From ad41967d2842809553e74740076691fccfa81b63 Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Sat, 20 Dec 2025 04:24:40 -0800 Subject: [PATCH 01/38] refactor: migrated to next 16, updated fumadocs - Deleted the empty middleware file as it was temporarily disabled for client-side i18n implementation. - Updated `next`, `next-intl`, and `fumadocs` packages to their latest versions. - Cleaned up the `next.config.ts` by removing the eslint configuration. - Enhanced `tsconfig.json` with additional paths for `fumadocs-mdx`. - Adjusted imports in `layout.tsx` and `request.ts` for better structure and functionality. --- surfsense_web/app/layout.tsx | 2 +- .../components/homepage/integrations.tsx | 2 +- surfsense_web/i18n/request.ts | 2 + surfsense_web/lib/source.ts | 2 +- surfsense_web/next.config.ts | 3 - surfsense_web/package.json | 13 +- surfsense_web/pnpm-lock.yaml | 1504 ++++++++++++++--- surfsense_web/{middleware.ts => proxy.ts} | 6 +- surfsense_web/source.config.ts | 4 +- surfsense_web/tsconfig.json | 68 +- 10 files changed, 1285 insertions(+), 321 deletions(-) rename surfsense_web/{middleware.ts => proxy.ts} (60%) diff --git a/surfsense_web/app/layout.tsx b/surfsense_web/app/layout.tsx index 54086194b..871293875 100644 --- a/surfsense_web/app/layout.tsx +++ b/surfsense_web/app/layout.tsx @@ -1,7 +1,7 @@ import type { Metadata } from "next"; import "./globals.css"; import { GoogleAnalytics } from "@next/third-parties/google"; -import { RootProvider } from "fumadocs-ui/provider"; +import { RootProvider } from "fumadocs-ui/provider/next"; import { Roboto } from "next/font/google"; import { I18nProvider } from "@/components/providers/I18nProvider"; import { ThemeProvider } from "@/components/theme/theme-provider"; diff --git a/surfsense_web/components/homepage/integrations.tsx b/surfsense_web/components/homepage/integrations.tsx index 0a5d93a98..a0ffd1d8c 100644 --- a/surfsense_web/components/homepage/integrations.tsx +++ b/surfsense_web/components/homepage/integrations.tsx @@ -16,7 +16,7 @@ const INTEGRATIONS: Integration[] = [ { name: "Elasticsearch", icon: "https://cdn.simpleicons.org/elastic/00A9E5" }, // Communication - { name: "Slack", icon: "https://cdn.simpleicons.org/slack/4A154B" }, + { name: "Slack", icon: "https://upload.wikimedia.org/wikipedia/commons/d/d5/Slack_icon_2019.svg" }, { name: "Discord", icon: "https://cdn.simpleicons.org/discord/5865F2" }, { name: "Gmail", icon: "https://cdn.simpleicons.org/gmail/EA4335" }, diff --git a/surfsense_web/i18n/request.ts b/surfsense_web/i18n/request.ts index 9a3f53b9b..9e03bc836 100644 --- a/surfsense_web/i18n/request.ts +++ b/surfsense_web/i18n/request.ts @@ -17,5 +17,7 @@ export default getRequestConfig(async ({ requestLocale }) => { return { locale, messages: (await import(`../messages/${locale}.json`)).default, + // Set a default timeZone to prevent hydration mismatches between server and client + timeZone: "UTC", }; }); diff --git a/surfsense_web/lib/source.ts b/surfsense_web/lib/source.ts index cc9ca9126..271ac5435 100644 --- a/surfsense_web/lib/source.ts +++ b/surfsense_web/lib/source.ts @@ -1,5 +1,5 @@ +import { docs } from "@/.source/server"; import { loader } from "fumadocs-core/source"; -import { docs } from "@/.source"; export const source = loader({ baseUrl: "/docs", diff --git a/surfsense_web/next.config.ts b/surfsense_web/next.config.ts index da58fa10c..1f232b1e1 100644 --- a/surfsense_web/next.config.ts +++ b/surfsense_web/next.config.ts @@ -12,9 +12,6 @@ const nextConfig: NextConfig = { typescript: { ignoreBuildErrors: true, }, - eslint: { - ignoreDuringBuilds: true, - }, images: { remotePatterns: [ { diff --git a/surfsense_web/package.json b/surfsense_web/package.json index adc6f1e48..9575b205e 100644 --- a/surfsense_web/package.json +++ b/surfsense_web/package.json @@ -66,16 +66,16 @@ "dotenv": "^17.2.3", "drizzle-orm": "^0.44.5", "emblor": "^1.4.8", - "fumadocs-core": "^15.6.6", - "fumadocs-mdx": "^11.7.1", - "fumadocs-ui": "^15.6.6", + "fumadocs-core": "^16.3.1", + "fumadocs-mdx": "^14.2.1", + "fumadocs-ui": "^16.3.1", "geist": "^1.4.2", "jotai": "^2.15.1", "jotai-tanstack-query": "^0.11.0", "lucide-react": "^0.477.0", "motion": "^12.23.22", - "next": "^15.5.9", - "next-intl": "^3.26.5", + "next": "^16.1.0", + "next-intl": "^4.6.1", "next-themes": "^0.4.6", "pg": "^8.16.3", "postgres": "^3.4.7", @@ -93,10 +93,11 @@ "rehype-raw": "^7.0.0", "rehype-sanitize": "^6.0.0", "remark-gfm": "^4.0.1", + "server-only": "^0.0.1", "sonner": "^2.0.6", "tailwind-merge": "^3.3.1", "tailwindcss-animate": "^1.0.7", - "zod": "^3.25.76" + "zod": "^4.2.1" }, "devDependencies": { "@biomejs/biome": "2.1.2", diff --git a/surfsense_web/pnpm-lock.yaml b/surfsense_web/pnpm-lock.yaml index d2055a7aa..e0d350275 100644 --- a/surfsense_web/pnpm-lock.yaml +++ b/surfsense_web/pnpm-lock.yaml @@ -10,7 +10,7 @@ importers: dependencies: '@ai-sdk/react': specifier: ^1.2.12 - version: 1.2.12(react@19.2.3)(zod@3.25.76) + version: 1.2.12(react@19.2.3)(zod@4.2.1) '@blocknote/core': specifier: ^0.42.3 version: 0.42.3(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(highlight.js@11.11.1) @@ -31,7 +31,7 @@ importers: version: 0.5.17(@babel/runtime@7.26.9)(@codemirror/autocomplete@6.18.6)(@codemirror/language@6.11.2)(@codemirror/lint@6.8.5)(@codemirror/search@6.5.11)(@codemirror/state@6.5.2)(@codemirror/theme-one-dark@6.1.3)(@codemirror/view@6.38.1)(@lezer/highlight@1.2.1)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(codemirror@6.0.2)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(yjs@13.6.27) '@next/third-parties': specifier: ^15.5.9 - version: 15.5.9(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3) + version: 15.5.9(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3) '@number-flow/react': specifier: ^0.5.10 version: 0.5.10(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -118,7 +118,7 @@ importers: version: 15.5.13 ai: specifier: ^4.3.19 - version: 4.3.19(react@19.2.3)(zod@3.25.76) + version: 4.3.19(react@19.2.3)(zod@4.2.1) canvas-confetti: specifier: ^1.9.3 version: 1.9.3 @@ -144,17 +144,17 @@ importers: specifier: ^1.4.8 version: 1.4.8(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) fumadocs-core: - specifier: ^15.6.6 - version: 15.6.6(@types/react@19.1.8)(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + specifier: ^16.3.1 + version: 16.3.1(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(zod@4.2.1) fumadocs-mdx: - specifier: ^11.7.1 - version: 11.7.1(acorn@8.14.0)(fumadocs-core@15.6.6(@types/react@19.1.8)(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3) + specifier: ^14.2.1 + version: 14.2.1(fumadocs-core@16.3.1(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(zod@4.2.1))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3) fumadocs-ui: - specifier: ^15.6.6 - version: 15.6.6(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(tailwindcss@4.1.11) + specifier: ^16.3.1 + version: 16.3.1(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(tailwindcss@4.1.11)(zod@4.2.1) geist: specifier: ^1.4.2 - version: 1.4.2(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)) + version: 1.4.2(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)) jotai: specifier: ^2.15.1 version: 2.15.1(@types/react@19.1.8)(react@19.2.3) @@ -168,11 +168,11 @@ importers: specifier: ^12.23.22 version: 12.23.22(react-dom@19.2.3(react@19.2.3))(react@19.2.3) next: - specifier: ^15.5.9 - version: 15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + specifier: ^16.1.0 + version: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) next-intl: - specifier: ^3.26.5 - version: 3.26.5(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3) + specifier: ^4.6.1 + version: 4.6.1(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3)(typescript@5.8.3) next-themes: specifier: ^0.4.6 version: 0.4.6(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -224,6 +224,9 @@ importers: remark-gfm: specifier: ^4.0.1 version: 4.0.1 + server-only: + specifier: ^0.0.1 + version: 0.0.1 sonner: specifier: ^2.0.6 version: 2.0.6(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -234,8 +237,8 @@ importers: specifier: ^1.0.7 version: 1.0.7(tailwindcss@4.1.11) zod: - specifier: ^3.25.76 - version: 3.25.76 + specifier: ^4.2.1 + version: 4.2.1 devDependencies: '@biomejs/biome': specifier: 2.1.2 @@ -570,6 +573,12 @@ packages: cpu: [ppc64] os: [aix] + '@esbuild/aix-ppc64@0.27.2': + resolution: {integrity: sha512-GZMB+a0mOMZs4MpDbj8RJp4cw+w1WV5NYD6xzgvzUJ5Ek2jerwfO2eADyI6ExDSUED+1X8aMbegahsJi+8mgpw==} + engines: {node: '>=18'} + cpu: [ppc64] + os: [aix] + '@esbuild/android-arm64@0.18.20': resolution: {integrity: sha512-Nz4rJcchGDtENV0eMKUNa6L12zz2zBDXuhj/Vjh18zGqB44Bi7MBMSXjgunJgjRhCmKOjnPuZp4Mb6OKqtMHLQ==} engines: {node: '>=12'} @@ -582,6 +591,12 @@ packages: cpu: [arm64] os: [android] + '@esbuild/android-arm64@0.27.2': + resolution: {integrity: sha512-pvz8ZZ7ot/RBphf8fv60ljmaoydPU12VuXHImtAs0XhLLw+EXBi2BLe3OYSBslR4rryHvweW5gmkKFwTiFy6KA==} + engines: {node: '>=18'} + cpu: [arm64] + os: [android] + '@esbuild/android-arm@0.18.20': resolution: {integrity: sha512-fyi7TDI/ijKKNZTUJAQqiG5T7YjJXgnzkURqmGj13C6dCqckZBLdl4h7bkhHt/t0WP+zO9/zwroDvANaOqO5Sw==} engines: {node: '>=12'} @@ -594,6 +609,12 @@ packages: cpu: [arm] os: [android] + '@esbuild/android-arm@0.27.2': + resolution: {integrity: sha512-DVNI8jlPa7Ujbr1yjU2PfUSRtAUZPG9I1RwW4F4xFB1Imiu2on0ADiI/c3td+KmDtVKNbi+nffGDQMfcIMkwIA==} + engines: {node: '>=18'} + cpu: [arm] + os: [android] + '@esbuild/android-x64@0.18.20': resolution: 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engines: {node: '>=12'} @@ -654,6 +699,12 @@ packages: cpu: [x64] os: [freebsd] + '@esbuild/freebsd-x64@0.27.2': + resolution: {integrity: sha512-tAfqtNYb4YgPnJlEFu4c212HYjQWSO/w/h/lQaBK7RbwGIkBOuNKQI9tqWzx7Wtp7bTPaGC6MJvWI608P3wXYA==} + engines: {node: '>=18'} + cpu: [x64] + os: [freebsd] + '@esbuild/linux-arm64@0.18.20': resolution: {integrity: sha512-2YbscF+UL7SQAVIpnWvYwM+3LskyDmPhe31pE7/aoTMFKKzIc9lLbyGUpmmb8a8AixOL61sQ/mFh3jEjHYFvdA==} engines: {node: '>=12'} @@ -666,6 +717,12 @@ packages: cpu: [arm64] os: [linux] + '@esbuild/linux-arm64@0.27.2': + resolution: {integrity: sha512-hYxN8pr66NsCCiRFkHUAsxylNOcAQaxSSkHMMjcpx0si13t1LHFphxJZUiGwojB1a/Hd5OiPIqDdXONia6bhTw==} + engines: {node: '>=18'} + cpu: [arm64] + os: [linux] + '@esbuild/linux-arm@0.18.20': resolution: {integrity: sha512-/5bHkMWnq1EgKr1V+Ybz3s1hWXok7mDFUMQ4cG10AfW3wL02PSZi5kFpYKrptDsgb2WAJIvRcDm+qIvXf/apvg==} engines: {node: '>=12'} @@ -678,6 +735,12 @@ packages: cpu: [arm] os: [linux] + '@esbuild/linux-arm@0.27.2': + 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'@esbuild/freebsd-arm64@0.18.20': optional: true '@esbuild/freebsd-arm64@0.25.8': optional: true + '@esbuild/freebsd-arm64@0.27.2': + optional: true + '@esbuild/freebsd-x64@0.18.20': optional: true '@esbuild/freebsd-x64@0.25.8': optional: true + '@esbuild/freebsd-x64@0.27.2': + optional: true + '@esbuild/linux-arm64@0.18.20': optional: true '@esbuild/linux-arm64@0.25.8': optional: true + '@esbuild/linux-arm64@0.27.2': + optional: true + '@esbuild/linux-arm@0.18.20': optional: true '@esbuild/linux-arm@0.25.8': optional: true + '@esbuild/linux-arm@0.27.2': + optional: true + '@esbuild/linux-ia32@0.18.20': optional: true '@esbuild/linux-ia32@0.25.8': optional: true + '@esbuild/linux-ia32@0.27.2': + optional: true + '@esbuild/linux-loong64@0.18.20': optional: true '@esbuild/linux-loong64@0.25.8': optional: true + '@esbuild/linux-loong64@0.27.2': + optional: true + '@esbuild/linux-mips64el@0.18.20': optional: true '@esbuild/linux-mips64el@0.25.8': optional: true + 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'@esbuild/openbsd-x64@0.18.20': optional: true '@esbuild/openbsd-x64@0.25.8': optional: true + '@esbuild/openbsd-x64@0.27.2': + optional: true + '@esbuild/openharmony-arm64@0.25.8': optional: true + '@esbuild/openharmony-arm64@0.27.2': + optional: true + '@esbuild/sunos-x64@0.18.20': optional: true '@esbuild/sunos-x64@0.25.8': optional: true + '@esbuild/sunos-x64@0.27.2': + optional: true + '@esbuild/win32-arm64@0.18.20': optional: true '@esbuild/win32-arm64@0.25.8': optional: true + '@esbuild/win32-arm64@0.27.2': + optional: true + '@esbuild/win32-ia32@0.18.20': optional: true '@esbuild/win32-ia32@0.25.8': optional: true + '@esbuild/win32-ia32@0.27.2': + optional: true + '@esbuild/win32-x64@0.18.20': optional: true '@esbuild/win32-x64@0.25.8': optional: true + '@esbuild/win32-x64@0.27.2': + optional: true + '@eslint-community/eslint-utils@4.4.1(eslint@9.32.0(jiti@2.4.2))': dependencies: eslint: 9.32.0(jiti@2.4.2) @@ -7057,14 +7639,38 @@ snapshots: dependencies: tslib: 2.8.1 - '@formatjs/intl-localematcher@0.6.1': - dependencies: - tslib: 2.8.1 - '@formatjs/intl-localematcher@0.6.2': dependencies: tslib: 2.8.1 + '@formatjs/intl-localematcher@0.7.2': + dependencies: + tslib: 2.8.1 + + '@fumadocs/ui@16.3.1(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(tailwindcss@4.1.11)(zod@4.2.1)': + dependencies: + fumadocs-core: 16.3.1(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(zod@4.2.1) + lodash.merge: 4.6.2 + next-themes: 0.4.6(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + postcss-selector-parser: 7.1.1 + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + tailwind-merge: 3.4.0 + optionalDependencies: + '@types/react': 19.1.8 + next: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + tailwindcss: 4.1.11 + transitivePeerDependencies: + - '@mixedbread/sdk' + - '@orama/core' + - '@tanstack/react-router' + - algoliasearch + - lucide-react + - react-router + - supports-color + - waku + - zod + '@hookform/resolvers@4.1.3(react-hook-form@7.61.1(react@19.2.3))': dependencies: '@standard-schema/utils': 0.3.0 @@ -7518,7 +8124,7 @@ snapshots: react: 19.2.3 react-dom: 19.2.3(react@19.2.3) react-number-format: 5.4.4(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - react-remove-scroll: 2.7.1(@types/react@19.1.8)(react@19.2.3) + react-remove-scroll: 2.7.2(@types/react@19.1.8)(react@19.2.3) react-textarea-autosize: 8.5.9(@types/react@19.1.8)(react@19.2.3) type-fest: 4.41.0 transitivePeerDependencies: @@ -7534,12 +8140,13 @@ snapshots: '@marijn/find-cluster-break@1.0.2': {} - '@mdx-js/mdx@3.1.0(acorn@8.14.0)': + '@mdx-js/mdx@3.1.1': dependencies: '@types/estree': 1.0.8 '@types/estree-jsx': 1.0.5 '@types/hast': 3.0.4 '@types/mdx': 2.0.13 + acorn: 8.15.0 collapse-white-space: 2.1.0 devlop: 1.1.0 estree-util-is-identifier-name: 3.0.0 @@ -7548,10 +8155,10 @@ snapshots: hast-util-to-jsx-runtime: 2.3.6 markdown-extensions: 2.0.0 recma-build-jsx: 1.0.0 - recma-jsx: 1.0.0(acorn@8.14.0) + recma-jsx: 1.0.0(acorn@8.15.0) recma-stringify: 1.0.0 rehype-recma: 1.0.0 - remark-mdx: 3.1.0 + remark-mdx: 3.1.1 remark-parse: 11.0.0 remark-rehype: 11.1.2 source-map: 0.7.4 @@ -7561,7 +8168,6 @@ snapshots: unist-util-visit: 5.0.0 vfile: 6.0.3 transitivePeerDependencies: - - acorn - supports-color '@mdxeditor/editor@3.40.0(@codemirror/language@6.11.2)(@lezer/highlight@1.2.1)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(yjs@13.6.27)': @@ -7635,39 +8241,39 @@ snapshots: react: 19.2.3 react-dom: 19.2.3(react@19.2.3) - '@next/env@15.5.9': {} + '@next/env@16.1.0': {} '@next/eslint-plugin-next@15.2.0': dependencies: fast-glob: 3.3.1 - '@next/swc-darwin-arm64@15.5.7': + '@next/swc-darwin-arm64@16.1.0': optional: true - '@next/swc-darwin-x64@15.5.7': + '@next/swc-darwin-x64@16.1.0': optional: true - '@next/swc-linux-arm64-gnu@15.5.7': + '@next/swc-linux-arm64-gnu@16.1.0': optional: true - '@next/swc-linux-arm64-musl@15.5.7': + '@next/swc-linux-arm64-musl@16.1.0': optional: true - '@next/swc-linux-x64-gnu@15.5.7': + '@next/swc-linux-x64-gnu@16.1.0': optional: true - '@next/swc-linux-x64-musl@15.5.7': + '@next/swc-linux-x64-musl@16.1.0': optional: true - '@next/swc-win32-arm64-msvc@15.5.7': + '@next/swc-win32-arm64-msvc@16.1.0': optional: true - '@next/swc-win32-x64-msvc@15.5.7': + '@next/swc-win32-x64-msvc@16.1.0': optional: true - '@next/third-parties@15.5.9(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3)': + '@next/third-parties@15.5.9(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3)': dependencies: - next: 15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + next: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) react: 19.2.3 third-party-capital: 1.0.20 @@ -7696,7 +8302,67 @@ snapshots: '@opentelemetry/api@1.9.0': {} - '@orama/orama@3.1.11': {} + '@orama/orama@3.1.18': {} + + '@parcel/watcher-android-arm64@2.5.1': + optional: true + + '@parcel/watcher-darwin-arm64@2.5.1': + optional: true + + '@parcel/watcher-darwin-x64@2.5.1': + optional: true + + '@parcel/watcher-freebsd-x64@2.5.1': + optional: true + + '@parcel/watcher-linux-arm-glibc@2.5.1': + optional: true + + '@parcel/watcher-linux-arm-musl@2.5.1': + optional: true + + '@parcel/watcher-linux-arm64-glibc@2.5.1': + optional: true + + '@parcel/watcher-linux-arm64-musl@2.5.1': + optional: true + + '@parcel/watcher-linux-x64-glibc@2.5.1': + optional: true + + '@parcel/watcher-linux-x64-musl@2.5.1': + optional: true + + '@parcel/watcher-win32-arm64@2.5.1': + optional: true + + '@parcel/watcher-win32-ia32@2.5.1': + optional: true + + '@parcel/watcher-win32-x64@2.5.1': + optional: true + + '@parcel/watcher@2.5.1': + dependencies: + detect-libc: 1.0.3 + is-glob: 4.0.3 + micromatch: 4.0.8 + node-addon-api: 7.1.1 + optionalDependencies: + '@parcel/watcher-android-arm64': 2.5.1 + '@parcel/watcher-darwin-arm64': 2.5.1 + '@parcel/watcher-darwin-x64': 2.5.1 + '@parcel/watcher-freebsd-x64': 2.5.1 + '@parcel/watcher-linux-arm-glibc': 2.5.1 + '@parcel/watcher-linux-arm-musl': 2.5.1 + '@parcel/watcher-linux-arm64-glibc': 2.5.1 + '@parcel/watcher-linux-arm64-musl': 2.5.1 + '@parcel/watcher-linux-x64-glibc': 2.5.1 + '@parcel/watcher-linux-x64-musl': 2.5.1 + '@parcel/watcher-win32-arm64': 2.5.1 + '@parcel/watcher-win32-ia32': 2.5.1 + '@parcel/watcher-win32-x64': 2.5.1 '@radix-ui/colors@3.0.0': {} @@ -7731,6 +8397,23 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-accordion@1.2.12(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + dependencies: + '@radix-ui/primitive': 1.1.3 + '@radix-ui/react-collapsible': 1.1.12(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-collection': 1.1.7(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-direction': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-id': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.8)(react@19.2.3) + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-alert-dialog@1.1.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@radix-ui/primitive': 1.1.2 @@ -7808,6 +8491,22 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-collapsible@1.1.12(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + dependencies: + '@radix-ui/primitive': 1.1.3 + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-id': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-presence': 1.1.5(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@19.1.8)(react@19.2.3) + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-collection@1.1.7(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) @@ -7923,6 +8622,28 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-dialog@1.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + dependencies: + '@radix-ui/primitive': 1.1.3 + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-dismissable-layer': 1.1.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-focus-guards': 1.1.3(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-focus-scope': 1.1.7(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-id': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-portal': 1.1.9(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-presence': 1.1.5(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-slot': 1.2.3(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.8)(react@19.2.3) + aria-hidden: 1.2.6 + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + react-remove-scroll: 2.7.2(@types/react@19.1.8)(react@19.2.3) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-direction@1.1.1(@types/react@19.1.8)(react@19.2.3)': dependencies: react: 19.2.3 @@ -7967,6 +8688,19 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-dismissable-layer@1.1.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + dependencies: + '@radix-ui/primitive': 1.1.3 + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-use-callback-ref': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-use-escape-keydown': 1.1.1(@types/react@19.1.8)(react@19.2.3) + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-dropdown-menu@2.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@radix-ui/primitive': 1.1.2 @@ -8000,6 +8734,12 @@ snapshots: optionalDependencies: '@types/react': 19.1.8 + '@radix-ui/react-focus-guards@1.1.3(@types/react@19.1.8)(react@19.2.3)': + dependencies: + react: 19.2.3 + optionalDependencies: + '@types/react': 19.1.8 + '@radix-ui/react-focus-scope@1.0.0(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@babel/runtime': 7.26.9 @@ -8109,16 +8849,16 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) - '@radix-ui/react-navigation-menu@1.2.13(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + '@radix-ui/react-navigation-menu@1.2.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: - '@radix-ui/primitive': 1.1.2 + '@radix-ui/primitive': 1.1.3 '@radix-ui/react-collection': 1.1.7(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.2.3) '@radix-ui/react-direction': 1.1.1(@types/react@19.1.8)(react@19.2.3) - '@radix-ui/react-dismissable-layer': 1.1.10(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-dismissable-layer': 1.1.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-id': 1.1.1(@types/react@19.1.8)(react@19.2.3) - '@radix-ui/react-presence': 1.1.4(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-presence': 1.1.5(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-use-callback-ref': 1.1.1(@types/react@19.1.8)(react@19.2.3) '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.8)(react@19.2.3) @@ -8154,6 +8894,29 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-popover@1.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + dependencies: + '@radix-ui/primitive': 1.1.3 + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-dismissable-layer': 1.1.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-focus-guards': 1.1.3(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-focus-scope': 1.1.7(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-id': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-popper': 1.2.8(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-portal': 1.1.9(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-presence': 1.1.5(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-slot': 1.2.3(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.8)(react@19.2.3) + aria-hidden: 1.2.6 + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + react-remove-scroll: 2.7.2(@types/react@19.1.8)(react@19.2.3) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-popper@1.2.4(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@floating-ui/react-dom': 2.1.2(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -8190,6 +8953,24 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-popper@1.2.8(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + dependencies: + '@floating-ui/react-dom': 2.1.6(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-arrow': 1.1.7(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-use-callback-ref': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-use-rect': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-use-size': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/rect': 1.1.1 + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-portal@1.0.0(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@babel/runtime': 7.26.9 @@ -8353,6 +9134,23 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-scroll-area@1.2.10(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + dependencies: + '@radix-ui/number': 1.1.1 + '@radix-ui/primitive': 1.1.3 + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-direction': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-presence': 1.1.5(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-use-callback-ref': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@19.1.8)(react@19.2.3) + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-scroll-area@1.2.9(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@radix-ui/number': 1.1.1 @@ -8455,6 +9253,13 @@ snapshots: optionalDependencies: '@types/react': 19.1.8 + '@radix-ui/react-slot@1.2.4(@types/react@19.1.8)(react@19.2.3)': + dependencies: + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) + react: 19.2.3 + optionalDependencies: + '@types/react': 19.1.8 + '@radix-ui/react-switch@1.2.6(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@radix-ui/primitive': 1.1.3 @@ -8486,6 +9291,22 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-tabs@1.1.13(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + dependencies: + '@radix-ui/primitive': 1.1.3 + '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-direction': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-id': 1.1.1(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-presence': 1.1.5(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-roving-focus': 1.1.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.8)(react@19.2.3) + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-toggle-group@1.1.10(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@radix-ui/primitive': 1.1.2 @@ -8687,68 +9508,122 @@ snapshots: '@rushstack/eslint-patch@1.10.5': {} - '@shikijs/core@3.8.1': + '@schummar/icu-type-parser@1.21.5': {} + + '@shikijs/core@3.20.0': dependencies: - '@shikijs/types': 3.8.1 + '@shikijs/types': 3.20.0 '@shikijs/vscode-textmate': 10.0.2 '@types/hast': 3.0.4 hast-util-to-html: 9.0.5 - '@shikijs/engine-javascript@3.8.1': + '@shikijs/engine-javascript@3.20.0': dependencies: - '@shikijs/types': 3.8.1 + '@shikijs/types': 3.20.0 '@shikijs/vscode-textmate': 10.0.2 - oniguruma-to-es: 4.3.3 + oniguruma-to-es: 4.3.4 - '@shikijs/engine-oniguruma@3.8.1': + '@shikijs/engine-oniguruma@3.20.0': dependencies: - '@shikijs/types': 3.8.1 + '@shikijs/types': 3.20.0 '@shikijs/vscode-textmate': 10.0.2 - '@shikijs/langs@3.8.1': + '@shikijs/langs@3.20.0': dependencies: - '@shikijs/types': 3.8.1 + '@shikijs/types': 3.20.0 - '@shikijs/rehype@3.8.1': + '@shikijs/rehype@3.20.0': dependencies: - '@shikijs/types': 3.8.1 + '@shikijs/types': 3.20.0 '@types/hast': 3.0.4 hast-util-to-string: 3.0.1 - shiki: 3.8.1 + shiki: 3.20.0 unified: 11.0.5 unist-util-visit: 5.0.0 - '@shikijs/themes@3.8.1': + '@shikijs/themes@3.20.0': dependencies: - '@shikijs/types': 3.8.1 + '@shikijs/types': 3.20.0 - '@shikijs/transformers@3.8.1': + '@shikijs/transformers@3.20.0': dependencies: - '@shikijs/core': 3.8.1 - '@shikijs/types': 3.8.1 + '@shikijs/core': 3.20.0 + '@shikijs/types': 3.20.0 '@shikijs/types@3.13.0': dependencies: '@shikijs/vscode-textmate': 10.0.2 '@types/hast': 3.0.4 - '@shikijs/types@3.8.1': + '@shikijs/types@3.20.0': dependencies: '@shikijs/vscode-textmate': 10.0.2 '@types/hast': 3.0.4 '@shikijs/vscode-textmate@10.0.2': {} - '@standard-schema/spec@1.0.0': {} + '@standard-schema/spec@1.1.0': {} '@standard-schema/utils@0.3.0': {} '@stitches/core@1.2.8': {} + '@swc/core-darwin-arm64@1.15.7': + optional: true + + '@swc/core-darwin-x64@1.15.7': + optional: true + + '@swc/core-linux-arm-gnueabihf@1.15.7': + optional: true + + '@swc/core-linux-arm64-gnu@1.15.7': + optional: true + + '@swc/core-linux-arm64-musl@1.15.7': + optional: true + + '@swc/core-linux-x64-gnu@1.15.7': + optional: true + + '@swc/core-linux-x64-musl@1.15.7': + optional: true + + '@swc/core-win32-arm64-msvc@1.15.7': + optional: true + + '@swc/core-win32-ia32-msvc@1.15.7': + optional: true + + '@swc/core-win32-x64-msvc@1.15.7': + optional: true + + '@swc/core@1.15.7': + dependencies: + '@swc/counter': 0.1.3 + '@swc/types': 0.1.25 + optionalDependencies: + '@swc/core-darwin-arm64': 1.15.7 + '@swc/core-darwin-x64': 1.15.7 + '@swc/core-linux-arm-gnueabihf': 1.15.7 + '@swc/core-linux-arm64-gnu': 1.15.7 + '@swc/core-linux-arm64-musl': 1.15.7 + '@swc/core-linux-x64-gnu': 1.15.7 + '@swc/core-linux-x64-musl': 1.15.7 + '@swc/core-win32-arm64-msvc': 1.15.7 + '@swc/core-win32-ia32-msvc': 1.15.7 + '@swc/core-win32-x64-msvc': 1.15.7 + + '@swc/counter@0.1.3': {} + '@swc/helpers@0.5.15': dependencies: tslib: 2.8.1 + '@swc/types@0.1.25': + dependencies: + '@swc/counter': 0.1.3 + '@tabler/icons-react@3.34.1(react@19.2.3)': dependencies: '@tabler/icons': 3.34.1 @@ -9185,15 +10060,15 @@ snapshots: agent-base@7.1.4: {} - ai@4.3.19(react@19.2.3)(zod@3.25.76): + ai@4.3.19(react@19.2.3)(zod@4.2.1): dependencies: '@ai-sdk/provider': 1.1.3 - '@ai-sdk/provider-utils': 2.2.8(zod@3.25.76) - '@ai-sdk/react': 1.2.12(react@19.2.3)(zod@3.25.76) - '@ai-sdk/ui-utils': 1.2.11(zod@3.25.76) + '@ai-sdk/provider-utils': 2.2.8(zod@4.2.1) + '@ai-sdk/react': 1.2.12(react@19.2.3)(zod@4.2.1) + '@ai-sdk/ui-utils': 1.2.11(zod@4.2.1) '@opentelemetry/api': 1.9.0 jsondiffpatch: 0.6.0 - zod: 3.25.76 + zod: 4.2.1 optionalDependencies: react: 19.2.3 @@ -9312,6 +10187,8 @@ snapshots: base64-js@1.5.1: {} + baseline-browser-mapping@2.9.11: {} + bl@4.1.0: dependencies: buffer: 5.7.1 @@ -9397,9 +10274,9 @@ snapshots: character-reference-invalid@2.0.1: {} - chokidar@4.0.3: + chokidar@5.0.0: dependencies: - readdirp: 4.1.2 + readdirp: 5.0.0 chownr@1.1.4: optional: true @@ -9580,6 +10457,8 @@ snapshots: dequal@2.0.3: {} + detect-libc@1.0.3: {} + detect-libc@2.0.3: {} detect-libc@2.0.4: {} @@ -9794,7 +10673,7 @@ snapshots: esast-util-from-js@2.0.1: dependencies: '@types/estree-jsx': 1.0.5 - acorn: 8.14.0 + acorn: 8.15.0 esast-util-from-estree: 2.0.0 vfile-message: 4.0.2 @@ -9859,6 +10738,35 @@ snapshots: '@esbuild/win32-ia32': 0.25.8 '@esbuild/win32-x64': 0.25.8 + esbuild@0.27.2: + optionalDependencies: + '@esbuild/aix-ppc64': 0.27.2 + '@esbuild/android-arm': 0.27.2 + '@esbuild/android-arm64': 0.27.2 + '@esbuild/android-x64': 0.27.2 + '@esbuild/darwin-arm64': 0.27.2 + '@esbuild/darwin-x64': 0.27.2 + '@esbuild/freebsd-arm64': 0.27.2 + '@esbuild/freebsd-x64': 0.27.2 + '@esbuild/linux-arm': 0.27.2 + '@esbuild/linux-arm64': 0.27.2 + '@esbuild/linux-ia32': 0.27.2 + '@esbuild/linux-loong64': 0.27.2 + '@esbuild/linux-mips64el': 0.27.2 + '@esbuild/linux-ppc64': 0.27.2 + '@esbuild/linux-riscv64': 0.27.2 + '@esbuild/linux-s390x': 0.27.2 + '@esbuild/linux-x64': 0.27.2 + '@esbuild/netbsd-arm64': 0.27.2 + '@esbuild/netbsd-x64': 0.27.2 + '@esbuild/openbsd-arm64': 0.27.2 + '@esbuild/openbsd-x64': 0.27.2 + '@esbuild/openharmony-arm64': 0.27.2 + '@esbuild/sunos-x64': 0.27.2 + '@esbuild/win32-arm64': 0.27.2 + '@esbuild/win32-ia32': 0.27.2 + '@esbuild/win32-x64': 0.27.2 + escape-carriage@1.3.1: {} escape-string-regexp@4.0.0: {} @@ -10101,7 +11009,7 @@ snapshots: astring: 1.9.0 source-map: 0.7.4 - estree-util-value-to-estree@3.4.0: + estree-util-value-to-estree@3.5.0: dependencies: '@types/estree': 1.0.8 @@ -10184,11 +11092,11 @@ snapshots: transitivePeerDependencies: - encoding - fdir@6.4.3(picomatch@4.0.2): + fdir@6.4.3(picomatch@4.0.3): optionalDependencies: - picomatch: 4.0.2 + picomatch: 4.0.3 - fdir@6.4.6(picomatch@4.0.3): + fdir@6.5.0(picomatch@4.0.3): optionalDependencies: picomatch: 4.0.3 @@ -10253,87 +11161,97 @@ snapshots: fsevents@2.3.3: optional: true - fumadocs-core@15.6.6(@types/react@19.1.8)(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3): + fumadocs-core@16.3.1(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(zod@4.2.1): dependencies: - '@formatjs/intl-localematcher': 0.6.1 - '@orama/orama': 3.1.11 - '@shikijs/rehype': 3.8.1 - '@shikijs/transformers': 3.8.1 + '@formatjs/intl-localematcher': 0.7.2 + '@orama/orama': 3.1.18 + '@shikijs/rehype': 3.20.0 + '@shikijs/transformers': 3.20.0 + estree-util-value-to-estree: 3.5.0 github-slugger: 2.0.0 hast-util-to-estree: 3.1.3 hast-util-to-jsx-runtime: 2.3.6 image-size: 2.0.2 negotiator: 1.0.0 npm-to-yarn: 3.0.1 - react-remove-scroll: 2.7.1(@types/react@19.1.8)(react@19.2.3) + path-to-regexp: 8.3.0 remark: 15.0.1 remark-gfm: 4.0.1 remark-rehype: 11.1.2 scroll-into-view-if-needed: 3.1.0 - shiki: 3.8.1 + shiki: 3.20.0 unist-util-visit: 5.0.0 optionalDependencies: '@types/react': 19.1.8 - next: 15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + lucide-react: 0.477.0(react@19.2.3) + next: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) react: 19.2.3 react-dom: 19.2.3(react@19.2.3) + zod: 4.2.1 transitivePeerDependencies: - supports-color - fumadocs-mdx@11.7.1(acorn@8.14.0)(fumadocs-core@15.6.6(@types/react@19.1.8)(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3): + fumadocs-mdx@14.2.1(fumadocs-core@16.3.1(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(zod@4.2.1))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3): dependencies: - '@mdx-js/mdx': 3.1.0(acorn@8.14.0) - '@standard-schema/spec': 1.0.0 - chokidar: 4.0.3 - esbuild: 0.25.8 - estree-util-value-to-estree: 3.4.0 - fumadocs-core: 15.6.6(@types/react@19.1.8)(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - js-yaml: 4.1.0 - lru-cache: 11.1.0 + '@mdx-js/mdx': 3.1.1 + '@standard-schema/spec': 1.1.0 + chokidar: 5.0.0 + esbuild: 0.27.2 + estree-util-value-to-estree: 3.5.0 + fumadocs-core: 16.3.1(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(zod@4.2.1) + js-yaml: 4.1.1 + mdast-util-to-markdown: 2.1.2 picocolors: 1.1.1 - tinyexec: 1.0.1 - tinyglobby: 0.2.14 + picomatch: 4.0.3 + remark-mdx: 3.1.1 + tinyexec: 1.0.2 + tinyglobby: 0.2.15 + unified: 11.0.5 + unist-util-remove-position: 5.0.0 unist-util-visit: 5.0.0 - zod: 4.0.10 + vfile: 6.0.3 + zod: 4.2.1 optionalDependencies: - next: 15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + next: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) react: 19.2.3 transitivePeerDependencies: - - acorn - supports-color - fumadocs-ui@15.6.6(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(tailwindcss@4.1.11): + fumadocs-ui@16.3.1(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(tailwindcss@4.1.11)(zod@4.2.1): dependencies: - '@radix-ui/react-accordion': 1.2.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-collapsible': 1.1.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-dialog': 1.1.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@fumadocs/ui': 16.3.1(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(tailwindcss@4.1.11)(zod@4.2.1) + '@radix-ui/react-accordion': 1.2.12(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-collapsible': 1.1.12(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-dialog': 1.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-direction': 1.1.1(@types/react@19.1.8)(react@19.2.3) - '@radix-ui/react-navigation-menu': 1.2.13(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-popover': 1.1.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-presence': 1.1.4(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-scroll-area': 1.2.9(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-slot': 1.2.3(@types/react@19.1.8)(react@19.2.3) - '@radix-ui/react-tabs': 1.1.12(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-navigation-menu': 1.2.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-popover': 1.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-presence': 1.1.5(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-scroll-area': 1.2.10(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-slot': 1.2.4(@types/react@19.1.8)(react@19.2.3) + '@radix-ui/react-tabs': 1.1.13(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) class-variance-authority: 0.7.1 - fumadocs-core: 15.6.6(@types/react@19.1.8)(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - lodash.merge: 4.6.2 + fumadocs-core: 16.3.1(@types/react@19.1.8)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(zod@4.2.1) next-themes: 0.4.6(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - postcss-selector-parser: 7.1.0 react: 19.2.3 react-dom: 19.2.3(react@19.2.3) - react-medium-image-zoom: 5.3.0(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + react-medium-image-zoom: 5.4.0(react-dom@19.2.3(react@19.2.3))(react@19.2.3) scroll-into-view-if-needed: 3.1.0 - tailwind-merge: 3.3.1 optionalDependencies: '@types/react': 19.1.8 - next: 15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) tailwindcss: 4.1.11 transitivePeerDependencies: - '@mixedbread/sdk' - - '@oramacloud/client' + - '@orama/core' + - '@tanstack/react-router' - '@types/react-dom' - algoliasearch + - lucide-react + - next + - react-router - supports-color + - waku + - zod function-bind@1.1.2: {} @@ -10350,9 +11268,9 @@ snapshots: fuse.js@6.6.2: {} - geist@1.4.2(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)): + geist@1.4.2(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)): dependencies: - next: 15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + next: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) get-intrinsic@1.3.0: dependencies: @@ -10475,7 +11393,7 @@ snapshots: '@types/unist': 3.0.3 devlop: 1.1.0 hastscript: 9.0.1 - property-information: 7.0.0 + property-information: 7.1.0 vfile: 6.0.3 vfile-location: 5.0.3 web-namespaces: 2.0.1 @@ -10896,6 +11814,10 @@ snapshots: dependencies: argparse: 2.0.1 + js-yaml@4.1.1: + dependencies: + argparse: 2.0.1 + jsdom@25.0.1: dependencies: cssstyle: 4.6.0 @@ -11058,8 +11980,6 @@ snapshots: lru-cache@10.4.3: {} - lru-cache@11.1.0: {} - lucide-react@0.453.0(react@19.2.3): dependencies: react: 19.2.3 @@ -11625,8 +12545,8 @@ snapshots: micromark-extension-mdxjs@3.0.0: dependencies: - acorn: 8.14.0 - acorn-jsx: 5.3.2(acorn@8.14.0) + acorn: 8.15.0 + acorn-jsx: 5.3.2(acorn@8.15.0) micromark-extension-mdx-expression: 3.0.1 micromark-extension-mdx-jsx: 3.0.2 micromark-extension-mdx-md: 2.0.0 @@ -11950,13 +12870,23 @@ snapshots: negotiator@1.0.0: {} - next-intl@3.26.5(next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3): + next-intl-swc-plugin-extractor@4.6.1: {} + + next-intl@4.6.1(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3)(typescript@5.8.3): dependencies: '@formatjs/intl-localematcher': 0.5.10 + '@parcel/watcher': 2.5.1 + '@swc/core': 1.15.7 negotiator: 1.0.0 - next: 15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + next: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + next-intl-swc-plugin-extractor: 4.6.1 + po-parser: 2.0.0 react: 19.2.3 - use-intl: 3.26.5(react@19.2.3) + use-intl: 4.6.1(react@19.2.3) + optionalDependencies: + typescript: 5.8.3 + transitivePeerDependencies: + - '@swc/helpers' next-themes@0.4.6(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: @@ -11965,24 +12895,25 @@ snapshots: next-tick@1.1.0: {} - next@15.5.9(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3): + next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: - '@next/env': 15.5.9 + '@next/env': 16.1.0 '@swc/helpers': 0.5.15 + baseline-browser-mapping: 2.9.11 caniuse-lite: 1.0.30001706 postcss: 8.4.31 react: 19.2.3 react-dom: 19.2.3(react@19.2.3) styled-jsx: 5.1.6(react@19.2.3) optionalDependencies: - '@next/swc-darwin-arm64': 15.5.7 - '@next/swc-darwin-x64': 15.5.7 - '@next/swc-linux-arm64-gnu': 15.5.7 - '@next/swc-linux-arm64-musl': 15.5.7 - '@next/swc-linux-x64-gnu': 15.5.7 - '@next/swc-linux-x64-musl': 15.5.7 - '@next/swc-win32-arm64-msvc': 15.5.7 - '@next/swc-win32-x64-msvc': 15.5.7 + '@next/swc-darwin-arm64': 16.1.0 + '@next/swc-darwin-x64': 16.1.0 + '@next/swc-linux-arm64-gnu': 16.1.0 + '@next/swc-linux-arm64-musl': 16.1.0 + '@next/swc-linux-x64-gnu': 16.1.0 + '@next/swc-linux-x64-musl': 16.1.0 + '@next/swc-win32-arm64-msvc': 16.1.0 + '@next/swc-win32-x64-msvc': 16.1.0 '@opentelemetry/api': 1.9.0 sharp: 0.34.5 transitivePeerDependencies: @@ -11994,8 +12925,7 @@ snapshots: semver: 7.7.3 optional: true - node-addon-api@7.1.1: - optional: true + node-addon-api@7.1.1: {} node-fetch@2.7.0: dependencies: @@ -12057,7 +12987,7 @@ snapshots: oniguruma-parser@0.12.1: {} - oniguruma-to-es@4.3.3: + oniguruma-to-es@4.3.4: dependencies: oniguruma-parser: 0.12.1 regex: 6.0.1 @@ -12123,6 +13053,8 @@ snapshots: path-parse@1.0.7: {} + path-to-regexp@8.3.0: {} + path2d@0.2.2: optional: true @@ -12170,10 +13102,10 @@ snapshots: picomatch@2.3.1: {} - picomatch@4.0.2: {} - picomatch@4.0.3: {} + po-parser@2.0.0: {} + possible-typed-array-names@1.1.0: {} postcss-selector-parser@6.0.10: @@ -12181,7 +13113,7 @@ snapshots: cssesc: 3.0.0 util-deprecate: 1.0.2 - postcss-selector-parser@7.1.0: + postcss-selector-parser@7.1.1: dependencies: cssesc: 3.0.0 util-deprecate: 1.0.2 @@ -12505,7 +13437,7 @@ snapshots: transitivePeerDependencies: - supports-color - react-medium-image-zoom@5.3.0(react-dom@19.2.3(react@19.2.3))(react@19.2.3): + react-medium-image-zoom@5.4.0(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: react: 19.2.3 react-dom: 19.2.3(react@19.2.3) @@ -12571,6 +13503,17 @@ snapshots: optionalDependencies: '@types/react': 19.1.8 + react-remove-scroll@2.7.2(@types/react@19.1.8)(react@19.2.3): + dependencies: + react: 19.2.3 + react-remove-scroll-bar: 2.3.8(@types/react@19.1.8)(react@19.2.3) + react-style-singleton: 2.2.3(@types/react@19.1.8)(react@19.2.3) + tslib: 2.8.1 + use-callback-ref: 1.3.3(@types/react@19.1.8)(react@19.2.3) + use-sidecar: 1.1.3(@types/react@19.1.8)(react@19.2.3) + optionalDependencies: + '@types/react': 19.1.8 + react-rough-notation@1.0.5(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: react: 19.2.3 @@ -12633,7 +13576,7 @@ snapshots: util-deprecate: 1.0.2 optional: true - readdirp@4.1.2: {} + readdirp@5.0.0: {} recma-build-jsx@1.0.0: dependencies: @@ -12641,9 +13584,9 @@ snapshots: estree-util-build-jsx: 3.0.1 vfile: 6.0.3 - recma-jsx@1.0.0(acorn@8.14.0): + recma-jsx@1.0.0(acorn@8.15.0): dependencies: - acorn-jsx: 5.3.2(acorn@8.14.0) + acorn-jsx: 5.3.2(acorn@8.15.0) estree-util-to-js: 2.0.0 recma-parse: 1.0.0 recma-stringify: 1.0.0 @@ -12795,7 +13738,7 @@ snapshots: micromark-extension-math: 2.1.2 unified: 10.1.2 - remark-mdx@3.1.0: + remark-mdx@3.1.1: dependencies: mdast-util-mdx: 3.0.0 micromark-extension-mdxjs: 3.0.0 @@ -12923,6 +13866,8 @@ snapshots: semver@7.7.3: {} + server-only@0.0.1: {} + set-function-length@1.2.2: dependencies: define-data-property: 1.1.4 @@ -12985,14 +13930,14 @@ snapshots: shebang-regex@3.0.0: {} - shiki@3.8.1: + shiki@3.20.0: dependencies: - '@shikijs/core': 3.8.1 - '@shikijs/engine-javascript': 3.8.1 - '@shikijs/engine-oniguruma': 3.8.1 - '@shikijs/langs': 3.8.1 - '@shikijs/themes': 3.8.1 - '@shikijs/types': 3.8.1 + '@shikijs/core': 3.20.0 + '@shikijs/engine-javascript': 3.20.0 + '@shikijs/engine-oniguruma': 3.20.0 + '@shikijs/langs': 3.20.0 + '@shikijs/themes': 3.20.0 + '@shikijs/types': 3.20.0 '@shikijs/vscode-textmate': 10.0.2 '@types/hast': 3.0.4 @@ -13219,16 +14164,16 @@ snapshots: tiny-invariant@1.3.3: {} - tinyexec@1.0.1: {} + tinyexec@1.0.2: {} tinyglobby@0.2.12: dependencies: - fdir: 6.4.3(picomatch@4.0.2) - picomatch: 4.0.2 + fdir: 6.4.3(picomatch@4.0.3) + picomatch: 4.0.3 - tinyglobby@0.2.14: + tinyglobby@0.2.15: dependencies: - fdir: 6.4.6(picomatch@4.0.3) + fdir: 6.5.0(picomatch@4.0.3) picomatch: 4.0.3 tldts-core@6.1.86: {} @@ -13456,9 +14401,10 @@ snapshots: optionalDependencies: '@types/react': 19.1.8 - use-intl@3.26.5(react@19.2.3): + use-intl@4.6.1(react@19.2.3): dependencies: '@formatjs/fast-memoize': 2.2.7 + '@schummar/icu-type-parser': 1.21.5 intl-messageformat: 10.7.18 react: 19.2.3 @@ -13661,12 +14607,10 @@ snapshots: yocto-queue@0.1.0: {} - zod-to-json-schema@3.24.3(zod@3.25.76): + zod-to-json-schema@3.24.3(zod@4.2.1): dependencies: - zod: 3.25.76 + zod: 4.2.1 - zod@3.25.76: {} - - zod@4.0.10: {} + zod@4.2.1: {} zwitch@2.0.4: {} diff --git a/surfsense_web/middleware.ts b/surfsense_web/proxy.ts similarity index 60% rename from surfsense_web/middleware.ts rename to surfsense_web/proxy.ts index c7eb6f91f..8accc38c8 100644 --- a/surfsense_web/middleware.ts +++ b/surfsense_web/proxy.ts @@ -1,11 +1,11 @@ -// Middleware temporarily disabled for client-side i18n implementation +// Proxy temporarily disabled for client-side i18n implementation // Server-side i18n routing would require restructuring entire app directory to app/[locale]/... // which is too invasive for this project import type { NextRequest } from "next/server"; import { NextResponse } from "next/server"; -// Empty middleware - just pass through all requests -export function middleware(request: NextRequest) { +// Empty proxy - just pass through all requests +export function proxy(request: NextRequest) { return NextResponse.next(); } diff --git a/surfsense_web/source.config.ts b/surfsense_web/source.config.ts index fe40bd31e..d8c0981d3 100644 --- a/surfsense_web/source.config.ts +++ b/surfsense_web/source.config.ts @@ -1,5 +1,7 @@ -import { defineDocs } from "fumadocs-mdx/config"; +import { defineDocs, defineConfig } from "fumadocs-mdx/config"; export const docs = defineDocs({ dir: "content/docs", }); + +export default defineConfig(); diff --git a/surfsense_web/tsconfig.json b/surfsense_web/tsconfig.json index d87e256b2..1390f93ed 100644 --- a/surfsense_web/tsconfig.json +++ b/surfsense_web/tsconfig.json @@ -1,27 +1,45 @@ { - "compilerOptions": { - "target": "ES2017", - "lib": ["dom", "dom.iterable", "esnext"], - "allowJs": true, - "skipLibCheck": true, - "strict": true, - "noEmit": true, - "esModuleInterop": true, - "module": "esnext", - "moduleResolution": "bundler", - "resolveJsonModule": true, - "isolatedModules": true, - "jsx": "preserve", - "incremental": true, - "plugins": [ - { - "name": "next" - } - ], - "paths": { - "@/*": ["./*"] - } - }, - "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts", "next.config.mjs"], - "exclude": ["node_modules"] + "compilerOptions": { + "target": "ES2017", + "lib": [ + "dom", + "dom.iterable", + "esnext" + ], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": [ + "./*" + ], + "fumadocs-mdx:collections/*": [ + "./.source/*" + ] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + "next.config.mjs", + ".next/dev/types/**/*.ts" + ], + "exclude": [ + "node_modules" + ] } From b25c1cd4b4b542cca831424e84290dd4ea9928ca Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Sat, 20 Dec 2025 05:10:47 -0800 Subject: [PATCH 02/38] feat: migrated from zod v3 to v4 --- surfsense_web/app/api/contact/route.ts | 6 +- .../components/contact/contact-form.tsx | 4 +- surfsense_web/contracts/types/auth.types.ts | 2 +- .../contracts/types/search-space.types.ts | 2 +- surfsense_web/contracts/types/user.types.ts | 4 +- surfsense_web/lib/apis/auth-api.service.ts | 4 +- surfsense_web/lib/apis/base-api.service.ts | 14 +- surfsense_web/lib/apis/chats-api.service.ts | 12 +- .../lib/apis/documents-api.service.ts | 18 +- surfsense_web/lib/apis/invites-api.service.ts | 12 +- .../lib/apis/llm-config-api.service.ts | 14 +- surfsense_web/lib/apis/members-api.service.ts | 10 +- surfsense_web/lib/apis/notes-api.service.ts | 10 +- .../lib/apis/podcasts-api.service.ts | 10 +- surfsense_web/lib/apis/roles-api.service.ts | 10 +- .../lib/apis/search-spaces-api.service.ts | 10 +- surfsense_web/package.json | 16 +- surfsense_web/pnpm-lock.yaml | 426 ++++++++++-------- 18 files changed, 313 insertions(+), 271 deletions(-) diff --git a/surfsense_web/app/api/contact/route.ts b/surfsense_web/app/api/contact/route.ts index 0af47dfe3..6ca16ca9d 100644 --- a/surfsense_web/app/api/contact/route.ts +++ b/surfsense_web/app/api/contact/route.ts @@ -6,9 +6,9 @@ import { usersTable } from "@/app/db/schema"; // Define validation schema matching the database schema const contactSchema = z.object({ name: z.string().min(1, "Name is required").max(255, "Name is too long"), - email: z.string().email("Invalid email address").max(255, "Email is too long"), + email: z.email("Invalid email address").max(255, "Email is too long"), company: z.string().min(1, "Company is required").max(255, "Company name is too long"), - message: z.string().optional().default(""), + message: z.string().optional().prefault(""), }); export async function POST(request: NextRequest) { @@ -43,7 +43,7 @@ export async function POST(request: NextRequest) { { success: false, message: "Validation error", - errors: error.errors, + errors: error.issues, }, { status: 400 } ); diff --git a/surfsense_web/components/contact/contact-form.tsx b/surfsense_web/components/contact/contact-form.tsx index 435ff1365..368f40c4b 100644 --- a/surfsense_web/components/contact/contact-form.tsx +++ b/surfsense_web/components/contact/contact-form.tsx @@ -14,9 +14,9 @@ import { cn } from "@/lib/utils"; // Define validation schema matching the database schema const contactFormSchema = z.object({ name: z.string().min(1, "Name is required").max(255, "Name is too long"), - email: z.string().email("Invalid email address").max(255, "Email is too long"), + email: z.email("Invalid email address").max(255, "Email is too long"), company: z.string().min(1, "Company is required").max(255, "Company name is too long"), - message: z.string().optional().default(""), + message: z.string().optional().prefault(""), }); type ContactFormData = z.infer; diff --git a/surfsense_web/contracts/types/auth.types.ts b/surfsense_web/contracts/types/auth.types.ts index 62c128886..29a296c11 100644 --- a/surfsense_web/contracts/types/auth.types.ts +++ b/surfsense_web/contracts/types/auth.types.ts @@ -12,7 +12,7 @@ export const loginResponse = z.object({ }); export const registerRequest = loginRequest.omit({ grant_type: true, username: true }).extend({ - email: z.string().email("Invalid email address"), + email: z.email("Invalid email address"), is_active: z.boolean().optional(), is_superuser: z.boolean().optional(), is_verified: z.boolean().optional(), diff --git a/surfsense_web/contracts/types/search-space.types.ts b/surfsense_web/contracts/types/search-space.types.ts index b591fafbb..298e21d47 100644 --- a/surfsense_web/contracts/types/search-space.types.ts +++ b/surfsense_web/contracts/types/search-space.types.ts @@ -30,7 +30,7 @@ export const getSearchSpacesResponse = z.array(searchSpace); * Create search space */ export const createSearchSpaceRequest = searchSpace.pick({ name: true, description: true }).extend({ - citations_enabled: z.boolean().default(true).optional(), + citations_enabled: z.boolean().prefault(true).optional(), qna_custom_instructions: z.string().nullable().optional(), }); diff --git a/surfsense_web/contracts/types/user.types.ts b/surfsense_web/contracts/types/user.types.ts index f5df17694..f2d1f0ffc 100644 --- a/surfsense_web/contracts/types/user.types.ts +++ b/surfsense_web/contracts/types/user.types.ts @@ -1,8 +1,8 @@ import { z } from "zod"; export const user = z.object({ - id: z.string().uuid(), - email: z.string().email(), + id: z.uuid(), + email: z.email(), is_active: z.boolean(), is_superuser: z.boolean(), is_verified: z.boolean(), diff --git a/surfsense_web/lib/apis/auth-api.service.ts b/surfsense_web/lib/apis/auth-api.service.ts index df7d64721..e213c77aa 100644 --- a/surfsense_web/lib/apis/auth-api.service.ts +++ b/surfsense_web/lib/apis/auth-api.service.ts @@ -18,7 +18,7 @@ class AuthApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -44,7 +44,7 @@ class AuthApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/lib/apis/base-api.service.ts b/surfsense_web/lib/apis/base-api.service.ts index e84e43be2..0f3c17d4e 100644 --- a/surfsense_web/lib/apis/base-api.service.ts +++ b/surfsense_web/lib/apis/base-api.service.ts @@ -1,4 +1,4 @@ -import type z from "zod"; +import type { ZodType } from "zod"; import { getBearerToken, handleUnauthorized } from "../auth-utils"; import { AppError, AuthenticationError, AuthorizationError, NotFoundError } from "../error"; @@ -37,7 +37,7 @@ class BaseApiService { async request( url: string, - responseSchema?: z.ZodSchema, + responseSchema?: ZodType, options?: RequestOptions & { responseType?: R } ): Promise< R extends ResponseType.JSON @@ -206,7 +206,7 @@ class BaseApiService { async get( url: string, - responseSchema?: z.ZodSchema, + responseSchema?: ZodType, options?: Omit ) { return this.request(url, responseSchema, { @@ -221,7 +221,7 @@ class BaseApiService { async post( url: string, - responseSchema?: z.ZodSchema, + responseSchema?: ZodType, options?: Omit ) { return this.request(url, responseSchema, { @@ -236,7 +236,7 @@ class BaseApiService { async put( url: string, - responseSchema?: z.ZodSchema, + responseSchema?: ZodType, options?: Omit ) { return this.request(url, responseSchema, { @@ -251,7 +251,7 @@ class BaseApiService { async delete( url: string, - responseSchema?: z.ZodSchema, + responseSchema?: ZodType, options?: Omit ) { return this.request(url, responseSchema, { @@ -274,7 +274,7 @@ class BaseApiService { async postFormData( url: string, - responseSchema?: z.ZodSchema, + responseSchema?: ZodType, options?: Omit & { body: FormData } ) { // Remove Content-Type from options headers if present diff --git a/surfsense_web/lib/apis/chats-api.service.ts b/surfsense_web/lib/apis/chats-api.service.ts index 58cad48b0..2ca253ea7 100644 --- a/surfsense_web/lib/apis/chats-api.service.ts +++ b/surfsense_web/lib/apis/chats-api.service.ts @@ -28,7 +28,7 @@ class ChatApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -43,7 +43,7 @@ class ChatApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -69,7 +69,7 @@ class ChatApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -91,7 +91,7 @@ class ChatApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -106,7 +106,7 @@ class ChatApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -128,7 +128,7 @@ class ChatApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/lib/apis/documents-api.service.ts b/surfsense_web/lib/apis/documents-api.service.ts index 5a82da439..cf7a4b778 100644 --- a/surfsense_web/lib/apis/documents-api.service.ts +++ b/surfsense_web/lib/apis/documents-api.service.ts @@ -40,7 +40,7 @@ class DocumentsApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -73,7 +73,7 @@ class DocumentsApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -89,7 +89,7 @@ class DocumentsApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -107,7 +107,7 @@ class DocumentsApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -132,7 +132,7 @@ class DocumentsApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -167,7 +167,7 @@ class DocumentsApiService { console.error("Invalid request:", parsedRequest.error); // Format a user friendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -199,7 +199,7 @@ class DocumentsApiService { console.error("Invalid request:", parsedRequest.error); // Format a user friendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -220,7 +220,7 @@ class DocumentsApiService { console.error("Invalid request:", parsedRequest.error); // Format a user friendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -242,7 +242,7 @@ class DocumentsApiService { console.error("Invalid request:", parsedRequest.error); // Format a user friendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/lib/apis/invites-api.service.ts b/surfsense_web/lib/apis/invites-api.service.ts index b5954e5f6..9e3817db4 100644 --- a/surfsense_web/lib/apis/invites-api.service.ts +++ b/surfsense_web/lib/apis/invites-api.service.ts @@ -37,7 +37,7 @@ class InvitesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -59,7 +59,7 @@ class InvitesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -78,7 +78,7 @@ class InvitesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -100,7 +100,7 @@ class InvitesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -119,7 +119,7 @@ class InvitesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -138,7 +138,7 @@ class InvitesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/lib/apis/llm-config-api.service.ts b/surfsense_web/lib/apis/llm-config-api.service.ts index 69f9eac9a..e0f3538f2 100644 --- a/surfsense_web/lib/apis/llm-config-api.service.ts +++ b/surfsense_web/lib/apis/llm-config-api.service.ts @@ -42,7 +42,7 @@ class LLMConfigApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -60,7 +60,7 @@ class LLMConfigApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -89,7 +89,7 @@ class LLMConfigApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -105,7 +105,7 @@ class LLMConfigApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -125,7 +125,7 @@ class LLMConfigApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -141,7 +141,7 @@ class LLMConfigApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -160,7 +160,7 @@ class LLMConfigApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/lib/apis/members-api.service.ts b/surfsense_web/lib/apis/members-api.service.ts index 1dc39ad3b..c0397f0e6 100644 --- a/surfsense_web/lib/apis/members-api.service.ts +++ b/surfsense_web/lib/apis/members-api.service.ts @@ -33,7 +33,7 @@ class MembersApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -52,7 +52,7 @@ class MembersApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -74,7 +74,7 @@ class MembersApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -93,7 +93,7 @@ class MembersApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -112,7 +112,7 @@ class MembersApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/lib/apis/notes-api.service.ts b/surfsense_web/lib/apis/notes-api.service.ts index 5e8ab8a96..caef9e1a5 100644 --- a/surfsense_web/lib/apis/notes-api.service.ts +++ b/surfsense_web/lib/apis/notes-api.service.ts @@ -16,7 +16,7 @@ const createNoteResponse = z.object({ content: z.string(), content_hash: z.string(), unique_identifier_hash: z.string().nullable(), - document_metadata: z.record(z.any()).nullable(), + document_metadata: z.record(z.string(), z.any()).nullable(), search_space_id: z.number(), created_at: z.string(), updated_at: z.string().nullable(), @@ -36,7 +36,7 @@ const noteItem = z.object({ content: z.string(), content_hash: z.string(), unique_identifier_hash: z.string().nullable(), - document_metadata: z.record(z.any()).nullable(), + document_metadata: z.record(z.string(), z.any()).nullable(), search_space_id: z.number(), created_at: z.string(), updated_at: z.string().nullable(), @@ -78,7 +78,7 @@ class NotesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -105,7 +105,7 @@ class NotesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -131,7 +131,7 @@ class NotesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/lib/apis/podcasts-api.service.ts b/surfsense_web/lib/apis/podcasts-api.service.ts index 733499a40..346c984af 100644 --- a/surfsense_web/lib/apis/podcasts-api.service.ts +++ b/surfsense_web/lib/apis/podcasts-api.service.ts @@ -26,7 +26,7 @@ class PodcastsApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -52,7 +52,7 @@ class PodcastsApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -70,7 +70,7 @@ class PodcastsApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -93,7 +93,7 @@ class PodcastsApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -110,7 +110,7 @@ class PodcastsApiService { console.error("Invalid request:", parsedRequest.error); // Format a user frendly error message - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/lib/apis/roles-api.service.ts b/surfsense_web/lib/apis/roles-api.service.ts index 1a574ee4b..10023799b 100644 --- a/surfsense_web/lib/apis/roles-api.service.ts +++ b/surfsense_web/lib/apis/roles-api.service.ts @@ -25,7 +25,7 @@ class RolesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -44,7 +44,7 @@ class RolesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -60,7 +60,7 @@ class RolesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -76,7 +76,7 @@ class RolesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -95,7 +95,7 @@ class RolesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/lib/apis/search-spaces-api.service.ts b/surfsense_web/lib/apis/search-spaces-api.service.ts index 23433faee..b19e4ecb2 100644 --- a/surfsense_web/lib/apis/search-spaces-api.service.ts +++ b/surfsense_web/lib/apis/search-spaces-api.service.ts @@ -29,7 +29,7 @@ class SearchSpacesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -58,7 +58,7 @@ class SearchSpacesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -86,7 +86,7 @@ class SearchSpacesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -102,7 +102,7 @@ class SearchSpacesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } @@ -120,7 +120,7 @@ class SearchSpacesApiService { if (!parsedRequest.success) { console.error("Invalid request:", parsedRequest.error); - const errorMessage = parsedRequest.error.errors.map((err) => err.message).join(", "); + const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); throw new ValidationError(`Invalid request: ${errorMessage}`); } diff --git a/surfsense_web/package.json b/surfsense_web/package.json index 9575b205e..25f2fb9ee 100644 --- a/surfsense_web/package.json +++ b/surfsense_web/package.json @@ -22,20 +22,20 @@ }, "dependencies": { "@ai-sdk/react": "^1.2.12", - "@blocknote/core": "^0.42.3", - "@blocknote/mantine": "^0.42.3", - "@blocknote/react": "^0.42.3", - "@blocknote/server-util": "^0.42.3", - "@hookform/resolvers": "^4.1.3", + "@blocknote/core": "^0.45.0", + "@blocknote/mantine": "^0.45.0", + "@blocknote/react": "^0.45.0", + "@blocknote/server-util": "^0.45.0", + "@hookform/resolvers": "^5.2.2", "@llamaindex/chat-ui": "^0.5.17", - "@next/third-parties": "^15.5.9", + "@next/third-parties": "^16.1.0", "@number-flow/react": "^0.5.10", "@radix-ui/react-accordion": "^1.2.11", "@radix-ui/react-alert-dialog": "^1.1.14", "@radix-ui/react-avatar": "^1.1.10", "@radix-ui/react-checkbox": "^1.3.2", "@radix-ui/react-collapsible": "^1.1.11", - "@radix-ui/react-dialog": "^1.1.14", + "@radix-ui/react-dialog": "^1.1.15", "@radix-ui/react-dropdown-menu": "^2.1.15", "@radix-ui/react-label": "^2.1.7", "@radix-ui/react-popover": "^1.1.14", @@ -87,7 +87,7 @@ "react-json-view": "^1.21.3", "react-json-view-lite": "^2.4.1", "react-markdown": "^10.1.0", - "react-rough-notation": "^1.0.5", + "react-rough-notation": "^1.0.8", "react-syntax-highlighter": "^15.6.1", "react-wrap-balancer": "^1.1.1", "rehype-raw": "^7.0.0", diff --git a/surfsense_web/pnpm-lock.yaml b/surfsense_web/pnpm-lock.yaml index e0d350275..8b8116887 100644 --- a/surfsense_web/pnpm-lock.yaml +++ b/surfsense_web/pnpm-lock.yaml @@ -12,26 +12,26 @@ importers: specifier: ^1.2.12 version: 1.2.12(react@19.2.3)(zod@4.2.1) '@blocknote/core': - specifier: ^0.42.3 - version: 0.42.3(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(highlight.js@11.11.1) + specifier: ^0.45.0 + version: 0.45.0(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(highlight.js@11.11.1) '@blocknote/mantine': - specifier: ^0.42.3 - version: 0.42.3(@floating-ui/dom@1.7.4)(@mantine/core@8.3.9(@mantine/hooks@8.3.9(react@19.2.3))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(@mantine/hooks@8.3.9(react@19.2.3))(@mantine/utils@6.0.22(react@19.2.3))(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + specifier: ^0.45.0 + version: 0.45.0(@floating-ui/dom@1.7.4)(@mantine/core@8.3.9(@mantine/hooks@8.3.9(react@19.2.3))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(@mantine/hooks@8.3.9(react@19.2.3))(@mantine/utils@6.0.22(react@19.2.3))(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@blocknote/react': - specifier: ^0.42.3 - version: 0.42.3(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + specifier: ^0.45.0 + version: 0.45.0(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@blocknote/server-util': - specifier: ^0.42.3 - version: 0.42.3(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.3)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + specifier: ^0.45.0 + version: 0.45.0(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@hookform/resolvers': - specifier: ^4.1.3 - version: 4.1.3(react-hook-form@7.61.1(react@19.2.3)) + specifier: ^5.2.2 + version: 5.2.2(react-hook-form@7.61.1(react@19.2.3)) '@llamaindex/chat-ui': specifier: ^0.5.17 version: 0.5.17(@babel/runtime@7.26.9)(@codemirror/autocomplete@6.18.6)(@codemirror/language@6.11.2)(@codemirror/lint@6.8.5)(@codemirror/search@6.5.11)(@codemirror/state@6.5.2)(@codemirror/theme-one-dark@6.1.3)(@codemirror/view@6.38.1)(@lezer/highlight@1.2.1)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(codemirror@6.0.2)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(yjs@13.6.27) '@next/third-parties': - specifier: ^15.5.9 - version: 15.5.9(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3) + specifier: ^16.1.0 + version: 16.1.0(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3) '@number-flow/react': specifier: ^0.5.10 version: 0.5.10(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -51,8 +51,8 @@ importers: specifier: ^1.1.11 version: 1.1.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-dialog': - specifier: ^1.1.14 - version: 1.1.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + specifier: ^1.1.15 + version: 1.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-dropdown-menu': specifier: ^2.1.15 version: 2.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -207,8 +207,8 @@ importers: specifier: ^10.1.0 version: 10.1.0(@types/react@19.1.8)(react@19.2.3) react-rough-notation: - specifier: ^1.0.5 - version: 1.0.5(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + specifier: ^1.0.8 + version: 1.0.8(react-dom@19.2.3(react@19.2.3))(react@19.2.3) react-syntax-highlighter: specifier: ^15.6.1 version: 15.6.1(react@19.2.3) @@ -385,16 +385,16 @@ packages: cpu: [x64] os: [win32] - '@blocknote/core@0.42.3': - resolution: {integrity: sha512-wtZki6Gok5Ac9Ek6QTQztcDymstEQgVCisJwiUZTWXh8CD4UKfnIxM7C9+6eEnZMmQ8GNTvRf1HXFl+E4N78VA==} + '@blocknote/core@0.45.0': + resolution: {integrity: sha512-G8Bt9gFCAGMxcZpmrcCwcbdgZLjllME2nagsWOAhFtDxEr4zKpetKgpyM0pEdTbPnMFXYuDzcIue64N6FDSDJg==} peerDependencies: - '@hocuspocus/provider': ^2.15.2 + '@hocuspocus/provider': ^2.15.2 || ^3.0.0 peerDependenciesMeta: '@hocuspocus/provider': optional: true - '@blocknote/mantine@0.42.3': - resolution: {integrity: sha512-xzLweZG1KfFoOp/aSHTXE10IrfEHnhDlP0C2Qt2eNO2IHHa7l8XZJpIGhCoVMsn0yylm91OSynNfTO7JkZZi8w==} + '@blocknote/mantine@0.45.0': + resolution: {integrity: sha512-WNNhrkV7b+qOY0TnKN9Qqb1Zp0BJoz+jVQT6pW2RAyTVDq/vclevfPmLvnBwrtc5ZwL+q78+/srMfyi/nwG4NQ==} peerDependencies: '@mantine/core': ^8.3.4 '@mantine/hooks': ^8.3.4 @@ -402,14 +402,14 @@ packages: react: ^18.0 || ^19.0 || >= 19.0.0-rc react-dom: ^18.0 || ^19.0 || >= 19.0.0-rc - '@blocknote/react@0.42.3': - resolution: {integrity: sha512-YnrQ1uyezDbaxYcFstWOJ2r8BMxqwwEc7QAhrEjCMEyBAiOxSCPnrM4/GE2mOgCS0Xa9wIp2LDoPQP2Syv+2EA==} + '@blocknote/react@0.45.0': + resolution: {integrity: sha512-71Epu3xfqYHJx1rxdnV8//WCDAXg694/q7KzeRYivtJ/rw1OpW8B6Ngavk3i6m1OwtGLGlrRwW1A7nwm/x972Q==} peerDependencies: react: ^18.0 || ^19.0 || >= 19.0.0-rc react-dom: ^18.0 || ^19.0 || >= 19.0.0-rc - '@blocknote/server-util@0.42.3': - resolution: {integrity: sha512-M+jtKeC2aHOYBp6GQ0YR19iv0/0f1HElrrnKwlaSPbwR6bw6tg+yb3yQkaJJioLTpd2X2Z/RwcEvxSJGnlZ81w==} + '@blocknote/server-util@0.45.0': + resolution: {integrity: sha512-Wa3LGM12qhCPrzora9Mhy92SXkBs+JZfrtvubP9Cok7FDyOUW+d3myho3FoWwOwazcFOYQgfTWl2eIVRuBoPrw==} peerDependencies: react: ^18.0 || ^19.0 || >= 19.0.0-rc react-dom: ^18.0 || ^19.0 || >= 19.0.0-rc @@ -1140,10 +1140,17 @@ packages: tailwindcss: optional: true - '@hookform/resolvers@4.1.3': - resolution: {integrity: sha512-Jsv6UOWYTrEFJ/01ZrnwVXs7KDvP8XIo115i++5PWvNkNvkrsTfGiLS6w+eJ57CYtUtDQalUWovCZDHFJ8u1VQ==} + '@handlewithcare/prosemirror-inputrules@0.1.3': + resolution: {integrity: sha512-LjGitwgSFHICeU6Mfbt+0Bp4BuWyvHfDYJIf7rq1qdNO88tFcWV3CSqw75o/YbsnUObDgp5Dn+gXIQLRwiyCbg==} peerDependencies: - react-hook-form: ^7.0.0 + prosemirror-model: ^1.0.0 + prosemirror-state: ^1.0.0 + prosemirror-view: ^1.0.0 + + '@hookform/resolvers@5.2.2': + resolution: {integrity: sha512-A/IxlMLShx3KjV/HeTcTfaMxdwy690+L/ZADoeaTltLx+CVuzkeVIPuybK3jrRfw7YZnmdKsVVHAlEPIAEUNlA==} + peerDependencies: + react-hook-form: ^7.55.0 '@humanfs/core@0.19.1': resolution: {integrity: sha512-5DyQ4+1JEUzejeK1JGICcideyfUbGixgS9jNgex5nqkW+cY7WZhxBigmieN5Qnw9ZosSNVC9KQKyb+GUaGyKUA==} @@ -1555,10 +1562,10 @@ packages: cpu: [x64] os: [win32] - '@next/third-parties@15.5.9': - resolution: {integrity: sha512-kX8u/o+NMUwib5Rn+J9zhx47wZZzgxW3Q/OTuqG4gcZS80jARZCU/9bQ5hGL6V9XGDWZiR/Lycs7Dg8Y+xOfCw==} + '@next/third-parties@16.1.0': + resolution: {integrity: sha512-VxD1UxwXNgCnDDBW+oinysZORkzir2B/MvCYF8S02r78VnGr37cbkMlM0LESrE9Nc/qlo2bLBgvpvnyOy4vleg==} peerDependencies: - next: ^13.0.0 || ^14.0.0 || ^15.0.0 + next: ^13.0.0 || ^14.0.0 || ^15.0.0 || ^16.0.0-beta.0 react: ^18.2.0 || 19.0.0-rc-de68d2f4-20241204 || ^19.0.0 '@nodelib/fs.scandir@2.1.5': @@ -2758,9 +2765,6 @@ packages: '@shikijs/transformers@3.20.0': resolution: {integrity: 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0.13.0(@shikijs/types@3.13.0)(@types/hast@3.0.4)(highlight.js@11.11.1)(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-transform@1.10.5)(prosemirror-view@1.41.3) + prosemirror-highlight: 0.13.0(@shikijs/types@3.20.0)(@types/hast@3.0.4)(highlight.js@11.11.1)(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-transform@1.10.5)(prosemirror-view@1.41.4) prosemirror-model: 1.25.4 prosemirror-state: 1.4.4 - prosemirror-tables: 1.8.1 + prosemirror-tables: 1.8.3 prosemirror-transform: 1.10.5 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 rehype-format: 5.0.1 rehype-parse: 9.0.1 rehype-remark: 10.0.1 @@ -6857,7 +6878,7 @@ snapshots: unified: 11.0.5 unist-util-visit: 5.0.0 uuid: 8.3.2 - y-prosemirror: 1.3.7(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.3)(y-protocols@1.0.6(yjs@13.6.27))(yjs@13.6.27) + y-prosemirror: 1.3.7(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4)(y-protocols@1.0.6(yjs@13.6.27))(yjs@13.6.27) y-protocols: 1.0.6(yjs@13.6.27) yjs: 13.6.27 transitivePeerDependencies: @@ -6869,10 +6890,10 @@ snapshots: - sugar-high - supports-color - '@blocknote/mantine@0.42.3(@floating-ui/dom@1.7.4)(@mantine/core@8.3.9(@mantine/hooks@8.3.9(react@19.2.3))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(@mantine/hooks@8.3.9(react@19.2.3))(@mantine/utils@6.0.22(react@19.2.3))(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + '@blocknote/mantine@0.45.0(@floating-ui/dom@1.7.4)(@mantine/core@8.3.9(@mantine/hooks@8.3.9(react@19.2.3))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(@mantine/hooks@8.3.9(react@19.2.3))(@mantine/utils@6.0.22(react@19.2.3))(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: - '@blocknote/core': 0.42.3(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(highlight.js@11.11.1) - '@blocknote/react': 0.42.3(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@blocknote/core': 0.45.0(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(highlight.js@11.11.1) + '@blocknote/react': 0.45.0(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@mantine/core': 8.3.9(@mantine/hooks@8.3.9(react@19.2.3))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@mantine/hooks': 8.3.9(react@19.2.3) '@mantine/utils': 6.0.22(react@19.2.3) @@ -6892,19 +6913,24 @@ snapshots: - sugar-high - supports-color - '@blocknote/react@0.42.3(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + '@blocknote/react@0.45.0(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: - '@blocknote/core': 0.42.3(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(highlight.js@11.11.1) + '@blocknote/core': 0.45.0(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(highlight.js@11.11.1) '@emoji-mart/data': 1.2.1 '@floating-ui/react': 0.27.16(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) - '@tiptap/pm': 3.11.0 - '@tiptap/react': 3.11.0(@floating-ui/dom@1.7.4)(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@floating-ui/utils': 0.2.10 + '@tanstack/react-store': 0.7.7(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) + '@tiptap/pm': 3.14.0 + '@tiptap/react': 3.14.0(@floating-ui/dom@1.7.4)(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@types/use-sync-external-store': 1.5.0 emoji-mart: 5.6.0 + fast-deep-equal: 3.1.3 lodash.merge: 4.6.2 react: 19.2.3 react-dom: 19.2.3(react@19.2.3) react-icons: 5.5.0(react@19.2.3) + use-sync-external-store: 1.6.0(react@19.2.3) transitivePeerDependencies: - '@floating-ui/dom' - '@hocuspocus/provider' @@ -6918,16 +6944,16 @@ snapshots: - sugar-high - supports-color - '@blocknote/server-util@0.42.3(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.3)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + '@blocknote/server-util@0.45.0(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: - '@blocknote/core': 0.42.3(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(highlight.js@11.11.1) - '@blocknote/react': 0.42.3(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) - '@tiptap/pm': 3.11.0 + '@blocknote/core': 0.45.0(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(highlight.js@11.11.1) + '@blocknote/react': 0.45.0(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) + '@tiptap/pm': 3.14.0 jsdom: 25.0.1 react: 19.2.3 react-dom: 19.2.3(react@19.2.3) - y-prosemirror: 1.3.7(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.3)(y-protocols@1.0.6(yjs@13.6.27))(yjs@13.6.27) + y-prosemirror: 1.3.7(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4)(y-protocols@1.0.6(yjs@13.6.27))(yjs@13.6.27) y-protocols: 1.0.6(yjs@13.6.27) yjs: 13.6.27 transitivePeerDependencies: @@ -7671,7 +7697,15 @@ snapshots: - waku - zod - '@hookform/resolvers@4.1.3(react-hook-form@7.61.1(react@19.2.3))': + '@handlewithcare/prosemirror-inputrules@0.1.3(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4)': + dependencies: + prosemirror-history: 1.5.0 + prosemirror-model: 1.25.4 + prosemirror-state: 1.4.4 + prosemirror-transform: 1.10.5 + prosemirror-view: 1.41.4 + + '@hookform/resolvers@5.2.2(react-hook-form@7.61.1(react@19.2.3))': dependencies: '@standard-schema/utils': 0.3.0 react-hook-form: 7.61.1(react@19.2.3) @@ -8190,7 +8224,7 @@ snapshots: '@lexical/utils': 0.32.1 '@mdxeditor/gurx': 1.2.3(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/colors': 3.0.0 - '@radix-ui/react-dialog': 1.1.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-dialog': 1.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-icons': 1.3.2(react@19.2.3) '@radix-ui/react-popover': 1.1.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-popper': 1.2.4(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -8271,7 +8305,7 @@ snapshots: '@next/swc-win32-x64-msvc@16.1.0': optional: true - '@next/third-parties@15.5.9(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3)': + '@next/third-parties@16.1.0(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3)': dependencies: next: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) react: 19.2.3 @@ -9550,11 +9584,6 @@ snapshots: '@shikijs/core': 3.20.0 '@shikijs/types': 3.20.0 - '@shikijs/types@3.13.0': - dependencies: - '@shikijs/vscode-textmate': 10.0.2 - '@types/hast': 3.0.4 - '@shikijs/types@3.20.0': dependencies: '@shikijs/vscode-textmate': 10.0.2 @@ -9726,85 +9755,90 @@ snapshots: '@tanstack/query-core': 5.90.7 react: 19.2.3 + '@tanstack/react-store@0.7.7(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + dependencies: + '@tanstack/store': 0.7.7 + react: 19.2.3 + react-dom: 19.2.3(react@19.2.3) + use-sync-external-store: 1.6.0(react@19.2.3) + '@tanstack/react-table@8.21.3(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@tanstack/table-core': 8.21.3 react: 19.2.3 react-dom: 19.2.3(react@19.2.3) + '@tanstack/store@0.7.7': {} + '@tanstack/table-core@8.21.3': {} - '@tiptap/core@3.11.0(@tiptap/pm@3.11.0)': + '@tiptap/core@3.14.0(@tiptap/pm@3.14.0)': dependencies: - '@tiptap/pm': 3.11.0 + '@tiptap/pm': 3.14.0 - '@tiptap/extension-bold@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))': + '@tiptap/extension-bold@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) - '@tiptap/extension-bubble-menu@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0)': + '@tiptap/extension-bubble-menu@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0)': dependencies: '@floating-ui/dom': 1.7.4 - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) - '@tiptap/pm': 3.11.0 + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) + '@tiptap/pm': 3.14.0 optional: true - '@tiptap/extension-code@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))': + '@tiptap/extension-code@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) - '@tiptap/extension-floating-menu@3.11.0(@floating-ui/dom@1.7.4)(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0)': + '@tiptap/extension-floating-menu@3.14.0(@floating-ui/dom@1.7.4)(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0)': dependencies: '@floating-ui/dom': 1.7.4 - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) - '@tiptap/pm': 3.11.0 + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) + '@tiptap/pm': 3.14.0 optional: true - '@tiptap/extension-gapcursor@3.11.0(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))': + '@tiptap/extension-gapcursor@3.11.0(@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))': dependencies: - '@tiptap/extensions': 3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0) + '@tiptap/extensions': 3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0) - '@tiptap/extension-history@3.11.0(@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0))': + '@tiptap/extension-horizontal-rule@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0)': dependencies: - '@tiptap/extensions': 3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0) + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) + '@tiptap/pm': 3.14.0 - '@tiptap/extension-horizontal-rule@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0)': + '@tiptap/extension-italic@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) - '@tiptap/pm': 3.11.0 + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) - '@tiptap/extension-italic@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))': + '@tiptap/extension-link@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0)': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) - - '@tiptap/extension-link@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0)': - dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) - '@tiptap/pm': 3.11.0 + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) + '@tiptap/pm': 3.14.0 linkifyjs: 4.3.2 - '@tiptap/extension-paragraph@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))': + '@tiptap/extension-paragraph@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) - '@tiptap/extension-strike@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))': + '@tiptap/extension-strike@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) - '@tiptap/extension-text@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))': + '@tiptap/extension-text@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) - '@tiptap/extension-underline@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))': + '@tiptap/extension-underline@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) - '@tiptap/extensions@3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0)': + '@tiptap/extensions@3.11.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0)': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) - '@tiptap/pm': 3.11.0 + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) + '@tiptap/pm': 3.14.0 - '@tiptap/pm@3.11.0': + '@tiptap/pm@3.14.0': dependencies: prosemirror-changeset: 2.3.1 prosemirror-collab: 1.3.1 @@ -9820,25 +9854,25 @@ snapshots: prosemirror-schema-basic: 1.2.4 prosemirror-schema-list: 1.5.1 prosemirror-state: 1.4.4 - prosemirror-tables: 1.8.1 - prosemirror-trailing-node: 3.0.0(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.3) + prosemirror-tables: 1.8.3 + prosemirror-trailing-node: 3.0.0(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4) prosemirror-transform: 1.10.5 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 - '@tiptap/react@3.11.0(@floating-ui/dom@1.7.4)(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': + '@tiptap/react@3.14.0(@floating-ui/dom@1.7.4)(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0)(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: - '@tiptap/core': 3.11.0(@tiptap/pm@3.11.0) - '@tiptap/pm': 3.11.0 + '@tiptap/core': 3.14.0(@tiptap/pm@3.14.0) + '@tiptap/pm': 3.14.0 '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) '@types/use-sync-external-store': 0.0.6 - fast-deep-equal: 3.1.3 + fast-equals: 5.4.0 react: 19.2.3 react-dom: 19.2.3(react@19.2.3) - use-sync-external-store: 1.5.0(react@19.2.3) + use-sync-external-store: 1.6.0(react@19.2.3) optionalDependencies: - '@tiptap/extension-bubble-menu': 3.11.0(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0) - '@tiptap/extension-floating-menu': 3.11.0(@floating-ui/dom@1.7.4)(@tiptap/core@3.11.0(@tiptap/pm@3.11.0))(@tiptap/pm@3.11.0) + '@tiptap/extension-bubble-menu': 3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0) + '@tiptap/extension-floating-menu': 3.14.0(@floating-ui/dom@1.7.4)(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0) transitivePeerDependencies: - '@floating-ui/dom' @@ -9921,6 +9955,8 @@ snapshots: '@types/use-sync-external-store@0.0.6': {} + '@types/use-sync-external-store@1.5.0': {} + '@typescript-eslint/eslint-plugin@8.25.0(@typescript-eslint/parser@8.25.0(eslint@9.32.0(jiti@2.4.2))(typescript@5.8.3))(eslint@9.32.0(jiti@2.4.2))(typescript@5.8.3)': dependencies: '@eslint-community/regexpp': 4.12.1 @@ -10313,7 +10349,7 @@ snapshots: cmdk@1.1.1(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.2.3) - '@radix-ui/react-dialog': 1.1.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-dialog': 1.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) '@radix-ui/react-id': 1.1.1(@types/react@19.1.8)(react@19.2.3) '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) react: 19.2.3 @@ -11040,6 +11076,8 @@ snapshots: fast-deep-equal@3.1.3: {} + fast-equals@5.4.0: {} + fast-glob@3.3.1: dependencies: '@nodelib/fs.stat': 2.0.5 @@ -13202,30 +13240,30 @@ snapshots: dependencies: prosemirror-state: 1.4.4 prosemirror-transform: 1.10.5 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 prosemirror-gapcursor@1.4.0: dependencies: prosemirror-keymap: 1.2.3 prosemirror-model: 1.25.4 prosemirror-state: 1.4.4 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 - prosemirror-highlight@0.13.0(@shikijs/types@3.13.0)(@types/hast@3.0.4)(highlight.js@11.11.1)(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-transform@1.10.5)(prosemirror-view@1.41.3): + prosemirror-highlight@0.13.0(@shikijs/types@3.20.0)(@types/hast@3.0.4)(highlight.js@11.11.1)(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-transform@1.10.5)(prosemirror-view@1.41.4): optionalDependencies: - '@shikijs/types': 3.13.0 + '@shikijs/types': 3.20.0 '@types/hast': 3.0.4 highlight.js: 11.11.1 prosemirror-model: 1.25.4 prosemirror-state: 1.4.4 prosemirror-transform: 1.10.5 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 prosemirror-history@1.5.0: dependencies: prosemirror-state: 1.4.4 prosemirror-transform: 1.10.5 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 rope-sequence: 1.3.4 prosemirror-inputrules@1.5.1: @@ -13269,29 +13307,29 @@ snapshots: dependencies: prosemirror-model: 1.25.4 prosemirror-transform: 1.10.5 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 - prosemirror-tables@1.8.1: + prosemirror-tables@1.8.3: dependencies: prosemirror-keymap: 1.2.3 prosemirror-model: 1.25.4 prosemirror-state: 1.4.4 prosemirror-transform: 1.10.5 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 - prosemirror-trailing-node@3.0.0(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.3): + prosemirror-trailing-node@3.0.0(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4): dependencies: '@remirror/core-constants': 3.0.0 escape-string-regexp: 4.0.0 prosemirror-model: 1.25.4 prosemirror-state: 1.4.4 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 prosemirror-transform@1.10.5: dependencies: prosemirror-model: 1.25.4 - prosemirror-view@1.41.3: + prosemirror-view@1.41.4: dependencies: prosemirror-model: 1.25.4 prosemirror-state: 1.4.4 @@ -13514,7 +13552,7 @@ snapshots: optionalDependencies: '@types/react': 19.1.8 - react-rough-notation@1.0.5(react-dom@19.2.3(react@19.2.3))(react@19.2.3): + react-rough-notation@1.0.8(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: react: 19.2.3 react-dom: 19.2.3(react@19.2.3) @@ -14437,6 +14475,10 @@ snapshots: dependencies: react: 19.2.3 + use-sync-external-store@1.6.0(react@19.2.3): + dependencies: + react: 19.2.3 + util-deprecate@1.0.2: {} uuid@8.3.2: {} @@ -14450,7 +14492,7 @@ snapshots: vaul@0.9.9(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: - '@radix-ui/react-dialog': 1.1.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + '@radix-ui/react-dialog': 1.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) react: 19.2.3 react-dom: 19.2.3(react@19.2.3) transitivePeerDependencies: @@ -14585,12 +14627,12 @@ snapshots: xtend@4.0.2: {} - y-prosemirror@1.3.7(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.3)(y-protocols@1.0.6(yjs@13.6.27))(yjs@13.6.27): + y-prosemirror@1.3.7(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4)(y-protocols@1.0.6(yjs@13.6.27))(yjs@13.6.27): dependencies: lib0: 0.2.114 prosemirror-model: 1.25.4 prosemirror-state: 1.4.4 - prosemirror-view: 1.41.3 + prosemirror-view: 1.41.4 y-protocols: 1.0.6(yjs@13.6.27) yjs: 13.6.27 From 3bfe860d6f50528e9d23132936af52ea1718d7d3 Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Sat, 20 Dec 2025 05:14:31 -0800 Subject: [PATCH 03/38] chore: liniting --- .../components/homepage/integrations.tsx | 5 +- surfsense_web/lib/source.ts | 2 +- surfsense_web/source.config.ts | 2 +- surfsense_web/tsconfig.json | 76 ++++++++----------- 4 files changed, 39 insertions(+), 46 deletions(-) diff --git a/surfsense_web/components/homepage/integrations.tsx b/surfsense_web/components/homepage/integrations.tsx index a0ffd1d8c..53aaf624a 100644 --- a/surfsense_web/components/homepage/integrations.tsx +++ b/surfsense_web/components/homepage/integrations.tsx @@ -16,7 +16,10 @@ const INTEGRATIONS: Integration[] = [ { name: "Elasticsearch", icon: "https://cdn.simpleicons.org/elastic/00A9E5" }, // Communication - { name: "Slack", icon: "https://upload.wikimedia.org/wikipedia/commons/d/d5/Slack_icon_2019.svg" }, + { + name: "Slack", + icon: "https://upload.wikimedia.org/wikipedia/commons/d/d5/Slack_icon_2019.svg", + }, { name: "Discord", icon: "https://cdn.simpleicons.org/discord/5865F2" }, { name: "Gmail", icon: "https://cdn.simpleicons.org/gmail/EA4335" }, diff --git a/surfsense_web/lib/source.ts b/surfsense_web/lib/source.ts index 271ac5435..9d879b517 100644 --- a/surfsense_web/lib/source.ts +++ b/surfsense_web/lib/source.ts @@ -1,5 +1,5 @@ -import { docs } from "@/.source/server"; import { loader } from "fumadocs-core/source"; +import { docs } from "@/.source/server"; export const source = loader({ baseUrl: "/docs", diff --git a/surfsense_web/source.config.ts b/surfsense_web/source.config.ts index d8c0981d3..335435cfd 100644 --- a/surfsense_web/source.config.ts +++ b/surfsense_web/source.config.ts @@ -1,4 +1,4 @@ -import { defineDocs, defineConfig } from "fumadocs-mdx/config"; +import { defineConfig, defineDocs } from "fumadocs-mdx/config"; export const docs = defineDocs({ dir: "content/docs", diff --git a/surfsense_web/tsconfig.json b/surfsense_web/tsconfig.json index 1390f93ed..06c759b45 100644 --- a/surfsense_web/tsconfig.json +++ b/surfsense_web/tsconfig.json @@ -1,45 +1,35 @@ { - "compilerOptions": { - "target": "ES2017", - "lib": [ - "dom", - "dom.iterable", - "esnext" - ], - "allowJs": true, - "skipLibCheck": true, - "strict": true, - "noEmit": true, - "esModuleInterop": true, - "module": "esnext", - "moduleResolution": "bundler", - "resolveJsonModule": true, - "isolatedModules": true, - "jsx": "react-jsx", - "incremental": true, - "plugins": [ - { - "name": "next" - } - ], - "paths": { - "@/*": [ - "./*" - ], - "fumadocs-mdx:collections/*": [ - "./.source/*" - ] - } - }, - "include": [ - "next-env.d.ts", - "**/*.ts", - "**/*.tsx", - ".next/types/**/*.ts", - "next.config.mjs", - ".next/dev/types/**/*.ts" - ], - "exclude": [ - "node_modules" - ] + "compilerOptions": { + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./*"], + "fumadocs-mdx:collections/*": ["./.source/*"] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + "next.config.mjs", + ".next/dev/types/**/*.ts" + ], + "exclude": ["node_modules"] } From 3208f9bd7bba5962d0cf69b61fc3afbc2c0531ba Mon Sep 17 00:00:00 2001 From: CREDO23 Date: Fri, 19 Dec 2025 16:42:58 +0200 Subject: [PATCH 04/38] add new chat page --- surfsense_web/app/api/chat/route.ts | 74 + .../new-chat/[[...chat_id]]/page.tsx | 19 + .../components/assistant-ui/attachment.tsx | 216 + .../components/assistant-ui/markdown-text.tsx | 191 + .../components/assistant-ui/thread.tsx | 349 + .../components/assistant-ui/tool-fallback.tsx | 76 + .../assistant-ui/tooltip-icon-button.tsx | 36 + surfsense_web/package-lock.json | 33098 ++++++++++------ surfsense_web/package.json | 3 + surfsense_web/pnpm-lock.yaml | 14658 ------- 10 files changed, 22787 insertions(+), 25933 deletions(-) create mode 100644 surfsense_web/app/api/chat/route.ts create mode 100644 surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx create mode 100644 surfsense_web/components/assistant-ui/attachment.tsx create mode 100644 surfsense_web/components/assistant-ui/markdown-text.tsx create mode 100644 surfsense_web/components/assistant-ui/thread.tsx create mode 100644 surfsense_web/components/assistant-ui/tool-fallback.tsx create mode 100644 surfsense_web/components/assistant-ui/tooltip-icon-button.tsx diff --git a/surfsense_web/app/api/chat/route.ts b/surfsense_web/app/api/chat/route.ts new file mode 100644 index 000000000..1b8b602cb --- /dev/null +++ b/surfsense_web/app/api/chat/route.ts @@ -0,0 +1,74 @@ +import type { UIMessage } from "ai"; + +export const maxDuration = 30; + +export async function POST(req: Request) { + try { + const body = await req.json(); + const { + messages, + chat_id, + search_space_id, + }: { + messages: UIMessage[]; + chat_id?: number; + search_space_id?: number; + } = body; + + // Get auth token from headers + const authHeader = req.headers.get("authorization"); + if (!authHeader) { + return new Response("Unauthorized", { status: 401 }); + } + + // Get the last user message + const lastUserMessage = messages.filter((m) => m.role === "user").pop(); + + if (!lastUserMessage) { + return new Response("No user message found", { status: 400 }); + } + + // Extract text content from the message + const userQuery = + typeof lastUserMessage.content === "string" + ? lastUserMessage.content + : lastUserMessage.content + .filter((c: any) => c.type === "text") + .map((c: any) => c.text) + .join(" "); + + // Call the DeepAgent backend + const backendUrl = process.env.NEXT_PUBLIC_API_URL || "http://localhost:8000"; + const response = await fetch(`${backendUrl}/api/v1/new_chat`, { + method: "POST", + headers: { + "Content-Type": "application/json", + Authorization: authHeader, + }, + body: JSON.stringify({ + chat_id: chat_id || 0, + user_query: userQuery, + search_space_id: search_space_id || 0, + }), + }); + + if (!response.ok) { + return new Response(`Backend error: ${response.statusText}`, { + status: response.status, + }); + } + + // The backend returns SSE stream with Vercel AI SDK Data Stream Protocol + // We need to forward this stream to the client + return new Response(response.body, { + headers: { + "Content-Type": "text/event-stream", + "Cache-Control": "no-cache", + Connection: "keep-alive", + }, + }); + } catch (error) { + console.error("Error in deep-agent-chat route:", error); + return new Response("Internal Server Error", { status: 500 }); + } +} diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx new file mode 100644 index 000000000..bcaae2a10 --- /dev/null +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -0,0 +1,19 @@ +"use client"; + +import { AssistantRuntimeProvider } from "@assistant-ui/react"; +import { useChatRuntime } from "@assistant-ui/react-ai-sdk"; +import { Thread } from "@/components/assistant-ui/thread"; + +export default function NewChatPage() { + // Using the official assistant-ui pattern - useChatRuntime with NO parameters + // It defaults to /api/chat endpoint + const runtime = useChatRuntime(); + + return ( + +
+ +
+ + ); +} diff --git a/surfsense_web/components/assistant-ui/attachment.tsx b/surfsense_web/components/assistant-ui/attachment.tsx new file mode 100644 index 000000000..a51c13cb0 --- /dev/null +++ b/surfsense_web/components/assistant-ui/attachment.tsx @@ -0,0 +1,216 @@ +"use client"; + +import { + AttachmentPrimitive, + ComposerPrimitive, + MessagePrimitive, + useAssistantApi, + useAssistantState, +} from "@assistant-ui/react"; +import { FileText, PlusIcon, XIcon } from "lucide-react"; +import Image from "next/image"; +import { type FC, type PropsWithChildren, useEffect, useState } from "react"; +import { useShallow } from "zustand/shallow"; +import { TooltipIconButton } from "@/components/assistant-ui/tooltip-icon-button"; +import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar"; +import { Dialog, DialogContent, DialogTitle, DialogTrigger } from "@/components/ui/dialog"; +import { Tooltip, TooltipContent, TooltipTrigger } from "@/components/ui/tooltip"; +import { cn } from "@/lib/utils"; + +const useFileSrc = (file: File | undefined) => { + const [src, setSrc] = useState(undefined); + + useEffect(() => { + if (!file) { + setSrc(undefined); + return; + } + + const objectUrl = URL.createObjectURL(file); + setSrc(objectUrl); + + return () => { + URL.revokeObjectURL(objectUrl); + }; + }, [file]); + + return src; +}; + +const useAttachmentSrc = () => { + const { file, src } = useAssistantState( + useShallow(({ attachment }): { file?: File; src?: string } => { + if (attachment.type !== "image") return {}; + if (attachment.file) return { file: attachment.file }; + const src = attachment.content?.filter((c) => c.type === "image")[0]?.image; + if (!src) return {}; + return { src }; + }) + ); + + return useFileSrc(file) ?? src; +}; + +type AttachmentPreviewProps = { + src: string; +}; + +const AttachmentPreview: FC = ({ src }) => { + const [isLoaded, setIsLoaded] = useState(false); + return ( + Image Preview setIsLoaded(true)} + priority={false} + /> + ); +}; + +const AttachmentPreviewDialog: FC = ({ children }) => { + const src = useAttachmentSrc(); + + if (!src) return children; + + return ( + + + {children} + + + Image Attachment Preview +
+ +
+ + + ); +}; + +const AttachmentThumb: FC = () => { + const isImage = useAssistantState(({ attachment }) => attachment.type === "image"); + const src = useAttachmentSrc(); + + return ( + + + + + + + ); +}; + +const AttachmentUI: FC = () => { + const api = useAssistantApi(); + const isComposer = api.attachment.source === "composer"; + + const isImage = useAssistantState(({ attachment }) => attachment.type === "image"); + const typeLabel = useAssistantState(({ attachment }) => { + const type = attachment.type; + switch (type) { + case "image": + return "Image"; + case "document": + return "Document"; + case "file": + return "File"; + default: { + const _exhaustiveCheck: never = type; + throw new Error(`Unknown attachment type: ${_exhaustiveCheck}`); + } + } + }); + + return ( + + #attachment-tile]:size-24" + )} + > + + +
+ +
+ + + {isComposer && } + + + + + + ); +}; + +const AttachmentRemove: FC = () => { + return ( + + + + + + ); +}; + +export const UserMessageAttachments: FC = () => { + return ( +
+ +
+ ); +}; + +export const ComposerAttachments: FC = () => { + return ( +
+ +
+ ); +}; + +export const ComposerAddAttachment: FC = () => { + return ( + + + + + + ); +}; diff --git a/surfsense_web/components/assistant-ui/markdown-text.tsx b/surfsense_web/components/assistant-ui/markdown-text.tsx new file mode 100644 index 000000000..2513a0928 --- /dev/null +++ b/surfsense_web/components/assistant-ui/markdown-text.tsx @@ -0,0 +1,191 @@ +"use client"; + +import "@assistant-ui/react-markdown/styles/dot.css"; + +import { + type CodeHeaderProps, + MarkdownTextPrimitive, + unstable_memoizeMarkdownComponents as memoizeMarkdownComponents, + useIsMarkdownCodeBlock, +} from "@assistant-ui/react-markdown"; +import { CheckIcon, CopyIcon } from "lucide-react"; +import { type FC, memo, useState } from "react"; +import remarkGfm from "remark-gfm"; + +import { TooltipIconButton } from "@/components/assistant-ui/tooltip-icon-button"; +import { cn } from "@/lib/utils"; + +const MarkdownTextImpl = () => { + return ( + + ); +}; + +export const MarkdownText = memo(MarkdownTextImpl); + +const CodeHeader: FC = ({ language, code }) => { + const { isCopied, copyToClipboard } = useCopyToClipboard(); + const onCopy = () => { + if (!code || isCopied) return; + copyToClipboard(code); + }; + + return ( +
+ {language} + + {!isCopied && } + {isCopied && } + +
+ ); +}; + +const useCopyToClipboard = ({ copiedDuration = 3000 }: { copiedDuration?: number } = {}) => { + const [isCopied, setIsCopied] = useState(false); + + const copyToClipboard = (value: string) => { + if (!value) return; + + navigator.clipboard.writeText(value).then(() => { + setIsCopied(true); + setTimeout(() => setIsCopied(false), copiedDuration); + }); + }; + + return { isCopied, copyToClipboard }; +}; + +const defaultComponents = memoizeMarkdownComponents({ + h1: ({ className, ...props }) => ( +

+ ), + h2: ({ className, ...props }) => ( +

+ ), + h3: ({ className, ...props }) => ( +

+ ), + h4: ({ className, ...props }) => ( +

+ ), + h5: ({ className, ...props }) => ( +

+ ), + h6: ({ className, ...props }) => ( +
+ ), + p: ({ className, ...props }) => ( +

+ ), + a: ({ className, ...props }) => ( + + ), + blockquote: ({ className, ...props }) => ( +

+ ), + ul: ({ className, ...props }) => ( +
    li]:mt-2", className)} {...props} /> + ), + ol: ({ className, ...props }) => ( +
      li]:mt-2", className)} {...props} /> + ), + hr: ({ className, ...props }) => ( +
      + ), + table: ({ className, ...props }) => ( + + ), + th: ({ className, ...props }) => ( + td:first-child]:rounded-bl-lg [&:last-child>td:last-child]:rounded-br-lg", + className + )} + {...props} + /> + ), + sup: ({ className, ...props }) => ( + a]:text-xs [&>a]:no-underline", className)} {...props} /> + ), + pre: ({ className, ...props }) => ( + 
      +	),
+	code: function Code({ className, ...props }) {
+		const isCodeBlock = useIsMarkdownCodeBlock();
+		return (
+			
+		);
+	},
+	CodeHeader,
+});
diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx
new file mode 100644
index 000000000..26ee44872
--- /dev/null
+++ b/surfsense_web/components/assistant-ui/thread.tsx
@@ -0,0 +1,349 @@
+import {
+	ActionBarPrimitive,
+	AssistantIf,
+	BranchPickerPrimitive,
+	ComposerPrimitive,
+	ErrorPrimitive,
+	MessagePrimitive,
+	ThreadPrimitive,
+} from "@assistant-ui/react";
+import {
+	ArrowDownIcon,
+	ArrowUpIcon,
+	CheckIcon,
+	ChevronLeftIcon,
+	ChevronRightIcon,
+	CopyIcon,
+	DownloadIcon,
+	PencilIcon,
+	RefreshCwIcon,
+	SquareIcon,
+} from "lucide-react";
+import type { FC } from "react";
+import {
+	ComposerAddAttachment,
+	ComposerAttachments,
+	UserMessageAttachments,
+} from "@/components/assistant-ui/attachment";
+import { MarkdownText } from "@/components/assistant-ui/markdown-text";
+import { ToolFallback } from "@/components/assistant-ui/tool-fallback";
+import { TooltipIconButton } from "@/components/assistant-ui/tooltip-icon-button";
+import { Button } from "@/components/ui/button";
+import { cn } from "@/lib/utils";
+
+export const Thread: FC = () => {
+	return (
+		
+			
+				 thread.isEmpty}>
+					
+				
+
+				
+
+				
+					
+					
+				
+			
+		
+	);
+};
+
+const ThreadScrollToBottom: FC = () => {
+	return (
+		
+			
+				
+			
+		
+	);
+};
+
+const ThreadWelcome: FC = () => {
+	return (
+		
      
+			
      
+				
      
+					
      
+						Hello there!
+					
      
+					
      
+						How can I help you today?
+					
      
+				
      
+			
      
+			
+		
      
+	);
+};
+
+const SUGGESTIONS = [
+	{
+		title: "What's the weather",
+		label: "in San Francisco?",
+		prompt: "What's the weather in San Francisco?",
+	},
+	{
+		title: "Explain React hooks",
+		label: "like useState and useEffect",
+		prompt: "Explain React hooks like useState and useEffect",
+	},
+] as const;
+
+const ThreadSuggestions: FC = () => {
+	return (
+		
      
+			{SUGGESTIONS.map((suggestion, index) => (
+				
      
+					
+						
+					
+				
      
+			))}
+		
      
+	);
+};
+
+const Composer: FC = () => {
+	return (
+		
+			
+				
+				
+				
+			
+		
+	);
+};
+
+const ComposerAction: FC = () => {
+	return (
+		
      
+			
+
+			 !thread.isRunning}>
+				
+					
+						
+					
+				
+			
+
+			 thread.isRunning}>
+				
+					
+				
+			
+		
      
+	);
+};
+
+const MessageError: FC = () => {
+	return (
+		
+			
+				
+			
+		
+	);
+};
+
+const AssistantMessage: FC = () => {
+	return (
+		
+			
      
+				
+				
+			
      
+
+			
      
+				
+				
+			
      
+		      
+	);
+};
+
+const AssistantActionBar: FC = () => {
+	return (
+		
+			
+				
+					 message.isCopied}>
+						
+					
+					 !message.isCopied}>
+						
+					
+				
+			
+			
+				
+					
+				
+			
+			
+				
+					
+				
+			
+		
+	);
+};
+
+const UserMessage: FC = () => {
+	return (
+		
+			
+
+			
      
+				
      
+					
+				
      
+				
      
+					
+				
      
+			
      
+
+			
+		      
+	);
+};
+
+const UserActionBar: FC = () => {
+	return (
+		
+			
+				
+					
+				
+			
+		
+	);
+};
+
+const EditComposer: FC = () => {
+	return (
+		
+			
+				
+				
      
+					
+						
+					
+					
+						
+					
+				
      
+			      
+		      
+	);
+};
+
+const BranchPicker: FC = ({ className, ...rest }) => {
+	return (
+		
+			
+				
+					
+				
+			
+			
+				 / 
+			
+			
+				
+					
+				
+			
+		
+	);
+};
diff --git a/surfsense_web/components/assistant-ui/tool-fallback.tsx b/surfsense_web/components/assistant-ui/tool-fallback.tsx
new file mode 100644
index 000000000..636b43c36
--- /dev/null
+++ b/surfsense_web/components/assistant-ui/tool-fallback.tsx
@@ -0,0 +1,76 @@
+import type { ToolCallMessagePartComponent } from "@assistant-ui/react";
+import { CheckIcon, ChevronDownIcon, ChevronUpIcon, XCircleIcon } from "lucide-react";
+import { useState } from "react";
+import { Button } from "@/components/ui/button";
+import { cn } from "@/lib/utils";
+
+export const ToolFallback: ToolCallMessagePartComponent = ({
+	toolName,
+	argsText,
+	result,
+	status,
+}) => {
+	const [isCollapsed, setIsCollapsed] = useState(true);
+
+	const isCancelled = status?.type === "incomplete" && status.reason === "cancelled";
+	const cancelledReason =
+		isCancelled && status.error
+			? typeof status.error === "string"
+				? status.error
+				: JSON.stringify(status.error)
+			: null;
+
+	return (
+		
      
+			
      
+				{isCancelled ? (
+					
+				) : (
+					
+				)}
+				
      
+					{isCancelled ? "Cancelled tool: " : "Used tool: "}
+					{toolName}
+				
      
+				
+			
      
+			{!isCollapsed && (
+				
      
+					{cancelledReason && (
+						
      
+							
      
+								Cancelled reason:
+							
      
+							
      
+								{cancelledReason}
+							
      
+						
      
+					)}
+					
      
+						
      {argsText}
      
+					
      
+					{!isCancelled && result !== undefined && (
+						
      
+							
      Result:
      
+							
      +								{typeof result === "string" ? result : JSON.stringify(result, null, 2)}
+							
      
+						
      
+					)}
+				
      
+			)}
+		
      
+	);
+};
diff --git a/surfsense_web/components/assistant-ui/tooltip-icon-button.tsx b/surfsense_web/components/assistant-ui/tooltip-icon-button.tsx
new file mode 100644
index 000000000..154240cb4
--- /dev/null
+++ b/surfsense_web/components/assistant-ui/tooltip-icon-button.tsx
@@ -0,0 +1,36 @@
+"use client";
+
+import { Slottable } from "@radix-ui/react-slot";
+import { type ComponentPropsWithRef, forwardRef } from "react";
+import { Button } from "@/components/ui/button";
+import { Tooltip, TooltipContent, TooltipTrigger } from "@/components/ui/tooltip";
+import { cn } from "@/lib/utils";
+
+export type TooltipIconButtonProps = ComponentPropsWithRef & {
+	tooltip: string;
+	side?: "top" | "bottom" | "left" | "right";
+};
+
+export const TooltipIconButton = forwardRef(
+	({ children, tooltip, side = "bottom", className, ...rest }, ref) => {
+		return (
+			
+				
+					
+				
+				{tooltip}
+			
+		);
+	}
+);
+
+TooltipIconButton.displayName = "TooltipIconButton";
diff --git a/surfsense_web/package-lock.json b/surfsense_web/package-lock.json
index b69057594..713a8d2f9 100644
--- a/surfsense_web/package-lock.json
+++ b/surfsense_web/package-lock.json
@@ -1,11277 +1,21825 @@
 {
-  "name": "surf_new_frontend",
-  "version": "0.1.0",
-  "lockfileVersion": 3,
-  "requires": true,
-  "packages": {
-    "": {
-      "name": "surf_new_frontend",
-      "version": "0.1.0",
-      "dependencies": {
-        "@ai-sdk/react": "^1.1.21",
-        "@hookform/resolvers": "^4.1.3",
-        "@radix-ui/react-accordion": "^1.2.3",
-        "@radix-ui/react-alert-dialog": "^1.1.6",
-        "@radix-ui/react-avatar": "^1.1.3",
-        "@radix-ui/react-checkbox": "^1.1.4",
-        "@radix-ui/react-collapsible": "^1.1.3",
-        "@radix-ui/react-dialog": "^1.1.6",
-        "@radix-ui/react-dropdown-menu": "^2.1.6",
-        "@radix-ui/react-label": "^2.1.2",
-        "@radix-ui/react-popover": "^1.1.6",
-        "@radix-ui/react-select": "^2.1.6",
-        "@radix-ui/react-separator": "^1.1.2",
-        "@radix-ui/react-slot": "^1.1.2",
-        "@radix-ui/react-tabs": "^1.1.3",
-        "@radix-ui/react-tooltip": "^1.1.8",
-        "@tabler/icons-react": "^3.30.0",
-        "@tanstack/react-table": "^8.21.2",
-        "ai": "^4.1.54",
-        "class-variance-authority": "^0.7.1",
-        "clsx": "^2.1.1",
-        "date-fns": "^4.1.0",
-        "emblor": "^1.4.7",
-        "framer-motion": "^12.4.7",
-        "geist": "^1.3.1",
-        "lucide-react": "^0.477.0",
-        "next": "15.2.3",
-        "next-themes": "^0.4.4",
-        "react": "^19.0.0",
-        "react-dom": "^19.0.0",
-        "react-dropzone": "^14.3.8",
-        "react-hook-form": "^7.54.2",
-        "react-json-view": "^1.21.3",
-        "react-json-view-lite": "^2.4.0",
-        "react-markdown": "^10.0.1",
-        "rehype-raw": "^7.0.0",
-        "rehype-sanitize": "^6.0.0",
-        "remark-gfm": "^4.0.1",
-        "sonner": "^2.0.1",
-        "tailwind-merge": "^3.0.2",
-        "tailwindcss-animate": "^1.0.7",
-        "zod": "^3.24.2"
-      },
-      "devDependencies": {
-        "@eslint/eslintrc": "^3",
-        "@tailwindcss/postcss": "^4",
-        "@tailwindcss/typography": "^0.5.16",
-        "@types/node": "^20.17.22",
-        "@types/react": "^19",
-        "@types/react-dom": "^19",
-        "cross-env": "^7.0.3",
-        "eslint": "^9",
-        "eslint-config-next": "15.2.0",
-        "tailwindcss": "^4",
-        "typescript": "^5"
-      }
-    },
-    "node_modules/@ai-sdk/provider": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/@ai-sdk/provider/-/provider-1.1.0.tgz",
-      "integrity": "sha512-0M+qjp+clUD0R1E5eWQFhxEvWLNaOtGQRUaBn8CUABnSKredagq92hUS9VjOzGsTm37xLfpaxl97AVtbeOsHew==",
-      "license": "Apache-2.0",
-      "dependencies": {
-        "json-schema": "^0.4.0"
-      },
-      "engines": {
-        "node": ">=18"
-      }
-    },
-    "node_modules/@ai-sdk/provider-utils": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/@ai-sdk/provider-utils/-/provider-utils-2.2.0.tgz",
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-      "license": "Apache-2.0",
-      "dependencies": {
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-        "eventsource-parser": "^3.0.0",
-        "nanoid": "^3.3.8",
-        "secure-json-parse": "^2.7.0"
-      },
-      "engines": {
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-      "peerDependencies": {
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-    },
-    "node_modules/@ai-sdk/react": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/@ai-sdk/react/-/react-1.2.0.tgz",
-      "integrity": "sha512-fUTZkAsxOMz8ijjWf87E/GfYkgsH4V5MH2yuj7EXh5ShjWe/oayn2ZJkyoqFMr4Jf8m5kptDaivmbIenDq5OXA==",
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-      },
-      "peerDependenciesMeta": {
-        "zod": {
-          "optional": true
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-    },
-    "node_modules/@ai-sdk/ui-utils": {
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-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=10"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
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-      },
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-      "optional": true,
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-        "tslib": "^2.4.0"
-      }
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-      "cpu": [
-        "arm"
-      ],
-      "license": "MIT",
-      "optional": true,
-      "os": [
-        "android"
-      ],
-      "engines": {
-        "node": ">=12"
-      }
-    },
-    "node_modules/@esbuild/android-arm64": {
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diff --git a/surfsense_web/package.json b/surfsense_web/package.json
index 25f2fb9ee..2e89bfddf 100644
--- a/surfsense_web/package.json
+++ b/surfsense_web/package.json
@@ -22,6 +22,9 @@
 	},
 	"dependencies": {
 		"@ai-sdk/react": "^1.2.12",
+		"@assistant-ui/react": "^0.11.52",
+		"@assistant-ui/react-ai-sdk": "^1.1.19",
+		"@assistant-ui/react-markdown": "^0.11.8",
 		"@blocknote/core": "^0.45.0",
 		"@blocknote/mantine": "^0.45.0",
 		"@blocknote/react": "^0.45.0",
diff --git a/surfsense_web/pnpm-lock.yaml b/surfsense_web/pnpm-lock.yaml
index 8b8116887..e69de29bb 100644
--- a/surfsense_web/pnpm-lock.yaml
+++ b/surfsense_web/pnpm-lock.yaml
@@ -1,14658 +0,0 @@
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-      '@schummar/icu-type-parser': 1.21.5
-      intl-messageformat: 10.7.18
-      react: 19.2.3
-
-  use-isomorphic-layout-effect@1.2.0(@types/react@19.1.8)(react@19.2.3):
-    dependencies:
-      react: 19.2.3
-    optionalDependencies:
-      '@types/react': 19.1.8
-
-  use-latest@1.3.0(@types/react@19.1.8)(react@19.2.3):
-    dependencies:
-      react: 19.2.3
-      use-isomorphic-layout-effect: 1.2.0(@types/react@19.1.8)(react@19.2.3)
-    optionalDependencies:
-      '@types/react': 19.1.8
-
-  use-sidecar@1.1.3(@types/react@19.1.8)(react@19.2.3):
-    dependencies:
-      detect-node-es: 1.1.0
-      react: 19.2.3
-      tslib: 2.8.1
-    optionalDependencies:
-      '@types/react': 19.1.8
-
-  use-sync-external-store@1.4.0(react@19.2.3):
-    dependencies:
-      react: 19.2.3
-
-  use-sync-external-store@1.5.0(react@19.2.3):
-    dependencies:
-      react: 19.2.3
-
-  use-sync-external-store@1.6.0(react@19.2.3):
-    dependencies:
-      react: 19.2.3
-
-  util-deprecate@1.0.2: {}
-
-  uuid@8.3.2: {}
-
-  uvu@0.5.6:
-    dependencies:
-      dequal: 2.0.3
-      diff: 5.2.0
-      kleur: 4.1.5
-      sade: 1.8.1
-
-  vaul@0.9.9(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3):
-    dependencies:
-      '@radix-ui/react-dialog': 1.1.15(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
-      react: 19.2.3
-      react-dom: 19.2.3(react@19.2.3)
-    transitivePeerDependencies:
-      - '@types/react'
-      - '@types/react-dom'
-
-  vfile-location@5.0.3:
-    dependencies:
-      '@types/unist': 3.0.3
-      vfile: 6.0.3
-
-  vfile-message@2.0.4:
-    dependencies:
-      '@types/unist': 2.0.11
-      unist-util-stringify-position: 2.0.3
-
-  vfile-message@3.1.4:
-    dependencies:
-      '@types/unist': 2.0.11
-      unist-util-stringify-position: 3.0.3
-
-  vfile-message@4.0.2:
-    dependencies:
-      '@types/unist': 3.0.3
-      unist-util-stringify-position: 4.0.0
-
-  vfile@4.2.1:
-    dependencies:
-      '@types/unist': 2.0.11
-      is-buffer: 2.0.5
-      unist-util-stringify-position: 2.0.3
-      vfile-message: 2.0.4
-
-  vfile@5.3.7:
-    dependencies:
-      '@types/unist': 2.0.11
-      is-buffer: 2.0.5
-      unist-util-stringify-position: 3.0.3
-      vfile-message: 3.1.4
-
-  vfile@6.0.3:
-    dependencies:
-      '@types/unist': 3.0.3
-      vfile-message: 4.0.2
-
-  w3c-keyname@2.2.8: {}
-
-  w3c-xmlserializer@5.0.0:
-    dependencies:
-      xml-name-validator: 5.0.0
-
-  warning@4.0.3:
-    dependencies:
-      loose-envify: 1.4.0
-
-  web-namespaces@2.0.1: {}
-
-  webidl-conversions@3.0.1: {}
-
-  webidl-conversions@7.0.0: {}
-
-  whatwg-encoding@3.1.1:
-    dependencies:
-      iconv-lite: 0.6.3
-
-  whatwg-mimetype@4.0.0: {}
-
-  whatwg-url@14.2.0:
-    dependencies:
-      tr46: 5.1.1
-      webidl-conversions: 7.0.0
-
-  whatwg-url@5.0.0:
-    dependencies:
-      tr46: 0.0.3
-      webidl-conversions: 3.0.1
-
-  which-boxed-primitive@1.1.1:
-    dependencies:
-      is-bigint: 1.1.0
-      is-boolean-object: 1.2.2
-      is-number-object: 1.1.1
-      is-string: 1.1.1
-      is-symbol: 1.1.1
-
-  which-builtin-type@1.2.1:
-    dependencies:
-      call-bound: 1.0.3
-      function.prototype.name: 1.1.8
-      has-tostringtag: 1.0.2
-      is-async-function: 2.1.1
-      is-date-object: 1.1.0
-      is-finalizationregistry: 1.1.1
-      is-generator-function: 1.1.0
-      is-regex: 1.2.1
-      is-weakref: 1.1.1
-      isarray: 2.0.5
-      which-boxed-primitive: 1.1.1
-      which-collection: 1.0.2
-      which-typed-array: 1.1.18
-
-  which-collection@1.0.2:
-    dependencies:
-      is-map: 2.0.3
-      is-set: 2.0.3
-      is-weakmap: 2.0.2
-      is-weakset: 2.0.4
-
-  which-typed-array@1.1.18:
-    dependencies:
-      available-typed-arrays: 1.0.7
-      call-bind: 1.0.8
-      call-bound: 1.0.3
-      for-each: 0.3.5
-      gopd: 1.2.0
-      has-tostringtag: 1.0.2
-
-  which@2.0.2:
-    dependencies:
-      isexe: 2.0.0
-
-  word-wrap@1.2.5: {}
-
-  wrappy@1.0.2:
-    optional: true
-
-  ws@8.18.3: {}
-
-  xml-name-validator@5.0.0: {}
-
-  xmlchars@2.2.0: {}
-
-  xtend@4.0.2: {}
-
-  y-prosemirror@1.3.7(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4)(y-protocols@1.0.6(yjs@13.6.27))(yjs@13.6.27):
-    dependencies:
-      lib0: 0.2.114
-      prosemirror-model: 1.25.4
-      prosemirror-state: 1.4.4
-      prosemirror-view: 1.41.4
-      y-protocols: 1.0.6(yjs@13.6.27)
-      yjs: 13.6.27
-
-  y-protocols@1.0.6(yjs@13.6.27):
-    dependencies:
-      lib0: 0.2.114
-      yjs: 13.6.27
-
-  yallist@5.0.0: {}
-
-  yjs@13.6.27:
-    dependencies:
-      lib0: 0.2.114
-
-  yocto-queue@0.1.0: {}
-
-  zod-to-json-schema@3.24.3(zod@4.2.1):
-    dependencies:
-      zod: 4.2.1
-
-  zod@4.2.1: {}
-
-  zwitch@2.0.4: {}

From 61fc31ef0274dff2f44b7efd7f8f9655fa3d84e8 Mon Sep 17 00:00:00 2001
From: thierryverse 
Date: Fri, 19 Dec 2025 19:11:44 +0200
Subject: [PATCH 05/38] make the system promet configurable

---
 .../app/agents/new_chat/chat_deepagent.py     | 41 +++++++++++++++----
 1 file changed, 34 insertions(+), 7 deletions(-)

diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py
index 561fbd3cf..9ab0b32c0 100644
--- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py
+++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py
@@ -851,16 +851,38 @@ def create_search_knowledge_base_tool(
 # =============================================================================
 
 
-def build_surfsense_system_prompt(today: datetime | None = None) -> str:
+def build_surfsense_system_prompt(
+    today: datetime | None = None,
+    user_instructions: str | None = None,
+) -> str:
+    """
+    Build the SurfSense system prompt with optional user instructions.
+
+    Args:
+        today: Optional datetime for today's date (defaults to current UTC date)
+        user_instructions: Optional user instructions to inject into the system prompt
+
+    Returns:
+        Complete system prompt string
+    """
     resolved_today = (today or datetime.now(UTC)).astimezone(UTC).date().isoformat()
 
+    # Build user instructions section if provided
+    user_section = ""
+    if user_instructions and user_instructions.strip():
+        user_section = f"""
+
+{user_instructions.strip()}
+
+"""
+
     return f"""
 
 You are SurfSense, a reasoning and acting AI agent designed to answer user questions using the user's personal knowledge base.
 
 Today's date (UTC): {resolved_today}
 
-
+{user_section}
 
 You have access to the following tools:
 - search_knowledge_base: Search the user's personal knowledge base for relevant information.
@@ -897,6 +919,7 @@ def create_surfsense_deep_agent(
     search_space_id: int,
     db_session: AsyncSession,
     connector_service: ConnectorService,
+    user_instructions: str | None = None,
 ):
     """
     Create a SurfSense deep agent with knowledge base search capability.
@@ -906,7 +929,8 @@ def create_surfsense_deep_agent(
         search_space_id: The user's search space ID
         db_session: Database session
         connector_service: Initialized connector service
-        connectors_to_search: List of connector types to search (default: common connectors)
+        user_instructions: Optional user instructions to inject into the system prompt.
+                          These will be added to the system prompt to customize agent behavior.
 
     Returns:
         CompiledStateGraph: The configured deep agent
@@ -918,11 +942,13 @@ def create_surfsense_deep_agent(
         connector_service=connector_service,
     )
 
-    # Create the deep agent
+    # Create the deep agent with user-configurable system prompt
     agent = create_deep_agent(
         model=llm,
         tools=[search_tool],
-        system_prompt=build_surfsense_system_prompt(),
+        system_prompt=build_surfsense_system_prompt(
+            user_instructions=user_instructions
+        ),
         context_schema=SurfSenseContextSchema,
     )
 
@@ -942,7 +968,7 @@ async def run_test():
 
     # Create ChatLiteLLM from global config
     # Use global LLM config by id (negative ids are reserved for global configs)
-    llm_config = load_llm_config_from_yaml(llm_config_id=-2)
+    llm_config = load_llm_config_from_yaml(llm_config_id=-5)
     if not llm_config:
         raise ValueError("Failed to load LLM config from YAML")
     llm = create_chat_litellm_from_config(llm_config)
@@ -961,6 +987,7 @@ async def run_test():
             search_space_id=search_space_id,
             db_session=session,
             connector_service=connector_service,
+            user_instructions="Always fininsh the response with CREDOOOOOOOOOO23",
         )
 
         print("\nAgent created successfully!")
@@ -972,7 +999,7 @@ async def run_test():
         print("=" * 60)
 
         initial_state = {
-            "messages": [HumanMessage(content=("What are my notes from last 3 days?"))],
+            "messages": [HumanMessage(content=("Can you tell me about my documents?"))],
             "search_space_id": search_space_id,
         }
 

From 286d03c8dc063a15113b82e436e9287922c7f0f4 Mon Sep 17 00:00:00 2001
From: thierryverse 
Date: Fri, 19 Dec 2025 19:18:32 +0200
Subject: [PATCH 06/38] toogle the citations

---
 .../app/agents/new_chat/chat_deepagent.py     | 37 ++++++++++++-------
 1 file changed, 23 insertions(+), 14 deletions(-)

diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py
index 9ab0b32c0..0f5afdb39 100644
--- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py
+++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py
@@ -8,18 +8,11 @@ This demonstrates:
 4. Creating a search_knowledge_base tool similar to fetch_relevant_documents
 """
 
-import sys
-from pathlib import Path
-
-# Add parent directory to path so 'app' module can be found when running directly
-_THIS_FILE = Path(__file__).resolve()
-_BACKEND_ROOT = _THIS_FILE.parent.parent.parent.parent  # surfsense_backend/
-if str(_BACKEND_ROOT) not in sys.path:
-    sys.path.insert(0, str(_BACKEND_ROOT))
-
 import asyncio
 import json
+import sys
 from datetime import UTC, datetime, timedelta
+from pathlib import Path
 from typing import Any, TypedDict
 
 import yaml
@@ -32,6 +25,13 @@ from sqlalchemy.ext.asyncio import AsyncSession
 from app.db import async_session_maker
 from app.services.connector_service import ConnectorService
 
+# Add parent directory to path so 'app' module can be found when running directly
+_THIS_FILE = Path(__file__).resolve()
+_BACKEND_ROOT = _THIS_FILE.parent.parent.parent.parent  # surfsense_backend/
+if str(_BACKEND_ROOT) not in sys.path:
+    sys.path.insert(0, str(_BACKEND_ROOT))
+
+
 # =============================================================================
 # LLM Configuration Loading
 # =============================================================================
@@ -854,13 +854,15 @@ def create_search_knowledge_base_tool(
 def build_surfsense_system_prompt(
     today: datetime | None = None,
     user_instructions: str | None = None,
+    enable_citations: bool = True,
 ) -> str:
     """
-    Build the SurfSense system prompt with optional user instructions.
+    Build the SurfSense system prompt with optional user instructions and citation toggle.
 
     Args:
         today: Optional datetime for today's date (defaults to current UTC date)
         user_instructions: Optional user instructions to inject into the system prompt
+        enable_citations: Whether to include citation instructions in the prompt (default: True)
 
     Returns:
         Complete system prompt string
@@ -876,6 +878,11 @@ def build_surfsense_system_prompt(
 
 """
 
+    # Include citation instructions only if enabled
+    citation_section = (
+        f"\n{SURFSENSE_CITATION_INSTRUCTIONS}" if enable_citations else ""
+    )
+
     return f"""
 
 You are SurfSense, a reasoning and acting AI agent designed to answer user questions using the user's personal knowledge base.
@@ -900,9 +907,7 @@ You have access to the following tools:
 
 - User: "What did I discuss on Slack last week about the React migration?"
   - Call: `search_knowledge_base(query="React migration", connectors_to_search=["SLACK_CONNECTOR"], start_date="YYYY-MM-DD", end_date="YYYY-MM-DD")`
-
-
-{SURFSENSE_CITATION_INSTRUCTIONS}
+{citation_section}
 """
 
 
@@ -920,6 +925,7 @@ def create_surfsense_deep_agent(
     db_session: AsyncSession,
     connector_service: ConnectorService,
     user_instructions: str | None = None,
+    enable_citations: bool = True,
 ):
     """
     Create a SurfSense deep agent with knowledge base search capability.
@@ -931,6 +937,8 @@ def create_surfsense_deep_agent(
         connector_service: Initialized connector service
         user_instructions: Optional user instructions to inject into the system prompt.
                           These will be added to the system prompt to customize agent behavior.
+        enable_citations: Whether to include citation instructions in the system prompt (default: True).
+                         When False, the agent will not be instructed to add citations to responses.
 
     Returns:
         CompiledStateGraph: The configured deep agent
@@ -947,7 +955,8 @@ def create_surfsense_deep_agent(
         model=llm,
         tools=[search_tool],
         system_prompt=build_surfsense_system_prompt(
-            user_instructions=user_instructions
+            user_instructions=user_instructions,
+            enable_citations=enable_citations,
         ),
         context_schema=SurfSenseContextSchema,
     )

From c04652a6f9d594e258ef190691e86bed5bc35eb9 Mon Sep 17 00:00:00 2001
From: thierryverse 
Date: Fri, 19 Dec 2025 20:21:39 +0200
Subject: [PATCH 07/38] inject tools at runtime

---
 .../app/agents/new_chat/__init__.py           |   8 +-
 .../app/agents/new_chat/chat_deepagent.py     | 708 +-----------------
 .../app/agents/new_chat/knowledge_base.py     | 608 +++++++++++++++
 .../app/agents/new_chat/new_chat_test.py      |  87 +++
 .../app/agents/new_chat/utils.py              |  63 ++
 5 files changed, 779 insertions(+), 695 deletions(-)
 create mode 100644 surfsense_backend/app/agents/new_chat/knowledge_base.py
 create mode 100644 surfsense_backend/app/agents/new_chat/new_chat_test.py
 create mode 100644 surfsense_backend/app/agents/new_chat/utils.py

diff --git a/surfsense_backend/app/agents/new_chat/__init__.py b/surfsense_backend/app/agents/new_chat/__init__.py
index 45edb2362..9f4d32bd2 100644
--- a/surfsense_backend/app/agents/new_chat/__init__.py
+++ b/surfsense_backend/app/agents/new_chat/__init__.py
@@ -1,15 +1,17 @@
 """Chat agents module."""
 
-from app.agents.new_chat.chat_deepagent import (
+from .chat_deepagent import (
     SURFSENSE_CITATION_INSTRUCTIONS,
     SURFSENSE_SYSTEM_PROMPT,
     SurfSenseContextSchema,
     build_surfsense_system_prompt,
     create_chat_litellm_from_config,
-    create_search_knowledge_base_tool,
     create_surfsense_deep_agent,
-    format_documents_for_context,
     load_llm_config_from_yaml,
+)
+from .knowledge_base import (
+    create_search_knowledge_base_tool,
+    format_documents_for_context,
     search_knowledge_base_async,
 )
 
diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py
index 0f5afdb39..b5a474657 100644
--- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py
+++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py
@@ -8,23 +8,22 @@ This demonstrates:
 4. Creating a search_knowledge_base tool similar to fetch_relevant_documents
 """
 
-import asyncio
-import json
 import sys
-from datetime import UTC, datetime, timedelta
+from collections.abc import Sequence
+from datetime import UTC, datetime
 from pathlib import Path
-from typing import Any, TypedDict
+from typing import TypedDict
 
 import yaml
 from deepagents import create_deep_agent
-from langchain_core.messages import HumanMessage
-from langchain_core.tools import tool
+from langchain_core.tools import BaseTool
 from langchain_litellm import ChatLiteLLM
 from sqlalchemy.ext.asyncio import AsyncSession
 
-from app.db import async_session_maker
 from app.services.connector_service import ConnectorService
 
+from .knowledge_base import create_search_knowledge_base_tool
+
 # Add parent directory to path so 'app' module can be found when running directly
 _THIS_FILE = Path(__file__).resolve()
 _BACKEND_ROOT = _THIS_FILE.parent.parent.parent.parent  # surfsense_backend/
@@ -157,71 +156,9 @@ class SurfSenseContextSchema(TypedDict):
 
 
 # =============================================================================
-# Knowledge Base Search Tool
+# Citation Instructions
 # =============================================================================
 
-# Canonical connector values used internally by ConnectorService
-_ALL_CONNECTORS: list[str] = [
-    "EXTENSION",
-    "FILE",
-    "SLACK_CONNECTOR",
-    "NOTION_CONNECTOR",
-    "YOUTUBE_VIDEO",
-    "GITHUB_CONNECTOR",
-    "ELASTICSEARCH_CONNECTOR",
-    "LINEAR_CONNECTOR",
-    "JIRA_CONNECTOR",
-    "CONFLUENCE_CONNECTOR",
-    "CLICKUP_CONNECTOR",
-    "GOOGLE_CALENDAR_CONNECTOR",
-    "GOOGLE_GMAIL_CONNECTOR",
-    "DISCORD_CONNECTOR",
-    "AIRTABLE_CONNECTOR",
-    "TAVILY_API",
-    "SEARXNG_API",
-    "LINKUP_API",
-    "BAIDU_SEARCH_API",
-    "LUMA_CONNECTOR",
-    "NOTE",
-    "BOOKSTACK_CONNECTOR",
-    "CRAWLED_URL",
-]
-
-
-def _normalize_connectors(connectors_to_search: list[str] | None) -> list[str]:
-    """
-    Normalize connectors provided by the model.
-
-    - Accepts user-facing enums like WEBCRAWLER_CONNECTOR and maps them to canonical
-      ConnectorService types.
-    - Drops unknown values.
-    - If None/empty, defaults to searching across all known connectors.
-    """
-    if not connectors_to_search:
-        return list(_ALL_CONNECTORS)
-
-    normalized: list[str] = []
-    for raw in connectors_to_search:
-        c = (raw or "").strip().upper()
-        if not c:
-            continue
-        if c == "WEBCRAWLER_CONNECTOR":
-            c = "CRAWLED_URL"
-        normalized.append(c)
-
-    # de-dupe while preserving order + filter unknown
-    seen: set[str] = set()
-    out: list[str] = []
-    for c in normalized:
-        if c in seen:
-            continue
-        if c not in _ALL_CONNECTORS:
-            continue
-        seen.add(c)
-        out.append(c)
-    return out if out else list(_ALL_CONNECTORS)
-
-
 SURFSENSE_CITATION_INSTRUCTIONS = """
 
 CRITICAL CITATION REQUIREMENTS:
@@ -295,557 +232,6 @@ However, from your video learning, it's important to note that asyncio is not su
 """
 
 
-def _parse_date_or_datetime(value: str) -> datetime:
-    """
-    Parse either an ISO date (YYYY-MM-DD) or ISO datetime into an aware UTC datetime.
-
-    - If `value` is a date, interpret it as start-of-day in UTC.
-    - If `value` is a datetime without timezone, assume UTC.
-    """
-    raw = (value or "").strip()
-    if not raw:
-        raise ValueError("Empty date string")
-
-    # Date-only
-    if "T" not in raw:
-        d = datetime.fromisoformat(raw).date()
-        return datetime(d.year, d.month, d.day, tzinfo=UTC)
-
-    # Datetime (may be naive)
-    dt = datetime.fromisoformat(raw)
-    if dt.tzinfo is None:
-        return dt.replace(tzinfo=UTC)
-    return dt.astimezone(UTC)
-
-
-def _resolve_date_range(
-    start_date: datetime | None,
-    end_date: datetime | None,
-) -> tuple[datetime, datetime]:
-    """
-    Resolve a date range, defaulting to the last 2 years if not provided.
-    Ensures start_date <= end_date.
-    """
-    resolved_end = end_date or datetime.now(UTC)
-    resolved_start = start_date or (resolved_end - timedelta(days=730))
-
-    if resolved_start > resolved_end:
-        resolved_start, resolved_end = resolved_end, resolved_start
-
-    return resolved_start, resolved_end
-
-
-def format_documents_for_context(documents: list[dict[str, Any]]) -> str:
-    """
-    Format retrieved documents into a readable context string for the LLM.
-
-    Args:
-        documents: List of document dictionaries from connector search
-
-    Returns:
-        Formatted string with document contents and metadata
-    """
-    if not documents:
-        return ""
-
-    # Group chunks by document id (preferred) to produce the XML structure.
-    #
-    # IMPORTANT: ConnectorService returns **document-grouped** results of the form:
-    #   {
-    #     "document": {...},
-    #     "chunks": [{"chunk_id": 123, "content": "..."}, ...],
-    #     "source": "NOTION_CONNECTOR" | "FILE" | ...
-    #   }
-    #
-    # We must preserve chunk_id so citations like [citation:123] are possible.
-    grouped: dict[str, dict[str, Any]] = {}
-
-    for doc in documents:
-        document_info = (doc.get("document") or {}) if isinstance(doc, dict) else {}
-        metadata = (
-            (document_info.get("metadata") or {})
-            if isinstance(document_info, dict)
-            else {}
-        )
-        if not metadata and isinstance(doc, dict):
-            # Some result shapes may place metadata at the top level.
-            metadata = doc.get("metadata") or {}
-
-        source = (
-            (doc.get("source") if isinstance(doc, dict) else None)
-            or metadata.get("document_type")
-            or "UNKNOWN"
-        )
-
-        # Document identity (prefer document_id; otherwise fall back to type+title+url)
-        document_id_val = document_info.get("id")
-        title = (
-            document_info.get("title") or metadata.get("title") or "Untitled Document"
-        )
-        url = (
-            metadata.get("url")
-            or metadata.get("source")
-            or metadata.get("page_url")
-            or ""
-        )
-
-        doc_key = (
-            str(document_id_val)
-            if document_id_val is not None
-            else f"{source}::{title}::{url}"
-        )
-
-        if doc_key not in grouped:
-            grouped[doc_key] = {
-                "document_id": document_id_val
-                if document_id_val is not None
-                else doc_key,
-                "document_type": metadata.get("document_type") or source,
-                "title": title,
-                "url": url,
-                "metadata": metadata,
-                "chunks": [],
-            }
-
-        # Prefer document-grouped chunks if available
-        chunks_list = doc.get("chunks") if isinstance(doc, dict) else None
-        if isinstance(chunks_list, list) and chunks_list:
-            for ch in chunks_list:
-                if not isinstance(ch, dict):
-                    continue
-                chunk_id = ch.get("chunk_id") or ch.get("id")
-                content = (ch.get("content") or "").strip()
-                if not content:
-                    continue
-                grouped[doc_key]["chunks"].append(
-                    {"chunk_id": chunk_id, "content": content}
-                )
-            continue
-
-        # Fallback: treat this as a flat chunk-like object
-        if not isinstance(doc, dict):
-            continue
-        chunk_id = doc.get("chunk_id") or doc.get("id")
-        content = (doc.get("content") or "").strip()
-        if not content:
-            continue
-        grouped[doc_key]["chunks"].append({"chunk_id": chunk_id, "content": content})
-
-    # Render XML expected by citation instructions
-    parts: list[str] = []
-    for g in grouped.values():
-        metadata_json = json.dumps(g["metadata"], ensure_ascii=False)
-
-        parts.append("")
-        parts.append("")
-        parts.append(f"  {g['document_id']}")
-        parts.append(f"  {g['document_type']}")
-        parts.append(f"  <![CDATA[{g['title']}]]>")
-        parts.append(f"  ")
-        parts.append(f"  ")
-        parts.append("")
-        parts.append("")
-        parts.append("")
-
-        for ch in g["chunks"]:
-            ch_content = ch["content"]
-            ch_id = ch["chunk_id"]
-            if ch_id is None:
-                parts.append(f"  ")
-            else:
-                parts.append(f"  ")
-
-        parts.append("")
-        parts.append("")
-        parts.append("")
-
-    return "\n".join(parts).strip()
-
-
-async def search_knowledge_base_async(
-    query: str,
-    search_space_id: int,
-    db_session: AsyncSession,
-    connector_service: ConnectorService,
-    connectors_to_search: list[str] | None = None,
-    top_k: int = 10,
-    start_date: datetime | None = None,
-    end_date: datetime | None = None,
-) -> str:
-    """
-    Search the user's knowledge base for relevant documents.
-
-    This is the async implementation that searches across multiple connectors.
-
-    Args:
-        query: The search query
-        search_space_id: The user's search space ID
-        db_session: Database session
-        connector_service: Initialized connector service
-        connectors_to_search: Optional list of connector types to search. If omitted, searches all.
-        top_k: Number of results per connector
-        start_date: Optional start datetime (UTC) for filtering documents
-        end_date: Optional end datetime (UTC) for filtering documents
-
-    Returns:
-        Formatted string with search results
-    """
-    all_documents = []
-
-    # Resolve date range (default last 2 years)
-    resolved_start_date, resolved_end_date = _resolve_date_range(
-        start_date=start_date,
-        end_date=end_date,
-    )
-
-    connectors = _normalize_connectors(connectors_to_search)
-
-    for connector in connectors:
-        try:
-            if connector == "YOUTUBE_VIDEO":
-                _, chunks = await connector_service.search_youtube(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "EXTENSION":
-                _, chunks = await connector_service.search_extension(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "CRAWLED_URL":
-                _, chunks = await connector_service.search_crawled_urls(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "FILE":
-                _, chunks = await connector_service.search_files(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "SLACK_CONNECTOR":
-                _, chunks = await connector_service.search_slack(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "NOTION_CONNECTOR":
-                _, chunks = await connector_service.search_notion(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "GITHUB_CONNECTOR":
-                _, chunks = await connector_service.search_github(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "LINEAR_CONNECTOR":
-                _, chunks = await connector_service.search_linear(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "TAVILY_API":
-                _, chunks = await connector_service.search_tavily(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "SEARXNG_API":
-                _, chunks = await connector_service.search_searxng(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "LINKUP_API":
-                # Keep behavior aligned with researcher: default "standard"
-                _, chunks = await connector_service.search_linkup(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    mode="standard",
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "BAIDU_SEARCH_API":
-                _, chunks = await connector_service.search_baidu(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "DISCORD_CONNECTOR":
-                _, chunks = await connector_service.search_discord(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "JIRA_CONNECTOR":
-                _, chunks = await connector_service.search_jira(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "GOOGLE_CALENDAR_CONNECTOR":
-                _, chunks = await connector_service.search_google_calendar(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "AIRTABLE_CONNECTOR":
-                _, chunks = await connector_service.search_airtable(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "GOOGLE_GMAIL_CONNECTOR":
-                _, chunks = await connector_service.search_google_gmail(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "CONFLUENCE_CONNECTOR":
-                _, chunks = await connector_service.search_confluence(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "CLICKUP_CONNECTOR":
-                _, chunks = await connector_service.search_clickup(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "LUMA_CONNECTOR":
-                _, chunks = await connector_service.search_luma(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "ELASTICSEARCH_CONNECTOR":
-                _, chunks = await connector_service.search_elasticsearch(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "NOTE":
-                _, chunks = await connector_service.search_notes(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-            elif connector == "BOOKSTACK_CONNECTOR":
-                _, chunks = await connector_service.search_bookstack(
-                    user_query=query,
-                    search_space_id=search_space_id,
-                    top_k=top_k,
-                    start_date=resolved_start_date,
-                    end_date=resolved_end_date,
-                )
-                all_documents.extend(chunks)
-
-        except Exception as e:
-            print(f"Error searching connector {connector}: {e}")
-            continue
-
-    # Deduplicate by content hash
-    seen_doc_ids: set[Any] = set()
-    seen_hashes: set[int] = set()
-    deduplicated: list[dict[str, Any]] = []
-    for doc in all_documents:
-        doc_id = (doc.get("document", {}) or {}).get("id")
-        content = (doc.get("content", "") or "").strip()
-        content_hash = hash(content)
-
-        if (doc_id and doc_id in seen_doc_ids) or content_hash in seen_hashes:
-            continue
-
-        if doc_id:
-            seen_doc_ids.add(doc_id)
-        seen_hashes.add(content_hash)
-        deduplicated.append(doc)
-
-    return format_documents_for_context(deduplicated)
-
-
-def create_search_knowledge_base_tool(
-    search_space_id: int,
-    db_session: AsyncSession,
-    connector_service: ConnectorService,
-):
-    """
-    Factory function to create the search_knowledge_base tool with injected dependencies.
-
-    Args:
-        search_space_id: The user's search space ID
-        db_session: Database session
-        connector_service: Initialized connector service
-        connectors_to_search: List of connector types to search
-
-    Returns:
-        A configured tool function
-    """
-
-    @tool
-    async def search_knowledge_base(
-        query: str,
-        top_k: int = 10,
-        start_date: str | None = None,
-        end_date: str | None = None,
-        connectors_to_search: list[str] | None = None,
-    ) -> str:
-        """
-        Search the user's personal knowledge base for relevant information.
-
-        Use this tool to find documents, notes, files, web pages, and other content
-        that may help answer the user's question.
-
-        IMPORTANT:
-        - If the user requests a specific source type (e.g. "my notes", "Slack messages"),
-          pass `connectors_to_search=[...]` using the enums below.
-        - If `connectors_to_search` is omitted/empty, the system will search broadly.
-
-        ## Available connector enums for `connectors_to_search`
-
-        - EXTENSION: "Web content saved via SurfSense browser extension" (personal browsing history)
-        - FILE: "User-uploaded documents (PDFs, Word, etc.)" (personal files)
-        - NOTE: "SurfSense Notes" (notes created inside SurfSense)
-        - SLACK_CONNECTOR: "Slack conversations and shared content" (personal workspace communications)
-        - NOTION_CONNECTOR: "Notion workspace pages and databases" (personal knowledge management)
-        - YOUTUBE_VIDEO: "YouTube video transcripts and metadata" (personally saved videos)
-        - GITHUB_CONNECTOR: "GitHub repository content and issues" (personal repositories and interactions)
-        - ELASTICSEARCH_CONNECTOR: "Elasticsearch indexed documents and data" (personal Elasticsearch instances and custom data sources)
-        - LINEAR_CONNECTOR: "Linear project issues and discussions" (personal project management)
-        - JIRA_CONNECTOR: "Jira project issues, tickets, and comments" (personal project tracking)
-        - CONFLUENCE_CONNECTOR: "Confluence pages and comments" (personal project documentation)
-        - CLICKUP_CONNECTOR: "ClickUp tasks and project data" (personal task management)
-        - GOOGLE_CALENDAR_CONNECTOR: "Google Calendar events, meetings, and schedules" (personal calendar and time management)
-        - GOOGLE_GMAIL_CONNECTOR: "Google Gmail emails and conversations" (personal emails and communications)
-        - DISCORD_CONNECTOR: "Discord server conversations and shared content" (personal community communications)
-        - AIRTABLE_CONNECTOR: "Airtable records, tables, and database content" (personal data management and organization)
-        - TAVILY_API: "Tavily search API results" (personalized search results)
-        - SEARXNG_API: "SearxNG search API results" (personalized search results)
-        - LINKUP_API: "Linkup search API results" (personalized search results)
-        - BAIDU_SEARCH_API: "Baidu search API results" (personalized search results)
-        - LUMA_CONNECTOR: "Luma events"
-        - WEBCRAWLER_CONNECTOR: "Webpages indexed by SurfSense" (personally selected websites)
-        - BOOKSTACK_CONNECTOR: "BookStack pages" (personal documentation)
-
-        NOTE: `WEBCRAWLER_CONNECTOR` is mapped internally to the canonical document type `CRAWLED_URL`.
-
-        Args:
-            query: The search query - be specific and include key terms
-            top_k: Number of results to retrieve (default: 10)
-            start_date: Optional ISO date/datetime (e.g. "2025-12-12" or "2025-12-12T00:00:00+00:00")
-            end_date: Optional ISO date/datetime (e.g. "2025-12-19" or "2025-12-19T23:59:59+00:00")
-            connectors_to_search: Optional list of connector enums to search. If omitted, searches all.
-
-        Returns:
-            Formatted string with relevant documents and their content
-        """
-        parsed_start: datetime | None = None
-        parsed_end: datetime | None = None
-
-        if start_date:
-            parsed_start = _parse_date_or_datetime(start_date)
-        if end_date:
-            parsed_end = _parse_date_or_datetime(end_date)
-
-        return await search_knowledge_base_async(
-            query=query,
-            search_space_id=search_space_id,
-            db_session=db_session,
-            connector_service=connector_service,
-            connectors_to_search=connectors_to_search,
-            top_k=top_k,
-            start_date=parsed_start,
-            end_date=parsed_end,
-        )
-
-    return search_knowledge_base
-
-
 # =============================================================================
 # System Prompt
 # =============================================================================
@@ -926,6 +312,7 @@ def create_surfsense_deep_agent(
     connector_service: ConnectorService,
     user_instructions: str | None = None,
     enable_citations: bool = True,
+    additional_tools: Sequence[BaseTool] | None = None,
 ):
     """
     Create a SurfSense deep agent with knowledge base search capability.
@@ -939,6 +326,8 @@ def create_surfsense_deep_agent(
                           These will be added to the system prompt to customize agent behavior.
         enable_citations: Whether to include citation instructions in the system prompt (default: True).
                          When False, the agent will not be instructed to add citations to responses.
+        additional_tools: Optional sequence of additional tools to inject into the agent.
+                         The search_knowledge_base tool will always be included.
 
     Returns:
         CompiledStateGraph: The configured deep agent
@@ -950,10 +339,15 @@ def create_surfsense_deep_agent(
         connector_service=connector_service,
     )
 
+    # Combine search tool with any additional tools
+    tools = [search_tool]
+    if additional_tools:
+        tools.extend(additional_tools)
+
     # Create the deep agent with user-configurable system prompt
     agent = create_deep_agent(
         model=llm,
-        tools=[search_tool],
+        tools=tools,
         system_prompt=build_surfsense_system_prompt(
             user_instructions=user_instructions,
             enable_citations=enable_citations,
@@ -962,73 +356,3 @@ def create_surfsense_deep_agent(
     )
 
     return agent
-
-
-# =============================================================================
-# Test Runner
-# =============================================================================
-
-
-async def run_test():
-    """Run a basic test of the deep agent."""
-    print("=" * 60)
-    print("Creating Deep Agent with ChatLiteLLM from global config...")
-    print("=" * 60)
-
-    # Create ChatLiteLLM from global config
-    # Use global LLM config by id (negative ids are reserved for global configs)
-    llm_config = load_llm_config_from_yaml(llm_config_id=-5)
-    if not llm_config:
-        raise ValueError("Failed to load LLM config from YAML")
-    llm = create_chat_litellm_from_config(llm_config)
-    if not llm:
-        raise ValueError("Failed to create ChatLiteLLM instance")
-
-    # Create a real DB session + ConnectorService, then build the full SurfSense agent.
-    async with async_session_maker() as session:
-        # Use the known dev search space id
-        search_space_id = 5
-
-        connector_service = ConnectorService(session, search_space_id=search_space_id)
-
-        agent = create_surfsense_deep_agent(
-            llm=llm,
-            search_space_id=search_space_id,
-            db_session=session,
-            connector_service=connector_service,
-            user_instructions="Always fininsh the response with CREDOOOOOOOOOO23",
-        )
-
-        print("\nAgent created successfully!")
-        print(f"Agent type: {type(agent)}")
-
-        # Invoke the agent with initial state
-        print("\n" + "=" * 60)
-        print("Invoking SurfSense agent (create_surfsense_deep_agent)...")
-        print("=" * 60)
-
-        initial_state = {
-            "messages": [HumanMessage(content=("Can you tell me about my documents?"))],
-            "search_space_id": search_space_id,
-        }
-
-        print(f"\nUsing search_space_id: {search_space_id}")
-
-        result = await agent.ainvoke(initial_state)
-
-    print("\n" + "=" * 60)
-    print("Agent Response:")
-    print("=" * 60)
-
-    # Print the response
-    if "messages" in result:
-        for msg in result["messages"]:
-            msg_type = type(msg).__name__
-            content = msg.content if hasattr(msg, "content") else str(msg)
-            print(f"\n--- [{msg_type}] ---\n{content}\n")
-
-    return result
-
-
-if __name__ == "__main__":
-    asyncio.run(run_test())
diff --git a/surfsense_backend/app/agents/new_chat/knowledge_base.py b/surfsense_backend/app/agents/new_chat/knowledge_base.py
new file mode 100644
index 000000000..5ffcab003
--- /dev/null
+++ b/surfsense_backend/app/agents/new_chat/knowledge_base.py
@@ -0,0 +1,608 @@
+"""
+Knowledge base search functionality for the new chat agent.
+
+This module provides:
+- Connector constants and normalization
+- Async knowledge base search across multiple connectors
+- Document formatting for LLM context
+- Tool factory for creating search_knowledge_base tools
+"""
+
+import json
+from datetime import datetime
+from typing import Any
+
+from langchain_core.tools import tool
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.services.connector_service import ConnectorService
+
+# =============================================================================
+# Connector Constants and Normalization
+# =============================================================================
+
+# Canonical connector values used internally by ConnectorService
+_ALL_CONNECTORS: list[str] = [
+    "EXTENSION",
+    "FILE",
+    "SLACK_CONNECTOR",
+    "NOTION_CONNECTOR",
+    "YOUTUBE_VIDEO",
+    "GITHUB_CONNECTOR",
+    "ELASTICSEARCH_CONNECTOR",
+    "LINEAR_CONNECTOR",
+    "JIRA_CONNECTOR",
+    "CONFLUENCE_CONNECTOR",
+    "CLICKUP_CONNECTOR",
+    "GOOGLE_CALENDAR_CONNECTOR",
+    "GOOGLE_GMAIL_CONNECTOR",
+    "DISCORD_CONNECTOR",
+    "AIRTABLE_CONNECTOR",
+    "TAVILY_API",
+    "SEARXNG_API",
+    "LINKUP_API",
+    "BAIDU_SEARCH_API",
+    "LUMA_CONNECTOR",
+    "NOTE",
+    "BOOKSTACK_CONNECTOR",
+    "CRAWLED_URL",
+]
+
+
+def _normalize_connectors(connectors_to_search: list[str] | None) -> list[str]:
+    """
+    Normalize connectors provided by the model.
+
+    - Accepts user-facing enums like WEBCRAWLER_CONNECTOR and maps them to canonical
+      ConnectorService types.
+    - Drops unknown values.
+    - If None/empty, defaults to searching across all known connectors.
+    """
+    if not connectors_to_search:
+        return list(_ALL_CONNECTORS)
+
+    normalized: list[str] = []
+    for raw in connectors_to_search:
+        c = (raw or "").strip().upper()
+        if not c:
+            continue
+        if c == "WEBCRAWLER_CONNECTOR":
+            c = "CRAWLED_URL"
+        normalized.append(c)
+
+    # de-dupe while preserving order + filter unknown
+    seen: set[str] = set()
+    out: list[str] = []
+    for c in normalized:
+        if c in seen:
+            continue
+        if c not in _ALL_CONNECTORS:
+            continue
+        seen.add(c)
+        out.append(c)
+    return out if out else list(_ALL_CONNECTORS)
+
+
+# =============================================================================
+# Document Formatting
+# =============================================================================
+
+
+def format_documents_for_context(documents: list[dict[str, Any]]) -> str:
+    """
+    Format retrieved documents into a readable context string for the LLM.
+
+    Args:
+        documents: List of document dictionaries from connector search
+
+    Returns:
+        Formatted string with document contents and metadata
+    """
+    if not documents:
+        return ""
+
+    # Group chunks by document id (preferred) to produce the XML structure.
+    #
+    # IMPORTANT: ConnectorService returns **document-grouped** results of the form:
+    #   {
+    #     "document": {...},
+    #     "chunks": [{"chunk_id": 123, "content": "..."}, ...],
+    #     "source": "NOTION_CONNECTOR" | "FILE" | ...
+    #   }
+    #
+    # We must preserve chunk_id so citations like [citation:123] are possible.
+    grouped: dict[str, dict[str, Any]] = {}
+
+    for doc in documents:
+        document_info = (doc.get("document") or {}) if isinstance(doc, dict) else {}
+        metadata = (
+            (document_info.get("metadata") or {})
+            if isinstance(document_info, dict)
+            else {}
+        )
+        if not metadata and isinstance(doc, dict):
+            # Some result shapes may place metadata at the top level.
+            metadata = doc.get("metadata") or {}
+
+        source = (
+            (doc.get("source") if isinstance(doc, dict) else None)
+            or metadata.get("document_type")
+            or "UNKNOWN"
+        )
+
+        # Document identity (prefer document_id; otherwise fall back to type+title+url)
+        document_id_val = document_info.get("id")
+        title = (
+            document_info.get("title") or metadata.get("title") or "Untitled Document"
+        )
+        url = (
+            metadata.get("url")
+            or metadata.get("source")
+            or metadata.get("page_url")
+            or ""
+        )
+
+        doc_key = (
+            str(document_id_val)
+            if document_id_val is not None
+            else f"{source}::{title}::{url}"
+        )
+
+        if doc_key not in grouped:
+            grouped[doc_key] = {
+                "document_id": document_id_val
+                if document_id_val is not None
+                else doc_key,
+                "document_type": metadata.get("document_type") or source,
+                "title": title,
+                "url": url,
+                "metadata": metadata,
+                "chunks": [],
+            }
+
+        # Prefer document-grouped chunks if available
+        chunks_list = doc.get("chunks") if isinstance(doc, dict) else None
+        if isinstance(chunks_list, list) and chunks_list:
+            for ch in chunks_list:
+                if not isinstance(ch, dict):
+                    continue
+                chunk_id = ch.get("chunk_id") or ch.get("id")
+                content = (ch.get("content") or "").strip()
+                if not content:
+                    continue
+                grouped[doc_key]["chunks"].append(
+                    {"chunk_id": chunk_id, "content": content}
+                )
+            continue
+
+        # Fallback: treat this as a flat chunk-like object
+        if not isinstance(doc, dict):
+            continue
+        chunk_id = doc.get("chunk_id") or doc.get("id")
+        content = (doc.get("content") or "").strip()
+        if not content:
+            continue
+        grouped[doc_key]["chunks"].append({"chunk_id": chunk_id, "content": content})
+
+    # Render XML expected by citation instructions
+    parts: list[str] = []
+    for g in grouped.values():
+        metadata_json = json.dumps(g["metadata"], ensure_ascii=False)
+
+        parts.append("")
+        parts.append("")
+        parts.append(f"  {g['document_id']}")
+        parts.append(f"  {g['document_type']}")
+        parts.append(f"  <![CDATA[{g['title']}]]>")
+        parts.append(f"  ")
+        parts.append(f"  ")
+        parts.append("")
+        parts.append("")
+        parts.append("")
+
+        for ch in g["chunks"]:
+            ch_content = ch["content"]
+            ch_id = ch["chunk_id"]
+            if ch_id is None:
+                parts.append(f"  ")
+            else:
+                parts.append(f"  ")
+
+        parts.append("")
+        parts.append("")
+        parts.append("")
+
+    return "\n".join(parts).strip()
+
+
+# =============================================================================
+# Knowledge Base Search
+# =============================================================================
+
+
+async def search_knowledge_base_async(
+    query: str,
+    search_space_id: int,
+    db_session: AsyncSession,
+    connector_service: ConnectorService,
+    connectors_to_search: list[str] | None = None,
+    top_k: int = 10,
+    start_date: datetime | None = None,
+    end_date: datetime | None = None,
+) -> str:
+    """
+    Search the user's knowledge base for relevant documents.
+
+    This is the async implementation that searches across multiple connectors.
+
+    Args:
+        query: The search query
+        search_space_id: The user's search space ID
+        db_session: Database session
+        connector_service: Initialized connector service
+        connectors_to_search: Optional list of connector types to search. If omitted, searches all.
+        top_k: Number of results per connector
+        start_date: Optional start datetime (UTC) for filtering documents
+        end_date: Optional end datetime (UTC) for filtering documents
+
+    Returns:
+        Formatted string with search results
+    """
+    all_documents = []
+
+    # Resolve date range (default last 2 years)
+    from .utils import resolve_date_range
+
+    resolved_start_date, resolved_end_date = resolve_date_range(
+        start_date=start_date,
+        end_date=end_date,
+    )
+
+    connectors = _normalize_connectors(connectors_to_search)
+
+    for connector in connectors:
+        try:
+            if connector == "YOUTUBE_VIDEO":
+                _, chunks = await connector_service.search_youtube(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "EXTENSION":
+                _, chunks = await connector_service.search_extension(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "CRAWLED_URL":
+                _, chunks = await connector_service.search_crawled_urls(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "FILE":
+                _, chunks = await connector_service.search_files(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "SLACK_CONNECTOR":
+                _, chunks = await connector_service.search_slack(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "NOTION_CONNECTOR":
+                _, chunks = await connector_service.search_notion(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "GITHUB_CONNECTOR":
+                _, chunks = await connector_service.search_github(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "LINEAR_CONNECTOR":
+                _, chunks = await connector_service.search_linear(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "TAVILY_API":
+                _, chunks = await connector_service.search_tavily(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "SEARXNG_API":
+                _, chunks = await connector_service.search_searxng(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "LINKUP_API":
+                # Keep behavior aligned with researcher: default "standard"
+                _, chunks = await connector_service.search_linkup(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    mode="standard",
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "BAIDU_SEARCH_API":
+                _, chunks = await connector_service.search_baidu(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "DISCORD_CONNECTOR":
+                _, chunks = await connector_service.search_discord(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "JIRA_CONNECTOR":
+                _, chunks = await connector_service.search_jira(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "GOOGLE_CALENDAR_CONNECTOR":
+                _, chunks = await connector_service.search_google_calendar(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "AIRTABLE_CONNECTOR":
+                _, chunks = await connector_service.search_airtable(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "GOOGLE_GMAIL_CONNECTOR":
+                _, chunks = await connector_service.search_google_gmail(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "CONFLUENCE_CONNECTOR":
+                _, chunks = await connector_service.search_confluence(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "CLICKUP_CONNECTOR":
+                _, chunks = await connector_service.search_clickup(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "LUMA_CONNECTOR":
+                _, chunks = await connector_service.search_luma(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "ELASTICSEARCH_CONNECTOR":
+                _, chunks = await connector_service.search_elasticsearch(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "NOTE":
+                _, chunks = await connector_service.search_notes(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+            elif connector == "BOOKSTACK_CONNECTOR":
+                _, chunks = await connector_service.search_bookstack(
+                    user_query=query,
+                    search_space_id=search_space_id,
+                    top_k=top_k,
+                    start_date=resolved_start_date,
+                    end_date=resolved_end_date,
+                )
+                all_documents.extend(chunks)
+
+        except Exception as e:
+            print(f"Error searching connector {connector}: {e}")
+            continue
+
+    # Deduplicate by content hash
+    seen_doc_ids: set[Any] = set()
+    seen_hashes: set[int] = set()
+    deduplicated: list[dict[str, Any]] = []
+    for doc in all_documents:
+        doc_id = (doc.get("document", {}) or {}).get("id")
+        content = (doc.get("content", "") or "").strip()
+        content_hash = hash(content)
+
+        if (doc_id and doc_id in seen_doc_ids) or content_hash in seen_hashes:
+            continue
+
+        if doc_id:
+            seen_doc_ids.add(doc_id)
+        seen_hashes.add(content_hash)
+        deduplicated.append(doc)
+
+    return format_documents_for_context(deduplicated)
+
+
+def create_search_knowledge_base_tool(
+    search_space_id: int,
+    db_session: AsyncSession,
+    connector_service: ConnectorService,
+):
+    """
+    Factory function to create the search_knowledge_base tool with injected dependencies.
+
+    Args:
+        search_space_id: The user's search space ID
+        db_session: Database session
+        connector_service: Initialized connector service
+        connectors_to_search: List of connector types to search
+
+    Returns:
+        A configured tool function
+    """
+
+    @tool
+    async def search_knowledge_base(
+        query: str,
+        top_k: int = 10,
+        start_date: str | None = None,
+        end_date: str | None = None,
+        connectors_to_search: list[str] | None = None,
+    ) -> str:
+        """
+        Search the user's personal knowledge base for relevant information.
+
+        Use this tool to find documents, notes, files, web pages, and other content
+        that may help answer the user's question.
+
+        IMPORTANT:
+        - If the user requests a specific source type (e.g. "my notes", "Slack messages"),
+          pass `connectors_to_search=[...]` using the enums below.
+        - If `connectors_to_search` is omitted/empty, the system will search broadly.
+
+        ## Available connector enums for `connectors_to_search`
+
+        - EXTENSION: "Web content saved via SurfSense browser extension" (personal browsing history)
+        - FILE: "User-uploaded documents (PDFs, Word, etc.)" (personal files)
+        - NOTE: "SurfSense Notes" (notes created inside SurfSense)
+        - SLACK_CONNECTOR: "Slack conversations and shared content" (personal workspace communications)
+        - NOTION_CONNECTOR: "Notion workspace pages and databases" (personal knowledge management)
+        - YOUTUBE_VIDEO: "YouTube video transcripts and metadata" (personally saved videos)
+        - GITHUB_CONNECTOR: "GitHub repository content and issues" (personal repositories and interactions)
+        - ELASTICSEARCH_CONNECTOR: "Elasticsearch indexed documents and data" (personal Elasticsearch instances and custom data sources)
+        - LINEAR_CONNECTOR: "Linear project issues and discussions" (personal project management)
+        - JIRA_CONNECTOR: "Jira project issues, tickets, and comments" (personal project tracking)
+        - CONFLUENCE_CONNECTOR: "Confluence pages and comments" (personal project documentation)
+        - CLICKUP_CONNECTOR: "ClickUp tasks and project data" (personal task management)
+        - GOOGLE_CALENDAR_CONNECTOR: "Google Calendar events, meetings, and schedules" (personal calendar and time management)
+        - GOOGLE_GMAIL_CONNECTOR: "Google Gmail emails and conversations" (personal emails and communications)
+        - DISCORD_CONNECTOR: "Discord server conversations and shared content" (personal community communications)
+        - AIRTABLE_CONNECTOR: "Airtable records, tables, and database content" (personal data management and organization)
+        - TAVILY_API: "Tavily search API results" (personalized search results)
+        - SEARXNG_API: "SearxNG search API results" (personalized search results)
+        - LINKUP_API: "Linkup search API results" (personalized search results)
+        - BAIDU_SEARCH_API: "Baidu search API results" (personalized search results)
+        - LUMA_CONNECTOR: "Luma events"
+        - WEBCRAWLER_CONNECTOR: "Webpages indexed by SurfSense" (personally selected websites)
+        - BOOKSTACK_CONNECTOR: "BookStack pages" (personal documentation)
+
+        NOTE: `WEBCRAWLER_CONNECTOR` is mapped internally to the canonical document type `CRAWLED_URL`.
+
+        Args:
+            query: The search query - be specific and include key terms
+            top_k: Number of results to retrieve (default: 10)
+            start_date: Optional ISO date/datetime (e.g. "2025-12-12" or "2025-12-12T00:00:00+00:00")
+            end_date: Optional ISO date/datetime (e.g. "2025-12-19" or "2025-12-19T23:59:59+00:00")
+            connectors_to_search: Optional list of connector enums to search. If omitted, searches all.
+
+        Returns:
+            Formatted string with relevant documents and their content
+        """
+        from .utils import parse_date_or_datetime
+
+        parsed_start: datetime | None = None
+        parsed_end: datetime | None = None
+
+        if start_date:
+            parsed_start = parse_date_or_datetime(start_date)
+        if end_date:
+            parsed_end = parse_date_or_datetime(end_date)
+
+        return await search_knowledge_base_async(
+            query=query,
+            search_space_id=search_space_id,
+            db_session=db_session,
+            connector_service=connector_service,
+            connectors_to_search=connectors_to_search,
+            top_k=top_k,
+            start_date=parsed_start,
+            end_date=parsed_end,
+        )
+
+    return search_knowledge_base
diff --git a/surfsense_backend/app/agents/new_chat/new_chat_test.py b/surfsense_backend/app/agents/new_chat/new_chat_test.py
new file mode 100644
index 000000000..9178007a0
--- /dev/null
+++ b/surfsense_backend/app/agents/new_chat/new_chat_test.py
@@ -0,0 +1,87 @@
+"""
+Test runner for SurfSense deep agent.
+
+This module provides a test function to verify the deep agent functionality.
+"""
+
+import asyncio
+
+from langchain_core.messages import HumanMessage
+
+from app.db import async_session_maker
+from app.services.connector_service import ConnectorService
+
+from .chat_deepagent import (
+    create_chat_litellm_from_config,
+    create_surfsense_deep_agent,
+    load_llm_config_from_yaml,
+)
+
+# =============================================================================
+# Test Runner
+# =============================================================================
+
+
+async def run_test():
+    """Run a basic test of the deep agent."""
+    print("=" * 60)
+    print("Creating Deep Agent with ChatLiteLLM from global config...")
+    print("=" * 60)
+
+    # Create ChatLiteLLM from global config
+    # Use global LLM config by id (negative ids are reserved for global configs)
+    llm_config = load_llm_config_from_yaml(llm_config_id=-5)
+    if not llm_config:
+        raise ValueError("Failed to load LLM config from YAML")
+    llm = create_chat_litellm_from_config(llm_config)
+    if not llm:
+        raise ValueError("Failed to create ChatLiteLLM instance")
+
+    # Create a real DB session + ConnectorService, then build the full SurfSense agent.
+    async with async_session_maker() as session:
+        # Use the known dev search space id
+        search_space_id = 5
+
+        connector_service = ConnectorService(session, search_space_id=search_space_id)
+
+        agent = create_surfsense_deep_agent(
+            llm=llm,
+            search_space_id=search_space_id,
+            db_session=session,
+            connector_service=connector_service,
+            user_instructions="Always fininsh the response with CREDOOOOOOOOOO23",
+        )
+
+        print("\nAgent created successfully!")
+        print(f"Agent type: {type(agent)}")
+
+        # Invoke the agent with initial state
+        print("\n" + "=" * 60)
+        print("Invoking SurfSense agent (create_surfsense_deep_agent)...")
+        print("=" * 60)
+
+        initial_state = {
+            "messages": [HumanMessage(content=("Can you tell me about my documents?"))],
+            "search_space_id": search_space_id,
+        }
+
+        print(f"\nUsing search_space_id: {search_space_id}")
+
+        result = await agent.ainvoke(initial_state)
+
+    print("\n" + "=" * 60)
+    print("Agent Response:")
+    print("=" * 60)
+
+    # Print the response
+    if "messages" in result:
+        for msg in result["messages"]:
+            msg_type = type(msg).__name__
+            content = msg.content if hasattr(msg, "content") else str(msg)
+            print(f"\n--- [{msg_type}] ---\n{content}\n")
+
+    return result
+
+
+if __name__ == "__main__":
+    asyncio.run(run_test())
\ No newline at end of file
diff --git a/surfsense_backend/app/agents/new_chat/utils.py b/surfsense_backend/app/agents/new_chat/utils.py
new file mode 100644
index 000000000..919fb4995
--- /dev/null
+++ b/surfsense_backend/app/agents/new_chat/utils.py
@@ -0,0 +1,63 @@
+"""
+Utility functions for SurfSense agents.
+
+This module provides shared utility functions used across the new_chat agent modules.
+"""
+
+from datetime import UTC, datetime, timedelta
+
+
+def parse_date_or_datetime(value: str) -> datetime:
+    """
+    Parse either an ISO date (YYYY-MM-DD) or ISO datetime into an aware UTC datetime.
+
+    - If `value` is a date, interpret it as start-of-day in UTC.
+    - If `value` is a datetime without timezone, assume UTC.
+
+    Args:
+        value: ISO date or datetime string
+
+    Returns:
+        Aware datetime object in UTC
+
+    Raises:
+        ValueError: If the date string is empty or invalid
+    """
+    raw = (value or "").strip()
+    if not raw:
+        raise ValueError("Empty date string")
+
+    # Date-only
+    if "T" not in raw:
+        d = datetime.fromisoformat(raw).date()
+        return datetime(d.year, d.month, d.day, tzinfo=UTC)
+
+    # Datetime (may be naive)
+    dt = datetime.fromisoformat(raw)
+    if dt.tzinfo is None:
+        return dt.replace(tzinfo=UTC)
+    return dt.astimezone(UTC)
+
+
+def resolve_date_range(
+    start_date: datetime | None,
+    end_date: datetime | None,
+) -> tuple[datetime, datetime]:
+    """
+    Resolve a date range, defaulting to the last 2 years if not provided.
+    Ensures start_date <= end_date.
+
+    Args:
+        start_date: Optional start datetime (UTC)
+        end_date: Optional end datetime (UTC)
+
+    Returns:
+        Tuple of (resolved_start_date, resolved_end_date) in UTC
+    """
+    resolved_end = end_date or datetime.now(UTC)
+    resolved_start = start_date or (resolved_end - timedelta(days=730))
+
+    if resolved_start > resolved_end:
+        resolved_start, resolved_end = resolved_end, resolved_start
+
+    return resolved_start, resolved_end

From a4422c0ee466a0d90e0051fc3e6e170ccb699865 Mon Sep 17 00:00:00 2001
From: thierryverse 
Date: Fri, 19 Dec 2025 20:40:10 +0200
Subject: [PATCH 08/38] organize deepagent codebase

---
 .../app/agents/new_chat/__init__.py           |  17 +-
 .../app/agents/new_chat/chat_deepagent.py     | 295 +-----------------
 .../app/agents/new_chat/context.py            |  28 ++
 .../app/agents/new_chat/llm_config.py         | 104 ++++++
 .../app/agents/new_chat/new_chat_test.py      |   7 +-
 .../app/agents/new_chat/system_prompt.py      | 143 +++++++++
 6 files changed, 291 insertions(+), 303 deletions(-)
 create mode 100644 surfsense_backend/app/agents/new_chat/context.py
 create mode 100644 surfsense_backend/app/agents/new_chat/llm_config.py
 create mode 100644 surfsense_backend/app/agents/new_chat/system_prompt.py

diff --git a/surfsense_backend/app/agents/new_chat/__init__.py b/surfsense_backend/app/agents/new_chat/__init__.py
index 9f4d32bd2..5cbb7ce2b 100644
--- a/surfsense_backend/app/agents/new_chat/__init__.py
+++ b/surfsense_backend/app/agents/new_chat/__init__.py
@@ -1,19 +1,18 @@
 """Chat agents module."""
 
-from .chat_deepagent import (
-    SURFSENSE_CITATION_INSTRUCTIONS,
-    SURFSENSE_SYSTEM_PROMPT,
-    SurfSenseContextSchema,
-    build_surfsense_system_prompt,
-    create_chat_litellm_from_config,
-    create_surfsense_deep_agent,
-    load_llm_config_from_yaml,
-)
+from .chat_deepagent import create_surfsense_deep_agent
+from .context import SurfSenseContextSchema
 from .knowledge_base import (
     create_search_knowledge_base_tool,
     format_documents_for_context,
     search_knowledge_base_async,
 )
+from .llm_config import create_chat_litellm_from_config, load_llm_config_from_yaml
+from .system_prompt import (
+    SURFSENSE_CITATION_INSTRUCTIONS,
+    SURFSENSE_SYSTEM_PROMPT,
+    build_surfsense_system_prompt,
+)
 
 __all__ = [
     "SURFSENSE_CITATION_INSTRUCTIONS",
diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py
index b5a474657..eb2dac737 100644
--- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py
+++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py
@@ -1,305 +1,22 @@
 """
-Test script for create_deep_agent with ChatLiteLLM from global_llm_config.yaml
+SurfSense deep agent implementation.
 
-This demonstrates:
-1. Loading LLM config from global_llm_config.yaml
-2. Creating a ChatLiteLLM instance
-3. Using context_schema to add custom state fields
-4. Creating a search_knowledge_base tool similar to fetch_relevant_documents
+This module provides the factory function for creating SurfSense deep agents
+with knowledge base search capability.
 """
 
-import sys
 from collections.abc import Sequence
-from datetime import UTC, datetime
-from pathlib import Path
-from typing import TypedDict
 
-import yaml
 from deepagents import create_deep_agent
 from langchain_core.tools import BaseTool
 from langchain_litellm import ChatLiteLLM
 from sqlalchemy.ext.asyncio import AsyncSession
 
+from app.agents.new_chat.context import SurfSenseContextSchema
+from app.agents.new_chat.knowledge_base import create_search_knowledge_base_tool
+from app.agents.new_chat.system_prompt import build_surfsense_system_prompt
 from app.services.connector_service import ConnectorService
 
-from .knowledge_base import create_search_knowledge_base_tool
-
-# Add parent directory to path so 'app' module can be found when running directly
-_THIS_FILE = Path(__file__).resolve()
-_BACKEND_ROOT = _THIS_FILE.parent.parent.parent.parent  # surfsense_backend/
-if str(_BACKEND_ROOT) not in sys.path:
-    sys.path.insert(0, str(_BACKEND_ROOT))
-
-
-# =============================================================================
-# LLM Configuration Loading
-# =============================================================================
-
-
-def load_llm_config_from_yaml(llm_config_id: int = -1) -> dict | None:
-    """
-    Load a specific LLM config from global_llm_config.yaml.
-
-    Args:
-        llm_config_id: The id of the config to load (default: -1)
-
-    Returns:
-        LLM config dict or None if not found
-    """
-    # Get the config file path
-    base_dir = Path(__file__).resolve().parent.parent.parent.parent
-    config_file = base_dir / "app" / "config" / "global_llm_config.yaml"
-
-    # Fallback to example file if main config doesn't exist
-    if not config_file.exists():
-        config_file = base_dir / "app" / "config" / "global_llm_config.example.yaml"
-        if not config_file.exists():
-            print("Error: No global_llm_config.yaml or example file found")
-            return None
-
-    try:
-        with open(config_file, encoding="utf-8") as f:
-            data = yaml.safe_load(f)
-            configs = data.get("global_llm_configs", [])
-            for cfg in configs:
-                if isinstance(cfg, dict) and cfg.get("id") == llm_config_id:
-                    return cfg
-
-            print(f"Error: Global LLM config id {llm_config_id} not found")
-            return None
-    except Exception as e:
-        print(f"Error loading config: {e}")
-        return None
-
-
-def create_chat_litellm_from_config(llm_config: dict) -> ChatLiteLLM | None:
-    """
-    Create a ChatLiteLLM instance from a global LLM config.
-
-    Args:
-        llm_config: LLM configuration dictionary from YAML
-
-    Returns:
-        ChatLiteLLM instance or None on error
-    """
-    # Provider mapping (same as in llm_service.py)
-    provider_map = {
-        "OPENAI": "openai",
-        "ANTHROPIC": "anthropic",
-        "GROQ": "groq",
-        "COHERE": "cohere",
-        "GOOGLE": "gemini",
-        "OLLAMA": "ollama",
-        "MISTRAL": "mistral",
-        "AZURE_OPENAI": "azure",
-        "OPENROUTER": "openrouter",
-        "XAI": "xai",
-        "BEDROCK": "bedrock",
-        "VERTEX_AI": "vertex_ai",
-        "TOGETHER_AI": "together_ai",
-        "FIREWORKS_AI": "fireworks_ai",
-        "DEEPSEEK": "openai",
-        "ALIBABA_QWEN": "openai",
-        "MOONSHOT": "openai",
-        "ZHIPU": "openai",
-    }
-
-    # Build the model string
-    if llm_config.get("custom_provider"):
-        model_string = f"{llm_config['custom_provider']}/{llm_config['model_name']}"
-    else:
-        provider = llm_config.get("provider", "").upper()
-        provider_prefix = provider_map.get(provider, provider.lower())
-        model_string = f"{provider_prefix}/{llm_config['model_name']}"
-
-    # Create ChatLiteLLM instance
-    litellm_kwargs = {
-        "model": model_string,
-        "api_key": llm_config.get("api_key"),
-    }
-
-    # Add optional parameters
-    if llm_config.get("api_base"):
-        litellm_kwargs["api_base"] = llm_config["api_base"]
-
-    # Add any additional litellm parameters
-    if llm_config.get("litellm_params"):
-        litellm_kwargs.update(llm_config["litellm_params"])
-
-    return ChatLiteLLM(**litellm_kwargs)
-
-
-# =============================================================================
-# Custom Context Schema
-# =============================================================================
-
-
-class SurfSenseContextSchema(TypedDict):
-    """
-    Custom state schema for the SurfSense deep agent.
-
-    This extends the default agent state with custom fields.
-    The default state already includes:
-    - messages: Conversation history
-    - todos: Task list from TodoListMiddleware
-    - files: Virtual filesystem from FilesystemMiddleware
-
-    We're adding fields needed for knowledge base search:
-    - search_space_id: The user's search space ID
-    - db_session: Database session (injected at runtime)
-    - connector_service: Connector service instance (injected at runtime)
-    """
-
-    search_space_id: int
-    # These are runtime-injected and won't be serialized
-    # db_session and connector_service are passed when invoking the agent
-
-
-# =============================================================================
-# Citation Instructions
-# =============================================================================
-
-SURFSENSE_CITATION_INSTRUCTIONS = """
-
-CRITICAL CITATION REQUIREMENTS:
-
-1. For EVERY piece of information you include from the documents, add a citation in the format [citation:chunk_id] where chunk_id is the exact value from the `` tag inside ``.
-2. Make sure ALL factual statements from the documents have proper citations.
-3. If multiple chunks support the same point, include all relevant citations [citation:chunk_id1], [citation:chunk_id2].
-4. You MUST use the exact chunk_id values from the `` attributes. Do not create your own citation numbers.
-5. Every citation MUST be in the format [citation:chunk_id] where chunk_id is the exact chunk id value.
-6. Never modify or change the chunk_id - always use the original values exactly as provided in the chunk tags.
-7. Do not return citations as clickable links.
-8. Never format citations as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only.
-9. Citations must ONLY appear as [citation:chunk_id] or [citation:chunk_id1], [citation:chunk_id2] format - never with parentheses, hyperlinks, or other formatting.
-10. Never make up chunk IDs. Only use chunk_id values that are explicitly provided in the `` tags.
-11. If you are unsure about a chunk_id, do not include a citation rather than guessing or making one up.
-
-
-The documents you receive are structured like this:
-
-
-
-  42
-  GITHUB_CONNECTOR
-  <![CDATA[Some repo / file / issue title]]>
-  
-  
-
-
-
-  
-  
-
-
-
-IMPORTANT: You MUST cite using the chunk ids (e.g. 123, 124). Do NOT cite document_id.
-
-
-
-- Every fact from the documents must have a citation in the format [citation:chunk_id] where chunk_id is the EXACT id value from a `` tag
-- Citations should appear at the end of the sentence containing the information they support
-- Multiple citations should be separated by commas: [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3]
-- No need to return references section. Just citations in answer.
-- NEVER create your own citation format - use the exact chunk_id values from the documents in the [citation:chunk_id] format
-- NEVER format citations as clickable links or as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only
-- NEVER make up chunk IDs if you are unsure about the chunk_id. It is better to omit the citation than to guess
-
-
-
-CORRECT citation formats:
-- [citation:5]
-- [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3]
-
-INCORRECT citation formats (DO NOT use):
-- Using parentheses and markdown links: ([citation:5](https://github.com/MODSetter/SurfSense))
-- Using parentheses around brackets: ([citation:5])
-- Using hyperlinked text: [link to source 5](https://example.com)
-- Using footnote style: ... library¹
-- Making up source IDs when source_id is unknown
-- Using old IEEE format: [1], [2], [3]
-- Using source types instead of IDs: [citation:GITHUB_CONNECTOR] instead of [citation:5]
-
-
-
-Based on your GitHub repositories and video content, Python's asyncio library provides tools for writing concurrent code using the async/await syntax [citation:5]. It's particularly useful for I/O-bound and high-level structured network code [citation:5].
-
-The key advantage of asyncio is that it can improve performance by allowing other code to run while waiting for I/O operations to complete [citation:12]. This makes it excellent for scenarios like web scraping, API calls, database operations, or any situation where your program spends time waiting for external resources.
-
-However, from your video learning, it's important to note that asyncio is not suitable for CPU-bound tasks as it runs on a single thread [citation:12]. For computationally intensive work, you'd want to use multiprocessing instead.
-
-
-"""
-
-
-# =============================================================================
-# System Prompt
-# =============================================================================
-
-
-def build_surfsense_system_prompt(
-    today: datetime | None = None,
-    user_instructions: str | None = None,
-    enable_citations: bool = True,
-) -> str:
-    """
-    Build the SurfSense system prompt with optional user instructions and citation toggle.
-
-    Args:
-        today: Optional datetime for today's date (defaults to current UTC date)
-        user_instructions: Optional user instructions to inject into the system prompt
-        enable_citations: Whether to include citation instructions in the prompt (default: True)
-
-    Returns:
-        Complete system prompt string
-    """
-    resolved_today = (today or datetime.now(UTC)).astimezone(UTC).date().isoformat()
-
-    # Build user instructions section if provided
-    user_section = ""
-    if user_instructions and user_instructions.strip():
-        user_section = f"""
-
-{user_instructions.strip()}
-
-"""
-
-    # Include citation instructions only if enabled
-    citation_section = (
-        f"\n{SURFSENSE_CITATION_INSTRUCTIONS}" if enable_citations else ""
-    )
-
-    return f"""
-
-You are SurfSense, a reasoning and acting AI agent designed to answer user questions using the user's personal knowledge base.
-
-Today's date (UTC): {resolved_today}
-
-{user_section}
-
-You have access to the following tools:
-- search_knowledge_base: Search the user's personal knowledge base for relevant information.
-  - Args:
-    - query: The search query - be specific and include key terms
-    - top_k: Number of results to retrieve (default: 10)
-    - start_date: Optional ISO date/datetime (e.g. "2025-12-12" or "2025-12-12T00:00:00+00:00")
-    - end_date: Optional ISO date/datetime (e.g. "2025-12-19" or "2025-12-19T23:59:59+00:00")
-    - connectors_to_search: Optional list of connector enums to search. If omitted, searches all.
-  - Returns: Formatted string with relevant documents and their content
-
-
-- User: "Fetch all my notes and what's in them?"
-  - Call: `search_knowledge_base(query="*", top_k=50, connectors_to_search=["NOTE"])`
-
-- User: "What did I discuss on Slack last week about the React migration?"
-  - Call: `search_knowledge_base(query="React migration", connectors_to_search=["SLACK_CONNECTOR"], start_date="YYYY-MM-DD", end_date="YYYY-MM-DD")`
-{citation_section}
-"""
-
-
-SURFSENSE_SYSTEM_PROMPT = build_surfsense_system_prompt()
-
-
 # =============================================================================
 # Deep Agent Factory
 # =============================================================================
diff --git a/surfsense_backend/app/agents/new_chat/context.py b/surfsense_backend/app/agents/new_chat/context.py
new file mode 100644
index 000000000..da113adf4
--- /dev/null
+++ b/surfsense_backend/app/agents/new_chat/context.py
@@ -0,0 +1,28 @@
+"""
+Context schema definitions for SurfSense agents.
+
+This module defines the custom state schema used by the SurfSense deep agent.
+"""
+
+from typing import TypedDict
+
+
+class SurfSenseContextSchema(TypedDict):
+    """
+    Custom state schema for the SurfSense deep agent.
+
+    This extends the default agent state with custom fields.
+    The default state already includes:
+    - messages: Conversation history
+    - todos: Task list from TodoListMiddleware
+    - files: Virtual filesystem from FilesystemMiddleware
+
+    We're adding fields needed for knowledge base search:
+    - search_space_id: The user's search space ID
+    - db_session: Database session (injected at runtime)
+    - connector_service: Connector service instance (injected at runtime)
+    """
+
+    search_space_id: int
+    # These are runtime-injected and won't be serialized
+    # db_session and connector_service are passed when invoking the agent
diff --git a/surfsense_backend/app/agents/new_chat/llm_config.py b/surfsense_backend/app/agents/new_chat/llm_config.py
new file mode 100644
index 000000000..a99386df4
--- /dev/null
+++ b/surfsense_backend/app/agents/new_chat/llm_config.py
@@ -0,0 +1,104 @@
+"""
+LLM configuration utilities for SurfSense agents.
+
+This module provides functions for loading LLM configurations from YAML files
+and creating ChatLiteLLM instances from configuration dictionaries.
+"""
+
+from pathlib import Path
+
+import yaml
+from langchain_litellm import ChatLiteLLM
+
+
+def load_llm_config_from_yaml(llm_config_id: int = -1) -> dict | None:
+    """
+    Load a specific LLM config from global_llm_config.yaml.
+
+    Args:
+        llm_config_id: The id of the config to load (default: -1)
+
+    Returns:
+        LLM config dict or None if not found
+    """
+    # Get the config file path
+    base_dir = Path(__file__).resolve().parent.parent.parent.parent
+    config_file = base_dir / "app" / "config" / "global_llm_config.yaml"
+
+    # Fallback to example file if main config doesn't exist
+    if not config_file.exists():
+        config_file = base_dir / "app" / "config" / "global_llm_config.example.yaml"
+        if not config_file.exists():
+            print("Error: No global_llm_config.yaml or example file found")
+            return None
+
+    try:
+        with open(config_file, encoding="utf-8") as f:
+            data = yaml.safe_load(f)
+            configs = data.get("global_llm_configs", [])
+            for cfg in configs:
+                if isinstance(cfg, dict) and cfg.get("id") == llm_config_id:
+                    return cfg
+
+            print(f"Error: Global LLM config id {llm_config_id} not found")
+            return None
+    except Exception as e:
+        print(f"Error loading config: {e}")
+        return None
+
+
+def create_chat_litellm_from_config(llm_config: dict) -> ChatLiteLLM | None:
+    """
+    Create a ChatLiteLLM instance from a global LLM config.
+
+    Args:
+        llm_config: LLM configuration dictionary from YAML
+
+    Returns:
+        ChatLiteLLM instance or None on error
+    """
+    # Provider mapping (same as in llm_service.py)
+    provider_map = {
+        "OPENAI": "openai",
+        "ANTHROPIC": "anthropic",
+        "GROQ": "groq",
+        "COHERE": "cohere",
+        "GOOGLE": "gemini",
+        "OLLAMA": "ollama",
+        "MISTRAL": "mistral",
+        "AZURE_OPENAI": "azure",
+        "OPENROUTER": "openrouter",
+        "XAI": "xai",
+        "BEDROCK": "bedrock",
+        "VERTEX_AI": "vertex_ai",
+        "TOGETHER_AI": "together_ai",
+        "FIREWORKS_AI": "fireworks_ai",
+        "DEEPSEEK": "openai",
+        "ALIBABA_QWEN": "openai",
+        "MOONSHOT": "openai",
+        "ZHIPU": "openai",
+    }
+
+    # Build the model string
+    if llm_config.get("custom_provider"):
+        model_string = f"{llm_config['custom_provider']}/{llm_config['model_name']}"
+    else:
+        provider = llm_config.get("provider", "").upper()
+        provider_prefix = provider_map.get(provider, provider.lower())
+        model_string = f"{provider_prefix}/{llm_config['model_name']}"
+
+    # Create ChatLiteLLM instance
+    litellm_kwargs = {
+        "model": model_string,
+        "api_key": llm_config.get("api_key"),
+    }
+
+    # Add optional parameters
+    if llm_config.get("api_base"):
+        litellm_kwargs["api_base"] = llm_config["api_base"]
+
+    # Add any additional litellm parameters
+    if llm_config.get("litellm_params"):
+        litellm_kwargs.update(llm_config["litellm_params"])
+
+    return ChatLiteLLM(**litellm_kwargs)
diff --git a/surfsense_backend/app/agents/new_chat/new_chat_test.py b/surfsense_backend/app/agents/new_chat/new_chat_test.py
index 9178007a0..6a4e9bd02 100644
--- a/surfsense_backend/app/agents/new_chat/new_chat_test.py
+++ b/surfsense_backend/app/agents/new_chat/new_chat_test.py
@@ -11,11 +11,8 @@ from langchain_core.messages import HumanMessage
 from app.db import async_session_maker
 from app.services.connector_service import ConnectorService
 
-from .chat_deepagent import (
-    create_chat_litellm_from_config,
-    create_surfsense_deep_agent,
-    load_llm_config_from_yaml,
-)
+from .chat_deepagent import create_surfsense_deep_agent
+from .llm_config import create_chat_litellm_from_config, load_llm_config_from_yaml
 
 # =============================================================================
 # Test Runner
diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py
new file mode 100644
index 000000000..65a5b1203
--- /dev/null
+++ b/surfsense_backend/app/agents/new_chat/system_prompt.py
@@ -0,0 +1,143 @@
+"""
+System prompt building for SurfSense agents.
+
+This module provides functions and constants for building the SurfSense system prompt
+with configurable user instructions and citation support.
+"""
+
+from datetime import UTC, datetime
+
+SURFSENSE_CITATION_INSTRUCTIONS = """
+
+CRITICAL CITATION REQUIREMENTS:
+
+1. For EVERY piece of information you include from the documents, add a citation in the format [citation:chunk_id] where chunk_id is the exact value from the `` tag inside ``.
+2. Make sure ALL factual statements from the documents have proper citations.
+3. If multiple chunks support the same point, include all relevant citations [citation:chunk_id1], [citation:chunk_id2].
+4. You MUST use the exact chunk_id values from the `` attributes. Do not create your own citation numbers.
+5. Every citation MUST be in the format [citation:chunk_id] where chunk_id is the exact chunk id value.
+6. Never modify or change the chunk_id - always use the original values exactly as provided in the chunk tags.
+7. Do not return citations as clickable links.
+8. Never format citations as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only.
+9. Citations must ONLY appear as [citation:chunk_id] or [citation:chunk_id1], [citation:chunk_id2] format - never with parentheses, hyperlinks, or other formatting.
+10. Never make up chunk IDs. Only use chunk_id values that are explicitly provided in the `` tags.
+11. If you are unsure about a chunk_id, do not include a citation rather than guessing or making one up.
+
+
+The documents you receive are structured like this:
+
+
+
+  42
+  GITHUB_CONNECTOR
+  <![CDATA[Some repo / file / issue title]]>
+  
+  
+
+
+
+  
+  
+
+
+
+IMPORTANT: You MUST cite using the chunk ids (e.g. 123, 124). Do NOT cite document_id.
+
+
+
+- Every fact from the documents must have a citation in the format [citation:chunk_id] where chunk_id is the EXACT id value from a `` tag
+- Citations should appear at the end of the sentence containing the information they support
+- Multiple citations should be separated by commas: [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3]
+- No need to return references section. Just citations in answer.
+- NEVER create your own citation format - use the exact chunk_id values from the documents in the [citation:chunk_id] format
+- NEVER format citations as clickable links or as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only
+- NEVER make up chunk IDs if you are unsure about the chunk_id. It is better to omit the citation than to guess
+
+
+
+CORRECT citation formats:
+- [citation:5]
+- [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3]
+
+INCORRECT citation formats (DO NOT use):
+- Using parentheses and markdown links: ([citation:5](https://github.com/MODSetter/SurfSense))
+- Using parentheses around brackets: ([citation:5])
+- Using hyperlinked text: [link to source 5](https://example.com)
+- Using footnote style: ... library¹
+- Making up source IDs when source_id is unknown
+- Using old IEEE format: [1], [2], [3]
+- Using source types instead of IDs: [citation:GITHUB_CONNECTOR] instead of [citation:5]
+
+
+
+Based on your GitHub repositories and video content, Python's asyncio library provides tools for writing concurrent code using the async/await syntax [citation:5]. It's particularly useful for I/O-bound and high-level structured network code [citation:5].
+
+The key advantage of asyncio is that it can improve performance by allowing other code to run while waiting for I/O operations to complete [citation:12]. This makes it excellent for scenarios like web scraping, API calls, database operations, or any situation where your program spends time waiting for external resources.
+
+However, from your video learning, it's important to note that asyncio is not suitable for CPU-bound tasks as it runs on a single thread [citation:12]. For computationally intensive work, you'd want to use multiprocessing instead.
+
+
+"""
+
+
+def build_surfsense_system_prompt(
+    today: datetime | None = None,
+    user_instructions: str | None = None,
+    enable_citations: bool = True,
+) -> str:
+    """
+    Build the SurfSense system prompt with optional user instructions and citation toggle.
+
+    Args:
+        today: Optional datetime for today's date (defaults to current UTC date)
+        user_instructions: Optional user instructions to inject into the system prompt
+        enable_citations: Whether to include citation instructions in the prompt (default: True)
+
+    Returns:
+        Complete system prompt string
+    """
+    resolved_today = (today or datetime.now(UTC)).astimezone(UTC).date().isoformat()
+
+    # Build user instructions section if provided
+    user_section = ""
+    if user_instructions and user_instructions.strip():
+        user_section = f"""
+
+{user_instructions.strip()}
+
+"""
+
+    # Include citation instructions only if enabled
+    citation_section = (
+        f"\n{SURFSENSE_CITATION_INSTRUCTIONS}" if enable_citations else ""
+    )
+
+    return f"""
+
+You are SurfSense, a reasoning and acting AI agent designed to answer user questions using the user's personal knowledge base.
+
+Today's date (UTC): {resolved_today}
+
+{user_section}
+
+You have access to the following tools:
+- search_knowledge_base: Search the user's personal knowledge base for relevant information.
+  - Args:
+    - query: The search query - be specific and include key terms
+    - top_k: Number of results to retrieve (default: 10)
+    - start_date: Optional ISO date/datetime (e.g. "2025-12-12" or "2025-12-12T00:00:00+00:00")
+    - end_date: Optional ISO date/datetime (e.g. "2025-12-19" or "2025-12-19T23:59:59+00:00")
+    - connectors_to_search: Optional list of connector enums to search. If omitted, searches all.
+  - Returns: Formatted string with relevant documents and their content
+
+
+- User: "Fetch all my notes and what's in them?"
+  - Call: `search_knowledge_base(query="*", top_k=50, connectors_to_search=["NOTE"])`
+
+- User: "What did I discuss on Slack last week about the React migration?"
+  - Call: `search_knowledge_base(query="React migration", connectors_to_search=["SLACK_CONNECTOR"], start_date="YYYY-MM-DD", end_date="YYYY-MM-DD")`
+{citation_section}
+"""
+
+
+SURFSENSE_SYSTEM_PROMPT = build_surfsense_system_prompt()

From efe702607d787415d2f402720a2a33903efcb9ac Mon Sep 17 00:00:00 2001
From: CREDO23 
Date: Sat, 20 Dec 2025 18:39:27 +0200
Subject: [PATCH 09/38] fix pnpm lock file

---
 surfsense_web/pnpm-lock.yaml | 14560 +++++++++++++++++++++++++++++++++
 1 file changed, 14560 insertions(+)

diff --git a/surfsense_web/pnpm-lock.yaml b/surfsense_web/pnpm-lock.yaml
index e69de29bb..1cd16ec3f 100644
--- a/surfsense_web/pnpm-lock.yaml
+++ b/surfsense_web/pnpm-lock.yaml
@@ -0,0 +1,14560 @@
+lockfileVersion: '9.0'
+
+settings:
+  autoInstallPeers: true
+  excludeLinksFromLockfile: false
+
+importers:
+
+  .:
+    dependencies:
+      '@ai-sdk/react':
+        specifier: ^1.2.12
+        version: 1.2.12(react@19.2.3)(zod@4.2.1)
+      '@assistant-ui/react':
+        specifier: ^0.11.52
+        version: 0.11.52(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(use-sync-external-store@1.6.0(react@19.2.3))
+      '@assistant-ui/react-ai-sdk':
+        specifier: ^1.1.19
+        version: 1.1.19(@assistant-ui/react@0.11.52(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(use-sync-external-store@1.6.0(react@19.2.3)))(@types/react@19.2.7)(assistant-cloud@0.1.11)(react@19.2.3)(use-sync-external-store@1.6.0(react@19.2.3))
+      '@assistant-ui/react-markdown':
+        specifier: ^0.11.8
+        version: 0.11.8(@assistant-ui/react@0.11.52(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(use-sync-external-store@1.6.0(react@19.2.3)))(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@blocknote/core':
+        specifier: ^0.45.0
+        version: 0.45.0(@tiptap/extensions@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(highlight.js@11.11.1)
+      '@blocknote/mantine':
+        specifier: ^0.45.0
+        version: 0.45.0(@floating-ui/dom@1.7.4)(@mantine/core@8.3.10(@mantine/hooks@8.3.10(react@19.2.3))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(@mantine/hooks@8.3.10(react@19.2.3))(@mantine/utils@6.0.22(react@19.2.3))(@tiptap/extensions@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@blocknote/react':
+        specifier: ^0.45.0
+        version: 0.45.0(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(highlight.js@11.11.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@blocknote/server-util':
+        specifier: ^0.45.0
+        version: 0.45.0(@floating-ui/dom@1.7.4)(@tiptap/extensions@3.14.0(@tiptap/core@3.14.0(@tiptap/pm@3.14.0))(@tiptap/pm@3.14.0))(@types/hast@3.0.4)(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(highlight.js@11.11.1)(prosemirror-model@1.25.4)(prosemirror-state@1.4.4)(prosemirror-view@1.41.4)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@hookform/resolvers':
+        specifier: ^5.2.2
+        version: 5.2.2(react-hook-form@7.69.0(react@19.2.3))
+      '@llamaindex/chat-ui':
+        specifier: ^0.5.17
+        version: 0.5.17(@babel/runtime@7.28.4)(@codemirror/autocomplete@6.20.0)(@codemirror/language@6.11.3)(@codemirror/lint@6.9.2)(@codemirror/search@6.5.11)(@codemirror/state@6.5.2)(@codemirror/theme-one-dark@6.1.3)(@codemirror/view@6.39.4)(@lezer/highlight@1.2.3)(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(codemirror@6.0.2)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(yjs@13.6.28)
+      '@next/third-parties':
+        specifier: ^16.1.0
+        version: 16.1.0(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3)
+      '@number-flow/react':
+        specifier: ^0.5.10
+        version: 0.5.10(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-accordion':
+        specifier: ^1.2.11
+        version: 1.2.12(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-alert-dialog':
+        specifier: ^1.1.14
+        version: 1.1.15(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-avatar':
+        specifier: ^1.1.10
+        version: 1.1.11(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-checkbox':
+        specifier: ^1.3.2
+        version: 1.3.3(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-collapsible':
+        specifier: ^1.1.11
+        version: 1.1.12(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-dialog':
+        specifier: ^1.1.15
+        version: 1.1.15(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-dropdown-menu':
+        specifier: ^2.1.15
+        version: 2.1.16(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-label':
+        specifier: ^2.1.7
+        version: 2.1.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-popover':
+        specifier: ^1.1.14
+        version: 1.1.15(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-radio-group':
+        specifier: ^1.3.8
+        version: 1.3.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-scroll-area':
+        specifier: ^1.2.9
+        version: 1.2.10(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-select':
+        specifier: ^2.2.5
+        version: 2.2.6(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-separator':
+        specifier: ^1.1.7
+        version: 1.1.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-slider':
+        specifier: ^1.3.5
+        version: 1.3.6(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-slot':
+        specifier: ^1.2.3
+        version: 1.2.4(@types/react@19.2.7)(react@19.2.3)
+      '@radix-ui/react-switch':
+        specifier: ^1.2.6
+        version: 1.2.6(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-tabs':
+        specifier: ^1.1.12
+        version: 1.1.13(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-toggle':
+        specifier: ^1.1.9
+        version: 1.1.10(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-toggle-group':
+        specifier: ^1.1.10
+        version: 1.1.11(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@radix-ui/react-tooltip':
+        specifier: ^1.2.7
+        version: 1.2.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@tabler/icons-react':
+        specifier: ^3.34.1
+        version: 3.36.0(react@19.2.3)
+      '@tanstack/query-core':
+        specifier: ^5.90.7
+        version: 5.90.12
+      '@tanstack/react-query':
+        specifier: ^5.90.7
+        version: 5.90.12(react@19.2.3)
+      '@tanstack/react-query-devtools':
+        specifier: ^5.90.2
+        version: 5.91.1(@tanstack/react-query@5.90.12(react@19.2.3))(react@19.2.3)
+      '@tanstack/react-table':
+        specifier: ^8.21.3
+        version: 8.21.3(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      '@types/mdx':
+        specifier: ^2.0.13
+        version: 2.0.13
+      '@types/react-syntax-highlighter':
+        specifier: ^15.5.13
+        version: 15.5.13
+      ai:
+        specifier: ^4.3.19
+        version: 4.3.19(react@19.2.3)(zod@4.2.1)
+      canvas-confetti:
+        specifier: ^1.9.3
+        version: 1.9.4
+      class-variance-authority:
+        specifier: ^0.7.1
+        version: 0.7.1
+      clsx:
+        specifier: ^2.1.1
+        version: 2.1.1
+      cmdk:
+        specifier: ^1.1.1
+        version: 1.1.1(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      date-fns:
+        specifier: ^4.1.0
+        version: 4.1.0
+      dotenv:
+        specifier: ^17.2.3
+        version: 17.2.3
+      drizzle-orm:
+        specifier: ^0.44.5
+        version: 0.44.7(@opentelemetry/api@1.9.0)(@types/pg@8.16.0)(pg@8.16.3)(postgres@3.4.7)
+      emblor:
+        specifier: ^1.4.8
+        version: 1.4.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      fumadocs-core:
+        specifier: ^16.3.1
+        version: 16.3.1(@types/react@19.2.7)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(zod@4.2.1)
+      fumadocs-mdx:
+        specifier: ^14.2.1
+        version: 14.2.1(fumadocs-core@16.3.1(@types/react@19.2.7)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(zod@4.2.1))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3)
+      fumadocs-ui:
+        specifier: ^16.3.1
+        version: 16.3.1(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(lucide-react@0.477.0(react@19.2.3))(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react-dom@19.2.3(react@19.2.3))(react@19.2.3)(tailwindcss@4.1.18)(zod@4.2.1)
+      geist:
+        specifier: ^1.4.2
+        version: 1.5.1(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))
+      jotai:
+        specifier: ^2.15.1
+        version: 2.16.0(@types/react@19.2.7)(react@19.2.3)
+      jotai-tanstack-query:
+        specifier: ^0.11.0
+        version: 0.11.0(@tanstack/query-core@5.90.12)(@tanstack/react-query@5.90.12(react@19.2.3))(jotai@2.16.0(@types/react@19.2.7)(react@19.2.3))(react@19.2.3)
+      lucide-react:
+        specifier: ^0.477.0
+        version: 0.477.0(react@19.2.3)
+      motion:
+        specifier: ^12.23.22
+        version: 12.23.26(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      next:
+        specifier: ^16.1.0
+        version: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      next-intl:
+        specifier: ^4.6.1
+        version: 4.6.1(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3))(react@19.2.3)(typescript@5.9.3)
+      next-themes:
+        specifier: ^0.4.6
+        version: 0.4.6(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      pg:
+        specifier: ^8.16.3
+        version: 8.16.3
+      postgres:
+        specifier: ^3.4.7
+        version: 3.4.7
+      react:
+        specifier: ^19.2.3
+        version: 19.2.3
+      react-day-picker:
+        specifier: ^9.8.1
+        version: 9.13.0(react@19.2.3)
+      react-dom:
+        specifier: ^19.2.3
+        version: 19.2.3(react@19.2.3)
+      react-dropzone:
+        specifier: ^14.3.8
+        version: 14.3.8(react@19.2.3)
+      react-hook-form:
+        specifier: ^7.61.1
+        version: 7.69.0(react@19.2.3)
+      react-json-view:
+        specifier: ^1.21.3
+        version: 1.21.3(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      react-json-view-lite:
+        specifier: ^2.4.1
+        version: 2.5.0(react@19.2.3)
+      react-markdown:
+        specifier: ^10.1.0
+        version: 10.1.0(@types/react@19.2.7)(react@19.2.3)
+      react-rough-notation:
+        specifier: ^1.0.8
+        version: 1.0.8(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      react-syntax-highlighter:
+        specifier: ^15.6.1
+        version: 15.6.6(react@19.2.3)
+      react-wrap-balancer:
+        specifier: ^1.1.1
+        version: 1.1.1(react@19.2.3)
+      rehype-raw:
+        specifier: ^7.0.0
+        version: 7.0.0
+      rehype-sanitize:
+        specifier: ^6.0.0
+        version: 6.0.0
+      remark-gfm:
+        specifier: ^4.0.1
+        version: 4.0.1
+      server-only:
+        specifier: ^0.0.1
+        version: 0.0.1
+      sonner:
+        specifier: ^2.0.6
+        version: 2.0.7(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
+      tailwind-merge:
+        specifier: ^3.3.1
+        version: 3.4.0
+      tailwindcss-animate:
+        specifier: ^1.0.7
+        version: 1.0.7(tailwindcss@4.1.18)
+      zod:
+        specifier: ^4.2.1
+        version: 4.2.1
+    devDependencies:
+      '@biomejs/biome':
+        specifier: 2.1.2
+        version: 2.1.2
+      '@eslint/eslintrc':
+        specifier: ^3.3.1
+        version: 3.3.3
+      '@tailwindcss/postcss':
+        specifier: ^4.1.11
+        version: 4.1.18
+      '@tailwindcss/typography':
+        specifier: ^0.5.16
+        version: 0.5.19(tailwindcss@4.1.18)
+      '@types/canvas-confetti':
+        specifier: ^1.9.0
+        version: 1.9.0
+      '@types/node':
+        specifier: ^20.19.9
+        version: 20.19.27
+      '@types/pg':
+        specifier: ^8.15.5
+        version: 8.16.0
+      '@types/react':
+        specifier: ^19.1.8
+        version: 19.2.7
+      '@types/react-dom':
+        specifier: ^19.1.6
+        version: 19.2.3(@types/react@19.2.7)
+      cross-env:
+        specifier: ^7.0.3
+        version: 7.0.3
+      drizzle-kit:
+        specifier: ^0.31.5
+        version: 0.31.8
+      eslint:
+        specifier: ^9.32.0
+        version: 9.39.2(jiti@2.6.1)
+      eslint-config-next:
+        specifier: 15.2.0
+        version: 15.2.0(eslint@9.39.2(jiti@2.6.1))(typescript@5.9.3)
+      tailwindcss:
+        specifier: ^4.1.11
+        version: 4.1.18
+      tsx:
+        specifier: ^4.20.6
+        version: 4.21.0
+      typescript:
+        specifier: ^5.8.3
+        version: 5.9.3
+
+packages:
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+      zod: 4.2.1
+
+  zod@4.2.1: {}
+
+  zustand@5.0.9(@types/react@19.2.7)(react@19.2.3)(use-sync-external-store@1.6.0(react@19.2.3)):
+    optionalDependencies:
+      '@types/react': 19.2.7
+      react: 19.2.3
+      use-sync-external-store: 1.6.0(react@19.2.3)
+
+  zwitch@2.0.4: {}

From 947087452fd731fa4f604677cc27134eef0c5df8 Mon Sep 17 00:00:00 2001
From: "DESKTOP-RTLN3BA\\$punk" 
Date: Sat, 20 Dec 2025 23:15:49 -0800
Subject: [PATCH 10/38] feat:  new chat working stateless. Added citation
 logic.

---
 .../app/agents/new_chat/llm_config.py         |   3 +-
 .../app/tasks/chat/stream_new_chat.py         |   3 +-
 surfsense_web/app/api/chat/route.ts           |  74 --------
 .../new-chat/[[...chat_id]]/page.tsx          |  39 +++-
 .../assistant-ui/inline-citation.tsx          |  47 +++++
 .../components/assistant-ui/markdown-text.tsx | 158 ++++++++++++++---
 .../components/assistant-ui/thread.tsx        |   2 +-
 surfsense_web/lib/chat/new-chat-transport.ts  | 167 ++++++++++++++++++
 surfsense_web/package.json                    |  10 +-
 surfsense_web/pnpm-lock.yaml                  |  98 +++++-----
 10 files changed, 441 insertions(+), 160 deletions(-)
 delete mode 100644 surfsense_web/app/api/chat/route.ts
 create mode 100644 surfsense_web/components/assistant-ui/inline-citation.tsx
 create mode 100644 surfsense_web/lib/chat/new-chat-transport.ts

diff --git a/surfsense_backend/app/agents/new_chat/llm_config.py b/surfsense_backend/app/agents/new_chat/llm_config.py
index a99386df4..b6b406a38 100644
--- a/surfsense_backend/app/agents/new_chat/llm_config.py
+++ b/surfsense_backend/app/agents/new_chat/llm_config.py
@@ -87,10 +87,11 @@ def create_chat_litellm_from_config(llm_config: dict) -> ChatLiteLLM | None:
         provider_prefix = provider_map.get(provider, provider.lower())
         model_string = f"{provider_prefix}/{llm_config['model_name']}"
 
-    # Create ChatLiteLLM instance
+    # Create ChatLiteLLM instance with streaming enabled
     litellm_kwargs = {
         "model": model_string,
         "api_key": llm_config.get("api_key"),
+        "streaming": True,  # Enable streaming for real-time token streaming
     }
 
     # Add optional parameters
diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py
index 04f3f97c3..7f97643dc 100644
--- a/surfsense_backend/app/tasks/chat/stream_new_chat.py
+++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py
@@ -12,10 +12,9 @@ from langchain_core.messages import HumanMessage
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from app.agents.new_chat.chat_deepagent import (
-    create_chat_litellm_from_config,
     create_surfsense_deep_agent,
-    load_llm_config_from_yaml,
 )
+from app.agents.new_chat.llm_config import create_chat_litellm_from_config, load_llm_config_from_yaml
 from app.services.connector_service import ConnectorService
 from app.services.new_streaming_service import VercelStreamingService
 
diff --git a/surfsense_web/app/api/chat/route.ts b/surfsense_web/app/api/chat/route.ts
deleted file mode 100644
index 1b8b602cb..000000000
--- a/surfsense_web/app/api/chat/route.ts
+++ /dev/null
@@ -1,74 +0,0 @@
-import type { UIMessage } from "ai";
-
-export const maxDuration = 30;
-
-export async function POST(req: Request) {
-	try {
-		const body = await req.json();
-		const {
-			messages,
-			chat_id,
-			search_space_id,
-		}: {
-			messages: UIMessage[];
-			chat_id?: number;
-			search_space_id?: number;
-		} = body;
-
-		// Get auth token from headers
-		const authHeader = req.headers.get("authorization");
-		if (!authHeader) {
-			return new Response("Unauthorized", { status: 401 });
-		}
-
-		// Get the last user message
-		const lastUserMessage = messages.filter((m) => m.role === "user").pop();
-
-		if (!lastUserMessage) {
-			return new Response("No user message found", { status: 400 });
-		}
-
-		// Extract text content from the message
-		const userQuery =
-			typeof lastUserMessage.content === "string"
-				? lastUserMessage.content
-				: lastUserMessage.content
-						.filter((c: any) => c.type === "text")
-						.map((c: any) => c.text)
-						.join(" ");
-
-		// Call the DeepAgent backend
-		const backendUrl = process.env.NEXT_PUBLIC_API_URL || "http://localhost:8000";
-		const response = await fetch(`${backendUrl}/api/v1/new_chat`, {
-			method: "POST",
-			headers: {
-				"Content-Type": "application/json",
-				Authorization: authHeader,
-			},
-			body: JSON.stringify({
-				chat_id: chat_id || 0,
-				user_query: userQuery,
-				search_space_id: search_space_id || 0,
-			}),
-		});
-
-		if (!response.ok) {
-			return new Response(`Backend error: ${response.statusText}`, {
-				status: response.status,
-			});
-		}
-
-		// The backend returns SSE stream with Vercel AI SDK Data Stream Protocol
-		// We need to forward this stream to the client
-		return new Response(response.body, {
-			headers: {
-				"Content-Type": "text/event-stream",
-				"Cache-Control": "no-cache",
-				Connection: "keep-alive",
-			},
-		});
-	} catch (error) {
-		console.error("Error in deep-agent-chat route:", error);
-		return new Response("Internal Server Error", { status: 500 });
-	}
-}
diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx
index bcaae2a10..86ed4974f 100644
--- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx
+++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx
@@ -1,17 +1,44 @@
 "use client";
 
-import { AssistantRuntimeProvider } from "@assistant-ui/react";
-import { useChatRuntime } from "@assistant-ui/react-ai-sdk";
+import { AssistantRuntimeProvider, useLocalRuntime } from "@assistant-ui/react";
+import { useParams } from "next/navigation";
+import { useMemo } from "react";
 import { Thread } from "@/components/assistant-ui/thread";
+import { createNewChatAdapter } from "@/lib/chat/new-chat-transport";
 
 export default function NewChatPage() {
-	// Using the official assistant-ui pattern - useChatRuntime with NO parameters
-	// It defaults to /api/chat endpoint
-	const runtime = useChatRuntime();
+	const params = useParams();
+
+	// Extract search_space_id and chat_id from URL params
+	const searchSpaceId = useMemo(() => {
+		const id = params.search_space_id;
+		const parsed = typeof id === "string" ? Number.parseInt(id, 10) : 0;
+		return Number.isNaN(parsed) ? 0 : parsed;
+	}, [params.search_space_id]);
+
+	const chatId = useMemo(() => {
+		const id = params.chat_id;
+		let parsed = 0;
+		if (Array.isArray(id) && id.length > 0) {
+			parsed = Number.parseInt(id[0], 10);
+		} else if (typeof id === "string") {
+			parsed = Number.parseInt(id, 10);
+		}
+		return Number.isNaN(parsed) ? 0 : parsed;
+	}, [params.chat_id]);
+
+	// Create the adapter with the extracted params
+	const adapter = useMemo(
+		() => createNewChatAdapter({ searchSpaceId, chatId }),
+		[searchSpaceId, chatId]
+	);
+
+	// Use LocalRuntime with our custom adapter
+	const runtime = useLocalRuntime(adapter);
 
 	return (
 		
-			
      
+			
      
 				
 			
      
 		
diff --git a/surfsense_web/components/assistant-ui/inline-citation.tsx b/surfsense_web/components/assistant-ui/inline-citation.tsx
new file mode 100644
index 000000000..3f589a1b9
--- /dev/null
+++ b/surfsense_web/components/assistant-ui/inline-citation.tsx
@@ -0,0 +1,47 @@
+"use client";
+
+import type { FC } from "react";
+import { useState } from "react";
+import { SheetTrigger } from "@/components/ui/sheet";
+import { SourceDetailSheet } from "@/components/chat/SourceDetailSheet";
+
+interface InlineCitationProps {
+	chunkId: number;
+}
+
+/**
+ * Inline citation component for the new chat.
+ * Renders a clickable badge that opens the SourceDetailSheet with document chunk details.
+ */
+export const InlineCitation: FC = ({ chunkId }) => {
+	const [isOpen, setIsOpen] = useState(false);
+
+	return (
+		
+			
+				
+					
+						
+						
+					
+				
+			
+		
+	);
+};
diff --git a/surfsense_web/components/assistant-ui/markdown-text.tsx b/surfsense_web/components/assistant-ui/markdown-text.tsx
index 2513a0928..87043d5a4 100644
--- a/surfsense_web/components/assistant-ui/markdown-text.tsx
+++ b/surfsense_web/components/assistant-ui/markdown-text.tsx
@@ -9,12 +9,52 @@ import {
 	useIsMarkdownCodeBlock,
 } from "@assistant-ui/react-markdown";
 import { CheckIcon, CopyIcon } from "lucide-react";
-import { type FC, memo, useState } from "react";
+import { type FC, type ReactNode, memo, useState } from "react";
 import remarkGfm from "remark-gfm";
 
 import { TooltipIconButton } from "@/components/assistant-ui/tooltip-icon-button";
+import { InlineCitation } from "@/components/assistant-ui/inline-citation";
 import { cn } from "@/lib/utils";
 
+// Citation pattern: [citation:CHUNK_ID]
+const CITATION_REGEX = /\[citation:(\d+)\]/g;
+
+/**
+ * Parses text and replaces [citation:XXX] patterns with InlineCitation components
+ */
+function parseTextWithCitations(text: string): ReactNode[] {
+	const parts: ReactNode[] = [];
+	let lastIndex = 0;
+	let match: RegExpExecArray | null;
+	let citationIndex = 0;
+
+	// Reset regex state
+	CITATION_REGEX.lastIndex = 0;
+
+	while ((match = CITATION_REGEX.exec(text)) !== null) {
+		// Add text before the citation
+		if (match.index > lastIndex) {
+			parts.push(text.substring(lastIndex, match.index));
+		}
+
+		// Add the citation component
+		const chunkId = Number.parseInt(match[1], 10);
+		parts.push(
+			
+		);
+
+		lastIndex = match.index + match[0].length;
+		citationIndex++;
+	}
+
+	// Add any remaining text after the last citation
+	if (lastIndex < text.length) {
+		parts.push(text.substring(lastIndex));
+	}
+
+	return parts.length > 0 ? parts : [text];
+}
+
 const MarkdownTextImpl = () => {
 	return (
 		{parsed};
+	}
+
+	if (Array.isArray(children)) {
+		return children.map((child, index) => {
+			if (typeof child === "string") {
+				const parsed = parseTextWithCitations(child);
+				return parsed.length === 1 && typeof parsed[0] === "string" ? (
+					child
+				) : (
+					{parsed}
+				);
+			}
+			return child;
+		});
+	}
+
+	return children;
+}
+
 const defaultComponents = memoizeMarkdownComponents({
-	h1: ({ className, ...props }) => (
+	h1: ({ className, children, ...props }) => (
 		
      
+		>
+			{processChildrenWithCitations(children)}
+		
      
 	),
-	h2: ({ className, ...props }) => (
+	h2: ({ className, children, ...props }) => (
 		
      
+		>
+			{processChildrenWithCitations(children)}
+		
      
 	),
-	h3: ({ className, ...props }) => (
+	h3: ({ className, children, ...props }) => (
 		
      
+		>
+			{processChildrenWithCitations(children)}
+		
      
 	),
-	h4: ({ className, ...props }) => (
+	h4: ({ className, children, ...props }) => (
 		
      
+		>
+			{processChildrenWithCitations(children)}
+		
      
 	),
-	h5: ({ className, ...props }) => (
+	h5: ({ className, children, ...props }) => (
 		
      
+		>
+			{processChildrenWithCitations(children)}
+		
      
 	),
-	h6: ({ className, ...props }) => (
-		
      
+	h6: ({ className, children, ...props }) => (
+		
      
+			{processChildrenWithCitations(children)}
+		
      
 	),
-	p: ({ className, ...props }) => (
-		
      
+	p: ({ className, children, ...props }) => (
+		
      
+			{processChildrenWithCitations(children)}
+		
      
 	),
-	a: ({ className, ...props }) => (
+	a: ({ className, children, ...props }) => (
 		
+		>
+			{processChildrenWithCitations(children)}
+		
 	),
-	blockquote: ({ className, ...props }) => (
-		
      
+	blockquote: ({ className, children, ...props }) => (
+		
      
+			{processChildrenWithCitations(children)}
+		
      
 	),
 	ul: ({ className, ...props }) => (
 		
        li]:mt-2", className)} {...props} />
@@ -124,6 +217,11 @@ const defaultComponents = memoizeMarkdownComponents({
 	ol: ({ className, ...props }) => (
 		
          li]:mt-2", className)} {...props} />
 	),
+	li: ({ className, children, ...props }) => (
+		
        1. 
+			{processChildrenWithCitations(children)}
+		
          2. 
+	),
 	hr: ({ className, ...props }) => (
 		
          
 	),
@@ -136,23 +234,27 @@ const defaultComponents = memoizeMarkdownComponents({
 			{...props}
 		/>
 	),
-	th: ({ className, ...props }) => (
+	th: ({ className, children, ...props }) => (
      ), - td: ({ className, ...props }) => ( + td: ({ className, children, ...props }) => ( ), tr: ({ className, ...props }) => ( ); }, + strong: ({ className, children, ...props }) => ( + + {processChildrenWithCitations(children)} + + ), + em: ({ className, children, ...props }) => ( + + {processChildrenWithCitations(children)} + + ), CodeHeader, }); diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index 26ee44872..c2dab7b3c 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -118,7 +118,7 @@ const ThreadSuggestions: FC = () => { className="aui-thread-welcome-suggestion-display fade-in slide-in-from-bottom-2 @md:nth-[n+3]:block nth-[n+3]:hidden animate-in fill-mode-both duration-200" style={{ animationDelay: `${100 + index * 50}ms` }} > - +
      + ), + td: ({ className, ...props }) => ( + + ), + tr: ({ className, ...props }) => ( +
      + > + {processChildrenWithCitations(children)} + + > + {processChildrenWithCitations(children)} +
      - - ), - th: ({ node, ...props }: any) => ( -
      - ), - td: ({ node, ...props }: any) => ( - - ), - code: ({ node, className, children, ...props }: any) => { - const match = /language-(\w+)/.exec(className || ""); - const language = match ? match[1] : ""; - const isInline = !match; + const components: Components = { + // Define custom components for markdown elements + p: ({ children, ...props }) => ( +

      + {children} +

      + ), + a: ({ children, ...props }) => ( + + {children} + + ), + li: ({ children, ...props }) =>
    1. {children}
      2. , + ul: ({ ...props }) =>
        , + ol: ({ ...props }) =>
          , + h1: ({ children, ...props }) => ( +

          + {children} +

          + ), + h2: ({ children, ...props }) => ( +

          + {children} +

          + ), + h3: ({ children, ...props }) => ( +

          + {children} +

          + ), + h4: ({ children, ...props }) => ( +

          + {children} +

          + ), + blockquote: ({ ...props }) => ( +
          + ), + hr: ({ ...props }) =>
          , + img: ({ src, alt, width: _w, height: _h, ...props }) => ( + {alt + ), + table: ({ ...props }) => ( +
          + + + ), + th: ({ ...props }) => ( +
          + ), + td: ({ ...props }) => ( + + ), + code: ({ className, children, ...props }) => { + const match = /language-(\w+)/.exec(className || ""); + const isInline = !match; - if (isInline) { - return ( - - {children} - - ); - } - - // For code blocks, add syntax highlighting and copy functionality + if (isInline) { return ( - - {String(children).replace(/\n$/, "")} - + + {children} + ); - }, - }; - }, []); + } + + // For code blocks, let Streamdown handle syntax highlighting + return ( + + {children} + + ); + }, + }; return ( -
          - + {content} - +
          ); } - -// Code block component with syntax highlighting and copy functionality -const CodeBlock = ({ children, language }: { children: string; language: string }) => { - const [copied, setCopied] = useState(false); - const { resolvedTheme, theme } = useTheme(); - const [mounted, setMounted] = useState(false); - - // Prevent hydration issues - useEffect(() => { - setMounted(true); - }, []); - - const handleCopy = async () => { - await navigator.clipboard.writeText(children); - setCopied(true); - setTimeout(() => setCopied(false), 2000); - }; - - // Choose theme based on current system/user preference - const isDarkTheme = mounted && (resolvedTheme === "dark" || theme === "dark"); - const syntaxTheme = isDarkTheme ? oneDark : oneLight; - - return ( -
          -
          - -
          - {mounted ? ( - - {children} - - ) : ( -
          - 
          -						{children}
-
          -
          - )} -
          - ); -}; diff --git a/surfsense_web/components/new-chat/source-detail-panel.tsx b/surfsense_web/components/new-chat/source-detail-panel.tsx new file mode 100644 index 000000000..5ed86be7f --- /dev/null +++ b/surfsense_web/components/new-chat/source-detail-panel.tsx @@ -0,0 +1,546 @@ +"use client"; + +import { useQuery } from "@tanstack/react-query"; +import { AnimatePresence, motion, useReducedMotion } from "motion/react"; +import { + ChevronDown, + ChevronUp, + ExternalLink, + Loader2, + X, + FileText, + Hash, + BookOpen, + Sparkles, +} from "lucide-react"; +import type React from "react"; +import { type ReactNode, useCallback, useEffect, useRef, useState } from "react"; +import { createPortal } from "react-dom"; +import { MarkdownViewer } from "@/components/markdown-viewer"; +import { Button } from "@/components/ui/button"; +import { Collapsible, CollapsibleContent, CollapsibleTrigger } from "@/components/ui/collapsible"; +import { ScrollArea } from "@/components/ui/scroll-area"; +import { Badge } from "@/components/ui/badge"; +import { documentsApiService } from "@/lib/apis/documents-api.service"; +import { cacheKeys } from "@/lib/query-client/cache-keys"; +import { cn } from "@/lib/utils"; + +interface SourceDetailPanelProps { + open: boolean; + onOpenChange: (open: boolean) => void; + chunkId: number; + sourceType: string; + title: string; + description?: string; + url?: string; + children?: ReactNode; +} + +const formatDocumentType = (type: string) => { + if (!type) return ""; + return type + .split("_") + .map((word) => word.charAt(0) + word.slice(1).toLowerCase()) + .join(" "); +}; + +// Chunk card component with enhanced animations +const ChunkCard = ({ + chunk, + index, + totalChunks, + isCited, + isActive, +}: { + chunk: { id: number; content: string }; + index: number; + totalChunks: number; + isCited: boolean; + isActive: boolean; +}) => { + const shouldReduceMotion = useReducedMotion(); + + return ( + + {/* Cited indicator glow effect */} + {isCited && ( +
          + )} + + {/* Header */} +
          +
          +
          + {index + 1} +
          + + of {totalChunks} chunks + +
          + {isCited && ( + + + + Cited Source + + + )} +
          + + {/* Content */} +
          + +
          + + ); +}; + +export function SourceDetailPanel({ + open, + onOpenChange, + chunkId, + sourceType, + title, + description, + url, + children, +}: SourceDetailPanelProps) { + const scrollAreaRef = useRef(null); + const [summaryOpen, setSummaryOpen] = useState(false); + const [activeChunkIndex, setActiveChunkIndex] = useState(null); + const [mounted, setMounted] = useState(false); + const [hasScrolledToCited, setHasScrolledToCited] = useState(false); + const shouldReduceMotion = useReducedMotion(); + + useEffect(() => { + setMounted(true); + }, []); + + const { + data: documentData, + isLoading: isDocumentByChunkFetching, + error: documentByChunkFetchingError, + } = useQuery({ + queryKey: cacheKeys.documents.byChunk(chunkId.toString()), + queryFn: () => documentsApiService.getDocumentByChunk({ chunk_id: chunkId }), + enabled: !!chunkId && open, + staleTime: 5 * 60 * 1000, + }); + + const isDirectRenderSource = + sourceType === "TAVILY_API" || + sourceType === "LINKUP_API" || + sourceType === "SEARXNG_API" || + sourceType === "BAIDU_SEARCH_API"; + + // Find cited chunk index + const citedChunkIndex = documentData?.chunks?.findIndex((chunk) => chunk.id === chunkId) ?? -1; + + // Auto-scroll to cited chunk when data loads + useEffect(() => { + if (documentData?.chunks && citedChunkIndex !== -1 && !hasScrolledToCited && open) { + // Wait for animations to complete then scroll + const timer = setTimeout(() => { + const chunkElement = scrollAreaRef.current?.querySelector( + `[data-chunk-index="${citedChunkIndex}"]` + ); + if (chunkElement) { + chunkElement.scrollIntoView({ + behavior: shouldReduceMotion ? "auto" : "smooth", + block: "center", + }); + setHasScrolledToCited(true); + setActiveChunkIndex(citedChunkIndex); + } + }, 400); + return () => clearTimeout(timer); + } + }, [documentData, citedChunkIndex, hasScrolledToCited, open, shouldReduceMotion]); + + // Reset scroll state when panel closes + useEffect(() => { + if (!open) { + setHasScrolledToCited(false); + setActiveChunkIndex(null); + } + }, [open]); + + // Handle escape key + useEffect(() => { + const handleEscape = (e: KeyboardEvent) => { + if (e.key === "Escape" && open) { + onOpenChange(false); + } + }; + window.addEventListener("keydown", handleEscape); + return () => window.removeEventListener("keydown", handleEscape); + }, [open, onOpenChange]); + + // Prevent body scroll when open + useEffect(() => { + if (open) { + document.body.style.overflow = "hidden"; + } else { + document.body.style.overflow = ""; + } + return () => { + document.body.style.overflow = ""; + }; + }, [open]); + + const handleUrlClick = (e: React.MouseEvent, clickUrl: string) => { + e.preventDefault(); + e.stopPropagation(); + window.open(clickUrl, "_blank", "noopener,noreferrer"); + }; + + const scrollToChunk = useCallback((index: number) => { + setActiveChunkIndex(index); + const chunkElement = scrollAreaRef.current?.querySelector( + `[data-chunk-index="${index}"]` + ); + chunkElement?.scrollIntoView({ behavior: "smooth", block: "center" }); + }, []); + + const panelContent = ( + + {open && ( + <> + {/* Backdrop */} + onOpenChange(false)} + /> + + {/* Panel */} + + {/* Header */} + +
          +

          + {documentData?.title || title || "Source Document"} +

          +

          + {documentData + ? formatDocumentType(documentData.document_type) + : sourceType && formatDocumentType(sourceType)} + {documentData?.chunks && ( + + • {documentData.chunks.length} chunk{documentData.chunks.length !== 1 ? "s" : ""} + + )} +

          +
          +
          + {url && ( + + )} + +
          +           + + {/* Loading State */} + {!isDirectRenderSource && isDocumentByChunkFetching && ( +
          + +
          +
          + +
          +

          Loading document...

          + +
          + )} + + {/* Error State */} + {!isDirectRenderSource && documentByChunkFetchingError && ( +
          + +
          + +
          +
          +

          Failed to load document

          +

          + {documentByChunkFetchingError.message || "An unexpected error occurred. Please try again."} +

          +
          + +           +
          + )} + + {/* Direct render for web search providers */} + {isDirectRenderSource && ( + +
          + {url && ( + + )} + +

          + + Source Information +

          +
          + {title || "Untitled"} +
          +
          + {description || "No content available"} +
          +           +
          +           + )} + + {/* API-fetched document content */} + {!isDirectRenderSource && documentData && ( +
          + {/* Chunk Navigation Sidebar */} + {documentData.chunks.length > 1 && ( + + +
          + {documentData.chunks.map((chunk, idx) => { + const isCited = chunk.id === chunkId; + const isActive = activeChunkIndex === idx; + return ( + scrollToChunk(idx)} + initial={{ opacity: 0, scale: 0.8 }} + animate={{ opacity: 1, scale: 1 }} + transition={{ delay: Math.min(idx * 0.02, 0.2) }} + className={cn( + "relative w-11 h-9 mx-auto rounded-lg text-xs font-semibold transition-all duration-200 flex items-center justify-center", + isCited + ? "bg-primary text-primary-foreground shadow-md" + : isActive + ? "bg-muted text-foreground" + : "bg-muted/50 text-muted-foreground hover:bg-muted hover:text-foreground" + )} + title={isCited ? `Chunk ${idx + 1} (Cited)` : `Chunk ${idx + 1}`} + > + {idx + 1} + {isCited && ( + + + + )} + + ); + })} +
          +           +           + )} + + {/* Main Content */} + +
          + {/* Document Metadata */} + {documentData.document_metadata && + Object.keys(documentData.document_metadata).length > 0 && ( + +

          + + Document Information +

          +
          + {Object.entries(documentData.document_metadata).map( + ([key, value]) => ( +
          +
          + {key.replace(/_/g, " ")} +
          +
          + {String(value)} +
          +
          + ) + )} +
          +           + )} + + {/* Summary Collapsible */} + {documentData.content && ( + + + + + + Document Summary + + + + + + + + + + + + + )} + + {/* Chunks Header */} +
          +

          + + Content Chunks +

          + {citedChunkIndex !== -1 && ( + + )} +
          + + {/* Chunks */} +
          + {documentData.chunks.map((chunk, idx) => ( + + ))} +
          +
          +           +
          + )} +           + + )} + + ); + + if (!mounted) return <>{children}; + + return ( + <> + {children} + {createPortal(panelContent, globalThis.document.body)} + + ); +} diff --git a/surfsense_web/package.json b/surfsense_web/package.json index 1ae865c4e..719811c54 100644 --- a/surfsense_web/package.json +++ b/surfsense_web/package.json @@ -98,6 +98,7 @@ "remark-gfm": "^4.0.1", "server-only": "^0.0.1", "sonner": "^2.0.6", + "streamdown": "^1.6.10", "tailwind-merge": "^3.3.1", "tailwindcss-animate": "^1.0.7", "unist-util-visit": "^5.0.0", diff --git a/surfsense_web/pnpm-lock.yaml b/surfsense_web/pnpm-lock.yaml index 77a0cff4f..a6b34ef59 100644 --- a/surfsense_web/pnpm-lock.yaml +++ b/surfsense_web/pnpm-lock.yaml @@ -239,6 +239,9 @@ importers: sonner: specifier: ^2.0.6 version: 2.0.7(react-dom@19.2.3(react@19.2.3))(react@19.2.3) + streamdown: + specifier: ^1.6.10 + version: 1.6.10(@types/mdast@4.0.4)(micromark-util-types@2.0.2)(micromark@4.0.2)(react@19.2.3) tailwind-merge: 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dompurify@3.3.1: + optionalDependencies: + '@types/trusted-types': 2.0.7 + dotenv@16.6.1: {} dotenv@17.2.3: {} @@ -11223,6 +12102,8 @@ snapshots: generator-function@2.0.1: {} + get-east-asian-width@1.4.0: {} + get-intrinsic@1.3.0: dependencies: call-bind-apply-helpers: 1.0.2 @@ -11277,6 +12158,8 @@ snapshots: graceful-fs@4.2.11: {} + hachure-fill@0.5.2: {} + has-bigints@1.1.0: {} has-flag@4.0.0: {} @@ -11502,6 +12385,8 @@ snapshots: dependencies: '@types/hast': 3.0.4 + hast@1.0.0: {} + hastscript@6.0.0: dependencies: '@types/hast': 2.3.10 @@ -11583,6 +12468,10 @@ snapshots: hasown: 2.0.2 side-channel: 1.1.0 + internmap@1.0.1: {} + + internmap@2.0.3: {} + intersection-observer@0.10.0: {} intl-messageformat@10.7.18: @@ -11829,14 +12718,28 @@ snapshots: dependencies: json-buffer: 3.0.1 + khroma@2.1.0: {} + kleur@4.1.5: {} + langium@3.3.1: + dependencies: + chevrotain: 11.0.3 + chevrotain-allstar: 0.3.1(chevrotain@11.0.3) + vscode-languageserver: 9.0.1 + vscode-languageserver-textdocument: 1.0.12 + vscode-uri: 3.0.8 + language-subtag-registry@0.3.23: {} language-tags@1.0.9: dependencies: language-subtag-registry: 0.3.23 + layout-base@1.0.2: {} + + layout-base@2.0.1: {} + levn@0.4.1: dependencies: prelude-ls: 1.2.1 @@ -11907,6 +12810,10 @@ snapshots: dependencies: p-locate: 5.0.0 + lodash-es@4.17.21: {} + + lodash-es@4.17.22: {} + lodash.curry@4.1.1: {} lodash.debounce@4.0.8: {} @@ -11938,6 +12845,10 @@ snapshots: dependencies: react: 19.2.3 + lucide-react@0.542.0(react@19.2.3): + dependencies: + react: 19.2.3 + lz-string@1.5.0: {} magic-string@0.30.21: @@ -11961,6 +12872,8 @@ snapshots: markdown-table@3.0.4: {} + marked@16.4.2: {} + math-intrinsics@1.1.0: {} mdast-util-definitions@5.1.2: @@ -12153,6 +13066,18 @@ snapshots: longest-streak: 3.1.0 mdast-util-to-markdown: 1.5.0 + mdast-util-math@3.0.0: + dependencies: + '@types/hast': 3.0.4 + '@types/mdast': 4.0.4 + devlop: 1.1.0 + longest-streak: 3.1.0 + mdast-util-from-markdown: 2.0.2 + mdast-util-to-markdown: 2.1.2 + unist-util-remove-position: 5.0.0 + transitivePeerDependencies: + - supports-color + mdast-util-mdx-expression@2.0.1: dependencies: '@types/estree-jsx': 1.0.5 @@ -12276,6 +13201,29 @@ snapshots: merge2@1.4.1: {} + mermaid@11.12.2: + dependencies: + '@braintree/sanitize-url': 7.1.1 + '@iconify/utils': 3.1.0 + '@mermaid-js/parser': 0.6.3 + '@types/d3': 7.4.3 + cytoscape: 3.33.1 + cytoscape-cose-bilkent: 4.1.0(cytoscape@3.33.1) + cytoscape-fcose: 2.2.0(cytoscape@3.33.1) + d3: 7.9.0 + d3-sankey: 0.12.3 + dagre-d3-es: 7.0.13 + dayjs: 1.11.19 + dompurify: 3.3.1 + katex: 0.16.27 + khroma: 2.1.0 + lodash-es: 4.17.22 + marked: 16.4.2 + roughjs: 4.6.6 + stylis: 4.3.6 + ts-dedent: 2.2.0 + uuid: 11.1.0 + micromark-core-commonmark@1.1.0: dependencies: decode-named-character-reference: 1.2.0 @@ -12314,6 +13262,38 @@ snapshots: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 + micromark-extension-cjk-friendly-gfm-strikethrough@1.2.3(micromark-util-types@2.0.2)(micromark@4.0.2): + dependencies: + devlop: 1.1.0 + get-east-asian-width: 1.4.0 + micromark: 4.0.2 + micromark-extension-cjk-friendly-util: 2.1.1(micromark-util-types@2.0.2) + micromark-util-character: 2.1.1 + micromark-util-chunked: 2.0.1 + micromark-util-resolve-all: 2.0.1 + micromark-util-symbol: 2.0.1 + optionalDependencies: + micromark-util-types: 2.0.2 + + micromark-extension-cjk-friendly-util@2.1.1(micromark-util-types@2.0.2): + dependencies: + get-east-asian-width: 1.4.0 + micromark-util-character: 2.1.1 + micromark-util-symbol: 2.0.1 + optionalDependencies: + micromark-util-types: 2.0.2 + + micromark-extension-cjk-friendly@1.2.3(micromark-util-types@2.0.2)(micromark@4.0.2): + dependencies: + devlop: 1.1.0 + micromark: 4.0.2 + micromark-extension-cjk-friendly-util: 2.1.1(micromark-util-types@2.0.2) + micromark-util-chunked: 2.0.1 + micromark-util-resolve-all: 2.0.1 + micromark-util-symbol: 2.0.1 + optionalDependencies: + micromark-util-types: 2.0.2 + micromark-extension-directive@3.0.2: dependencies: devlop: 1.1.0 @@ -12466,6 +13446,16 @@ snapshots: micromark-util-types: 1.1.0 uvu: 0.5.6 + micromark-extension-math@3.1.0: + dependencies: + '@types/katex': 0.16.7 + devlop: 1.1.0 + katex: 0.16.27 + micromark-factory-space: 2.0.1 + micromark-util-character: 2.1.1 + micromark-util-symbol: 2.0.1 + micromark-util-types: 2.0.2 + micromark-extension-mdx-expression@3.0.1: dependencies: '@types/estree': 1.0.8 @@ -12796,6 +13786,13 @@ snapshots: mkdirp-classic@0.5.3: optional: true + mlly@1.8.0: + dependencies: + acorn: 8.15.0 + pathe: 2.0.3 + pkg-types: 1.3.1 + ufo: 1.6.1 + motion-dom@12.23.23: dependencies: motion-utils: 12.23.6 @@ -12978,6 +13975,8 @@ snapshots: dependencies: p-limit: 3.1.0 + package-manager-detector@1.6.0: {} + parent-module@1.0.1: dependencies: callsites: 3.1.0 @@ -13005,6 +14004,8 @@ snapshots: dependencies: entities: 6.0.1 + path-data-parser@0.1.0: {} + path-exists@4.0.0: {} path-key@3.1.1: {} @@ -13016,6 +14017,8 @@ snapshots: path2d@0.2.2: optional: true + pathe@2.0.3: {} + pdfjs-dist@4.8.69: optionalDependencies: canvas: 3.2.0 @@ -13062,8 +14065,21 @@ snapshots: picomatch@4.0.3: {} + pkg-types@1.3.1: + dependencies: + confbox: 0.1.8 + mlly: 1.8.0 + pathe: 2.0.3 + po-parser@2.0.0: {} + points-on-curve@0.2.0: {} + + points-on-path@0.2.1: + dependencies: + path-data-parser: 0.1.0 + points-on-curve: 0.2.0 + possible-typed-array-names@1.1.0: {} postcss-selector-parser@6.0.10: @@ -13583,6 +14599,10 @@ snapshots: '@types/hast': 3.0.4 hast-util-format: 1.1.0 + rehype-harden@1.1.7: + dependencies: + unist-util-visit: 5.0.0 + rehype-katex@7.0.1: dependencies: '@types/hast': 3.0.4 @@ -13637,6 +14657,26 @@ snapshots: hast-util-to-html: 9.0.5 unified: 11.0.5 + remark-cjk-friendly-gfm-strikethrough@1.2.3(@types/mdast@4.0.4)(micromark-util-types@2.0.2)(micromark@4.0.2)(unified@11.0.5): + dependencies: + micromark-extension-cjk-friendly-gfm-strikethrough: 1.2.3(micromark-util-types@2.0.2)(micromark@4.0.2) + unified: 11.0.5 + optionalDependencies: + '@types/mdast': 4.0.4 + transitivePeerDependencies: + - micromark + - micromark-util-types + + remark-cjk-friendly@1.2.3(@types/mdast@4.0.4)(micromark-util-types@2.0.2)(micromark@4.0.2)(unified@11.0.5): + dependencies: + micromark-extension-cjk-friendly: 1.2.3(micromark-util-types@2.0.2)(micromark@4.0.2) + unified: 11.0.5 + optionalDependencies: + '@types/mdast': 4.0.4 + transitivePeerDependencies: + - micromark + - micromark-util-types + remark-code-import@1.2.0: dependencies: strip-indent: 4.1.1 @@ -13670,6 +14710,15 @@ snapshots: micromark-extension-math: 2.1.2 unified: 10.1.2 + remark-math@6.0.0: + dependencies: + '@types/mdast': 4.0.4 + mdast-util-math: 3.0.0 + micromark-extension-math: 3.1.0 + unified: 11.0.5 + transitivePeerDependencies: + - supports-color + remark-mdx@3.1.1: dependencies: mdast-util-mdx: 3.0.0 @@ -13724,6 +14773,8 @@ snapshots: transitivePeerDependencies: - supports-color + remend@1.0.1: {} + resolve-from@4.0.0: {} resolve-pkg-maps@1.0.0: {} @@ -13742,10 +14793,19 @@ snapshots: reusify@1.1.0: {} + robust-predicates@3.0.2: {} + rope-sequence@1.3.4: {} rough-notation@0.5.1: {} + roughjs@4.6.6: + dependencies: + hachure-fill: 0.5.2 + path-data-parser: 0.1.0 + points-on-curve: 0.2.0 + points-on-path: 0.2.1 + rrweb-cssom@0.7.1: {} rrweb-cssom@0.8.0: {} @@ -13754,6 +14814,8 @@ snapshots: dependencies: queue-microtask: 1.2.3 + rw@1.3.3: {} + sade@1.8.1: dependencies: mri: 1.2.0 @@ -13949,6 +15011,37 @@ snapshots: es-errors: 1.3.0 internal-slot: 1.1.0 + streamdown@1.6.10(@types/mdast@4.0.4)(micromark-util-types@2.0.2)(micromark@4.0.2)(react@19.2.3): + dependencies: + clsx: 2.1.1 + hast: 1.0.0 + hast-util-to-jsx-runtime: 2.3.6 + html-url-attributes: 3.0.1 + katex: 0.16.27 + lucide-react: 0.542.0(react@19.2.3) + marked: 16.4.2 + mermaid: 11.12.2 + react: 19.2.3 + rehype-harden: 1.1.7 + rehype-katex: 7.0.1 + rehype-raw: 7.0.0 + remark-cjk-friendly: 1.2.3(@types/mdast@4.0.4)(micromark-util-types@2.0.2)(micromark@4.0.2)(unified@11.0.5) + remark-cjk-friendly-gfm-strikethrough: 1.2.3(@types/mdast@4.0.4)(micromark-util-types@2.0.2)(micromark@4.0.2)(unified@11.0.5) + remark-gfm: 4.0.1 + remark-math: 6.0.0 + remark-parse: 11.0.0 + remark-rehype: 11.1.2 + remend: 1.0.1 + shiki: 3.20.0 + tailwind-merge: 3.4.0 + unified: 11.0.5 + unist-util-visit: 5.0.0 + transitivePeerDependencies: + - '@types/mdast' + - micromark + - micromark-util-types + - supports-color + strict-event-emitter@0.4.6: {} string.prototype.includes@2.0.1: @@ -14039,6 +15132,8 @@ snapshots: client-only: 0.0.1 react: 19.2.3 + stylis@4.3.6: {} + supports-color@7.2.0: dependencies: has-flag: 4.0.0 @@ -14136,6 +15231,8 @@ snapshots: dependencies: typescript: 5.9.3 + ts-dedent@2.2.0: {} + tsconfig-paths@3.15.0: dependencies: '@types/json5': 0.0.29 @@ -14204,6 +15301,8 @@ snapshots: uc.micro@2.1.0: {} + ufo@1.6.1: {} + unbox-primitive@1.1.0: dependencies: call-bound: 1.0.4 @@ -14378,6 +15477,8 @@ snapshots: util-deprecate@1.0.2: {} + uuid@11.1.0: {} + uuid@8.3.2: {} uvu@0.5.6: @@ -14435,6 +15536,23 @@ snapshots: '@types/unist': 3.0.3 vfile-message: 4.0.3 + vscode-jsonrpc@8.2.0: {} + + vscode-languageserver-protocol@3.17.5: + dependencies: + vscode-jsonrpc: 8.2.0 + vscode-languageserver-types: 3.17.5 + + vscode-languageserver-textdocument@1.0.12: {} + + vscode-languageserver-types@3.17.5: {} + + vscode-languageserver@9.0.1: + dependencies: + vscode-languageserver-protocol: 3.17.5 + + vscode-uri@3.0.8: {} + w3c-keyname@2.2.8: {} w3c-xmlserializer@5.0.0: diff --git a/surfsense_web/tsconfig.json b/surfsense_web/tsconfig.json index 06c759b45..faa819807 100644 --- a/surfsense_web/tsconfig.json +++ b/surfsense_web/tsconfig.json @@ -33,3 +33,4 @@ ], "exclude": ["node_modules"] } + From 73f0f772a8e4a2b295d03672cf15eba8c0d9f617 Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Sun, 21 Dec 2025 03:30:10 -0800 Subject: [PATCH 12/38] feat: message history and PostgreSQL checkpointer integration --- .../app/agents/new_chat/chat_deepagent.py | 7 +- .../app/agents/new_chat/checkpointer.py | 95 +++++++ surfsense_backend/app/app.py | 5 + surfsense_backend/app/routes/chats_routes.py | 1 + surfsense_backend/app/schemas/chats.py | 8 + .../app/tasks/chat/stream_new_chat.py | 40 ++- surfsense_backend/main.py | 6 + surfsense_backend/pyproject.toml | 2 + surfsense_backend/uv.lock | 92 +++++++ .../new-chat/source-detail-panel.tsx | 255 +++++++++++------- surfsense_web/lib/chat/new-chat-transport.ts | 38 ++- 11 files changed, 434 insertions(+), 115 deletions(-) create mode 100644 surfsense_backend/app/agents/new_chat/checkpointer.py diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py index eb2dac737..931b31e63 100644 --- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py +++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py @@ -10,6 +10,7 @@ from collections.abc import Sequence from deepagents import create_deep_agent from langchain_core.tools import BaseTool from langchain_litellm import ChatLiteLLM +from langgraph.types import Checkpointer from sqlalchemy.ext.asyncio import AsyncSession from app.agents.new_chat.context import SurfSenseContextSchema @@ -27,6 +28,7 @@ def create_surfsense_deep_agent( search_space_id: int, db_session: AsyncSession, connector_service: ConnectorService, + checkpointer: Checkpointer, user_instructions: str | None = None, enable_citations: bool = True, additional_tools: Sequence[BaseTool] | None = None, @@ -39,6 +41,8 @@ def create_surfsense_deep_agent( search_space_id: The user's search space ID db_session: Database session connector_service: Initialized connector service + checkpointer: LangGraph checkpointer for conversation state persistence. + Use AsyncPostgresSaver for production or MemorySaver for testing. user_instructions: Optional user instructions to inject into the system prompt. These will be added to the system prompt to customize agent behavior. enable_citations: Whether to include citation instructions in the system prompt (default: True). @@ -61,7 +65,7 @@ def create_surfsense_deep_agent( if additional_tools: tools.extend(additional_tools) - # Create the deep agent with user-configurable system prompt + # Create the deep agent with user-configurable system prompt and checkpointer agent = create_deep_agent( model=llm, tools=tools, @@ -70,6 +74,7 @@ def create_surfsense_deep_agent( enable_citations=enable_citations, ), context_schema=SurfSenseContextSchema, + checkpointer=checkpointer, # Enable conversation memory via thread_id ) return agent diff --git a/surfsense_backend/app/agents/new_chat/checkpointer.py b/surfsense_backend/app/agents/new_chat/checkpointer.py new file mode 100644 index 000000000..8db3706a7 --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/checkpointer.py @@ -0,0 +1,95 @@ +""" +PostgreSQL-based checkpointer for LangGraph agents. + +This module provides a persistent checkpointer using AsyncPostgresSaver +that stores conversation state in the PostgreSQL database. +""" + +from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver + +from app.config import config + +# Global checkpointer instance (initialized lazily) +_checkpointer: AsyncPostgresSaver | None = None +_checkpointer_context = None # Store the context manager for cleanup +_checkpointer_initialized: bool = False + + +def get_postgres_connection_string() -> str: + """ + Convert the async DATABASE_URL to a sync postgres connection string for psycopg3. + + The DATABASE_URL is typically in format: + postgresql+asyncpg://user:pass@host:port/dbname + + We need to convert it to: + postgresql://user:pass@host:port/dbname + """ + db_url = config.DATABASE_URL + + # Handle asyncpg driver prefix + if db_url.startswith("postgresql+asyncpg://"): + return db_url.replace("postgresql+asyncpg://", "postgresql://") + + # Handle other async prefixes + if "+asyncpg" in db_url: + return db_url.replace("+asyncpg", "") + + return db_url + + +async def get_checkpointer() -> AsyncPostgresSaver: + """ + Get or create the global AsyncPostgresSaver instance. + + This function: + 1. Creates the checkpointer if it doesn't exist + 2. Sets up the required database tables on first call + 3. Returns the cached instance on subsequent calls + + Returns: + AsyncPostgresSaver: The configured checkpointer instance + """ + global _checkpointer, _checkpointer_context, _checkpointer_initialized + + if _checkpointer is None: + conn_string = get_postgres_connection_string() + # from_conn_string returns an async context manager + # We need to enter the context to get the actual checkpointer + _checkpointer_context = AsyncPostgresSaver.from_conn_string(conn_string) + _checkpointer = await _checkpointer_context.__aenter__() + + # Setup tables on first call (idempotent) + if not _checkpointer_initialized: + await _checkpointer.setup() + _checkpointer_initialized = True + + return _checkpointer + + +async def setup_checkpointer_tables() -> None: + """ + Explicitly setup the checkpointer tables. + + This can be called during application startup to ensure + tables exist before any agent calls. + """ + await get_checkpointer() + print("[Checkpointer] PostgreSQL checkpoint tables ready") + + +async def close_checkpointer() -> None: + """ + Close the checkpointer connection. + + This should be called during application shutdown. + """ + global _checkpointer, _checkpointer_context, _checkpointer_initialized + + if _checkpointer_context is not None: + await _checkpointer_context.__aexit__(None, None, None) + _checkpointer = None + _checkpointer_context = None + _checkpointer_initialized = False + print("[Checkpointer] PostgreSQL connection closed") + diff --git a/surfsense_backend/app/app.py b/surfsense_backend/app/app.py index e144d165a..b81e2d36d 100644 --- a/surfsense_backend/app/app.py +++ b/surfsense_backend/app/app.py @@ -5,6 +5,7 @@ from fastapi.middleware.cors import CORSMiddleware from sqlalchemy.ext.asyncio import AsyncSession from uvicorn.middleware.proxy_headers import ProxyHeadersMiddleware +from app.agents.new_chat.checkpointer import close_checkpointer, setup_checkpointer_tables from app.config import config from app.db import User, create_db_and_tables, get_async_session from app.routes import router as crud_router @@ -16,7 +17,11 @@ from app.users import SECRET, auth_backend, current_active_user, fastapi_users async def lifespan(app: FastAPI): # Not needed if you setup a migration system like Alembic await create_db_and_tables() + # Setup LangGraph checkpointer tables for conversation persistence + await setup_checkpointer_tables() yield + # Cleanup: close checkpointer connection on shutdown + await close_checkpointer() def registration_allowed(): diff --git a/surfsense_backend/app/routes/chats_routes.py b/surfsense_backend/app/routes/chats_routes.py index 6a4894643..2a65b637c 100644 --- a/surfsense_backend/app/routes/chats_routes.py +++ b/surfsense_backend/app/routes/chats_routes.py @@ -226,6 +226,7 @@ async def handle_new_chat( chat_id=request.chat_id, session=session, llm_config_id=llm_config_id, + messages=request.messages, # Pass message history from frontend ), media_type="text/event-stream", ) diff --git a/surfsense_backend/app/schemas/chats.py b/surfsense_backend/app/schemas/chats.py index 6c281afbc..3109130f5 100644 --- a/surfsense_backend/app/schemas/chats.py +++ b/surfsense_backend/app/schemas/chats.py @@ -48,12 +48,20 @@ class AISDKChatRequest(BaseModel): data: dict[str, Any] | None = None +class ChatMessage(BaseModel): + """A single message in the chat history.""" + + role: str # "user" or "assistant" + content: str + + class NewChatRequest(BaseModel): """Request schema for the new deep agent chat endpoint.""" chat_id: int user_query: str search_space_id: int + messages: list[ChatMessage] | None = None # Optional chat history from frontend class ChatCreate(ChatBase): diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index 7f97643dc..40f0176d4 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -8,13 +8,13 @@ Data Stream Protocol (SSE format). from collections.abc import AsyncGenerator from uuid import UUID -from langchain_core.messages import HumanMessage +from langchain_core.messages import AIMessage, HumanMessage from sqlalchemy.ext.asyncio import AsyncSession -from app.agents.new_chat.chat_deepagent import ( - create_surfsense_deep_agent, -) +from app.agents.new_chat.chat_deepagent import create_surfsense_deep_agent +from app.agents.new_chat.checkpointer import get_checkpointer from app.agents.new_chat.llm_config import create_chat_litellm_from_config, load_llm_config_from_yaml +from app.schemas.chats import ChatMessage from app.services.connector_service import ConnectorService from app.services.new_streaming_service import VercelStreamingService @@ -26,13 +26,14 @@ async def stream_new_chat( chat_id: int, session: AsyncSession, llm_config_id: int = -1, + messages: list[ChatMessage] | None = None, ) -> AsyncGenerator[str, None]: """ Stream chat responses from the new SurfSense deep agent. This uses the Vercel AI SDK Data Stream Protocol (SSE format) for streaming. - The chat_id is used as LangGraph's thread_id for memory/checkpointing, - so chat history is automatically managed by LangGraph. + The chat_id is used as LangGraph's thread_id for memory/checkpointing. + Message history can be passed from the frontend for context. Args: user_query: The user's query @@ -41,6 +42,7 @@ async def stream_new_chat( chat_id: The chat ID (used as LangGraph thread_id for memory) session: The database session llm_config_id: The LLM configuration ID (default: -1 for first global config) + messages: Optional chat history from frontend (list of ChatMessage) Yields: str: SSE formatted response strings @@ -73,18 +75,36 @@ async def stream_new_chat( # Create connector service connector_service = ConnectorService(session, search_space_id=search_space_id) - # Create the deep agent + # Get the PostgreSQL checkpointer for persistent conversation memory + checkpointer = await get_checkpointer() + + # Create the deep agent with checkpointer agent = create_surfsense_deep_agent( llm=llm, search_space_id=search_space_id, db_session=session, connector_service=connector_service, + checkpointer=checkpointer, ) - # Build input with just the current user query - # Chat history is managed by LangGraph via thread_id + # Build input with message history from frontend + langchain_messages = [] + + # if messages: + # # Convert frontend messages to LangChain format + # for msg in messages: + # if msg.role == "user": + # langchain_messages.append(HumanMessage(content=msg.content)) + # elif msg.role == "assistant": + # langchain_messages.append(AIMessage(content=msg.content)) + # else: + # Fallback: just use the current user query + langchain_messages.append(HumanMessage(content=user_query)) + input_state = { - "messages": [HumanMessage(content=user_query)], + # Lets not pass this message atm because we are using the checkpointer to manage the conversation history + # We will use this to simulate group chat functionality in the future + "messages": langchain_messages, "search_space_id": search_space_id, } diff --git a/surfsense_backend/main.py b/surfsense_backend/main.py index 6a86bbd37..9c1b5c342 100644 --- a/surfsense_backend/main.py +++ b/surfsense_backend/main.py @@ -1,9 +1,15 @@ import argparse +import asyncio import logging +import sys import uvicorn from dotenv import load_dotenv +# Fix for Windows: psycopg requires SelectorEventLoop, not ProactorEventLoop +if sys.platform == "win32": + asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) + from app.config.uvicorn import load_uvicorn_config logging.basicConfig( diff --git a/surfsense_backend/pyproject.toml b/surfsense_backend/pyproject.toml index bf9fc5580..25b74f600 100644 --- a/surfsense_backend/pyproject.toml +++ b/surfsense_backend/pyproject.toml @@ -54,6 +54,8 @@ dependencies = [ "trafilatura>=2.0.0", "fastapi-users[oauth,sqlalchemy]>=15.0.3", "chonkie[all]>=1.5.0", + "langgraph-checkpoint-postgres>=3.0.2", + "psycopg[binary,pool]>=3.3.2", ] [dependency-groups] diff --git a/surfsense_backend/uv.lock b/surfsense_backend/uv.lock index 48f8034bc..208509993 100644 --- a/surfsense_backend/uv.lock +++ b/surfsense_backend/uv.lock @@ -2983,6 +2983,21 @@ wheels = [ { url = 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name = "langgraph-checkpoint-postgres", specifier = ">=3.0.2" }, { name = "linkup-sdk", specifier = ">=0.2.4" }, { name = "litellm", specifier = ">=1.80.10" }, { name = "llama-cloud-services", specifier = ">=0.6.25" }, @@ -6359,6 +6450,7 @@ requires-dist = [ { name = "numpy", specifier = ">=1.24.0" }, { name = "pgvector", specifier = ">=0.3.6" }, { name = "playwright", specifier = ">=1.50.0" }, + { name = "psycopg", extras = ["binary", "pool"], specifier = ">=3.3.2" }, { name = "pypdf", specifier = ">=5.1.0" }, { name = "python-ffmpeg", specifier = ">=2.0.12" }, { name = "redis", specifier = ">=5.2.1" }, diff --git a/surfsense_web/components/new-chat/source-detail-panel.tsx b/surfsense_web/components/new-chat/source-detail-panel.tsx index 5ed86be7f..a076586a7 100644 --- a/surfsense_web/components/new-chat/source-detail-panel.tsx +++ b/surfsense_web/components/new-chat/source-detail-panel.tsx @@ -14,7 +14,7 @@ import { Sparkles, } from "lucide-react"; import type React from "react"; -import { type ReactNode, useCallback, useEffect, useRef, useState } from "react"; +import { type ReactNode, forwardRef, useCallback, useEffect, useRef, useState } from "react"; import { createPortal } from "react-dom"; import { MarkdownViewer } from "@/components/markdown-viewer"; import { Button } from "@/components/ui/button"; @@ -44,83 +44,70 @@ const formatDocumentType = (type: string) => { .join(" "); }; -// Chunk card component with enhanced animations -const ChunkCard = ({ - chunk, - index, - totalChunks, - isCited, - isActive, -}: { +// Chunk card component +// For large documents (>30 chunks), we disable animation to prevent layout shifts +// which break auto-scroll functionality +interface ChunkCardProps { chunk: { id: number; content: string }; index: number; totalChunks: number; isCited: boolean; isActive: boolean; -}) => { - const shouldReduceMotion = useReducedMotion(); + disableLayoutAnimation?: boolean; +} - return ( - - {/* Cited indicator glow effect */} - {isCited && ( -
          - )} - - {/* Header */} -
          -
          -
          - {index + 1} -
          - - of {totalChunks} chunks - -
          +const ChunkCard = forwardRef( + ({ chunk, index, totalChunks, isCited, isActive, disableLayoutAnimation }, ref) => { + return ( +
          + {/* Cited indicator glow effect */} {isCited && ( - +
          + )} + + {/* Header */} +
          +
          +
          + {index + 1} +
          + + of {totalChunks} chunks + +
          + {isCited && ( Cited Source - - )} -
          + )} +
          - {/* Content */} -
          - + {/* Content */} +
          + +
          -           - ); -}; + ); + } +); +ChunkCard.displayName = "ChunkCard"; export function SourceDetailPanel({ open, @@ -133,6 +120,7 @@ export function SourceDetailPanel({ children, }: SourceDetailPanelProps) { const scrollAreaRef = useRef(null); + const hasScrolledRef = useRef(false); // Use ref to avoid stale closures const [summaryOpen, setSummaryOpen] = useState(false); const [activeChunkIndex, setActiveChunkIndex] = useState(null); const [mounted, setMounted] = useState(false); @@ -163,30 +151,92 @@ export function SourceDetailPanel({ // Find cited chunk index const citedChunkIndex = documentData?.chunks?.findIndex((chunk) => chunk.id === chunkId) ?? -1; - // Auto-scroll to cited chunk when data loads - useEffect(() => { - if (documentData?.chunks && citedChunkIndex !== -1 && !hasScrolledToCited && open) { - // Wait for animations to complete then scroll - const timer = setTimeout(() => { - const chunkElement = scrollAreaRef.current?.querySelector( - `[data-chunk-index="${citedChunkIndex}"]` - ); - if (chunkElement) { - chunkElement.scrollIntoView({ - behavior: shouldReduceMotion ? "auto" : "smooth", - block: "center", - }); - setHasScrolledToCited(true); - setActiveChunkIndex(citedChunkIndex); - } - }, 400); - return () => clearTimeout(timer); + // Simple scroll function that scrolls to a chunk by index + const scrollToChunkByIndex = useCallback((chunkIndex: number, smooth = true) => { + const scrollContainer = scrollAreaRef.current; + if (!scrollContainer) return; + + const viewport = scrollContainer.querySelector( + '[data-radix-scroll-area-viewport]' + ) as HTMLElement | null; + if (!viewport) return; + + const chunkElement = scrollContainer.querySelector( + `[data-chunk-index="${chunkIndex}"]` + ) as HTMLElement | null; + if (!chunkElement) return; + + // Get positions using getBoundingClientRect for accuracy + const viewportRect = viewport.getBoundingClientRect(); + const chunkRect = chunkElement.getBoundingClientRect(); + + // Calculate where to scroll to center the chunk + const currentScrollTop = viewport.scrollTop; + const chunkTopRelativeToViewport = chunkRect.top - viewportRect.top + currentScrollTop; + const scrollTarget = chunkTopRelativeToViewport - (viewportRect.height / 2) + (chunkRect.height / 2); + + viewport.scrollTo({ + top: Math.max(0, scrollTarget), + behavior: smooth && !shouldReduceMotion ? "smooth" : "auto", + }); + + setActiveChunkIndex(chunkIndex); + }, [shouldReduceMotion]); + + // Callback ref for the cited chunk - scrolls when the element mounts + const citedChunkRefCallback = useCallback((node: HTMLDivElement | null) => { + if (node && !hasScrolledRef.current && open) { + hasScrolledRef.current = true; // Mark immediately to prevent duplicate scrolls + + // Store the node reference for the delayed scroll + const scrollToCitedChunk = () => { + const scrollContainer = scrollAreaRef.current; + if (!scrollContainer || !node.isConnected) return false; + + const viewport = scrollContainer.querySelector( + '[data-radix-scroll-area-viewport]' + ) as HTMLElement | null; + if (!viewport) return false; + + // Get positions + const viewportRect = viewport.getBoundingClientRect(); + const chunkRect = node.getBoundingClientRect(); + + // Calculate scroll position to center the chunk + const currentScrollTop = viewport.scrollTop; + const chunkTopRelativeToViewport = chunkRect.top - viewportRect.top + currentScrollTop; + const scrollTarget = chunkTopRelativeToViewport - (viewportRect.height / 2) + (chunkRect.height / 2); + + viewport.scrollTo({ + top: Math.max(0, scrollTarget), + behavior: "auto", // Instant scroll for initial positioning + }); + + return true; + }; + + // Scroll multiple times with delays to handle progressive content rendering + // Each subsequent scroll will correct for any layout shifts + const scrollAttempts = [50, 150, 300, 600, 1000]; + + scrollAttempts.forEach((delay) => { + setTimeout(() => { + scrollToCitedChunk(); + }, delay); + }); + + // After final attempt, mark state as scrolled + setTimeout(() => { + setHasScrolledToCited(true); + setActiveChunkIndex(citedChunkIndex); + }, scrollAttempts[scrollAttempts.length - 1] + 50); } - }, [documentData, citedChunkIndex, hasScrolledToCited, open, shouldReduceMotion]); + }, [open, citedChunkIndex]); // Reset scroll state when panel closes useEffect(() => { if (!open) { + hasScrolledRef.current = false; setHasScrolledToCited(false); setActiveChunkIndex(null); } @@ -222,12 +272,8 @@ export function SourceDetailPanel({ }; const scrollToChunk = useCallback((index: number) => { - setActiveChunkIndex(index); - const chunkElement = scrollAreaRef.current?.querySelector( - `[data-chunk-index="${index}"]` - ); - chunkElement?.scrollIntoView({ behavior: "smooth", block: "center" }); - }, []); + scrollToChunkByIndex(index, true); + }, [scrollToChunkByIndex]); const panelContent = ( @@ -388,9 +434,9 @@ export function SourceDetailPanel({ initial={{ opacity: 0, x: -20 }} animate={{ opacity: 1, x: 0 }} transition={{ delay: 0.2 }} - className="hidden lg:flex flex-col w-16 border-r bg-muted/10" + className="hidden lg:flex flex-col w-16 border-r bg-muted/10 overflow-hidden" > - +
          {documentData.chunks.map((chunk, idx) => { const isCited = chunk.id === chunkId; @@ -514,16 +560,21 @@ export function SourceDetailPanel({ {/* Chunks */}
          - {documentData.chunks.map((chunk, idx) => ( - - ))} + {documentData.chunks.map((chunk, idx) => { + const isCited = chunk.id === chunkId; + return ( + 30} + /> + ); + })}
          diff --git a/surfsense_web/lib/chat/new-chat-transport.ts b/surfsense_web/lib/chat/new-chat-transport.ts index 5be9278d9..7d9887102 100644 --- a/surfsense_web/lib/chat/new-chat-transport.ts +++ b/surfsense_web/lib/chat/new-chat-transport.ts @@ -11,12 +11,41 @@ interface NewChatAdapterConfig { chatId: number; } +interface ChatMessageForBackend { + role: "user" | "assistant"; + content: string; +} + +/** + * Converts assistant-ui messages to a simple format for the backend + */ +function convertMessagesToBackendFormat( + messages: ChatModelRunOptions["messages"] +): ChatMessageForBackend[] { + return messages + .filter((m) => m.role === "user" || m.role === "assistant") + .map((m) => { + // Extract text content from the message parts + let content = ""; + for (const part of m.content) { + if (part.type === "text") { + content += part.text; + } + } + return { + role: m.role as "user" | "assistant", + content: content.trim(), + }; + }) + .filter((m) => m.content.length > 0); // Filter out empty messages +} + /** * Creates a ChatModelAdapter that connects to the FastAPI new_chat endpoint. * * The backend expects: * - POST /api/v1/new_chat - * - Body: { chat_id: number, user_query: string, search_space_id: number } + * - Body: { chat_id: number, user_query: string, search_space_id: number, messages: [...] } * - Returns: SSE stream with Vercel AI SDK Data Stream Protocol */ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAdapter { @@ -31,7 +60,7 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda throw new Error("No user message found"); } - // Extract text content from the message + // Extract text content from the last user message let userQuery = ""; for (const part of lastUserMessage.content) { if (part.type === "text") { @@ -48,6 +77,9 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda throw new Error("Not authenticated. Please log in again."); } + // Convert all messages to backend format for chat history + const messageHistory = convertMessagesToBackendFormat(messages); + const response = await fetch(`${backendUrl}/api/v1/new_chat`, { method: "POST", headers: { @@ -58,6 +90,7 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda chat_id: config.chatId, user_query: userQuery.trim(), search_space_id: config.searchSpaceId, + messages: messageHistory, }), signal: abortSignal, }); @@ -165,3 +198,4 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda }, }; } + From 4c4e4b3c4c8268aa26efed0093f7f0ed62703561 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Sun, 21 Dec 2025 19:07:46 +0530 Subject: [PATCH 13/38] feat: add podcast generation capabilities to SurfSense deep agent and UI integration --- .../app/agents/new_chat/chat_deepagent.py | 20 +- .../app/agents/new_chat/podcast.py | 170 ++++++++++ .../app/agents/new_chat/system_prompt.py | 18 +- .../app/tasks/chat/stream_new_chat.py | 75 ++++- .../new-chat/[[...chat_id]]/page.tsx | 3 + surfsense_web/components/tool-ui/audio.tsx | 310 ++++++++++++++++++ .../components/tool-ui/generate-podcast.tsx | 288 ++++++++++++++++ surfsense_web/components/tool-ui/index.ts | 11 + surfsense_web/lib/chat/new-chat-transport.ts | 112 ++++++- 9 files changed, 985 insertions(+), 22 deletions(-) create mode 100644 surfsense_backend/app/agents/new_chat/podcast.py create mode 100644 surfsense_web/components/tool-ui/audio.tsx create mode 100644 surfsense_web/components/tool-ui/generate-podcast.tsx create mode 100644 surfsense_web/components/tool-ui/index.ts diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py index eb2dac737..7ac6ecac2 100644 --- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py +++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py @@ -2,7 +2,7 @@ SurfSense deep agent implementation. This module provides the factory function for creating SurfSense deep agents -with knowledge base search capability. +with knowledge base search and podcast generation capabilities. """ from collections.abc import Sequence @@ -14,6 +14,7 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.agents.new_chat.context import SurfSenseContextSchema from app.agents.new_chat.knowledge_base import create_search_knowledge_base_tool +from app.agents.new_chat.podcast import create_generate_podcast_tool from app.agents.new_chat.system_prompt import build_surfsense_system_prompt from app.services.connector_service import ConnectorService @@ -27,22 +28,27 @@ def create_surfsense_deep_agent( search_space_id: int, db_session: AsyncSession, connector_service: ConnectorService, + user_id: str | None = None, user_instructions: str | None = None, enable_citations: bool = True, + enable_podcast: bool = True, additional_tools: Sequence[BaseTool] | None = None, ): """ - Create a SurfSense deep agent with knowledge base search capability. + Create a SurfSense deep agent with knowledge base search and podcast generation capabilities. Args: llm: ChatLiteLLM instance search_space_id: The user's search space ID db_session: Database session connector_service: Initialized connector service + user_id: The user's ID (required for podcast generation) user_instructions: Optional user instructions to inject into the system prompt. These will be added to the system prompt to customize agent behavior. enable_citations: Whether to include citation instructions in the system prompt (default: True). When False, the agent will not be instructed to add citations to responses. + enable_podcast: Whether to include the podcast generation tool (default: True). + When True and user_id is provided, the agent can generate podcasts. additional_tools: Optional sequence of additional tools to inject into the agent. The search_knowledge_base tool will always be included. @@ -58,6 +64,16 @@ def create_surfsense_deep_agent( # Combine search tool with any additional tools tools = [search_tool] + + # Add podcast tool if enabled and user_id is provided + if enable_podcast and user_id: + podcast_tool = create_generate_podcast_tool( + search_space_id=search_space_id, + db_session=db_session, + user_id=str(user_id), + ) + tools.append(podcast_tool) + if additional_tools: tools.extend(additional_tools) diff --git a/surfsense_backend/app/agents/new_chat/podcast.py b/surfsense_backend/app/agents/new_chat/podcast.py new file mode 100644 index 000000000..ed4116bfb --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/podcast.py @@ -0,0 +1,170 @@ +""" +Podcast generation tool for the new chat agent. + +This module provides a factory function for creating the generate_podcast tool +that integrates with the existing podcaster agent. Podcasts are saved to the +database like the old system, providing authentication and persistence. +""" + +from typing import Any + +from langchain_core.tools import tool +from sqlalchemy.ext.asyncio import AsyncSession + +from app.agents.podcaster.graph import graph as podcaster_graph +from app.agents.podcaster.state import State as PodcasterState +from app.db import Podcast + + +def create_generate_podcast_tool( + search_space_id: int, + db_session: AsyncSession, + user_id: str, +): + """ + Factory function to create the generate_podcast tool with injected dependencies. + + Args: + search_space_id: The user's search space ID + db_session: Database session + user_id: The user's ID (as string) + + Returns: + A configured tool function for generating podcasts + """ + + @tool + async def generate_podcast( + source_content: str, + podcast_title: str = "SurfSense Podcast", + user_prompt: str | None = None, + ) -> dict[str, Any]: + """ + Generate a podcast from the provided content. + + Use this tool when the user asks to create, generate, or make a podcast. + Common triggers include phrases like: + - "Give me a podcast about this" + - "Create a podcast from this conversation" + - "Generate a podcast summary" + - "Make a podcast about..." + - "Turn this into a podcast" + + The tool will generate a complete audio podcast with two speakers + discussing the provided content in an engaging conversational format. + + Args: + source_content: The text content to convert into a podcast. + This can be a summary, research findings, or any text + the user wants transformed into an audio podcast. + podcast_title: Title for the podcast (default: "SurfSense Podcast") + user_prompt: Optional instructions for podcast style, tone, or format. + For example: "Make it casual and fun" or "Focus on the key insights" + + Returns: + A dictionary containing: + - status: "success" or "error" + - podcast_id: The database ID of the saved podcast (for API access) + - title: The podcast title + - transcript: Full podcast transcript with all dialogue entries + - duration_ms: Estimated podcast duration in milliseconds + - transcript_entries: Number of dialogue entries + """ + try: + # Configure the podcaster graph + config = { + "configurable": { + "podcast_title": podcast_title, + "user_id": str(user_id), + "search_space_id": search_space_id, + "user_prompt": user_prompt, + } + } + + # Initialize the podcaster state with the source content + initial_state = PodcasterState( + source_content=source_content, + db_session=db_session, + ) + + # Run the podcaster graph + result = await podcaster_graph.ainvoke(initial_state, config=config) + + # Extract results + podcast_transcript = result.get("podcast_transcript", []) + file_path = result.get("final_podcast_file_path", "") + + # Calculate estimated duration (rough estimate: ~150 words per minute) + total_words = sum( + len(entry.dialog.split()) if hasattr(entry, "dialog") else len(entry.get("dialog", "").split()) + for entry in podcast_transcript + ) + estimated_duration_ms = int((total_words / 150) * 60 * 1000) + + # Create full transcript for display (all entries, complete dialog) + full_transcript = [] + for entry in podcast_transcript: + if hasattr(entry, "speaker_id"): + speaker = f"Speaker {entry.speaker_id + 1}" + dialog = entry.dialog + else: + speaker = f"Speaker {entry.get('speaker_id', 0) + 1}" + dialog = entry.get("dialog", "") + full_transcript.append(f"{speaker}: {dialog}") + + # Convert podcast transcript entries to serializable format (like old system) + serializable_transcript = [] + for entry in podcast_transcript: + if hasattr(entry, "speaker_id"): + serializable_transcript.append({ + "speaker_id": entry.speaker_id, + "dialog": entry.dialog + }) + else: + serializable_transcript.append({ + "speaker_id": entry.get("speaker_id", 0), + "dialog": entry.get("dialog", "") + }) + + # Save podcast to database (like old system) + # This provides authentication and persistence + podcast = Podcast( + title=podcast_title, + podcast_transcript=serializable_transcript, + file_location=file_path, + search_space_id=search_space_id, + # chat_id is None since new-chat uses LangGraph threads, not DB chats + chat_id=None, + chat_state_version=None, + ) + db_session.add(podcast) + await db_session.commit() + await db_session.refresh(podcast) + + # Return podcast_id - frontend will use it to call the API endpoint + # GET /api/v1/podcasts/{podcast_id}/stream (like the old system) + return { + "status": "success", + "podcast_id": podcast.id, + "title": podcast_title, + "transcript": "\n\n".join(full_transcript), + "duration_ms": estimated_duration_ms, + "transcript_entries": len(podcast_transcript), + } + + except Exception as e: + error_message = str(e) + print(f"[generate_podcast] Error: {error_message}") + # Rollback on error + await db_session.rollback() + return { + "status": "error", + "error": error_message, + "title": podcast_title, + "podcast_id": None, + "duration_ms": 0, + "transcript_entries": 0, + } + + return generate_podcast + diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py index 65a5b1203..fbd18cb0b 100644 --- a/surfsense_backend/app/agents/new_chat/system_prompt.py +++ b/surfsense_backend/app/agents/new_chat/system_prompt.py @@ -121,7 +121,8 @@ Today's date (UTC): {resolved_today} {user_section} You have access to the following tools: -- search_knowledge_base: Search the user's personal knowledge base for relevant information. + +1. search_knowledge_base: Search the user's personal knowledge base for relevant information. - Args: - query: The search query - be specific and include key terms - top_k: Number of results to retrieve (default: 10) @@ -129,6 +130,15 @@ You have access to the following tools: - end_date: Optional ISO date/datetime (e.g. "2025-12-19" or "2025-12-19T23:59:59+00:00") - connectors_to_search: Optional list of connector enums to search. If omitted, searches all. - Returns: Formatted string with relevant documents and their content + +2. generate_podcast: Generate an audio podcast from provided content. + - Use this when the user asks to create, generate, or make a podcast. + - Trigger phrases: "give me a podcast about", "create a podcast", "generate a podcast", "make a podcast", "turn this into a podcast" + - Args: + - source_content: The text content to convert into a podcast (e.g., a summary, research findings, or conversation) + - podcast_title: Optional title for the podcast (default: "SurfSense Podcast") + - user_prompt: Optional instructions for podcast style/format (e.g., "Make it casual and fun") + - Returns: A podcast with audio that the user can listen to and download - User: "Fetch all my notes and what's in them?" @@ -136,6 +146,12 @@ You have access to the following tools: - User: "What did I discuss on Slack last week about the React migration?" - Call: `search_knowledge_base(query="React migration", connectors_to_search=["SLACK_CONNECTOR"], start_date="YYYY-MM-DD", end_date="YYYY-MM-DD")` + +- User: "Give me a podcast about AI trends based on what we discussed" + - First search for relevant content, then call: `generate_podcast(source_content="[summarized content from search]", podcast_title="AI Trends Podcast")` + +- User: "Create a podcast summary of this conversation" + - Call: `generate_podcast(source_content="[summary of the conversation so far]", podcast_title="Conversation Summary")` {citation_section} """ diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index 7f97643dc..40bffa7db 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -5,6 +5,7 @@ This module streams responses from the deep agent using the Vercel AI SDK Data Stream Protocol (SSE format). """ +import json from collections.abc import AsyncGenerator from uuid import UUID @@ -73,12 +74,14 @@ async def stream_new_chat( # Create connector service connector_service = ConnectorService(session, search_space_id=search_space_id) - # Create the deep agent + # Create the deep agent with podcast capability agent = create_surfsense_deep_agent( llm=llm, search_space_id=search_space_id, db_session=session, connector_service=connector_service, + user_id=str(user_id), + enable_podcast=True, ) # Build input with just the current user query @@ -162,22 +165,72 @@ async def stream_new_chat( f"Searching knowledge base: {query[:100]}{'...' if len(query) > 100 else ''}", "info", ) + elif tool_name == "generate_podcast": + title = ( + tool_input.get("podcast_title", "SurfSense Podcast") + if isinstance(tool_input, dict) + else "SurfSense Podcast" + ) + yield streaming_service.format_terminal_info( + f"Generating podcast: {title}", + "info", + ) elif event_type == "on_tool_end": run_id = event.get("run_id", "") - tool_output = event.get("data", {}).get("output", "") + tool_name = event.get("name", "unknown_tool") + raw_output = event.get("data", {}).get("output", "") + + # Extract content from ToolMessage if needed + # LangGraph may return a ToolMessage object instead of raw dict + if hasattr(raw_output, "content"): + # It's a ToolMessage object - extract the content + content = raw_output.content + # If content is a string that looks like JSON, try to parse it + if isinstance(content, str): + try: + tool_output = json.loads(content) + except (json.JSONDecodeError, TypeError): + tool_output = {"result": content} + elif isinstance(content, dict): + tool_output = content + else: + tool_output = {"result": str(content)} + elif isinstance(raw_output, dict): + tool_output = raw_output + else: + tool_output = {"result": str(raw_output) if raw_output else "completed"} tool_call_id = f"call_{run_id[:32]}" if run_id else "call_unknown" - # Don't stream the full output (can be very large), just acknowledge - yield streaming_service.format_tool_output_available( - tool_call_id, - {"status": "completed", "result_length": len(str(tool_output))}, - ) - - yield streaming_service.format_terminal_info( - "Knowledge base search completed", "success" - ) + # Handle different tool outputs + if tool_name == "generate_podcast": + # Stream the full podcast result so frontend can render the audio player + yield streaming_service.format_tool_output_available( + tool_call_id, + tool_output if isinstance(tool_output, dict) else {"result": tool_output}, + ) + # Send appropriate terminal message based on status + if isinstance(tool_output, dict) and tool_output.get("status") == "success": + yield streaming_service.format_terminal_info( + f"Podcast generated successfully: {tool_output.get('title', 'Podcast')}", + "success", + ) + else: + error_msg = tool_output.get("error", "Unknown error") if isinstance(tool_output, dict) else "Unknown error" + yield streaming_service.format_terminal_info( + f"Podcast generation failed: {error_msg}", + "error", + ) + else: + # Don't stream the full output for other tools (can be very large), just acknowledge + yield streaming_service.format_tool_output_available( + tool_call_id, + {"status": "completed", "result_length": len(str(tool_output))}, + ) + yield streaming_service.format_terminal_info( + "Knowledge base search completed", "success" + ) # Handle chain/agent end to close any open text blocks elif event_type in ("on_chain_end", "on_agent_end"): diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index 86ed4974f..cd28a26fa 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -4,6 +4,7 @@ import { AssistantRuntimeProvider, useLocalRuntime } from "@assistant-ui/react"; import { useParams } from "next/navigation"; import { useMemo } from "react"; import { Thread } from "@/components/assistant-ui/thread"; +import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; import { createNewChatAdapter } from "@/lib/chat/new-chat-transport"; export default function NewChatPage() { @@ -38,6 +39,8 @@ export default function NewChatPage() { return ( + {/* Register tool UI components */} +
          diff --git a/surfsense_web/components/tool-ui/audio.tsx b/surfsense_web/components/tool-ui/audio.tsx new file mode 100644 index 000000000..8adf8c498 --- /dev/null +++ b/surfsense_web/components/tool-ui/audio.tsx @@ -0,0 +1,310 @@ +"use client"; + +import { DownloadIcon, PauseIcon, PlayIcon, Volume2Icon, VolumeXIcon } from "lucide-react"; +import Image from "next/image"; +import { useCallback, useEffect, useRef, useState } from "react"; +import { Button } from "@/components/ui/button"; +import { Slider } from "@/components/ui/slider"; +import { cn } from "@/lib/utils"; + +interface AudioProps { + id: string; + assetId?: string; + src: string; + title: string; + description?: string; + artwork?: string; + durationMs?: number; + className?: string; +} + +function formatTime(seconds: number): string { + if (!Number.isFinite(seconds) || seconds < 0) return "0:00"; + const mins = Math.floor(seconds / 60); + const secs = Math.floor(seconds % 60); + return `${mins}:${secs.toString().padStart(2, "0")}`; +} + +export function Audio({ + id, + src, + title, + description, + artwork, + durationMs, + className, +}: AudioProps) { + const audioRef = useRef(null); + const [isPlaying, setIsPlaying] = useState(false); + const [currentTime, setCurrentTime] = useState(0); + const [duration, setDuration] = useState(durationMs ? durationMs / 1000 : 0); + const [volume, setVolume] = useState(1); + const [isMuted, setIsMuted] = useState(false); + const [isLoading, setIsLoading] = useState(true); + const [error, setError] = useState(null); + + // Handle play/pause + const togglePlayPause = useCallback(() => { + const audio = audioRef.current; + if (!audio) return; + + if (isPlaying) { + audio.pause(); + } else { + audio.play().catch((err) => { + console.error("Error playing audio:", err); + setError("Failed to play audio"); + }); + } + }, [isPlaying]); + + // Handle seek + const handleSeek = useCallback((value: number[]) => { + const audio = audioRef.current; + if (!audio || !Number.isFinite(value[0])) return; + audio.currentTime = value[0]; + setCurrentTime(value[0]); + }, []); + + // Handle volume change + const handleVolumeChange = useCallback((value: number[]) => { + const audio = audioRef.current; + if (!audio || !Number.isFinite(value[0])) return; + const newVolume = value[0]; + audio.volume = newVolume; + setVolume(newVolume); + setIsMuted(newVolume === 0); + }, []); + + // Toggle mute + const toggleMute = useCallback(() => { + const audio = audioRef.current; + if (!audio) return; + + if (isMuted) { + audio.volume = volume || 1; + setIsMuted(false); + } else { + audio.volume = 0; + setIsMuted(true); + } + }, [isMuted, volume]); + + // Handle download + const handleDownload = useCallback(async () => { + try { + const response = await fetch(src); + const blob = await response.blob(); + const url = window.URL.createObjectURL(blob); + const a = document.createElement("a"); + a.href = url; + a.download = `${title.replace(/[^a-zA-Z0-9]/g, "_")}.mp3`; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + window.URL.revokeObjectURL(url); + } catch (err) { + console.error("Error downloading audio:", err); + } + }, [src, title]); + + // Set up audio event listeners + useEffect(() => { + const audio = audioRef.current; + if (!audio) return; + + const handleLoadedMetadata = () => { + setDuration(audio.duration); + setIsLoading(false); + }; + + const handleTimeUpdate = () => { + setCurrentTime(audio.currentTime); + }; + + const handlePlay = () => setIsPlaying(true); + const handlePause = () => setIsPlaying(false); + const handleEnded = () => { + setIsPlaying(false); + setCurrentTime(0); + }; + const handleError = () => { + setError("Failed to load audio"); + setIsLoading(false); + }; + const handleCanPlay = () => setIsLoading(false); + + audio.addEventListener("loadedmetadata", handleLoadedMetadata); + audio.addEventListener("timeupdate", handleTimeUpdate); + audio.addEventListener("play", handlePlay); + audio.addEventListener("pause", handlePause); + audio.addEventListener("ended", handleEnded); + audio.addEventListener("error", handleError); + audio.addEventListener("canplay", handleCanPlay); + + return () => { + audio.removeEventListener("loadedmetadata", handleLoadedMetadata); + audio.removeEventListener("timeupdate", handleTimeUpdate); + audio.removeEventListener("play", handlePlay); + audio.removeEventListener("pause", handlePause); + audio.removeEventListener("ended", handleEnded); + audio.removeEventListener("error", handleError); + audio.removeEventListener("canplay", handleCanPlay); + }; + }, []); + + if (error) { + return ( +
          +
          + +
          +
          +

          {title}

          +

          {error}

          +
          +
          + ); + } + + return ( +
          + {/* Hidden audio element */} + + +
          + {/* Artwork */} +
          +
          + {artwork ? ( + {title} + ) : ( +
          + +
          + )} + {/* Play overlay on artwork */} + +
          +
          + + {/* Content */} +
          + {/* Title and description */} +
          +

          {title}

          + {description && ( +

          + {description} +

          + )} +
          + + {/* Progress bar */} +
          + +
          + {formatTime(currentTime)} + {formatTime(duration)} +
          +
          +
          +
          + + {/* Controls */} +
          +
          + {/* Play/Pause button */} + + + {/* Volume control */} +
          + + +
          +
          + + {/* Download button */} + +
          +
          + ); +} + diff --git a/surfsense_web/components/tool-ui/generate-podcast.tsx b/surfsense_web/components/tool-ui/generate-podcast.tsx new file mode 100644 index 000000000..0aa50aea2 --- /dev/null +++ b/surfsense_web/components/tool-ui/generate-podcast.tsx @@ -0,0 +1,288 @@ +"use client"; + +import { makeAssistantToolUI } from "@assistant-ui/react"; +import { AlertCircleIcon, Loader2Icon, MicIcon } from "lucide-react"; +import { useCallback, useEffect, useRef, useState } from "react"; +import { Audio } from "@/components/tool-ui/audio"; +import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; + +/** + * Type definitions for the generate_podcast tool + */ +interface GeneratePodcastArgs { + source_content: string; + podcast_title?: string; + user_prompt?: string; +} + +interface GeneratePodcastResult { + status: "success" | "error"; + podcast_id?: number; + title?: string; + transcript?: string; + duration_ms?: number; + transcript_entries?: number; + error?: string; +} + +/** + * Loading state component shown while podcast is being generated + */ +function PodcastGeneratingState({ title }: { title: string }) { + return ( +
          +
          +
          +
          + +
          + {/* Animated rings */} +
          +
          +
          +

          {title}

          +
          + + Generating podcast... This may take a few minutes +
          +
          +
          +
          +
          +
          +
          +
          +
          + ); +} + +/** + * Error state component shown when podcast generation fails + */ +function PodcastErrorState({ title, error }: { title: string; error: string }) { + return ( +
          +
          +
          + +
          +
          +

          {title}

          +

          Failed to generate podcast

          +

          {error}

          +
          +
          +
          + ); +} + +/** + * Audio loading state component + */ +function AudioLoadingState({ title }: { title: string }) { + return ( +
          +
          +
          + +
          +
          +

          {title}

          +
          + + Loading audio... +
          +
          +
          +
          + ); +} + +/** + * Podcast Player Component - Fetches audio with authentication + */ +function PodcastPlayer({ + podcastId, + title, + description, + durationMs, + transcript, + transcriptEntries, +}: { + podcastId: number; + title: string; + description: string; + durationMs?: number; + transcript?: string; + transcriptEntries?: number; +}) { + const [audioSrc, setAudioSrc] = useState(null); + const [isLoading, setIsLoading] = useState(true); + const [error, setError] = useState(null); + const objectUrlRef = useRef(null); + + // Cleanup object URL on unmount + useEffect(() => { + return () => { + if (objectUrlRef.current) { + URL.revokeObjectURL(objectUrlRef.current); + } + }; + }, []); + + // Fetch audio with authentication + const loadAudio = useCallback(async () => { + setIsLoading(true); + setError(null); + + try { + // Revoke previous object URL if exists + if (objectUrlRef.current) { + URL.revokeObjectURL(objectUrlRef.current); + objectUrlRef.current = null; + } + + const controller = new AbortController(); + const timeoutId = setTimeout(() => controller.abort(), 60000); // 60s timeout + + try { + // Fetch audio blob with authentication + const response = await podcastsApiService.loadPodcast({ + request: { id: podcastId }, + controller, + }); + + // Create object URL from blob + const objectUrl = URL.createObjectURL(response); + objectUrlRef.current = objectUrl; + setAudioSrc(objectUrl); + } finally { + clearTimeout(timeoutId); + } + } catch (err) { + console.error("Error loading podcast audio:", err); + if (err instanceof DOMException && err.name === "AbortError") { + setError("Request timed out. Please try again."); + } else { + setError(err instanceof Error ? err.message : "Failed to load audio"); + } + } finally { + setIsLoading(false); + } + }, [podcastId]); + + // Load audio when component mounts + useEffect(() => { + loadAudio(); + }, [loadAudio]); + + if (isLoading) { + return ; + } + + if (error || !audioSrc) { + return ; + } + + return ( +
          +
          + ); +} + +/** + * Generate Podcast Tool UI Component + * + * This component is registered with assistant-ui to render custom UI + * when the generate_podcast tool is called by the agent. + * + * It fetches the podcast audio with authentication (like the old system) + * and displays it using the Audio component. + */ +export const GeneratePodcastToolUI = makeAssistantToolUI< + GeneratePodcastArgs, + GeneratePodcastResult +>({ + toolName: "generate_podcast", + render: function GeneratePodcastUI({ args, result, status }) { + const title = args.podcast_title || "SurfSense Podcast"; + + // Loading state - podcast is being generated + if (status.type === "running" || status.type === "requires-action") { + return ; + } + + // Incomplete/cancelled state + if (status.type === "incomplete") { + if (status.reason === "cancelled") { + return ( +
          +

          + + Podcast generation cancelled +

          +
          + ); + } + if (status.reason === "error") { + return ( + + ); + } + } + + // No result yet + if (!result) { + return ; + } + + // Error result + if (result.status === "error") { + return ; + } + + // Success - need podcast_id to fetch with auth + if (!result.podcast_id) { + return ; + } + + // Render the podcast player (handles auth fetch internally) + return ( + + ); + }, +}); + diff --git a/surfsense_web/components/tool-ui/index.ts b/surfsense_web/components/tool-ui/index.ts new file mode 100644 index 000000000..4007a39fe --- /dev/null +++ b/surfsense_web/components/tool-ui/index.ts @@ -0,0 +1,11 @@ +/** + * Tool UI Components + * + * This module exports custom UI components for assistant tools. + * These components are registered with assistant-ui to render + * rich UI when specific tools are called by the agent. + */ + +export { Audio } from "./audio"; +export { GeneratePodcastToolUI } from "./generate-podcast"; + diff --git a/surfsense_web/lib/chat/new-chat-transport.ts b/surfsense_web/lib/chat/new-chat-transport.ts index 5be9278d9..74897bd8e 100644 --- a/surfsense_web/lib/chat/new-chat-transport.ts +++ b/surfsense_web/lib/chat/new-chat-transport.ts @@ -11,6 +11,22 @@ interface NewChatAdapterConfig { chatId: number; } +/** + * Represents an in-progress or completed tool call + */ +interface ToolCallState { + toolCallId: string; + toolName: string; + args: Record; + result?: unknown; +} + +/** + * Tools that should render custom UI in the chat. + * Other tools (like search_knowledge_base) will be hidden from the UI. + */ +const TOOLS_WITH_UI = new Set(["generate_podcast"]); + /** * Creates a ChatModelAdapter that connects to the FastAPI new_chat endpoint. * @@ -77,6 +93,41 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda let buffer = ""; let accumulatedText = ""; + // Track tool calls by their ID + const toolCalls = new Map(); + + /** + * Build the content array with text and tool calls. + * Only includes tools that have custom UI (defined in TOOLS_WITH_UI). + */ + function buildContent() { + const content: Array< + | { type: "text"; text: string } + | { type: "tool-call"; toolCallId: string; toolName: string; args: Record; result?: unknown } + > = []; + + // Add text content if any + if (accumulatedText) { + content.push({ type: "text" as const, text: accumulatedText }); + } + + // Only add tool calls that have custom UI registered + // Other tools (like search_knowledge_base) are hidden from the UI + for (const toolCall of toolCalls.values()) { + if (TOOLS_WITH_UI.has(toolCall.toolName)) { + content.push({ + type: "tool-call" as const, + toolCallId: toolCall.toolCallId, + toolName: toolCall.toolName, + args: toolCall.args, + result: toolCall.result, + }); + } + } + + return content; + } + try { while (true) { const { done, value } = await reader.read(); @@ -113,16 +164,56 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda switch (parsed.type) { case "text-delta": accumulatedText += parsed.delta; - yield { - content: [{ type: "text" as const, text: accumulatedText }], - }; + yield { content: buildContent() }; break; + case "tool-input-start": { + // Tool call is starting - create a new tool call entry + const { toolCallId, toolName } = parsed; + toolCalls.set(toolCallId, { + toolCallId, + toolName, + args: {}, + }); + // Yield to show tool is starting (running state) + yield { content: buildContent() }; + break; + } + + case "tool-input-available": { + // Tool input is complete - update the args + const { toolCallId, toolName, input } = parsed; + const existing = toolCalls.get(toolCallId); + if (existing) { + existing.args = input || {}; + } else { + // Create new entry if we missed tool-input-start + toolCalls.set(toolCallId, { + toolCallId, + toolName, + args: input || {}, + }); + } + yield { content: buildContent() }; + break; + } + + case "tool-output-available": { + // Tool execution is complete - add the result + const { toolCallId, output } = parsed; + const existing = toolCalls.get(toolCallId); + if (existing) { + existing.result = output; + } + yield { content: buildContent() }; + break; + } + case "error": throw new Error(parsed.errorText || "Unknown error from server"); - // Other types like text-start, text-end, tool-*, etc. - // are handled implicitly - we just accumulate text deltas + // Other types like text-start, text-end, start-step, finish-step, etc. + // are handled implicitly default: break; } @@ -148,9 +239,14 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda const parsed = JSON.parse(data); if (parsed.type === "text-delta") { accumulatedText += parsed.delta; - yield { - content: [{ type: "text" as const, text: accumulatedText }], - }; + yield { content: buildContent() }; + } else if (parsed.type === "tool-output-available") { + const { toolCallId, output } = parsed; + const existing = toolCalls.get(toolCallId); + if (existing) { + existing.result = output; + } + yield { content: buildContent() }; } } catch { // Ignore parse errors From e79e1187b2593b1225200b90cfb1dc9662700386 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Sun, 21 Dec 2025 19:35:00 +0530 Subject: [PATCH 14/38] feat: implement background podcast generation with Celery and task polling in UI --- .../app/agents/new_chat/podcast.py | 117 +++---------- .../app/routes/podcasts_routes.py | 63 +++++++ .../app/tasks/celery_tasks/podcast_tasks.py | 133 +++++++++++++++ .../components/tool-ui/generate-podcast.tsx | 156 +++++++++++++----- 4 files changed, 335 insertions(+), 134 deletions(-) diff --git a/surfsense_backend/app/agents/new_chat/podcast.py b/surfsense_backend/app/agents/new_chat/podcast.py index ed4116bfb..2205227b1 100644 --- a/surfsense_backend/app/agents/new_chat/podcast.py +++ b/surfsense_backend/app/agents/new_chat/podcast.py @@ -2,8 +2,8 @@ Podcast generation tool for the new chat agent. This module provides a factory function for creating the generate_podcast tool -that integrates with the existing podcaster agent. Podcasts are saved to the -database like the old system, providing authentication and persistence. +that submits a Celery task for background podcast generation. The frontend +polls for completion and auto-updates when the podcast is ready. """ from typing import Any @@ -11,10 +11,6 @@ from typing import Any from langchain_core.tools import tool from sqlalchemy.ext.asyncio import AsyncSession -from app.agents.podcaster.graph import graph as podcaster_graph -from app.agents.podcaster.state import State as PodcasterState -from app.db import Podcast - def create_generate_podcast_tool( search_space_id: int, @@ -26,7 +22,7 @@ def create_generate_podcast_tool( Args: search_space_id: The user's search space ID - db_session: Database session + db_session: Database session (not used - Celery creates its own) user_id: The user's ID (as string) Returns: @@ -50,8 +46,8 @@ def create_generate_podcast_tool( - "Make a podcast about..." - "Turn this into a podcast" - The tool will generate a complete audio podcast with two speakers - discussing the provided content in an engaging conversational format. + The tool will start generating a podcast in the background. + The podcast will be available once generation completes. Args: source_content: The text content to convert into a podcast. @@ -63,108 +59,43 @@ def create_generate_podcast_tool( Returns: A dictionary containing: - - status: "success" or "error" - - podcast_id: The database ID of the saved podcast (for API access) + - status: "processing" (task submitted) or "error" + - task_id: The Celery task ID for polling status - title: The podcast title - - transcript: Full podcast transcript with all dialogue entries - - duration_ms: Estimated podcast duration in milliseconds - - transcript_entries: Number of dialogue entries """ try: - # Configure the podcaster graph - config = { - "configurable": { - "podcast_title": podcast_title, - "user_id": str(user_id), - "search_space_id": search_space_id, - "user_prompt": user_prompt, - } - } + # Import Celery task here to avoid circular imports + from app.tasks.celery_tasks.podcast_tasks import ( + generate_content_podcast_task, + ) - # Initialize the podcaster state with the source content - initial_state = PodcasterState( + # Submit Celery task for background processing + task = generate_content_podcast_task.delay( source_content=source_content, - db_session=db_session, - ) - - # Run the podcaster graph - result = await podcaster_graph.ainvoke(initial_state, config=config) - - # Extract results - podcast_transcript = result.get("podcast_transcript", []) - file_path = result.get("final_podcast_file_path", "") - - # Calculate estimated duration (rough estimate: ~150 words per minute) - total_words = sum( - len(entry.dialog.split()) if hasattr(entry, "dialog") else len(entry.get("dialog", "").split()) - for entry in podcast_transcript - ) - estimated_duration_ms = int((total_words / 150) * 60 * 1000) - - # Create full transcript for display (all entries, complete dialog) - full_transcript = [] - for entry in podcast_transcript: - if hasattr(entry, "speaker_id"): - speaker = f"Speaker {entry.speaker_id + 1}" - dialog = entry.dialog - else: - speaker = f"Speaker {entry.get('speaker_id', 0) + 1}" - dialog = entry.get("dialog", "") - full_transcript.append(f"{speaker}: {dialog}") - - # Convert podcast transcript entries to serializable format (like old system) - serializable_transcript = [] - for entry in podcast_transcript: - if hasattr(entry, "speaker_id"): - serializable_transcript.append({ - "speaker_id": entry.speaker_id, - "dialog": entry.dialog - }) - else: - serializable_transcript.append({ - "speaker_id": entry.get("speaker_id", 0), - "dialog": entry.get("dialog", "") - }) - - # Save podcast to database (like old system) - # This provides authentication and persistence - podcast = Podcast( - title=podcast_title, - podcast_transcript=serializable_transcript, - file_location=file_path, search_space_id=search_space_id, - # chat_id is None since new-chat uses LangGraph threads, not DB chats - chat_id=None, - chat_state_version=None, + user_id=str(user_id), + podcast_title=podcast_title, + user_prompt=user_prompt, ) - db_session.add(podcast) - await db_session.commit() - await db_session.refresh(podcast) - # Return podcast_id - frontend will use it to call the API endpoint - # GET /api/v1/podcasts/{podcast_id}/stream (like the old system) + print(f"[generate_podcast] Submitted Celery task: {task.id}") + + # Return immediately with task_id for polling return { - "status": "success", - "podcast_id": podcast.id, + "status": "processing", + "task_id": task.id, "title": podcast_title, - "transcript": "\n\n".join(full_transcript), - "duration_ms": estimated_duration_ms, - "transcript_entries": len(podcast_transcript), + "message": "Podcast generation started. This may take a few minutes.", } except Exception as e: error_message = str(e) - print(f"[generate_podcast] Error: {error_message}") - # Rollback on error - await db_session.rollback() + print(f"[generate_podcast] Error submitting task: {error_message}") return { "status": "error", "error": error_message, "title": podcast_title, - "podcast_id": None, - "duration_ms": 0, - "transcript_entries": 0, + "task_id": None, } return generate_podcast - diff --git a/surfsense_backend/app/routes/podcasts_routes.py b/surfsense_backend/app/routes/podcasts_routes.py index deb9d9744..904de20a3 100644 --- a/surfsense_backend/app/routes/podcasts_routes.py +++ b/surfsense_backend/app/routes/podcasts_routes.py @@ -444,3 +444,66 @@ async def get_podcast_by_chat_id( raise HTTPException( status_code=500, detail=f"Error fetching podcast: {e!s}" ) from e + + +@router.get("/podcasts/task/{task_id}/status") +async def get_podcast_task_status( + task_id: str, + user: User = Depends(current_active_user), +): + """ + Get the status of a podcast generation task. + Used by new-chat frontend to poll for completion. + + Returns: + - status: "processing" | "success" | "error" + - podcast_id: (only if status == "success") + - title: (only if status == "success") + - error: (only if status == "error") + """ + try: + from celery.result import AsyncResult + + from app.celery_app import celery_app + + result = AsyncResult(task_id, app=celery_app) + + if result.ready(): + # Task completed + if result.successful(): + task_result = result.result + if isinstance(task_result, dict): + if task_result.get("status") == "success": + return { + "status": "success", + "podcast_id": task_result.get("podcast_id"), + "title": task_result.get("title"), + "transcript_entries": task_result.get("transcript_entries"), + } + else: + return { + "status": "error", + "error": task_result.get("error", "Unknown error"), + } + else: + return { + "status": "error", + "error": "Unexpected task result format", + } + else: + # Task failed + return { + "status": "error", + "error": str(result.result) if result.result else "Task failed", + } + else: + # Task still processing + return { + "status": "processing", + "state": result.state, + } + + except Exception as e: + raise HTTPException( + status_code=500, detail=f"Error checking task status: {e!s}" + ) from e diff --git a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py index 65cdb886b..994f67be7 100644 --- a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py @@ -11,6 +11,11 @@ from app.celery_app import celery_app from app.config import config from app.tasks.podcast_tasks import generate_chat_podcast +# Import for content-based podcast (new-chat) +from app.agents.podcaster.graph import graph as podcaster_graph +from app.agents.podcaster.state import State as PodcasterState +from app.db import Podcast + logger = logging.getLogger(__name__) if sys.platform.startswith("win"): @@ -86,3 +91,131 @@ async def _generate_chat_podcast( except Exception as e: logger.error(f"Error generating podcast from chat: {e!s}") raise + + +# ============================================================================= +# Content-based podcast generation (for new-chat) +# ============================================================================= + + +@celery_app.task(name="generate_content_podcast", bind=True) +def generate_content_podcast_task( + self, + source_content: str, + search_space_id: int, + user_id: str, + podcast_title: str = "SurfSense Podcast", + user_prompt: str | None = None, +) -> dict: + """ + Celery task to generate podcast from source content (for new-chat). + + Unlike generate_chat_podcast which requires a chat_id, this task + generates a podcast directly from provided content. + + Args: + source_content: The text content to convert into a podcast + search_space_id: ID of the search space + user_id: ID of the user (as string) + podcast_title: Title for the podcast + user_prompt: Optional instructions for podcast style/tone + + Returns: + dict with podcast_id on success, or error info on failure + """ + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + try: + result = loop.run_until_complete( + _generate_content_podcast( + source_content, + search_space_id, + user_id, + podcast_title, + user_prompt, + ) + ) + loop.run_until_complete(loop.shutdown_asyncgens()) + return result + except Exception as e: + logger.error(f"Error generating content podcast: {e!s}") + return {"status": "error", "error": str(e)} + finally: + asyncio.set_event_loop(None) + loop.close() + + +async def _generate_content_podcast( + source_content: str, + search_space_id: int, + user_id: str, + podcast_title: str = "SurfSense Podcast", + user_prompt: str | None = None, +) -> dict: + """Generate content-based podcast with new session.""" + async with get_celery_session_maker()() as session: + try: + # Configure the podcaster graph + graph_config = { + "configurable": { + "podcast_title": podcast_title, + "user_id": str(user_id), + "search_space_id": search_space_id, + "user_prompt": user_prompt, + } + } + + # Initialize the podcaster state with the source content + initial_state = PodcasterState( + source_content=source_content, + db_session=session, + ) + + # Run the podcaster graph + result = await podcaster_graph.ainvoke(initial_state, config=graph_config) + + # Extract results + podcast_transcript = result.get("podcast_transcript", []) + file_path = result.get("final_podcast_file_path", "") + + # Convert transcript to serializable format + serializable_transcript = [] + for entry in podcast_transcript: + if hasattr(entry, "speaker_id"): + serializable_transcript.append({ + "speaker_id": entry.speaker_id, + "dialog": entry.dialog + }) + else: + serializable_transcript.append({ + "speaker_id": entry.get("speaker_id", 0), + "dialog": entry.get("dialog", "") + }) + + # Save podcast to database + podcast = Podcast( + title=podcast_title, + podcast_transcript=serializable_transcript, + file_location=file_path, + search_space_id=search_space_id, + chat_id=None, # No chat_id for new-chat podcasts + chat_state_version=None, + ) + session.add(podcast) + await session.commit() + await session.refresh(podcast) + + logger.info(f"Successfully generated content podcast: {podcast.id}") + + return { + "status": "success", + "podcast_id": podcast.id, + "title": podcast_title, + "transcript_entries": len(serializable_transcript), + } + + except Exception as e: + logger.error(f"Error in _generate_content_podcast: {e!s}") + await session.rollback() + raise diff --git a/surfsense_web/components/tool-ui/generate-podcast.tsx b/surfsense_web/components/tool-ui/generate-podcast.tsx index 0aa50aea2..fc40d85b9 100644 --- a/surfsense_web/components/tool-ui/generate-podcast.tsx +++ b/surfsense_web/components/tool-ui/generate-podcast.tsx @@ -4,6 +4,7 @@ import { makeAssistantToolUI } from "@assistant-ui/react"; import { AlertCircleIcon, Loader2Icon, MicIcon } from "lucide-react"; import { useCallback, useEffect, useRef, useState } from "react"; import { Audio } from "@/components/tool-ui/audio"; +import { baseApiService } from "@/lib/apis/base-api.service"; import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; /** @@ -16,12 +17,21 @@ interface GeneratePodcastArgs { } interface GeneratePodcastResult { - status: "success" | "error"; + status: "processing" | "success" | "error"; + task_id?: string; podcast_id?: number; title?: string; - transcript?: string; - duration_ms?: number; transcript_entries?: number; + message?: string; + error?: string; +} + +interface TaskStatusResponse { + status: "processing" | "success" | "error"; + podcast_id?: number; + title?: string; + transcript_entries?: number; + state?: string; error?: string; } @@ -106,15 +116,11 @@ function PodcastPlayer({ title, description, durationMs, - transcript, - transcriptEntries, }: { podcastId: number; title: string; description: string; durationMs?: number; - transcript?: string; - transcriptEntries?: number; }) { const [audioSrc, setAudioSrc] = useState(null); const [isLoading, setIsLoading] = useState(true); @@ -194,29 +200,96 @@ function PodcastPlayer({ durationMs={durationMs} className="w-full" /> - {/* Full transcript */} - {transcript && ( -
          - - View full transcript{transcriptEntries ? ` (${transcriptEntries} entries)` : ""} - - 
          -						{transcript}
-
          -
          - )}
          ); } +/** + * Polling component that checks task status and shows player when complete + */ +function PodcastTaskPoller({ + taskId, + title, +}: { + taskId: string; + title: string; +}) { + const [taskStatus, setTaskStatus] = useState({ status: "processing" }); + const [pollCount, setPollCount] = useState(0); + const pollingRef = useRef(null); + + // Poll for task status + useEffect(() => { + const pollStatus = async () => { + try { + const response = await baseApiService.get( + `/api/v1/podcasts/task/${taskId}/status` + ); + setTaskStatus(response); + + // Stop polling if task is complete or errored + if (response.status !== "processing") { + if (pollingRef.current) { + clearInterval(pollingRef.current); + pollingRef.current = null; + } + } + } catch (err) { + console.error("Error polling task status:", err); + // Don't stop polling on network errors, just increment count + } + setPollCount((prev) => prev + 1); + }; + + // Initial poll + pollStatus(); + + // Poll every 5 seconds + pollingRef.current = setInterval(pollStatus, 5000); + + return () => { + if (pollingRef.current) { + clearInterval(pollingRef.current); + } + }; + }, [taskId]); + + // Show loading state while processing + if (taskStatus.status === "processing") { + return ; + } + + // Show error state + if (taskStatus.status === "error") { + return ; + } + + // Show player when complete + if (taskStatus.status === "success" && taskStatus.podcast_id) { + return ( + + ); + } + + // Fallback + return ; +} + /** * Generate Podcast Tool UI Component * * This component is registered with assistant-ui to render custom UI * when the generate_podcast tool is called by the agent. - * - * It fetches the podcast audio with authentication (like the old system) - * and displays it using the Audio component. + * + * It polls for task completion and auto-updates when the podcast is ready. */ export const GeneratePodcastToolUI = makeAssistantToolUI< GeneratePodcastArgs, @@ -226,7 +299,7 @@ export const GeneratePodcastToolUI = makeAssistantToolUI< render: function GeneratePodcastUI({ args, result, status }) { const title = args.podcast_title || "SurfSense Podcast"; - // Loading state - podcast is being generated + // Loading state - tool is still running (agent processing) if (status.type === "running" || status.type === "requires-action") { return ; } @@ -263,26 +336,27 @@ export const GeneratePodcastToolUI = makeAssistantToolUI< return ; } - // Success - need podcast_id to fetch with auth - if (!result.podcast_id) { - return ; + // Processing - poll for completion + if (result.status === "processing" && result.task_id) { + return ; } - // Render the podcast player (handles auth fetch internally) - return ( - - ); + // Success with podcast_id (direct result, not via polling) + if (result.status === "success" && result.podcast_id) { + return ( + + ); + } + + // Fallback - missing required data + return ; }, }); - From 783ee9c154e562edad567196d8a83d6a77aa9d8b Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Sun, 21 Dec 2025 20:07:04 +0530 Subject: [PATCH 15/38] feat: enhance podcast generation with duplicate request prevention and improved UI feedback --- .../app/agents/new_chat/podcast.py | 77 ++++++++++++++++++- .../app/agents/new_chat/system_prompt.py | 18 ++++- .../app/tasks/celery_tasks/podcast_tasks.py | 18 +++++ .../components/tool-ui/generate-podcast.tsx | 41 +++++++++- surfsense_web/lib/chat/new-chat-transport.ts | 48 ++++++++++++ surfsense_web/lib/chat/podcast-state.ts | 74 ++++++++++++++++++ 6 files changed, 269 insertions(+), 7 deletions(-) create mode 100644 surfsense_web/lib/chat/podcast-state.ts diff --git a/surfsense_backend/app/agents/new_chat/podcast.py b/surfsense_backend/app/agents/new_chat/podcast.py index 2205227b1..d57d0fb21 100644 --- a/surfsense_backend/app/agents/new_chat/podcast.py +++ b/surfsense_backend/app/agents/new_chat/podcast.py @@ -4,13 +4,67 @@ Podcast generation tool for the new chat agent. This module provides a factory function for creating the generate_podcast tool that submits a Celery task for background podcast generation. The frontend polls for completion and auto-updates when the podcast is ready. + +Duplicate request prevention: +- Only one podcast can be generated at a time per search space +- Uses Redis to track active podcast tasks +- Returns a friendly message if a podcast is already being generated """ +import os from typing import Any +import redis from langchain_core.tools import tool from sqlalchemy.ext.asyncio import AsyncSession +# Redis connection for tracking active podcast tasks +# Uses the same Redis instance as Celery +REDIS_URL = os.getenv("CELERY_BROKER_URL", "redis://localhost:6379/0") +_redis_client: redis.Redis | None = None + + +def get_redis_client() -> redis.Redis: + """Get or create Redis client for podcast task tracking.""" + global _redis_client + if _redis_client is None: + _redis_client = redis.from_url(REDIS_URL, decode_responses=True) + return _redis_client + + +def get_active_podcast_key(search_space_id: int) -> str: + """Generate Redis key for tracking active podcast task.""" + return f"podcast:active:{search_space_id}" + + +def get_active_podcast_task(search_space_id: int) -> str | None: + """Check if there's an active podcast task for this search space.""" + try: + client = get_redis_client() + return client.get(get_active_podcast_key(search_space_id)) + except Exception: + # If Redis is unavailable, allow the request (fail open) + return None + + +def set_active_podcast_task(search_space_id: int, task_id: str) -> None: + """Mark a podcast task as active for this search space.""" + try: + client = get_redis_client() + # Set with 30-minute expiry as safety net (podcast should complete before this) + client.setex(get_active_podcast_key(search_space_id), 1800, task_id) + except Exception as e: + print(f"[generate_podcast] Warning: Could not set active task in Redis: {e}") + + +def clear_active_podcast_task(search_space_id: int) -> None: + """Clear the active podcast task for this search space.""" + try: + client = get_redis_client() + client.delete(get_active_podcast_key(search_space_id)) + except Exception as e: + print(f"[generate_podcast] Warning: Could not clear active task in Redis: {e}") + def create_generate_podcast_tool( search_space_id: int, @@ -49,6 +103,10 @@ def create_generate_podcast_tool( The tool will start generating a podcast in the background. The podcast will be available once generation completes. + IMPORTANT: Only one podcast can be generated at a time. If a podcast + is already being generated, this tool will return a message asking + the user to wait. + Args: source_content: The text content to convert into a podcast. This can be a summary, research findings, or any text @@ -59,11 +117,23 @@ def create_generate_podcast_tool( Returns: A dictionary containing: - - status: "processing" (task submitted) or "error" - - task_id: The Celery task ID for polling status + - status: "processing" (task submitted), "already_generating", or "error" + - task_id: The Celery task ID for polling status (if processing) - title: The podcast title + - message: Status message for the user """ try: + # Check if a podcast is already being generated for this search space + active_task_id = get_active_podcast_task(search_space_id) + if active_task_id: + print(f"[generate_podcast] Blocked duplicate request. Active task: {active_task_id}") + return { + "status": "already_generating", + "task_id": active_task_id, + "title": podcast_title, + "message": "A podcast is already being generated. Please wait for it to complete before requesting another one.", + } + # Import Celery task here to avoid circular imports from app.tasks.celery_tasks.podcast_tasks import ( generate_content_podcast_task, @@ -78,6 +148,9 @@ def create_generate_podcast_tool( user_prompt=user_prompt, ) + # Mark this task as active + set_active_podcast_task(search_space_id, task.id) + print(f"[generate_podcast] Submitted Celery task: {task.id}") # Return immediately with task_id for polling diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py index fbd18cb0b..f725be684 100644 --- a/surfsense_backend/app/agents/new_chat/system_prompt.py +++ b/surfsense_backend/app/agents/new_chat/system_prompt.py @@ -135,10 +135,16 @@ You have access to the following tools: - Use this when the user asks to create, generate, or make a podcast. - Trigger phrases: "give me a podcast about", "create a podcast", "generate a podcast", "make a podcast", "turn this into a podcast" - Args: - - source_content: The text content to convert into a podcast (e.g., a summary, research findings, or conversation) + - source_content: The text content to convert into a podcast. This MUST be comprehensive and include: + * If discussing the current conversation: Include a detailed summary of the FULL chat history (all user questions and your responses) + * If based on knowledge base search: Include the key findings and insights from the search results + * You can combine both: conversation context + search results for richer podcasts + * The more detailed the source_content, the better the podcast quality - podcast_title: Optional title for the podcast (default: "SurfSense Podcast") - user_prompt: Optional instructions for podcast style/format (e.g., "Make it casual and fun") - - Returns: A podcast with audio that the user can listen to and download + - Returns: A task_id for tracking. The podcast will be generated in the background. + - IMPORTANT: Only one podcast can be generated at a time. If a podcast is already being generated, the tool will return status "already_generating". + - After calling this tool, inform the user that podcast generation has started and they will see the player when it's ready (takes 3-5 minutes). - User: "Fetch all my notes and what's in them?" @@ -148,10 +154,14 @@ You have access to the following tools: - Call: `search_knowledge_base(query="React migration", connectors_to_search=["SLACK_CONNECTOR"], start_date="YYYY-MM-DD", end_date="YYYY-MM-DD")` - User: "Give me a podcast about AI trends based on what we discussed" - - First search for relevant content, then call: `generate_podcast(source_content="[summarized content from search]", podcast_title="AI Trends Podcast")` + - First search for relevant content, then call: `generate_podcast(source_content="Based on our conversation and search results: [detailed summary of chat + search findings]", podcast_title="AI Trends Podcast")` - User: "Create a podcast summary of this conversation" - - Call: `generate_podcast(source_content="[summary of the conversation so far]", podcast_title="Conversation Summary")` + - Call: `generate_podcast(source_content="Complete conversation summary:\n\nUser asked about [topic 1]:\n[Your detailed response]\n\nUser then asked about [topic 2]:\n[Your detailed response]\n\n[Continue for all exchanges in the conversation]", podcast_title="Conversation Summary")` + +- User: "Make a podcast about quantum computing" + - First search: `search_knowledge_base(query="quantum computing")` + - Then: `generate_podcast(source_content="Key insights about quantum computing from the knowledge base:\n\n[Comprehensive summary of all relevant search results with key facts, concepts, and findings]", podcast_title="Quantum Computing Explained")` {citation_section} """ diff --git a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py index 994f67be7..1abfba193 100644 --- a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py @@ -98,6 +98,22 @@ async def _generate_chat_podcast( # ============================================================================= +def _clear_active_podcast_redis_key(search_space_id: int) -> None: + """Clear the active podcast task key from Redis when task completes.""" + import os + + import redis + + try: + redis_url = os.getenv("CELERY_BROKER_URL", "redis://localhost:6379/0") + client = redis.from_url(redis_url, decode_responses=True) + key = f"podcast:active:{search_space_id}" + client.delete(key) + logger.info(f"Cleared active podcast key for search_space_id={search_space_id}") + except Exception as e: + logger.warning(f"Could not clear active podcast key: {e}") + + @celery_app.task(name="generate_content_podcast", bind=True) def generate_content_podcast_task( self, @@ -142,6 +158,8 @@ def generate_content_podcast_task( logger.error(f"Error generating content podcast: {e!s}") return {"status": "error", "error": str(e)} finally: + # Always clear the active podcast key when task completes (success or failure) + _clear_active_podcast_redis_key(search_space_id) asyncio.set_event_loop(None) loop.close() diff --git a/surfsense_web/components/tool-ui/generate-podcast.tsx b/surfsense_web/components/tool-ui/generate-podcast.tsx index fc40d85b9..3b4c75a35 100644 --- a/surfsense_web/components/tool-ui/generate-podcast.tsx +++ b/surfsense_web/components/tool-ui/generate-podcast.tsx @@ -6,6 +6,10 @@ import { useCallback, useEffect, useRef, useState } from "react"; import { Audio } from "@/components/tool-ui/audio"; import { baseApiService } from "@/lib/apis/base-api.service"; import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; +import { + clearActivePodcastTaskId, + setActivePodcastTaskId, +} from "@/lib/chat/podcast-state"; /** * Type definitions for the generate_podcast tool @@ -17,7 +21,7 @@ interface GeneratePodcastArgs { } interface GeneratePodcastResult { - status: "processing" | "success" | "error"; + status: "processing" | "already_generating" | "success" | "error"; task_id?: string; podcast_id?: number; title?: string; @@ -218,6 +222,17 @@ function PodcastTaskPoller({ const [pollCount, setPollCount] = useState(0); const pollingRef = useRef(null); + // Set active podcast state when this component mounts + useEffect(() => { + setActivePodcastTaskId(taskId); + + // Clear when component unmounts + return () => { + // Only clear if this task is still the active one + clearActivePodcastTaskId(); + }; + }, [taskId]); + // Poll for task status useEffect(() => { const pollStatus = async () => { @@ -233,6 +248,8 @@ function PodcastTaskPoller({ clearInterval(pollingRef.current); pollingRef.current = null; } + // Clear the active podcast state when task completes + clearActivePodcastTaskId(); } } catch (err) { console.error("Error polling task status:", err); @@ -336,6 +353,28 @@ export const GeneratePodcastToolUI = makeAssistantToolUI< return ; } + // Already generating - show simple warning, don't create another poller + // The FIRST tool call will display the podcast when ready + if (result.status === "already_generating") { + return ( +
          +
          +
          + +
          +
          +

          + Podcast already in progress +

          +

          + Please wait for the current podcast to complete. +

          +
          +
          +
          + ); + } + // Processing - poll for completion if (result.status === "processing" && result.task_id) { return ; diff --git a/surfsense_web/lib/chat/new-chat-transport.ts b/surfsense_web/lib/chat/new-chat-transport.ts index 74897bd8e..4f607c984 100644 --- a/surfsense_web/lib/chat/new-chat-transport.ts +++ b/surfsense_web/lib/chat/new-chat-transport.ts @@ -4,7 +4,13 @@ */ import type { ChatModelAdapter, ChatModelRunOptions } from "@assistant-ui/react"; +import { toast } from "sonner"; import { getBearerToken } from "@/lib/auth-utils"; +import { + isPodcastGenerating, + looksLikePodcastRequest, + setActivePodcastTaskId, +} from "@/lib/chat/podcast-state"; interface NewChatAdapterConfig { searchSpaceId: number; @@ -59,6 +65,21 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda throw new Error("User query cannot be empty"); } + // Check if user is requesting a podcast while one is already generating + if (isPodcastGenerating() && looksLikePodcastRequest(userQuery)) { + toast.warning("A podcast is already being generated. Please wait for it to complete."); + // Return a message telling the user to wait + yield { + content: [ + { + type: "text", + text: "A podcast is already being generated. Please wait for it to complete before requesting another one.", + }, + ], + }; + return; + } + const token = getBearerToken(); if (!token) { throw new Error("Not authenticated. Please log in again."); @@ -204,6 +225,20 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda const existing = toolCalls.get(toolCallId); if (existing) { existing.result = output; + + // If this is a podcast tool with status="processing", set the state immediately + // This ensures subsequent podcast requests are intercepted + if ( + existing.toolName === "generate_podcast" && + output && + typeof output === "object" && + "status" in output && + output.status === "processing" && + "task_id" in output && + typeof output.task_id === "string" + ) { + setActivePodcastTaskId(output.task_id); + } } yield { content: buildContent() }; break; @@ -245,6 +280,19 @@ export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAda const existing = toolCalls.get(toolCallId); if (existing) { existing.result = output; + + // Set podcast state if processing + if ( + existing.toolName === "generate_podcast" && + output && + typeof output === "object" && + "status" in output && + output.status === "processing" && + "task_id" in output && + typeof output.task_id === "string" + ) { + setActivePodcastTaskId(output.task_id); + } } yield { content: buildContent() }; } diff --git a/surfsense_web/lib/chat/podcast-state.ts b/surfsense_web/lib/chat/podcast-state.ts new file mode 100644 index 000000000..782a31bf6 --- /dev/null +++ b/surfsense_web/lib/chat/podcast-state.ts @@ -0,0 +1,74 @@ +/** + * Module-level state for tracking active podcast generation. + * Used by the new-chat adapter to prevent duplicate podcast requests. + */ + +type PodcastStateListener = (isGenerating: boolean) => void; + +let _activePodcastTaskId: string | null = null; +const _listeners: Set = new Set(); + +/** + * Check if a podcast is currently being generated + */ +export function isPodcastGenerating(): boolean { + return _activePodcastTaskId !== null; +} + +/** + * Get the active podcast task ID + */ +export function getActivePodcastTaskId(): string | null { + return _activePodcastTaskId; +} + +/** + * Set the active podcast task ID (when podcast generation starts) + */ +export function setActivePodcastTaskId(taskId: string): void { + _activePodcastTaskId = taskId; + notifyListeners(); +} + +/** + * Clear the active podcast task ID (when podcast generation completes or errors) + */ +export function clearActivePodcastTaskId(): void { + _activePodcastTaskId = null; + notifyListeners(); +} + +/** + * Subscribe to podcast state changes + */ +export function subscribeToPodcastState(listener: PodcastStateListener): () => void { + _listeners.add(listener); + return () => { + _listeners.delete(listener); + }; +} + +function notifyListeners(): void { + const isGenerating = _activePodcastTaskId !== null; + for (const listener of _listeners) { + listener(isGenerating); + } +} + +/** + * Check if a message looks like a podcast request + */ +export function looksLikePodcastRequest(message: string): boolean { + const podcastPatterns = [ + /\bpodcast\b/i, + /\bcreate.*podcast\b/i, + /\bgenerate.*podcast\b/i, + /\bmake.*podcast\b/i, + /\bturn.*into.*podcast\b/i, + /\bpodcast.*about\b/i, + /\bgive.*podcast\b/i, + ]; + + return podcastPatterns.some((pattern) => pattern.test(message)); +} + From 4f2c9caac244d617e8c7475931bdcd0460515631 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Sun, 21 Dec 2025 20:25:27 +0530 Subject: [PATCH 16/38] feat: add transcript fetching and display in podcast player component --- .../components/tool-ui/generate-podcast.tsx | 69 ++++++++++++++----- .../lib/apis/podcasts-api.service.ts | 7 ++ 2 files changed, 58 insertions(+), 18 deletions(-) diff --git a/surfsense_web/components/tool-ui/generate-podcast.tsx b/surfsense_web/components/tool-ui/generate-podcast.tsx index 3b4c75a35..e11273e41 100644 --- a/surfsense_web/components/tool-ui/generate-podcast.tsx +++ b/surfsense_web/components/tool-ui/generate-podcast.tsx @@ -51,7 +51,7 @@ function PodcastGeneratingState({ title }: { title: string }) {
          {/* Animated rings */} -
          +

          {title}

          @@ -113,7 +113,15 @@ function AudioLoadingState({ title }: { title: string }) { } /** - * Podcast Player Component - Fetches audio with authentication + * Transcript entry type from the database + */ +interface TranscriptEntry { + speaker_id: number; + dialog: string; +} + +/** + * Podcast Player Component - Fetches audio and transcript with authentication */ function PodcastPlayer({ podcastId, @@ -127,6 +135,7 @@ function PodcastPlayer({ durationMs?: number; }) { const [audioSrc, setAudioSrc] = useState(null); + const [transcript, setTranscript] = useState(null); const [isLoading, setIsLoading] = useState(true); const [error, setError] = useState(null); const objectUrlRef = useRef(null); @@ -140,8 +149,8 @@ function PodcastPlayer({ }; }, []); - // Fetch audio with authentication - const loadAudio = useCallback(async () => { + // Fetch audio and podcast details (including transcript) + const loadPodcast = useCallback(async () => { setIsLoading(true); setError(null); @@ -156,35 +165,43 @@ function PodcastPlayer({ const timeoutId = setTimeout(() => controller.abort(), 60000); // 60s timeout try { - // Fetch audio blob with authentication - const response = await podcastsApiService.loadPodcast({ - request: { id: podcastId }, - controller, - }); + // Fetch audio blob and podcast details in parallel + const [audioBlob, podcastDetails] = await Promise.all([ + podcastsApiService.loadPodcast({ + request: { id: podcastId }, + controller, + }), + podcastsApiService.getPodcastById(podcastId), + ]); // Create object URL from blob - const objectUrl = URL.createObjectURL(response); + const objectUrl = URL.createObjectURL(audioBlob); objectUrlRef.current = objectUrl; setAudioSrc(objectUrl); + + // Set transcript from podcast details + if (podcastDetails?.podcast_transcript) { + setTranscript(podcastDetails.podcast_transcript as TranscriptEntry[]); + } } finally { clearTimeout(timeoutId); } } catch (err) { - console.error("Error loading podcast audio:", err); + console.error("Error loading podcast:", err); if (err instanceof DOMException && err.name === "AbortError") { setError("Request timed out. Please try again."); } else { - setError(err instanceof Error ? err.message : "Failed to load audio"); + setError(err instanceof Error ? err.message : "Failed to load podcast"); } } finally { setIsLoading(false); } }, [podcastId]); - // Load audio when component mounts + // Load podcast when component mounts useEffect(() => { - loadAudio(); - }, [loadAudio]); + loadPodcast(); + }, [loadPodcast]); if (isLoading) { return ; @@ -204,6 +221,24 @@ function PodcastPlayer({ durationMs={durationMs} className="w-full" /> + {/* Transcript section */} + {transcript && transcript.length > 0 && ( +
          + + View transcript ({transcript.length} entries) + +
          + {transcript.map((entry, idx) => ( +
          + + Speaker {entry.speaker_id + 1}: + {" "} + {entry.dialog} +
          + ))} +
          +
          + )}
          ); } @@ -219,7 +254,6 @@ function PodcastTaskPoller({ title: string; }) { const [taskStatus, setTaskStatus] = useState({ status: "processing" }); - const [pollCount, setPollCount] = useState(0); const pollingRef = useRef(null); // Set active podcast state when this component mounts @@ -253,9 +287,8 @@ function PodcastTaskPoller({ } } catch (err) { console.error("Error polling task status:", err); - // Don't stop polling on network errors, just increment count + // Don't stop polling on network errors, continue polling } - setPollCount((prev) => prev + 1); }; // Initial poll diff --git a/surfsense_web/lib/apis/podcasts-api.service.ts b/surfsense_web/lib/apis/podcasts-api.service.ts index 346c984af..0defff7d4 100644 --- a/surfsense_web/lib/apis/podcasts-api.service.ts +++ b/surfsense_web/lib/apis/podcasts-api.service.ts @@ -62,6 +62,13 @@ class PodcastsApiService { ); }; + /** + * Get a podcast by its ID (includes full transcript) + */ + getPodcastById = async (podcastId: number) => { + return baseApiService.get(`/api/v1/podcasts/${podcastId}`, podcast); + }; + generatePodcast = async (request: GeneratePodcastRequest) => { // Validate the request const parsedRequest = generatePodcastRequest.safeParse(request); From bc189a53cf5627954b7d59e1d84e3075c37aebcc Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Sun, 21 Dec 2025 20:37:30 +0530 Subject: [PATCH 17/38] refactor: replace TranscriptEntry interface with PodcastTranscriptEntry type for improved type safety in podcast player --- .../components/tool-ui/generate-podcast.tsx | 15 ++++----------- surfsense_web/contracts/types/podcast.types.ts | 8 +++++++- 2 files changed, 11 insertions(+), 12 deletions(-) diff --git a/surfsense_web/components/tool-ui/generate-podcast.tsx b/surfsense_web/components/tool-ui/generate-podcast.tsx index e11273e41..459307cb6 100644 --- a/surfsense_web/components/tool-ui/generate-podcast.tsx +++ b/surfsense_web/components/tool-ui/generate-podcast.tsx @@ -10,6 +10,7 @@ import { clearActivePodcastTaskId, setActivePodcastTaskId, } from "@/lib/chat/podcast-state"; +import type { PodcastTranscriptEntry } from "@/contracts/types/podcast.types"; /** * Type definitions for the generate_podcast tool @@ -51,7 +52,7 @@ function PodcastGeneratingState({ title }: { title: string }) {
          {/* Animated rings */} -
          +

          {title}

          @@ -112,14 +113,6 @@ function AudioLoadingState({ title }: { title: string }) { ); } -/** - * Transcript entry type from the database - */ -interface TranscriptEntry { - speaker_id: number; - dialog: string; -} - /** * Podcast Player Component - Fetches audio and transcript with authentication */ @@ -135,7 +128,7 @@ function PodcastPlayer({ durationMs?: number; }) { const [audioSrc, setAudioSrc] = useState(null); - const [transcript, setTranscript] = useState(null); + const [transcript, setTranscript] = useState(null); const [isLoading, setIsLoading] = useState(true); const [error, setError] = useState(null); const objectUrlRef = useRef(null); @@ -181,7 +174,7 @@ function PodcastPlayer({ // Set transcript from podcast details if (podcastDetails?.podcast_transcript) { - setTranscript(podcastDetails.podcast_transcript as TranscriptEntry[]); + setTranscript(podcastDetails.podcast_transcript); } } finally { clearTimeout(timeoutId); diff --git a/surfsense_web/contracts/types/podcast.types.ts b/surfsense_web/contracts/types/podcast.types.ts index 7bc5faece..dc7c35ba4 100644 --- a/surfsense_web/contracts/types/podcast.types.ts +++ b/surfsense_web/contracts/types/podcast.types.ts @@ -1,12 +1,17 @@ import { z } from "zod"; import { paginationQueryParams } from "."; +export const podcastTranscriptEntry = z.object({ + speaker_id: z.number(), + dialog: z.string(), +}); + export const podcast = z.object({ id: z.number(), title: z.string(), created_at: z.string(), file_location: z.string(), - podcast_transcript: z.array(z.any()), + podcast_transcript: z.array(podcastTranscriptEntry), search_space_id: z.number(), chat_state_version: z.number().nullable(), }); @@ -41,6 +46,7 @@ export const getPodcastsRequest = z.object({ queryParams: paginationQueryParams.nullish(), }); +export type PodcastTranscriptEntry = z.infer; export type GeneratePodcastRequest = z.infer; export type GetPodcastByChatIdRequest = z.infer; export type GetPodcastByChatIdResponse = z.infer; From 0c3574d0490ecf65f91808c6d8f9e7f389bffe45 Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Sun, 21 Dec 2025 16:16:50 -0800 Subject: [PATCH 18/38] feat: implement new chat feature with message persistence and UI integration --- .../app/agents/new_chat/checkpointer.py | 27 +- .../app/agents/new_chat/new_chat_test.py | 2 +- .../app/agents/new_chat/podcast.py | 4 +- surfsense_backend/app/app.py | 5 +- surfsense_backend/app/db.py | 75 +++ surfsense_backend/app/routes/__init__.py | 2 + .../app/routes/new_chat_routes.py | 597 ++++++++++++++++++ surfsense_backend/app/schemas/__init__.py | 23 + surfsense_backend/app/schemas/new_chat.py | 129 ++++ .../app/tasks/celery_tasks/podcast_tasks.py | 24 +- .../app/tasks/chat/stream_new_chat.py | 32 +- .../[search_space_id]/client-layout.tsx | 11 +- .../new-chat/[[...chat_id]]/page.tsx | 426 ++++++++++++- .../components/assistant-ui/thread-list.tsx | 286 +++++++++ surfsense_web/lib/chat/new-chat-transport.ts | 345 ---------- surfsense_web/lib/chat/thread-persistence.ts | 223 +++++++ 16 files changed, 1814 insertions(+), 397 deletions(-) create mode 100644 surfsense_backend/app/routes/new_chat_routes.py create mode 100644 surfsense_backend/app/schemas/new_chat.py create mode 100644 surfsense_web/components/assistant-ui/thread-list.tsx delete mode 100644 surfsense_web/lib/chat/new-chat-transport.ts create mode 100644 surfsense_web/lib/chat/thread-persistence.ts diff --git a/surfsense_backend/app/agents/new_chat/checkpointer.py b/surfsense_backend/app/agents/new_chat/checkpointer.py index 8db3706a7..637b2926f 100644 --- a/surfsense_backend/app/agents/new_chat/checkpointer.py +++ b/surfsense_backend/app/agents/new_chat/checkpointer.py @@ -18,59 +18,59 @@ _checkpointer_initialized: bool = False def get_postgres_connection_string() -> str: """ Convert the async DATABASE_URL to a sync postgres connection string for psycopg3. - + The DATABASE_URL is typically in format: postgresql+asyncpg://user:pass@host:port/dbname - + We need to convert it to: postgresql://user:pass@host:port/dbname """ db_url = config.DATABASE_URL - + # Handle asyncpg driver prefix if db_url.startswith("postgresql+asyncpg://"): return db_url.replace("postgresql+asyncpg://", "postgresql://") - + # Handle other async prefixes if "+asyncpg" in db_url: return db_url.replace("+asyncpg", "") - + return db_url async def get_checkpointer() -> AsyncPostgresSaver: """ Get or create the global AsyncPostgresSaver instance. - + This function: 1. Creates the checkpointer if it doesn't exist 2. Sets up the required database tables on first call 3. Returns the cached instance on subsequent calls - + Returns: AsyncPostgresSaver: The configured checkpointer instance """ global _checkpointer, _checkpointer_context, _checkpointer_initialized - + if _checkpointer is None: conn_string = get_postgres_connection_string() # from_conn_string returns an async context manager # We need to enter the context to get the actual checkpointer _checkpointer_context = AsyncPostgresSaver.from_conn_string(conn_string) _checkpointer = await _checkpointer_context.__aenter__() - + # Setup tables on first call (idempotent) if not _checkpointer_initialized: await _checkpointer.setup() _checkpointer_initialized = True - + return _checkpointer async def setup_checkpointer_tables() -> None: """ Explicitly setup the checkpointer tables. - + This can be called during application startup to ensure tables exist before any agent calls. """ @@ -81,15 +81,14 @@ async def setup_checkpointer_tables() -> None: async def close_checkpointer() -> None: """ Close the checkpointer connection. - + This should be called during application shutdown. """ global _checkpointer, _checkpointer_context, _checkpointer_initialized - + if _checkpointer_context is not None: await _checkpointer_context.__aexit__(None, None, None) _checkpointer = None _checkpointer_context = None _checkpointer_initialized = False print("[Checkpointer] PostgreSQL connection closed") - diff --git a/surfsense_backend/app/agents/new_chat/new_chat_test.py b/surfsense_backend/app/agents/new_chat/new_chat_test.py index 6a4e9bd02..857fee6cc 100644 --- a/surfsense_backend/app/agents/new_chat/new_chat_test.py +++ b/surfsense_backend/app/agents/new_chat/new_chat_test.py @@ -81,4 +81,4 @@ async def run_test(): if __name__ == "__main__": - asyncio.run(run_test()) \ No newline at end of file + asyncio.run(run_test()) diff --git a/surfsense_backend/app/agents/new_chat/podcast.py b/surfsense_backend/app/agents/new_chat/podcast.py index d57d0fb21..46974d184 100644 --- a/surfsense_backend/app/agents/new_chat/podcast.py +++ b/surfsense_backend/app/agents/new_chat/podcast.py @@ -126,7 +126,9 @@ def create_generate_podcast_tool( # Check if a podcast is already being generated for this search space active_task_id = get_active_podcast_task(search_space_id) if active_task_id: - print(f"[generate_podcast] Blocked duplicate request. Active task: {active_task_id}") + print( + f"[generate_podcast] Blocked duplicate request. Active task: {active_task_id}" + ) return { "status": "already_generating", "task_id": active_task_id, diff --git a/surfsense_backend/app/app.py b/surfsense_backend/app/app.py index b81e2d36d..7d7e88a28 100644 --- a/surfsense_backend/app/app.py +++ b/surfsense_backend/app/app.py @@ -5,7 +5,10 @@ from fastapi.middleware.cors import CORSMiddleware from sqlalchemy.ext.asyncio import AsyncSession from uvicorn.middleware.proxy_headers import ProxyHeadersMiddleware -from app.agents.new_chat.checkpointer import close_checkpointer, setup_checkpointer_tables +from app.agents.new_chat.checkpointer import ( + close_checkpointer, + setup_checkpointer_tables, +) from app.config import config from app.db import User, create_db_and_tables, get_async_session from app.routes import router as crud_router diff --git a/surfsense_backend/app/db.py b/surfsense_backend/app/db.py index c338240b3..9b7811022 100644 --- a/surfsense_backend/app/db.py +++ b/surfsense_backend/app/db.py @@ -332,6 +332,75 @@ class Chat(BaseModel, TimestampMixin): search_space = relationship("SearchSpace", back_populates="chats") +class NewChatMessageRole(str, Enum): + """Role enum for new chat messages.""" + + USER = "user" + ASSISTANT = "assistant" + SYSTEM = "system" + + +class NewChatThread(BaseModel, TimestampMixin): + """ + Thread model for the new chat feature using assistant-ui. + Each thread represents a conversation with message history. + LangGraph checkpointer uses thread_id for state persistence. + """ + + __tablename__ = "new_chat_threads" + + title = Column(String(500), nullable=False, default="New Chat", index=True) + archived = Column(Boolean, nullable=False, default=False) + updated_at = Column( + TIMESTAMP(timezone=True), + nullable=False, + default=lambda: datetime.now(UTC), + onupdate=lambda: datetime.now(UTC), + index=True, + ) + + # Foreign keys + search_space_id = Column( + Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + ) + user_id = Column( + UUID(as_uuid=True), ForeignKey("user.id", ondelete="CASCADE"), nullable=False + ) + + # Relationships + search_space = relationship("SearchSpace", back_populates="new_chat_threads") + messages = relationship( + "NewChatMessage", + back_populates="thread", + order_by="NewChatMessage.created_at", + cascade="all, delete-orphan", + ) + + +class NewChatMessage(BaseModel, TimestampMixin): + """ + Message model for the new chat feature. + Stores individual messages in assistant-ui format. + """ + + __tablename__ = "new_chat_messages" + + role = Column(SQLAlchemyEnum(NewChatMessageRole), nullable=False) + # Content stored as JSONB to support rich content (text, tool calls, etc.) + content = Column(JSONB, nullable=False) + + # Foreign key to thread + thread_id = Column( + Integer, + ForeignKey("new_chat_threads.id", ondelete="CASCADE"), + nullable=False, + index=True, + ) + + # Relationship + thread = relationship("NewChatThread", back_populates="messages") + + class Document(BaseModel, TimestampMixin): __tablename__ = "documents" @@ -435,6 +504,12 @@ class SearchSpace(BaseModel, TimestampMixin): order_by="Chat.id", cascade="all, delete-orphan", ) + new_chat_threads = relationship( + "NewChatThread", + back_populates="search_space", + order_by="NewChatThread.updated_at.desc()", + cascade="all, delete-orphan", + ) logs = relationship( "Log", back_populates="search_space", diff --git a/surfsense_backend/app/routes/__init__.py b/surfsense_backend/app/routes/__init__.py index c9d70588d..5430e8b1e 100644 --- a/surfsense_backend/app/routes/__init__.py +++ b/surfsense_backend/app/routes/__init__.py @@ -15,6 +15,7 @@ from .google_gmail_add_connector_route import ( from .llm_config_routes import router as llm_config_router from .logs_routes import router as logs_router from .luma_add_connector_route import router as luma_add_connector_router +from .new_chat_routes import router as new_chat_router from .notes_routes import router as notes_router from .podcasts_routes import router as podcasts_router from .rbac_routes import router as rbac_router @@ -30,6 +31,7 @@ router.include_router(documents_router) router.include_router(notes_router) router.include_router(podcasts_router) router.include_router(chats_router) +router.include_router(new_chat_router) # New chat with assistant-ui persistence router.include_router(search_source_connectors_router) router.include_router(google_calendar_add_connector_router) router.include_router(google_gmail_add_connector_router) diff --git a/surfsense_backend/app/routes/new_chat_routes.py b/surfsense_backend/app/routes/new_chat_routes.py new file mode 100644 index 000000000..c3102db67 --- /dev/null +++ b/surfsense_backend/app/routes/new_chat_routes.py @@ -0,0 +1,597 @@ +""" +Routes for the new chat feature with assistant-ui integration. + +These endpoints support the ThreadHistoryAdapter pattern from assistant-ui: +- GET /threads - List threads for sidebar (ThreadListPrimitive) +- POST /threads - Create a new thread +- GET /threads/{thread_id} - Get thread with messages (load) +- PUT /threads/{thread_id} - Update thread (rename, archive) +- DELETE /threads/{thread_id} - Delete thread +- POST /threads/{thread_id}/messages - Append message +""" + +from datetime import UTC, datetime + +from fastapi import APIRouter, Depends, HTTPException, Request +from sqlalchemy.exc import IntegrityError, OperationalError +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.future import select +from sqlalchemy.orm import selectinload + +from app.db import ( + NewChatMessage, + NewChatMessageRole, + NewChatThread, + Permission, + User, + get_async_session, +) +from app.schemas.new_chat import ( + NewChatMessageAppend, + NewChatMessageRead, + NewChatThreadCreate, + NewChatThreadRead, + NewChatThreadUpdate, + NewChatThreadWithMessages, + ThreadHistoryLoadResponse, + ThreadListItem, + ThreadListResponse, +) +from app.users import current_active_user +from app.utils.rbac import check_permission + +router = APIRouter() + + +# ============================================================================= +# Thread Endpoints +# ============================================================================= + + +@router.get("/threads", response_model=ThreadListResponse) +async def list_threads( + search_space_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + List all threads for the current user in a search space. + Returns threads and archived_threads for ThreadListPrimitive. + + Requires CHATS_READ permission. + """ + try: + await check_permission( + session, + user, + search_space_id, + Permission.CHATS_READ.value, + "You don't have permission to read chats in this search space", + ) + + # Get all threads for this user in this search space + query = ( + select(NewChatThread) + .filter( + NewChatThread.search_space_id == search_space_id, + NewChatThread.user_id == user.id, + ) + .order_by(NewChatThread.updated_at.desc()) + ) + + result = await session.execute(query) + all_threads = result.scalars().all() + + # Separate active and archived threads + threads = [] + archived_threads = [] + + for thread in all_threads: + item = ThreadListItem( + id=thread.id, + title=thread.title, + archived=thread.archived, + createdAt=thread.created_at, + updatedAt=thread.updated_at, + ) + if thread.archived: + archived_threads.append(item) + else: + threads.append(item) + + return ThreadListResponse(threads=threads, archived_threads=archived_threads) + + except HTTPException: + raise + except OperationalError: + raise HTTPException( + status_code=503, detail="Database operation failed. Please try again later." + ) from None + except Exception as e: + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred while fetching threads: {e!s}", + ) from None + + +@router.post("/threads", response_model=NewChatThreadRead) +async def create_thread( + thread: NewChatThreadCreate, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Create a new chat thread. + + Requires CHATS_CREATE permission. + """ + try: + await check_permission( + session, + user, + thread.search_space_id, + Permission.CHATS_CREATE.value, + "You don't have permission to create chats in this search space", + ) + + now = datetime.now(UTC) + db_thread = NewChatThread( + title=thread.title, + archived=thread.archived, + search_space_id=thread.search_space_id, + user_id=user.id, + updated_at=now, + ) + session.add(db_thread) + await session.commit() + await session.refresh(db_thread) + return db_thread + + except HTTPException: + raise + except IntegrityError: + await session.rollback() + raise HTTPException( + status_code=400, + detail="Database constraint violation. Please check your input data.", + ) from None + except OperationalError: + await session.rollback() + raise HTTPException( + status_code=503, detail="Database operation failed. Please try again later." + ) from None + except Exception as e: + await session.rollback() + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred while creating the thread: {e!s}", + ) from None + + +@router.get("/threads/{thread_id}", response_model=ThreadHistoryLoadResponse) +async def get_thread_messages( + thread_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Get a thread with all its messages. + This is used by ThreadHistoryAdapter.load() to restore conversation. + + Requires CHATS_READ permission. + """ + try: + # Get thread with messages + result = await session.execute( + select(NewChatThread) + .options(selectinload(NewChatThread.messages)) + .filter(NewChatThread.id == thread_id) + ) + thread = result.scalars().first() + + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") + + # Check permission and ownership + await check_permission( + session, + user, + thread.search_space_id, + Permission.CHATS_READ.value, + "You don't have permission to read chats in this search space", + ) + + # Ensure user owns this thread + if thread.user_id != user.id: + raise HTTPException( + status_code=403, detail="You don't have access to this thread" + ) + + # Return messages in the format expected by assistant-ui + messages = [ + NewChatMessageRead( + id=msg.id, + thread_id=msg.thread_id, + role=msg.role, + content=msg.content, + created_at=msg.created_at, + ) + for msg in thread.messages + ] + + return ThreadHistoryLoadResponse(messages=messages) + + except HTTPException: + raise + except OperationalError: + raise HTTPException( + status_code=503, detail="Database operation failed. Please try again later." + ) from None + except Exception as e: + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred while fetching the thread: {e!s}", + ) from None + + +@router.get("/threads/{thread_id}/full", response_model=NewChatThreadWithMessages) +async def get_thread_full( + thread_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Get full thread details with all messages. + + Requires CHATS_READ permission. + """ + try: + result = await session.execute( + select(NewChatThread) + .options(selectinload(NewChatThread.messages)) + .filter(NewChatThread.id == thread_id) + ) + thread = result.scalars().first() + + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") + + await check_permission( + session, + user, + thread.search_space_id, + Permission.CHATS_READ.value, + "You don't have permission to read chats in this search space", + ) + + if thread.user_id != user.id: + raise HTTPException( + status_code=403, detail="You don't have access to this thread" + ) + + return thread + + except HTTPException: + raise + except OperationalError: + raise HTTPException( + status_code=503, detail="Database operation failed. Please try again later." + ) from None + except Exception as e: + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred while fetching the thread: {e!s}", + ) from None + + +@router.put("/threads/{thread_id}", response_model=NewChatThreadRead) +async def update_thread( + thread_id: int, + thread_update: NewChatThreadUpdate, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Update a thread (title, archived status). + Used for renaming and archiving threads. + + Requires CHATS_UPDATE permission. + """ + try: + result = await session.execute( + select(NewChatThread).filter(NewChatThread.id == thread_id) + ) + db_thread = result.scalars().first() + + if not db_thread: + raise HTTPException(status_code=404, detail="Thread not found") + + await check_permission( + session, + user, + db_thread.search_space_id, + Permission.CHATS_UPDATE.value, + "You don't have permission to update chats in this search space", + ) + + if db_thread.user_id != user.id: + raise HTTPException( + status_code=403, detail="You don't have access to this thread" + ) + + # Update fields + update_data = thread_update.model_dump(exclude_unset=True) + for key, value in update_data.items(): + setattr(db_thread, key, value) + + db_thread.updated_at = datetime.now(UTC) + + await session.commit() + await session.refresh(db_thread) + return db_thread + + except HTTPException: + raise + except IntegrityError: + await session.rollback() + raise HTTPException( + status_code=400, + detail="Database constraint violation. Please check your input data.", + ) from None + except OperationalError: + await session.rollback() + raise HTTPException( + status_code=503, detail="Database operation failed. Please try again later." + ) from None + except Exception as e: + await session.rollback() + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred while updating the thread: {e!s}", + ) from None + + +@router.delete("/threads/{thread_id}", response_model=dict) +async def delete_thread( + thread_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Delete a thread and all its messages. + + Requires CHATS_DELETE permission. + """ + try: + result = await session.execute( + select(NewChatThread).filter(NewChatThread.id == thread_id) + ) + db_thread = result.scalars().first() + + if not db_thread: + raise HTTPException(status_code=404, detail="Thread not found") + + await check_permission( + session, + user, + db_thread.search_space_id, + Permission.CHATS_DELETE.value, + "You don't have permission to delete chats in this search space", + ) + + if db_thread.user_id != user.id: + raise HTTPException( + status_code=403, detail="You don't have access to this thread" + ) + + await session.delete(db_thread) + await session.commit() + return {"message": "Thread deleted successfully"} + + except HTTPException: + raise + except IntegrityError: + await session.rollback() + raise HTTPException( + status_code=400, detail="Cannot delete thread due to existing dependencies." + ) from None + except OperationalError: + await session.rollback() + raise HTTPException( + status_code=503, detail="Database operation failed. Please try again later." + ) from None + except Exception as e: + await session.rollback() + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred while deleting the thread: {e!s}", + ) from None + + +# ============================================================================= +# Message Endpoints +# ============================================================================= + + +@router.post("/threads/{thread_id}/messages", response_model=NewChatMessageRead) +async def append_message( + thread_id: int, + request: Request, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Append a message to a thread. + This is used by ThreadHistoryAdapter.append() to persist messages. + + Requires CHATS_UPDATE permission. + """ + try: + # Parse raw body - extract only role and content, ignoring extra fields + raw_body = await request.json() + role = raw_body.get("role") + content = raw_body.get("content") + + if not role: + raise HTTPException(status_code=400, detail="Missing required field: role") + if content is None: + raise HTTPException( + status_code=400, detail="Missing required field: content" + ) + + # Create message object manually + message = NewChatMessageAppend(role=role, content=content) + # Get thread + result = await session.execute( + select(NewChatThread).filter(NewChatThread.id == thread_id) + ) + thread = result.scalars().first() + + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") + + await check_permission( + session, + user, + thread.search_space_id, + Permission.CHATS_UPDATE.value, + "You don't have permission to update chats in this search space", + ) + + if thread.user_id != user.id: + raise HTTPException( + status_code=403, detail="You don't have access to this thread" + ) + + # Convert string role to enum + role_str = ( + message.role.lower() if isinstance(message.role, str) else message.role + ) + try: + message_role = NewChatMessageRole(role_str) + except ValueError: + raise HTTPException( + status_code=400, + detail=f"Invalid role: {message.role}. Must be 'user', 'assistant', or 'system'.", + ) from None + + # Create message + db_message = NewChatMessage( + thread_id=thread_id, + role=message_role, + content=message.content, + ) + session.add(db_message) + + # Update thread's updated_at timestamp + thread.updated_at = datetime.now(UTC) + + # Auto-generate title from first user message if title is still default + if thread.title == "New Chat" and role_str == "user": + # Extract text content for title + content = message.content + if isinstance(content, str): + title_text = content + elif isinstance(content, list): + # Find first text content + title_text = "" + for part in content: + if isinstance(part, dict) and part.get("type") == "text": + title_text = part.get("text", "") + break + elif isinstance(part, str): + title_text = part + break + else: + title_text = str(content) + + # Truncate title + if title_text: + thread.title = title_text[:100] + ( + "..." if len(title_text) > 100 else "" + ) + + await session.commit() + await session.refresh(db_message) + return db_message + + except HTTPException: + raise + except IntegrityError: + await session.rollback() + raise HTTPException( + status_code=400, + detail="Database constraint violation. Please check your input data.", + ) from None + except OperationalError: + await session.rollback() + raise HTTPException( + status_code=503, detail="Database operation failed. Please try again later." + ) from None + except Exception as e: + await session.rollback() + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred while appending the message: {e!s}", + ) from None + + +@router.get("/threads/{thread_id}/messages", response_model=list[NewChatMessageRead]) +async def list_messages( + thread_id: int, + skip: int = 0, + limit: int = 100, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + List messages in a thread with pagination. + + Requires CHATS_READ permission. + """ + try: + # Verify thread exists and user has access + result = await session.execute( + select(NewChatThread).filter(NewChatThread.id == thread_id) + ) + thread = result.scalars().first() + + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") + + await check_permission( + session, + user, + thread.search_space_id, + Permission.CHATS_READ.value, + "You don't have permission to read chats in this search space", + ) + + if thread.user_id != user.id: + raise HTTPException( + status_code=403, detail="You don't have access to this thread" + ) + + # Get messages + query = ( + select(NewChatMessage) + .filter(NewChatMessage.thread_id == thread_id) + .order_by(NewChatMessage.created_at) + .offset(skip) + .limit(limit) + ) + + result = await session.execute(query) + return result.scalars().all() + + except HTTPException: + raise + except OperationalError: + raise HTTPException( + status_code=503, detail="Database operation failed. Please try again later." + ) from None + except Exception as e: + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred while fetching messages: {e!s}", + ) from None diff --git a/surfsense_backend/app/schemas/__init__.py b/surfsense_backend/app/schemas/__init__.py index a4308f6a2..92f9cdc78 100644 --- a/surfsense_backend/app/schemas/__init__.py +++ b/surfsense_backend/app/schemas/__init__.py @@ -21,6 +21,18 @@ from .documents import ( ) from .llm_config import LLMConfigBase, LLMConfigCreate, LLMConfigRead, LLMConfigUpdate from .logs import LogBase, LogCreate, LogFilter, LogRead, LogUpdate +from .new_chat import ( + NewChatMessageAppend, + NewChatMessageCreate, + NewChatMessageRead, + NewChatThreadCreate, + NewChatThreadRead, + NewChatThreadUpdate, + NewChatThreadWithMessages, + ThreadHistoryLoadResponse, + ThreadListItem, + ThreadListResponse, +) from .podcasts import ( PodcastBase, PodcastCreate, @@ -98,7 +110,15 @@ __all__ = [ "MembershipRead", "MembershipReadWithUser", "MembershipUpdate", + # New chat schemas (assistant-ui integration) + "NewChatMessageAppend", + "NewChatMessageCreate", + "NewChatMessageRead", "NewChatRequest", + "NewChatThreadCreate", + "NewChatThreadRead", + "NewChatThreadUpdate", + "NewChatThreadWithMessages", "PaginatedResponse", "PermissionInfo", "PermissionsListResponse", @@ -119,6 +139,9 @@ __all__ = [ "SearchSpaceRead", "SearchSpaceUpdate", "SearchSpaceWithStats", + "ThreadHistoryLoadResponse", + "ThreadListItem", + "ThreadListResponse", "TimestampModel", "UserCreate", "UserRead", diff --git a/surfsense_backend/app/schemas/new_chat.py b/surfsense_backend/app/schemas/new_chat.py new file mode 100644 index 000000000..e1cf4efb8 --- /dev/null +++ b/surfsense_backend/app/schemas/new_chat.py @@ -0,0 +1,129 @@ +""" +Pydantic schemas for the new chat feature with assistant-ui integration. + +These schemas follow the assistant-ui ThreadHistoryAdapter pattern: +- ThreadRecord: id, title, archived, createdAt, updatedAt +- MessageRecord: id, threadId, role, content, createdAt +""" + +from datetime import datetime +from typing import Any + +from pydantic import BaseModel, ConfigDict, Field + +from app.db import NewChatMessageRole + +from .base import IDModel, TimestampModel + +# ============================================================================= +# Message Schemas +# ============================================================================= + + +class NewChatMessageBase(BaseModel): + """Base schema for new chat messages.""" + + role: NewChatMessageRole + content: Any # JSONB content - can be text, tool calls, etc. + + +class NewChatMessageCreate(NewChatMessageBase): + """Schema for creating a new message.""" + + thread_id: int + + +class NewChatMessageRead(NewChatMessageBase, IDModel, TimestampModel): + """Schema for reading a message.""" + + thread_id: int + model_config = ConfigDict(from_attributes=True) + + +class NewChatMessageAppend(BaseModel): + """ + Schema for appending a message via the history adapter. + This is the format assistant-ui sends when calling append(). + """ + + role: str # Accept string and validate in route handler + content: Any + + +# ============================================================================= +# Thread Schemas +# ============================================================================= + + +class NewChatThreadBase(BaseModel): + """Base schema for new chat threads.""" + + title: str = Field(default="New Chat", max_length=500) + archived: bool = False + + +class NewChatThreadCreate(NewChatThreadBase): + """Schema for creating a new thread.""" + + search_space_id: int + + +class NewChatThreadUpdate(BaseModel): + """Schema for updating a thread.""" + + title: str | None = None + archived: bool | None = None + + +class NewChatThreadRead(NewChatThreadBase, IDModel): + """ + Schema for reading a thread (matches assistant-ui ThreadRecord). + """ + + search_space_id: int + created_at: datetime + updated_at: datetime + + model_config = ConfigDict(from_attributes=True) + + +class NewChatThreadWithMessages(NewChatThreadRead): + """Schema for reading a thread with its messages.""" + + messages: list[NewChatMessageRead] = [] + + +# ============================================================================= +# History Adapter Response Schemas +# ============================================================================= + + +class ThreadHistoryLoadResponse(BaseModel): + """ + Response format for the ThreadHistoryAdapter.load() method. + Returns messages array for the current thread. + """ + + messages: list[NewChatMessageRead] + + +class ThreadListItem(BaseModel): + """ + Thread list item for sidebar display. + Matches assistant-ui ThreadListPrimitive expected format. + """ + + id: int + title: str + archived: bool + created_at: datetime = Field(alias="createdAt") + updated_at: datetime = Field(alias="updatedAt") + + model_config = ConfigDict(from_attributes=True, populate_by_name=True) + + +class ThreadListResponse(BaseModel): + """Response containing list of threads for the sidebar.""" + + threads: list[ThreadListItem] + archived_threads: list[ThreadListItem] diff --git a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py index 1abfba193..aa28259ab 100644 --- a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py @@ -7,14 +7,13 @@ import sys from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine from sqlalchemy.pool import NullPool -from app.celery_app import celery_app -from app.config import config -from app.tasks.podcast_tasks import generate_chat_podcast - # Import for content-based podcast (new-chat) from app.agents.podcaster.graph import graph as podcaster_graph from app.agents.podcaster.state import State as PodcasterState +from app.celery_app import celery_app +from app.config import config from app.db import Podcast +from app.tasks.podcast_tasks import generate_chat_podcast logger = logging.getLogger(__name__) @@ -201,15 +200,16 @@ async def _generate_content_podcast( serializable_transcript = [] for entry in podcast_transcript: if hasattr(entry, "speaker_id"): - serializable_transcript.append({ - "speaker_id": entry.speaker_id, - "dialog": entry.dialog - }) + serializable_transcript.append( + {"speaker_id": entry.speaker_id, "dialog": entry.dialog} + ) else: - serializable_transcript.append({ - "speaker_id": entry.get("speaker_id", 0), - "dialog": entry.get("dialog", "") - }) + serializable_transcript.append( + { + "speaker_id": entry.get("speaker_id", 0), + "dialog": entry.get("dialog", ""), + } + ) # Save podcast to database podcast = Podcast( diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index 159ca9c9a..5ddd097e6 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -9,12 +9,15 @@ import json from collections.abc import AsyncGenerator from uuid import UUID -from langchain_core.messages import AIMessage, HumanMessage +from langchain_core.messages import HumanMessage from sqlalchemy.ext.asyncio import AsyncSession from app.agents.new_chat.chat_deepagent import create_surfsense_deep_agent from app.agents.new_chat.checkpointer import get_checkpointer -from app.agents.new_chat.llm_config import create_chat_litellm_from_config, load_llm_config_from_yaml +from app.agents.new_chat.llm_config import ( + create_chat_litellm_from_config, + load_llm_config_from_yaml, +) from app.schemas.chats import ChatMessage from app.services.connector_service import ConnectorService from app.services.new_streaming_service import VercelStreamingService @@ -92,7 +95,7 @@ async def stream_new_chat( # Build input with message history from frontend langchain_messages = [] - + # if messages: # # Convert frontend messages to LangChain format # for msg in messages: @@ -101,9 +104,9 @@ async def stream_new_chat( # elif msg.role == "assistant": # langchain_messages.append(AIMessage(content=msg.content)) # else: - # Fallback: just use the current user query + # Fallback: just use the current user query langchain_messages.append(HumanMessage(content=user_query)) - + input_state = { # Lets not pass this message atm because we are using the checkpointer to manage the conversation history # We will use this to simulate group chat functionality in the future @@ -219,7 +222,9 @@ async def stream_new_chat( elif isinstance(raw_output, dict): tool_output = raw_output else: - tool_output = {"result": str(raw_output) if raw_output else "completed"} + tool_output = { + "result": str(raw_output) if raw_output else "completed" + } tool_call_id = f"call_{run_id[:32]}" if run_id else "call_unknown" @@ -228,16 +233,25 @@ async def stream_new_chat( # Stream the full podcast result so frontend can render the audio player yield streaming_service.format_tool_output_available( tool_call_id, - tool_output if isinstance(tool_output, dict) else {"result": tool_output}, + tool_output + if isinstance(tool_output, dict) + else {"result": tool_output}, ) # Send appropriate terminal message based on status - if isinstance(tool_output, dict) and tool_output.get("status") == "success": + if ( + isinstance(tool_output, dict) + and tool_output.get("status") == "success" + ): yield streaming_service.format_terminal_info( f"Podcast generated successfully: {tool_output.get('title', 'Podcast')}", "success", ) else: - error_msg = tool_output.get("error", "Unknown error") if isinstance(tool_output, dict) else "Unknown error" + error_msg = ( + tool_output.get("error", "Unknown error") + if isinstance(tool_output, dict) + else "Unknown error" + ) yield streaming_service.format_terminal_info( f"Podcast generation failed: {error_msg}", "error", diff --git a/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx b/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx index c0f5bf0b0..5583af64d 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx @@ -47,6 +47,9 @@ export function DashboardClientLayout({ // Check if we're on the researcher page const isResearcherPage = pathname?.includes("/researcher"); + // Check if we're on the new-chat page (uses separate thread persistence) + const isNewChatPage = pathname?.includes("/new-chat"); + // Show indicator when chat becomes active and panel is closed useEffect(() => { if (activeChatId && !isChatPannelOpen) { @@ -151,6 +154,12 @@ export function DashboardClientLayout({ }, [search_space_id]); useEffect(() => { + // Skip setting activeChatIdAtom on new-chat page (uses separate thread persistence) + if (isNewChatPage) { + setActiveChatIdState(null); + return; + } + const activeChatId = typeof chat_id === "string" ? chat_id @@ -159,7 +168,7 @@ export function DashboardClientLayout({ : ""; if (!activeChatId) return; setActiveChatIdState(activeChatId); - }, [chat_id, search_space_id]); + }, [chat_id, search_space_id, isNewChatPage]); // Show loading screen while checking onboarding status (only on first load) if (!hasCheckedOnboarding && (loading || accessLoading) && !isOnboardingPage) { diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index cd28a26fa..ab880813e 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -1,23 +1,73 @@ "use client"; -import { AssistantRuntimeProvider, useLocalRuntime } from "@assistant-ui/react"; -import { useParams } from "next/navigation"; -import { useMemo } from "react"; +import { + AssistantRuntimeProvider, + useExternalStoreRuntime, + type ThreadMessageLike, +} from "@assistant-ui/react"; +import { useParams, useRouter } from "next/navigation"; +import { useCallback, useEffect, useMemo, useRef, useState } from "react"; import { Thread } from "@/components/assistant-ui/thread"; import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; -import { createNewChatAdapter } from "@/lib/chat/new-chat-transport"; +import { + createThread, + getThreadMessages, + appendMessage, + type MessageRecord, +} from "@/lib/chat/thread-persistence"; +import { getBearerToken } from "@/lib/auth-utils"; +import { toast } from "sonner"; +import { + isPodcastGenerating, + looksLikePodcastRequest, + setActivePodcastTaskId, +} from "@/lib/chat/podcast-state"; + +/** + * Convert backend message to assistant-ui ThreadMessageLike format + */ +function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { + let content: ThreadMessageLike["content"]; + + if (typeof msg.content === "string") { + content = [{ type: "text", text: msg.content }]; + } else if (Array.isArray(msg.content)) { + content = msg.content as ThreadMessageLike["content"]; + } else { + content = [{ type: "text", text: String(msg.content) }]; + } + + return { + id: `msg-${msg.id}`, + role: msg.role, + content, + createdAt: new Date(msg.created_at), + }; +} + +/** + * Tools that should render custom UI in the chat. + */ +const TOOLS_WITH_UI = new Set(["generate_podcast"]); export default function NewChatPage() { const params = useParams(); + const router = useRouter(); + const [isInitializing, setIsInitializing] = useState(true); + const [threadId, setThreadId] = useState(null); + const [messages, setMessages] = useState([]); + const [isRunning, setIsRunning] = useState(false); + const abortControllerRef = useRef(null); - // Extract search_space_id and chat_id from URL params + // Extract search_space_id from URL params const searchSpaceId = useMemo(() => { const id = params.search_space_id; const parsed = typeof id === "string" ? Number.parseInt(id, 10) : 0; return Number.isNaN(parsed) ? 0 : parsed; }, [params.search_space_id]); - const chatId = useMemo(() => { + // Extract chat_id from URL params + const urlChatId = useMemo(() => { const id = params.chat_id; let parsed = 0; if (Array.isArray(id) && id.length > 0) { @@ -28,18 +78,368 @@ export default function NewChatPage() { return Number.isNaN(parsed) ? 0 : parsed; }, [params.chat_id]); - // Create the adapter with the extracted params - const adapter = useMemo( - () => createNewChatAdapter({ searchSpaceId, chatId }), - [searchSpaceId, chatId] + // Initialize thread and load messages + const initializeThread = useCallback(async () => { + setIsInitializing(true); + + try { + if (urlChatId > 0) { + // Thread exists - load messages + setThreadId(urlChatId); + const response = await getThreadMessages(urlChatId); + if (response.messages && response.messages.length > 0) { + const loadedMessages = response.messages.map(convertToThreadMessage); + setMessages(loadedMessages); + } + } else { + // Create new thread + const newThread = await createThread(searchSpaceId, "New Chat"); + setThreadId(newThread.id); + router.replace(`/dashboard/${searchSpaceId}/new-chat/${newThread.id}`); + } + } catch (error) { + console.error("[NewChatPage] Failed to initialize thread:", error); + setThreadId(Date.now()); + } finally { + setIsInitializing(false); + } + }, [urlChatId, searchSpaceId, router]); + + // Initialize on mount + useEffect(() => { + initializeThread(); + }, [initializeThread]); + + // Cancel ongoing request + const cancelRun = useCallback(async () => { + if (abortControllerRef.current) { + abortControllerRef.current.abort(); + abortControllerRef.current = null; + } + setIsRunning(false); + }, []); + + // Handle new message from user + const onNew = useCallback( + async (message: ThreadMessageLike) => { + if (!threadId) return; + + // Extract user query text + let userQuery = ""; + for (const part of message.content) { + if (typeof part === "object" && part.type === "text" && "text" in part) { + userQuery += part.text; + } + } + + if (!userQuery.trim()) return; + + // Check if podcast is already generating + if (isPodcastGenerating() && looksLikePodcastRequest(userQuery)) { + toast.warning("A podcast is already being generated."); + return; + } + + const token = getBearerToken(); + if (!token) { + toast.error("Not authenticated. Please log in again."); + return; + } + + // Add user message to state + const userMsgId = `msg-user-${Date.now()}`; + const userMessage: ThreadMessageLike = { + id: userMsgId, + role: "user", + content: message.content, + createdAt: new Date(), + }; + setMessages((prev) => [...prev, userMessage]); + + // Persist user message (don't await, fire and forget) + appendMessage(threadId, { + role: "user", + content: message.content, + }).catch((err) => console.error("Failed to persist user message:", err)); + + // Start streaming response + setIsRunning(true); + const controller = new AbortController(); + abortControllerRef.current = controller; + + // Prepare assistant message + const assistantMsgId = `msg-assistant-${Date.now()}`; + let accumulatedText = ""; + const toolCalls = new Map< + string, + { + toolCallId: string; + toolName: string; + args: Record; + result?: unknown; + } + >(); + + // Helper to build content + const buildContent = (): ThreadMessageLike["content"] => { + const parts: Array< + | { type: "text"; text: string } + | { + type: "tool-call"; + toolCallId: string; + toolName: string; + args: Record; + result?: unknown; + } + > = []; + if (accumulatedText) { + parts.push({ type: "text", text: accumulatedText }); + } + for (const toolCall of toolCalls.values()) { + if (TOOLS_WITH_UI.has(toolCall.toolName)) { + parts.push({ + type: "tool-call", + toolCallId: toolCall.toolCallId, + toolName: toolCall.toolName, + args: toolCall.args, + result: toolCall.result, + }); + } + } + return parts.length > 0 + ? (parts as ThreadMessageLike["content"]) + : [{ type: "text", text: "" }]; + }; + + // Add placeholder assistant message + setMessages((prev) => [ + ...prev, + { + id: assistantMsgId, + role: "assistant", + content: [{ type: "text", text: "" }], + createdAt: new Date(), + }, + ]); + + try { + const backendUrl = + process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL || "http://localhost:8000"; + + // Build message history for context + const messageHistory = messages + .filter((m) => m.role === "user" || m.role === "assistant") + .map((m) => { + let text = ""; + for (const part of m.content) { + if ( + typeof part === "object" && + part.type === "text" && + "text" in part + ) { + text += part.text; + } + } + return { role: m.role, content: text }; + }) + .filter((m) => m.content.length > 0); + + const response = await fetch(`${backendUrl}/api/v1/new_chat`, { + method: "POST", + headers: { + "Content-Type": "application/json", + Authorization: `Bearer ${token}`, + }, + body: JSON.stringify({ + chat_id: threadId, + user_query: userQuery.trim(), + search_space_id: searchSpaceId, + messages: messageHistory, + }), + signal: controller.signal, + }); + + if (!response.ok) { + throw new Error(`Backend error: ${response.status}`); + } + + if (!response.body) { + throw new Error("No response body"); + } + + // Parse SSE stream + const reader = response.body.getReader(); + const decoder = new TextDecoder(); + let buffer = ""; + + try { + while (true) { + const { done, value } = await reader.read(); + if (done) break; + + buffer += decoder.decode(value, { stream: true }); + const events = buffer.split(/\r?\n\r?\n/); + buffer = events.pop() || ""; + + for (const event of events) { + const lines = event.split(/\r?\n/); + for (const line of lines) { + if (!line.startsWith("data: ")) continue; + const data = line.slice(6).trim(); + if (!data || data === "[DONE]") continue; + + try { + const parsed = JSON.parse(data); + + switch (parsed.type) { + case "text-delta": + accumulatedText += parsed.delta; + setMessages((prev) => + prev.map((m) => + m.id === assistantMsgId + ? { ...m, content: buildContent() } + : m + ) + ); + break; + + case "tool-input-start": + toolCalls.set(parsed.toolCallId, { + toolCallId: parsed.toolCallId, + toolName: parsed.toolName, + args: {}, + }); + setMessages((prev) => + prev.map((m) => + m.id === assistantMsgId + ? { ...m, content: buildContent() } + : m + ) + ); + break; + + case "tool-input-available": { + const tc = toolCalls.get(parsed.toolCallId); + if (tc) tc.args = parsed.input || {}; + else + toolCalls.set(parsed.toolCallId, { + toolCallId: parsed.toolCallId, + toolName: parsed.toolName, + args: parsed.input || {}, + }); + setMessages((prev) => + prev.map((m) => + m.id === assistantMsgId + ? { ...m, content: buildContent() } + : m + ) + ); + break; + } + + case "tool-output-available": { + const tc = toolCalls.get(parsed.toolCallId); + if (tc) { + tc.result = parsed.output; + if ( + tc.toolName === "generate_podcast" && + parsed.output?.status === "processing" && + parsed.output?.task_id + ) { + setActivePodcastTaskId(parsed.output.task_id); + } + } + setMessages((prev) => + prev.map((m) => + m.id === assistantMsgId + ? { ...m, content: buildContent() } + : m + ) + ); + break; + } + + case "error": + throw new Error(parsed.errorText || "Server error"); + } + } catch (e) { + if (e instanceof SyntaxError) continue; + throw e; + } + } + } + } + } finally { + reader.releaseLock(); + } + + // Persist assistant message + const finalContent = buildContent(); + if (accumulatedText || toolCalls.size > 0) { + appendMessage(threadId, { + role: "assistant", + content: finalContent, + }).catch((err) => + console.error("Failed to persist assistant message:", err) + ); + } + } catch (error) { + if (error instanceof Error && error.name === "AbortError") { + // Request was cancelled + return; + } + console.error("[NewChatPage] Chat error:", error); + toast.error("Failed to get response. Please try again."); + // Update assistant message with error + setMessages((prev) => + prev.map((m) => + m.id === assistantMsgId + ? { + ...m, + content: [ + { + type: "text", + text: "Sorry, there was an error. Please try again.", + }, + ], + } + : m + ) + ); + } finally { + setIsRunning(false); + abortControllerRef.current = null; + } + }, + [threadId, searchSpaceId, messages] ); - // Use LocalRuntime with our custom adapter - const runtime = useLocalRuntime(adapter); + // Convert message (pass through since already in correct format) + const convertMessage = useCallback( + (message: ThreadMessageLike): ThreadMessageLike => message, + [] + ); + + // Create external store runtime + const runtime = useExternalStoreRuntime({ + messages, + isRunning, + onNew, + convertMessage, + onCancel: cancelRun, + }); + + // Show loading state + if (isInitializing) { + return ( +
          +
          Loading chat...
          +
          + ); + } return ( - {/* Register tool UI components */}
          diff --git a/surfsense_web/components/assistant-ui/thread-list.tsx b/surfsense_web/components/assistant-ui/thread-list.tsx new file mode 100644 index 000000000..de479e6b8 --- /dev/null +++ b/surfsense_web/components/assistant-ui/thread-list.tsx @@ -0,0 +1,286 @@ +"use client"; + +import { useCallback, useEffect, useState } from "react"; +import { useRouter } from "next/navigation"; +import { ArchiveIcon, MessageSquareIcon, PlusIcon, TrashIcon, MoreVerticalIcon, RotateCcwIcon } from "lucide-react"; +import { cn } from "@/lib/utils"; +import { Button } from "@/components/ui/button"; +import { + DropdownMenu, + DropdownMenuContent, + DropdownMenuItem, + DropdownMenuSeparator, + DropdownMenuTrigger, +} from "@/components/ui/dropdown-menu"; +import { + type ThreadListItem, + createThreadListManager, + type ThreadListState, +} from "@/lib/chat/thread-persistence"; + +interface ThreadListProps { + searchSpaceId: number; + currentThreadId?: number; + className?: string; +} + +export function ThreadList({ searchSpaceId, currentThreadId, className }: ThreadListProps) { + const router = useRouter(); + const [state, setState] = useState({ + threads: [], + archivedThreads: [], + isLoading: true, + error: null, + }); + const [showArchived, setShowArchived] = useState(false); + + // Create the thread list manager + const manager = useCallback( + () => + createThreadListManager({ + searchSpaceId, + currentThreadId: currentThreadId ?? null, + onThreadSwitch: (threadId) => { + router.push(`/dashboard/${searchSpaceId}/new-chat/${threadId}`); + }, + onNewThread: (threadId) => { + router.push(`/dashboard/${searchSpaceId}/new-chat/${threadId}`); + }, + }), + [searchSpaceId, currentThreadId, router] + ); + + // Load threads on mount and when searchSpaceId changes + const loadThreads = useCallback(async () => { + setState((prev) => ({ ...prev, isLoading: true })); + const newState = await manager().loadThreads(); + setState(newState); + }, [manager]); + + useEffect(() => { + loadThreads(); + }, [loadThreads]); + + // Handle new thread creation + const handleNewThread = async () => { + await manager().createNewThread(); + await loadThreads(); + }; + + // Handle thread actions + const handleArchive = async (threadId: number) => { + const success = await manager().archiveThread(threadId); + if (success) await loadThreads(); + }; + + const handleUnarchive = async (threadId: number) => { + const success = await manager().unarchiveThread(threadId); + if (success) await loadThreads(); + }; + + const handleDelete = async (threadId: number) => { + const success = await manager().deleteThread(threadId); + if (success) { + await loadThreads(); + // If we deleted the current thread, redirect to new chat + if (threadId === currentThreadId) { + router.push(`/dashboard/${searchSpaceId}/new-chat`); + } + } + }; + + const handleSwitchToThread = (threadId: number) => { + manager().switchToThread(threadId); + }; + + const displayedThreads = showArchived ? state.archivedThreads : state.threads; + + if (state.isLoading) { + return ( +
          +
          + Loading threads... +
          +
          + ); + } + + if (state.error) { + return ( +
          +
          + {state.error} + +
          +
          + ); + } + + return ( +
          + {/* Header with New Chat button */} +
          +

          Conversations

          + +
          + + {/* Tab toggle for active/archived */} +
          + + +
          + + {/* Thread list */} +
          + {displayedThreads.length === 0 ? ( +
          + +

          + {showArchived ? "No archived conversations" : "No conversations yet"} +

          + {!showArchived && ( + + )} +
          + ) : ( +
          + {displayedThreads.map((thread) => ( + handleSwitchToThread(thread.id)} + onArchive={() => handleArchive(thread.id)} + onUnarchive={() => handleUnarchive(thread.id)} + onDelete={() => handleDelete(thread.id)} + /> + ))} +
          + )} +
          +
          + ); +} + +interface ThreadListItemComponentProps { + thread: ThreadListItem; + isActive: boolean; + isArchived: boolean; + onClick: () => void; + onArchive: () => void; + onUnarchive: () => void; + onDelete: () => void; +} + +function ThreadListItemComponent({ + thread, + isActive, + isArchived, + onClick, + onArchive, + onUnarchive, + onDelete, +}: ThreadListItemComponentProps) { + return ( +
          { + if (e.key === "Enter" || e.key === " ") onClick(); + }} + role="button" + tabIndex={0} + > + +
          +

          {thread.title || "New Chat"}

          +

          + {formatRelativeTime(new Date(thread.updatedAt))} +

          +
          + + + + + + {isArchived ? ( + + + Unarchive + + ) : ( + + + Archive + + )} + + + + Delete + + + +
          + ); +} + +/** + * Format a date as relative time (e.g., "2 hours ago", "Yesterday") + */ +function formatRelativeTime(date: Date): string { + const now = new Date(); + const diffMs = now.getTime() - date.getTime(); + const diffSecs = Math.floor(diffMs / 1000); + const diffMins = Math.floor(diffSecs / 60); + const diffHours = Math.floor(diffMins / 60); + const diffDays = Math.floor(diffHours / 24); + + if (diffSecs < 60) return "Just now"; + if (diffMins < 60) return `${diffMins} min${diffMins === 1 ? "" : "s"} ago`; + if (diffHours < 24) return `${diffHours} hour${diffHours === 1 ? "" : "s"} ago`; + if (diffDays === 1) return "Yesterday"; + if (diffDays < 7) return `${diffDays} days ago`; + + return date.toLocaleDateString(); +} diff --git a/surfsense_web/lib/chat/new-chat-transport.ts b/surfsense_web/lib/chat/new-chat-transport.ts deleted file mode 100644 index 0bde3066d..000000000 --- a/surfsense_web/lib/chat/new-chat-transport.ts +++ /dev/null @@ -1,345 +0,0 @@ -/** - * Custom ChatModelAdapter for the new-chat feature using LocalRuntime. - * Connects directly to the FastAPI backend using the Vercel AI SDK Data Stream Protocol. - */ - -import type { ChatModelAdapter, ChatModelRunOptions } from "@assistant-ui/react"; -import { toast } from "sonner"; -import { getBearerToken } from "@/lib/auth-utils"; -import { - isPodcastGenerating, - looksLikePodcastRequest, - setActivePodcastTaskId, -} from "@/lib/chat/podcast-state"; - -interface NewChatAdapterConfig { - searchSpaceId: number; - chatId: number; -} - -interface ChatMessageForBackend { - role: "user" | "assistant"; - content: string; -} - -/** - * Converts assistant-ui messages to a simple format for the backend - */ -function convertMessagesToBackendFormat( - messages: ChatModelRunOptions["messages"] -): ChatMessageForBackend[] { - return messages - .filter((m) => m.role === "user" || m.role === "assistant") - .map((m) => { - // Extract text content from the message parts - let content = ""; - for (const part of m.content) { - if (part.type === "text") { - content += part.text; - } - } - return { - role: m.role as "user" | "assistant", - content: content.trim(), - }; - }) - .filter((m) => m.content.length > 0); // Filter out empty messages -} - -/** - * Represents an in-progress or completed tool call - */ -interface ToolCallState { - toolCallId: string; - toolName: string; - args: Record; - result?: unknown; -} - -/** - * Tools that should render custom UI in the chat. - * Other tools (like search_knowledge_base) will be hidden from the UI. - */ -const TOOLS_WITH_UI = new Set(["generate_podcast"]); - -/** - * Creates a ChatModelAdapter that connects to the FastAPI new_chat endpoint. - * - * The backend expects: - * - POST /api/v1/new_chat - * - Body: { chat_id: number, user_query: string, search_space_id: number, messages: [...] } - * - Returns: SSE stream with Vercel AI SDK Data Stream Protocol - */ -export function createNewChatAdapter(config: NewChatAdapterConfig): ChatModelAdapter { - const backendUrl = process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL || "http://localhost:8000"; - - return { - async *run({ messages, abortSignal }: ChatModelRunOptions) { - // Get the last user message - const lastUserMessage = messages.filter((m) => m.role === "user").pop(); - - if (!lastUserMessage) { - throw new Error("No user message found"); - } - - // Extract text content from the last user message - let userQuery = ""; - for (const part of lastUserMessage.content) { - if (part.type === "text") { - userQuery += part.text; - } - } - - if (!userQuery.trim()) { - throw new Error("User query cannot be empty"); - } - - // Check if user is requesting a podcast while one is already generating - if (isPodcastGenerating() && looksLikePodcastRequest(userQuery)) { - toast.warning("A podcast is already being generated. Please wait for it to complete."); - // Return a message telling the user to wait - yield { - content: [ - { - type: "text", - text: "A podcast is already being generated. Please wait for it to complete before requesting another one.", - }, - ], - }; - return; - } - - const token = getBearerToken(); - if (!token) { - throw new Error("Not authenticated. Please log in again."); - } - - // Convert all messages to backend format for chat history - const messageHistory = convertMessagesToBackendFormat(messages); - - const response = await fetch(`${backendUrl}/api/v1/new_chat`, { - method: "POST", - headers: { - "Content-Type": "application/json", - Authorization: `Bearer ${token}`, - }, - body: JSON.stringify({ - chat_id: config.chatId, - user_query: userQuery.trim(), - search_space_id: config.searchSpaceId, - messages: messageHistory, - }), - signal: abortSignal, - }); - - if (!response.ok) { - const errorText = await response.text().catch(() => "Unknown error"); - throw new Error(`Backend error (${response.status}): ${errorText}`); - } - - if (!response.body) { - throw new Error("No response body"); - } - - // Parse the SSE stream (Vercel AI SDK Data Stream Protocol) - const reader = response.body.getReader(); - const decoder = new TextDecoder(); - let buffer = ""; - let accumulatedText = ""; - - // Track tool calls by their ID - const toolCalls = new Map(); - - /** - * Build the content array with text and tool calls. - * Only includes tools that have custom UI (defined in TOOLS_WITH_UI). - */ - function buildContent() { - const content: Array< - | { type: "text"; text: string } - | { type: "tool-call"; toolCallId: string; toolName: string; args: Record; result?: unknown } - > = []; - - // Add text content if any - if (accumulatedText) { - content.push({ type: "text" as const, text: accumulatedText }); - } - - // Only add tool calls that have custom UI registered - // Other tools (like search_knowledge_base) are hidden from the UI - for (const toolCall of toolCalls.values()) { - if (TOOLS_WITH_UI.has(toolCall.toolName)) { - content.push({ - type: "tool-call" as const, - toolCallId: toolCall.toolCallId, - toolName: toolCall.toolName, - args: toolCall.args, - result: toolCall.result, - }); - } - } - - return content; - } - - try { - while (true) { - const { done, value } = await reader.read(); - if (done) { - break; - } - - const chunk = decoder.decode(value, { stream: true }); - buffer += chunk; - - // Split on double newlines (handle both \n\n and \r\n\r\n) - const events = buffer.split(/\r?\n\r?\n/); - buffer = events.pop() || ""; - - for (const event of events) { - // Each event can have multiple lines, find the data line - const lines = event.split(/\r?\n/); - for (const line of lines) { - if (!line.startsWith("data: ")) continue; - - const data = line.slice(6).trim(); // Remove "data: " prefix - - // Handle [DONE] marker - if (data === "[DONE]") { - continue; - } - - if (!data) continue; - - try { - const parsed = JSON.parse(data); - - // Handle different message types from the Data Stream Protocol - switch (parsed.type) { - case "text-delta": - accumulatedText += parsed.delta; - yield { content: buildContent() }; - break; - - case "tool-input-start": { - // Tool call is starting - create a new tool call entry - const { toolCallId, toolName } = parsed; - toolCalls.set(toolCallId, { - toolCallId, - toolName, - args: {}, - }); - // Yield to show tool is starting (running state) - yield { content: buildContent() }; - break; - } - - case "tool-input-available": { - // Tool input is complete - update the args - const { toolCallId, toolName, input } = parsed; - const existing = toolCalls.get(toolCallId); - if (existing) { - existing.args = input || {}; - } else { - // Create new entry if we missed tool-input-start - toolCalls.set(toolCallId, { - toolCallId, - toolName, - args: input || {}, - }); - } - yield { content: buildContent() }; - break; - } - - case "tool-output-available": { - // Tool execution is complete - add the result - const { toolCallId, output } = parsed; - const existing = toolCalls.get(toolCallId); - if (existing) { - existing.result = output; - - // If this is a podcast tool with status="processing", set the state immediately - // This ensures subsequent podcast requests are intercepted - if ( - existing.toolName === "generate_podcast" && - output && - typeof output === "object" && - "status" in output && - output.status === "processing" && - "task_id" in output && - typeof output.task_id === "string" - ) { - setActivePodcastTaskId(output.task_id); - } - } - yield { content: buildContent() }; - break; - } - - case "error": - throw new Error(parsed.errorText || "Unknown error from server"); - - // Other types like text-start, text-end, start-step, finish-step, etc. - // are handled implicitly - default: - break; - } - } catch (e) { - // Skip non-JSON lines - if (e instanceof SyntaxError) { - continue; - } - throw e; - } - } - } - } - - // Handle any remaining buffer - if (buffer.trim()) { - const lines = buffer.split(/\r?\n/); - for (const line of lines) { - if (line.startsWith("data: ")) { - const data = line.slice(6).trim(); - if (data && data !== "[DONE]") { - try { - const parsed = JSON.parse(data); - if (parsed.type === "text-delta") { - accumulatedText += parsed.delta; - yield { content: buildContent() }; - } else if (parsed.type === "tool-output-available") { - const { toolCallId, output } = parsed; - const existing = toolCalls.get(toolCallId); - if (existing) { - existing.result = output; - - // Set podcast state if processing - if ( - existing.toolName === "generate_podcast" && - output && - typeof output === "object" && - "status" in output && - output.status === "processing" && - "task_id" in output && - typeof output.task_id === "string" - ) { - setActivePodcastTaskId(output.task_id); - } - } - yield { content: buildContent() }; - } - } catch { - // Ignore parse errors - } - } - } - } - } - } finally { - reader.releaseLock(); - } - }, - }; -} - diff --git a/surfsense_web/lib/chat/thread-persistence.ts b/surfsense_web/lib/chat/thread-persistence.ts new file mode 100644 index 000000000..f25c47c87 --- /dev/null +++ b/surfsense_web/lib/chat/thread-persistence.ts @@ -0,0 +1,223 @@ +/** + * Thread persistence utilities for the new chat feature. + * Provides API functions and thread list management. + */ + +import { baseApiService } from "@/lib/apis/base-api.service"; + +// ============================================================================= +// Types matching backend schemas +// ============================================================================= + +export interface ThreadRecord { + id: number; + title: string; + archived: boolean; + search_space_id: number; + created_at: string; + updated_at: string; +} + +export interface MessageRecord { + id: number; + thread_id: number; + role: "user" | "assistant" | "system"; + content: unknown; + created_at: string; +} + +export interface ThreadListResponse { + threads: ThreadListItem[]; + archived_threads: ThreadListItem[]; +} + +export interface ThreadListItem { + id: number; + title: string; + archived: boolean; + createdAt: string; + updatedAt: string; +} + +export interface ThreadHistoryLoadResponse { + messages: MessageRecord[]; +} + +// ============================================================================= +// API Service Functions +// ============================================================================= + +/** + * Fetch list of threads for a search space + */ +export async function fetchThreads( + searchSpaceId: number +): Promise { + return baseApiService.get( + `/api/v1/threads?search_space_id=${searchSpaceId}` + ); +} + +/** + * Create a new thread + */ +export async function createThread( + searchSpaceId: number, + title = "New Chat" +): Promise { + return baseApiService.post("/api/v1/threads", undefined, { + body: { + title, + archived: false, + search_space_id: searchSpaceId, + }, + }); +} + +/** + * Get thread messages + */ +export async function getThreadMessages( + threadId: number +): Promise { + return baseApiService.get( + `/api/v1/threads/${threadId}` + ); +} + +/** + * Append a message to a thread + */ +export async function appendMessage( + threadId: number, + message: { role: "user" | "assistant" | "system"; content: unknown } +): Promise { + return baseApiService.post( + `/api/v1/threads/${threadId}/messages`, + undefined, + { body: message } + ); +} + +/** + * Update thread (rename, archive) + */ +export async function updateThread( + threadId: number, + updates: { title?: string; archived?: boolean } +): Promise { + return baseApiService.put( + `/api/v1/threads/${threadId}`, + undefined, + { body: updates } + ); +} + +/** + * Delete a thread + */ +export async function deleteThread(threadId: number): Promise { + await baseApiService.delete(`/api/v1/threads/${threadId}`); +} + +// ============================================================================= +// Thread List Manager (for thread list sidebar) +// ============================================================================= + +export interface ThreadListAdapterConfig { + searchSpaceId: number; + currentThreadId: number | null; + onThreadSwitch: (threadId: number) => void; + onNewThread: (threadId: number) => void; +} + +export interface ThreadListState { + threads: ThreadListItem[]; + archivedThreads: ThreadListItem[]; + isLoading: boolean; + error: string | null; +} + +/** + * Creates a thread list management object. + * This provides methods to manage the thread list for the sidebar. + */ +export function createThreadListManager(config: ThreadListAdapterConfig) { + return { + async loadThreads(): Promise { + try { + const response = await fetchThreads(config.searchSpaceId); + return { + threads: response.threads, + archivedThreads: response.archived_threads, + isLoading: false, + error: null, + }; + } catch (error) { + console.error("[ThreadListManager] Failed to load threads:", error); + return { + threads: [], + archivedThreads: [], + isLoading: false, + error: + error instanceof Error ? error.message : "Failed to load threads", + }; + } + }, + + async createNewThread(title = "New Chat"): Promise { + try { + const thread = await createThread(config.searchSpaceId, title); + config.onNewThread(thread.id); + return thread.id; + } catch (error) { + console.error("[ThreadListManager] Failed to create thread:", error); + return null; + } + }, + + switchToThread(threadId: number) { + config.onThreadSwitch(threadId); + }, + + async renameThread(threadId: number, newTitle: string): Promise { + try { + await updateThread(threadId, { title: newTitle }); + return true; + } catch (error) { + console.error("[ThreadListManager] Failed to rename thread:", error); + return false; + } + }, + + async archiveThread(threadId: number): Promise { + try { + await updateThread(threadId, { archived: true }); + return true; + } catch (error) { + console.error("[ThreadListManager] Failed to archive thread:", error); + return false; + } + }, + + async unarchiveThread(threadId: number): Promise { + try { + await updateThread(threadId, { archived: false }); + return true; + } catch (error) { + console.error("[ThreadListManager] Failed to unarchive thread:", error); + return false; + } + }, + + async deleteThread(threadId: number): Promise { + try { + await deleteThread(threadId); + return true; + } catch (error) { + console.error("[ThreadListManager] Failed to delete thread:", error); + return false; + } + }, + }; +} From b5e20e7515b34a0a28d213b52da8fa2667bd92b6 Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Sun, 21 Dec 2025 16:32:55 -0800 Subject: [PATCH 19/38] feat: old chat to new-chat with persistance --- .../app/routes/new_chat_routes.py | 76 +++++- .../dashboard/[search_space_id]/layout.tsx | 2 +- .../new-chat/[[...chat_id]]/page.tsx | 45 ++-- .../assistant-ui/inline-citation.tsx | 1 - .../components/assistant-ui/markdown-text.tsx | 20 +- .../components/assistant-ui/thread-list.tsx | 23 +- surfsense_web/components/markdown-viewer.tsx | 22 +- .../new-chat/source-detail-panel.tsx | 216 +++++++++--------- .../components/sidebar/AppSidebarProvider.tsx | 131 +++++------ .../components/sidebar/all-chats-sidebar.tsx | 212 ++++++++++++----- surfsense_web/components/tool-ui/audio.tsx | 47 +--- .../components/tool-ui/generate-podcast.tsx | 19 +- surfsense_web/components/tool-ui/index.ts | 1 - surfsense_web/lib/chat/podcast-state.ts | 1 - surfsense_web/lib/chat/thread-persistence.ts | 50 ++-- surfsense_web/messages/en.json | 8 +- surfsense_web/tsconfig.json | 1 - 17 files changed, 490 insertions(+), 385 deletions(-) diff --git a/surfsense_backend/app/routes/new_chat_routes.py b/surfsense_backend/app/routes/new_chat_routes.py index c3102db67..209c25a15 100644 --- a/surfsense_backend/app/routes/new_chat_routes.py +++ b/surfsense_backend/app/routes/new_chat_routes.py @@ -51,6 +51,7 @@ router = APIRouter() @router.get("/threads", response_model=ThreadListResponse) async def list_threads( search_space_id: int, + limit: int | None = None, session: AsyncSession = Depends(get_async_session), user: User = Depends(current_active_user), ): @@ -58,6 +59,10 @@ async def list_threads( List all threads for the current user in a search space. Returns threads and archived_threads for ThreadListPrimitive. + Args: + search_space_id: The search space to list threads for + limit: Optional limit on number of threads to return (applies to active threads only) + Requires CHATS_READ permission. """ try: @@ -91,14 +96,18 @@ async def list_threads( id=thread.id, title=thread.title, archived=thread.archived, - createdAt=thread.created_at, - updatedAt=thread.updated_at, + created_at=thread.created_at, + updated_at=thread.updated_at, ) if thread.archived: archived_threads.append(item) else: threads.append(item) + # Apply limit to active threads if specified + if limit is not None and limit > 0: + threads = threads[:limit] + return ThreadListResponse(threads=threads, archived_threads=archived_threads) except HTTPException: @@ -114,6 +123,69 @@ async def list_threads( ) from None +@router.get("/threads/search", response_model=list[ThreadListItem]) +async def search_threads( + search_space_id: int, + title: str, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Search threads by title in a search space. + + Args: + search_space_id: The search space to search in + title: The search query (case-insensitive partial match) + + Requires CHATS_READ permission. + """ + try: + await check_permission( + session, + user, + search_space_id, + Permission.CHATS_READ.value, + "You don't have permission to read chats in this search space", + ) + + # Search threads by title (case-insensitive) + query = ( + select(NewChatThread) + .filter( + NewChatThread.search_space_id == search_space_id, + NewChatThread.user_id == user.id, + NewChatThread.title.ilike(f"%{title}%"), + ) + .order_by(NewChatThread.updated_at.desc()) + ) + + result = await session.execute(query) + threads = result.scalars().all() + + return [ + ThreadListItem( + id=thread.id, + title=thread.title, + archived=thread.archived, + created_at=thread.created_at, + updated_at=thread.updated_at, + ) + for thread in threads + ] + + except HTTPException: + raise + except OperationalError: + raise HTTPException( + status_code=503, detail="Database operation failed. Please try again later." + ) from None + except Exception as e: + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred while searching threads: {e!s}", + ) from None + + @router.post("/threads", response_model=NewChatThreadRead) async def create_thread( thread: NewChatThreadCreate, diff --git a/surfsense_web/app/dashboard/[search_space_id]/layout.tsx b/surfsense_web/app/dashboard/[search_space_id]/layout.tsx index 814cf49f4..ce2c778c5 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/layout.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/layout.tsx @@ -29,7 +29,7 @@ export default function DashboardLayout({ const customNavMain = [ { title: "Chat", - url: `/dashboard/${search_space_id}/researcher`, + url: `/dashboard/${search_space_id}/new-chat`, icon: "SquareTerminal", items: [], }, diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index ab880813e..317209429 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -2,26 +2,26 @@ import { AssistantRuntimeProvider, - useExternalStoreRuntime, type ThreadMessageLike, + useExternalStoreRuntime, } from "@assistant-ui/react"; import { useParams, useRouter } from "next/navigation"; import { useCallback, useEffect, useMemo, useRef, useState } from "react"; +import { toast } from "sonner"; import { Thread } from "@/components/assistant-ui/thread"; import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; -import { - createThread, - getThreadMessages, - appendMessage, - type MessageRecord, -} from "@/lib/chat/thread-persistence"; import { getBearerToken } from "@/lib/auth-utils"; -import { toast } from "sonner"; import { isPodcastGenerating, looksLikePodcastRequest, setActivePodcastTaskId, } from "@/lib/chat/podcast-state"; +import { + appendMessage, + createThread, + getThreadMessages, + type MessageRecord, +} from "@/lib/chat/thread-persistence"; /** * Convert backend message to assistant-ui ThreadMessageLike format @@ -223,8 +223,7 @@ export default function NewChatPage() { ]); try { - const backendUrl = - process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL || "http://localhost:8000"; + const backendUrl = process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL || "http://localhost:8000"; // Build message history for context const messageHistory = messages @@ -232,11 +231,7 @@ export default function NewChatPage() { .map((m) => { let text = ""; for (const part of m.content) { - if ( - typeof part === "object" && - part.type === "text" && - "text" in part - ) { + if (typeof part === "object" && part.type === "text" && "text" in part) { text += part.text; } } @@ -296,9 +291,7 @@ export default function NewChatPage() { accumulatedText += parsed.delta; setMessages((prev) => prev.map((m) => - m.id === assistantMsgId - ? { ...m, content: buildContent() } - : m + m.id === assistantMsgId ? { ...m, content: buildContent() } : m ) ); break; @@ -311,9 +304,7 @@ export default function NewChatPage() { }); setMessages((prev) => prev.map((m) => - m.id === assistantMsgId - ? { ...m, content: buildContent() } - : m + m.id === assistantMsgId ? { ...m, content: buildContent() } : m ) ); break; @@ -329,9 +320,7 @@ export default function NewChatPage() { }); setMessages((prev) => prev.map((m) => - m.id === assistantMsgId - ? { ...m, content: buildContent() } - : m + m.id === assistantMsgId ? { ...m, content: buildContent() } : m ) ); break; @@ -351,9 +340,7 @@ export default function NewChatPage() { } setMessages((prev) => prev.map((m) => - m.id === assistantMsgId - ? { ...m, content: buildContent() } - : m + m.id === assistantMsgId ? { ...m, content: buildContent() } : m ) ); break; @@ -379,9 +366,7 @@ export default function NewChatPage() { appendMessage(threadId, { role: "assistant", content: finalContent, - }).catch((err) => - console.error("Failed to persist assistant message:", err) - ); + }).catch((err) => console.error("Failed to persist assistant message:", err)); } } catch (error) { if (error instanceof Error && error.name === "AbortError") { diff --git a/surfsense_web/components/assistant-ui/inline-citation.tsx b/surfsense_web/components/assistant-ui/inline-citation.tsx index cdecb13ff..065f37e8e 100644 --- a/surfsense_web/components/assistant-ui/inline-citation.tsx +++ b/surfsense_web/components/assistant-ui/inline-citation.tsx @@ -39,4 +39,3 @@ export const InlineCitation: FC = ({ chunkId, citationNumbe ); }; - diff --git a/surfsense_web/components/assistant-ui/markdown-text.tsx b/surfsense_web/components/assistant-ui/markdown-text.tsx index ff4bcbef5..41d6143b9 100644 --- a/surfsense_web/components/assistant-ui/markdown-text.tsx +++ b/surfsense_web/components/assistant-ui/markdown-text.tsx @@ -9,11 +9,10 @@ import { useIsMarkdownCodeBlock, } from "@assistant-ui/react-markdown"; import { CheckIcon, CopyIcon } from "lucide-react"; -import { type FC, type ReactNode, memo, useState } from "react"; +import { type FC, memo, type ReactNode, useState } from "react"; import remarkGfm from "remark-gfm"; - -import { TooltipIconButton } from "@/components/assistant-ui/tooltip-icon-button"; import { InlineCitation } from "@/components/assistant-ui/inline-citation"; +import { TooltipIconButton } from "@/components/assistant-ui/tooltip-icon-button"; import { cn } from "@/lib/utils"; // Citation pattern: [citation:CHUNK_ID] @@ -212,18 +211,12 @@ const defaultComponents = memoizeMarkdownComponents({ ), h6: ({ className, children, ...props }) => ( -
          +
          {processChildrenWithCitations(children)}
          ), p: ({ className, children, ...props }) => ( -

          +

          {processChildrenWithCitations(children)}

          ), @@ -236,10 +229,7 @@ const defaultComponents = memoizeMarkdownComponents({ ), blockquote: ({ className, children, ...props }) => ( -
          +
          {processChildrenWithCitations(children)}
          ), diff --git a/surfsense_web/components/assistant-ui/thread-list.tsx b/surfsense_web/components/assistant-ui/thread-list.tsx index de479e6b8..f65acd5c6 100644 --- a/surfsense_web/components/assistant-ui/thread-list.tsx +++ b/surfsense_web/components/assistant-ui/thread-list.tsx @@ -1,9 +1,15 @@ "use client"; -import { useCallback, useEffect, useState } from "react"; +import { + ArchiveIcon, + MessageSquareIcon, + MoreVerticalIcon, + PlusIcon, + RotateCcwIcon, + TrashIcon, +} from "lucide-react"; import { useRouter } from "next/navigation"; -import { ArchiveIcon, MessageSquareIcon, PlusIcon, TrashIcon, MoreVerticalIcon, RotateCcwIcon } from "lucide-react"; -import { cn } from "@/lib/utils"; +import { useCallback, useEffect, useState } from "react"; import { Button } from "@/components/ui/button"; import { DropdownMenu, @@ -13,10 +19,11 @@ import { DropdownMenuTrigger, } from "@/components/ui/dropdown-menu"; import { - type ThreadListItem, createThreadListManager, + type ThreadListItem, type ThreadListState, } from "@/lib/chat/thread-persistence"; +import { cn } from "@/lib/utils"; interface ThreadListProps { searchSpaceId: number; @@ -123,7 +130,13 @@ export function ThreadList({ searchSpaceId, currentThreadId, className }: Thread {/* Header with New Chat button */}

          Conversations

          -
          diff --git a/surfsense_web/components/markdown-viewer.tsx b/surfsense_web/components/markdown-viewer.tsx index a0686e1ad..5318ba5d1 100644 --- a/surfsense_web/components/markdown-viewer.tsx +++ b/surfsense_web/components/markdown-viewer.tsx @@ -1,6 +1,6 @@ import Image from "next/image"; -import { Streamdown } from "streamdown"; import type { Components } from "react-markdown"; +import { Streamdown } from "streamdown"; import { cn } from "@/lib/utils"; interface MarkdownViewerProps { @@ -68,12 +68,8 @@ export function MarkdownViewer({ content, className }: MarkdownViewerProps) { ), - th: ({ ...props }) => ( -
          - ), - td: ({ ...props }) => ( - - ), + th: ({ ...props }) => , + td: ({ ...props }) => , code: ({ className, children, ...props }) => { const match = /language-(\w+)/.exec(className || ""); const isInline = !match; @@ -96,11 +92,13 @@ export function MarkdownViewer({ content, className }: MarkdownViewerProps) { }; return ( -
          - +
          + {content}
          diff --git a/surfsense_web/components/new-chat/source-detail-panel.tsx b/surfsense_web/components/new-chat/source-detail-panel.tsx index a076586a7..6e3e7cce0 100644 --- a/surfsense_web/components/new-chat/source-detail-panel.tsx +++ b/surfsense_web/components/new-chat/source-detail-panel.tsx @@ -1,26 +1,26 @@ "use client"; import { useQuery } from "@tanstack/react-query"; -import { AnimatePresence, motion, useReducedMotion } from "motion/react"; import { + BookOpen, ChevronDown, ChevronUp, ExternalLink, - Loader2, - X, FileText, Hash, - BookOpen, + Loader2, Sparkles, + X, } from "lucide-react"; +import { AnimatePresence, motion, useReducedMotion } from "motion/react"; import type React from "react"; -import { type ReactNode, forwardRef, useCallback, useEffect, useRef, useState } from "react"; +import { forwardRef, type ReactNode, useCallback, useEffect, useRef, useState } from "react"; import { createPortal } from "react-dom"; import { MarkdownViewer } from "@/components/markdown-viewer"; +import { Badge } from "@/components/ui/badge"; import { Button } from "@/components/ui/button"; import { Collapsible, CollapsibleContent, CollapsibleTrigger } from "@/components/ui/collapsible"; import { ScrollArea } from "@/components/ui/scroll-area"; -import { Badge } from "@/components/ui/badge"; import { documentsApiService } from "@/lib/apis/documents-api.service"; import { cacheKeys } from "@/lib/query-client/cache-keys"; import { cn } from "@/lib/utils"; @@ -70,9 +70,7 @@ const ChunkCard = forwardRef( )} > {/* Cited indicator glow effect */} - {isCited && ( -
          - )} + {isCited &&
          } {/* Header */}
          @@ -87,9 +85,7 @@ const ChunkCard = forwardRef( > {index + 1}
          - - of {totalChunks} chunks - + of {totalChunks} chunks
          {isCited && ( @@ -152,86 +148,97 @@ export function SourceDetailPanel({ const citedChunkIndex = documentData?.chunks?.findIndex((chunk) => chunk.id === chunkId) ?? -1; // Simple scroll function that scrolls to a chunk by index - const scrollToChunkByIndex = useCallback((chunkIndex: number, smooth = true) => { - const scrollContainer = scrollAreaRef.current; - if (!scrollContainer) return; + const scrollToChunkByIndex = useCallback( + (chunkIndex: number, smooth = true) => { + const scrollContainer = scrollAreaRef.current; + if (!scrollContainer) return; - const viewport = scrollContainer.querySelector( - '[data-radix-scroll-area-viewport]' - ) as HTMLElement | null; - if (!viewport) return; + const viewport = scrollContainer.querySelector( + "[data-radix-scroll-area-viewport]" + ) as HTMLElement | null; + if (!viewport) return; - const chunkElement = scrollContainer.querySelector( - `[data-chunk-index="${chunkIndex}"]` - ) as HTMLElement | null; - if (!chunkElement) return; + const chunkElement = scrollContainer.querySelector( + `[data-chunk-index="${chunkIndex}"]` + ) as HTMLElement | null; + if (!chunkElement) return; - // Get positions using getBoundingClientRect for accuracy - const viewportRect = viewport.getBoundingClientRect(); - const chunkRect = chunkElement.getBoundingClientRect(); + // Get positions using getBoundingClientRect for accuracy + const viewportRect = viewport.getBoundingClientRect(); + const chunkRect = chunkElement.getBoundingClientRect(); - // Calculate where to scroll to center the chunk - const currentScrollTop = viewport.scrollTop; - const chunkTopRelativeToViewport = chunkRect.top - viewportRect.top + currentScrollTop; - const scrollTarget = chunkTopRelativeToViewport - (viewportRect.height / 2) + (chunkRect.height / 2); + // Calculate where to scroll to center the chunk + const currentScrollTop = viewport.scrollTop; + const chunkTopRelativeToViewport = chunkRect.top - viewportRect.top + currentScrollTop; + const scrollTarget = + chunkTopRelativeToViewport - viewportRect.height / 2 + chunkRect.height / 2; - viewport.scrollTo({ - top: Math.max(0, scrollTarget), - behavior: smooth && !shouldReduceMotion ? "smooth" : "auto", - }); - - setActiveChunkIndex(chunkIndex); - }, [shouldReduceMotion]); - - // Callback ref for the cited chunk - scrolls when the element mounts - const citedChunkRefCallback = useCallback((node: HTMLDivElement | null) => { - if (node && !hasScrolledRef.current && open) { - hasScrolledRef.current = true; // Mark immediately to prevent duplicate scrolls - - // Store the node reference for the delayed scroll - const scrollToCitedChunk = () => { - const scrollContainer = scrollAreaRef.current; - if (!scrollContainer || !node.isConnected) return false; - - const viewport = scrollContainer.querySelector( - '[data-radix-scroll-area-viewport]' - ) as HTMLElement | null; - if (!viewport) return false; - - // Get positions - const viewportRect = viewport.getBoundingClientRect(); - const chunkRect = node.getBoundingClientRect(); - - // Calculate scroll position to center the chunk - const currentScrollTop = viewport.scrollTop; - const chunkTopRelativeToViewport = chunkRect.top - viewportRect.top + currentScrollTop; - const scrollTarget = chunkTopRelativeToViewport - (viewportRect.height / 2) + (chunkRect.height / 2); - - viewport.scrollTo({ - top: Math.max(0, scrollTarget), - behavior: "auto", // Instant scroll for initial positioning - }); - - return true; - }; - - // Scroll multiple times with delays to handle progressive content rendering - // Each subsequent scroll will correct for any layout shifts - const scrollAttempts = [50, 150, 300, 600, 1000]; - - scrollAttempts.forEach((delay) => { - setTimeout(() => { - scrollToCitedChunk(); - }, delay); + viewport.scrollTo({ + top: Math.max(0, scrollTarget), + behavior: smooth && !shouldReduceMotion ? "smooth" : "auto", }); - // After final attempt, mark state as scrolled - setTimeout(() => { - setHasScrolledToCited(true); - setActiveChunkIndex(citedChunkIndex); - }, scrollAttempts[scrollAttempts.length - 1] + 50); - } - }, [open, citedChunkIndex]); + setActiveChunkIndex(chunkIndex); + }, + [shouldReduceMotion] + ); + + // Callback ref for the cited chunk - scrolls when the element mounts + const citedChunkRefCallback = useCallback( + (node: HTMLDivElement | null) => { + if (node && !hasScrolledRef.current && open) { + hasScrolledRef.current = true; // Mark immediately to prevent duplicate scrolls + + // Store the node reference for the delayed scroll + const scrollToCitedChunk = () => { + const scrollContainer = scrollAreaRef.current; + if (!scrollContainer || !node.isConnected) return false; + + const viewport = scrollContainer.querySelector( + "[data-radix-scroll-area-viewport]" + ) as HTMLElement | null; + if (!viewport) return false; + + // Get positions + const viewportRect = viewport.getBoundingClientRect(); + const chunkRect = node.getBoundingClientRect(); + + // Calculate scroll position to center the chunk + const currentScrollTop = viewport.scrollTop; + const chunkTopRelativeToViewport = chunkRect.top - viewportRect.top + currentScrollTop; + const scrollTarget = + chunkTopRelativeToViewport - viewportRect.height / 2 + chunkRect.height / 2; + + viewport.scrollTo({ + top: Math.max(0, scrollTarget), + behavior: "auto", // Instant scroll for initial positioning + }); + + return true; + }; + + // Scroll multiple times with delays to handle progressive content rendering + // Each subsequent scroll will correct for any layout shifts + const scrollAttempts = [50, 150, 300, 600, 1000]; + + scrollAttempts.forEach((delay) => { + setTimeout(() => { + scrollToCitedChunk(); + }, delay); + }); + + // After final attempt, mark state as scrolled + setTimeout( + () => { + setHasScrolledToCited(true); + setActiveChunkIndex(citedChunkIndex); + }, + scrollAttempts[scrollAttempts.length - 1] + 50 + ); + } + }, + [open, citedChunkIndex] + ); // Reset scroll state when panel closes useEffect(() => { @@ -271,9 +278,12 @@ export function SourceDetailPanel({ window.open(clickUrl, "_blank", "noopener,noreferrer"); }; - const scrollToChunk = useCallback((index: number) => { - scrollToChunkByIndex(index, true); - }, [scrollToChunkByIndex]); + const scrollToChunk = useCallback( + (index: number) => { + scrollToChunkByIndex(index, true); + }, + [scrollToChunkByIndex] + ); const panelContent = ( @@ -320,7 +330,8 @@ export function SourceDetailPanel({ : sourceType && formatDocumentType(sourceType)} {documentData?.chunks && ( - • {documentData.chunks.length} chunk{documentData.chunks.length !== 1 ? "s" : ""} + • {documentData.chunks.length} chunk + {documentData.chunks.length !== 1 ? "s" : ""} )}

          @@ -378,9 +389,12 @@ export function SourceDetailPanel({
          -

          Failed to load document

          +

          + Failed to load document +

          - {documentByChunkFetchingError.message || "An unexpected error occurred. Please try again."} + {documentByChunkFetchingError.message || + "An unexpected error occurred. Please try again."}

          + {/* Tab toggle for active/archived (only show when not searching) */} + {!isSearchMode && ( +
          + + +
          + )} +
          {isLoading ? ( @@ -160,19 +231,21 @@ export function AllChatsSidebar({ open, onOpenChange, searchSpaceId }: AllChatsS
          {t("error_loading_chats") || "Error loading chats"}
          - ) : chats.length > 0 ? ( + ) : threads.length > 0 ? (
          - {chats.map((chat) => { - const isDeleting = deletingChatId === chat.id; + {threads.map((thread) => { + const isDeleting = deletingThreadId === thread.id; + const isArchiving = archivingThreadId === thread.id; + const isBusy = isDeleting || isArchiving; return (
          {/* Main clickable area for navigation */} @@ -180,23 +253,23 @@ export function AllChatsSidebar({ open, onOpenChange, searchSpaceId }: AllChatsS

          - {t("created") || "Created"}:{" "} - {format(new Date(chat.created_at), "MMM d, yyyy 'at' h:mm a")} + {t("updated") || "Updated"}:{" "} + {format(new Date(thread.updatedAt), "MMM d, yyyy 'at' h:mm a")}

          - {/* Actions dropdown - separate from main click area */} + {/* Actions dropdown */}
          diff --git a/surfsense_web/components/tool-ui/audio.tsx b/surfsense_web/components/tool-ui/audio.tsx index 8adf8c498..19098d5b8 100644 --- a/surfsense_web/components/tool-ui/audio.tsx +++ b/surfsense_web/components/tool-ui/audio.tsx @@ -25,15 +25,7 @@ function formatTime(seconds: number): string { return `${mins}:${secs.toString().padStart(2, "0")}`; } -export function Audio({ - id, - src, - title, - description, - artwork, - durationMs, - className, -}: AudioProps) { +export function Audio({ id, src, title, description, artwork, durationMs, className }: AudioProps) { const audioRef = useRef(null); const [isPlaying, setIsPlaying] = useState(false); const [currentTime, setCurrentTime] = useState(0); @@ -158,7 +150,7 @@ export function Audio({
          @@ -177,7 +169,7 @@ export function Audio({ id={id} className={cn( "group relative overflow-hidden rounded-xl border bg-gradient-to-br from-background to-muted/30 p-4 shadow-sm transition-all hover:shadow-md", - className, + className )} > {/* Hidden audio element */} @@ -190,13 +182,7 @@ export function Audio({
          {artwork ? ( - {title} + {title} ) : (
          @@ -224,9 +210,7 @@ export function Audio({

          {title}

          {description && ( -

          - {description} -

          +

          {description}

          )}
          @@ -271,17 +255,8 @@ export function Audio({ {/* Volume control */}
          - {/* Download button */} - @@ -307,4 +277,3 @@ export function Audio({
          ); } - diff --git a/surfsense_web/components/tool-ui/generate-podcast.tsx b/surfsense_web/components/tool-ui/generate-podcast.tsx index 459307cb6..9f7248082 100644 --- a/surfsense_web/components/tool-ui/generate-podcast.tsx +++ b/surfsense_web/components/tool-ui/generate-podcast.tsx @@ -4,13 +4,10 @@ import { makeAssistantToolUI } from "@assistant-ui/react"; import { AlertCircleIcon, Loader2Icon, MicIcon } from "lucide-react"; import { useCallback, useEffect, useRef, useState } from "react"; import { Audio } from "@/components/tool-ui/audio"; +import type { PodcastTranscriptEntry } from "@/contracts/types/podcast.types"; import { baseApiService } from "@/lib/apis/base-api.service"; import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; -import { - clearActivePodcastTaskId, - setActivePodcastTaskId, -} from "@/lib/chat/podcast-state"; -import type { PodcastTranscriptEntry } from "@/contracts/types/podcast.types"; +import { clearActivePodcastTaskId, setActivePodcastTaskId } from "@/lib/chat/podcast-state"; /** * Type definitions for the generate_podcast tool @@ -223,9 +220,7 @@ function PodcastPlayer({
          {transcript.map((entry, idx) => (
          - - Speaker {entry.speaker_id + 1}: - {" "} + Speaker {entry.speaker_id + 1}:{" "} {entry.dialog}
          ))} @@ -239,13 +234,7 @@ function PodcastPlayer({ /** * Polling component that checks task status and shows player when complete */ -function PodcastTaskPoller({ - taskId, - title, -}: { - taskId: string; - title: string; -}) { +function PodcastTaskPoller({ taskId, title }: { taskId: string; title: string }) { const [taskStatus, setTaskStatus] = useState({ status: "processing" }); const pollingRef = useRef(null); diff --git a/surfsense_web/components/tool-ui/index.ts b/surfsense_web/components/tool-ui/index.ts index 4007a39fe..6125f625f 100644 --- a/surfsense_web/components/tool-ui/index.ts +++ b/surfsense_web/components/tool-ui/index.ts @@ -8,4 +8,3 @@ export { Audio } from "./audio"; export { GeneratePodcastToolUI } from "./generate-podcast"; - diff --git a/surfsense_web/lib/chat/podcast-state.ts b/surfsense_web/lib/chat/podcast-state.ts index 782a31bf6..061a89b63 100644 --- a/surfsense_web/lib/chat/podcast-state.ts +++ b/surfsense_web/lib/chat/podcast-state.ts @@ -71,4 +71,3 @@ export function looksLikePodcastRequest(message: string): boolean { return podcastPatterns.some((pattern) => pattern.test(message)); } - diff --git a/surfsense_web/lib/chat/thread-persistence.ts b/surfsense_web/lib/chat/thread-persistence.ts index f25c47c87..b84c5907b 100644 --- a/surfsense_web/lib/chat/thread-persistence.ts +++ b/surfsense_web/lib/chat/thread-persistence.ts @@ -51,11 +51,26 @@ export interface ThreadHistoryLoadResponse { * Fetch list of threads for a search space */ export async function fetchThreads( - searchSpaceId: number + searchSpaceId: number, + limit?: number ): Promise { - return baseApiService.get( - `/api/v1/threads?search_space_id=${searchSpaceId}` - ); + const params = new URLSearchParams({ search_space_id: String(searchSpaceId) }); + if (limit) params.append("limit", String(limit)); + return baseApiService.get(`/api/v1/threads?${params}`); +} + +/** + * Search threads by title + */ +export async function searchThreads( + searchSpaceId: number, + title: string +): Promise { + const params = new URLSearchParams({ + search_space_id: String(searchSpaceId), + title, + }); + return baseApiService.get(`/api/v1/threads/search?${params}`); } /** @@ -77,12 +92,8 @@ export async function createThread( /** * Get thread messages */ -export async function getThreadMessages( - threadId: number -): Promise { - return baseApiService.get( - `/api/v1/threads/${threadId}` - ); +export async function getThreadMessages(threadId: number): Promise { + return baseApiService.get(`/api/v1/threads/${threadId}`); } /** @@ -92,11 +103,9 @@ export async function appendMessage( threadId: number, message: { role: "user" | "assistant" | "system"; content: unknown } ): Promise { - return baseApiService.post( - `/api/v1/threads/${threadId}/messages`, - undefined, - { body: message } - ); + return baseApiService.post(`/api/v1/threads/${threadId}/messages`, undefined, { + body: message, + }); } /** @@ -106,11 +115,9 @@ export async function updateThread( threadId: number, updates: { title?: string; archived?: boolean } ): Promise { - return baseApiService.put( - `/api/v1/threads/${threadId}`, - undefined, - { body: updates } - ); + return baseApiService.put(`/api/v1/threads/${threadId}`, undefined, { + body: updates, + }); } /** @@ -159,8 +166,7 @@ export function createThreadListManager(config: ThreadListAdapterConfig) { threads: [], archivedThreads: [], isLoading: false, - error: - error instanceof Error ? error.message : "Failed to load threads", + error: error instanceof Error ? error.message : "Failed to load threads", }; } }, diff --git a/surfsense_web/messages/en.json b/surfsense_web/messages/en.json index 43ec2b0aa..63ade6802 100644 --- a/surfsense_web/messages/en.json +++ b/surfsense_web/messages/en.json @@ -669,7 +669,13 @@ "more_options": "More options", "clear_search": "Clear search", "view_all_notes": "View all notes", - "add_note": "Add note" + "add_note": "Add note", + "archive": "Archive", + "unarchive": "Restore", + "chat_archived": "Chat archived", + "chat_unarchived": "Chat restored", + "no_archived_chats": "No archived chats", + "error_archiving_chat": "Failed to archive chat" }, "errors": { "something_went_wrong": "Something went wrong", diff --git a/surfsense_web/tsconfig.json b/surfsense_web/tsconfig.json index faa819807..06c759b45 100644 --- a/surfsense_web/tsconfig.json +++ b/surfsense_web/tsconfig.json @@ -33,4 +33,3 @@ ], "exclude": ["node_modules"] } - From bb971460fc41fef92c1dcc6f753ae286dec0c953 Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Sun, 21 Dec 2025 19:33:52 -0800 Subject: [PATCH 20/38] feat: migrated old chat to new chat --- .../49_migrate_old_chats_to_new_chat.py | 216 ++ .../app/agents/researcher/__init__.py | 0 .../app/agents/researcher/configuration.py | 30 - .../app/agents/researcher/graph.py | 47 - .../app/agents/researcher/nodes.py | 1785 ----------------- .../app/agents/researcher/prompts.py | 140 -- .../agents/researcher/qna_agent/__init__.py | 5 - .../researcher/qna_agent/configuration.py | 31 - .../researcher/qna_agent/default_prompts.py | 201 -- .../app/agents/researcher/qna_agent/graph.py | 21 - .../app/agents/researcher/qna_agent/nodes.py | 297 --- .../app/agents/researcher/qna_agent/state.py | 32 - .../app/agents/researcher/state.py | 38 - .../app/agents/researcher/utils.py | 292 --- surfsense_backend/app/db.py | 51 - surfsense_backend/app/routes/__init__.py | 6 +- surfsense_backend/app/routes/chats_routes.py | 617 ------ .../app/routes/new_chat_routes.py | 120 +- .../app/routes/podcasts_routes.py | 509 ----- surfsense_backend/app/schemas/__init__.py | 110 +- surfsense_backend/app/schemas/chats.py | 80 - surfsense_backend/app/schemas/new_chat.py | 21 + surfsense_backend/app/schemas/podcasts.py | 33 - .../chat/stream_connector_search_results.py | 75 - .../app/tasks/chat/stream_new_chat.py | 2 +- 25 files changed, 368 insertions(+), 4391 deletions(-) create mode 100644 surfsense_backend/alembic/versions/49_migrate_old_chats_to_new_chat.py delete mode 100644 surfsense_backend/app/agents/researcher/__init__.py delete mode 100644 surfsense_backend/app/agents/researcher/configuration.py delete mode 100644 surfsense_backend/app/agents/researcher/graph.py delete mode 100644 surfsense_backend/app/agents/researcher/nodes.py delete mode 100644 surfsense_backend/app/agents/researcher/prompts.py delete mode 100644 surfsense_backend/app/agents/researcher/qna_agent/__init__.py delete mode 100644 surfsense_backend/app/agents/researcher/qna_agent/configuration.py delete mode 100644 surfsense_backend/app/agents/researcher/qna_agent/default_prompts.py delete mode 100644 surfsense_backend/app/agents/researcher/qna_agent/graph.py delete mode 100644 surfsense_backend/app/agents/researcher/qna_agent/nodes.py delete mode 100644 surfsense_backend/app/agents/researcher/qna_agent/state.py delete mode 100644 surfsense_backend/app/agents/researcher/state.py delete mode 100644 surfsense_backend/app/agents/researcher/utils.py delete mode 100644 surfsense_backend/app/routes/chats_routes.py delete mode 100644 surfsense_backend/app/routes/podcasts_routes.py delete mode 100644 surfsense_backend/app/schemas/chats.py delete mode 100644 surfsense_backend/app/schemas/podcasts.py delete mode 100644 surfsense_backend/app/tasks/chat/stream_connector_search_results.py diff --git a/surfsense_backend/alembic/versions/49_migrate_old_chats_to_new_chat.py b/surfsense_backend/alembic/versions/49_migrate_old_chats_to_new_chat.py new file mode 100644 index 000000000..2d188b4e1 --- /dev/null +++ b/surfsense_backend/alembic/versions/49_migrate_old_chats_to_new_chat.py @@ -0,0 +1,216 @@ +"""Migrate old chats to new_chat_threads and remove old tables + +Revision ID: 49 +Revises: 48 +Create Date: 2025-12-21 + +This migration: +1. Migrates data from old 'chats' table to 'new_chat_threads' and 'new_chat_messages' +2. Drops the 'podcasts' table (podcast data is not migrated as per user request) +3. Drops the 'chats' table +4. Removes the 'chattype' enum +""" + +import json +from collections.abc import Sequence +from datetime import datetime, timezone + +import sqlalchemy as sa + +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "49" +down_revision: str | None = "48" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def extract_text_content(content: str | dict | list) -> str: + """Extract plain text content from various message formats.""" + if isinstance(content, str): + return content + if isinstance(content, dict): + # Handle dict with 'text' key + if "text" in content: + return content["text"] + return str(content) + if isinstance(content, list): + # Handle list of parts (e.g., [{"type": "text", "text": "..."}]) + texts = [] + for part in content: + if isinstance(part, dict) and part.get("type") == "text": + texts.append(part.get("text", "")) + elif isinstance(part, str): + texts.append(part) + return "\n".join(texts) if texts else "" + return "" + + +def parse_timestamp(ts, fallback): + """Parse ISO timestamp string to datetime object.""" + if ts is None: + return fallback + if isinstance(ts, datetime): + return ts + if isinstance(ts, str): + try: + # Handle ISO format like '2025-11-26T22:43:34.399Z' + ts = ts.replace("Z", "+00:00") + return datetime.fromisoformat(ts) + except (ValueError, TypeError): + return fallback + return fallback + + +def upgrade() -> None: + """Migrate old chats to new_chat_threads and remove old tables.""" + connection = op.get_bind() + + # Get all old chats + old_chats = connection.execute( + sa.text(""" + SELECT id, title, messages, search_space_id, created_at + FROM chats + ORDER BY created_at ASC + """) + ).fetchall() + + print(f"[Migration 49] Found {len(old_chats)} old chats to migrate") + + migrated_count = 0 + for chat_id, title, messages_json, search_space_id, created_at in old_chats: + try: + # Parse messages JSON + if isinstance(messages_json, str): + messages = json.loads(messages_json) + else: + messages = messages_json or [] + + # Skip empty chats + if not messages: + print(f"[Migration 49] Skipping empty chat {chat_id}") + continue + + # Create new thread + result = connection.execute( + sa.text(""" + INSERT INTO new_chat_threads + (title, archived, search_space_id, created_at, updated_at) + VALUES (:title, FALSE, :search_space_id, :created_at, :created_at) + RETURNING id + """), + { + "title": title or "Migrated Chat", + "search_space_id": search_space_id, + "created_at": created_at, + }, + ) + new_thread_id = result.fetchone()[0] + + # Migrate messages - only user and assistant roles, skip SOURCES/TERMINAL_INFO + message_count = 0 + for msg in messages: + role_lower = msg.get("role", "").lower() + + # Only migrate user and assistant messages + if role_lower not in ("user", "assistant"): + continue + + # Convert to uppercase for database enum + role = role_lower.upper() + + # Extract content - handle various formats + content_raw = msg.get("content", "") + content_text = extract_text_content(content_raw) + + # Skip empty messages + if not content_text.strip(): + continue + + # Parse message timestamp + msg_created_at = parse_timestamp(msg.get("createdAt"), created_at) + + # Store content as JSONB array format for assistant-ui compatibility + content_list = [{"type": "text", "text": content_text}] + + # Use direct SQL with string interpolation for the enum since CAST doesn't work + # The enum value comes from trusted source (our own code), not user input + connection.execute( + sa.text(f""" + INSERT INTO new_chat_messages + (thread_id, role, content, created_at) + VALUES (:thread_id, '{role}', CAST(:content AS jsonb), :created_at) + """), + { + "thread_id": new_thread_id, + "content": json.dumps(content_list), + "created_at": msg_created_at, + }, + ) + message_count += 1 + + print( + f"[Migration 49] Migrated chat {chat_id} -> thread {new_thread_id} ({message_count} messages)" + ) + migrated_count += 1 + + except Exception as e: + print(f"[Migration 49] Error migrating chat {chat_id}: {e}") + # Re-raise to abort migration - we don't want partial data + raise + + print(f"[Migration 49] Successfully migrated {migrated_count} chats") + + # Drop podcasts table (FK references chats, so drop first) + print("[Migration 49] Dropping podcasts table...") + op.drop_table("podcasts") + + # Drop chats table + print("[Migration 49] Dropping chats table...") + op.drop_table("chats") + + # Drop chattype enum + print("[Migration 49] Dropping chattype enum...") + op.execute(sa.text("DROP TYPE IF EXISTS chattype")) + + print("[Migration 49] Migration complete!") + + +def downgrade() -> None: + """Recreate old tables (data cannot be restored).""" + # Recreate chattype enum + op.execute( + sa.text(""" + CREATE TYPE chattype AS ENUM ('QNA') + """) + ) + + # Recreate chats table + op.create_table( + "chats", + sa.Column("id", sa.Integer(), primary_key=True, index=True), + sa.Column("type", sa.Enum("QNA", name="chattype"), nullable=False), + sa.Column("title", sa.String(), nullable=False, index=True), + sa.Column("initial_connectors", sa.ARRAY(sa.String()), nullable=True), + sa.Column("messages", sa.JSON(), nullable=False), + sa.Column("state_version", sa.BigInteger(), nullable=False, default=1), + sa.Column("search_space_id", sa.Integer(), sa.ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False), + sa.Column("created_at", sa.TIMESTAMP(timezone=True), nullable=False, server_default=sa.func.now()), + ) + + # Recreate podcasts table + op.create_table( + "podcasts", + sa.Column("id", sa.Integer(), primary_key=True, index=True), + sa.Column("title", sa.String(), nullable=False, index=True), + sa.Column("podcast_transcript", sa.JSON(), nullable=False, server_default="{}"), + sa.Column("file_location", sa.String(500), nullable=False, server_default=""), + sa.Column("chat_id", sa.Integer(), sa.ForeignKey("chats.id", ondelete="CASCADE"), nullable=True), + sa.Column("chat_state_version", sa.BigInteger(), nullable=True), + sa.Column("search_space_id", sa.Integer(), sa.ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False), + sa.Column("created_at", sa.TIMESTAMP(timezone=True), nullable=False, server_default=sa.func.now()), + ) + + print("[Migration 49 Downgrade] Tables recreated (data not restored)") + diff --git a/surfsense_backend/app/agents/researcher/__init__.py b/surfsense_backend/app/agents/researcher/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/surfsense_backend/app/agents/researcher/configuration.py b/surfsense_backend/app/agents/researcher/configuration.py deleted file mode 100644 index c89592c65..000000000 --- a/surfsense_backend/app/agents/researcher/configuration.py +++ /dev/null @@ -1,30 +0,0 @@ -"""Define the configurable parameters for the agent.""" - -from __future__ import annotations - -from dataclasses import dataclass, fields - -from langchain_core.runnables import RunnableConfig - - -@dataclass(kw_only=True) -class Configuration: - """The configuration for the agent.""" - - # Input parameters provided at invocation - user_query: str - connectors_to_search: list[str] - user_id: str - search_space_id: int - document_ids_to_add_in_context: list[int] - language: str | None = None - top_k: int = 10 - - @classmethod - def from_runnable_config( - cls, config: RunnableConfig | None = None - ) -> Configuration: - """Create a Configuration instance from a RunnableConfig object.""" - configurable = (config.get("configurable") or {}) if config else {} - _fields = {f.name for f in fields(cls) if f.init} - return cls(**{k: v for k, v in configurable.items() if k in _fields}) diff --git a/surfsense_backend/app/agents/researcher/graph.py b/surfsense_backend/app/agents/researcher/graph.py deleted file mode 100644 index be2a1cff5..000000000 --- a/surfsense_backend/app/agents/researcher/graph.py +++ /dev/null @@ -1,47 +0,0 @@ -from langgraph.graph import StateGraph - -from .configuration import Configuration -from .nodes import ( - generate_further_questions, - handle_qna_workflow, - reformulate_user_query, -) -from .state import State - - -def build_graph(): - """ - Build and return the LangGraph workflow. - - This function constructs the researcher agent graph for Q&A workflow. - The workflow follows a simple path: - 1. Reformulate user query based on chat history - 2. Handle QNA workflow (fetch documents and generate answer) - 3. Generate follow-up questions - - Returns: - A compiled LangGraph workflow - """ - # Define a new graph with state class - workflow = StateGraph(State, config_schema=Configuration) - - # Add nodes to the graph - workflow.add_node("reformulate_user_query", reformulate_user_query) - workflow.add_node("handle_qna_workflow", handle_qna_workflow) - workflow.add_node("generate_further_questions", generate_further_questions) - - # Define the edges - simple linear flow for QNA - workflow.add_edge("__start__", "reformulate_user_query") - workflow.add_edge("reformulate_user_query", "handle_qna_workflow") - workflow.add_edge("handle_qna_workflow", "generate_further_questions") - workflow.add_edge("generate_further_questions", "__end__") - - # Compile the workflow into an executable graph - graph = workflow.compile() - graph.name = "Surfsense Researcher" # This defines the custom name in LangSmith - - return graph - - -# Compile the graph once when the module is loaded -graph = build_graph() diff --git a/surfsense_backend/app/agents/researcher/nodes.py b/surfsense_backend/app/agents/researcher/nodes.py deleted file mode 100644 index b16d4f0c1..000000000 --- a/surfsense_backend/app/agents/researcher/nodes.py +++ /dev/null @@ -1,1785 +0,0 @@ -import json -import logging -import traceback -from datetime import UTC, datetime, timedelta -from typing import Any - -from langchain_core.messages import HumanMessage, SystemMessage -from langchain_core.runnables import RunnableConfig -from langgraph.types import StreamWriter -from sqlalchemy.ext.asyncio import AsyncSession - -# Additional imports for document fetching -from sqlalchemy.future import select - -from app.db import Document -from app.services.connector_service import ConnectorService -from app.services.query_service import QueryService - -from .configuration import Configuration -from .prompts import get_further_questions_system_prompt -from .qna_agent.graph import graph as qna_agent_graph -from .state import State -from .utils import get_connector_emoji, get_connector_friendly_name - -# Time filter constants - hardcoded 2 year time range for now -DEFAULT_TIME_FILTER_YEARS = 2 - - -def extract_sources_from_documents( - all_documents: list[dict[str, Any]], -) -> list[dict[str, Any]]: - """ - Extract sources from **document-grouped** results and group them by document type. - - Args: - all_documents: List of document-grouped results from user-selected documents and connector-fetched documents - - Returns: - List of source objects grouped by type for streaming - """ - # Group sources by their source type - documents_by_type = {} - - for doc in all_documents: - document_info = doc.get("document", {}) or {} - source_type = doc.get("source", "UNKNOWN") - document_type = document_info.get("document_type", source_type) or source_type - group_type = document_type if document_type != "UNKNOWN" else source_type - if group_type not in documents_by_type: - documents_by_type[group_type] = [] - documents_by_type[group_type].append(doc) - - # Create source objects for each document type - source_objects = [] - for doc_type, docs in documents_by_type.items(): - sources_list = [] - - for doc in docs: - document_info = doc.get("document", {}) - metadata = document_info.get("metadata", {}) - url = ( - metadata.get("url") - or metadata.get("source") - or metadata.get("page_url") - or metadata.get("VisitedWebPageURL") - or "" - ) - - # Each chunk becomes a source entry so citations like [citation:] resolve in UI. - for chunk in doc.get("chunks", []) or []: - chunk_id = chunk.get("chunk_id") - chunk_content = (chunk.get("content") or "").strip() - description = ( - chunk_content - if len(chunk_content) <= 240 - else chunk_content[:240] + "..." - ) - sources_list.append( - { - "id": chunk_id, - "title": document_info.get("title", "Untitled Document"), - "description": description, - "url": url, - } - ) - - # Create group object - group_name = ( - get_connector_friendly_name(doc_type) - if doc_type != "UNKNOWN" - else "Unknown Sources" - ) - - source_object = { - "id": len(source_objects) + 1, - "name": group_name, - "type": doc_type, - "sources": sources_list, - } - - source_objects.append(source_object) - - return source_objects - - -async def fetch_documents_by_ids( - document_ids: list[int], search_space_id: int, db_session: AsyncSession -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """ - Fetch documents by their IDs within a search space. - - This function ensures that only documents belonging to the search space are fetched. - It fetches full documents and returns their chunks individually. - Also creates source objects for UI display, grouped by document type. - - Args: - document_ids: List of document IDs to fetch - search_space_id: The search space ID to filter by - db_session: The database session - - Returns: - Tuple of (source_objects, document_chunks) - similar to ConnectorService pattern - """ - if not document_ids: - return [], [] - - try: - # Query documents filtered by search space - result = await db_session.execute( - select(Document).filter( - Document.id.in_(document_ids), - Document.search_space_id == search_space_id, - ) - ) - documents = result.scalars().all() - - # Group documents by type for source object creation - documents_by_type: dict[str, list[Document]] = {} - formatted_documents: list[dict[str, Any]] = [] - - from app.db import Chunk - - for doc in documents: - # Fetch associated chunks for this document - chunks_query = ( - select(Chunk).where(Chunk.document_id == doc.id).order_by(Chunk.id) - ) - chunks_result = await db_session.execute(chunks_query) - chunks = chunks_result.scalars().all() - - doc_type = doc.document_type.value if doc.document_type else "UNKNOWN" - documents_by_type.setdefault(doc_type, []).append(doc) - - doc_group = { - "document_id": doc.id, - "content": "\n\n".join(c.content for c in chunks) - if chunks - else (doc.content or ""), - "score": 0.5, # High score since user explicitly selected these - "chunks": [{"chunk_id": c.id, "content": c.content} for c in chunks] - if chunks - else [], - "document": { - "id": doc.id, - "title": doc.title, - "document_type": doc_type, - "metadata": doc.document_metadata or {}, - }, - "source": doc_type, - } - formatted_documents.append(doc_group) - - # Create source objects for each document type (similar to ConnectorService) - source_objects = [] - connector_id_counter = 100 - - for doc_type, docs in documents_by_type.items(): - sources_list = [] - - for doc in docs: - metadata = doc.document_metadata or {} - - # Create type-specific source formatting (similar to ConnectorService) - if doc_type == "LINEAR_CONNECTOR": - # Extract Linear-specific metadata - issue_identifier = metadata.get("issue_identifier", "") - issue_title = metadata.get("issue_title", doc.title) - issue_state = metadata.get("state", "") - comment_count = metadata.get("comment_count", 0) - - # Create a more descriptive title for Linear issues - title = ( - f"Linear: {issue_identifier} - {issue_title}" - if issue_identifier - else f"Linear: {issue_title}" - ) - if issue_state: - title += f" ({issue_state})" - - # Create description - description = doc.content - if comment_count: - description += f" | Comments: {comment_count}" - - # Create URL - url = ( - f"https://linear.app/issue/{issue_identifier}" - if issue_identifier - else "" - ) - - elif doc_type == "SLACK_CONNECTOR": - # Extract Slack-specific metadata - channel_name = metadata.get("channel_name", "Unknown Channel") - channel_id = metadata.get("channel_id", "") - message_date = metadata.get("start_date", "") - - title = f"Slack: {channel_name}" - if message_date: - title += f" ({message_date})" - - description = doc.content - url = ( - f"https://slack.com/app_redirect?channel={channel_id}" - if channel_id - else "" - ) - - elif doc_type == "NOTION_CONNECTOR": - # Extract Notion-specific metadata - page_title = metadata.get("page_title", doc.title) - page_id = metadata.get("page_id", "") - - title = f"Notion: {page_title}" - description = doc.content - url = ( - f"https://notion.so/{page_id.replace('-', '')}" - if page_id - else "" - ) - - elif doc_type == "GITHUB_CONNECTOR": - title = f"GitHub: {doc.title}" - description = metadata.get( - "description", - (doc.content), - ) - url = metadata.get("url", "") - - elif doc_type == "YOUTUBE_VIDEO": - # Extract YouTube-specific metadata - video_title = metadata.get("video_title", doc.title) - video_id = metadata.get("video_id", "") - channel_name = metadata.get("channel_name", "") - - title = video_title - if channel_name: - title += f" - {channel_name}" - - description = metadata.get( - "description", - (doc.content), - ) - url = ( - f"https://www.youtube.com/watch?v={video_id}" - if video_id - else "" - ) - - elif doc_type == "DISCORD_CONNECTOR": - # Extract Discord-specific metadata - channel_name = metadata.get("channel_name", "Unknown Channel") - channel_id = metadata.get("channel_id", "") - guild_id = metadata.get("guild_id", "") - message_date = metadata.get("start_date", "") - - title = f"Discord: {channel_name}" - if message_date: - title += f" ({message_date})" - - description = doc.content - - if guild_id and channel_id: - url = f"https://discord.com/channels/{guild_id}/{channel_id}" - elif channel_id: - url = f"https://discord.com/channels/@me/{channel_id}" - else: - url = "" - - elif doc_type == "JIRA_CONNECTOR": - # Extract Jira-specific metadata - issue_key = metadata.get("issue_key", "Unknown Issue") - issue_title = metadata.get("issue_title", "Untitled Issue") - status = metadata.get("status", "") - priority = metadata.get("priority", "") - issue_type = metadata.get("issue_type", "") - - title = f"Jira: {issue_key} - {issue_title}" - if status: - title += f" ({status})" - - description = doc.content - if priority: - description += f" | Priority: {priority}" - if issue_type: - description += f" | Type: {issue_type}" - - # Construct Jira URL if we have the base URL - base_url = metadata.get("base_url", "") - if base_url and issue_key: - url = f"{base_url}/browse/{issue_key}" - else: - url = "" - - elif doc_type == "GOOGLE_CALENDAR_CONNECTOR": - # Extract Google Calendar-specific metadata - event_id = metadata.get("event_id", "Unknown Event") - event_summary = metadata.get("event_summary", "Untitled Event") - calendar_id = metadata.get("calendar_id", "") - start_time = metadata.get("start_time", "") - location = metadata.get("location", "") - - title = f"Calendar: {event_summary}" - if start_time: - # Format the start time for display - try: - if "T" in start_time: - from datetime import datetime - - start_dt = datetime.fromisoformat( - start_time.replace("Z", "+00:00") - ) - formatted_time = start_dt.strftime("%Y-%m-%d %H:%M") - title += f" ({formatted_time})" - else: - title += f" ({start_time})" - except Exception: - title += f" ({start_time})" - - elif doc_type == "AIRTABLE_CONNECTOR": - # Extract Airtable-specific metadata - base_name = metadata.get("base_name", "Unknown Base") - table_name = metadata.get("table_name", "Unknown Table") - record_id = metadata.get("record_id", "Unknown Record") - created_time = metadata.get("created_time", "") - - title = f"Airtable: {base_name} - {table_name}" - if record_id: - title += f" (Record: {record_id[:8]}...)" - if created_time: - # Format the created time for display - try: - if "T" in created_time: - from datetime import datetime - - created_dt = datetime.fromisoformat( - created_time.replace("Z", "+00:00") - ) - formatted_time = created_dt.strftime("%Y-%m-%d %H:%M") - title += f" - {formatted_time}" - except Exception: - pass - - description = doc.content - if location: - description += f" | Location: {location}" - if calendar_id and calendar_id != "primary": - description += f" | Calendar: {calendar_id}" - - # Construct Google Calendar URL - if event_id: - url = ( - f"https://calendar.google.com/calendar/event?eid={event_id}" - ) - else: - url = "" - - elif doc_type == "LUMA_CONNECTOR": - # Extract Luma-specific metadata - event_id = metadata.get("event_id", "") - event_name = metadata.get("event_name", "Untitled Event") - event_url = metadata.get("event_url", "") - start_time = metadata.get("start_time", "") - location_name = metadata.get("location_name", "") - meeting_url = metadata.get("meeting_url", "") - - title = f"Luma: {event_name}" - if start_time: - # Format the start time for display - try: - if "T" in start_time: - from datetime import datetime - - start_dt = datetime.fromisoformat( - start_time.replace("Z", "+00:00") - ) - formatted_time = start_dt.strftime("%Y-%m-%d %H:%M") - title += f" ({formatted_time})" - except Exception: - pass - - description = doc.content - - if location_name: - description += f" | Venue: {location_name}" - elif meeting_url: - description += " | Online Event" - - url = event_url if event_url else "" - - elif doc_type == "EXTENSION": - # Extract Extension-specific metadata - webpage_title = metadata.get("VisitedWebPageTitle", doc.title) - webpage_url = metadata.get("VisitedWebPageURL", "") - visit_date = metadata.get( - "VisitedWebPageDateWithTimeInISOString", "" - ) - - title = webpage_title - if visit_date: - formatted_date = ( - visit_date.split("T")[0] - if "T" in visit_date - else visit_date - ) - title += f" (visited: {formatted_date})" - - description = doc.content - url = webpage_url - - elif doc_type == "CRAWLED_URL": - title = doc.title - description = metadata.get( - "og:description", - metadata.get( - "ogDescription", - (doc.content), - ), - ) - url = metadata.get("url", "") - - elif doc_type == "ELASTICSEARCH_CONNECTOR": - # Prefer explicit title in metadata/source, otherwise fallback to doc.title - es_title = ( - metadata.get("title") - or metadata.get("es_title") - or doc.title - or f"Elasticsearch: {metadata.get('elasticsearch_index', '')}" - ) - title = es_title - description = metadata.get("description") or ( - doc.content[:100] + "..." - if len(doc.content) > 100 - else doc.content - ) - # If a link or index info is stored, surface it - url = metadata.get("url", "") or metadata.get( - "elasticsearch_index", "" - ) - - else: # FILE and other types - title = doc.title - description = doc.content - - url = metadata.get("url", "") - - # Create source entry - source = { - "id": doc.id, - "title": title, - "description": description, - "url": url, - } - sources_list.append(source) - - # Create source object for this document type - friendly_type_names = { - "LINEAR_CONNECTOR": "Linear Issues (Selected)", - "SLACK_CONNECTOR": "Slack (Selected)", - "NOTION_CONNECTOR": "Notion (Selected)", - "GITHUB_CONNECTOR": "GitHub (Selected)", - "ELASTICSEARCH_CONNECTOR": "Elasticsearch (Selected)", - "YOUTUBE_VIDEO": "YouTube Videos (Selected)", - "DISCORD_CONNECTOR": "Discord (Selected)", - "JIRA_CONNECTOR": "Jira Issues (Selected)", - "EXTENSION": "Browser Extension (Selected)", - "CRAWLED_URL": "Web Pages (Selected)", - "FILE": "Files (Selected)", - "GOOGLE_CALENDAR_CONNECTOR": "Google Calendar (Selected)", - "GOOGLE_GMAIL_CONNECTOR": "Google Gmail (Selected)", - "CONFLUENCE_CONNECTOR": "Confluence (Selected)", - "CLICKUP_CONNECTOR": "ClickUp (Selected)", - "AIRTABLE_CONNECTOR": "Airtable (Selected)", - "LUMA_CONNECTOR": "Luma Events (Selected)", - "NOTE": "Notes (Selected)", - } - - source_object = { - "id": connector_id_counter, - "name": friendly_type_names.get(doc_type, f"{doc_type} (Selected)"), - "type": f"USER_SELECTED_{doc_type}", - "sources": sources_list, - } - source_objects.append(source_object) - connector_id_counter += 1 - - print( - f"Fetched {len(formatted_documents)} user-selected chunks from {len(document_ids)} requested document IDs" - ) - print(f"Created {len(source_objects)} source objects for UI display") - - return source_objects, formatted_documents - - except Exception as e: - print(f"Error fetching documents by IDs: {e!s}") - return [], [] - - -async def fetch_relevant_documents( - research_questions: list[str], - search_space_id: int, - db_session: AsyncSession, - connectors_to_search: list[str], - writer: StreamWriter = None, - state: State = None, - top_k: int = 10, - connector_service: ConnectorService = None, - user_selected_sources: list[dict[str, Any]] | None = None, - start_date: datetime | None = None, - end_date: datetime | None = None, -) -> list[dict[str, Any]]: - """ - Fetch relevant documents for research questions using the provided connectors. - - This function searches across multiple data sources for information related to the - research questions. It provides user-friendly feedback during the search process by - displaying connector names (like "Web Search" instead of "TAVILY_API") and adding - relevant emojis to indicate the type of source being searched. - - Uses combined chunk-level and document-level hybrid search with RRF fusion. - - Args: - research_questions: List of research questions to find documents for - search_space_id: The search space ID - db_session: The database session - connectors_to_search: List of connectors to search - writer: StreamWriter for sending progress updates - state: The current state containing the streaming service - top_k: Number of top results to retrieve per connector per question - connector_service: An initialized connector service to use for searching - user_selected_sources: Optional list of user-selected source objects - start_date: Optional start date for filtering documents by updated_at - end_date: Optional end date for filtering documents by updated_at - - Returns: - List of relevant documents - """ - # Initialize services - # connector_service = ConnectorService(db_session) - - # Only use streaming if both writer and state are provided - streaming_service = state.streaming_service if state is not None else None - - # Handle case when no connectors are selected - if not connectors_to_search or len(connectors_to_search) == 0: - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - "📹 No data sources selected. Research will be generated using general knowledge and any user-selected documents." - ) - } - ) - print("No connectors selected for research. Returning empty document list.") - return [] # Return empty list gracefully - - # Stream initial status update - if streaming_service and writer: - connector_names = [ - get_connector_friendly_name(connector) for connector in connectors_to_search - ] - connector_names_str = ", ".join(connector_names) - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🔎 Starting research on {len(research_questions)} questions using {connector_names_str} data sources" - ) - } - ) - - all_raw_documents = [] # Store all raw documents - all_sources = [] # Store all sources - - for i, user_query in enumerate(research_questions): - # Stream question being researched - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f'🧠 Researching question {i + 1}/{len(research_questions)}: "{user_query[:100]}..."' - ) - } - ) - - # Use original research question as the query - reformulated_query = user_query - - # Process each selected connector - for connector in connectors_to_search: - # Stream connector being searched - if streaming_service and writer: - connector_emoji = get_connector_emoji(connector) - friendly_name = get_connector_friendly_name(connector) - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"{connector_emoji} Searching {friendly_name} for relevant information..." - ) - } - ) - - try: - if connector == "YOUTUBE_VIDEO": - ( - source_object, - youtube_chunks, - ) = await connector_service.search_youtube( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(youtube_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📹 Found {len(youtube_chunks)} YouTube chunks related to your query" - ) - } - ) - - elif connector == "EXTENSION": - ( - source_object, - extension_chunks, - ) = await connector_service.search_extension( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(extension_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🧩 Found {len(extension_chunks)} Browser Extension chunks related to your query" - ) - } - ) - - elif connector == "CRAWLED_URL": - ( - source_object, - crawled_urls_chunks, - ) = await connector_service.search_crawled_urls( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(crawled_urls_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🌐 Found {len(crawled_urls_chunks)} Web Page chunks related to your query" - ) - } - ) - - elif connector == "FILE": - source_object, files_chunks = await connector_service.search_files( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(files_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📄 Found {len(files_chunks)} Files chunks related to your query" - ) - } - ) - - elif connector == "SLACK_CONNECTOR": - source_object, slack_chunks = await connector_service.search_slack( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(slack_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"💬 Found {len(slack_chunks)} Slack messages related to your query" - ) - } - ) - - elif connector == "NOTION_CONNECTOR": - ( - source_object, - notion_chunks, - ) = await connector_service.search_notion( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(notion_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📘 Found {len(notion_chunks)} Notion pages/blocks related to your query" - ) - } - ) - - elif connector == "GITHUB_CONNECTOR": - ( - source_object, - github_chunks, - ) = await connector_service.search_github( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(github_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🐙 Found {len(github_chunks)} GitHub files/issues related to your query" - ) - } - ) - - elif connector == "LINEAR_CONNECTOR": - ( - source_object, - linear_chunks, - ) = await connector_service.search_linear( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(linear_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📊 Found {len(linear_chunks)} Linear issues related to your query" - ) - } - ) - - elif connector == "TAVILY_API": - ( - source_object, - tavily_chunks, - ) = await connector_service.search_tavily( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(tavily_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🔍 Found {len(tavily_chunks)} Web Search results related to your query" - ) - } - ) - - elif connector == "SEARXNG_API": - ( - source_object, - searx_chunks, - ) = await connector_service.search_searxng( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - ) - - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(searx_chunks) - - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🌐 Found {len(searx_chunks)} SearxNG results related to your query" - ) - } - ) - - elif connector == "LINKUP_API": - linkup_mode = "standard" - - ( - source_object, - linkup_chunks, - ) = await connector_service.search_linkup( - user_query=reformulated_query, - search_space_id=search_space_id, - mode=linkup_mode, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(linkup_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🔗 Found {len(linkup_chunks)} Linkup results related to your query" - ) - } - ) - - elif connector == "BAIDU_SEARCH_API": - ( - source_object, - baidu_chunks, - ) = await connector_service.search_baidu( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(baidu_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🇨🇳 Found {len(baidu_chunks)} Baidu Search results related to your query" - ) - } - ) - - elif connector == "DISCORD_CONNECTOR": - ( - source_object, - discord_chunks, - ) = await connector_service.search_discord( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(discord_chunks) - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🗨️ Found {len(discord_chunks)} Discord messages related to your query" - ) - } - ) - - elif connector == "JIRA_CONNECTOR": - source_object, jira_chunks = await connector_service.search_jira( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(jira_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🎫 Found {len(jira_chunks)} Jira issues related to your query" - ) - } - ) - elif connector == "GOOGLE_CALENDAR_CONNECTOR": - ( - source_object, - calendar_chunks, - ) = await connector_service.search_google_calendar( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(calendar_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📅 Found {len(calendar_chunks)} calendar events related to your query" - ) - } - ) - elif connector == "AIRTABLE_CONNECTOR": - ( - source_object, - airtable_chunks, - ) = await connector_service.search_airtable( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(airtable_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🗃️ Found {len(airtable_chunks)} Airtable records related to your query" - ) - } - ) - elif connector == "GOOGLE_GMAIL_CONNECTOR": - ( - source_object, - gmail_chunks, - ) = await connector_service.search_google_gmail( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(gmail_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📧 Found {len(gmail_chunks)} Gmail messages related to your query" - ) - } - ) - elif connector == "CONFLUENCE_CONNECTOR": - ( - source_object, - confluence_chunks, - ) = await connector_service.search_confluence( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(confluence_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📚 Found {len(confluence_chunks)} Confluence pages related to your query" - ) - } - ) - elif connector == "CLICKUP_CONNECTOR": - ( - source_object, - clickup_chunks, - ) = await connector_service.search_clickup( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(clickup_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📋 Found {len(clickup_chunks)} ClickUp tasks related to your query" - ) - } - ) - - elif connector == "LUMA_CONNECTOR": - ( - source_object, - luma_chunks, - ) = await connector_service.search_luma( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(luma_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🎯 Found {len(luma_chunks)} Luma events related to your query" - ) - } - ) - - elif connector == "ELASTICSEARCH_CONNECTOR": - ( - source_object, - elasticsearch_chunks, - ) = await connector_service.search_elasticsearch( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(elasticsearch_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🔎 Found {len(elasticsearch_chunks)} Elasticsearch chunks related to your query" - ) - } - ) - - elif connector == "BOOKSTACK_CONNECTOR": - ( - source_object, - bookstack_chunks, - ) = await connector_service.search_bookstack( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(bookstack_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📚 Found {len(bookstack_chunks)} BookStack pages related to your query" - ) - } - ) - - elif connector == "NOTE": - ( - source_object, - notes_chunks, - ) = await connector_service.search_notes( - user_query=reformulated_query, - search_space_id=search_space_id, - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Add to sources and raw documents - if source_object: - all_sources.append(source_object) - all_raw_documents.extend(notes_chunks) - - # Stream found document count - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📝 Found {len(notes_chunks)} Notes related to your query" - ) - } - ) - - except Exception as e: - logging.error("Error in search_airtable: %s", traceback.format_exc()) - error_message = f"Error searching connector {connector}: {e!s}" - print(error_message) - - # Stream error message - if streaming_service and writer: - friendly_name = get_connector_friendly_name(connector) - writer( - { - "yield_value": streaming_service.format_error( - f"Error searching {friendly_name}: {e!s}" - ) - } - ) - - # Continue with other connectors on error - continue - - # Deduplicate source objects by ID before streaming - deduplicated_sources = [] - seen_source_keys = set() - - # First add user-selected sources (if any) - if user_selected_sources: - for source_obj in user_selected_sources: - source_id = source_obj.get("id") - source_type = source_obj.get("type") - - if source_id and source_type: - source_key = f"{source_type}_{source_id}" - if source_key not in seen_source_keys: - seen_source_keys.add(source_key) - deduplicated_sources.append(source_obj) - else: - deduplicated_sources.append(source_obj) - - # Then add connector sources - for source_obj in all_sources: - # Use combination of source ID and type as a unique identifier - # This ensures we don't accidentally deduplicate sources from different connectors - source_id = source_obj.get("id") - source_type = source_obj.get("type") - - if source_id and source_type: - source_key = f"{source_type}_{source_id}" - current_sources_count = len(source_obj.get("sources", [])) - - if source_key not in seen_source_keys: - seen_source_keys.add(source_key) - deduplicated_sources.append(source_obj) - print( - f"Debug: Added source - ID: {source_id}, Type: {source_type}, Key: {source_key}, Sources count: {current_sources_count}" - ) - else: - # Check if this source object has more sources than the existing one - existing_index = None - for i, existing_source in enumerate(deduplicated_sources): - existing_id = existing_source.get("id") - existing_type = existing_source.get("type") - if existing_id == source_id and existing_type == source_type: - existing_index = i - break - - if existing_index is not None: - existing_sources_count = len( - deduplicated_sources[existing_index].get("sources", []) - ) - if current_sources_count > existing_sources_count: - # Replace the existing source object with the new one that has more sources - deduplicated_sources[existing_index] = source_obj - print( - f"Debug: Replaced source - ID: {source_id}, Type: {source_type}, Key: {source_key}, Sources count: {existing_sources_count} -> {current_sources_count}" - ) - else: - print( - f"Debug: Skipped duplicate source - ID: {source_id}, Type: {source_type}, Key: {source_key}, Sources count: {current_sources_count} <= {existing_sources_count}" - ) - else: - print( - f"Debug: Skipped duplicate source - ID: {source_id}, Type: {source_type}, Key: {source_key} (couldn't find existing)" - ) - else: - # If there's no ID or type, just add it to be safe - deduplicated_sources.append(source_obj) - print( - f"Debug: Added source without ID/type - {source_obj.get('name', 'UNKNOWN')}" - ) - - # Stream info about deduplicated sources - if streaming_service and writer: - user_source_count = len(user_selected_sources) if user_selected_sources else 0 - connector_source_count = len(deduplicated_sources) - user_source_count - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📚 Collected {len(deduplicated_sources)} total sources ({user_source_count} user-selected + {connector_source_count} from connectors)" - ) - } - ) - - # Deduplicate raw documents based on document_id (preferred) or content hash - seen_doc_ids = set() - seen_content_hashes = set() - deduplicated_docs: list[dict[str, Any]] = [] - - for doc in all_raw_documents: - doc_id = (doc.get("document", {}) or {}).get("id") - content = doc.get("content", "") or "" - content_hash = hash(content) - - # Skip if we've seen this document_id or content before - if (doc_id and doc_id in seen_doc_ids) or content_hash in seen_content_hashes: - continue - - if doc_id: - seen_doc_ids.add(doc_id) - seen_content_hashes.add(content_hash) - deduplicated_docs.append(doc) - - # Stream info about deduplicated documents - if streaming_service and writer: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🧹 Found {len(deduplicated_docs)} unique documents after removing duplicates" - ) - } - ) - - # Return deduplicated documents - return deduplicated_docs - - -async def reformulate_user_query( - state: State, config: RunnableConfig, writer: StreamWriter -) -> dict[str, Any]: - """ - Reforms the user query based on the chat history. - """ - - configuration = Configuration.from_runnable_config(config) - user_query = configuration.user_query - chat_history_str = await QueryService.langchain_chat_history_to_str( - state.chat_history - ) - if len(state.chat_history) == 0: - reformulated_query = user_query - else: - reformulated_query = await QueryService.reformulate_query_with_chat_history( - user_query=user_query, - session=state.db_session, - search_space_id=configuration.search_space_id, - chat_history_str=chat_history_str, - ) - - return {"reformulated_query": reformulated_query} - - -async def handle_qna_workflow( - state: State, config: RunnableConfig, writer: StreamWriter -) -> dict[str, Any]: - """ - Handle the QNA research workflow. - - This node fetches relevant documents for the user query and then uses the QNA agent - to generate a comprehensive answer with proper citations. - - Returns: - Dict containing the final answer in the "final_written_report" key for consistency. - """ - streaming_service = state.streaming_service - configuration = Configuration.from_runnable_config(config) - - reformulated_query = state.reformulated_query - user_query = configuration.user_query - - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - "🤔 Starting Q&A research workflow..." - ) - } - ) - - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f'🔍 Researching: "{user_query[:100]}..."' - ) - } - ) - - # Fetch relevant documents for the QNA query - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - "🔍 Searching for relevant information across all connectors..." - ) - } - ) - - # Use the top_k value from configuration - top_k = configuration.top_k - - relevant_documents = [] - user_selected_documents = [] - user_selected_sources = [] - - try: - # First, fetch user-selected documents if any - if configuration.document_ids_to_add_in_context: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"📋 Including {len(configuration.document_ids_to_add_in_context)} user-selected documents..." - ) - } - ) - - ( - user_selected_sources, - user_selected_documents, - ) = await fetch_documents_by_ids( - document_ids=configuration.document_ids_to_add_in_context, - search_space_id=configuration.search_space_id, - db_session=state.db_session, - ) - - if user_selected_documents: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"✅ Successfully added {len(user_selected_documents)} user-selected documents to context" - ) - } - ) - - # Create connector service using state db_session - connector_service = ConnectorService( - state.db_session, search_space_id=configuration.search_space_id - ) - await connector_service.initialize_counter() - - # Use the reformulated query as a single research question - research_questions = [reformulated_query, user_query] - - # Calculate time filter: last 2 years from now (hardcoded for now) - end_date = datetime.now(UTC) - start_date = end_date - timedelta(days=DEFAULT_TIME_FILTER_YEARS * 365) - - relevant_documents = await fetch_relevant_documents( - research_questions=research_questions, - search_space_id=configuration.search_space_id, - db_session=state.db_session, - connectors_to_search=configuration.connectors_to_search, - writer=writer, - state=state, - top_k=top_k, - connector_service=connector_service, - user_selected_sources=user_selected_sources, - start_date=start_date, - end_date=end_date, - ) - except Exception as e: - error_message = f"Error fetching relevant documents for QNA: {e!s}" - print(error_message) - writer({"yield_value": streaming_service.format_error(error_message)}) - # Continue with empty documents - the QNA agent will handle this gracefully - relevant_documents = [] - - # Combine user-selected documents with connector-fetched documents - all_documents = user_selected_documents + relevant_documents - - print(f"Fetched {len(relevant_documents)} relevant documents for QNA") - print(f"Added {len(user_selected_documents)} user-selected documents for QNA") - print(f"Total documents for QNA: {len(all_documents)}") - - # Extract and stream sources from all_documents - if all_documents: - sources_to_stream = extract_sources_from_documents(all_documents) - writer( - {"yield_value": streaming_service.format_sources_delta(sources_to_stream)} - ) - - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"🧠 Generating comprehensive answer using {len(all_documents)} total sources ({len(user_selected_documents)} user-selected + {len(relevant_documents)} connector-found)..." - ) - } - ) - - # Prepare configuration for the QNA agent - qna_config = { - "configurable": { - "user_query": user_query, # Use the reformulated query - "reformulated_query": reformulated_query, - "relevant_documents": all_documents, # Use combined documents - "search_space_id": configuration.search_space_id, - "language": configuration.language, - } - } - - # Create the state for the QNA agent (it has a different state structure) - # Pass streaming_service so the QNA agent can stream tokens directly - qna_state = { - "db_session": state.db_session, - "chat_history": state.chat_history, - "streaming_service": streaming_service, - } - - try: - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - "✍️ Writing comprehensive answer ..." - ) - } - ) - - # Track streaming content for real-time updates - complete_content = "" - captured_reranked_documents = [] - - # Call the QNA agent with both custom and values streaming modes - # - "custom" captures token-by-token streams from answer_question via writer() - # - "values" captures state updates including final_answer and reranked_documents - async for stream_mode, chunk in qna_agent_graph.astream( - qna_state, qna_config, stream_mode=["custom", "values"] - ): - if stream_mode == "custom": - # Handle custom stream events (token chunks from answer_question) - if isinstance(chunk, dict) and "yield_value" in chunk: - # Forward the streamed token to the parent writer - writer(chunk) - elif stream_mode == "values" and isinstance(chunk, dict): - # Handle state value updates - # Capture the final answer from state - if chunk.get("final_answer"): - complete_content = chunk["final_answer"] - - # Capture reranked documents from QNA agent for further question generation - if chunk.get("reranked_documents"): - captured_reranked_documents = chunk["reranked_documents"] - - # Set default if no content was received - if not complete_content: - complete_content = "I couldn't find relevant information in your knowledge base to answer this question." - - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - "🎉 Q&A answer generated successfully!" - ) - } - ) - - # Return the final answer and captured reranked documents for further question generation - return { - "final_written_report": complete_content, - "reranked_documents": captured_reranked_documents, - } - - except Exception as e: - error_message = f"Error generating QNA answer: {e!s}" - print(error_message) - writer({"yield_value": streaming_service.format_error(error_message)}) - - return {"final_written_report": f"Error generating answer: {e!s}"} - - -async def generate_further_questions( - state: State, config: RunnableConfig, writer: StreamWriter -) -> dict[str, Any]: - """ - Generate contextually relevant follow-up questions based on chat history and available documents. - - This node takes the chat history and reranked documents from the QNA agent - and uses an LLM to generate follow-up questions that would naturally extend the conversation - and provide additional value to the user. - - Returns: - Dict containing the further questions in the "further_questions" key for state update. - """ - from app.services.llm_service import get_fast_llm - - # Get configuration and state data - configuration = Configuration.from_runnable_config(config) - chat_history = state.chat_history - search_space_id = configuration.search_space_id - streaming_service = state.streaming_service - - # Get reranked documents from the state (will be populated by sub-agents) - reranked_documents = getattr(state, "reranked_documents", None) or [] - - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - "🤔 Generating follow-up questions..." - ) - } - ) - - # Get search space's fast LLM - llm = await get_fast_llm(state.db_session, search_space_id) - if not llm: - error_message = f"No fast LLM configured for search space {search_space_id}" - print(error_message) - writer({"yield_value": streaming_service.format_error(error_message)}) - - # Stream empty further questions to UI - writer({"yield_value": streaming_service.format_further_questions_delta([])}) - return {"further_questions": []} - - # Format chat history for the prompt - chat_history_xml = "\n" - for message in chat_history: - if hasattr(message, "type"): - if message.type == "human": - chat_history_xml += f"{message.content}\n" - elif message.type == "ai": - chat_history_xml += f"{message.content}\n" - else: - # Handle other message types if needed - chat_history_xml += f"{message!s}\n" - chat_history_xml += "" - - # Format available documents for the prompt - documents_xml = "\n" - for i, doc in enumerate(reranked_documents): - document_info = doc.get("document", {}) - source_id = document_info.get("id", f"doc_{i}") - source_type = document_info.get("document_type", "UNKNOWN") - content = doc.get("content", "") - - documents_xml += "\n" - documents_xml += "\n" - documents_xml += f"{source_id}\n" - documents_xml += f"{source_type}\n" - documents_xml += "\n" - documents_xml += f"\n{content}\n" - documents_xml += "\n" - documents_xml += "" - - # Create the human message content - human_message_content = f""" - {chat_history_xml} - - {documents_xml} - - Based on the chat history and available documents above, generate 3-5 contextually relevant follow-up questions that would naturally extend the conversation and provide additional value to the user. Make sure the questions can be reasonably answered using the available documents or knowledge base. - - Your response MUST be valid JSON in exactly this format: - {{ - "further_questions": [ - {{ - "id": 0, - "question": "further qn 1" - }}, - {{ - "id": 1, - "question": "further qn 2" - }} - ] - }} - - Do not include any other text or explanation. Only return the JSON. - """ - - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - "🧠 Analyzing conversation context to suggest relevant questions..." - ) - } - ) - - # Create messages for the LLM - messages = [ - SystemMessage(content=get_further_questions_system_prompt()), - HumanMessage(content=human_message_content), - ] - - try: - # Call the LLM - response = await llm.ainvoke(messages) - - # Parse the JSON response - content = response.content - - # Find the JSON in the content - json_start = content.find("{") - json_end = content.rfind("}") + 1 - if json_start >= 0 and json_end > json_start: - json_str = content[json_start:json_end] - - # Parse the JSON string - parsed_data = json.loads(json_str) - - # Extract the further_questions array - further_questions = parsed_data.get("further_questions", []) - - writer( - { - "yield_value": streaming_service.format_terminal_info_delta( - f"✅ Generated {len(further_questions)} contextual follow-up questions!" - ) - } - ) - - # Stream the further questions to the UI - writer( - { - "yield_value": streaming_service.format_further_questions_delta( - further_questions - ) - } - ) - - print(f"Successfully generated {len(further_questions)} further questions") - - return {"further_questions": further_questions} - else: - # If JSON structure not found, return empty list - error_message = ( - "Could not find valid JSON in LLM response for further questions" - ) - print(error_message) - writer( - { - "yield_value": streaming_service.format_error( - f"Warning: {error_message}" - ) - } - ) - - # Stream empty further questions to UI - writer( - {"yield_value": streaming_service.format_further_questions_delta([])} - ) - return {"further_questions": []} - - except (json.JSONDecodeError, ValueError) as e: - # Log the error and return empty list - error_message = f"Error parsing further questions response: {e!s}" - print(error_message) - writer( - {"yield_value": streaming_service.format_error(f"Warning: {error_message}")} - ) - - # Stream empty further questions to UI - writer({"yield_value": streaming_service.format_further_questions_delta([])}) - return {"further_questions": []} - - except Exception as e: - # Handle any other errors - error_message = f"Error generating further questions: {e!s}" - print(error_message) - writer( - {"yield_value": streaming_service.format_error(f"Warning: {error_message}")} - ) - - # Stream empty further questions to UI - writer({"yield_value": streaming_service.format_further_questions_delta([])}) - return {"further_questions": []} diff --git a/surfsense_backend/app/agents/researcher/prompts.py b/surfsense_backend/app/agents/researcher/prompts.py deleted file mode 100644 index 794a594f2..000000000 --- a/surfsense_backend/app/agents/researcher/prompts.py +++ /dev/null @@ -1,140 +0,0 @@ -import datetime - - -def _build_language_instruction(language: str | None = None): - """Build language instruction for prompts.""" - if language: - return f"\n\nIMPORTANT: Please respond in {language} language. All your responses, explanations, and analysis should be written in {language}." - return "" - - -def get_further_questions_system_prompt(): - return f""" -Today's date: {datetime.datetime.now().strftime("%Y-%m-%d")} - -You are an expert research assistant specializing in generating contextually relevant follow-up questions. Your task is to analyze the chat history and available documents to suggest further questions that would naturally extend the conversation and provide additional value to the user. - - -- chat_history: Provided in XML format within tags, containing and message pairs that show the chronological conversation flow. This provides context about what has already been discussed. -- available_documents: Provided in XML format within tags, containing individual elements with and sections. Each document contains multiple `...` blocks inside . This helps understand what information is accessible for answering potential follow-up questions. - - - -A JSON object with the following structure: -{{ - "further_questions": [ - {{ - "id": 0, - "question": "further qn 1" - }}, - {{ - "id": 1, - "question": "further qn 2" - }} - ] -}} - - - -1. **Analyze Chat History:** Review the entire conversation flow to understand: - * The main topics and themes discussed - * The user's interests and areas of focus - * Questions that have been asked and answered - * Any gaps or areas that could be explored further - * The depth level of the current discussion - -2. **Evaluate Available Documents:** Consider the documents in context to identify: - * Additional information that hasn't been explored yet - * Related topics that could be of interest - * Specific details or data points that could warrant deeper investigation - * Cross-references or connections between different documents - -3. **Generate Relevant Follow-up Questions:** Create 3-5 further questions that: - * Are directly related to the ongoing conversation but explore new angles - * Can be reasonably answered using the available documents or knowledge base - * Progress the conversation forward rather than repeating previous topics - * Match the user's apparent level of interest and expertise - * Are specific and actionable rather than overly broad - * Consider practical applications, comparisons, deeper analysis, or related concepts - -4. **Ensure Question Quality:** Each question should: - * Be clear and well-formulated - * Provide genuine value to the user - * Be distinct from other suggested questions - * Be answerable within the current context - * Encourage meaningful exploration of the topic - -5. **Prioritize and Order:** Arrange questions by relevance and natural progression: - * Most directly related to the current discussion first - * Questions that build upon previous answers - * Questions that explore practical applications or implications - * Questions that introduce related but new concepts - -6. **Adhere Strictly to Output Format:** Ensure the final output is a valid JSON object with: - * Correct field names (`further_questions`, `id`, `question`) - * Sequential numbering starting from 0 - * Proper data types and JSON formatting - - - -Input: - -What are the best machine learning algorithms for text classification? -For text classification, several algorithms work well depending on your specific needs: - -**Traditional Methods:** -- **Support Vector Machines (SVM)** - Excellent for high-dimensional text data -- **Naive Bayes** - Simple, fast, and works well with small datasets -- **Logistic Regression** - Good baseline with interpretable results - -**Modern Deep Learning:** -- **Neural Networks** - More complex but can capture intricate patterns -- **Transformer models** - State-of-the-art for most text classification tasks - -The choice depends on your dataset size, computational resources, and accuracy requirements. - - - - - -101 -FILE - - -# Machine Learning for Text Classification: A Comprehensive Guide - -## Performance Comparison -Recent studies show that transformer-based models achieve 95%+ accuracy on most text classification benchmarks, while traditional methods like SVM typically achieve 85-90% accuracy. - -## Dataset Considerations -- Small datasets (< 1000 samples): Naive Bayes, SVM -- Large datasets (> 10,000 samples): Neural networks, transformers -- Imbalanced datasets: Require special handling with techniques like SMOTE - - - - -Output: -{{ - "further_questions": [ - {{ - "id": 0, - "question": "What are the key differences in performance between traditional algorithms like SVM and modern deep learning approaches for text classification?" - }}, - {{ - "id": 1, - "question": "How do you handle imbalanced datasets when training text classification models?" - }}, - {{ - "id": 2, - "question": "What preprocessing techniques are most effective for improving text classification accuracy?" - }}, - {{ - "id": 3, - "question": "Are there specific domains or use cases where certain classification algorithms perform better than others?" - }} - ] -}} - - -""" diff --git a/surfsense_backend/app/agents/researcher/qna_agent/__init__.py b/surfsense_backend/app/agents/researcher/qna_agent/__init__.py deleted file mode 100644 index 163b8bf63..000000000 --- a/surfsense_backend/app/agents/researcher/qna_agent/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -"""QnA Agent.""" - -from .graph import graph - -__all__ = ["graph"] diff --git a/surfsense_backend/app/agents/researcher/qna_agent/configuration.py b/surfsense_backend/app/agents/researcher/qna_agent/configuration.py deleted file mode 100644 index e7dd9175e..000000000 --- a/surfsense_backend/app/agents/researcher/qna_agent/configuration.py +++ /dev/null @@ -1,31 +0,0 @@ -"""Define the configurable parameters for the agent.""" - -from __future__ import annotations - -from dataclasses import dataclass, fields -from typing import Any - -from langchain_core.runnables import RunnableConfig - - -@dataclass(kw_only=True) -class Configuration: - """The configuration for the Q&A agent.""" - - # Configuration parameters for the Q&A agent - user_query: str # The user's question to answer - reformulated_query: str # The reformulated query - relevant_documents: list[ - Any - ] # Documents provided directly to the agent for answering - search_space_id: int # Search space identifier - language: str | None = None # Language for responses - - @classmethod - def from_runnable_config( - cls, config: RunnableConfig | None = None - ) -> Configuration: - """Create a Configuration instance from a RunnableConfig object.""" - configurable = (config.get("configurable") or {}) if config else {} - _fields = {f.name for f in fields(cls) if f.init} - return cls(**{k: v for k, v in configurable.items() if k in _fields}) diff --git a/surfsense_backend/app/agents/researcher/qna_agent/default_prompts.py b/surfsense_backend/app/agents/researcher/qna_agent/default_prompts.py deleted file mode 100644 index 72ae636cb..000000000 --- a/surfsense_backend/app/agents/researcher/qna_agent/default_prompts.py +++ /dev/null @@ -1,201 +0,0 @@ -"""Default system prompts for Q&A agent. - -The prompt system is modular with 3 parts: -- Part 1 (Base): Core instructions for answering questions (no citations) -- Part 2 (Citations): Citation-specific instructions and formatting rules -- Part 3 (Custom): User's custom instructions (empty by default) - -Combinations: -- Part 1 only: Answers without citations -- Part 1 + Part 2: Answers with citations -- Part 1 + Part 2 + Part 3: Answers with citations and custom instructions -""" - -# Part 1: Base system prompt for answering without citations -DEFAULT_QNA_BASE_PROMPT = """Today's date: {date} -You are SurfSense, an advanced AI research assistant that provides detailed, well-researched answers to user questions by synthesizing information from multiple personal knowledge sources.{language_instruction} -{chat_history_section} - -- EXTENSION: "Web content saved via SurfSense browser extension" (personal browsing history) -- FILE: "User-uploaded documents (PDFs, Word, etc.)" (personal files) -- SLACK_CONNECTOR: "Slack conversations and shared content" (personal workspace communications) -- NOTION_CONNECTOR: "Notion workspace pages and databases" (personal knowledge management) -- YOUTUBE_VIDEO: "YouTube video transcripts and metadata" (personally saved videos) -- GITHUB_CONNECTOR: "GitHub repository content and issues" (personal repositories and interactions) -- ELASTICSEARCH_CONNECTOR: "Elasticsearch indexed documents and data" (personal Elasticsearch instances and custom data sources) -- LINEAR_CONNECTOR: "Linear project issues and discussions" (personal project management) -- JIRA_CONNECTOR: "Jira project issues, tickets, and comments" (personal project tracking) -- CONFLUENCE_CONNECTOR: "Confluence pages and comments" (personal project documentation) -- CLICKUP_CONNECTOR: "ClickUp tasks and project data" (personal task management) -- GOOGLE_CALENDAR_CONNECTOR: "Google Calendar events, meetings, and schedules" (personal calendar and time management) -- GOOGLE_GMAIL_CONNECTOR: "Google Gmail emails and conversations" (personal emails and communications) -- DISCORD_CONNECTOR: "Discord server conversations and shared content" (personal community communications) -- AIRTABLE_CONNECTOR: "Airtable records, tables, and database content" (personal data management and organization) -- TAVILY_API: "Tavily search API results" (personalized search results) -- LINKUP_API: "Linkup search API results" (personalized search results) -- LUMA_CONNECTOR: "Luma events" -- WEBCRAWLER_CONNECTOR: "Webpages indexed by SurfSense" (personally selected websites) - - - -1. Review the chat history to understand the conversation context and any previous topics discussed. -2. Carefully analyze all provided documents in the sections. -3. Extract relevant information that directly addresses the user's question. -4. Provide a comprehensive, detailed answer using information from the user's personal knowledge sources. -5. Structure your answer logically and conversationally, as if having a detailed discussion with the user. -6. Use your own words to synthesize and connect ideas from the documents. -7. If documents contain conflicting information, acknowledge this and present both perspectives. -8. If the user's question cannot be fully answered with the provided documents, clearly state what information is missing. -9. Provide actionable insights and practical information when relevant to the user's question. -10. Use the chat history to maintain conversation continuity and refer to previous discussions when relevant. -11. Remember that all knowledge sources contain personal information - provide answers that reflect this personal context. -12. Be conversational and engaging while maintaining accuracy. - - - -- Write in a clear, conversational tone suitable for detailed Q&A discussions -- Provide comprehensive answers that thoroughly address the user's question -- Use appropriate paragraphs and structure for readability -- ALWAYS provide personalized answers that reflect the user's own knowledge and context -- Be thorough and detailed in your explanations while remaining focused on the user's specific question -- If asking follow-up questions would be helpful, suggest them at the end of your response - - - -When you see a user query, focus exclusively on providing a detailed, comprehensive answer using information from the provided documents, which contain the user's personal knowledge and data. - -Make sure your response: -1. Considers the chat history for context and conversation continuity -2. Directly and thoroughly answers the user's question with personalized information from their own knowledge sources -3. Is conversational, engaging, and detailed -4. Acknowledges the personal nature of the information being provided -5. Offers follow-up suggestions when appropriate - -""" - -# Part 2: Citation-specific instructions to add citation capabilities -DEFAULT_QNA_CITATION_INSTRUCTIONS = """ - -CRITICAL CITATION REQUIREMENTS: - -1. For EVERY piece of information you include from the documents, add a citation in the format [citation:chunk_id] where chunk_id is the exact value from the `` tag inside ``. -2. Make sure ALL factual statements from the documents have proper citations. -3. If multiple chunks support the same point, include all relevant citations [citation:chunk_id1], [citation:chunk_id2]. -4. You MUST use the exact chunk_id values from the `` attributes. Do not create your own citation numbers. -5. Every citation MUST be in the format [citation:chunk_id] where chunk_id is the exact chunk id value. -6. Never modify or change the chunk_id - always use the original values exactly as provided in the chunk tags. -7. Do not return citations as clickable links. -8. Never format citations as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only. -9. Citations must ONLY appear as [citation:chunk_id] or [citation:chunk_id1], [citation:chunk_id2] format - never with parentheses, hyperlinks, or other formatting. -10. Never make up chunk IDs. Only use chunk_id values that are explicitly provided in the `` tags. -11. If you are unsure about a chunk_id, do not include a citation rather than guessing or making one up. - - -The documents you receive are structured like this: - - - - 42 - GITHUB_CONNECTOR - <![CDATA[Some repo / file / issue title]]> - - - - - - - - - - -IMPORTANT: You MUST cite using the chunk ids (e.g. 123, 124). Do NOT cite document_id. - - - -- Every fact from the documents must have a citation in the format [citation:chunk_id] where chunk_id is the EXACT id value from a `` tag -- Citations should appear at the end of the sentence containing the information they support -- Multiple citations should be separated by commas: [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3] -- No need to return references section. Just citations in answer. -- NEVER create your own citation format - use the exact chunk_id values from the documents in the [citation:chunk_id] format -- NEVER format citations as clickable links or as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only -- NEVER make up chunk IDs if you are unsure about the chunk_id. It is better to omit the citation than to guess - - - -CORRECT citation formats: -- [citation:5] -- [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3] - -INCORRECT citation formats (DO NOT use): -- Using parentheses and markdown links: ([citation:5](https://github.com/MODSetter/SurfSense)) -- Using parentheses around brackets: ([citation:5]) -- Using hyperlinked text: [link to source 5](https://example.com) -- Using footnote style: ... library¹ -- Making up source IDs when source_id is unknown -- Using old IEEE format: [1], [2], [3] -- Using source types instead of IDs: [citation:GITHUB_CONNECTOR] instead of [citation:5] - - - -Based on your GitHub repositories and video content, Python's asyncio library provides tools for writing concurrent code using the async/await syntax [citation:5]. It's particularly useful for I/O-bound and high-level structured network code [citation:5]. - -The key advantage of asyncio is that it can improve performance by allowing other code to run while waiting for I/O operations to complete [citation:12]. This makes it excellent for scenarios like web scraping, API calls, database operations, or any situation where your program spends time waiting for external resources. - -However, from your video learning, it's important to note that asyncio is not suitable for CPU-bound tasks as it runs on a single thread [citation:12]. For computationally intensive work, you'd want to use multiprocessing instead. - - -""" - -# Part 3: User's custom instructions (empty by default, can be set by user from UI) -DEFAULT_QNA_CUSTOM_INSTRUCTIONS = "" - -# Full prompt with all parts combined (for backward compatibility and migration) -DEFAULT_QNA_CITATION_PROMPT = ( - DEFAULT_QNA_BASE_PROMPT - + DEFAULT_QNA_CITATION_INSTRUCTIONS - + DEFAULT_QNA_CUSTOM_INSTRUCTIONS -) - -DEFAULT_QNA_NO_DOCUMENTS_PROMPT = """Today's date: {date} -You are SurfSense, an advanced AI research assistant that provides helpful, detailed answers to user questions in a conversational manner.{language_instruction} -{chat_history_section} - -The user has asked a question but there are no specific documents from their personal knowledge base available to answer it. You should provide a helpful response based on: -1. The conversation history and context -2. Your general knowledge and expertise -3. Understanding of the user's needs and interests based on our conversation - - - -1. Provide a comprehensive, helpful answer to the user's question -2. Draw upon the conversation history to understand context and the user's specific needs -3. Use your general knowledge to provide accurate, detailed information -4. Be conversational and engaging, as if having a detailed discussion with the user -5. Acknowledge when you're drawing from general knowledge rather than their personal sources -6. Provide actionable insights and practical information when relevant -7. Structure your answer logically and clearly -8. If the question would benefit from personalized information from their knowledge base, gently suggest they might want to add relevant content to SurfSense -9. Be honest about limitations while still being maximally helpful -10. Maintain the helpful, knowledgeable tone that users expect from SurfSense - - - -- Write in a clear, conversational tone suitable for detailed Q&A discussions -- Provide comprehensive answers that thoroughly address the user's question -- Use appropriate paragraphs and structure for readability -- No citations are needed since you're using general knowledge -- Be thorough and detailed in your explanations while remaining focused on the user's specific question -- If asking follow-up questions would be helpful, suggest them at the end of your response -- When appropriate, mention that adding relevant content to their SurfSense knowledge base could provide more personalized answers - - - -When answering the user's question without access to their personal documents: -1. Review the chat history to understand conversation context and maintain continuity -2. Provide the most helpful and comprehensive answer possible using general knowledge -3. Be conversational and engaging -4. Draw upon conversation history for context -5. Be clear that you're providing general information -6. Suggest ways the user could get more personalized answers by expanding their knowledge base when relevant - -""" diff --git a/surfsense_backend/app/agents/researcher/qna_agent/graph.py b/surfsense_backend/app/agents/researcher/qna_agent/graph.py deleted file mode 100644 index 0d9c8bac8..000000000 --- a/surfsense_backend/app/agents/researcher/qna_agent/graph.py +++ /dev/null @@ -1,21 +0,0 @@ -from langgraph.graph import StateGraph - -from .configuration import Configuration -from .nodes import answer_question, rerank_documents -from .state import State - -# Define a new graph -workflow = StateGraph(State, config_schema=Configuration) - -# Add the nodes to the graph -workflow.add_node("rerank_documents", rerank_documents) -workflow.add_node("answer_question", answer_question) - -# Connect the nodes -workflow.add_edge("__start__", "rerank_documents") -workflow.add_edge("rerank_documents", "answer_question") -workflow.add_edge("answer_question", "__end__") - -# Compile the workflow into an executable graph -graph = workflow.compile() -graph.name = "SurfSense QnA Agent" # This defines the custom name in LangSmith diff --git a/surfsense_backend/app/agents/researcher/qna_agent/nodes.py b/surfsense_backend/app/agents/researcher/qna_agent/nodes.py deleted file mode 100644 index 28c35a20b..000000000 --- a/surfsense_backend/app/agents/researcher/qna_agent/nodes.py +++ /dev/null @@ -1,297 +0,0 @@ -import datetime -from typing import Any - -from langchain_core.messages import HumanMessage, SystemMessage -from langchain_core.runnables import RunnableConfig -from langgraph.types import StreamWriter -from sqlalchemy import select - -from app.db import SearchSpace -from app.services.reranker_service import RerankerService - -from ..utils import ( - calculate_token_count, - format_documents_section, - langchain_chat_history_to_str, - optimize_documents_for_token_limit, -) -from .configuration import Configuration -from .default_prompts import ( - DEFAULT_QNA_BASE_PROMPT, - DEFAULT_QNA_CITATION_INSTRUCTIONS, - DEFAULT_QNA_NO_DOCUMENTS_PROMPT, -) -from .state import State - - -def _build_language_instruction(language: str | None = None): - """Build language instruction for prompts.""" - if language: - return f"\n\nIMPORTANT: Please respond in {language} language. All your responses, explanations, and analysis should be written in {language}." - return "" - - -def _build_chat_history_section(chat_history: str | None = None): - """Build chat history section for prompts.""" - if chat_history: - return f""" - -{chat_history if chat_history else "NO CHAT HISTORY PROVIDED"} - -""" - return """ - -NO CHAT HISTORY PROVIDED - -""" - - -def _format_system_prompt( - prompt_template: str, - chat_history: str | None = None, - language: str | None = None, -): - """Format a system prompt template with dynamic values.""" - date = datetime.datetime.now().strftime("%Y-%m-%d") - language_instruction = _build_language_instruction(language) - chat_history_section = _build_chat_history_section(chat_history) - - return prompt_template.format( - date=date, - language_instruction=language_instruction, - chat_history_section=chat_history_section, - ) - - -async def rerank_documents(state: State, config: RunnableConfig) -> dict[str, Any]: - """ - Rerank the documents based on relevance to the user's question. - - This node takes the relevant documents provided in the configuration, - reranks them using the reranker service based on the user's query, - and updates the state with the reranked documents. - - Documents are now document-grouped with a `chunks` list. Reranking is done - using the concatenated `content` field, and the full structure (including - `chunks`) is preserved for proper citation formatting. - - If reranking is disabled, returns the original documents without processing. - - Returns: - Dict containing the reranked documents. - """ - # Get configuration and relevant documents - configuration = Configuration.from_runnable_config(config) - documents = configuration.relevant_documents - user_query = configuration.user_query - reformulated_query = configuration.reformulated_query - - # If no documents were provided, return empty list - if not documents or len(documents) == 0: - return {"reranked_documents": []} - - # Get reranker service from app config - reranker_service = RerankerService.get_reranker_instance() - - # If reranking is not enabled, sort by existing score and return - if not reranker_service: - print("Reranking is disabled. Sorting documents by existing score.") - sorted_documents = sorted( - documents, key=lambda x: x.get("score", 0), reverse=True - ) - return {"reranked_documents": sorted_documents} - - # Perform reranking - try: - # Pass documents directly to reranker - it will use: - # - "content" (concatenated chunk text) for scoring - # - "chunk_id" (primary chunk id) for matching - # The full document structure including "chunks" is preserved - reranked_docs = reranker_service.rerank_documents( - user_query + "\n" + reformulated_query, documents - ) - - # Sort by score in descending order - reranked_docs.sort(key=lambda x: x.get("score", 0), reverse=True) - - print(f"Reranked {len(reranked_docs)} documents for Q&A query: {user_query}") - - return {"reranked_documents": reranked_docs} - - except Exception as e: - print(f"Error during reranking: {e!s}") - # Fall back to original documents if reranking fails - return {"reranked_documents": documents} - - -async def answer_question( - state: State, config: RunnableConfig, writer: StreamWriter -) -> dict[str, Any]: - """ - Answer the user's question using the provided documents with real-time streaming. - - This node takes the relevant documents provided in the configuration and uses - an LLM to generate a comprehensive answer to the user's question with - proper citations. The citations follow [citation:chunk_id] format using chunk IDs from the - `` tags in the provided documents. If no documents are provided, it will use chat history to generate - an answer. - - The response is streamed token-by-token for real-time updates to the frontend. - - Returns: - Dict containing the final answer in the "final_answer" key. - """ - from app.services.llm_service import get_fast_llm - - # Get configuration and relevant documents from configuration - configuration = Configuration.from_runnable_config(config) - documents = state.reranked_documents - user_query = configuration.user_query - search_space_id = configuration.search_space_id - language = configuration.language - - # Get streaming service from state - streaming_service = state.streaming_service - - # Fetch search space to get QnA configuration - result = await state.db_session.execute( - select(SearchSpace).where(SearchSpace.id == search_space_id) - ) - search_space = result.scalar_one_or_none() - - if not search_space: - error_message = f"Search space {search_space_id} not found" - print(error_message) - raise RuntimeError(error_message) - - # Get QnA configuration from search space - citations_enabled = search_space.citations_enabled - custom_instructions_text = search_space.qna_custom_instructions or "" - - # Use constants for base prompt and citation instructions - qna_base_prompt = DEFAULT_QNA_BASE_PROMPT - qna_citation_instructions = ( - DEFAULT_QNA_CITATION_INSTRUCTIONS if citations_enabled else "" - ) - qna_custom_instructions = ( - f"\n\n{custom_instructions_text}\n" - if custom_instructions_text - else "" - ) - - # Get search space's fast LLM - llm = await get_fast_llm(state.db_session, search_space_id) - if not llm: - error_message = f"No fast LLM configured for search space {search_space_id}" - print(error_message) - raise RuntimeError(error_message) - - # Determine if we have documents and optimize for token limits - has_documents_initially = documents and len(documents) > 0 - chat_history_str = langchain_chat_history_to_str(state.chat_history) - - if has_documents_initially: - # Compose the full citation prompt: base + citation instructions + custom instructions - full_citation_prompt_template = ( - qna_base_prompt + qna_citation_instructions + qna_custom_instructions - ) - - # Create base message template for token calculation (without documents) - base_human_message_template = f""" - - User's question: - - {user_query} - - - Please provide a detailed, comprehensive answer to the user's question using the information from their personal knowledge sources. Make sure to cite all information appropriately and engage in a conversational manner. - """ - - # Use initial system prompt for token calculation - initial_system_prompt = _format_system_prompt( - full_citation_prompt_template, chat_history_str, language - ) - base_messages = [ - SystemMessage(content=initial_system_prompt), - HumanMessage(content=base_human_message_template), - ] - - # Optimize documents to fit within token limits - optimized_documents, has_optimized_documents = ( - optimize_documents_for_token_limit(documents, base_messages, llm.model) - ) - - # Update state based on optimization result - documents = optimized_documents - has_documents = has_optimized_documents - else: - has_documents = False - - # Choose system prompt based on final document availability - # With documents: use base + citation instructions + custom instructions - # Without documents: use the default no-documents prompt from constants - if has_documents: - full_citation_prompt_template = ( - qna_base_prompt + qna_citation_instructions + qna_custom_instructions - ) - system_prompt = _format_system_prompt( - full_citation_prompt_template, chat_history_str, language - ) - else: - system_prompt = _format_system_prompt( - DEFAULT_QNA_NO_DOCUMENTS_PROMPT + qna_custom_instructions, - chat_history_str, - language, - ) - - # Generate documents section - documents_text = ( - format_documents_section( - documents, "Source material from your personal knowledge base" - ) - if has_documents - else "" - ) - - # Create final human message content - instruction_text = ( - "Please provide a detailed, comprehensive answer to the user's question using the information from their personal knowledge sources. Make sure to cite all information appropriately and engage in a conversational manner." - if has_documents - else "Please provide a helpful answer to the user's question based on our conversation history and your general knowledge. Engage in a conversational manner." - ) - - human_message_content = f""" - {documents_text} - - User's question: - - {user_query} - - - {instruction_text} - """ - - # Create final messages for the LLM - messages_with_chat_history = [ - SystemMessage(content=system_prompt), - HumanMessage(content=human_message_content), - ] - - # Log final token count - total_tokens = calculate_token_count(messages_with_chat_history, llm.model) - print(f"Final token count: {total_tokens}") - - # Stream the LLM response token by token - final_answer = "" - - async for chunk in llm.astream(messages_with_chat_history): - # Extract the content from the chunk - if hasattr(chunk, "content") and chunk.content: - token = chunk.content - final_answer += token - - # Stream the token to the frontend via custom stream - if streaming_service: - writer({"yield_value": streaming_service.format_text_chunk(token)}) - - return {"final_answer": final_answer} diff --git a/surfsense_backend/app/agents/researcher/qna_agent/state.py b/surfsense_backend/app/agents/researcher/qna_agent/state.py deleted file mode 100644 index 4113b9286..000000000 --- a/surfsense_backend/app/agents/researcher/qna_agent/state.py +++ /dev/null @@ -1,32 +0,0 @@ -"""Define the state structures for the agent.""" - -from __future__ import annotations - -from dataclasses import dataclass, field -from typing import Any - -from sqlalchemy.ext.asyncio import AsyncSession - -from app.services.streaming_service import StreamingService - - -@dataclass -class State: - """Defines the dynamic state for the Q&A agent during execution. - - This state tracks the database session, chat history, and the outputs - generated by the agent's nodes during question answering. - See: https://langchain-ai.github.io/langgraph/concepts/low_level/#state - for more information. - """ - - # Runtime context - db_session: AsyncSession - - # Streaming service for real-time token streaming - streaming_service: StreamingService | None = None - - chat_history: list[Any] | None = field(default_factory=list) - # OUTPUT: Populated by agent nodes - reranked_documents: list[Any] | None = None - final_answer: str | None = None diff --git a/surfsense_backend/app/agents/researcher/state.py b/surfsense_backend/app/agents/researcher/state.py deleted file mode 100644 index 90f7039be..000000000 --- a/surfsense_backend/app/agents/researcher/state.py +++ /dev/null @@ -1,38 +0,0 @@ -"""Define the state structures for the agent.""" - -from __future__ import annotations - -from dataclasses import dataclass, field -from typing import Any - -from sqlalchemy.ext.asyncio import AsyncSession - -from app.services.streaming_service import StreamingService - - -@dataclass -class State: - """Defines the dynamic state for the agent during execution. - - This state tracks the database session and the outputs generated by the agent's nodes. - See: https://langchain-ai.github.io/langgraph/concepts/low_level/#state - for more information. - """ - - # Runtime context (not part of actual graph state) - db_session: AsyncSession - - # Streaming service - streaming_service: StreamingService - - chat_history: list[Any] | None = field(default_factory=list) - - reformulated_query: str | None = field(default=None) - further_questions: Any | None = field(default=None) - - # Temporary field to hold reranked documents from sub-agents for further question generation - reranked_documents: list[Any] | None = field(default=None) - - # OUTPUT: Populated by agent nodes - # Using field to explicitly mark as part of state - final_written_report: str | None = field(default=None) diff --git a/surfsense_backend/app/agents/researcher/utils.py b/surfsense_backend/app/agents/researcher/utils.py deleted file mode 100644 index 9cb0dcbde..000000000 --- a/surfsense_backend/app/agents/researcher/utils.py +++ /dev/null @@ -1,292 +0,0 @@ -import json -from typing import Any, NamedTuple - -from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage -from litellm import get_model_info, token_counter - - -class DocumentTokenInfo(NamedTuple): - """Information about a document and its token cost.""" - - index: int - document: dict[str, Any] - formatted_content: str - token_count: int - - -def get_connector_emoji(connector_name: str) -> str: - """Get an appropriate emoji for a connector type.""" - connector_emojis = { - "YOUTUBE_VIDEO": "📹", - "EXTENSION": "🧩", - "FILE": "📄", - "SLACK_CONNECTOR": "💬", - "NOTION_CONNECTOR": "📘", - "GITHUB_CONNECTOR": "🐙", - "LINEAR_CONNECTOR": "📊", - "JIRA_CONNECTOR": "🎫", - "DISCORD_CONNECTOR": "🗨️", - "TAVILY_API": "🔍", - "LINKUP_API": "🔗", - "BAIDU_SEARCH_API": "🇨🇳", - "GOOGLE_CALENDAR_CONNECTOR": "📅", - "AIRTABLE_CONNECTOR": "🗃️", - "LUMA_CONNECTOR": "✨", - "ELASTICSEARCH_CONNECTOR": "⚡", - "WEBCRAWLER_CONNECTOR": "🌐", - "BOOKSTACK_CONNECTOR": "📚", - "NOTE": "📝", - } - return connector_emojis.get(connector_name, "🔎") - - -def get_connector_friendly_name(connector_name: str) -> str: - """Convert technical connector IDs to user-friendly names.""" - connector_friendly_names = { - "YOUTUBE_VIDEO": "YouTube", - "EXTENSION": "Browser Extension", - "FILE": "Files", - "SLACK_CONNECTOR": "Slack", - "NOTION_CONNECTOR": "Notion", - "GITHUB_CONNECTOR": "GitHub", - "LINEAR_CONNECTOR": "Linear", - "JIRA_CONNECTOR": "Jira", - "CONFLUENCE_CONNECTOR": "Confluence", - "GOOGLE_CALENDAR_CONNECTOR": "Google Calendar", - "DISCORD_CONNECTOR": "Discord", - "TAVILY_API": "Tavily Search", - "LINKUP_API": "Linkup Search", - "BAIDU_SEARCH_API": "Baidu Search", - "AIRTABLE_CONNECTOR": "Airtable", - "LUMA_CONNECTOR": "Luma", - "ELASTICSEARCH_CONNECTOR": "Elasticsearch", - "WEBCRAWLER_CONNECTOR": "Web Pages", - "BOOKSTACK_CONNECTOR": "BookStack", - "NOTE": "Notes", - } - return connector_friendly_names.get(connector_name, connector_name) - - -def convert_langchain_messages_to_dict( - messages: list[BaseMessage], -) -> list[dict[str, str]]: - """Convert LangChain messages to format expected by token_counter.""" - role_mapping = {"system": "system", "human": "user", "ai": "assistant"} - - converted_messages = [] - for msg in messages: - role = role_mapping.get(getattr(msg, "type", None), "user") - converted_messages.append({"role": role, "content": str(msg.content)}) - - return converted_messages - - -def format_document_for_citation(document: dict[str, Any]) -> str: - """Format a single document for citation in the new document+chunks XML format. - - IMPORTANT: - - Citations must reference real DB chunk IDs: `[citation:]` - - Document metadata is included under , but citations are NOT document_id-based. - """ - - def _to_cdata(value: Any) -> str: - text = "" if value is None else str(value) - # Safely nest CDATA even if the content includes "]]>" - return "", "]]]]>") + "]]>" - - doc_info = document.get("document", {}) or {} - metadata = doc_info.get("metadata", {}) or {} - - doc_id = doc_info.get("id", "") - title = doc_info.get("title", "") - document_type = doc_info.get("document_type", "CRAWLED_URL") - url = ( - metadata.get("url") - or metadata.get("source") - or metadata.get("page_url") - or metadata.get("VisitedWebPageURL") - or "" - ) - - metadata_json = json.dumps(metadata, ensure_ascii=False) - - chunks = document.get("chunks") or [] - if not chunks: - # Fallback: treat `content` as a single chunk (no chunk_id available for citation) - chunks = [{"chunk_id": "", "content": document.get("content", "")}] - - chunks_xml = "\n".join( - [ - f"{_to_cdata(chunk.get('content', ''))}" - for chunk in chunks - ] - ) - - return f""" - -{doc_id} -{document_type} -{_to_cdata(title)} -{_to_cdata(url)} -{_to_cdata(metadata_json)} - - - -{chunks_xml} - -""" - - -def format_documents_section( - documents: list[dict[str, Any]], section_title: str = "Source material" -) -> str: - """Format multiple documents into a complete documents section.""" - if not documents: - return "" - - formatted_docs = [format_document_for_citation(doc) for doc in documents] - - return f"""{section_title}: - - {chr(10).join(formatted_docs)} - """ - - -def calculate_document_token_costs( - documents: list[dict[str, Any]], model: str -) -> list[DocumentTokenInfo]: - """Pre-calculate token costs for each document.""" - document_token_info = [] - - for i, doc in enumerate(documents): - formatted_doc = format_document_for_citation(doc) - - # Calculate token count for this document - token_count = token_counter( - messages=[{"role": "user", "content": formatted_doc}], model=model - ) - - document_token_info.append( - DocumentTokenInfo( - index=i, - document=doc, - formatted_content=formatted_doc, - token_count=token_count, - ) - ) - - return document_token_info - - -def find_optimal_documents_with_binary_search( - document_tokens: list[DocumentTokenInfo], available_tokens: int -) -> list[DocumentTokenInfo]: - """Use binary search to find the maximum number of documents that fit within token limit.""" - if not document_tokens or available_tokens <= 0: - return [] - - left, right = 0, len(document_tokens) - optimal_docs = [] - - while left <= right: - mid = (left + right) // 2 - current_docs = document_tokens[:mid] - current_token_sum = sum(doc_info.token_count for doc_info in current_docs) - - if current_token_sum <= available_tokens: - optimal_docs = current_docs - left = mid + 1 - else: - right = mid - 1 - - return optimal_docs - - -def get_model_context_window(model_name: str) -> int: - """Get the total context window size for a model (input + output tokens).""" - try: - model_info = get_model_info(model_name) - context_window = model_info.get("max_input_tokens", 4096) # Default fallback - return context_window - except Exception as e: - print( - f"Warning: Could not get model info for {model_name}, using default 4096 tokens. Error: {e}" - ) - return 4096 # Conservative fallback - - -def optimize_documents_for_token_limit( - documents: list[dict[str, Any]], base_messages: list[BaseMessage], model_name: str -) -> tuple[list[dict[str, Any]], bool]: - """ - Optimize documents to fit within token limits using binary search. - - Args: - documents: List of documents with content and metadata - base_messages: Base messages without documents (chat history + system + human message template) - model_name: Model name for token counting (required) - output_token_buffer: Number of tokens to reserve for model output - - Returns: - Tuple of (optimized_documents, has_documents_remaining) - """ - if not documents: - return [], False - - model = model_name - context_window = get_model_context_window(model) - - # Calculate base token cost - base_messages_dict = convert_langchain_messages_to_dict(base_messages) - base_tokens = token_counter(messages=base_messages_dict, model=model) - available_tokens_for_docs = context_window - base_tokens - - print( - f"Token optimization: Context window={context_window}, Base={base_tokens}, Available for docs={available_tokens_for_docs}" - ) - - if available_tokens_for_docs <= 0: - print("No tokens available for documents after base content and output buffer") - return [], False - - # Calculate token costs for all documents - document_token_info = calculate_document_token_costs(documents, model) - - # Find optimal number of documents using binary search - optimal_doc_info = find_optimal_documents_with_binary_search( - document_token_info, available_tokens_for_docs - ) - - # Extract the original document objects - optimized_documents = [doc_info.document for doc_info in optimal_doc_info] - has_documents_remaining = len(optimized_documents) > 0 - - print( - f"Token optimization result: Using {len(optimized_documents)}/{len(documents)} documents" - ) - - return optimized_documents, has_documents_remaining - - -def calculate_token_count(messages: list[BaseMessage], model_name: str) -> int: - """Calculate token count for a list of LangChain messages.""" - model = model_name - messages_dict = convert_langchain_messages_to_dict(messages) - return token_counter(messages=messages_dict, model=model) - - -def langchain_chat_history_to_str(chat_history: list[BaseMessage]) -> str: - """ - Convert a list of chat history messages to a string. - """ - chat_history_str = "" - - for chat_message in chat_history: - if isinstance(chat_message, HumanMessage): - chat_history_str += f"{chat_message.content}\n" - elif isinstance(chat_message, AIMessage): - chat_history_str += f"{chat_message.content}\n" - elif isinstance(chat_message, SystemMessage): - chat_history_str += f"{chat_message.content}\n" - - return chat_history_str diff --git a/surfsense_backend/app/db.py b/surfsense_backend/app/db.py index 9b7811022..8a3a7e30e 100644 --- a/surfsense_backend/app/db.py +++ b/surfsense_backend/app/db.py @@ -77,10 +77,6 @@ class SearchSourceConnectorType(str, Enum): BOOKSTACK_CONNECTOR = "BOOKSTACK_CONNECTOR" -class ChatType(str, Enum): - QNA = "QNA" - - class LiteLLMProvider(str, Enum): """ Enum for LLM providers supported by LiteLLM. @@ -317,21 +313,6 @@ class BaseModel(Base): id = Column(Integer, primary_key=True, index=True) -class Chat(BaseModel, TimestampMixin): - __tablename__ = "chats" - - type = Column(SQLAlchemyEnum(ChatType), nullable=False) - title = Column(String, nullable=False, index=True) - initial_connectors = Column(ARRAY(String), nullable=True) - messages = Column(JSON, nullable=False) - state_version = Column(BigInteger, nullable=False, default=1) - - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False - ) - search_space = relationship("SearchSpace", back_populates="chats") - - class NewChatMessageRole(str, Enum): """Role enum for new chat messages.""" @@ -363,9 +344,6 @@ class NewChatThread(BaseModel, TimestampMixin): search_space_id = Column( Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False ) - user_id = Column( - UUID(as_uuid=True), ForeignKey("user.id", ondelete="CASCADE"), nullable=False - ) # Relationships search_space = relationship("SearchSpace", back_populates="new_chat_threads") @@ -445,23 +423,6 @@ class Chunk(BaseModel, TimestampMixin): document = relationship("Document", back_populates="chunks") -class Podcast(BaseModel, TimestampMixin): - __tablename__ = "podcasts" - - title = Column(String, nullable=False, index=True) - podcast_transcript = Column(JSON, nullable=False, default={}) - file_location = Column(String(500), nullable=False, default="") - chat_id = Column( - Integer, ForeignKey("chats.id", ondelete="CASCADE"), nullable=True - ) # If generated from a chat, this will be the chat id, else null ( can be from a document or a chat ) - chat_state_version = Column(BigInteger, nullable=True) - - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False - ) - search_space = relationship("SearchSpace", back_populates="podcasts") - - class SearchSpace(BaseModel, TimestampMixin): __tablename__ = "searchspaces" @@ -492,18 +453,6 @@ class SearchSpace(BaseModel, TimestampMixin): order_by="Document.id", cascade="all, delete-orphan", ) - podcasts = relationship( - "Podcast", - back_populates="search_space", - order_by="Podcast.id", - cascade="all, delete-orphan", - ) - chats = relationship( - "Chat", - back_populates="search_space", - order_by="Chat.id", - cascade="all, delete-orphan", - ) new_chat_threads = relationship( "NewChatThread", back_populates="search_space", diff --git a/surfsense_backend/app/routes/__init__.py b/surfsense_backend/app/routes/__init__.py index 5430e8b1e..732693eb5 100644 --- a/surfsense_backend/app/routes/__init__.py +++ b/surfsense_backend/app/routes/__init__.py @@ -3,7 +3,6 @@ from fastapi import APIRouter from .airtable_add_connector_route import ( router as airtable_add_connector_router, ) -from .chats_routes import router as chats_router from .documents_routes import router as documents_router from .editor_routes import router as editor_router from .google_calendar_add_connector_route import ( @@ -17,7 +16,6 @@ from .logs_routes import router as logs_router from .luma_add_connector_route import router as luma_add_connector_router from .new_chat_routes import router as new_chat_router from .notes_routes import router as notes_router -from .podcasts_routes import router as podcasts_router from .rbac_routes import router as rbac_router from .search_source_connectors_routes import router as search_source_connectors_router from .search_spaces_routes import router as search_spaces_router @@ -29,9 +27,7 @@ router.include_router(rbac_router) # RBAC routes for roles, members, invites router.include_router(editor_router) router.include_router(documents_router) router.include_router(notes_router) -router.include_router(podcasts_router) -router.include_router(chats_router) -router.include_router(new_chat_router) # New chat with assistant-ui persistence +router.include_router(new_chat_router) # Chat with assistant-ui persistence router.include_router(search_source_connectors_router) router.include_router(google_calendar_add_connector_router) router.include_router(google_gmail_add_connector_router) diff --git a/surfsense_backend/app/routes/chats_routes.py b/surfsense_backend/app/routes/chats_routes.py deleted file mode 100644 index 2a65b637c..000000000 --- a/surfsense_backend/app/routes/chats_routes.py +++ /dev/null @@ -1,617 +0,0 @@ -from fastapi import APIRouter, Depends, HTTPException -from fastapi.responses import StreamingResponse -from langchain_core.messages import AIMessage, HumanMessage -from sqlalchemy.exc import IntegrityError, OperationalError -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.future import select -from sqlalchemy.orm import selectinload - -from app.db import ( - Chat, - Permission, - SearchSpace, - SearchSpaceMembership, - User, - get_async_session, -) -from app.schemas import ( - AISDKChatRequest, - ChatCreate, - ChatRead, - ChatReadWithoutMessages, - ChatUpdate, - NewChatRequest, -) -from app.services.new_streaming_service import VercelStreamingService -from app.tasks.chat.stream_connector_search_results import ( - stream_connector_search_results, -) -from app.tasks.chat.stream_new_chat import stream_new_chat -from app.users import current_active_user -from app.utils.rbac import check_permission -from app.utils.validators import ( - validate_connectors, - validate_document_ids, - validate_messages, - validate_research_mode, - validate_search_space_id, - validate_top_k, -) - -router = APIRouter() - - -@router.post("/chat") -async def handle_chat_data( - request: AISDKChatRequest, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - # Validate and sanitize all input data - messages = validate_messages(request.messages) - - if messages[-1]["role"] != "user": - raise HTTPException( - status_code=400, detail="Last message must be a user message" - ) - - user_query = messages[-1]["content"] - - # Extract and validate data from request - request_data = request.data or {} - search_space_id = validate_search_space_id(request_data.get("search_space_id")) - research_mode = validate_research_mode(request_data.get("research_mode")) - selected_connectors = validate_connectors(request_data.get("selected_connectors")) - document_ids_to_add_in_context = validate_document_ids( - request_data.get("document_ids_to_add_in_context") - ) - top_k = validate_top_k(request_data.get("top_k")) - # print("RESQUEST DATA:", request_data) - # print("SELECTED CONNECTORS:", selected_connectors) - - # Check if the user has chat access to the search space - try: - await check_permission( - session, - user, - search_space_id, - Permission.CHATS_CREATE.value, - "You don't have permission to use chat in this search space", - ) - - # Get search space with LLM configs (preferences are now stored at search space level) - search_space_result = await session.execute( - select(SearchSpace) - .options(selectinload(SearchSpace.llm_configs)) - .filter(SearchSpace.id == search_space_id) - ) - search_space = search_space_result.scalars().first() - - language = None - llm_configs = [] # Initialize to empty list - - if search_space and search_space.llm_configs: - llm_configs = search_space.llm_configs - - # Get language from configured LLM preferences - # LLM preferences are now stored on the SearchSpace model - from app.config import config as app_config - - for llm_id in [ - search_space.fast_llm_id, - search_space.long_context_llm_id, - search_space.strategic_llm_id, - ]: - if llm_id is not None: - # Check if it's a global config (negative ID) - if llm_id < 0: - # Look in global configs - for global_cfg in app_config.GLOBAL_LLM_CONFIGS: - if global_cfg.get("id") == llm_id: - language = global_cfg.get("language") - if language: - break - else: - # Look in custom configs - for llm_config in llm_configs: - if llm_config.id == llm_id and getattr( - llm_config, "language", None - ): - language = llm_config.language - break - if language: - break - - if not language and llm_configs: - first_llm_config = llm_configs[0] - language = getattr(first_llm_config, "language", None) - - except HTTPException: - raise HTTPException( - status_code=403, detail="You don't have access to this search space" - ) from None - - langchain_chat_history = [] - for message in messages[:-1]: - if message["role"] == "user": - langchain_chat_history.append(HumanMessage(content=message["content"])) - elif message["role"] == "assistant": - langchain_chat_history.append(AIMessage(content=message["content"])) - - response = StreamingResponse( - stream_connector_search_results( - user_query, - user.id, - search_space_id, - session, - research_mode, - selected_connectors, - langchain_chat_history, - document_ids_to_add_in_context, - language, - top_k, - ) - ) - - response.headers["x-vercel-ai-data-stream"] = "v1" - return response - - -@router.post("/new_chat") -async def handle_new_chat( - request: NewChatRequest, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Handle new chat requests using the SurfSense deep agent. - - This endpoint uses the new deep agent with the Vercel AI SDK - Data Stream Protocol (SSE format). - - Args: - request: NewChatRequest containing chat_id, user_query, and search_space_id - session: Database session - user: Current authenticated user - - Returns: - StreamingResponse with SSE formatted data - """ - # Validate the user query - if not request.user_query or not request.user_query.strip(): - raise HTTPException(status_code=400, detail="User query cannot be empty") - - # Check if the user has chat access to the search space - try: - await check_permission( - session, - user, - request.search_space_id, - Permission.CHATS_CREATE.value, - "You don't have permission to use chat in this search space", - ) - except HTTPException: - raise HTTPException( - status_code=403, detail="You don't have access to this search space" - ) from None - - # Get LLM config ID from search space preferences (optional enhancement) - # For now, we use the default global config (-1) - llm_config_id = -1 - - # Optionally load LLM preferences from search space - try: - search_space_result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == request.search_space_id) - ) - search_space = search_space_result.scalars().first() - - if search_space: - # Use strategic_llm_id if available, otherwise fall back to fast_llm_id - if search_space.strategic_llm_id is not None: - llm_config_id = search_space.strategic_llm_id - elif search_space.fast_llm_id is not None: - llm_config_id = search_space.fast_llm_id - except Exception: - # Fall back to default config on any error - pass - - # Create the streaming response - # chat_id is used as LangGraph's thread_id for automatic chat history management - response = StreamingResponse( - stream_new_chat( - user_query=request.user_query.strip(), - user_id=user.id, - search_space_id=request.search_space_id, - chat_id=request.chat_id, - session=session, - llm_config_id=llm_config_id, - messages=request.messages, # Pass message history from frontend - ), - media_type="text/event-stream", - ) - - # Set the required headers for Vercel AI SDK - headers = VercelStreamingService.get_response_headers() - for key, value in headers.items(): - response.headers[key] = value - - return response - - -@router.post("/chats", response_model=ChatRead) -async def create_chat( - chat: ChatCreate, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Create a new chat. - Requires CHATS_CREATE permission. - """ - try: - await check_permission( - session, - user, - chat.search_space_id, - Permission.CHATS_CREATE.value, - "You don't have permission to create chats in this search space", - ) - db_chat = Chat(**chat.model_dump()) - session.add(db_chat) - await session.commit() - await session.refresh(db_chat) - return db_chat - except HTTPException: - raise - except IntegrityError: - await session.rollback() - raise HTTPException( - status_code=400, - detail="Database constraint violation. Please check your input data.", - ) from None - except OperationalError: - await session.rollback() - raise HTTPException( - status_code=503, detail="Database operation failed. Please try again later." - ) from None - except Exception: - await session.rollback() - raise HTTPException( - status_code=500, - detail="An unexpected error occurred while creating the chat.", - ) from None - - -@router.get("/chats", response_model=list[ChatReadWithoutMessages]) -async def read_chats( - skip: int = 0, - limit: int = 100, - search_space_id: int | None = None, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - List chats the user has access to. - Requires CHATS_READ permission for the search space(s). - """ - # Validate pagination parameters - if skip < 0: - raise HTTPException( - status_code=400, detail="skip must be a non-negative integer" - ) - - if limit <= 0 or limit > 1000: # Reasonable upper limit - raise HTTPException(status_code=400, detail="limit must be between 1 and 1000") - - # Validate search_space_id if provided - if search_space_id is not None and search_space_id <= 0: - raise HTTPException( - status_code=400, detail="search_space_id must be a positive integer" - ) - try: - if search_space_id is not None: - # Check permission for specific search space - await check_permission( - session, - user, - search_space_id, - Permission.CHATS_READ.value, - "You don't have permission to read chats in this search space", - ) - # Select specific fields excluding messages - query = ( - select( - Chat.id, - Chat.type, - Chat.title, - Chat.initial_connectors, - Chat.search_space_id, - Chat.created_at, - Chat.state_version, - ) - .filter(Chat.search_space_id == search_space_id) - .order_by(Chat.created_at.desc()) - ) - else: - # Get chats from all search spaces user has membership in - query = ( - select( - Chat.id, - Chat.type, - Chat.title, - Chat.initial_connectors, - Chat.search_space_id, - Chat.created_at, - Chat.state_version, - ) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) - .order_by(Chat.created_at.desc()) - ) - - result = await session.execute(query.offset(skip).limit(limit)) - return result.all() - except HTTPException: - raise - except OperationalError: - raise HTTPException( - status_code=503, detail="Database operation failed. Please try again later." - ) from None - except Exception: - raise HTTPException( - status_code=500, detail="An unexpected error occurred while fetching chats." - ) from None - - -@router.get("/chats/search", response_model=list[ChatReadWithoutMessages]) -async def search_chats( - title: str, - skip: int = 0, - limit: int = 100, - search_space_id: int | None = None, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Search chats by title substring. - Requires CHATS_READ permission for the search space(s). - - Args: - title: Case-insensitive substring to match against chat titles. Required. - skip: Number of items to skip from the beginning. Default: 0. - limit: Maximum number of items to return. Default: 100. - search_space_id: Filter results to a specific search space. Default: None. - session: Database session (injected). - user: Current authenticated user (injected). - - Returns: - List of chats matching the search query. - - Notes: - - Title matching uses ILIKE (case-insensitive). - - Results are ordered by creation date (most recent first). - """ - # Validate pagination parameters - if skip < 0: - raise HTTPException( - status_code=400, detail="skip must be a non-negative integer" - ) - - if limit <= 0 or limit > 1000: - raise HTTPException(status_code=400, detail="limit must be between 1 and 1000") - - # Validate search_space_id if provided - if search_space_id is not None and search_space_id <= 0: - raise HTTPException( - status_code=400, detail="search_space_id must be a positive integer" - ) - - try: - if search_space_id is not None: - # Check permission for specific search space - await check_permission( - session, - user, - search_space_id, - Permission.CHATS_READ.value, - "You don't have permission to read chats in this search space", - ) - # Select specific fields excluding messages - query = ( - select( - Chat.id, - Chat.type, - Chat.title, - Chat.initial_connectors, - Chat.search_space_id, - Chat.created_at, - Chat.state_version, - ) - .filter(Chat.search_space_id == search_space_id) - .order_by(Chat.created_at.desc()) - ) - else: - # Get chats from all search spaces user has membership in - query = ( - select( - Chat.id, - Chat.type, - Chat.title, - Chat.initial_connectors, - Chat.search_space_id, - Chat.created_at, - Chat.state_version, - ) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) - .order_by(Chat.created_at.desc()) - ) - - # Apply title search filter (case-insensitive) - query = query.filter(Chat.title.ilike(f"%{title}%")) - - result = await session.execute(query.offset(skip).limit(limit)) - return result.all() - except HTTPException: - raise - except OperationalError: - raise HTTPException( - status_code=503, detail="Database operation failed. Please try again later." - ) from None - except Exception: - raise HTTPException( - status_code=500, - detail="An unexpected error occurred while searching chats.", - ) from None - - -@router.get("/chats/{chat_id}", response_model=ChatRead) -async def read_chat( - chat_id: int, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Get a specific chat by ID. - Requires CHATS_READ permission for the search space. - """ - try: - result = await session.execute(select(Chat).filter(Chat.id == chat_id)) - chat = result.scalars().first() - - if not chat: - raise HTTPException( - status_code=404, - detail="Chat not found", - ) - - # Check permission for the search space - await check_permission( - session, - user, - chat.search_space_id, - Permission.CHATS_READ.value, - "You don't have permission to read chats in this search space", - ) - - return chat - except HTTPException: - raise - except OperationalError: - raise HTTPException( - status_code=503, detail="Database operation failed. Please try again later." - ) from None - except Exception: - raise HTTPException( - status_code=500, - detail="An unexpected error occurred while fetching the chat.", - ) from None - - -@router.put("/chats/{chat_id}", response_model=ChatRead) -async def update_chat( - chat_id: int, - chat_update: ChatUpdate, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Update a chat. - Requires CHATS_UPDATE permission for the search space. - """ - try: - result = await session.execute(select(Chat).filter(Chat.id == chat_id)) - db_chat = result.scalars().first() - - if not db_chat: - raise HTTPException(status_code=404, detail="Chat not found") - - # Check permission for the search space - await check_permission( - session, - user, - db_chat.search_space_id, - Permission.CHATS_UPDATE.value, - "You don't have permission to update chats in this search space", - ) - - update_data = chat_update.model_dump(exclude_unset=True) - for key, value in update_data.items(): - if key == "messages": - db_chat.state_version = len(update_data["messages"]) - setattr(db_chat, key, value) - - await session.commit() - await session.refresh(db_chat) - return db_chat - except HTTPException: - raise - except IntegrityError: - await session.rollback() - raise HTTPException( - status_code=400, - detail="Database constraint violation. Please check your input data.", - ) from None - except OperationalError: - await session.rollback() - raise HTTPException( - status_code=503, detail="Database operation failed. Please try again later." - ) from None - except Exception: - await session.rollback() - raise HTTPException( - status_code=500, - detail="An unexpected error occurred while updating the chat.", - ) from None - - -@router.delete("/chats/{chat_id}", response_model=dict) -async def delete_chat( - chat_id: int, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Delete a chat. - Requires CHATS_DELETE permission for the search space. - """ - try: - result = await session.execute(select(Chat).filter(Chat.id == chat_id)) - db_chat = result.scalars().first() - - if not db_chat: - raise HTTPException(status_code=404, detail="Chat not found") - - # Check permission for the search space - await check_permission( - session, - user, - db_chat.search_space_id, - Permission.CHATS_DELETE.value, - "You don't have permission to delete chats in this search space", - ) - - await session.delete(db_chat) - await session.commit() - return {"message": "Chat deleted successfully"} - except HTTPException: - raise - except IntegrityError: - await session.rollback() - raise HTTPException( - status_code=400, detail="Cannot delete chat due to existing dependencies." - ) from None - except OperationalError: - await session.rollback() - raise HTTPException( - status_code=503, detail="Database operation failed. Please try again later." - ) from None - except Exception: - await session.rollback() - raise HTTPException( - status_code=500, - detail="An unexpected error occurred while deleting the chat.", - ) from None diff --git a/surfsense_backend/app/routes/new_chat_routes.py b/surfsense_backend/app/routes/new_chat_routes.py index 209c25a15..8d2734808 100644 --- a/surfsense_backend/app/routes/new_chat_routes.py +++ b/surfsense_backend/app/routes/new_chat_routes.py @@ -13,6 +13,7 @@ These endpoints support the ThreadHistoryAdapter pattern from assistant-ui: from datetime import UTC, datetime from fastapi import APIRouter, Depends, HTTPException, Request +from fastapi.responses import StreamingResponse from sqlalchemy.exc import IntegrityError, OperationalError from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.future import select @@ -23,12 +24,14 @@ from app.db import ( NewChatMessageRole, NewChatThread, Permission, + SearchSpace, User, get_async_session, ) from app.schemas.new_chat import ( NewChatMessageAppend, NewChatMessageRead, + NewChatRequest, NewChatThreadCreate, NewChatThreadRead, NewChatThreadUpdate, @@ -37,6 +40,7 @@ from app.schemas.new_chat import ( ThreadListItem, ThreadListResponse, ) +from app.tasks.chat.stream_new_chat import stream_new_chat from app.users import current_active_user from app.utils.rbac import check_permission @@ -74,13 +78,10 @@ async def list_threads( "You don't have permission to read chats in this search space", ) - # Get all threads for this user in this search space + # Get all threads in this search space query = ( select(NewChatThread) - .filter( - NewChatThread.search_space_id == search_space_id, - NewChatThread.user_id == user.id, - ) + .filter(NewChatThread.search_space_id == search_space_id) .order_by(NewChatThread.updated_at.desc()) ) @@ -153,7 +154,6 @@ async def search_threads( select(NewChatThread) .filter( NewChatThread.search_space_id == search_space_id, - NewChatThread.user_id == user.id, NewChatThread.title.ilike(f"%{title}%"), ) .order_by(NewChatThread.updated_at.desc()) @@ -211,7 +211,6 @@ async def create_thread( title=thread.title, archived=thread.archived, search_space_id=thread.search_space_id, - user_id=user.id, updated_at=now, ) session.add(db_thread) @@ -273,12 +272,6 @@ async def get_thread_messages( "You don't have permission to read chats in this search space", ) - # Ensure user owns this thread - if thread.user_id != user.id: - raise HTTPException( - status_code=403, detail="You don't have access to this thread" - ) - # Return messages in the format expected by assistant-ui messages = [ NewChatMessageRead( @@ -336,11 +329,6 @@ async def get_thread_full( "You don't have permission to read chats in this search space", ) - if thread.user_id != user.id: - raise HTTPException( - status_code=403, detail="You don't have access to this thread" - ) - return thread except HTTPException: @@ -386,11 +374,6 @@ async def update_thread( "You don't have permission to update chats in this search space", ) - if db_thread.user_id != user.id: - raise HTTPException( - status_code=403, detail="You don't have access to this thread" - ) - # Update fields update_data = thread_update.model_dump(exclude_unset=True) for key, value in update_data.items(): @@ -451,11 +434,6 @@ async def delete_thread( "You don't have permission to delete chats in this search space", ) - if db_thread.user_id != user.id: - raise HTTPException( - status_code=403, detail="You don't have access to this thread" - ) - await session.delete(db_thread) await session.commit() return {"message": "Thread deleted successfully"} @@ -530,11 +508,6 @@ async def append_message( "You don't have permission to update chats in this search space", ) - if thread.user_id != user.id: - raise HTTPException( - status_code=403, detail="You don't have access to this thread" - ) - # Convert string role to enum role_str = ( message.role.lower() if isinstance(message.role, str) else message.role @@ -639,11 +612,6 @@ async def list_messages( "You don't have permission to read chats in this search space", ) - if thread.user_id != user.id: - raise HTTPException( - status_code=403, detail="You don't have access to this thread" - ) - # Get messages query = ( select(NewChatMessage) @@ -667,3 +635,79 @@ async def list_messages( status_code=500, detail=f"An unexpected error occurred while fetching messages: {e!s}", ) from None + + +# ============================================================================= +# Chat Streaming Endpoint +# ============================================================================= + + +@router.post("/new_chat") +async def handle_new_chat( + request: NewChatRequest, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Stream chat responses from the deep agent. + + This endpoint handles the new chat functionality with streaming responses + using Server-Sent Events (SSE) format compatible with Vercel AI SDK. + + Requires CHATS_CREATE permission. + """ + try: + # Verify thread exists and user has permission + result = await session.execute( + select(NewChatThread).filter(NewChatThread.id == request.chat_id) + ) + thread = result.scalars().first() + + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") + + await check_permission( + session, + user, + thread.search_space_id, + Permission.CHATS_CREATE.value, + "You don't have permission to chat in this search space", + ) + + # Get search space to check LLM config preferences + search_space_result = await session.execute( + select(SearchSpace).filter(SearchSpace.id == request.search_space_id) + ) + search_space = search_space_result.scalars().first() + + # Determine LLM config ID (use search space preference or default) + llm_config_id = -1 # Default to first global config + if search_space and search_space.fast_llm_id: + llm_config_id = search_space.fast_llm_id + + # Return streaming response + return StreamingResponse( + stream_new_chat( + user_query=request.user_query, + user_id=str(user.id), + search_space_id=request.search_space_id, + chat_id=request.chat_id, + session=session, + llm_config_id=llm_config_id, + messages=request.messages, + ), + media_type="text/event-stream", + headers={ + "Cache-Control": "no-cache", + "Connection": "keep-alive", + "X-Accel-Buffering": "no", + }, + ) + + except HTTPException: + raise + except Exception as e: + raise HTTPException( + status_code=500, + detail=f"An unexpected error occurred: {e!s}", + ) from None diff --git a/surfsense_backend/app/routes/podcasts_routes.py b/surfsense_backend/app/routes/podcasts_routes.py deleted file mode 100644 index 904de20a3..000000000 --- a/surfsense_backend/app/routes/podcasts_routes.py +++ /dev/null @@ -1,509 +0,0 @@ -import os -from pathlib import Path - -from fastapi import APIRouter, Depends, HTTPException -from fastapi.responses import StreamingResponse -from sqlalchemy.exc import IntegrityError, SQLAlchemyError -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.future import select - -from app.db import ( - Chat, - Permission, - Podcast, - SearchSpace, - SearchSpaceMembership, - User, - get_async_session, -) -from app.schemas import ( - PodcastCreate, - PodcastGenerateRequest, - PodcastRead, - PodcastUpdate, -) -from app.tasks.podcast_tasks import generate_chat_podcast -from app.users import current_active_user -from app.utils.rbac import check_permission - -router = APIRouter() - - -@router.post("/podcasts", response_model=PodcastRead) -async def create_podcast( - podcast: PodcastCreate, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Create a new podcast. - Requires PODCASTS_CREATE permission. - """ - try: - await check_permission( - session, - user, - podcast.search_space_id, - Permission.PODCASTS_CREATE.value, - "You don't have permission to create podcasts in this search space", - ) - db_podcast = Podcast(**podcast.model_dump()) - session.add(db_podcast) - await session.commit() - await session.refresh(db_podcast) - return db_podcast - except HTTPException as he: - raise he - except IntegrityError: - await session.rollback() - raise HTTPException( - status_code=400, - detail="Podcast creation failed due to constraint violation", - ) from None - except SQLAlchemyError: - await session.rollback() - raise HTTPException( - status_code=500, detail="Database error occurred while creating podcast" - ) from None - except Exception: - await session.rollback() - raise HTTPException( - status_code=500, detail="An unexpected error occurred" - ) from None - - -@router.get("/podcasts", response_model=list[PodcastRead]) -async def read_podcasts( - skip: int = 0, - limit: int = 100, - search_space_id: int | None = None, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - List podcasts the user has access to. - Requires PODCASTS_READ permission for the search space(s). - """ - if skip < 0 or limit < 1: - raise HTTPException(status_code=400, detail="Invalid pagination parameters") - try: - if search_space_id is not None: - # Check permission for specific search space - await check_permission( - session, - user, - search_space_id, - Permission.PODCASTS_READ.value, - "You don't have permission to read podcasts in this search space", - ) - result = await session.execute( - select(Podcast) - .filter(Podcast.search_space_id == search_space_id) - .offset(skip) - .limit(limit) - ) - else: - # Get podcasts from all search spaces user has membership in - result = await session.execute( - select(Podcast) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) - .offset(skip) - .limit(limit) - ) - return result.scalars().all() - except HTTPException: - raise - except SQLAlchemyError: - raise HTTPException( - status_code=500, detail="Database error occurred while fetching podcasts" - ) from None - - -@router.get("/podcasts/{podcast_id}", response_model=PodcastRead) -async def read_podcast( - podcast_id: int, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Get a specific podcast by ID. - Requires PODCASTS_READ permission for the search space. - """ - try: - result = await session.execute(select(Podcast).filter(Podcast.id == podcast_id)) - podcast = result.scalars().first() - - if not podcast: - raise HTTPException( - status_code=404, - detail="Podcast not found", - ) - - # Check permission for the search space - await check_permission( - session, - user, - podcast.search_space_id, - Permission.PODCASTS_READ.value, - "You don't have permission to read podcasts in this search space", - ) - - return podcast - except HTTPException as he: - raise he - except SQLAlchemyError: - raise HTTPException( - status_code=500, detail="Database error occurred while fetching podcast" - ) from None - - -@router.put("/podcasts/{podcast_id}", response_model=PodcastRead) -async def update_podcast( - podcast_id: int, - podcast_update: PodcastUpdate, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Update a podcast. - Requires PODCASTS_UPDATE permission for the search space. - """ - try: - result = await session.execute(select(Podcast).filter(Podcast.id == podcast_id)) - db_podcast = result.scalars().first() - - if not db_podcast: - raise HTTPException(status_code=404, detail="Podcast not found") - - # Check permission for the search space - await check_permission( - session, - user, - db_podcast.search_space_id, - Permission.PODCASTS_UPDATE.value, - "You don't have permission to update podcasts in this search space", - ) - - update_data = podcast_update.model_dump(exclude_unset=True) - for key, value in update_data.items(): - setattr(db_podcast, key, value) - await session.commit() - await session.refresh(db_podcast) - return db_podcast - except HTTPException as he: - raise he - except IntegrityError: - await session.rollback() - raise HTTPException( - status_code=400, detail="Update failed due to constraint violation" - ) from None - except SQLAlchemyError: - await session.rollback() - raise HTTPException( - status_code=500, detail="Database error occurred while updating podcast" - ) from None - - -@router.delete("/podcasts/{podcast_id}", response_model=dict) -async def delete_podcast( - podcast_id: int, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Delete a podcast. - Requires PODCASTS_DELETE permission for the search space. - """ - try: - result = await session.execute(select(Podcast).filter(Podcast.id == podcast_id)) - db_podcast = result.scalars().first() - - if not db_podcast: - raise HTTPException(status_code=404, detail="Podcast not found") - - # Check permission for the search space - await check_permission( - session, - user, - db_podcast.search_space_id, - Permission.PODCASTS_DELETE.value, - "You don't have permission to delete podcasts in this search space", - ) - - await session.delete(db_podcast) - await session.commit() - return {"message": "Podcast deleted successfully"} - except HTTPException as he: - raise he - except SQLAlchemyError: - await session.rollback() - raise HTTPException( - status_code=500, detail="Database error occurred while deleting podcast" - ) from None - - -async def generate_chat_podcast_with_new_session( - chat_id: int, - search_space_id: int, - user_id: int, - podcast_title: str | None = None, - user_prompt: str | None = None, -): - """Create a new session and process chat podcast generation.""" - from app.db import async_session_maker - - async with async_session_maker() as session: - try: - await generate_chat_podcast( - session, chat_id, search_space_id, user_id, podcast_title, user_prompt - ) - except Exception as e: - import logging - - logging.error(f"Error generating podcast from chat: {e!s}") - - -@router.post("/podcasts/generate") -async def generate_podcast( - request: PodcastGenerateRequest, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Generate a podcast from a chat or document. - Requires PODCASTS_CREATE permission. - """ - try: - # Check if the user has permission to create podcasts - await check_permission( - session, - user, - request.search_space_id, - Permission.PODCASTS_CREATE.value, - "You don't have permission to create podcasts in this search space", - ) - - if request.type == "CHAT": - # Verify that all chat IDs belong to this user and search space - query = ( - select(Chat) - .filter( - Chat.id.in_(request.ids), - Chat.search_space_id == request.search_space_id, - ) - .join(SearchSpace) - .filter(SearchSpace.user_id == user.id) - ) - - result = await session.execute(query) - valid_chats = result.scalars().all() - valid_chat_ids = [chat.id for chat in valid_chats] - - # If any requested ID is not in valid IDs, raise error immediately - if len(valid_chat_ids) != len(request.ids): - raise HTTPException( - status_code=403, - detail="One or more chat IDs do not belong to this user or search space", - ) - - from app.tasks.celery_tasks.podcast_tasks import ( - generate_chat_podcast_task, - ) - - # Add Celery tasks for each chat ID - for chat_id in valid_chat_ids: - generate_chat_podcast_task.delay( - chat_id, - request.search_space_id, - user.id, - request.podcast_title, - request.user_prompt, - ) - - return { - "message": "Podcast generation started", - } - except HTTPException as he: - raise he - except IntegrityError: - await session.rollback() - raise HTTPException( - status_code=400, - detail="Podcast generation failed due to constraint violation", - ) from None - except SQLAlchemyError: - await session.rollback() - raise HTTPException( - status_code=500, detail="Database error occurred while generating podcast" - ) from None - except Exception as e: - await session.rollback() - raise HTTPException( - status_code=500, detail=f"An unexpected error occurred: {e!s}" - ) from e - - -@router.get("/podcasts/{podcast_id}/stream") -async def stream_podcast( - podcast_id: int, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Stream a podcast audio file. - Requires PODCASTS_READ permission for the search space. - """ - try: - result = await session.execute(select(Podcast).filter(Podcast.id == podcast_id)) - podcast = result.scalars().first() - - if not podcast: - raise HTTPException( - status_code=404, - detail="Podcast not found", - ) - - # Check permission for the search space - await check_permission( - session, - user, - podcast.search_space_id, - Permission.PODCASTS_READ.value, - "You don't have permission to access podcasts in this search space", - ) - - # Get the file path - file_path = podcast.file_location - - # Check if the file exists - if not os.path.isfile(file_path): - raise HTTPException(status_code=404, detail="Podcast audio file not found") - - # Define a generator function to stream the file - def iterfile(): - with open(file_path, mode="rb") as file_like: - yield from file_like - - # Return a streaming response with appropriate headers - return StreamingResponse( - iterfile(), - media_type="audio/mpeg", - headers={ - "Accept-Ranges": "bytes", - "Content-Disposition": f"inline; filename={Path(file_path).name}", - }, - ) - - except HTTPException as he: - raise he - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Error streaming podcast: {e!s}" - ) from e - - -@router.get("/podcasts/by-chat/{chat_id}", response_model=PodcastRead | None) -async def get_podcast_by_chat_id( - chat_id: int, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Get a podcast by its associated chat ID. - Requires PODCASTS_READ permission for the search space. - """ - try: - # First get the chat to find its search space - chat_result = await session.execute(select(Chat).filter(Chat.id == chat_id)) - chat = chat_result.scalars().first() - - if not chat: - return None - - # Check permission for the search space - await check_permission( - session, - user, - chat.search_space_id, - Permission.PODCASTS_READ.value, - "You don't have permission to read podcasts in this search space", - ) - - # Get the podcast - result = await session.execute( - select(Podcast).filter(Podcast.chat_id == chat_id) - ) - podcast = result.scalars().first() - - return podcast - except HTTPException as he: - raise he - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Error fetching podcast: {e!s}" - ) from e - - -@router.get("/podcasts/task/{task_id}/status") -async def get_podcast_task_status( - task_id: str, - user: User = Depends(current_active_user), -): - """ - Get the status of a podcast generation task. - Used by new-chat frontend to poll for completion. - - Returns: - - status: "processing" | "success" | "error" - - podcast_id: (only if status == "success") - - title: (only if status == "success") - - error: (only if status == "error") - """ - try: - from celery.result import AsyncResult - - from app.celery_app import celery_app - - result = AsyncResult(task_id, app=celery_app) - - if result.ready(): - # Task completed - if result.successful(): - task_result = result.result - if isinstance(task_result, dict): - if task_result.get("status") == "success": - return { - "status": "success", - "podcast_id": task_result.get("podcast_id"), - "title": task_result.get("title"), - "transcript_entries": task_result.get("transcript_entries"), - } - else: - return { - "status": "error", - "error": task_result.get("error", "Unknown error"), - } - else: - return { - "status": "error", - "error": "Unexpected task result format", - } - else: - # Task failed - return { - "status": "error", - "error": str(result.result) if result.result else "Task failed", - } - else: - # Task still processing - return { - "status": "processing", - "state": result.state, - } - - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Error checking task status: {e!s}" - ) from e diff --git a/surfsense_backend/app/schemas/__init__.py b/surfsense_backend/app/schemas/__init__.py index 92f9cdc78..4d0eb3595 100644 --- a/surfsense_backend/app/schemas/__init__.py +++ b/surfsense_backend/app/schemas/__init__.py @@ -1,13 +1,4 @@ from .base import IDModel, TimestampModel -from .chats import ( - AISDKChatRequest, - ChatBase, - ChatCreate, - ChatRead, - ChatReadWithoutMessages, - ChatUpdate, - NewChatRequest, -) from .chunks import ChunkBase, ChunkCreate, ChunkRead, ChunkUpdate from .documents import ( DocumentBase, @@ -22,9 +13,11 @@ from .documents import ( from .llm_config import LLMConfigBase, LLMConfigCreate, LLMConfigRead, LLMConfigUpdate from .logs import LogBase, LogCreate, LogFilter, LogRead, LogUpdate from .new_chat import ( + ChatMessage, NewChatMessageAppend, NewChatMessageCreate, NewChatMessageRead, + NewChatRequest, NewChatThreadCreate, NewChatThreadRead, NewChatThreadUpdate, @@ -33,13 +26,6 @@ from .new_chat import ( ThreadListItem, ThreadListResponse, ) -from .podcasts import ( - PodcastBase, - PodcastCreate, - PodcastGenerateRequest, - PodcastRead, - PodcastUpdate, -) from .rbac_schemas import ( InviteAcceptRequest, InviteAcceptResponse, @@ -73,44 +59,8 @@ from .search_space import ( from .users import UserCreate, UserRead, UserUpdate __all__ = [ - "AISDKChatRequest", - "ChatBase", - "ChatCreate", - "ChatRead", - "ChatReadWithoutMessages", - "ChatUpdate", - "ChunkBase", - "ChunkCreate", - "ChunkRead", - "ChunkUpdate", - "DocumentBase", - "DocumentRead", - "DocumentUpdate", - "DocumentWithChunksRead", - "DocumentsCreate", - "ExtensionDocumentContent", - "ExtensionDocumentMetadata", - "IDModel", - # RBAC schemas - "InviteAcceptRequest", - "InviteAcceptResponse", - "InviteCreate", - "InviteInfoResponse", - "InviteRead", - "InviteUpdate", - "LLMConfigBase", - "LLMConfigCreate", - "LLMConfigRead", - "LLMConfigUpdate", - "LogBase", - "LogCreate", - "LogFilter", - "LogRead", - "LogUpdate", - "MembershipRead", - "MembershipReadWithUser", - "MembershipUpdate", - # New chat schemas (assistant-ui integration) + # Chat schemas (assistant-ui integration) + "ChatMessage", "NewChatMessageAppend", "NewChatMessageCreate", "NewChatMessageRead", @@ -119,30 +69,64 @@ __all__ = [ "NewChatThreadRead", "NewChatThreadUpdate", "NewChatThreadWithMessages", + "ThreadHistoryLoadResponse", + "ThreadListItem", + "ThreadListResponse", + # Chunk schemas + "ChunkBase", + "ChunkCreate", + "ChunkRead", + "ChunkUpdate", + # Document schemas + "DocumentBase", + "DocumentRead", + "DocumentUpdate", + "DocumentWithChunksRead", + "DocumentsCreate", + "ExtensionDocumentContent", + "ExtensionDocumentMetadata", "PaginatedResponse", + # Base schemas + "IDModel", + "TimestampModel", + # LLM Config schemas + "LLMConfigBase", + "LLMConfigCreate", + "LLMConfigRead", + "LLMConfigUpdate", + # Log schemas + "LogBase", + "LogCreate", + "LogFilter", + "LogRead", + "LogUpdate", + # RBAC schemas + "InviteAcceptRequest", + "InviteAcceptResponse", + "InviteCreate", + "InviteInfoResponse", + "InviteRead", + "InviteUpdate", + "MembershipRead", + "MembershipReadWithUser", + "MembershipUpdate", "PermissionInfo", "PermissionsListResponse", - "PodcastBase", - "PodcastCreate", - "PodcastGenerateRequest", - "PodcastRead", - "PodcastUpdate", "RoleCreate", "RoleRead", "RoleUpdate", + # Search source connector schemas "SearchSourceConnectorBase", "SearchSourceConnectorCreate", "SearchSourceConnectorRead", "SearchSourceConnectorUpdate", + # Search space schemas "SearchSpaceBase", "SearchSpaceCreate", "SearchSpaceRead", "SearchSpaceUpdate", "SearchSpaceWithStats", - "ThreadHistoryLoadResponse", - "ThreadListItem", - "ThreadListResponse", - "TimestampModel", + # User schemas "UserCreate", "UserRead", "UserSearchSpaceAccess", diff --git a/surfsense_backend/app/schemas/chats.py b/surfsense_backend/app/schemas/chats.py deleted file mode 100644 index 3109130f5..000000000 --- a/surfsense_backend/app/schemas/chats.py +++ /dev/null @@ -1,80 +0,0 @@ -from typing import Any - -from pydantic import BaseModel, ConfigDict - -from app.db import ChatType - -from .base import IDModel, TimestampModel - - -class ChatBase(BaseModel): - type: ChatType - title: str - initial_connectors: list[str] | None = None - messages: list[Any] - search_space_id: int - state_version: int = 1 - - -class ChatBaseWithoutMessages(BaseModel): - type: ChatType - title: str - search_space_id: int - state_version: int = 1 - - -class ClientAttachment(BaseModel): - name: str - content_type: str - url: str - - -class ToolInvocation(BaseModel): - tool_call_id: str - tool_name: str - args: dict - result: dict - - -# class ClientMessage(BaseModel): -# role: str -# content: str -# experimental_attachments: Optional[List[ClientAttachment]] = None -# toolInvocations: Optional[List[ToolInvocation]] = None - - -class AISDKChatRequest(BaseModel): - messages: list[Any] - data: dict[str, Any] | None = None - - -class ChatMessage(BaseModel): - """A single message in the chat history.""" - - role: str # "user" or "assistant" - content: str - - -class NewChatRequest(BaseModel): - """Request schema for the new deep agent chat endpoint.""" - - chat_id: int - user_query: str - search_space_id: int - messages: list[ChatMessage] | None = None # Optional chat history from frontend - - -class ChatCreate(ChatBase): - pass - - -class ChatUpdate(ChatBase): - pass - - -class ChatRead(ChatBase, IDModel, TimestampModel): - model_config = ConfigDict(from_attributes=True) - - -class ChatReadWithoutMessages(ChatBaseWithoutMessages, IDModel, TimestampModel): - model_config = ConfigDict(from_attributes=True) diff --git a/surfsense_backend/app/schemas/new_chat.py b/surfsense_backend/app/schemas/new_chat.py index e1cf4efb8..1fdb50777 100644 --- a/surfsense_backend/app/schemas/new_chat.py +++ b/surfsense_backend/app/schemas/new_chat.py @@ -127,3 +127,24 @@ class ThreadListResponse(BaseModel): threads: list[ThreadListItem] archived_threads: list[ThreadListItem] + + +# ============================================================================= +# Chat Request Schemas (for deep agent) +# ============================================================================= + + +class ChatMessage(BaseModel): + """A single message in the chat history.""" + + role: str # "user" or "assistant" + content: str + + +class NewChatRequest(BaseModel): + """Request schema for the deep agent chat endpoint.""" + + chat_id: int + user_query: str + search_space_id: int + messages: list[ChatMessage] | None = None # Optional chat history from frontend diff --git a/surfsense_backend/app/schemas/podcasts.py b/surfsense_backend/app/schemas/podcasts.py deleted file mode 100644 index b6a6a9a24..000000000 --- a/surfsense_backend/app/schemas/podcasts.py +++ /dev/null @@ -1,33 +0,0 @@ -from typing import Any, Literal - -from pydantic import BaseModel, ConfigDict - -from .base import IDModel, TimestampModel - - -class PodcastBase(BaseModel): - title: str - podcast_transcript: list[Any] - file_location: str = "" - search_space_id: int - chat_state_version: int | None = None - - -class PodcastCreate(PodcastBase): - pass - - -class PodcastUpdate(PodcastBase): - pass - - -class PodcastRead(PodcastBase, IDModel, TimestampModel): - model_config = ConfigDict(from_attributes=True) - - -class PodcastGenerateRequest(BaseModel): - type: Literal["DOCUMENT", "CHAT"] - ids: list[int] - search_space_id: int - podcast_title: str | None = None - user_prompt: str | None = None diff --git a/surfsense_backend/app/tasks/chat/stream_connector_search_results.py b/surfsense_backend/app/tasks/chat/stream_connector_search_results.py deleted file mode 100644 index a4b9b6665..000000000 --- a/surfsense_backend/app/tasks/chat/stream_connector_search_results.py +++ /dev/null @@ -1,75 +0,0 @@ -from collections.abc import AsyncGenerator -from typing import Any -from uuid import UUID - -from sqlalchemy.ext.asyncio import AsyncSession - -from app.agents.researcher.graph import graph as researcher_graph -from app.agents.researcher.state import State -from app.services.streaming_service import StreamingService - - -async def stream_connector_search_results( - user_query: str, - user_id: str | UUID, - search_space_id: int, - session: AsyncSession, - research_mode: str, - selected_connectors: list[str], - langchain_chat_history: list[Any], - document_ids_to_add_in_context: list[int], - language: str | None = None, - top_k: int = 10, -) -> AsyncGenerator[str, None]: - """ - Stream connector search results to the client - - Args: - user_query: The user's query - user_id: The user's ID (can be UUID object or string) - search_space_id: The search space ID - session: The database session - research_mode: The research mode - selected_connectors: List of selected connectors - - Yields: - str: Formatted response strings - """ - streaming_service = StreamingService() - - # Convert UUID to string if needed - user_id_str = str(user_id) if isinstance(user_id, UUID) else user_id - - # Sample configuration - config = { - "configurable": { - "user_query": user_query, - "connectors_to_search": selected_connectors, - "user_id": user_id_str, - "search_space_id": search_space_id, - "document_ids_to_add_in_context": document_ids_to_add_in_context, - "language": language, # Add language to the configuration - "top_k": top_k, # Add top_k to the configuration - } - } - # print(f"Researcher configuration: {config['configurable']}") # Debug print - # Initialize state with database session and streaming service - initial_state = State( - db_session=session, - streaming_service=streaming_service, - chat_history=langchain_chat_history, - ) - - # Run the graph directly - print("\nRunning the complete researcher workflow...") - - # Use streaming with config parameter - async for chunk in researcher_graph.astream( - initial_state, - config=config, - stream_mode="custom", - ): - if isinstance(chunk, dict) and "yield_value" in chunk: - yield chunk["yield_value"] - - yield streaming_service.format_completion() diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index 5ddd097e6..e1061e745 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -18,7 +18,7 @@ from app.agents.new_chat.llm_config import ( create_chat_litellm_from_config, load_llm_config_from_yaml, ) -from app.schemas.chats import ChatMessage +from app.schemas.new_chat import ChatMessage from app.services.connector_service import ConnectorService from app.services.new_streaming_service import VercelStreamingService From c2dcb2045d06ebbed1274fd1f9432d3d18b4c9e0 Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Sun, 21 Dec 2025 22:26:33 -0800 Subject: [PATCH 21/38] feat: added attachment support --- .../49_migrate_old_chats_to_new_chat.py | 40 +- surfsense_backend/app/db.py | 26 +- surfsense_backend/app/routes/__init__.py | 2 + .../app/routes/new_chat_routes.py | 194 +- .../app/routes/podcasts_routes.py | 277 ++ surfsense_backend/app/schemas/__init__.py | 46 +- surfsense_backend/app/schemas/new_chat.py | 12 + surfsense_backend/app/schemas/podcasts.py | 41 + .../app/tasks/celery_tasks/podcast_tasks.py | 53 - .../app/tasks/chat/stream_new_chat.py | 32 +- surfsense_backend/app/tasks/podcast_tasks.py | 215 +- .../[search_space_id]/client-layout.tsx | 183 +- .../new-chat/[[...chat_id]]/page.tsx | 68 +- .../[search_space_id]/podcasts/page.tsx | 24 - .../podcasts/podcasts-client.tsx | 957 ------ .../researcher/[[...chat_id]]/page.tsx | 291 -- surfsense_web/app/dashboard/page.tsx | 4 +- .../atoms/chats/chat-mutation.atoms.ts | 93 - surfsense_web/atoms/chats/chat-query.atoms.ts | 48 - surfsense_web/atoms/chats/ui.atoms.ts | 17 - .../atoms/podcasts/podcast-mutation.atoms.ts | 51 - .../atoms/podcasts/podcast-query.atoms.ts | 17 - surfsense_web/atoms/podcasts/ui.atoms.ts | 7 - .../components/assistant-ui/attachment.tsx | 68 +- .../components/assistant-ui/thread.tsx | 31 +- .../components/chat/AnimatedEmptyState.tsx | 151 - .../components/chat/ChatCitation.tsx | 30 - .../components/chat/ChatFurtherQuestions.tsx | 36 - .../components/chat/ChatInputGroup.tsx | 851 ------ .../components/chat/ChatInterface.tsx | 47 - .../components/chat/ChatMessages.tsx | 73 - .../chat/ChatPanel/ChatPanelContainer.tsx | 60 - .../chat/ChatPanel/ChatPanelView.tsx | 207 -- .../components/chat/ChatPanel/ConfigModal.tsx | 84 - .../ChatPanel/PodcastPlayer/PodcastPlayer.tsx | 329 --- .../PodcastPlayerCompactSkeleton.tsx | 40 - .../chat/ChatPanel/PodcastPlayer/index.ts | 2 - surfsense_web/components/chat/ChatSources.tsx | 226 -- .../components/chat/ChatTerminal.tsx | 105 - surfsense_web/components/chat/Citation.tsx | 118 - surfsense_web/components/chat/CodeBlock.tsx | 211 -- .../components/chat/ConnectorComponents.tsx | 109 - .../components/chat/DocumentsDataTable.tsx | 604 ---- surfsense_web/components/chat/PodcastUtils.ts | 43 - surfsense_web/components/chat/ScrollUtils.tsx | 81 - .../components/chat/SegmentedControl.tsx | 41 - .../components/chat/SourceDetailSheet.tsx | 254 -- surfsense_web/components/chat/SourceUtils.tsx | 69 - surfsense_web/components/chat/index.ts | 9 - surfsense_web/components/chat/types.ts | 50 - .../components/dashboard-breadcrumb.tsx | 21 +- .../components/tool-ui/generate-podcast.tsx | 31 +- surfsense_web/contracts/types/chat.types.ts | 63 - .../contracts/types/podcast.types.ts | 57 - surfsense_web/lib/apis/chats-api.service.ts | 154 - .../lib/apis/podcasts-api.service.ts | 128 - surfsense_web/lib/chat/attachment-adapter.ts | 304 ++ surfsense_web/lib/query-client/cache-keys.ts | 25 +- surfsense_web/messages/en.json | 69 +- surfsense_web/messages/zh.json | 67 +- surfsense_web/package.json | 1 - surfsense_web/pnpm-lock.yaml | 2631 +---------------- 62 files changed, 1166 insertions(+), 9012 deletions(-) create mode 100644 surfsense_backend/app/routes/podcasts_routes.py create mode 100644 surfsense_backend/app/schemas/podcasts.py delete mode 100644 surfsense_web/app/dashboard/[search_space_id]/podcasts/page.tsx delete mode 100644 surfsense_web/app/dashboard/[search_space_id]/podcasts/podcasts-client.tsx delete mode 100644 surfsense_web/app/dashboard/[search_space_id]/researcher/[[...chat_id]]/page.tsx delete mode 100644 surfsense_web/atoms/chats/chat-mutation.atoms.ts delete mode 100644 surfsense_web/atoms/chats/chat-query.atoms.ts delete mode 100644 surfsense_web/atoms/chats/ui.atoms.ts delete mode 100644 surfsense_web/atoms/podcasts/podcast-mutation.atoms.ts delete mode 100644 surfsense_web/atoms/podcasts/podcast-query.atoms.ts delete mode 100644 surfsense_web/atoms/podcasts/ui.atoms.ts delete mode 100644 surfsense_web/components/chat/AnimatedEmptyState.tsx delete mode 100644 surfsense_web/components/chat/ChatCitation.tsx delete mode 100644 surfsense_web/components/chat/ChatFurtherQuestions.tsx delete mode 100644 surfsense_web/components/chat/ChatInputGroup.tsx delete mode 100644 surfsense_web/components/chat/ChatInterface.tsx delete mode 100644 surfsense_web/components/chat/ChatMessages.tsx delete mode 100644 surfsense_web/components/chat/ChatPanel/ChatPanelContainer.tsx delete mode 100644 surfsense_web/components/chat/ChatPanel/ChatPanelView.tsx delete mode 100644 surfsense_web/components/chat/ChatPanel/ConfigModal.tsx delete mode 100644 surfsense_web/components/chat/ChatPanel/PodcastPlayer/PodcastPlayer.tsx delete mode 100644 surfsense_web/components/chat/ChatPanel/PodcastPlayer/PodcastPlayerCompactSkeleton.tsx delete mode 100644 surfsense_web/components/chat/ChatPanel/PodcastPlayer/index.ts delete mode 100644 surfsense_web/components/chat/ChatSources.tsx delete mode 100644 surfsense_web/components/chat/ChatTerminal.tsx delete mode 100644 surfsense_web/components/chat/Citation.tsx delete mode 100644 surfsense_web/components/chat/CodeBlock.tsx delete mode 100644 surfsense_web/components/chat/ConnectorComponents.tsx delete mode 100644 surfsense_web/components/chat/DocumentsDataTable.tsx delete mode 100644 surfsense_web/components/chat/PodcastUtils.ts delete mode 100644 surfsense_web/components/chat/ScrollUtils.tsx delete mode 100644 surfsense_web/components/chat/SegmentedControl.tsx delete mode 100644 surfsense_web/components/chat/SourceDetailSheet.tsx delete mode 100644 surfsense_web/components/chat/SourceUtils.tsx delete mode 100644 surfsense_web/components/chat/index.ts delete mode 100644 surfsense_web/components/chat/types.ts delete mode 100644 surfsense_web/contracts/types/chat.types.ts delete mode 100644 surfsense_web/contracts/types/podcast.types.ts delete mode 100644 surfsense_web/lib/apis/chats-api.service.ts delete mode 100644 surfsense_web/lib/apis/podcasts-api.service.ts create mode 100644 surfsense_web/lib/chat/attachment-adapter.ts diff --git a/surfsense_backend/alembic/versions/49_migrate_old_chats_to_new_chat.py b/surfsense_backend/alembic/versions/49_migrate_old_chats_to_new_chat.py index 2d188b4e1..bacb33f05 100644 --- a/surfsense_backend/alembic/versions/49_migrate_old_chats_to_new_chat.py +++ b/surfsense_backend/alembic/versions/49_migrate_old_chats_to_new_chat.py @@ -13,7 +13,7 @@ This migration: import json from collections.abc import Sequence -from datetime import datetime, timezone +from datetime import datetime import sqlalchemy as sa @@ -116,7 +116,7 @@ def upgrade() -> None: # Only migrate user and assistant messages if role_lower not in ("user", "assistant"): continue - + # Convert to uppercase for database enum role = role_lower.upper() @@ -195,8 +195,18 @@ def downgrade() -> None: sa.Column("initial_connectors", sa.ARRAY(sa.String()), nullable=True), sa.Column("messages", sa.JSON(), nullable=False), sa.Column("state_version", sa.BigInteger(), nullable=False, default=1), - sa.Column("search_space_id", sa.Integer(), sa.ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False), - sa.Column("created_at", sa.TIMESTAMP(timezone=True), nullable=False, server_default=sa.func.now()), + sa.Column( + "search_space_id", + sa.Integer(), + sa.ForeignKey("searchspaces.id", ondelete="CASCADE"), + nullable=False, + ), + sa.Column( + "created_at", + sa.TIMESTAMP(timezone=True), + nullable=False, + server_default=sa.func.now(), + ), ) # Recreate podcasts table @@ -206,11 +216,25 @@ def downgrade() -> None: sa.Column("title", sa.String(), nullable=False, index=True), sa.Column("podcast_transcript", sa.JSON(), nullable=False, server_default="{}"), sa.Column("file_location", sa.String(500), nullable=False, server_default=""), - sa.Column("chat_id", sa.Integer(), sa.ForeignKey("chats.id", ondelete="CASCADE"), nullable=True), + sa.Column( + "chat_id", + sa.Integer(), + sa.ForeignKey("chats.id", ondelete="CASCADE"), + nullable=True, + ), sa.Column("chat_state_version", sa.BigInteger(), nullable=True), - sa.Column("search_space_id", sa.Integer(), sa.ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False), - sa.Column("created_at", sa.TIMESTAMP(timezone=True), nullable=False, server_default=sa.func.now()), + sa.Column( + "search_space_id", + sa.Integer(), + sa.ForeignKey("searchspaces.id", ondelete="CASCADE"), + nullable=False, + ), + sa.Column( + "created_at", + sa.TIMESTAMP(timezone=True), + nullable=False, + server_default=sa.func.now(), + ), ) print("[Migration 49 Downgrade] Tables recreated (data not restored)") - diff --git a/surfsense_backend/app/db.py b/surfsense_backend/app/db.py index 8a3a7e30e..b563cd594 100644 --- a/surfsense_backend/app/db.py +++ b/surfsense_backend/app/db.py @@ -9,7 +9,6 @@ from sqlalchemy import ( ARRAY, JSON, TIMESTAMP, - BigInteger, Boolean, Column, Enum as SQLAlchemyEnum, @@ -423,6 +422,25 @@ class Chunk(BaseModel, TimestampMixin): document = relationship("Document", back_populates="chunks") +class Podcast(BaseModel, TimestampMixin): + """Podcast model for storing generated podcasts.""" + + __tablename__ = "podcasts" + + title = Column(String(500), nullable=False) + podcast_transcript = Column(JSONB, nullable=True) # List of transcript entries + file_location = Column(Text, nullable=True) # Path to the audio file + + search_space_id = Column( + Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + ) + search_space = relationship("SearchSpace", back_populates="podcasts") + + # Optional: link to chat thread (null for content-based podcasts from new-chat) + chat_id = Column(Integer, nullable=True) + chat_state_version = Column(String(100), nullable=True) + + class SearchSpace(BaseModel, TimestampMixin): __tablename__ = "searchspaces" @@ -459,6 +477,12 @@ class SearchSpace(BaseModel, TimestampMixin): order_by="NewChatThread.updated_at.desc()", cascade="all, delete-orphan", ) + podcasts = relationship( + "Podcast", + back_populates="search_space", + order_by="Podcast.id.desc()", + cascade="all, delete-orphan", + ) logs = relationship( "Log", back_populates="search_space", diff --git a/surfsense_backend/app/routes/__init__.py b/surfsense_backend/app/routes/__init__.py index 732693eb5..6ad87d975 100644 --- a/surfsense_backend/app/routes/__init__.py +++ b/surfsense_backend/app/routes/__init__.py @@ -16,6 +16,7 @@ from .logs_routes import router as logs_router from .luma_add_connector_route import router as luma_add_connector_router from .new_chat_routes import router as new_chat_router from .notes_routes import router as notes_router +from .podcasts_routes import router as podcasts_router from .rbac_routes import router as rbac_router from .search_source_connectors_routes import router as search_source_connectors_router from .search_spaces_routes import router as search_spaces_router @@ -28,6 +29,7 @@ router.include_router(editor_router) router.include_router(documents_router) router.include_router(notes_router) router.include_router(new_chat_router) # Chat with assistant-ui persistence +router.include_router(podcasts_router) # Podcast task status and audio router.include_router(search_source_connectors_router) router.include_router(google_calendar_add_connector_router) router.include_router(google_gmail_add_connector_router) diff --git a/surfsense_backend/app/routes/new_chat_routes.py b/surfsense_backend/app/routes/new_chat_routes.py index 8d2734808..cc9c94eea 100644 --- a/surfsense_backend/app/routes/new_chat_routes.py +++ b/surfsense_backend/app/routes/new_chat_routes.py @@ -8,11 +8,16 @@ These endpoints support the ThreadHistoryAdapter pattern from assistant-ui: - PUT /threads/{thread_id} - Update thread (rename, archive) - DELETE /threads/{thread_id} - Delete thread - POST /threads/{thread_id}/messages - Append message +- POST /attachments/process - Process attachments for chat context """ +import contextlib +import os +import tempfile +import uuid from datetime import UTC, datetime -from fastapi import APIRouter, Depends, HTTPException, Request +from fastapi import APIRouter, Depends, File, HTTPException, Request, UploadFile from fastapi.responses import StreamingResponse from sqlalchemy.exc import IntegrityError, OperationalError from sqlalchemy.ext.asyncio import AsyncSession @@ -650,10 +655,10 @@ async def handle_new_chat( ): """ Stream chat responses from the deep agent. - + This endpoint handles the new chat functionality with streaming responses using Server-Sent Events (SSE) format compatible with Vercel AI SDK. - + Requires CHATS_CREATE permission. """ try: @@ -695,6 +700,7 @@ async def handle_new_chat( session=session, llm_config_id=llm_config_id, messages=request.messages, + attachments=request.attachments, ), media_type="text/event-stream", headers={ @@ -711,3 +717,185 @@ async def handle_new_chat( status_code=500, detail=f"An unexpected error occurred: {e!s}", ) from None + + +# ============================================================================= +# Attachment Processing Endpoint +# ============================================================================= + + +@router.post("/attachments/process") +async def process_attachment( + file: UploadFile = File(...), + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Process an attachment file and extract its content as markdown. + + This endpoint uses the configured ETL service to parse files and return + the extracted content that can be used as context in chat messages. + + Supported file types depend on the configured ETL_SERVICE: + - Markdown/Text files: .md, .markdown, .txt (always supported) + - Audio files: .mp3, .mp4, .mpeg, .mpga, .m4a, .wav, .webm (if STT configured) + - Documents: .pdf, .docx, .doc, .pptx, .xlsx (depends on ETL service) + + Returns: + JSON with attachment id, name, type, and extracted content + """ + from app.config import config as app_config + + if not file.filename: + raise HTTPException(status_code=400, detail="No filename provided") + + filename = file.filename + attachment_id = str(uuid.uuid4()) + + try: + # Save file to a temporary location + file_ext = os.path.splitext(filename)[1].lower() + with tempfile.NamedTemporaryFile(delete=False, suffix=file_ext) as temp_file: + temp_path = temp_file.name + content = await file.read() + temp_file.write(content) + + extracted_content = "" + + # Process based on file type + if file_ext in (".md", ".markdown", ".txt"): + # For text/markdown files, read content directly + with open(temp_path, encoding="utf-8") as f: + extracted_content = f.read() + + elif file_ext in (".mp3", ".mp4", ".mpeg", ".mpga", ".m4a", ".wav", ".webm"): + # Audio files - transcribe if STT service is configured + if not app_config.STT_SERVICE: + raise HTTPException( + status_code=422, + detail="Audio transcription is not configured. Please set STT_SERVICE.", + ) + + stt_service_type = ( + "local" if app_config.STT_SERVICE.startswith("local/") else "external" + ) + + if stt_service_type == "local": + from app.services.stt_service import stt_service + + result = stt_service.transcribe_file(temp_path) + extracted_content = result.get("text", "") + else: + from litellm import atranscription + + with open(temp_path, "rb") as audio_file: + transcription_kwargs = { + "model": app_config.STT_SERVICE, + "file": audio_file, + "api_key": app_config.STT_SERVICE_API_KEY, + } + if app_config.STT_SERVICE_API_BASE: + transcription_kwargs["api_base"] = ( + app_config.STT_SERVICE_API_BASE + ) + + transcription_response = await atranscription( + **transcription_kwargs + ) + extracted_content = transcription_response.get("text", "") + + if extracted_content: + extracted_content = ( + f"# Transcription of {filename}\n\n{extracted_content}" + ) + + else: + # Document files - use configured ETL service + if app_config.ETL_SERVICE == "UNSTRUCTURED": + from langchain_unstructured import UnstructuredLoader + + from app.utils.document_converters import convert_document_to_markdown + + loader = UnstructuredLoader( + temp_path, + mode="elements", + post_processors=[], + languages=["eng"], + include_orig_elements=False, + include_metadata=False, + strategy="auto", + ) + docs = await loader.aload() + extracted_content = await convert_document_to_markdown(docs) + + elif app_config.ETL_SERVICE == "LLAMACLOUD": + from llama_cloud_services import LlamaParse + from llama_cloud_services.parse.utils import ResultType + + parser = LlamaParse( + api_key=app_config.LLAMA_CLOUD_API_KEY, + num_workers=1, + verbose=False, + language="en", + result_type=ResultType.MD, + ) + result = await parser.aparse(temp_path) + markdown_documents = await result.aget_markdown_documents( + split_by_page=False + ) + + if markdown_documents: + extracted_content = "\n\n".join( + doc.text for doc in markdown_documents + ) + + elif app_config.ETL_SERVICE == "DOCLING": + from app.services.docling_service import create_docling_service + + docling_service = create_docling_service() + result = await docling_service.process_document(temp_path, filename) + extracted_content = result.get("content", "") + + else: + raise HTTPException( + status_code=422, + detail=f"ETL service not configured or unsupported file type: {file_ext}", + ) + + # Clean up temp file + with contextlib.suppress(Exception): + os.unlink(temp_path) + + if not extracted_content: + raise HTTPException( + status_code=422, + detail=f"Could not extract content from file: {filename}", + ) + + # Determine attachment type (must be one of: "image", "document", "file") + # assistant-ui only supports these three types + if file_ext in (".png", ".jpg", ".jpeg", ".gif", ".webp"): + attachment_type = "image" + else: + # All other files (including audio, documents, text) are treated as "document" + attachment_type = "document" + + return { + "id": attachment_id, + "name": filename, + "type": attachment_type, + "content": extracted_content, + "contentLength": len(extracted_content), + } + + except HTTPException: + raise + except Exception as e: + # Clean up temp file on error + with contextlib.suppress(Exception): + os.unlink(temp_path) + + raise HTTPException( + status_code=500, + detail=f"Failed to process attachment: {e!s}", + ) from e diff --git a/surfsense_backend/app/routes/podcasts_routes.py b/surfsense_backend/app/routes/podcasts_routes.py new file mode 100644 index 000000000..ef362edb5 --- /dev/null +++ b/surfsense_backend/app/routes/podcasts_routes.py @@ -0,0 +1,277 @@ +""" +Podcast routes for task status polling and audio retrieval. + +These routes support the podcast generation feature in new-chat. +Note: The old Chat-based podcast generation has been removed. +""" + +import os +from pathlib import Path + +from celery.result import AsyncResult +from fastapi import APIRouter, Depends, HTTPException +from fastapi.responses import StreamingResponse +from sqlalchemy import select +from sqlalchemy.exc import SQLAlchemyError +from sqlalchemy.ext.asyncio import AsyncSession + +from app.celery_app import celery_app +from app.db import ( + Permission, + Podcast, + SearchSpace, + SearchSpaceMembership, + User, + get_async_session, +) +from app.schemas import PodcastRead +from app.users import current_active_user +from app.utils.rbac import check_permission + +router = APIRouter() + + +@router.get("/podcasts", response_model=list[PodcastRead]) +async def read_podcasts( + skip: int = 0, + limit: int = 100, + search_space_id: int | None = None, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + List podcasts the user has access to. + Requires PODCASTS_READ permission for the search space(s). + """ + if skip < 0 or limit < 1: + raise HTTPException(status_code=400, detail="Invalid pagination parameters") + try: + if search_space_id is not None: + # Check permission for specific search space + await check_permission( + session, + user, + search_space_id, + Permission.PODCASTS_READ.value, + "You don't have permission to read podcasts in this search space", + ) + result = await session.execute( + select(Podcast) + .filter(Podcast.search_space_id == search_space_id) + .offset(skip) + .limit(limit) + ) + else: + # Get podcasts from all search spaces user has membership in + result = await session.execute( + select(Podcast) + .join(SearchSpace) + .join(SearchSpaceMembership) + .filter(SearchSpaceMembership.user_id == user.id) + .offset(skip) + .limit(limit) + ) + return result.scalars().all() + except HTTPException: + raise + except SQLAlchemyError: + raise HTTPException( + status_code=500, detail="Database error occurred while fetching podcasts" + ) from None + + +@router.get("/podcasts/{podcast_id}", response_model=PodcastRead) +async def read_podcast( + podcast_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Get a specific podcast by ID. + Requires PODCASTS_READ permission for the search space. + """ + try: + result = await session.execute(select(Podcast).filter(Podcast.id == podcast_id)) + podcast = result.scalars().first() + + if not podcast: + raise HTTPException( + status_code=404, + detail="Podcast not found", + ) + + # Check permission for the search space + await check_permission( + session, + user, + podcast.search_space_id, + Permission.PODCASTS_READ.value, + "You don't have permission to read podcasts in this search space", + ) + + return podcast + except HTTPException as he: + raise he + except SQLAlchemyError: + raise HTTPException( + status_code=500, detail="Database error occurred while fetching podcast" + ) from None + + +@router.delete("/podcasts/{podcast_id}", response_model=dict) +async def delete_podcast( + podcast_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Delete a podcast. + Requires PODCASTS_DELETE permission for the search space. + """ + try: + result = await session.execute(select(Podcast).filter(Podcast.id == podcast_id)) + db_podcast = result.scalars().first() + + if not db_podcast: + raise HTTPException(status_code=404, detail="Podcast not found") + + # Check permission for the search space + await check_permission( + session, + user, + db_podcast.search_space_id, + Permission.PODCASTS_DELETE.value, + "You don't have permission to delete podcasts in this search space", + ) + + await session.delete(db_podcast) + await session.commit() + return {"message": "Podcast deleted successfully"} + except HTTPException as he: + raise he + except SQLAlchemyError: + await session.rollback() + raise HTTPException( + status_code=500, detail="Database error occurred while deleting podcast" + ) from None + + +@router.get("/podcasts/{podcast_id}/stream") +@router.get("/podcasts/{podcast_id}/audio") +async def stream_podcast( + podcast_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Stream a podcast audio file. + Requires PODCASTS_READ permission for the search space. + + Note: Both /stream and /audio endpoints are supported for compatibility. + """ + try: + result = await session.execute(select(Podcast).filter(Podcast.id == podcast_id)) + podcast = result.scalars().first() + + if not podcast: + raise HTTPException( + status_code=404, + detail="Podcast not found", + ) + + # Check permission for the search space + await check_permission( + session, + user, + podcast.search_space_id, + Permission.PODCASTS_READ.value, + "You don't have permission to access podcasts in this search space", + ) + + # Get the file path + file_path = podcast.file_location + + # Check if the file exists + if not file_path or not os.path.isfile(file_path): + raise HTTPException(status_code=404, detail="Podcast audio file not found") + + # Define a generator function to stream the file + def iterfile(): + with open(file_path, mode="rb") as file_like: + yield from file_like + + # Return a streaming response with appropriate headers + return StreamingResponse( + iterfile(), + media_type="audio/mpeg", + headers={ + "Accept-Ranges": "bytes", + "Content-Disposition": f"inline; filename={Path(file_path).name}", + }, + ) + + except HTTPException as he: + raise he + except Exception as e: + raise HTTPException( + status_code=500, detail=f"Error streaming podcast: {e!s}" + ) from e + + +@router.get("/podcasts/task/{task_id}/status") +async def get_podcast_task_status( + task_id: str, + user: User = Depends(current_active_user), +): + """ + Get the status of a podcast generation task. + Used by new-chat frontend to poll for completion. + + Returns: + - status: "processing" | "success" | "error" + - podcast_id: (only if status == "success") + - title: (only if status == "success") + - error: (only if status == "error") + """ + try: + result = AsyncResult(task_id, app=celery_app) + + if result.ready(): + # Task completed + if result.successful(): + task_result = result.result + if isinstance(task_result, dict): + if task_result.get("status") == "success": + return { + "status": "success", + "podcast_id": task_result.get("podcast_id"), + "title": task_result.get("title"), + "transcript_entries": task_result.get("transcript_entries"), + } + else: + return { + "status": "error", + "error": task_result.get("error", "Unknown error"), + } + else: + return { + "status": "error", + "error": "Unexpected task result format", + } + else: + # Task failed + return { + "status": "error", + "error": str(result.result) if result.result else "Task failed", + } + else: + # Task still processing + return { + "status": "processing", + "state": result.state, + } + + except Exception as e: + raise HTTPException( + status_code=500, detail=f"Error checking task status: {e!s}" + ) from e diff --git a/surfsense_backend/app/schemas/__init__.py b/surfsense_backend/app/schemas/__init__.py index 4d0eb3595..9ec639e7b 100644 --- a/surfsense_backend/app/schemas/__init__.py +++ b/surfsense_backend/app/schemas/__init__.py @@ -26,6 +26,7 @@ from .new_chat import ( ThreadListItem, ThreadListResponse, ) +from .podcasts import PodcastBase, PodcastCreate, PodcastRead, PodcastUpdate from .rbac_schemas import ( InviteAcceptRequest, InviteAcceptResponse, @@ -61,17 +62,6 @@ from .users import UserCreate, UserRead, UserUpdate __all__ = [ # Chat schemas (assistant-ui integration) "ChatMessage", - "NewChatMessageAppend", - "NewChatMessageCreate", - "NewChatMessageRead", - "NewChatRequest", - "NewChatThreadCreate", - "NewChatThreadRead", - "NewChatThreadUpdate", - "NewChatThreadWithMessages", - "ThreadHistoryLoadResponse", - "ThreadListItem", - "ThreadListResponse", # Chunk schemas "ChunkBase", "ChunkCreate", @@ -85,10 +75,15 @@ __all__ = [ "DocumentsCreate", "ExtensionDocumentContent", "ExtensionDocumentMetadata", - "PaginatedResponse", # Base schemas "IDModel", - "TimestampModel", + # RBAC schemas + "InviteAcceptRequest", + "InviteAcceptResponse", + "InviteCreate", + "InviteInfoResponse", + "InviteRead", + "InviteUpdate", # LLM Config schemas "LLMConfigBase", "LLMConfigCreate", @@ -100,18 +95,25 @@ __all__ = [ "LogFilter", "LogRead", "LogUpdate", - # RBAC schemas - "InviteAcceptRequest", - "InviteAcceptResponse", - "InviteCreate", - "InviteInfoResponse", - "InviteRead", - "InviteUpdate", "MembershipRead", "MembershipReadWithUser", "MembershipUpdate", + "NewChatMessageAppend", + "NewChatMessageCreate", + "NewChatMessageRead", + "NewChatRequest", + "NewChatThreadCreate", + "NewChatThreadRead", + "NewChatThreadUpdate", + "NewChatThreadWithMessages", + "PaginatedResponse", "PermissionInfo", "PermissionsListResponse", + # Podcast schemas + "PodcastBase", + "PodcastCreate", + "PodcastRead", + "PodcastUpdate", "RoleCreate", "RoleRead", "RoleUpdate", @@ -126,6 +128,10 @@ __all__ = [ "SearchSpaceRead", "SearchSpaceUpdate", "SearchSpaceWithStats", + "ThreadHistoryLoadResponse", + "ThreadListItem", + "ThreadListResponse", + "TimestampModel", # User schemas "UserCreate", "UserRead", diff --git a/surfsense_backend/app/schemas/new_chat.py b/surfsense_backend/app/schemas/new_chat.py index 1fdb50777..ffaf85554 100644 --- a/surfsense_backend/app/schemas/new_chat.py +++ b/surfsense_backend/app/schemas/new_chat.py @@ -141,6 +141,15 @@ class ChatMessage(BaseModel): content: str +class ChatAttachment(BaseModel): + """An attachment with its extracted content for chat context.""" + + id: str # Unique attachment ID + name: str # Original filename + type: str # Attachment type: document, image, audio + content: str # Extracted markdown content from the file + + class NewChatRequest(BaseModel): """Request schema for the deep agent chat endpoint.""" @@ -148,3 +157,6 @@ class NewChatRequest(BaseModel): user_query: str search_space_id: int messages: list[ChatMessage] | None = None # Optional chat history from frontend + attachments: list[ChatAttachment] | None = ( + None # Optional attachments with extracted content + ) diff --git a/surfsense_backend/app/schemas/podcasts.py b/surfsense_backend/app/schemas/podcasts.py new file mode 100644 index 000000000..bcf50a710 --- /dev/null +++ b/surfsense_backend/app/schemas/podcasts.py @@ -0,0 +1,41 @@ +"""Podcast schemas for API responses.""" + +from datetime import datetime +from typing import Any + +from pydantic import BaseModel + + +class PodcastBase(BaseModel): + """Base podcast schema.""" + + title: str + podcast_transcript: list[dict[str, Any]] | None = None + file_location: str | None = None + search_space_id: int + chat_id: int | None = None + chat_state_version: str | None = None + + +class PodcastCreate(PodcastBase): + """Schema for creating a podcast.""" + + pass + + +class PodcastUpdate(BaseModel): + """Schema for updating a podcast.""" + + title: str | None = None + podcast_transcript: list[dict[str, Any]] | None = None + file_location: str | None = None + + +class PodcastRead(PodcastBase): + """Schema for reading a podcast.""" + + id: int + created_at: datetime + + class Config: + from_attributes = True diff --git a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py index aa28259ab..7f67ba599 100644 --- a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py @@ -13,7 +13,6 @@ from app.agents.podcaster.state import State as PodcasterState from app.celery_app import celery_app from app.config import config from app.db import Podcast -from app.tasks.podcast_tasks import generate_chat_podcast logger = logging.getLogger(__name__) @@ -40,58 +39,6 @@ def get_celery_session_maker(): return async_sessionmaker(engine, expire_on_commit=False) -@celery_app.task(name="generate_chat_podcast", bind=True) -def generate_chat_podcast_task( - self, - chat_id: int, - search_space_id: int, - user_id: int, - podcast_title: str | None = None, - user_prompt: str | None = None, -): - """ - Celery task to generate podcast from chat. - - Args: - chat_id: ID of the chat to generate podcast from - search_space_id: ID of the search space - user_id: ID of the user, - podcast_title: Title for the podcast - user_prompt: Optional prompt from the user to guide the podcast generation - """ - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - - try: - loop.run_until_complete( - _generate_chat_podcast( - chat_id, search_space_id, user_id, podcast_title, user_prompt - ) - ) - loop.run_until_complete(loop.shutdown_asyncgens()) - finally: - asyncio.set_event_loop(None) - loop.close() - - -async def _generate_chat_podcast( - chat_id: int, - search_space_id: int, - user_id: int, - podcast_title: str | None = None, - user_prompt: str | None = None, -): - """Generate chat podcast with new session.""" - async with get_celery_session_maker()() as session: - try: - await generate_chat_podcast( - session, chat_id, search_space_id, user_id, podcast_title, user_prompt - ) - except Exception as e: - logger.error(f"Error generating podcast from chat: {e!s}") - raise - - # ============================================================================= # Content-based podcast generation (for new-chat) # ============================================================================= diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index e1061e745..9711445aa 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -18,11 +18,28 @@ from app.agents.new_chat.llm_config import ( create_chat_litellm_from_config, load_llm_config_from_yaml, ) -from app.schemas.new_chat import ChatMessage +from app.schemas.new_chat import ChatAttachment, ChatMessage from app.services.connector_service import ConnectorService from app.services.new_streaming_service import VercelStreamingService +def format_attachments_as_context(attachments: list[ChatAttachment]) -> str: + """Format attachments as context for the agent.""" + if not attachments: + return "" + + context_parts = [""] + for i, attachment in enumerate(attachments, 1): + context_parts.append( + f"" + ) + context_parts.append(f"") + context_parts.append("") + context_parts.append("") + + return "\n".join(context_parts) + + async def stream_new_chat( user_query: str, user_id: str | UUID, @@ -31,6 +48,7 @@ async def stream_new_chat( session: AsyncSession, llm_config_id: int = -1, messages: list[ChatMessage] | None = None, + attachments: list[ChatAttachment] | None = None, ) -> AsyncGenerator[str, None]: """ Stream chat responses from the new SurfSense deep agent. @@ -96,6 +114,14 @@ async def stream_new_chat( # Build input with message history from frontend langchain_messages = [] + # Format the user query with attachment context if any + final_query = user_query + if attachments: + attachment_context = format_attachments_as_context(attachments) + final_query = ( + f"{attachment_context}\n\n{user_query}" + ) + # if messages: # # Convert frontend messages to LangChain format # for msg in messages: @@ -104,8 +130,8 @@ async def stream_new_chat( # elif msg.role == "assistant": # langchain_messages.append(AIMessage(content=msg.content)) # else: - # Fallback: just use the current user query - langchain_messages.append(HumanMessage(content=user_query)) + # Fallback: just use the current user query with attachment context + langchain_messages.append(HumanMessage(content=final_query)) input_state = { # Lets not pass this message atm because we are using the checkpointer to manage the conversation history diff --git a/surfsense_backend/app/tasks/podcast_tasks.py b/surfsense_backend/app/tasks/podcast_tasks.py index 2285c5d09..21cd0d947 100644 --- a/surfsense_backend/app/tasks/podcast_tasks.py +++ b/surfsense_backend/app/tasks/podcast_tasks.py @@ -1,11 +1,15 @@ -from sqlalchemy import select -from sqlalchemy.exc import SQLAlchemyError +""" +Legacy podcast task for old chat system. + +NOTE: The old Chat model has been removed. This module is kept for backwards +compatibility but the generate_chat_podcast function will raise an error +if called. Use generate_content_podcast_task in celery_tasks/podcast_tasks.py +for new-chat podcast generation instead. +""" + from sqlalchemy.ext.asyncio import AsyncSession -from app.agents.podcaster.graph import graph as podcaster_graph -from app.agents.podcaster.state import State -from app.db import Chat, Podcast -from app.services.task_logging_service import TaskLoggingService +from app.db import Podcast # noqa: F401 - imported for backwards compatibility async def generate_chat_podcast( @@ -16,196 +20,13 @@ async def generate_chat_podcast( podcast_title: str | None = None, user_prompt: str | None = None, ): - task_logger = TaskLoggingService(session, search_space_id) + """ + Legacy function for generating podcasts from old chat system. - # Log task start - log_entry = await task_logger.log_task_start( - task_name="generate_chat_podcast", - source="podcast_task", - message=f"Starting podcast generation for chat {chat_id}", - metadata={ - "chat_id": chat_id, - "search_space_id": search_space_id, - "podcast_title": podcast_title, - "user_id": str(user_id), - "user_prompt": user_prompt, - }, + This function is deprecated as the old Chat model has been removed. + Use generate_content_podcast_task for new-chat podcast generation. + """ + raise NotImplementedError( + "generate_chat_podcast is deprecated. The old Chat model has been removed. " + "Use generate_content_podcast_task for podcast generation from new-chat." ) - - try: - # Fetch the chat with the specified ID - await task_logger.log_task_progress( - log_entry, f"Fetching chat {chat_id} from database", {"stage": "fetch_chat"} - ) - - query = select(Chat).filter( - Chat.id == chat_id, Chat.search_space_id == search_space_id - ) - - result = await session.execute(query) - chat = result.scalars().first() - - if not chat: - await task_logger.log_task_failure( - log_entry, - f"Chat with id {chat_id} not found in search space {search_space_id}", - "Chat not found", - {"error_type": "ChatNotFound"}, - ) - raise ValueError( - f"Chat with id {chat_id} not found in search space {search_space_id}" - ) - - # Create chat history structure - await task_logger.log_task_progress( - log_entry, - f"Processing chat history for chat {chat_id}", - {"stage": "process_chat_history", "message_count": len(chat.messages)}, - ) - - chat_history_str = "" - - processed_messages = 0 - for message in chat.messages: - if message["role"] == "user": - chat_history_str += f"{message['content']}" - processed_messages += 1 - elif message["role"] == "assistant": - chat_history_str += ( - f"{message['content']}" - ) - processed_messages += 1 - - chat_history_str += "" - - # Pass it to the SurfSense Podcaster - await task_logger.log_task_progress( - log_entry, - f"Initializing podcast generation for chat {chat_id}", - { - "stage": "initialize_podcast_generation", - "processed_messages": processed_messages, - "content_length": len(chat_history_str), - }, - ) - - config = { - "configurable": { - "podcast_title": podcast_title or "SurfSense Podcast", - "user_id": str(user_id), - "search_space_id": search_space_id, - "user_prompt": user_prompt, - } - } - # Initialize state with database session and streaming service - initial_state = State(source_content=chat_history_str, db_session=session) - - # Run the graph directly - await task_logger.log_task_progress( - log_entry, - f"Running podcast generation graph for chat {chat_id}", - {"stage": "run_podcast_graph"}, - ) - - result = await podcaster_graph.ainvoke(initial_state, config=config) - - # Convert podcast transcript entries to serializable format - await task_logger.log_task_progress( - log_entry, - f"Processing podcast transcript for chat {chat_id}", - { - "stage": "process_transcript", - "transcript_entries": len(result["podcast_transcript"]), - }, - ) - - serializable_transcript = [] - for entry in result["podcast_transcript"]: - serializable_transcript.append( - {"speaker_id": entry.speaker_id, "dialog": entry.dialog} - ) - - # Create a new podcast entry - await task_logger.log_task_progress( - log_entry, - f"Creating podcast database entry for chat {chat_id}", - { - "stage": "create_podcast_entry", - "file_location": result.get("final_podcast_file_path"), - }, - ) - - # check if podcast already exists for this chat (re-generation) - existing_podcast = await session.execute( - select(Podcast).filter(Podcast.chat_id == chat_id) - ) - existing_podcast = existing_podcast.scalars().first() - - if existing_podcast: - existing_podcast.podcast_transcript = serializable_transcript - existing_podcast.file_location = result["final_podcast_file_path"] - existing_podcast.chat_state_version = chat.state_version - await session.commit() - await session.refresh(existing_podcast) - return existing_podcast - else: - podcast = Podcast( - title=f"{podcast_title}", - podcast_transcript=serializable_transcript, - file_location=result["final_podcast_file_path"], - search_space_id=search_space_id, - chat_state_version=chat.state_version, - chat_id=chat.id, - ) - - # Add to session and commit - session.add(podcast) - await session.commit() - await session.refresh(podcast) - - # Log success - await task_logger.log_task_success( - log_entry, - f"Successfully generated podcast for chat {chat_id}", - { - "podcast_id": podcast.id, - "podcast_title": podcast_title, - "transcript_entries": len(serializable_transcript), - "file_location": result.get("final_podcast_file_path"), - "processed_messages": processed_messages, - "content_length": len(chat_history_str), - }, - ) - - return podcast - - except ValueError as ve: - # ValueError is already logged above for chat not found - if "not found" not in str(ve): - await task_logger.log_task_failure( - log_entry, - f"Value error during podcast generation for chat {chat_id}", - str(ve), - {"error_type": "ValueError"}, - ) - raise ve - except SQLAlchemyError as db_error: - await session.rollback() - await task_logger.log_task_failure( - log_entry, - f"Database error during podcast generation for chat {chat_id}", - str(db_error), - {"error_type": "SQLAlchemyError"}, - ) - raise db_error - except Exception as e: - await session.rollback() - await task_logger.log_task_failure( - log_entry, - f"Unexpected error during podcast generation for chat {chat_id}", - str(e), - {"error_type": type(e).__name__}, - ) - raise RuntimeError( - f"Failed to generate podcast for chat {chat_id}: {e!s}" - ) from e diff --git a/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx b/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx index 5583af64d..0e0f32d2b 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx @@ -1,24 +1,20 @@ "use client"; -import { useAtom, useAtomValue, useSetAtom } from "jotai"; -import { Loader2, PanelRight } from "lucide-react"; -import { AnimatePresence, motion } from "motion/react"; +import { useAtomValue, useSetAtom } from "jotai"; +import { Loader2 } from "lucide-react"; import { useParams, usePathname, useRouter } from "next/navigation"; import { useTranslations } from "next-intl"; import type React from "react"; import { useCallback, useEffect, useMemo, useState } from "react"; -import { activeChathatUIAtom, activeChatIdAtom } from "@/atoms/chats/ui.atoms"; import { llmPreferencesAtom } from "@/atoms/llm-config/llm-config-query.atoms"; import { myAccessAtom } from "@/atoms/members/members-query.atoms"; import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; -import { ChatPanelContainer } from "@/components/chat/ChatPanel/ChatPanelContainer"; import { DashboardBreadcrumb } from "@/components/dashboard-breadcrumb"; import { LanguageSwitcher } from "@/components/LanguageSwitcher"; import { AppSidebarProvider } from "@/components/sidebar/AppSidebarProvider"; import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; import { Separator } from "@/components/ui/separator"; import { SidebarInset, SidebarProvider, SidebarTrigger } from "@/components/ui/sidebar"; -import { cn } from "@/lib/utils"; export function DashboardClientLayout({ children, @@ -34,33 +30,8 @@ export function DashboardClientLayout({ const t = useTranslations("dashboard"); const router = useRouter(); const pathname = usePathname(); - const searchSpaceIdNum = Number(searchSpaceId); - const { search_space_id, chat_id } = useParams(); - const [chatUIState, setChatUIState] = useAtom(activeChathatUIAtom); - const activeChatId = useAtomValue(activeChatIdAtom); + const { search_space_id } = useParams(); const setActiveSearchSpaceIdState = useSetAtom(activeSearchSpaceIdAtom); - const setActiveChatIdState = useSetAtom(activeChatIdAtom); - const [showIndicator, setShowIndicator] = useState(false); - - const { isChatPannelOpen } = chatUIState; - - // Check if we're on the researcher page - const isResearcherPage = pathname?.includes("/researcher"); - - // Check if we're on the new-chat page (uses separate thread persistence) - const isNewChatPage = pathname?.includes("/new-chat"); - - // Show indicator when chat becomes active and panel is closed - useEffect(() => { - if (activeChatId && !isChatPannelOpen) { - setShowIndicator(true); - // Hide indicator after 5 seconds - const timer = setTimeout(() => setShowIndicator(false), 5000); - return () => clearTimeout(timer); - } else { - setShowIndicator(false); - } - }, [activeChatId, isChatPannelOpen]); const { data: preferences = {}, isFetching: loading, error } = useAtomValue(llmPreferencesAtom); @@ -151,24 +122,7 @@ export function DashboardClientLayout({ : ""; if (!activeSeacrhSpaceId) return; setActiveSearchSpaceIdState(activeSeacrhSpaceId); - }, [search_space_id]); - - useEffect(() => { - // Skip setting activeChatIdAtom on new-chat page (uses separate thread persistence) - if (isNewChatPage) { - setActiveChatIdState(null); - return; - } - - const activeChatId = - typeof chat_id === "string" - ? chat_id - : Array.isArray(chat_id) && chat_id.length > 0 - ? chat_id[0] - : ""; - if (!activeChatId) return; - setActiveChatIdState(activeChatId); - }, [chat_id, search_space_id, isNewChatPage]); + }, [search_space_id, setActiveSearchSpaceIdState]); // Show loading screen while checking onboarding status (only on first load) if (!hasCheckedOnboarding && (loading || accessLoading) && !isOnboardingPage) { @@ -221,123 +175,20 @@ export function DashboardClientLayout({ navMain={translatedNavMain} /> -
          -
          -
          -
          -
          - - - -
          -
          - - {/* Only show artifacts toggle on researcher page */} - {isResearcherPage && ( - - { - setChatUIState((prev) => ({ - ...prev, - isChatPannelOpen: !isChatPannelOpen, - })); - setShowIndicator(false); - }} - className={cn( - "shrink-0 rounded-full p-2 transition-all duration-300 relative", - showIndicator - ? "bg-primary/20 hover:bg-primary/30 shadow-lg shadow-primary/25" - : "hover:bg-muted", - activeChatId && !showIndicator && "hover:bg-primary/10" - )} - title="Toggle Artifacts Panel" - whileHover={{ scale: 1.05 }} - whileTap={{ scale: 0.95 }} - > - - - - - - {/* Pulsing indicator badge */} - - {showIndicator && ( - - -
          - - - - )} - - - )} -
          +
          +
          +
          +
          + + +
          -
          -
          {children}
          -
          - {/* Only render chat panel on researcher page */} - {isResearcherPage && } +
          + +
          +
          +
          +
          {children}
           diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index 317209429..1426ecea1 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -1,6 +1,7 @@ "use client"; import { + type AppendMessage, AssistantRuntimeProvider, type ThreadMessageLike, useExternalStoreRuntime, @@ -11,6 +12,7 @@ import { toast } from "sonner"; import { Thread } from "@/components/assistant-ui/thread"; import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; import { getBearerToken } from "@/lib/auth-utils"; +import { createAttachmentAdapter, extractAttachmentContent } from "@/lib/chat/attachment-adapter"; import { isPodcastGenerating, looksLikePodcastRequest, @@ -59,6 +61,9 @@ export default function NewChatPage() { const [isRunning, setIsRunning] = useState(false); const abortControllerRef = useRef(null); + // Create the attachment adapter for file processing + const attachmentAdapter = useMemo(() => createAttachmentAdapter(), []); + // Extract search_space_id from URL params const searchSpaceId = useMemo(() => { const id = params.search_space_id; @@ -99,7 +104,10 @@ export default function NewChatPage() { } } catch (error) { console.error("[NewChatPage] Failed to initialize thread:", error); - setThreadId(Date.now()); + // Keep threadId as null - don't use Date.now() as it creates an invalid ID + // that will cause 404 errors on subsequent API calls + setThreadId(null); + toast.error("Failed to initialize chat. Please try again."); } finally { setIsInitializing(false); } @@ -121,18 +129,27 @@ export default function NewChatPage() { // Handle new message from user const onNew = useCallback( - async (message: ThreadMessageLike) => { + async (message: AppendMessage) => { if (!threadId) return; - // Extract user query text + // Extract user query text from content parts let userQuery = ""; for (const part of message.content) { - if (typeof part === "object" && part.type === "text" && "text" in part) { + if (part.type === "text") { userQuery += part.text; } } - if (!userQuery.trim()) return; + // Extract attachments from message + // AppendMessage.attachments contains the processed attachment objects (from adapter.send()) + const messageAttachments: Array> = []; + if (message.attachments && message.attachments.length > 0) { + for (const att of message.attachments) { + messageAttachments.push(att as unknown as Record); + } + } + + if (!userQuery.trim() && messageAttachments.length === 0) return; // Check if podcast is already generating if (isPodcastGenerating() && looksLikePodcastRequest(userQuery)) { @@ -239,6 +256,9 @@ export default function NewChatPage() { }) .filter((m) => m.content.length > 0); + // Extract attachment content to send with the request + const attachments = extractAttachmentContent(messageAttachments); + const response = await fetch(`${backendUrl}/api/v1/new_chat`, { method: "POST", headers: { @@ -250,6 +270,7 @@ export default function NewChatPage() { user_query: userQuery.trim(), search_space_id: searchSpaceId, messages: messageHistory, + attachments: attachments.length > 0 ? attachments : undefined, }), signal: controller.signal, }); @@ -405,13 +426,29 @@ export default function NewChatPage() { [] ); - // Create external store runtime + // Handle editing a message - removes messages after the edited one and sends as new + const onEdit = useCallback( + async (message: AppendMessage) => { + // Find the message being edited by looking at the parentId + // The parentId tells us which message's response we're editing + // For now, we'll just treat edits like new messages + // A more sophisticated implementation would truncate the history + await onNew(message); + }, + [onNew] + ); + + // Create external store runtime with attachment support const runtime = useExternalStoreRuntime({ messages, isRunning, onNew, + onEdit, convertMessage, onCancel: cancelRun, + adapters: { + attachments: attachmentAdapter, + }, }); // Show loading state @@ -423,6 +460,25 @@ export default function NewChatPage() { ); } + // Show error state if thread initialization failed + if (!threadId) { + return ( +
          +
          Failed to initialize chat
          + +
          + ); + } + return ( diff --git a/surfsense_web/app/dashboard/[search_space_id]/podcasts/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/podcasts/page.tsx deleted file mode 100644 index c8c724ee2..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/podcasts/page.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import { Suspense } from "react"; -import PodcastsPageClient from "./podcasts-client"; - -interface PageProps { - params: { - search_space_id: string; - }; -} - -export default async function PodcastsPage({ params }: PageProps) { - const { search_space_id: searchSpaceId } = await Promise.resolve(params); - - return ( - -
          -
          - } - > - - - ); -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/podcasts/podcasts-client.tsx b/surfsense_web/app/dashboard/[search_space_id]/podcasts/podcasts-client.tsx deleted file mode 100644 index 730defae8..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/podcasts/podcasts-client.tsx +++ /dev/null @@ -1,957 +0,0 @@ -"use client"; - -import { format } from "date-fns"; -import { useAtom, useAtomValue } from "jotai"; -import { - Calendar, - MoreHorizontal, - Pause, - Play, - Podcast as PodcastIcon, - Search, - SkipBack, - SkipForward, - Trash2, - Volume2, - VolumeX, - X, -} from "lucide-react"; -import { AnimatePresence, motion, type Variants } from "motion/react"; -import Image from "next/image"; -import { useEffect, useRef, useState } from "react"; -import { toast } from "sonner"; -import { deletePodcastMutationAtom } from "@/atoms/podcasts/podcast-mutation.atoms"; -import { podcastsAtom } from "@/atoms/podcasts/podcast-query.atoms"; -// UI Components -import { Button } from "@/components/ui/button"; -import { Card } from "@/components/ui/card"; -import { - Dialog, - DialogContent, - DialogDescription, - DialogFooter, - DialogHeader, - DialogTitle, -} from "@/components/ui/dialog"; -import { - DropdownMenu, - DropdownMenuContent, - DropdownMenuItem, - DropdownMenuTrigger, -} from "@/components/ui/dropdown-menu"; -import { Input } from "@/components/ui/input"; -import { - Select, - SelectContent, - SelectGroup, - SelectItem, - SelectTrigger, - SelectValue, -} from "@/components/ui/select"; -import { Slider } from "@/components/ui/slider"; -import type { Podcast } from "@/contracts/types/podcast.types"; -import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; - -interface PodcastsPageClientProps { - searchSpaceId: string; -} - -const pageVariants: Variants = { - initial: { opacity: 0 }, - enter: { - opacity: 1, - transition: { duration: 0.4, ease: "easeInOut", staggerChildren: 0.1 }, - }, - exit: { opacity: 0, transition: { duration: 0.3, ease: "easeInOut" } }, -}; - -const podcastCardVariants: Variants = { - initial: { scale: 0.95, y: 20, opacity: 0 }, - animate: { - scale: 1, - y: 0, - opacity: 1, - transition: { type: "spring", stiffness: 300, damping: 25 }, - }, - exit: { scale: 0.95, y: -20, opacity: 0 }, - hover: { y: -5, scale: 1.02, transition: { duration: 0.2 } }, -}; - -const MotionCard = motion(Card); - -export default function PodcastsPageClient({ searchSpaceId }: PodcastsPageClientProps) { - const [filteredPodcasts, setFilteredPodcasts] = useState([]); - const [searchQuery, setSearchQuery] = useState(""); - const [sortOrder, setSortOrder] = useState("newest"); - const [deleteDialogOpen, setDeleteDialogOpen] = useState(false); - const [podcastToDelete, setPodcastToDelete] = useState<{ - id: number; - title: string; - } | null>(null); - - // Audio player state - const [currentPodcast, setCurrentPodcast] = useState(null); - const [audioSrc, setAudioSrc] = useState(undefined); - const [isAudioLoading, setIsAudioLoading] = useState(false); - const [isPlaying, setIsPlaying] = useState(false); - const [currentTime, setCurrentTime] = useState(0); - const [duration, setDuration] = useState(0); - const [volume, setVolume] = useState(0.7); - const [isMuted, setIsMuted] = useState(false); - const audioRef = useRef(null); - const currentObjectUrlRef = useRef(null); - const [{ isPending: isDeletingPodcast, mutateAsync: deletePodcast, error: deleteError }] = - useAtom(deletePodcastMutationAtom); - const { - data: podcasts, - isLoading: isFetchingPodcasts, - error: fetchError, - } = useAtomValue(podcastsAtom); - - // Add podcast image URL constant - const PODCAST_IMAGE_URL = - "https://static.vecteezy.com/system/resources/thumbnails/002/157/611/small_2x/illustrations-concept-design-podcast-channel-free-vector.jpg"; - - useEffect(() => { - if (isFetchingPodcasts) return; - - if (fetchError) { - console.error("Error fetching podcasts:", fetchError); - setFilteredPodcasts([]); - return; - } - - if (!podcasts) { - setFilteredPodcasts([]); - return; - } - - setFilteredPodcasts(podcasts); - }, []); - - // Filter and sort podcasts based on search query and sort order - useEffect(() => { - if (!podcasts) return; - - let result = [...podcasts]; - - // Filter by search term - if (searchQuery) { - const query = searchQuery.toLowerCase(); - result = result.filter((podcast) => podcast.title.toLowerCase().includes(query)); - } - - // Filter by search space - result = result.filter((podcast) => podcast.search_space_id === parseInt(searchSpaceId)); - - // Sort podcasts - result.sort((a, b) => { - const dateA = new Date(a.created_at).getTime(); - const dateB = new Date(b.created_at).getTime(); - - return sortOrder === "newest" ? dateB - dateA : dateA - dateB; - }); - - setFilteredPodcasts(result); - }, [podcasts, searchQuery, sortOrder, searchSpaceId]); - - // Cleanup object URL on unmount or when currentPodcast changes - useEffect(() => { - return () => { - if (currentObjectUrlRef.current) { - URL.revokeObjectURL(currentObjectUrlRef.current); - currentObjectUrlRef.current = null; - } - }; - }, []); - - // Audio player time update handler - const handleTimeUpdate = () => { - if (audioRef.current) { - setCurrentTime(audioRef.current.currentTime); - } - }; - - // Audio player metadata loaded handler - const handleMetadataLoaded = () => { - if (audioRef.current) { - setDuration(audioRef.current.duration); - } - }; - - // Play/pause toggle - const togglePlayPause = () => { - if (audioRef.current) { - if (isPlaying) { - audioRef.current.pause(); - } else { - audioRef.current.play(); - } - setIsPlaying(!isPlaying); - } - }; - - // To close player - const closePlayer = () => { - if (isPlaying) { - audioRef.current?.pause(); - } - setIsPlaying(false); - setAudioSrc(undefined); - setCurrentTime(0); - setCurrentPodcast(null); - }; - - // Seek to position - const handleSeek = (value: number[]) => { - if (audioRef.current) { - audioRef.current.currentTime = value[0]; - setCurrentTime(value[0]); - } - }; - - // Volume change - const handleVolumeChange = (value: number[]) => { - if (audioRef.current) { - const newVolume = value[0]; - - // Set volume - audioRef.current.volume = newVolume; - setVolume(newVolume); - - // Handle mute state based on volume - if (newVolume === 0) { - audioRef.current.muted = true; - setIsMuted(true); - } else { - audioRef.current.muted = false; - setIsMuted(false); - } - } - }; - - // Toggle mute - const toggleMute = () => { - if (audioRef.current) { - const newMutedState = !isMuted; - audioRef.current.muted = newMutedState; - setIsMuted(newMutedState); - - // If unmuting, restore previous volume if it was 0 - if (!newMutedState && volume === 0) { - const restoredVolume = 0.5; - audioRef.current.volume = restoredVolume; - setVolume(restoredVolume); - } - } - }; - - // Skip forward 10 seconds - const skipForward = () => { - if (audioRef.current) { - audioRef.current.currentTime = Math.min( - audioRef.current.duration, - audioRef.current.currentTime + 10 - ); - } - }; - - // Skip backward 10 seconds - const skipBackward = () => { - if (audioRef.current) { - audioRef.current.currentTime = Math.max(0, audioRef.current.currentTime - 10); - } - }; - - // Format time in MM:SS - const formatTime = (time: number) => { - const minutes = Math.floor(time / 60); - const seconds = Math.floor(time % 60); - return `${minutes}:${seconds < 10 ? "0" : ""}${seconds}`; - }; - - // Play podcast - Fetch blob and set object URL - const playPodcast = async (podcast: Podcast) => { - // If the same podcast is selected, just toggle play/pause - if (currentPodcast && currentPodcast.id === podcast.id) { - togglePlayPause(); - return; - } - - // Prevent multiple simultaneous loading requests - if (isAudioLoading) { - return; - } - - try { - // Reset player state and show loading - setCurrentPodcast(podcast); - setAudioSrc(undefined); - setCurrentTime(0); - setDuration(0); - setIsPlaying(false); - setIsAudioLoading(true); - - // Revoke previous object URL if exists (only after we've started the new request) - if (currentObjectUrlRef.current) { - URL.revokeObjectURL(currentObjectUrlRef.current); - currentObjectUrlRef.current = null; - } - - // Use AbortController to handle timeout or cancellation - const controller = new AbortController(); - const timeoutId = setTimeout(() => controller.abort(), 30000); // 30 second timeout - - try { - const response = await podcastsApiService.loadPodcast({ - request: { id: podcast.id }, - controller, - }); - const objectUrl = URL.createObjectURL(response); - currentObjectUrlRef.current = objectUrl; - - // Set audio source - setAudioSrc(objectUrl); - - // Wait for the audio to be ready before playing - // We'll handle actual playback in the onLoadedData event instead of here - } catch (error) { - if (error instanceof DOMException && error.name === "AbortError") { - throw new Error("Request timed out. Please try again."); - } - throw error; - } finally { - clearTimeout(timeoutId); - } - } catch (error) { - console.error("Error fetching or playing podcast:", error); - toast.error(error instanceof Error ? error.message : "Failed to load podcast audio."); - // Reset state on error - setCurrentPodcast(null); - setAudioSrc(undefined); - } finally { - setIsAudioLoading(false); - } - }; - - // Function to handle podcast deletion - const handleDeletePodcast = async () => { - if (!podcastToDelete) return; - - try { - await deletePodcast({ id: podcastToDelete.id }); - - // Close dialog - setDeleteDialogOpen(false); - setPodcastToDelete(null); - - // If the current playing podcast is deleted, stop playback - if (currentPodcast && currentPodcast.id === podcastToDelete.id) { - if (audioRef.current) { - audioRef.current.pause(); - } - setCurrentPodcast(null); - setIsPlaying(false); - } - } catch (error) { - console.error("Error deleting podcast:", error); - toast.error(error instanceof Error ? error.message : "Failed to delete podcast"); - } - }; - - return ( - -
          -
          -

          Podcasts

          -

          Listen to generated podcasts.

          -
          - - {/* Filter and Search Bar */} -
          -
          -
          - - setSearchQuery(e.target.value)} - /> -
          -
          - -
          - -
          -
          - - {/* Status Messages */} - {isFetchingPodcasts && ( -
          -
          -
          -

          Loading podcasts...

          -
          -
          - )} - - {fetchError && !isFetchingPodcasts && ( -
          -

          Error loading podcasts

          -

          {fetchError.message ?? "Failed to load podcasts"}

          -
          - )} - - {!isFetchingPodcasts && !fetchError && filteredPodcasts.length === 0 && ( -
          - -

          No podcasts found

          -

          - {searchQuery - ? "Try adjusting your search filters" - : "Generate podcasts from your chats to get started"} -

          -
          - )} - - {/* Podcast Grid */} - {!isFetchingPodcasts && !fetchError && filteredPodcasts.length > 0 && ( - - - {filteredPodcasts.map((podcast, index) => ( - playPodcast(podcast)} - > -
          - {/* Podcast image with gradient overlay */} - Podcast illustration - - {/* Better overlay with gradient for improved text legibility */} -
          - - {/* Loading indicator with improved animation */} - {currentPodcast?.id === podcast.id && isAudioLoading && ( - - -
          -

          Loading podcast...

          -           -           - )} - - {/* Play button with animations */} - {!(currentPodcast?.id === podcast.id && (isPlaying || isAudioLoading)) && ( - - - - )} - - {/* Pause button with animations */} - {currentPodcast?.id === podcast.id && isPlaying && !isAudioLoading && ( - - - - )} - - {/* Now playing indicator */} - {currentPodcast?.id === podcast.id && !isAudioLoading && ( -
          - - - - - Now Playing -
          - )} -
          - -
          -

          - {podcast.title || "Untitled Podcast"} -

          -

          - - {format(new Date(podcast.created_at), "MMM d, yyyy")} -

          -
          - - {currentPodcast?.id === podcast.id && !isAudioLoading && ( - - -
          - {formatTime(currentTime)} - {formatTime(duration)} -
          -           - )} - - {currentPodcast?.id === podcast.id && !isAudioLoading && ( - - - - - - - - - - - - )} - -
          - - - - - - { - e.stopPropagation(); - setPodcastToDelete({ - id: podcast.id, - title: podcast.title, - }); - setDeleteDialogOpen(true); - }} - > - - Delete Podcast - - - -
          -           - ))} -           -           - )} - - {/* Current Podcast Player (Fixed at bottom) */} - {currentPodcast && !isAudioLoading && audioSrc && ( - -
          -
          -
          - - - -
          - -
          -

          {currentPodcast.title}

          - -
          -
          - - -
          -
          - {formatTime(currentTime)} / {formatTime(duration)} -
          -
          -
          - -
          - - - - - - - - - - - - -
          - - - - -
          - - -
          -
          - - - - -
          -
          -
          -           - )} -
          - - {/* Delete Confirmation Dialog */} - - - - - - Delete Podcast - - - Are you sure you want to delete{" "} - {podcastToDelete?.title}? This action cannot be - undone. - - - - - - - - - - {/* Hidden audio element for playback */} - -           - ); -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/researcher/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/researcher/[[...chat_id]]/page.tsx deleted file mode 100644 index 60980f034..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/researcher/[[...chat_id]]/page.tsx +++ /dev/null @@ -1,291 +0,0 @@ -"use client"; - -import { type CreateMessage, type Message, useChat } from "@ai-sdk/react"; -import { useAtom, useAtomValue } from "jotai"; -import { useParams, useRouter } from "next/navigation"; -import { useEffect, useMemo, useRef } from "react"; -import { createChatMutationAtom, updateChatMutationAtom } from "@/atoms/chats/chat-mutation.atoms"; -import { activeChatAtom } from "@/atoms/chats/chat-query.atoms"; -import { activeChatIdAtom } from "@/atoms/chats/ui.atoms"; -import { documentTypeCountsAtom } from "@/atoms/documents/document-query.atoms"; -import ChatInterface from "@/components/chat/ChatInterface"; -import type { Document } from "@/contracts/types/document.types"; -import { useChatState } from "@/hooks/use-chat"; -import { useSearchSourceConnectors } from "@/hooks/use-search-source-connectors"; - -export default function ResearcherPage() { - const { search_space_id } = useParams(); - const router = useRouter(); - const hasSetInitialConnectors = useRef(false); - const hasInitiatedResponse = useRef(null); - const activeChatId = useAtomValue(activeChatIdAtom); - const { data: activeChatState, isFetching: isChatLoading } = useAtomValue(activeChatAtom); - const { mutateAsync: createChat } = useAtomValue(createChatMutationAtom); - const { mutateAsync: updateChat } = useAtomValue(updateChatMutationAtom); - const isNewChat = !activeChatId; - - // Reset the flag when chat ID changes (but not hasInitiatedResponse - we need to remember if we already initiated) - useEffect(() => { - hasSetInitialConnectors.current = false; - }, [activeChatId]); - - const { - token, - researchMode, - selectedConnectors, - setSelectedConnectors, - selectedDocuments, - setSelectedDocuments, - topK, - setTopK, - } = useChatState({ - search_space_id: search_space_id as string, - chat_id: activeChatId ?? undefined, - }); - - // Fetch all available sources (document types + live search connectors) - // Use the documentTypeCountsAtom for fetching document types - const [documentTypeCountsQuery] = useAtom(documentTypeCountsAtom); - const { data: documentTypeCountsData } = documentTypeCountsQuery; - - // Transform the response into the expected format - const documentTypes = useMemo(() => { - if (!documentTypeCountsData) return []; - return Object.entries(documentTypeCountsData).map(([type, count]) => ({ - type, - count, - })); - }, [documentTypeCountsData]); - - const { connectors: searchConnectors } = useSearchSourceConnectors( - false, - Number(search_space_id) - ); - - // Filter for non-indexable connectors (live search) - const liveSearchConnectors = useMemo( - () => searchConnectors.filter((connector) => !connector.is_indexable), - [searchConnectors] - ); - - // Memoize document IDs to prevent infinite re-renders - const documentIds = useMemo(() => { - return selectedDocuments.map((doc) => doc.id); - }, [selectedDocuments]); - - // Memoize connector types to prevent infinite re-renders - const connectorTypes = useMemo(() => { - return selectedConnectors; - }, [selectedConnectors]); - - // Unified localStorage management for chat state - interface ChatState { - selectedDocuments: Document[]; - selectedConnectors: string[]; - researchMode: "QNA"; // Always QNA mode - topK: number; - } - - const getChatStateStorageKey = (searchSpaceId: string, chatId: string) => - `surfsense_chat_state_${searchSpaceId}_${chatId}`; - - const storeChatState = (searchSpaceId: string, chatId: string, state: ChatState) => { - const key = getChatStateStorageKey(searchSpaceId, chatId); - localStorage.setItem(key, JSON.stringify(state)); - }; - - const restoreChatState = (searchSpaceId: string, chatId: string): ChatState | null => { - const key = getChatStateStorageKey(searchSpaceId, chatId); - const stored = localStorage.getItem(key); - if (stored) { - localStorage.removeItem(key); // Clean up after restoration - try { - return JSON.parse(stored); - } catch (error) { - console.error("Error parsing stored chat state:", error); - return null; - } - } - return null; - }; - - const handler = useChat({ - api: `${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/chat`, - streamProtocol: "data", - initialMessages: [], - headers: { - ...(token && { Authorization: `Bearer ${token}` }), - }, - body: { - data: { - search_space_id: search_space_id, - selected_connectors: connectorTypes, - research_mode: researchMode, - document_ids_to_add_in_context: documentIds, - top_k: topK, - }, - }, - onError: (error) => { - console.error("Chat error:", error); - }, - }); - - const customHandlerAppend = async ( - message: Message | CreateMessage, - chatRequestOptions?: { data?: any } - ) => { - // Use the first message content as the chat title (truncated to 100 chars) - const messageContent = typeof message.content === "string" ? message.content : ""; - const chatTitle = messageContent.slice(0, 100) || "Untitled Chat"; - - const newChat = await createChat({ - type: researchMode, - title: chatTitle, - initial_connectors: selectedConnectors, - messages: [ - { - role: "user", - content: message.content, - }, - ], - search_space_id: Number(search_space_id), - }); - if (newChat) { - // Store chat state before navigation - storeChatState(search_space_id as string, String(newChat.id), { - selectedDocuments, - selectedConnectors, - researchMode, - topK, - }); - router.replace(`/dashboard/${search_space_id}/researcher/${newChat.id}`); - } - return String(newChat.id); - }; - - useEffect(() => { - if (token && !isNewChat && activeChatId) { - const chatData = activeChatState?.chatDetails; - if (!chatData) return; - - // Update configuration from chat data - // researchMode is always "QNA", no need to set from chat data - - if (chatData.initial_connectors && Array.isArray(chatData.initial_connectors)) { - setSelectedConnectors(chatData.initial_connectors); - } - - // Load existing messages - if (chatData.messages && Array.isArray(chatData.messages)) { - if (chatData.messages.length === 1 && chatData.messages[0].role === "user") { - // Single user message - append to trigger LLM response - // Only if we haven't already initiated for this chat and handler doesn't have messages yet - if (hasInitiatedResponse.current !== activeChatId && handler.messages.length === 0) { - hasInitiatedResponse.current = activeChatId; - handler.append({ - role: "user", - content: chatData.messages[0].content, - }); - } - } else if (chatData.messages.length > 1) { - // Multiple messages - set them all - handler.setMessages(chatData.messages); - } - } - } - }, [token, isNewChat, activeChatId, isChatLoading]); - - // Restore chat state from localStorage on page load - useEffect(() => { - if (activeChatId && search_space_id) { - const restoredState = restoreChatState(search_space_id as string, activeChatId); - if (restoredState) { - setSelectedDocuments(restoredState.selectedDocuments); - setSelectedConnectors(restoredState.selectedConnectors); - setTopK(restoredState.topK); - // researchMode is always "QNA", no need to restore - } - } - }, [ - activeChatId, - isChatLoading, - search_space_id, - setSelectedDocuments, - setSelectedConnectors, - setTopK, - ]); - - // Set all sources as default for new chats (only once on initial mount) - useEffect(() => { - if ( - isNewChat && - !hasSetInitialConnectors.current && - selectedConnectors.length === 0 && - documentTypes.length > 0 - ) { - // Combine all document types and live search connectors - const allSourceTypes = [ - ...documentTypes.map((dt) => dt.type), - ...liveSearchConnectors.map((c) => c.connector_type), - ]; - - if (allSourceTypes.length > 0) { - setSelectedConnectors(allSourceTypes); - hasSetInitialConnectors.current = true; - } - } - }, [ - isNewChat, - documentTypes, - liveSearchConnectors, - selectedConnectors.length, - setSelectedConnectors, - ]); - - // Auto-update chat when messages change (only for existing chats) - useEffect(() => { - if ( - !isNewChat && - activeChatId && - handler.status === "ready" && - handler.messages.length > 0 && - handler.messages[handler.messages.length - 1]?.role === "assistant" - ) { - const userMessages = handler.messages.filter((msg) => msg.role === "user"); - if (userMessages.length === 0) return; - const title = userMessages[0].content; - - updateChat({ - type: researchMode, - title: title, - initial_connectors: selectedConnectors, - messages: handler.messages, - search_space_id: Number(search_space_id), - id: Number(activeChatId), - }); - } - }, [handler.messages, handler.status, activeChatId, isNewChat, isChatLoading]); - - if (isChatLoading) { - return ( -
          -
          Loading...
          -
          - ); - } - - return ( - - ); -} diff --git a/surfsense_web/app/dashboard/page.tsx b/surfsense_web/app/dashboard/page.tsx index dbf5b7155..f133d0c9c 100644 --- a/surfsense_web/app/dashboard/page.tsx +++ b/surfsense_web/app/dashboard/page.tsx @@ -244,7 +244,7 @@ const DashboardPage = () => { />
          - + {space.name} {
          diff --git a/surfsense_web/atoms/chats/chat-mutation.atoms.ts b/surfsense_web/atoms/chats/chat-mutation.atoms.ts deleted file mode 100644 index c761a706f..000000000 --- a/surfsense_web/atoms/chats/chat-mutation.atoms.ts +++ /dev/null @@ -1,93 +0,0 @@ -import { atomWithMutation } from "jotai-tanstack-query"; -import { toast } from "sonner"; -import type { - ChatSummary, - CreateChatRequest, - DeleteChatRequest, - UpdateChatRequest, -} from "@/contracts/types/chat.types"; -import { chatsApiService } from "@/lib/apis/chats-api.service"; -import { getBearerToken } from "@/lib/auth-utils"; -import { cacheKeys } from "@/lib/query-client/cache-keys"; -import { queryClient } from "@/lib/query-client/client"; -import { activeSearchSpaceIdAtom } from "../search-spaces/search-space-query.atoms"; -import { globalChatsQueryParamsAtom } from "./ui.atoms"; - -export const deleteChatMutationAtom = atomWithMutation((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - const authToken = getBearerToken(); - const chatsQueryParams = get(globalChatsQueryParamsAtom); - - return { - mutationKey: cacheKeys.chats.globalQueryParams(chatsQueryParams), - enabled: !!searchSpaceId && !!authToken, - mutationFn: async (request: DeleteChatRequest) => { - return chatsApiService.deleteChat(request); - }, - - onSuccess: (_, request: DeleteChatRequest) => { - toast.success("Chat deleted successfully"); - // Optimistically update the current query - queryClient.setQueryData( - cacheKeys.chats.globalQueryParams(chatsQueryParams), - (oldData: ChatSummary[]) => { - return oldData?.filter((chat) => chat.id !== request.id) ?? []; - } - ); - // Invalidate all chat queries to ensure consistency across components - queryClient.invalidateQueries({ - queryKey: ["chats"], - }); - // Also invalidate the "all-chats" query used by AllChatsSidebar - queryClient.invalidateQueries({ - queryKey: ["all-chats"], - }); - }, - }; -}); - -export const createChatMutationAtom = atomWithMutation((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - const authToken = getBearerToken(); - const chatsQueryParams = get(globalChatsQueryParamsAtom); - - return { - mutationKey: cacheKeys.chats.globalQueryParams(chatsQueryParams), - enabled: !!searchSpaceId && !!authToken, - mutationFn: async (request: CreateChatRequest) => { - return chatsApiService.createChat(request); - }, - - onSuccess: () => { - // Invalidate ALL chat queries to ensure sidebar and other components refresh - // Using a partial key match to avoid stale closure issues with specific query params - queryClient.invalidateQueries({ - queryKey: ["chats"], - }); - // Also invalidate the "all-chats" query used by AllChatsSidebar - queryClient.invalidateQueries({ - queryKey: ["all-chats"], - }); - }, - }; -}); - -export const updateChatMutationAtom = atomWithMutation((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - const authToken = getBearerToken(); - const chatsQueryParams = get(globalChatsQueryParamsAtom); - - return { - mutationKey: cacheKeys.chats.globalQueryParams(chatsQueryParams), - enabled: !!searchSpaceId && !!authToken, - mutationFn: async (request: UpdateChatRequest) => { - return chatsApiService.updateChat(request); - }, - - onSuccess: () => { - queryClient.invalidateQueries({ - queryKey: cacheKeys.chats.globalQueryParams(chatsQueryParams), - }); - }, - }; -}); diff --git a/surfsense_web/atoms/chats/chat-query.atoms.ts b/surfsense_web/atoms/chats/chat-query.atoms.ts deleted file mode 100644 index 5a1242ded..000000000 --- a/surfsense_web/atoms/chats/chat-query.atoms.ts +++ /dev/null @@ -1,48 +0,0 @@ -import { atomWithQuery } from "jotai-tanstack-query"; -import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; -import { chatsApiService } from "@/lib/apis/chats-api.service"; -import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; -import { getBearerToken } from "@/lib/auth-utils"; -import { cacheKeys } from "@/lib/query-client/cache-keys"; -import { activeChatIdAtom, globalChatsQueryParamsAtom } from "./ui.atoms"; - -export const activeChatAtom = atomWithQuery((get) => { - const activeChatId = get(activeChatIdAtom); - const authToken = getBearerToken(); - - return { - queryKey: cacheKeys.chats.activeChat(activeChatId ?? ""), - enabled: !!activeChatId && !!authToken, - queryFn: async () => { - if (!authToken) { - throw new Error("No authentication token found"); - } - if (!activeChatId) { - throw new Error("No active chat id found"); - } - - const [podcast, chatDetails] = await Promise.all([ - podcastsApiService.getPodcastByChatId({ chat_id: Number(activeChatId) }), - chatsApiService.getChatDetails({ id: Number(activeChatId) }), - ]); - - return { chatId: activeChatId, chatDetails, podcast }; - }, - }; -}); - -export const chatsAtom = atomWithQuery((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - const authToken = getBearerToken(); - const queryParams = get(globalChatsQueryParamsAtom); - - return { - queryKey: cacheKeys.chats.globalQueryParams(queryParams), - enabled: !!searchSpaceId && !!authToken, - queryFn: async () => { - return chatsApiService.getChats({ - queryParams: queryParams, - }); - }, - }; -}); diff --git a/surfsense_web/atoms/chats/ui.atoms.ts b/surfsense_web/atoms/chats/ui.atoms.ts deleted file mode 100644 index c92365aef..000000000 --- a/surfsense_web/atoms/chats/ui.atoms.ts +++ /dev/null @@ -1,17 +0,0 @@ -import { atom } from "jotai"; -import type { GetChatsRequest } from "@/contracts/types/chat.types"; - -type ActiveChathatUIState = { - isChatPannelOpen: boolean; -}; - -export const activeChathatUIAtom = atom({ - isChatPannelOpen: false, -}); - -export const activeChatIdAtom = atom(null); - -export const globalChatsQueryParamsAtom = atom({ - limit: 5, - skip: 0, -}); diff --git a/surfsense_web/atoms/podcasts/podcast-mutation.atoms.ts b/surfsense_web/atoms/podcasts/podcast-mutation.atoms.ts deleted file mode 100644 index cdb28ceb2..000000000 --- a/surfsense_web/atoms/podcasts/podcast-mutation.atoms.ts +++ /dev/null @@ -1,51 +0,0 @@ -import { atomWithMutation } from "jotai-tanstack-query"; -import { toast } from "sonner"; -import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; -import type { - DeletePodcastRequest, - GeneratePodcastRequest, - Podcast, -} from "@/contracts/types/podcast.types"; -import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; -import { getBearerToken } from "@/lib/auth-utils"; -import { cacheKeys } from "@/lib/query-client/cache-keys"; -import { queryClient } from "@/lib/query-client/client"; -import { globalPodcastsQueryParamsAtom } from "./ui.atoms"; - -export const deletePodcastMutationAtom = atomWithMutation((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - const authToken = getBearerToken(); - const podcastsQueryParams = get(globalPodcastsQueryParamsAtom); - - return { - mutationKey: cacheKeys.podcasts.globalQueryParams(podcastsQueryParams), - enabled: !!searchSpaceId && !!authToken, - mutationFn: async (request: DeletePodcastRequest) => { - return podcastsApiService.deletePodcast(request); - }, - - onSuccess: (_, request: DeletePodcastRequest) => { - toast.success("Podcast deleted successfully"); - queryClient.setQueryData( - cacheKeys.podcasts.globalQueryParams(podcastsQueryParams), - (oldData: Podcast[]) => { - return oldData.filter((podcast) => podcast.id !== request.id); - } - ); - }, - }; -}); - -export const generatePodcastMutationAtom = atomWithMutation((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - const authToken = getBearerToken(); - const podcastsQueryParams = get(globalPodcastsQueryParamsAtom); - - return { - mutationKey: cacheKeys.podcasts.globalQueryParams(podcastsQueryParams), - enabled: !!searchSpaceId && !!authToken, - mutationFn: async (request: GeneratePodcastRequest) => { - return podcastsApiService.generatePodcast(request); - }, - }; -}); diff --git a/surfsense_web/atoms/podcasts/podcast-query.atoms.ts b/surfsense_web/atoms/podcasts/podcast-query.atoms.ts deleted file mode 100644 index ea5c1c104..000000000 --- a/surfsense_web/atoms/podcasts/podcast-query.atoms.ts +++ /dev/null @@ -1,17 +0,0 @@ -import { atomWithQuery } from "jotai-tanstack-query"; -import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; -import { cacheKeys } from "@/lib/query-client/cache-keys"; -import { globalPodcastsQueryParamsAtom } from "./ui.atoms"; - -export const podcastsAtom = atomWithQuery((get) => { - const queryParams = get(globalPodcastsQueryParamsAtom); - - return { - queryKey: cacheKeys.podcasts.globalQueryParams(queryParams), - queryFn: async () => { - return podcastsApiService.getPodcasts({ - queryParams: queryParams, - }); - }, - }; -}); diff --git a/surfsense_web/atoms/podcasts/ui.atoms.ts b/surfsense_web/atoms/podcasts/ui.atoms.ts deleted file mode 100644 index 0f2701375..000000000 --- a/surfsense_web/atoms/podcasts/ui.atoms.ts +++ /dev/null @@ -1,7 +0,0 @@ -import { atom } from "jotai"; -import type { GetPodcastsRequest } from "@/contracts/types/podcast.types"; - -export const globalPodcastsQueryParamsAtom = atom({ - limit: 5, - skip: 0, -}); diff --git a/surfsense_web/components/assistant-ui/attachment.tsx b/surfsense_web/components/assistant-ui/attachment.tsx index a51c13cb0..dfb63cbf3 100644 --- a/surfsense_web/components/assistant-ui/attachment.tsx +++ b/surfsense_web/components/assistant-ui/attachment.tsx @@ -7,7 +7,7 @@ import { useAssistantApi, useAssistantState, } from "@assistant-ui/react"; -import { FileText, PlusIcon, XIcon } from "lucide-react"; +import { FileText, Loader2, PlusIcon, XIcon } from "lucide-react"; import Image from "next/image"; import { type FC, type PropsWithChildren, useEffect, useState } from "react"; import { useShallow } from "zustand/shallow"; @@ -40,11 +40,15 @@ const useFileSrc = (file: File | undefined) => { const useAttachmentSrc = () => { const { file, src } = useAssistantState( useShallow(({ attachment }): { file?: File; src?: string } => { - if (attachment.type !== "image") return {}; + if (!attachment || attachment.type !== "image") return {}; if (attachment.file) return { file: attachment.file }; - const src = attachment.content?.filter((c) => c.type === "image")[0]?.image; - if (!src) return {}; - return { src }; + // Only try to filter if content is an array (standard assistant-ui format) + // Our custom ChatAttachment has content as a string, so skip this + if (Array.isArray(attachment.content)) { + const src = attachment.content.filter((c) => c.type === "image")[0]?.image; + if (src) return { src }; + } + return {}; }) ); @@ -98,9 +102,27 @@ const AttachmentPreviewDialog: FC = ({ children }) => { }; const AttachmentThumb: FC = () => { - const isImage = useAssistantState(({ attachment }) => attachment.type === "image"); + const isImage = useAssistantState(({ attachment }) => attachment?.type === "image"); + // Check if actively processing (running AND progress < 100) + // When progress is 100, processing is done but waiting for send() + const isProcessing = useAssistantState(({ attachment }) => { + const status = attachment?.status; + if (status?.type !== "running") return false; + // If progress is defined and equals 100, processing is complete + const progress = (status as { type: "running"; progress?: number }).progress; + return progress === undefined || progress < 100; + }); const src = useAttachmentSrc(); + // Show loading spinner only when actively processing (not when done and waiting for send) + if (isProcessing) { + return ( +
          + +
          + ); + } + return ( { const api = useAssistantApi(); const isComposer = api.attachment.source === "composer"; - const isImage = useAssistantState(({ attachment }) => attachment.type === "image"); + const isImage = useAssistantState(({ attachment }) => attachment?.type === "image"); + // Check if actively processing (running AND progress < 100) + // When progress is 100, processing is done but waiting for send() + const isProcessing = useAssistantState(({ attachment }) => { + const status = attachment?.status; + if (status?.type !== "running") return false; + const progress = (status as { type: "running"; progress?: number }).progress; + return progress === undefined || progress < 100; + }); const typeLabel = useAssistantState(({ attachment }) => { - const type = attachment.type; + const type = attachment?.type; switch (type) { case "image": return "Image"; @@ -129,10 +159,8 @@ const AttachmentUI: FC = () => { return "Document"; case "file": return "File"; - default: { - const _exhaustiveCheck: never = type; - throw new Error(`Unknown attachment type: ${_exhaustiveCheck}`); - } + default: + return "File"; // Default fallback for unknown types } }); @@ -149,20 +177,28 @@ const AttachmentUI: FC = () => {
          - {isComposer && } + {isComposer && !isProcessing && } - + {isProcessing ? ( + + + Processing... + + ) : ( + + )} ); diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index c2dab7b3c..a41d2e143 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -6,6 +6,7 @@ import { ErrorPrimitive, MessagePrimitive, ThreadPrimitive, + useAssistantState, } from "@assistant-ui/react"; import { ArrowDownIcon, @@ -15,6 +16,7 @@ import { ChevronRightIcon, CopyIcon, DownloadIcon, + Loader2, PencilIcon, RefreshCwIcon, SquareIcon, @@ -157,20 +159,43 @@ const Composer: FC = () => { }; const ComposerAction: FC = () => { + // Check if any attachments are still being processed (running AND progress < 100) + // When progress is 100, processing is done but waiting for send() + const hasProcessingAttachments = useAssistantState(({ composer }) => + composer.attachments?.some((att) => { + const status = att.status; + if (status?.type !== "running") return false; + const progress = (status as { type: "running"; progress?: number }).progress; + return progress === undefined || progress < 100; + }) + ); + return (
          + {/* Show processing indicator when attachments are being processed */} + {hasProcessingAttachments && ( +
          + + Processing... +
          + )} + !thread.isRunning}> - + diff --git a/surfsense_web/components/chat/AnimatedEmptyState.tsx b/surfsense_web/components/chat/AnimatedEmptyState.tsx deleted file mode 100644 index d04708aa5..000000000 --- a/surfsense_web/components/chat/AnimatedEmptyState.tsx +++ /dev/null @@ -1,151 +0,0 @@ -"use client"; - -import { useInView } from "motion/react"; -import { Manrope } from "next/font/google"; -import { useEffect, useMemo, useReducer, useRef } from "react"; -import { RoughNotation, RoughNotationGroup } from "react-rough-notation"; -import { useSidebar } from "@/components/ui/sidebar"; -import { cn } from "@/lib/utils"; - -// Font configuration - could be moved to a global font config file -const manrope = Manrope({ - subsets: ["latin"], - weight: ["400", "700"], - display: "swap", // Optimize font loading - variable: "--font-manrope", -}); - -// Constants for timing - makes it easier to adjust and more maintainable -const TIMING = { - SIDEBAR_TRANSITION: 300, // Wait for sidebar transition + buffer - LAYOUT_SETTLE: 100, // Small delay to ensure layout is fully settled -} as const; - -// Animation configuration -const ANIMATION_CONFIG = { - HIGHLIGHT: { - type: "highlight" as const, - animationDuration: 2000, - iterations: 3, - color: "#3b82f680", - multiline: true, - }, - UNDERLINE: { - type: "underline" as const, - animationDuration: 2000, - iterations: 3, - color: "#10b981", - }, -} as const; - -// State management with useReducer for better organization -interface HighlightState { - shouldShowHighlight: boolean; - layoutStable: boolean; -} - -type HighlightAction = - | { type: "SIDEBAR_CHANGED" } - | { type: "LAYOUT_STABILIZED" } - | { type: "SHOW_HIGHLIGHT" } - | { type: "HIDE_HIGHLIGHT" }; - -const highlightReducer = (state: HighlightState, action: HighlightAction): HighlightState => { - switch (action.type) { - case "SIDEBAR_CHANGED": - return { - shouldShowHighlight: false, - layoutStable: false, - }; - case "LAYOUT_STABILIZED": - return { - ...state, - layoutStable: true, - }; - case "SHOW_HIGHLIGHT": - return { - ...state, - shouldShowHighlight: true, - }; - case "HIDE_HIGHLIGHT": - return { - ...state, - shouldShowHighlight: false, - }; - default: - return state; - } -}; - -const initialState: HighlightState = { - shouldShowHighlight: false, - layoutStable: true, -}; - -export function AnimatedEmptyState() { - const ref = useRef(null); - const isInView = useInView(ref); - const [{ shouldShowHighlight, layoutStable }, dispatch] = useReducer( - highlightReducer, - initialState - ); - - // Memoize class names to prevent unnecessary recalculations - const headingClassName = useMemo( - () => - cn( - "text-3xl sm:text-4xl md:text-5xl lg:text-6xl font-bold tracking-tight text-neutral-900 dark:text-neutral-50 mb-6", - manrope.className - ), - [] - ); - - const paragraphClassName = useMemo( - () => "text-lg sm:text-xl text-neutral-600 dark:text-neutral-300 mb-8 max-w-2xl mx-auto", - [] - ); - - // Handle sidebar state changes - useEffect(() => { - dispatch({ type: "SIDEBAR_CHANGED" }); - - const stabilizeTimer = setTimeout(() => { - dispatch({ type: "LAYOUT_STABILIZED" }); - }, TIMING.SIDEBAR_TRANSITION); - - return () => clearTimeout(stabilizeTimer); - }, []); - - // Handle highlight visibility based on layout stability and viewport visibility - useEffect(() => { - if (!layoutStable || !isInView) { - dispatch({ type: "HIDE_HIGHLIGHT" }); - return; - } - - const showTimer = setTimeout(() => { - dispatch({ type: "SHOW_HIGHLIGHT" }); - }, TIMING.LAYOUT_SETTLE); - - return () => clearTimeout(showTimer); - }, [layoutStable, isInView]); - - return ( -
          -
          - -

          - - SurfSense - -

          - -

          - Let's Start Surfing{" "} - through your knowledge base. -

          -           -
          -
          - ); -} diff --git a/surfsense_web/components/chat/ChatCitation.tsx b/surfsense_web/components/chat/ChatCitation.tsx deleted file mode 100644 index d8c681781..000000000 --- a/surfsense_web/components/chat/ChatCitation.tsx +++ /dev/null @@ -1,30 +0,0 @@ -"use client"; - -import type React from "react"; -import { useState } from "react"; -import { SheetTrigger } from "@/components/ui/sheet"; -import { SourceDetailSheet } from "./SourceDetailSheet"; - -export const CitationDisplay: React.FC<{ index: number; node: any }> = ({ index, node }) => { - const chunkId = Number(node?.id); - const sourceType = node?.metadata?.source_type; - const [isOpen, setIsOpen] = useState(false); - - return ( - - - - {index + 1} - - - - ); -}; diff --git a/surfsense_web/components/chat/ChatFurtherQuestions.tsx b/surfsense_web/components/chat/ChatFurtherQuestions.tsx deleted file mode 100644 index fbdc9edab..000000000 --- a/surfsense_web/components/chat/ChatFurtherQuestions.tsx +++ /dev/null @@ -1,36 +0,0 @@ -"use client"; - -import { getAnnotationData, type Message, useChatUI } from "@llamaindex/chat-ui"; -import { SuggestedQuestions } from "@llamaindex/chat-ui/widgets"; -import { - Accordion, - AccordionContent, - AccordionItem, - AccordionTrigger, -} from "@/components/ui/accordion"; - -export const ChatFurtherQuestions: React.FC<{ message: Message }> = ({ message }) => { - const annotations: string[][] = getAnnotationData(message, "FURTHER_QUESTIONS"); - const { append, requestData } = useChatUI(); - - if (annotations.length !== 1 || annotations[0].length === 0) { - return null; - } - - return ( - - - - Further Suggested Questions - - - - - - - ); -}; diff --git a/surfsense_web/components/chat/ChatInputGroup.tsx b/surfsense_web/components/chat/ChatInputGroup.tsx deleted file mode 100644 index 080bd65d4..000000000 --- a/surfsense_web/components/chat/ChatInputGroup.tsx +++ /dev/null @@ -1,851 +0,0 @@ -"use client"; - -import { ChatInput } from "@llamaindex/chat-ui"; -import { useAtom, useAtomValue } from "jotai"; -import { Brain, Check, FolderOpen, Minus, Plus, PlusCircle, Zap } from "lucide-react"; -import { useParams, useRouter } from "next/navigation"; -import React, { Suspense, useCallback, useMemo, useState } from "react"; -import { documentTypeCountsAtom } from "@/atoms/documents/document-query.atoms"; -import { updateLLMPreferencesMutationAtom } from "@/atoms/llm-config/llm-config-mutation.atoms"; -import { - globalLLMConfigsAtom, - llmConfigsAtom, - llmPreferencesAtom, -} from "@/atoms/llm-config/llm-config-query.atoms"; -import { DocumentsDataTable } from "@/components/chat/DocumentsDataTable"; -import { Badge } from "@/components/ui/badge"; -import { Button } from "@/components/ui/button"; -import { - Dialog, - DialogContent, - DialogDescription, - DialogFooter, - DialogTitle, - DialogTrigger, -} from "@/components/ui/dialog"; -import { Input } from "@/components/ui/input"; -import { - Select, - SelectContent, - SelectItem, - SelectTrigger, - SelectValue, -} from "@/components/ui/select"; -import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from "@/components/ui/tooltip"; -import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; -import type { Document } from "@/contracts/types/document.types"; -import { useSearchSourceConnectors } from "@/hooks/use-search-source-connectors"; - -const DocumentSelector = React.memo( - ({ - onSelectionChange, - selectedDocuments = [], - }: { - onSelectionChange?: (documents: Document[]) => void; - selectedDocuments?: Document[]; - }) => { - const { search_space_id } = useParams(); - const [isOpen, setIsOpen] = useState(false); - - const handleOpenChange = useCallback((open: boolean) => { - setIsOpen(open); - }, []); - - const handleSelectionChange = useCallback( - (documents: Document[]) => { - onSelectionChange?.(documents); - }, - [onSelectionChange] - ); - - const handleDone = useCallback(() => { - setIsOpen(false); - }, []); - - const selectedCount = React.useMemo(() => selectedDocuments.length, [selectedDocuments.length]); - - return ( - - - - - - -
          -
          - - Select Documents - - - Choose specific documents to include in your research context - -
          - -
          - -
          -
          -           -           - ); - } -); - -DocumentSelector.displayName = "DocumentSelector"; - -const ConnectorSelector = React.memo( - ({ - onSelectionChange, - selectedConnectors = [], - }: { - onSelectionChange?: (connectorTypes: string[]) => void; - selectedConnectors?: string[]; - }) => { - const { search_space_id } = useParams(); - const router = useRouter(); - const [isOpen, setIsOpen] = useState(false); - - // Use the documentTypeCountsAtom for fetching document types - const [documentTypeCountsQuery] = useAtom(documentTypeCountsAtom); - const { - data: documentTypeCountsData, - isLoading, - refetch: fetchDocumentTypes, - } = documentTypeCountsQuery; - - // Transform the response into the expected format - const documentTypes = useMemo(() => { - if (!documentTypeCountsData) return []; - return Object.entries(documentTypeCountsData).map(([type, count]) => ({ - type, - count, - })); - }, [documentTypeCountsData]); - - const isLoaded = !!documentTypeCountsData; - - // Fetch live search connectors immediately (non-indexable) - const { - connectors: searchConnectors, - isLoading: connectorsLoading, - isLoaded: connectorsLoaded, - fetchConnectors, - } = useSearchSourceConnectors(false, Number(search_space_id)); - - // Filter for non-indexable connectors (live search) - const liveSearchConnectors = React.useMemo( - () => searchConnectors.filter((connector) => !connector.is_indexable), - [searchConnectors] - ); - - const handleOpenChange = useCallback((open: boolean) => { - setIsOpen(open); - // Data is already loaded on mount, no need to fetch again - }, []); - - const handleConnectorToggle = useCallback( - (connectorType: string) => { - const isSelected = selectedConnectors.includes(connectorType); - const newSelection = isSelected - ? selectedConnectors.filter((type) => type !== connectorType) - : [...selectedConnectors, connectorType]; - onSelectionChange?.(newSelection); - }, - [selectedConnectors, onSelectionChange] - ); - - const handleSelectAll = useCallback(() => { - const allTypes = [ - ...documentTypes.map((dt) => dt.type), - ...liveSearchConnectors.map((c) => c.connector_type), - ]; - onSelectionChange?.(allTypes); - }, [documentTypes, liveSearchConnectors, onSelectionChange]); - - const handleClearAll = useCallback(() => { - onSelectionChange?.([]); - }, [onSelectionChange]); - - // Get display name for connector type - const getDisplayName = (type: string) => { - return type - .split("_") - .map((word) => word.charAt(0) + word.slice(1).toLowerCase()) - .join(" "); - }; - - // Get selected document types with their counts - const selectedDocTypes = documentTypes.filter((dt) => selectedConnectors.includes(dt.type)); - const selectedLiveConnectors = liveSearchConnectors.filter((c) => - selectedConnectors.includes(c.connector_type) - ); - - // Total selected count - const totalSelectedCount = selectedDocTypes.length + selectedLiveConnectors.length; - const totalAvailableCount = documentTypes.length + liveSearchConnectors.length; - - return ( - - - - - - -
          -
          - Select Sources - - Choose indexed document types and live search connectors to include in your search - -
          - - {isLoading || connectorsLoading ? ( -
          -
          -
          - ) : totalAvailableCount === 0 ? ( -
          -
          - -
          -

          No sources found

          -

          - Add documents or configure search connectors for this search space -

          - -
          - ) : ( - <> - {/* Live Search Connectors Section */} - {liveSearchConnectors.length > 0 && ( -
          -
          - -

          Live Search Connectors

          - - Real-time - -
          -
          - {liveSearchConnectors.map((connector) => { - const isSelected = selectedConnectors.includes(connector.connector_type); - - return ( - - ); - })} -
          -
          - )} - - {/* Document Types Section */} - {documentTypes.length > 0 && ( -
          -
          - -

          Indexed Document Types

          - - Stored - -
          -
          - {documentTypes.map((docType) => { - const isSelected = selectedConnectors.includes(docType.type); - - return ( - - ); - })} -
          -
          - )} - - )} -
          - - {totalAvailableCount > 0 && ( - - - - - )} - -
          - ); - } -); - -ConnectorSelector.displayName = "ConnectorSelector"; - -const TopKSelector = React.memo( - ({ topK = 10, onTopKChange }: { topK?: number; onTopKChange?: (topK: number) => void }) => { - const MIN_VALUE = 1; - const MAX_VALUE = 100; - - const handleIncrement = React.useCallback(() => { - if (topK < MAX_VALUE) { - onTopKChange?.(topK + 1); - } - }, [topK, onTopKChange]); - - const handleDecrement = React.useCallback(() => { - if (topK > MIN_VALUE) { - onTopKChange?.(topK - 1); - } - }, [topK, onTopKChange]); - - const handleInputChange = React.useCallback( - (e: React.ChangeEvent) => { - const value = e.target.value; - // Allow empty input for editing - if (value === "") { - return; - } - const numValue = parseInt(value, 10); - if (!isNaN(numValue) && numValue >= MIN_VALUE && numValue <= MAX_VALUE) { - onTopKChange?.(numValue); - } - }, - [onTopKChange] - ); - - const handleInputBlur = React.useCallback( - (e: React.FocusEvent) => { - const value = e.target.value; - if (value === "") { - // Reset to default if empty - onTopKChange?.(10); - return; - } - const numValue = parseInt(value, 10); - if (isNaN(numValue) || numValue < MIN_VALUE) { - onTopKChange?.(MIN_VALUE); - } else if (numValue > MAX_VALUE) { - onTopKChange?.(MAX_VALUE); - } - }, - [onTopKChange] - ); - - return ( - - - -
          - -
          - - Results -
          - -
          -           - -
          -

          Results per Source

          -

          - Control how many results to fetch from each data source. Set a higher number to get - more information, or a lower number for faster, more focused results. -

          -
          - Recommended: 5-20 - • - - Range: {MIN_VALUE}-{MAX_VALUE} - -
          -
          -           -           -           - ); - } -); - -TopKSelector.displayName = "TopKSelector"; - -const LLMSelector = React.memo(() => { - const { search_space_id } = useParams(); - const searchSpaceId = Number(search_space_id); - - const { - data: llmConfigs = [], - isFetching: llmLoading, - isError: error, - } = useAtomValue(llmConfigsAtom); - const { - data: globalConfigs = [], - isFetching: globalConfigsLoading, - isError: globalConfigsError, - } = useAtomValue(globalLLMConfigsAtom); - - // Replace useLLMPreferences with jotai atoms - const { data: preferences = {}, isFetching: preferencesLoading } = - useAtomValue(llmPreferencesAtom); - const { mutateAsync: updatePreferences } = useAtomValue(updateLLMPreferencesMutationAtom); - - const isLoading = llmLoading || preferencesLoading || globalConfigsLoading; - - // Combine global and custom configs - const allConfigs = React.useMemo(() => { - return [...globalConfigs.map((config) => ({ ...config, is_global: true })), ...llmConfigs]; - }, [globalConfigs, llmConfigs]); - - // Memoize the selected config to avoid repeated lookups - const selectedConfig = React.useMemo(() => { - if (!preferences.fast_llm_id || !allConfigs.length) return null; - return allConfigs.find((config) => config.id === preferences.fast_llm_id) || null; - }, [preferences.fast_llm_id, allConfigs]); - - // Memoize the display value for the trigger - const displayValue = React.useMemo(() => { - if (!selectedConfig) return null; - return ( -
          - {selectedConfig.provider} - • - - {selectedConfig.name} - - {"is_global" in selectedConfig && selectedConfig.is_global && ( - 🌐 - )} -
          - ); - }, [selectedConfig]); - - const handleValueChange = React.useCallback( - (value: string) => { - const llmId = value ? parseInt(value, 10) : undefined; - updatePreferences({ - search_space_id: searchSpaceId, - data: { fast_llm_id: llmId }, - }); - }, - [updatePreferences, searchSpaceId] - ); - - // Loading skeleton - if (isLoading) { - return ( -
          -
          -
          -
          -
          -
          - ); - } - - // Error state - if (error || globalConfigsError) { - return ( -
          - -
          - ); - } - - return ( -
          - -
          - ); -}); - -LLMSelector.displayName = "LLMSelector"; - -const CustomChatInputOptions = React.memo( - ({ - onDocumentSelectionChange, - selectedDocuments, - onConnectorSelectionChange, - selectedConnectors, - topK, - onTopKChange, - }: { - onDocumentSelectionChange?: (documents: Document[]) => void; - selectedDocuments?: Document[]; - onConnectorSelectionChange?: (connectorTypes: string[]) => void; - selectedConnectors?: string[]; - topK?: number; - onTopKChange?: (topK: number) => void; - }) => { - // Memoize the loading fallback to prevent recreation - const loadingFallback = React.useMemo( - () =>
          , - [] - ); - - return ( -
          -
          - - - - - - -
          -
          - -
          - -
          - ); - } -); - -CustomChatInputOptions.displayName = "CustomChatInputOptions"; - -export const ChatInputUI = React.memo( - ({ - onDocumentSelectionChange, - selectedDocuments, - onConnectorSelectionChange, - selectedConnectors, - topK, - onTopKChange, - }: { - onDocumentSelectionChange?: (documents: Document[]) => void; - selectedDocuments?: Document[]; - onConnectorSelectionChange?: (connectorTypes: string[]) => void; - selectedConnectors?: string[]; - topK?: number; - onTopKChange?: (topK: number) => void; - }) => { - return ( - - - - - - - - ); - } -); - -ChatInputUI.displayName = "ChatInputUI"; diff --git a/surfsense_web/components/chat/ChatInterface.tsx b/surfsense_web/components/chat/ChatInterface.tsx deleted file mode 100644 index 64852fa15..000000000 --- a/surfsense_web/components/chat/ChatInterface.tsx +++ /dev/null @@ -1,47 +0,0 @@ -"use client"; - -import { type ChatHandler, ChatSection as LlamaIndexChatSection } from "@llamaindex/chat-ui"; -import { useParams } from "next/navigation"; -import { ChatInputUI } from "@/components/chat/ChatInputGroup"; -import { ChatMessagesUI } from "@/components/chat/ChatMessages"; -import type { Document } from "@/contracts/types/document.types"; - -interface ChatInterfaceProps { - handler: ChatHandler; - onDocumentSelectionChange?: (documents: Document[]) => void; - selectedDocuments?: Document[]; - onConnectorSelectionChange?: (connectorTypes: string[]) => void; - selectedConnectors?: string[]; - topK?: number; - onTopKChange?: (topK: number) => void; -} - -export default function ChatInterface({ - handler, - onDocumentSelectionChange, - selectedDocuments = [], - onConnectorSelectionChange, - selectedConnectors = [], - topK = 10, - onTopKChange, -}: ChatInterfaceProps) { - const { chat_id, search_space_id } = useParams(); - - return ( - -
          - -
          - -
          -
          -           - ); -} diff --git a/surfsense_web/components/chat/ChatMessages.tsx b/surfsense_web/components/chat/ChatMessages.tsx deleted file mode 100644 index 77c4b3e06..000000000 --- a/surfsense_web/components/chat/ChatMessages.tsx +++ /dev/null @@ -1,73 +0,0 @@ -"use client"; - -import { - ChatMessage as LlamaIndexChatMessage, - ChatMessages as LlamaIndexChatMessages, - type Message, - useChatUI, -} from "@llamaindex/chat-ui"; -import { useEffect, useRef } from "react"; -import { AnimatedEmptyState } from "@/components/chat/AnimatedEmptyState"; -import { CitationDisplay } from "@/components/chat/ChatCitation"; -import { ChatFurtherQuestions } from "@/components/chat/ChatFurtherQuestions"; -import ChatSourcesDisplay from "@/components/chat/ChatSources"; -import TerminalDisplay from "@/components/chat/ChatTerminal"; -import { languageRenderers } from "@/components/chat/CodeBlock"; - -export function ChatMessagesUI() { - const { messages } = useChatUI(); - - return ( - - - - - - {messages.map((message, index) => ( - - ))} - - - - ); -} - -function ChatMessageUI({ message, isLast }: { message: Message; isLast: boolean }) { - const bottomRef = useRef(null); - - useEffect(() => { - if (isLast && bottomRef.current) { - bottomRef.current.scrollIntoView({ behavior: "smooth" }); - } - }, [isLast]); - - return ( - - {message.role === "assistant" ? ( -
          - - - - - -
          -
          - {isLast && } - -
          -
          - ) : ( - - - - )} - - ); -} diff --git a/surfsense_web/components/chat/ChatPanel/ChatPanelContainer.tsx b/surfsense_web/components/chat/ChatPanel/ChatPanelContainer.tsx deleted file mode 100644 index cb0fcb33e..000000000 --- a/surfsense_web/components/chat/ChatPanel/ChatPanelContainer.tsx +++ /dev/null @@ -1,60 +0,0 @@ -"use client"; -import { useAtomValue } from "jotai"; -import { LoaderIcon, TriangleAlert } from "lucide-react"; -import { toast } from "sonner"; -import { activeChatAtom } from "@/atoms/chats/chat-query.atoms"; -import { activeChathatUIAtom, activeChatIdAtom } from "@/atoms/chats/ui.atoms"; -import { generatePodcastMutationAtom } from "@/atoms/podcasts/podcast-mutation.atoms"; -import type { GeneratePodcastRequest } from "@/contracts/types/podcast.types"; -import { cn } from "@/lib/utils"; -import { ChatPanelView } from "./ChatPanelView"; - -export function ChatPanelContainer() { - const { - data: activeChatState, - isLoading: isChatLoading, - error: chatError, - } = useAtomValue(activeChatAtom); - const activeChatIdState = useAtomValue(activeChatIdAtom); - const { isChatPannelOpen } = useAtomValue(activeChathatUIAtom); - const { mutateAsync: generatePodcast, error: generatePodcastError } = useAtomValue( - generatePodcastMutationAtom - ); - - const handleGeneratePodcast = async (request: GeneratePodcastRequest) => { - try { - generatePodcast(request); - toast.success(`Podcast generation started!`); - } catch (error) { - toast.error("Error generating podcast. Please try again later."); - console.error("Error generating podcast:", JSON.stringify(generatePodcastError)); - } - }; - - return activeChatIdState ? ( -
          - {isChatLoading || chatError ? ( -
          - {isChatLoading ? ( -
          - -
          - ) : chatError ? ( -
          - -
          - ) : null} -
          - ) : null} - - {!isChatLoading && !chatError && activeChatState?.chatDetails && ( - - )} -
          - ) : null; -} diff --git a/surfsense_web/components/chat/ChatPanel/ChatPanelView.tsx b/surfsense_web/components/chat/ChatPanel/ChatPanelView.tsx deleted file mode 100644 index 5eb428946..000000000 --- a/surfsense_web/components/chat/ChatPanel/ChatPanelView.tsx +++ /dev/null @@ -1,207 +0,0 @@ -"use client"; - -import { useAtom, useAtomValue } from "jotai"; -import { AlertCircle, Play, RefreshCw, Sparkles } from "lucide-react"; -import { motion } from "motion/react"; -import { useCallback } from "react"; -import { activeChatAtom } from "@/atoms/chats/chat-query.atoms"; -import { activeChathatUIAtom } from "@/atoms/chats/ui.atoms"; -import { cn } from "@/lib/utils"; -import { getPodcastStalenessMessage, isPodcastStale } from "../PodcastUtils"; -import type { GeneratePodcastRequest } from "./ChatPanelContainer"; -import { ConfigModal } from "./ConfigModal"; -import { PodcastPlayer } from "./PodcastPlayer"; - -interface ChatPanelViewProps { - generatePodcast: (request: GeneratePodcastRequest) => Promise; -} - -export function ChatPanelView(props: ChatPanelViewProps) { - const [chatUIState, setChatUIState] = useAtom(activeChathatUIAtom); - const { data: activeChatState } = useAtomValue(activeChatAtom); - - const { isChatPannelOpen } = chatUIState; - const podcast = activeChatState?.podcast; - const chatDetails = activeChatState?.chatDetails; - - const { generatePodcast } = props; - - // Check if podcast is stale - const podcastIsStale = - podcast && chatDetails && isPodcastStale(chatDetails.state_version, podcast.chat_state_version); - - const handleGeneratePost = useCallback(async () => { - if (!chatDetails) return; - await generatePodcast({ - type: "CHAT", - ids: [chatDetails.id], - search_space_id: chatDetails.search_space_id, - podcast_title: chatDetails.title, - }); - }, [chatDetails, generatePodcast]); - - // biome-ignore-start lint/a11y/useSemanticElements: using div for custom layout — will convert later - return ( -
          -
          - {isChatPannelOpen ? ( -
          - {/* Show stale podcast warning if applicable */} - {podcastIsStale && ( - -
          - - - -
          -

          Podcast Outdated

          -

          - {getPodcastStalenessMessage( - chatDetails?.state_version || 0, - podcast?.chat_state_version - )} -

          -
          -
          -           - )} - - - - {/* ConfigModal positioned absolutely to avoid nesting buttons */} -
          - -
          -           -
          - ) : ( - - setChatUIState((prev) => ({ - ...prev, - isChatPannelOpen: !isChatPannelOpen, - })) - } - whileHover={{ scale: 1.1 }} - whileTap={{ scale: 0.9 }} - className={cn( - "p-2.5 rounded-full transition-colors shadow-sm", - podcastIsStale - ? "bg-amber-500/20 hover:bg-amber-500/30 text-amber-600 dark:text-amber-400" - : "bg-primary/20 hover:bg-primary/30 text-primary" - )} - > - {podcastIsStale ? : } - - )} -
          - {podcast ? ( -
          - {isChatPannelOpen ? ( - - ) : podcast ? ( - setChatUIState((prev) => ({ ...prev, isChatPannelOpen: true }))} - whileHover={{ scale: 1.1 }} - whileTap={{ scale: 0.9 }} - className="p-2.5 rounded-full bg-green-500/20 hover:bg-green-500/30 text-green-600 dark:text-green-400 transition-colors shadow-sm" - > - - - ) : null} -
          - ) : null} -
          - ); - // biome-ignore-end lint/a11y/useSemanticElements : using div for custom layout — will convert later -} diff --git a/surfsense_web/components/chat/ChatPanel/ConfigModal.tsx b/surfsense_web/components/chat/ChatPanel/ConfigModal.tsx deleted file mode 100644 index 7c1497df9..000000000 --- a/surfsense_web/components/chat/ChatPanel/ConfigModal.tsx +++ /dev/null @@ -1,84 +0,0 @@ -"use client"; - -import { useAtomValue } from "jotai"; -import { Pencil } from "lucide-react"; -import { useCallback, useContext, useState } from "react"; -import { activeChatAtom } from "@/atoms/chats/chat-query.atoms"; -import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; -import type { GeneratePodcastRequest } from "./ChatPanelContainer"; - -interface ConfigModalProps { - generatePodcast: (request: GeneratePodcastRequest) => Promise; -} - -export function ConfigModal(props: ConfigModalProps) { - const { data: activeChatState } = useAtomValue(activeChatAtom); - - const chatDetails = activeChatState?.chatDetails; - const podcast = activeChatState?.podcast; - - const { generatePodcast } = props; - - const [userPromt, setUserPrompt] = useState(""); - - const handleGeneratePost = useCallback(async () => { - if (!chatDetails) return; - await generatePodcast({ - type: "CHAT", - ids: [chatDetails.id], - search_space_id: chatDetails.search_space_id, - podcast_title: podcast?.title || chatDetails.title, - user_prompt: userPromt, - }); - }, [chatDetails, userPromt]); - - return ( - - e.stopPropagation()} - > - - - e.stopPropagation()} align="end" className="bg-sidebar w-96 "> -
          - -

          - Leave empty to use the default prompt -

          -
          -

          Examples:

          -
            -
          • Make hosts speak in London street language
            • -
          • Use real-world analogies and metaphors
            • -
          • Add dramatic pauses like a late-night radio show
            • -
          • Include 90s pop culture references
            • -
          -
          - - - - -
          -           -           - ); -} diff --git a/surfsense_web/components/chat/ChatPanel/PodcastPlayer/PodcastPlayer.tsx b/surfsense_web/components/chat/ChatPanel/PodcastPlayer/PodcastPlayer.tsx deleted file mode 100644 index 63bd22c37..000000000 --- a/surfsense_web/components/chat/ChatPanel/PodcastPlayer/PodcastPlayer.tsx +++ /dev/null @@ -1,329 +0,0 @@ -"use client"; - -import { Pause, Play, SkipBack, SkipForward, Volume2, VolumeX, X } from "lucide-react"; -import { motion } from "motion/react"; -import { useEffect, useRef, useState } from "react"; -import { toast } from "sonner"; -import { Button } from "@/components/ui/button"; -import { Slider } from "@/components/ui/slider"; -import type { Podcast } from "@/contracts/types/podcast.types"; -import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; -import { PodcastPlayerCompactSkeleton } from "./PodcastPlayerCompactSkeleton"; - -interface PodcastPlayerProps { - podcast: Podcast | null; - isLoading?: boolean; - onClose?: () => void; - compact?: boolean; -} - -export function PodcastPlayer({ - podcast, - isLoading = false, - onClose, - compact = false, -}: PodcastPlayerProps) { - const [audioSrc, setAudioSrc] = useState(undefined); - const [isPlaying, setIsPlaying] = useState(false); - const [currentTime, setCurrentTime] = useState(0); - const [duration, setDuration] = useState(0); - const [volume, setVolume] = useState(0.7); - const [isMuted, setIsMuted] = useState(false); - const [isFetching, setIsFetching] = useState(false); - const audioRef = useRef(null); - const currentObjectUrlRef = useRef(null); - - // Cleanup object URL on unmount - useEffect(() => { - return () => { - if (currentObjectUrlRef.current) { - URL.revokeObjectURL(currentObjectUrlRef.current); - currentObjectUrlRef.current = null; - } - }; - }, []); - - // Load podcast audio when podcast changes - useEffect(() => { - if (!podcast) { - setAudioSrc(undefined); - setCurrentTime(0); - setDuration(0); - setIsPlaying(false); - setIsFetching(false); - return; - } - - const loadPodcast = async () => { - setIsFetching(true); - try { - // Revoke previous object URL if exists - if (currentObjectUrlRef.current) { - URL.revokeObjectURL(currentObjectUrlRef.current); - currentObjectUrlRef.current = null; - } - - const controller = new AbortController(); - const timeoutId = setTimeout(() => controller.abort(), 30000); - - try { - const response = await podcastsApiService.loadPodcast({ - request: { id: podcast.id }, - controller, - }); - - const objectUrl = URL.createObjectURL(response); - currentObjectUrlRef.current = objectUrl; - setAudioSrc(objectUrl); - } catch (error) { - if (error instanceof DOMException && error.name === "AbortError") { - throw new Error("Request timed out. Please try again."); - } - throw error; - } finally { - clearTimeout(timeoutId); - } - } catch (error) { - console.error("Error fetching podcast:", error); - toast.error(error instanceof Error ? error.message : "Failed to load podcast audio."); - setAudioSrc(undefined); - } finally { - setIsFetching(false); - } - }; - - loadPodcast(); - }, [podcast]); - - const handleTimeUpdate = () => { - if (audioRef.current) { - setCurrentTime(audioRef.current.currentTime); - } - }; - - const handleMetadataLoaded = () => { - if (audioRef.current) { - setDuration(audioRef.current.duration); - } - }; - - const togglePlayPause = () => { - if (audioRef.current) { - if (isPlaying) { - audioRef.current.pause(); - } else { - audioRef.current.play(); - } - setIsPlaying(!isPlaying); - } - }; - - const handleSeek = (value: number[]) => { - if (audioRef.current) { - audioRef.current.currentTime = value[0]; - setCurrentTime(value[0]); - } - }; - - const handleVolumeChange = (value: number[]) => { - if (audioRef.current) { - const newVolume = value[0]; - audioRef.current.volume = newVolume; - setVolume(newVolume); - - if (newVolume === 0) { - audioRef.current.muted = true; - setIsMuted(true); - } else { - audioRef.current.muted = false; - setIsMuted(false); - } - } - }; - - const toggleMute = () => { - if (audioRef.current) { - const newMutedState = !isMuted; - audioRef.current.muted = newMutedState; - setIsMuted(newMutedState); - - if (!newMutedState && volume === 0) { - const restoredVolume = 0.5; - audioRef.current.volume = restoredVolume; - setVolume(restoredVolume); - } - } - }; - - const skipForward = () => { - if (audioRef.current) { - audioRef.current.currentTime = Math.min( - audioRef.current.duration, - audioRef.current.currentTime + 10 - ); - } - }; - - const skipBackward = () => { - if (audioRef.current) { - audioRef.current.currentTime = Math.max(0, audioRef.current.currentTime - 10); - } - }; - - const formatTime = (time: number) => { - const minutes = Math.floor(time / 60); - const seconds = Math.floor(time % 60); - return `${minutes}:${seconds < 10 ? "0" : ""}${seconds}`; - }; - - // Show skeleton while fetching - if (isFetching && compact) { - return ; - } - - if (!podcast || !audioSrc) { - return null; - } - - if (compact) { - return ( - <> -
          - {/* Audio Visualizer */} - - {isPlaying && ( - - )} - - - {/* Progress Bar with Time */} -
          - -
          - {formatTime(currentTime)} - {formatTime(duration)} -
          -
          - - {/* Controls */} -
          - {/* Left: Volume */} -
          - - - -
          - - {/* Center: Playback Controls */} -
          - - - - - - - - - - - -
          - - {/* Right: Placeholder for symmetry */} -
          -
          -
          - - - - ); - } - - return null; -} diff --git a/surfsense_web/components/chat/ChatPanel/PodcastPlayer/PodcastPlayerCompactSkeleton.tsx b/surfsense_web/components/chat/ChatPanel/PodcastPlayer/PodcastPlayerCompactSkeleton.tsx deleted file mode 100644 index d7007dadd..000000000 --- a/surfsense_web/components/chat/ChatPanel/PodcastPlayer/PodcastPlayerCompactSkeleton.tsx +++ /dev/null @@ -1,40 +0,0 @@ -"use client"; - -import { Podcast } from "lucide-react"; -import { motion } from "motion/react"; - -export function PodcastPlayerCompactSkeleton() { - return ( -
          - {/* Header with icon and title */} -
          - - - - {/* Title skeleton */} -
          -
          - - {/* Progress bar skeleton */} -
          -
          -
          -
          - - {/* Controls skeleton */} -
          -
          -
          -
          -
          -
          -
          - ); -} diff --git a/surfsense_web/components/chat/ChatPanel/PodcastPlayer/index.ts b/surfsense_web/components/chat/ChatPanel/PodcastPlayer/index.ts deleted file mode 100644 index 55c19f934..000000000 --- a/surfsense_web/components/chat/ChatPanel/PodcastPlayer/index.ts +++ /dev/null @@ -1,2 +0,0 @@ -export { PodcastPlayer } from "./PodcastPlayer"; -export { PodcastPlayerCompactSkeleton } from "./PodcastPlayerCompactSkeleton"; diff --git a/surfsense_web/components/chat/ChatSources.tsx b/surfsense_web/components/chat/ChatSources.tsx deleted file mode 100644 index 5f205d005..000000000 --- a/surfsense_web/components/chat/ChatSources.tsx +++ /dev/null @@ -1,226 +0,0 @@ -"use client"; - -import { getAnnotationData, type Message } from "@llamaindex/chat-ui"; -import { ExternalLink, FileText } from "lucide-react"; -import { useState } from "react"; -import { Badge } from "@/components/ui/badge"; -import { Button } from "@/components/ui/button"; -import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; -import { Sheet, SheetContent, SheetHeader, SheetTitle, SheetTrigger } from "@/components/ui/sheet"; -import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"; -import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; -import { SourceDetailSheet } from "./SourceDetailSheet"; - -interface Source { - id: string; - title: string; - description: string; - url: string; - sourceType: string; -} - -interface SourceGroup { - id: number; - name: string; - type: string; - sources: Source[]; -} - -// New interfaces for the updated data format -interface NodeMetadata { - title: string; - source_type: string; - group_name: string; -} - -interface SourceNode { - id: string; - text: string; - url: string; - metadata: NodeMetadata; -} - -function getSourceIcon(type: string) { - // Handle USER_SELECTED_ prefix - const normalizedType = type.startsWith("USER_SELECTED_") - ? type.replace("USER_SELECTED_", "") - : type; - return getConnectorIcon(normalizedType, "h-4 w-4"); -} - -function SourceCard({ source }: { source: Source }) { - const hasUrl = source.url && source.url.trim() !== ""; - const chunkId = Number(source.id); - const sourceType = source.sourceType; - const [isOpen, setIsOpen] = useState(false); - - // Clean up the description for better display - const cleanDescription = source.description - .replace(/## Metadata\n\n/g, "") - .replace(/\n+/g, " ") - .trim(); - - const handleUrlClick = (e: React.MouseEvent, url: string) => { - e.preventDefault(); - e.stopPropagation(); - window.open(url, "_blank", "noopener,noreferrer"); - }; - - return ( - - - - -
          - - {source.title} - -
          - - #{chunkId} - - {hasUrl && ( - - )} -
          -
          -           - - - {cleanDescription} - - -           -           -           - ); -} - -export default function ChatSourcesDisplay({ message }: { message: Message }) { - const [open, setOpen] = useState(false); - const annotations = getAnnotationData(message, "sources"); - - // Transform the new data format to the expected SourceGroup format - const sourceGroups: SourceGroup[] = []; - - if (Array.isArray(annotations) && annotations.length > 0) { - // Extract all nodes from the response - const allNodes: SourceNode[] = []; - - annotations.forEach((item) => { - if (item && typeof item === "object" && "nodes" in item && Array.isArray(item.nodes)) { - allNodes.push(...item.nodes); - } - }); - - // Group nodes by source_type - const groupedByType = allNodes.reduce( - (acc, node) => { - const sourceType = node.metadata.source_type; - if (!acc[sourceType]) { - acc[sourceType] = []; - } - acc[sourceType].push(node); - return acc; - }, - {} as Record - ); - - // Convert grouped nodes to SourceGroup format - Object.entries(groupedByType).forEach(([sourceType, nodes], index) => { - if (nodes.length > 0) { - const firstNode = nodes[0]; - sourceGroups.push({ - id: index + 100, // Generate unique ID - name: firstNode.metadata.group_name, - type: sourceType, - sources: nodes.map((node) => ({ - id: node.id, - title: node.metadata.title, - description: node.text, - url: node.url || "", - sourceType: sourceType, - })), - }); - } - }); - } - - if (sourceGroups.length === 0) { - return null; - } - - const totalSources = sourceGroups.reduce((acc, group) => acc + group.sources.length, 0); - - return ( - - - - - - -
          - Sources - - {totalSources} {totalSources === 1 ? "source" : "sources"} - -
          -           - -
          - - {sourceGroups.map((group) => ( - - {getSourceIcon(group.type)} - - {group.name} - - - {group.sources.length} - - - ))} - -
          - {sourceGroups.map((group) => ( - -
          -
          - {group.sources.map((source) => ( - - ))} -
          -
          -           - ))} -           -           -           - ); -} diff --git a/surfsense_web/components/chat/ChatTerminal.tsx b/surfsense_web/components/chat/ChatTerminal.tsx deleted file mode 100644 index 07415eaf9..000000000 --- a/surfsense_web/components/chat/ChatTerminal.tsx +++ /dev/null @@ -1,105 +0,0 @@ -"use client"; - -import { getAnnotationData, type Message } from "@llamaindex/chat-ui"; -import { useEffect, useRef, useState } from "react"; -import { Button } from "@/components/ui/button"; - -export default function TerminalDisplay({ message, open }: { message: Message; open: boolean }) { - const [isCollapsed, setIsCollapsed] = useState(!open); - - const bottomRef = useRef(null); - - useEffect(() => { - if (bottomRef.current) { - bottomRef.current.scrollTo({ - top: bottomRef.current.scrollHeight, - behavior: "smooth", - }); - } - }, []); - - // Get the last assistant message that's not being typed - if (!message) { - return null; - } - - interface TerminalInfo { - id: number; - text: string; - type: string; - } - - const events = getAnnotationData(message, "TERMINAL_INFO") as TerminalInfo[]; - - if (events.length === 0) { - return null; - } - - return ( -
          - {/* Terminal Header */} - - - {/* Terminal Content (animated expand/collapse) */} -
          -
          - {events.map((event, index) => ( -
          - $ - [{event.type || ""}] - - {event.text || ""}... - -
          - ))} - {events.length === 0 && ( -
          No agent events to display...
          - )} -
          -
          -
          - ); -} diff --git a/surfsense_web/components/chat/Citation.tsx b/surfsense_web/components/chat/Citation.tsx deleted file mode 100644 index 27b352e96..000000000 --- a/surfsense_web/components/chat/Citation.tsx +++ /dev/null @@ -1,118 +0,0 @@ -import { ExternalLink } from "lucide-react"; -import { memo, useState } from "react"; -import { Button } from "@/components/ui/button"; -import { Card } from "@/components/ui/card"; -import { - DropdownMenu, - DropdownMenuContent, - DropdownMenuTrigger, -} from "@/components/ui/dropdown-menu"; -import { getConnectorIcon } from "./ConnectorComponents"; -import type { Source } from "./types"; - -type CitationProps = { - citationId: number; - citationText: string; - position: number; - source: Source | null; -}; - -/** - * Citation component to handle individual citations - */ -export const Citation = memo(({ citationId, citationText, position, source }: CitationProps) => { - const [open, setOpen] = useState(false); - const citationKey = `citation-${citationId}-${position}`; - - if (!source) return <>{citationText}; - - return ( - - - - - - {citationId} - - - - {open && ( - - -
          -
          - {getConnectorIcon(source.connectorType || "")} -
          -
          -
          -

          {source.title}

          -
          -

          {source.description}

          -
          - {source.url} -
          -
          - -
          -           -           - )} -           -           - ); -}); - -Citation.displayName = "Citation"; - -/** - * Function to render text with citations - */ -export const renderTextWithCitations = ( - text: string, - getCitationSource: (id: number) => Source | null -) => { - // Regular expression to find citation patterns like [1], [2], etc. - const citationRegex = /\[(\d+)\]/g; - const parts = []; - let lastIndex = 0; - let match: RegExpExecArray | null = citationRegex.exec(text); - let position = 0; - - while (match !== null) { - // Add text before the citation - if (match.index > lastIndex) { - parts.push(text.substring(lastIndex, match.index)); - } - - // Add the citation component - const citationId = parseInt(match[1], 10); - parts.push( - - ); - - lastIndex = match.index + match[0].length; - position++; - match = citationRegex.exec(text); - } - - // Add any remaining text after the last citation - if (lastIndex < text.length) { - parts.push(text.substring(lastIndex)); - } - - return parts; -}; diff --git a/surfsense_web/components/chat/CodeBlock.tsx b/surfsense_web/components/chat/CodeBlock.tsx deleted file mode 100644 index 7641a8b82..000000000 --- a/surfsense_web/components/chat/CodeBlock.tsx +++ /dev/null @@ -1,211 +0,0 @@ -"use client"; - -import { Check, Copy } from "lucide-react"; -import { useTheme } from "next-themes"; -import { memo, useCallback, useEffect, useMemo, useState } from "react"; -import { Prism as SyntaxHighlighter } from "react-syntax-highlighter"; -import { oneDark, oneLight } from "react-syntax-highlighter/dist/cjs/styles/prism"; - -// Constants for styling and configuration -const COPY_TIMEOUT = 2000; - -const BASE_CUSTOM_STYLE = { - margin: 0, - borderRadius: "0.375rem", - fontSize: "0.75rem", - lineHeight: "1.5rem", - border: "none", -} as const; - -const LINE_PROPS_STYLE = { - wordBreak: "break-all" as const, - whiteSpace: "pre-wrap" as const, - border: "none", - borderBottom: "none", - paddingLeft: 0, - paddingRight: 0, - margin: "0.25rem 0", -} as const; - -const CODE_TAG_PROPS = { - className: "font-mono", - style: { - border: "none", - background: "var(--syntax-bg)", - }, -} as const; - -// TypeScript interfaces -interface CodeBlockProps { - children: string; - language: string; -} - -type LanguageRenderer = (props: { code: string }) => React.JSX.Element; - -interface SyntaxStyle { - [key: string]: React.CSSProperties; -} - -// Memoized fallback component for SSR/hydration -const FallbackCodeBlock = memo(({ children }: { children: string }) => ( -
          - 
          -			{children}
-
          -
          -)); - -FallbackCodeBlock.displayName = "FallbackCodeBlock"; - -// Code block component with syntax highlighting and copy functionality -export const CodeBlock = memo(({ children, language }) => { - const [copied, setCopied] = useState(false); - const { resolvedTheme, theme } = useTheme(); - const [mounted, setMounted] = useState(false); - - // Prevent hydration issues - useEffect(() => { - setMounted(true); - }, []); - - // Memoize theme detection - const isDarkTheme = useMemo( - () => mounted && (resolvedTheme === "dark" || theme === "dark"), - [mounted, resolvedTheme, theme] - ); - - // Memoize syntax theme selection - const syntaxTheme = useMemo(() => (isDarkTheme ? oneDark : oneLight), [isDarkTheme]); - - // Memoize enhanced style with theme-specific modifications - const enhancedStyle = useMemo( - () => ({ - ...syntaxTheme, - 'pre[class*="language-"]': { - ...syntaxTheme['pre[class*="language-"]'], - margin: 0, - border: "none", - borderRadius: "0.375rem", - background: "var(--syntax-bg)", - }, - 'code[class*="language-"]': { - ...syntaxTheme['code[class*="language-"]'], - border: "none", - background: "var(--syntax-bg)", - }, - }), - [syntaxTheme] - ); - - // Memoize custom style with background - const customStyle = useMemo( - () => ({ - ...BASE_CUSTOM_STYLE, - backgroundColor: "var(--syntax-bg)", - }), - [] - ); - - // Memoized copy handler - const handleCopy = useCallback(async () => { - try { - await navigator.clipboard.writeText(children); - setCopied(true); - const timeoutId = setTimeout(() => setCopied(false), COPY_TIMEOUT); - return () => clearTimeout(timeoutId); - } catch (error) { - console.warn("Failed to copy code to clipboard:", error); - } - }, [children]); - - // Memoized line props with style - const lineProps = useMemo( - () => ({ - style: LINE_PROPS_STYLE, - }), - [] - ); - - // Early return for non-mounted state - if (!mounted) { - return {children}; - } - - return ( -
          -
          - -
          - - {children} - -
          - ); -}); - -CodeBlock.displayName = "CodeBlock"; - -// Optimized language renderer factory with memoization -const createLanguageRenderer = (lang: string): LanguageRenderer => { - const renderer = ({ code }: { code: string }) => {code}; - renderer.displayName = `LanguageRenderer(${lang})`; - return renderer; -}; - -// Pre-defined supported languages for better maintainability -const SUPPORTED_LANGUAGES = [ - "javascript", - "typescript", - "python", - "java", - "csharp", - "cpp", - "c", - "php", - "ruby", - "go", - "rust", - "swift", - "kotlin", - "scala", - "sql", - "json", - "xml", - "yaml", - "bash", - "shell", - "powershell", - "dockerfile", - "html", - "css", - "scss", - "less", - "markdown", - "text", -] as const; - -// Generate language renderers efficiently -export const languageRenderers: Record = Object.fromEntries( - SUPPORTED_LANGUAGES.map((lang) => [lang, createLanguageRenderer(lang)]) -); diff --git a/surfsense_web/components/chat/ConnectorComponents.tsx b/surfsense_web/components/chat/ConnectorComponents.tsx deleted file mode 100644 index 3866d055e..000000000 --- a/surfsense_web/components/chat/ConnectorComponents.tsx +++ /dev/null @@ -1,109 +0,0 @@ -import { ChevronDown, Plus } from "lucide-react"; -import type React from "react"; -import { Button } from "@/components/ui/button"; -import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; -import type { Connector } from "./types"; - -/** - * Displays a small icon for a connector type - */ -export const ConnectorIcon = ({ type, index = 0 }: { type: string; index?: number }) => ( -
          - {getConnectorIcon(type)} -
          -); - -/** - * Displays a count indicator for additional connectors - */ -export const ConnectorCountBadge = ({ count }: { count: number }) => ( -
          - +{count} -
          -); - -type ConnectorButtonProps = { - selectedConnectors: string[]; - onClick: () => void; - connectorSources: Connector[]; -}; - -/** - * Button that displays selected connectors and opens connector selection dialog - */ -export const ConnectorButton = ({ - selectedConnectors, - onClick, - connectorSources, -}: ConnectorButtonProps) => { - const totalConnectors = connectorSources.length; - const selectedCount = selectedConnectors.length; - const progressPercentage = (selectedCount / totalConnectors) * 100; - - // Get the name of a single selected connector - const getSingleConnectorName = () => { - const connector = connectorSources.find((c) => c.type === selectedConnectors[0]); - return connector?.name || ""; - }; - - // Get display text based on selection count - const getDisplayText = () => { - if (selectedCount === totalConnectors) return "All Connectors"; - if (selectedCount === 1) return getSingleConnectorName(); - return `${selectedCount} Connectors`; - }; - - // Render the empty state (no connectors selected) - const renderEmptyState = () => ( - <> - - Select Connectors - - ); - - // Render the selected connectors preview - const renderSelectedConnectors = () => ( - <> -
          - {/* Show up to 3 connector icons */} - {selectedConnectors.slice(0, 3).map((type, index) => ( - - ))} - - {/* Show count indicator if more than 3 connectors are selected */} - {selectedCount > 3 && } -
          - - {/* Display text */} - {getDisplayText()} - - ); - - return ( - - ); -}; diff --git a/surfsense_web/components/chat/DocumentsDataTable.tsx b/surfsense_web/components/chat/DocumentsDataTable.tsx deleted file mode 100644 index 77f1a05bd..000000000 --- a/surfsense_web/components/chat/DocumentsDataTable.tsx +++ /dev/null @@ -1,604 +0,0 @@ -"use client"; - -import { useQuery } from "@tanstack/react-query"; -import { - type ColumnDef, - flexRender, - getCoreRowModel, - type SortingState, - useReactTable, -} from "@tanstack/react-table"; -import { useAtomValue } from "jotai"; -import { ArrowUpDown, Calendar, FileText, Filter, Plus, Search } from "lucide-react"; -import { useRouter } from "next/navigation"; -import { useCallback, useEffect, useMemo, useRef, useState } from "react"; -import { documentTypeCountsAtom } from "@/atoms/documents/document-query.atoms"; -import { Button } from "@/components/ui/button"; -import { Checkbox } from "@/components/ui/checkbox"; -import { Input } from "@/components/ui/input"; -import { Label } from "@/components/ui/label"; -import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; -import { - Select, - SelectContent, - SelectItem, - SelectTrigger, - SelectValue, -} from "@/components/ui/select"; -import { - Table, - TableBody, - TableCell, - TableHead, - TableHeader, - TableRow, -} from "@/components/ui/table"; -import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; -import type { Document, DocumentTypeEnum } from "@/contracts/types/document.types"; -import { documentsApiService } from "@/lib/apis/documents-api.service"; -import { cacheKeys } from "@/lib/query-client/cache-keys"; - -interface DocumentsDataTableProps { - searchSpaceId: number; - onSelectionChange: (documents: Document[]) => void; - onDone: () => void; - initialSelectedDocuments?: Document[]; -} - -function useDebounced(value: T, delay = 300) { - const [debounced, setDebounced] = useState(value); - useEffect(() => { - const t = setTimeout(() => setDebounced(value), delay); - return () => clearTimeout(t); - }, [value, delay]); - return debounced; -} - -const columns: ColumnDef[] = [ - { - id: "select", - header: ({ table }) => ( - table.toggleAllPageRowsSelected(!!value)} - aria-label="Select all" - /> - ), - cell: ({ row }) => ( - row.toggleSelected(!!value)} - aria-label="Select row" - /> - ), - enableSorting: false, - enableHiding: false, - size: 40, - }, - { - accessorKey: "title", - header: ({ column }) => ( - - ), - cell: ({ row }) => { - const title = row.getValue("title") as string; - return ( -
          - {title} -
          - ); - }, - }, - { - accessorKey: "document_type", - header: "Type", - cell: ({ row }) => { - const type = row.getValue("document_type") as DocumentType; - return ( -
          - {getConnectorIcon(String(type))} -
          - ); - }, - size: 80, - meta: { - className: "hidden sm:table-cell", - }, - }, - { - accessorKey: "content", - header: "Preview", - cell: ({ row }) => { - const content = row.getValue("content") as string; - return ( -
          - {content.substring(0, 30)}... - {content.substring(0, 100)}... -
          - ); - }, - enableSorting: false, - meta: { - className: "hidden md:table-cell", - }, - }, - { - accessorKey: "created_at", - header: ({ column }) => ( - - ), - cell: ({ row }) => { - const date = new Date(row.getValue("created_at")); - return ( -
          - - {date.toLocaleDateString("en-US", { - month: "short", - day: "numeric", - year: "numeric", - })} - - - {date.toLocaleDateString("en-US", { - month: "numeric", - day: "numeric", - })} - -
          - ); - }, - size: 80, - }, -]; - -export function DocumentsDataTable({ - searchSpaceId, - onSelectionChange, - onDone, - initialSelectedDocuments = [], -}: DocumentsDataTableProps) { - const router = useRouter(); - const [sorting, setSorting] = useState([]); - const [search, setSearch] = useState(""); - const debouncedSearch = useDebounced(search, 300); - const [documentTypeFilter, setDocumentTypeFilter] = useState([]); - const [pageIndex, setPageIndex] = useState(0); - const [pageSize, setPageSize] = useState(10); - const { data: typeCounts } = useAtomValue(documentTypeCountsAtom); - - const fetchQueryParams = useMemo( - () => ({ - search_space_id: searchSpaceId, - page: pageIndex, - page_size: pageSize, - ...(documentTypeFilter.length > 0 && { document_types: documentTypeFilter }), - }), - [searchSpaceId, pageIndex, pageSize, documentTypeFilter, debouncedSearch] - ); - - const searchQueryParams = useMemo(() => { - return { - search_space_id: searchSpaceId, - page: pageIndex, - page_size: pageSize, - ...(documentTypeFilter.length > 0 && { document_types: documentTypeFilter }), - title: debouncedSearch, - }; - }, [debouncedSearch, searchSpaceId, pageIndex, pageSize, documentTypeFilter, debouncedSearch]); - - // Use query for fetching documents - const { data: documents, isLoading: isDocumentsLoading } = useQuery({ - queryKey: cacheKeys.documents.withQueryParams(fetchQueryParams), - queryFn: () => documentsApiService.getDocuments({ queryParams: fetchQueryParams }), - staleTime: 3 * 60 * 1000, // 3 minutes - enabled: !!searchSpaceId && !debouncedSearch.trim(), - }); - - // Seaching - const { data: searchedDocuments, isLoading: isSearchedDocumentsLoading } = useQuery({ - queryKey: cacheKeys.documents.withQueryParams(searchQueryParams), - queryFn: () => documentsApiService.searchDocuments({ queryParams: searchQueryParams }), - staleTime: 3 * 60 * 1000, // 3 minutes - enabled: !!searchSpaceId && !!debouncedSearch.trim(), - }); - - // Use query data when not searching, otherwise use hook data - const actualDocuments = debouncedSearch.trim() - ? searchedDocuments?.items || [] - : documents?.items || []; - const actualTotal = debouncedSearch.trim() - ? searchedDocuments?.total || 0 - : documents?.total || 0; - const actualLoading = debouncedSearch.trim() ? isSearchedDocumentsLoading : isDocumentsLoading; - - // Memoize initial row selection to prevent infinite loops - const initialRowSelection = useMemo(() => { - if (!initialSelectedDocuments.length) return {}; - - const selection: Record = {}; - initialSelectedDocuments.forEach((selectedDoc) => { - selection[selectedDoc.id] = true; - }); - return selection; - }, [initialSelectedDocuments]); - - const [rowSelection, setRowSelection] = useState>( - () => initialRowSelection - ); - - // Maintain a separate state for actually selected documents (across all pages) - const [selectedDocumentsMap, setSelectedDocumentsMap] = useState>(() => { - const map = new Map(); - initialSelectedDocuments.forEach((doc) => map.set(doc.id, doc)); - return map; - }); - - // Track the last notified selection to avoid redundant parent calls - const lastNotifiedSelection = useRef(""); - - // Update row selection only when initialSelectedDocuments changes (not rowSelection itself) - useEffect(() => { - const initialKeys = Object.keys(initialRowSelection); - if (initialKeys.length === 0) return; - - const currentKeys = Object.keys(rowSelection); - // Quick length check before expensive comparison - if (currentKeys.length === initialKeys.length) { - // Check if all keys match (order doesn't matter for Sets) - const hasAllKeys = initialKeys.every((key) => rowSelection[key]); - if (hasAllKeys) return; - } - - setRowSelection(initialRowSelection); - }, [initialRowSelection]); // Remove rowSelection from dependencies to prevent loop - - // Update the selected documents map when row selection changes - useEffect(() => { - if (!actualDocuments || actualDocuments.length === 0) return; - - setSelectedDocumentsMap((prev) => { - const newMap = new Map(prev); - let hasChanges = false; - - // Process only current page documents - for (const doc of actualDocuments) { - const docId = doc.id; - const isSelected = rowSelection[docId.toString()]; - const wasInMap = newMap.has(docId); - - if (isSelected && !wasInMap) { - newMap.set(docId, doc); - hasChanges = true; - } else if (!isSelected && wasInMap) { - newMap.delete(docId); - hasChanges = true; - } - } - - // Return same reference if no changes to avoid unnecessary re-renders - return hasChanges ? newMap : prev; - }); - }, [rowSelection, documents]); - - // Memoize selected documents array - const selectedDocumentsArray = useMemo(() => { - return Array.from(selectedDocumentsMap.values()); - }, [selectedDocumentsMap]); - - // Notify parent of selection changes only when content actually changes - useEffect(() => { - // Create a stable string representation for comparison - const selectionKey = selectedDocumentsArray - .map((d) => d.id) - .sort() - .join(","); - - // Skip if selection hasn't actually changed - if (selectionKey === lastNotifiedSelection.current) return; - - lastNotifiedSelection.current = selectionKey; - onSelectionChange(selectedDocumentsArray); - }, [selectedDocumentsArray, onSelectionChange]); - - const table = useReactTable({ - data: actualDocuments || [], - columns, - getRowId: (row) => row.id.toString(), - onSortingChange: setSorting, - getCoreRowModel: getCoreRowModel(), - onRowSelectionChange: setRowSelection, - manualPagination: true, - pageCount: Math.ceil(actualTotal / pageSize), - state: { sorting, rowSelection, pagination: { pageIndex, pageSize } }, - }); - - const handleClearAll = useCallback(() => { - setRowSelection({}); - setSelectedDocumentsMap(new Map()); - }, []); - - const handleSelectPage = useCallback(() => { - const currentPageRows = table.getRowModel().rows; - const newSelection = { ...rowSelection }; - currentPageRows.forEach((row) => { - newSelection[row.id] = true; - }); - setRowSelection(newSelection); - }, [table, rowSelection]); - - const handleToggleType = useCallback((type: DocumentTypeEnum, checked: boolean) => { - setDocumentTypeFilter((prev) => { - if (checked) { - return [...prev, type]; - } - return prev.filter((t) => t !== type); - }); - setPageIndex(0); // Reset to first page when filter changes - }, []); - - const selectedCount = selectedDocumentsMap.size; - - // Get available document types from type counts (memoized) - const availableTypes = useMemo(() => { - const types = typeCounts ? (Object.keys(typeCounts) as DocumentTypeEnum[]) : []; - return types.length > 0 ? types.sort() : []; - }, [typeCounts]); - - return ( -
          - {/* Header Controls */} -
          - {/* Search and Filter Row */} -
          -
          - - { - setSearch(event.target.value); - setPageIndex(0); // Reset to first page on search - }} - className="pl-10 text-sm" - /> -
          - - - - - -
          -
          Filter by Type
          -
          - {availableTypes.map((type) => ( -
          - handleToggleType(type, !!checked)} - /> - -
          - ))} -
          - {documentTypeFilter.length > 0 && ( - - )} -
          -           -           -
          - - {/* Action Controls Row */} -
          -
          - - {selectedCount} selected {actualLoading && "· Loading..."} - -
          -
          - - - -
          -
          - -
          -
          - - {/* Table Container */} -
          -
          - {actualLoading ? ( -
          -
          -
          -

          Loading documents...

          -
          -
          - ) : ( - - - {table.getHeaderGroups().map((headerGroup) => ( - - {headerGroup.headers.map((header) => ( - - {header.isPlaceholder - ? null - : flexRender(header.column.columnDef.header, header.getContext())} - - ))} - - ))} - - - {table.getRowModel().rows?.length ? ( - table.getRowModel().rows.map((row) => ( - - {row.getVisibleCells().map((cell) => ( - - {flexRender(cell.column.columnDef.cell, cell.getContext())} - - ))} - - )) - ) : ( - - -
          -
          - -
          -
          -

          No documents found

          -

          - Get started by adding your first data source to build your knowledge - base. -

          -
          - -
          -           -           - )} -           -
          - )} -
          -
          - - {/* Footer Pagination */} -
          -
          - Showing {pageIndex * pageSize + 1} to {Math.min((pageIndex + 1) * pageSize, actualTotal)}{" "} - of {actualTotal} documents -
          -
          - -
          - Page - {pageIndex + 1} - of - {Math.ceil(actualTotal / pageSize)} -
          - -
          -
          -
          - ); -} diff --git a/surfsense_web/components/chat/PodcastUtils.ts b/surfsense_web/components/chat/PodcastUtils.ts deleted file mode 100644 index 5662f96b5..000000000 --- a/surfsense_web/components/chat/PodcastUtils.ts +++ /dev/null @@ -1,43 +0,0 @@ -/** - * Determines if a podcast is stale compared to the current chat state. - * A podcast is considered stale if: - * - The chat's current state_version is greater than the podcast's chat_state_version - * - * @param chatVersion - The current state_version of the chat - * @param podcastVersion - The chat_state_version stored when the podcast was generated (nullable) - * @returns true if the podcast is stale, false otherwise - */ -export function isPodcastStale( - chatVersion: number, - podcastVersion: number | null | undefined -): boolean { - // If podcast has no version, it's stale (generated before this feature) - if (!podcastVersion) { - return true; - } - // If chat version is greater than podcast version, it's stale : We can change this condition to consider staleness after a huge number of updates - return chatVersion > podcastVersion; -} - -/** - * Gets a human-readable message about podcast staleness - * - * @param chatVersion - The current state_version of the chat - * @param podcastVersion - The chat_state_version stored when the podcast was generated - * @returns A descriptive message about the podcast's staleness status - */ -export function getPodcastStalenessMessage( - chatVersion: number, - podcastVersion: number | null | undefined -): string { - if (!podcastVersion) { - return "This podcast was generated before chat updates were tracked. Consider regenerating it."; - } - - if (chatVersion > podcastVersion) { - const versionDiff = chatVersion - podcastVersion; - return `This podcast is outdated. The chat has been updated ${versionDiff} time${versionDiff > 1 ? "s" : ""} since this podcast was generated.`; - } - - return "This podcast is up to date with the current chat."; -} diff --git a/surfsense_web/components/chat/ScrollUtils.tsx b/surfsense_web/components/chat/ScrollUtils.tsx deleted file mode 100644 index 3984246ae..000000000 --- a/surfsense_web/components/chat/ScrollUtils.tsx +++ /dev/null @@ -1,81 +0,0 @@ -import { type RefObject, useEffect } from "react"; - -/** - * Function to scroll to the bottom of a container - */ -export const scrollToBottom = (ref: RefObject) => { - ref.current?.scrollIntoView({ behavior: "smooth" }); -}; - -/** - * Hook to scroll to bottom when messages change - */ -export const useScrollToBottom = (ref: RefObject, dependencies: any[]) => { - useEffect(() => { - scrollToBottom(ref); - }, dependencies); -}; - -/** - * Function to check scroll position and update indicators - */ -export const updateScrollIndicators = ( - tabsListRef: RefObject, - setCanScrollLeft: (value: boolean) => void, - setCanScrollRight: (value: boolean) => void -) => { - if (tabsListRef.current) { - const { scrollLeft, scrollWidth, clientWidth } = tabsListRef.current; - setCanScrollLeft(scrollLeft > 0); - setCanScrollRight(scrollLeft + clientWidth < scrollWidth - 10); // 10px buffer - } -}; - -/** - * Hook to initialize scroll indicators and add resize listener - */ -export const useScrollIndicators = ( - tabsListRef: RefObject, - setCanScrollLeft: (value: boolean) => void, - setCanScrollRight: (value: boolean) => void -) => { - const updateIndicators = () => - updateScrollIndicators(tabsListRef, setCanScrollLeft, setCanScrollRight); - - useEffect(() => { - updateIndicators(); - // Add resize listener to update indicators when window size changes - window.addEventListener("resize", updateIndicators); - return () => window.removeEventListener("resize", updateIndicators); - }, [updateIndicators]); - - return updateIndicators; -}; - -/** - * Function to scroll tabs list left - */ -export const scrollTabsLeft = ( - tabsListRef: RefObject, - updateIndicators: () => void -) => { - if (tabsListRef.current) { - tabsListRef.current.scrollBy({ left: -200, behavior: "smooth" }); - // Update indicators after scrolling - setTimeout(updateIndicators, 300); - } -}; - -/** - * Function to scroll tabs list right - */ -export const scrollTabsRight = ( - tabsListRef: RefObject, - updateIndicators: () => void -) => { - if (tabsListRef.current) { - tabsListRef.current.scrollBy({ left: 200, behavior: "smooth" }); - // Update indicators after scrolling - setTimeout(updateIndicators, 300); - } -}; diff --git a/surfsense_web/components/chat/SegmentedControl.tsx b/surfsense_web/components/chat/SegmentedControl.tsx deleted file mode 100644 index 91314ae18..000000000 --- a/surfsense_web/components/chat/SegmentedControl.tsx +++ /dev/null @@ -1,41 +0,0 @@ -import type React from "react"; -import { Button } from "@/components/ui/button"; - -type SegmentedControlProps = { - value: T; - onChange: (value: T) => void; - options: Array<{ - value: T; - label: string; - icon: React.ReactNode; - }>; -}; - -/** - * A segmented control component for selecting between different options - */ -function SegmentedControl({ - value, - onChange, - options, -}: SegmentedControlProps) { - return ( -
          - {options.map((option) => ( - - ))} -
          - ); -} - -export default SegmentedControl; diff --git a/surfsense_web/components/chat/SourceDetailSheet.tsx b/surfsense_web/components/chat/SourceDetailSheet.tsx deleted file mode 100644 index 7f5ebbeab..000000000 --- a/surfsense_web/components/chat/SourceDetailSheet.tsx +++ /dev/null @@ -1,254 +0,0 @@ -"use client"; - -import { useQuery } from "@tanstack/react-query"; -import { ChevronDown, ChevronUp, ExternalLink, Loader2 } from "lucide-react"; -import type React from "react"; -import { type ReactNode, useEffect, useLayoutEffect, useRef, useState } from "react"; -import { MarkdownViewer } from "@/components/markdown-viewer"; -import { Button } from "@/components/ui/button"; -import { Collapsible, CollapsibleContent, CollapsibleTrigger } from "@/components/ui/collapsible"; -import { ScrollArea } from "@/components/ui/scroll-area"; -import { - Sheet, - SheetContent, - SheetDescription, - SheetHeader, - SheetTitle, -} from "@/components/ui/sheet"; -import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; -import { documentsApiService } from "@/lib/apis/documents-api.service"; -import { cacheKeys } from "@/lib/query-client/cache-keys"; -import { cn } from "@/lib/utils"; - -interface SourceDetailSheetProps { - open: boolean; - onOpenChange: (open: boolean) => void; - chunkId: number; - sourceType: string; - title: string; - description?: string; - url?: string; - children?: ReactNode; -} - -const formatDocumentType = (type: string) => { - return type - .split("_") - .map((word) => word.charAt(0) + word.slice(1).toLowerCase()) - .join(" "); -}; - -export function SourceDetailSheet({ - open, - onOpenChange, - chunkId, - sourceType, - title, - description, - url, - children, -}: SourceDetailSheetProps) { - const chunksContainerRef = useRef(null); - const highlightedChunkRef = useRef(null); - const [summaryOpen, setSummaryOpen] = useState(false); - - const { - data: document, - isLoading: isDocumentByChunkFetching, - error: documentByChunkFetchingError, - } = useQuery({ - queryKey: cacheKeys.documents.byChunk(chunkId.toString()), - queryFn: () => documentsApiService.getDocumentByChunk({ chunk_id: chunkId }), - enabled: !!chunkId && open, - staleTime: 5 * 60 * 1000, // 5 minutes - }); - - // Check if this is a source type that should render directly from node - const isDirectRenderSource = - sourceType === "TAVILY_API" || - sourceType === "LINKUP_API" || - sourceType === "SEARXNG_API" || - sourceType === "BAIDU_SEARCH_API"; - - useEffect(() => { - // Scroll to highlighted chunk when document loads - if (document) { - setTimeout(() => { - highlightedChunkRef.current?.scrollIntoView({ - behavior: "smooth", - block: "start", - }); - }, 100); - } - }, [document, open]); - - const handleUrlClick = (e: React.MouseEvent, clickUrl: string) => { - e.preventDefault(); - e.stopPropagation(); - window.open(clickUrl, "_blank", "noopener,noreferrer"); - }; - - return ( - - {children} - - - - {getConnectorIcon(sourceType)} - {document?.title || title} - - - {document - ? formatDocumentType(document.document_type) - : sourceType && formatDocumentType(sourceType)} - - - - {!isDirectRenderSource && isDocumentByChunkFetching && ( -
          - -
          - )} - - {!isDirectRenderSource && documentByChunkFetchingError && ( -
          -

          - {documentByChunkFetchingError.message || "Failed to load document"} -

          -
          - )} - - {/* Direct render for web search providers */} - {isDirectRenderSource && ( - -
          - {/* External Link */} - {url && ( -
          - -
          - )} - - {/* Source Information */} -
          -

          Source Information

          -
          - {title || "Untitled"} -
          -
          - {description || "No content available"} -
          -
          -
          -           - )} - - {/* API-fetched document content */} - {!isDirectRenderSource && document && ( - -
          - {/* Document Metadata */} - {document.document_metadata && Object.keys(document.document_metadata).length > 0 && ( -
          -

          Document Information

          -
          - {Object.entries(document.document_metadata).map(([key, value]) => ( -
          -
          - {key.replace(/_/g, " ")}: -
          -
          {String(value)}
          -
          - ))} -
          -
          - )} - - {/* External Link */} - {url && ( -
          - -
          - )} - - {/* Chunks */} -
          -
          - {/* Header row: header and button side by side */} -
          -

          Document Content

          - {document.content && ( - - - Summary - {summaryOpen ? ( - - ) : ( - - )} - - - )} -
          - {/* Expanded summary content: always full width, below the row */} - {document.content && ( - - -
          - -
          -           -           - )} -
          - - {document.chunks.map((chunk, idx) => ( -
          -
          - - Chunk {idx + 1} of {document.chunks.length} - - {chunk.id === chunkId && ( - - Referenced Chunk - - )} -
          -
          - -
          -
          - ))} -
          -
          -           - )} -           -           - ); -} diff --git a/surfsense_web/components/chat/SourceUtils.tsx b/surfsense_web/components/chat/SourceUtils.tsx deleted file mode 100644 index a384a7b56..000000000 --- a/surfsense_web/components/chat/SourceUtils.tsx +++ /dev/null @@ -1,69 +0,0 @@ -import type { Connector, Source } from "./types"; - -/** - * Function to get sources for the main view - */ -export const getMainViewSources = (connector: Connector, initialSourcesDisplay: number) => { - return connector.sources?.slice(0, initialSourcesDisplay); -}; - -/** - * Function to get filtered sources for the dialog - */ -export const getFilteredSources = (connector: Connector, sourceFilter: string) => { - if (!sourceFilter.trim()) { - return connector.sources; - } - - const filter = sourceFilter.toLowerCase().trim(); - return connector.sources?.filter( - (source) => - source.title.toLowerCase().includes(filter) || - source.description.toLowerCase().includes(filter) - ); -}; - -/** - * Function to get paginated and filtered sources for the dialog - */ -export const getPaginatedDialogSources = ( - connector: Connector, - sourceFilter: string, - expandedSources: boolean, - sourcesPage: number, - sourcesPerPage: number -) => { - const filteredSources = getFilteredSources(connector, sourceFilter); - - if (expandedSources) { - return filteredSources; - } - return filteredSources?.slice(0, sourcesPage * sourcesPerPage); -}; - -/** - * Function to get the count of sources for a connector type - */ -export const getSourcesCount = (connectorSources: Connector[], connectorType: string) => { - const connector = connectorSources.find((c) => c.type === connectorType); - return connector?.sources?.length || 0; -}; - -/** - * Function to get a citation source by ID - */ -export const getCitationSource = ( - citationId: number, - connectorSources: Connector[] -): Source | null => { - for (const connector of connectorSources) { - const source = connector.sources?.find((s) => s.id === citationId); - if (source) { - return { - ...source, - connectorType: connector.type, - }; - } - } - return null; -}; diff --git a/surfsense_web/components/chat/index.ts b/surfsense_web/components/chat/index.ts deleted file mode 100644 index 74bd5eea0..000000000 --- a/surfsense_web/components/chat/index.ts +++ /dev/null @@ -1,9 +0,0 @@ -// Export all components and utilities from the chat folder - -export * from "./Citation"; -export * from "./CodeBlock"; -export * from "./ConnectorComponents"; -export * from "./ScrollUtils"; -export { default as SegmentedControl } from "./SegmentedControl"; -export * from "./SourceUtils"; -export * from "./types"; diff --git a/surfsense_web/components/chat/types.ts b/surfsense_web/components/chat/types.ts deleted file mode 100644 index 8e4e1e295..000000000 --- a/surfsense_web/components/chat/types.ts +++ /dev/null @@ -1,50 +0,0 @@ -/** - * Types for chat components - */ - -export type Source = { - id: number; - title: string; - description: string; - url: string; - connectorType?: string; -}; - -export type Connector = { - id: number; - type: string; - name: string; - sources?: Source[]; -}; - -export type StatusMessage = { - id: number; - message: string; - type: "info" | "success" | "error" | "warning"; - timestamp: string; -}; - -export type ChatMessage = { - id: string; - role: "user" | "assistant"; - content: string; - timestamp?: string; -}; - -// Define message types to match useChat() structure -export type MessageRole = "user" | "assistant" | "system" | "data"; - -export interface ToolInvocation { - state: "call" | "result"; - toolCallId: string; - toolName: string; - args: any; - result?: any; -} - -export interface ToolInvocationUIPart { - type: "tool-invocation"; - toolInvocation: ToolInvocation; -} - -export type ResearchMode = "QNA"; diff --git a/surfsense_web/components/dashboard-breadcrumb.tsx b/surfsense_web/components/dashboard-breadcrumb.tsx index e2115a002..df1021762 100644 --- a/surfsense_web/components/dashboard-breadcrumb.tsx +++ b/surfsense_web/components/dashboard-breadcrumb.tsx @@ -1,11 +1,9 @@ "use client"; import { useQuery } from "@tanstack/react-query"; -import { useAtomValue } from "jotai"; import { usePathname } from "next/navigation"; import { useTranslations } from "next-intl"; import React, { useEffect, useState } from "react"; -import { activeChatAtom } from "@/atoms/chats/chat-query.atoms"; import { Breadcrumb, BreadcrumbItem, @@ -26,7 +24,6 @@ interface BreadcrumbItemInterface { export function DashboardBreadcrumb() { const t = useTranslations("breadcrumb"); const pathname = usePathname(); - const { data: activeChatState } = useAtomValue(activeChatAtom); // Extract search space ID and chat ID from pathname const segments = pathname.split("/").filter(Boolean); const searchSpaceId = segments[0] === "dashboard" && segments[1] ? segments[1] : null; @@ -98,13 +95,11 @@ export function DashboardBreadcrumb() { // Map section names to more readable labels const sectionLabels: Record = { - researcher: t("researcher"), + "new-chat": t("chat") || "Chat", documents: t("documents"), connectors: t("connectors"), sources: "Sources", - podcasts: t("podcasts"), logs: t("logs"), - chats: t("chats"), settings: t("settings"), editor: t("editor"), }; @@ -169,15 +164,15 @@ export function DashboardBreadcrumb() { return breadcrumbs; } - // Handle researcher sub-sections (chat IDs) - if (section === "researcher") { - // Use the actual chat title if available, otherwise fall back to the ID - const chatLabel = activeChatState?.chatDetails?.title || subSection; + // Handle new-chat sub-sections (thread IDs) + if (section === "new-chat") { breadcrumbs.push({ - label: t("researcher"), - href: `/dashboard/${segments[1]}/researcher`, + label: t("chat") || "Chat", + href: `/dashboard/${segments[1]}/new-chat`, }); - breadcrumbs.push({ label: chatLabel }); + if (subSection) { + breadcrumbs.push({ label: `Thread ${subSection}` }); + } return breadcrumbs; } diff --git a/surfsense_web/components/tool-ui/generate-podcast.tsx b/surfsense_web/components/tool-ui/generate-podcast.tsx index 9f7248082..669b11a57 100644 --- a/surfsense_web/components/tool-ui/generate-podcast.tsx +++ b/surfsense_web/components/tool-ui/generate-podcast.tsx @@ -4,9 +4,8 @@ import { makeAssistantToolUI } from "@assistant-ui/react"; import { AlertCircleIcon, Loader2Icon, MicIcon } from "lucide-react"; import { useCallback, useEffect, useRef, useState } from "react"; import { Audio } from "@/components/tool-ui/audio"; -import type { PodcastTranscriptEntry } from "@/contracts/types/podcast.types"; import { baseApiService } from "@/lib/apis/base-api.service"; -import { podcastsApiService } from "@/lib/apis/podcasts-api.service"; +import { authenticatedFetch } from "@/lib/auth-utils"; import { clearActivePodcastTaskId, setActivePodcastTaskId } from "@/lib/chat/podcast-state"; /** @@ -113,6 +112,14 @@ function AudioLoadingState({ title }: { title: string }) { /** * Podcast Player Component - Fetches audio and transcript with authentication */ +/** + * Transcript entry type for podcast transcripts + */ +interface PodcastTranscriptEntry { + speaker_id: number; + dialog: string; +} + function PodcastPlayer({ podcastId, title, @@ -156,14 +163,22 @@ function PodcastPlayer({ try { // Fetch audio blob and podcast details in parallel - const [audioBlob, podcastDetails] = await Promise.all([ - podcastsApiService.loadPodcast({ - request: { id: podcastId }, - controller, - }), - podcastsApiService.getPodcastById(podcastId), + const [audioResponse, podcastDetails] = await Promise.all([ + authenticatedFetch( + `${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/podcasts/${podcastId}/audio`, + { method: "GET", signal: controller.signal } + ), + baseApiService.get<{ podcast_transcript?: PodcastTranscriptEntry[] }>( + `/api/v1/podcasts/${podcastId}` + ), ]); + if (!audioResponse.ok) { + throw new Error(`Failed to load audio: ${audioResponse.status}`); + } + + const audioBlob = await audioResponse.blob(); + // Create object URL from blob const objectUrl = URL.createObjectURL(audioBlob); objectUrlRef.current = objectUrl; diff --git a/surfsense_web/contracts/types/chat.types.ts b/surfsense_web/contracts/types/chat.types.ts deleted file mode 100644 index a8d9a7cd2..000000000 --- a/surfsense_web/contracts/types/chat.types.ts +++ /dev/null @@ -1,63 +0,0 @@ -import type { Message } from "@ai-sdk/react"; -import { z } from "zod"; -import { paginationQueryParams } from "."; - -export const chatTypeEnum = z.enum(["QNA"]); - -export const chatSummary = z.object({ - created_at: z.string(), - id: z.number(), - type: chatTypeEnum, - title: z.string(), - search_space_id: z.number(), - state_version: z.number(), -}); - -export const chatDetails = chatSummary.extend({ - initial_connectors: z.array(z.string()).nullable().optional(), - messages: z.array(z.any()), -}); - -export const getChatDetailsRequest = chatSummary.pick({ id: true }); - -export const getChatsRequest = z.object({ - queryParams: paginationQueryParams - .extend({ - search_space_id: z.number().or(z.string()).optional(), - }) - .nullish(), -}); - -export const searchChatsRequest = z.object({ - queryParams: paginationQueryParams.extend({ - title: z.string(), - search_space_id: z.number().or(z.string()).optional(), - }), -}); - -export const deleteChatResponse = z.object({ - message: z.literal("Chat deleted successfully"), -}); - -export const deleteChatRequest = chatSummary.pick({ id: true }); - -export const createChatRequest = chatDetails.omit({ - created_at: true, - id: true, - state_version: true, -}); - -export const updateChatRequest = chatDetails.omit({ - created_at: true, - state_version: true, -}); - -export type ChatSummary = z.infer; -export type ChatDetails = z.infer & { messages: Message[] }; -export type GetChatDetailsRequest = z.infer; -export type GetChatsRequest = z.infer; -export type SearchChatsRequest = z.infer; -export type DeleteChatResponse = z.infer; -export type DeleteChatRequest = z.infer; -export type CreateChatRequest = z.infer; -export type UpdateChatRequest = z.infer; diff --git a/surfsense_web/contracts/types/podcast.types.ts b/surfsense_web/contracts/types/podcast.types.ts deleted file mode 100644 index dc7c35ba4..000000000 --- a/surfsense_web/contracts/types/podcast.types.ts +++ /dev/null @@ -1,57 +0,0 @@ -import { z } from "zod"; -import { paginationQueryParams } from "."; - -export const podcastTranscriptEntry = z.object({ - speaker_id: z.number(), - dialog: z.string(), -}); - -export const podcast = z.object({ - id: z.number(), - title: z.string(), - created_at: z.string(), - file_location: z.string(), - podcast_transcript: z.array(podcastTranscriptEntry), - search_space_id: z.number(), - chat_state_version: z.number().nullable(), -}); - -export const generatePodcastRequest = z.object({ - type: z.enum(["CHAT", "DOCUMENT"]), - ids: z.array(z.number()), - search_space_id: z.number(), - podcast_title: z.string().optional(), - user_prompt: z.string().optional(), -}); - -export const getPodcastByChatIdRequest = z.object({ - chat_id: z.number(), -}); - -export const getPodcastByChaIdResponse = podcast.nullish(); - -export const deletePodcastRequest = z.object({ - id: z.number(), -}); - -export const deletePodcastResponse = z.object({ - message: z.literal("Podcast deleted successfully"), -}); - -export const loadPodcastRequest = z.object({ - id: z.number(), -}); - -export const getPodcastsRequest = z.object({ - queryParams: paginationQueryParams.nullish(), -}); - -export type PodcastTranscriptEntry = z.infer; -export type GeneratePodcastRequest = z.infer; -export type GetPodcastByChatIdRequest = z.infer; -export type GetPodcastByChatIdResponse = z.infer; -export type DeletePodcastRequest = z.infer; -export type DeletePodcastResponse = z.infer; -export type LoadPodcastRequest = z.infer; -export type Podcast = z.infer; -export type GetPodcastsRequest = z.infer; diff --git a/surfsense_web/lib/apis/chats-api.service.ts b/surfsense_web/lib/apis/chats-api.service.ts deleted file mode 100644 index 2ca253ea7..000000000 --- a/surfsense_web/lib/apis/chats-api.service.ts +++ /dev/null @@ -1,154 +0,0 @@ -import { z } from "zod"; -import { - type CreateChatRequest, - chatDetails, - chatSummary, - createChatRequest, - type DeleteChatRequest, - deleteChatRequest, - deleteChatResponse, - type GetChatDetailsRequest, - type GetChatsRequest, - getChatDetailsRequest, - getChatsRequest, - type SearchChatsRequest, - searchChatsRequest, - type UpdateChatRequest, - updateChatRequest, -} from "@/contracts/types/chat.types"; -import { ValidationError } from "../error"; -import { baseApiService } from "./base-api.service"; - -class ChatApiService { - getChatDetails = async (request: GetChatDetailsRequest) => { - // Validate the request - const parsedRequest = getChatDetailsRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - return baseApiService.get(`/api/v1/chats/${request.id}`, chatDetails); - }; - - getChats = async (request: GetChatsRequest) => { - // Validate the request - const parsedRequest = getChatsRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - // Transform queries params to be string values - const transformedQueryParams = parsedRequest.data.queryParams - ? Object.fromEntries( - Object.entries(parsedRequest.data.queryParams).map(([k, v]) => [k, String(v)]) - ) - : undefined; - - const queryParams = transformedQueryParams - ? new URLSearchParams(transformedQueryParams).toString() - : undefined; - - return baseApiService.get(`/api/v1/chats?${queryParams}`, z.array(chatSummary)); - }; - - searchChats = async (request: SearchChatsRequest) => { - // Validate the request - const parsedRequest = searchChatsRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - // Transform queries params to be string values - const transformedQueryParams = Object.fromEntries( - Object.entries(parsedRequest.data.queryParams).map(([k, v]) => [k, String(v)]) - ); - - const queryParams = new URLSearchParams(transformedQueryParams).toString(); - - return baseApiService.get(`/api/v1/chats/search?${queryParams}`, z.array(chatSummary)); - }; - - deleteChat = async (request: DeleteChatRequest) => { - // Validate the request - const parsedRequest = deleteChatRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - return baseApiService.delete(`/api/v1/chats/${request.id}`, deleteChatResponse); - }; - - createChat = async (request: CreateChatRequest) => { - // Validate the request - const parsedRequest = createChatRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - return baseApiService.post( - `/api/v1/chats`, - - chatSummary, - { - body: parsedRequest.data, - } - ); - }; - - updateChat = async (request: UpdateChatRequest) => { - // Validate the request - const parsedRequest = updateChatRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - const { type, title, initial_connectors, messages, search_space_id, id } = parsedRequest.data; - - return baseApiService.put( - `/api/v1/chats/${id}`, - - chatSummary, - { - body: { - type, - title, - initial_connectors, - messages, - search_space_id, - }, - } - ); - }; -} - -export const chatsApiService = new ChatApiService(); diff --git a/surfsense_web/lib/apis/podcasts-api.service.ts b/surfsense_web/lib/apis/podcasts-api.service.ts deleted file mode 100644 index 0defff7d4..000000000 --- a/surfsense_web/lib/apis/podcasts-api.service.ts +++ /dev/null @@ -1,128 +0,0 @@ -import z from "zod"; -import { - type DeletePodcastRequest, - deletePodcastRequest, - deletePodcastResponse, - type GeneratePodcastRequest, - type GetPodcastByChatIdRequest, - type GetPodcastsRequest, - generatePodcastRequest, - getPodcastByChaIdResponse, - getPodcastByChatIdRequest, - getPodcastsRequest, - type LoadPodcastRequest, - loadPodcastRequest, - podcast, -} from "@/contracts/types/podcast.types"; -import { ValidationError } from "../error"; -import { baseApiService } from "./base-api.service"; - -class PodcastsApiService { - getPodcasts = async (request: GetPodcastsRequest) => { - // Validate the request - const parsedRequest = getPodcastsRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - // Transform queries params to be string values - const transformedQueryParams = parsedRequest.data.queryParams - ? Object.fromEntries( - Object.entries(parsedRequest.data.queryParams).map(([k, v]) => [k, String(v)]) - ) - : undefined; - - const queryParams = transformedQueryParams - ? new URLSearchParams(transformedQueryParams).toString() - : undefined; - - return baseApiService.get(`/api/v1/podcasts?${queryParams}`, z.array(podcast)); - }; - - getPodcastByChatId = async (request: GetPodcastByChatIdRequest) => { - // Validate the request - const parsedRequest = getPodcastByChatIdRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - return baseApiService.get( - `/api/v1/podcasts/by-chat/${request.chat_id}`, - getPodcastByChaIdResponse - ); - }; - - /** - * Get a podcast by its ID (includes full transcript) - */ - getPodcastById = async (podcastId: number) => { - return baseApiService.get(`/api/v1/podcasts/${podcastId}`, podcast); - }; - - generatePodcast = async (request: GeneratePodcastRequest) => { - // Validate the request - const parsedRequest = generatePodcastRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - return baseApiService.post(`/api/v1/podcasts/generate`, undefined, { - body: parsedRequest.data, - }); - }; - - loadPodcast = async ({ - request, - controller, - }: { - request: LoadPodcastRequest; - controller?: AbortController; - }) => { - // Validate the request - const parsedRequest = loadPodcastRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - return await baseApiService.getBlob(`/api/v1/podcasts/${request.id}/stream`, { - signal: controller?.signal, - }); - }; - - deletePodcast = async (request: DeletePodcastRequest) => { - // Validate the request - const parsedRequest = deletePodcastRequest.safeParse(request); - - if (!parsedRequest.success) { - console.error("Invalid request:", parsedRequest.error); - - // Format a user frendly error message - const errorMessage = parsedRequest.error.issues.map((issue) => issue.message).join(", "); - throw new ValidationError(`Invalid request: ${errorMessage}`); - } - - return baseApiService.delete(`/api/v1/podcasts/${request.id}`, deletePodcastResponse); - }; -} - -export const podcastsApiService = new PodcastsApiService(); diff --git a/surfsense_web/lib/chat/attachment-adapter.ts b/surfsense_web/lib/chat/attachment-adapter.ts new file mode 100644 index 000000000..c53ca00e8 --- /dev/null +++ b/surfsense_web/lib/chat/attachment-adapter.ts @@ -0,0 +1,304 @@ +/** + * Attachment adapter for assistant-ui + * + * This adapter handles file uploads by: + * 1. Uploading the file to the backend /attachments/process endpoint + * 2. The backend extracts markdown content using the configured ETL service + * 3. The extracted content is stored in the attachment and sent with messages + */ + +import type { AttachmentAdapter, CompleteAttachment, PendingAttachment } from "@assistant-ui/react"; +import { getBearerToken } from "@/lib/auth-utils"; + +/** + * Supported file types for the attachment adapter + * + * - Text/Markdown: .md, .markdown, .txt + * - Audio (if STT configured): .mp3, .mp4, .mpeg, .mpga, .m4a, .wav, .webm + * - Documents (depends on ETL service): .pdf, .docx, .doc, .pptx, .xlsx, .html + * - Images: .jpg, .jpeg, .png, .gif, .webp + */ +const ACCEPTED_FILE_TYPES = [ + // Text/Markdown (always supported) + ".md", + ".markdown", + ".txt", + // Audio files + ".mp3", + ".mp4", + ".mpeg", + ".mpga", + ".m4a", + ".wav", + ".webm", + // Document files (depends on ETL service) + ".pdf", + ".docx", + ".doc", + ".pptx", + ".xlsx", + ".html", + // Image files + ".jpg", + ".jpeg", + ".png", + ".gif", + ".webp", +].join(","); + +/** + * Response from the attachment processing endpoint + */ +interface ProcessAttachmentResponse { + id: string; + name: string; + type: "document" | "image" | "file"; + content: string; + contentLength: number; +} + +/** + * Extended CompleteAttachment with our custom extractedContent field + * We store the extracted text in a custom field so we can access it in onNew + */ +export interface ChatAttachment extends CompleteAttachment { + extractedContent: string; +} + +/** + * Process a file through the backend ETL service + */ +async function processAttachment(file: File): Promise { + const token = getBearerToken(); + if (!token) { + throw new Error("Not authenticated"); + } + + const backendUrl = process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL || "http://localhost:8000"; + + const formData = new FormData(); + formData.append("file", file); + + const response = await fetch(`${backendUrl}/api/v1/attachments/process`, { + method: "POST", + headers: { + Authorization: `Bearer ${token}`, + }, + body: formData, + }); + + if (!response.ok) { + const errorText = await response.text(); + console.error("[processAttachment] Error response:", errorText); + let errorDetail = "Unknown error"; + try { + const errorJson = JSON.parse(errorText); + // FastAPI validation errors return detail as array + if (Array.isArray(errorJson.detail)) { + errorDetail = errorJson.detail + .map((err: { msg?: string; loc?: string[] }) => { + const field = err.loc?.join(".") || "unknown"; + return `${field}: ${err.msg || "validation error"}`; + }) + .join("; "); + } else if (typeof errorJson.detail === "string") { + errorDetail = errorJson.detail; + } else { + errorDetail = JSON.stringify(errorJson); + } + } catch { + errorDetail = errorText || `HTTP ${response.status}`; + } + throw new Error(errorDetail); + } + + return response.json(); +} + +// Store processed results for the send() method +const processedAttachments = new Map(); + +/** + * Create the attachment adapter for assistant-ui + * + * This adapter: + * 1. Accepts file upload + * 2. Processes the file through the backend ETL service + * 3. Returns the attachment with extracted markdown content + * + * The content is stored in the attachment and will be sent with the message. + */ +export function createAttachmentAdapter(): AttachmentAdapter { + return { + accept: ACCEPTED_FILE_TYPES, + + /** + * Async generator that yields pending states while processing + * and returns a pending attachment when done. + * + * IMPORTANT: The generator should return status: { type: "running", progress: 100 } + * NOT status: { type: "complete" }. The "complete" status is set by send(). + * Returning "complete" from the generator will prevent send() from being called! + * + * This pattern allows the UI to show a loading indicator + * while the file is being processed by the backend. + * The send() method is called to finalize the attachment. + */ + async *add(input: File | { file: File }): AsyncGenerator { + // Handle both direct File and { file: File } patterns + const file = input instanceof File ? input : input.file; + + if (!file) { + console.error("[AttachmentAdapter] No file found in input:", input); + throw new Error("No file provided"); + } + + console.log("[AttachmentAdapter] Processing file:", file.name); + + // Generate a unique ID for this attachment + const id = crypto.randomUUID(); + + // Determine attachment type from file + const attachmentType = file.type.startsWith("image/") ? "image" : "document"; + + // Yield initial pending state with "running" status (0% progress) + // This triggers the loading indicator in the UI + yield { + id, + type: attachmentType, + name: file.name, + file, + status: { type: "running", reason: "uploading", progress: 0 }, + } as PendingAttachment; + + try { + // Process the file through the backend ETL service + const result = await processAttachment(file); + + console.log( + "[AttachmentAdapter] File processed:", + result.name, + "content length:", + result.contentLength + ); + + // Verify we have the required fields + if (!result.content) { + console.error("[AttachmentAdapter] WARNING: No content received from backend!"); + } + + // Store the processed result for send() + processedAttachments.set(id, result); + + // Create the final pending attachment + // IMPORTANT: Use "running" status with progress: 100 to indicate processing is done + // but attachment is still pending. The "complete" status will be set by send(). + // Yield the final state to ensure it gets processed by the UI + yield { + id, + type: result.type, + name: result.name, + file, + status: { type: "running", reason: "uploading", progress: 100 }, + } as PendingAttachment; + } catch (error) { + console.error("[AttachmentAdapter] Failed to process attachment:", error); + throw error; + } + }, + + /** + * Called when user sends the message. + * Converts the pending attachment to a complete attachment. + */ + async send(pendingAttachment: PendingAttachment): Promise { + const result = processedAttachments.get(pendingAttachment.id); + + if (result) { + // Clean up stored result + processedAttachments.delete(pendingAttachment.id); + + return { + id: result.id, + type: result.type, + name: result.name, + contentType: "text/markdown", + status: { type: "complete" }, + content: [ + { + type: "text", + text: result.content, + }, + ], + extractedContent: result.content, + }; + } + + // Fallback if no processed result found + console.warn( + "[AttachmentAdapter] send() - No processed result found for attachment:", + pendingAttachment.id + ); + return { + id: pendingAttachment.id, + type: pendingAttachment.type, + name: pendingAttachment.name, + contentType: "text/plain", + status: { type: "complete" }, + content: [], + extractedContent: "", + }; + }, + + async remove() { + // No server-side cleanup needed since we don't persist attachments + }, + }; +} + +/** + * Extract attachment content for chat request + * + * This function extracts the content from attachments to be sent with the chat request. + * Only attachments that have been fully processed (have content) will be included. + */ +export function extractAttachmentContent( + attachments: Array +): Array<{ id: string; name: string; type: string; content: string }> { + return attachments + .filter((att): att is ChatAttachment => { + if (!att || typeof att !== "object") return false; + const a = att as Record; + // Check for our custom extractedContent field first + if (typeof a.extractedContent === "string" && a.extractedContent.length > 0) { + return true; + } + // Fallback: check if content array has text content + if (Array.isArray(a.content)) { + const textContent = (a.content as Array<{ type: string; text?: string }>).find( + (c) => c.type === "text" && typeof c.text === "string" && c.text.length > 0 + ); + return Boolean(textContent); + } + return false; + }) + .map((att) => { + // Get content from extractedContent or from content array + let content = ""; + if (typeof att.extractedContent === "string") { + content = att.extractedContent; + } else if (Array.isArray(att.content)) { + const textContent = (att.content as Array<{ type: string; text?: string }>).find( + (c) => c.type === "text" + ); + content = textContent?.text || ""; + } + + return { + id: att.id, + name: att.name, + type: att.type, + content, + }; + }); +} diff --git a/surfsense_web/lib/query-client/cache-keys.ts b/surfsense_web/lib/query-client/cache-keys.ts index 7eae21e05..e13f3cf79 100644 --- a/surfsense_web/lib/query-client/cache-keys.ts +++ b/surfsense_web/lib/query-client/cache-keys.ts @@ -1,27 +1,14 @@ -import type { GetChatsRequest } from "@/contracts/types/chat.types"; import type { GetDocumentsRequest } from "@/contracts/types/document.types"; import type { GetLLMConfigsRequest } from "@/contracts/types/llm-config.types"; -import type { GetMembersRequest } from "@/contracts/types/members.types"; -import type { GetPodcastsRequest } from "@/contracts/types/podcast.types"; -import type { GetRolesRequest } from "@/contracts/types/roles.types"; import type { GetSearchSpacesRequest } from "@/contracts/types/search-space.types"; export const cacheKeys = { - chats: { - activeChat: (chatId: string) => ["active-chat", chatId] as const, - globalQueryParams: (queries: GetChatsRequest["queryParams"]) => - [ - "chats", - queries?.search_space_id, - queries?.limit, - queries?.skip, - queries?.page, - queries?.page_size, - ] as const, - }, - podcasts: { - globalQueryParams: (queries: GetPodcastsRequest["queryParams"]) => - ["podcasts", ...(queries ? Object.values(queries) : [])] as const, + // New chat threads (assistant-ui) + threads: { + list: (searchSpaceId: number) => ["threads", searchSpaceId] as const, + detail: (threadId: number) => ["threads", "detail", threadId] as const, + search: (searchSpaceId: number, query: string) => + ["threads", "search", searchSpaceId, query] as const, }, documents: { globalQueryParams: (queries: GetDocumentsRequest["queryParams"]) => diff --git a/surfsense_web/messages/en.json b/surfsense_web/messages/en.json index 63ade6802..eac362b9c 100644 --- a/surfsense_web/messages/en.json +++ b/surfsense_web/messages/en.json @@ -83,7 +83,7 @@ "documents": "Documents", "connectors": "Connectors", "settings": "Settings", - "researcher": "Researcher", + "chat": "Chat", "api_keys": "API Keys", "profile": "Profile", "loading_dashboard": "Loading Dashboard", @@ -117,7 +117,7 @@ "try_again": "Try Again", "go_home": "Go Home", "delete_search_space": "Delete Search Space", - "delete_space_confirm": "Are you sure you want to delete \"{name}\"? This action cannot be undone. All documents, chats, and podcasts in this search space will be permanently deleted.", + "delete_space_confirm": "Are you sure you want to delete \"{name}\"? This action cannot be undone. All documents and chats in this search space will be permanently deleted.", "no_spaces_found": "No search spaces found", "create_first_space": "Create your first search space to get started", "created": "Created" @@ -136,7 +136,7 @@ "nav_menu": { "settings": "Settings", "platform": "Platform", - "researcher": "Researcher", + "chat": "Chat", "manage_llms": "Manage LLMs", "sources": "Sources", "add_sources": "Add Sources", @@ -149,10 +149,8 @@ "connectors": "Connectors", "add_connector": "Add Connector", "manage_connectors": "Manage Connectors", - "podcasts": "Podcasts", "logs": "Logs", "all_search_spaces": "All Search Spaces", - "chat": "Chat", "team": "Team" }, "pricing": { @@ -209,40 +207,6 @@ "try_again_later": "Please try again later.", "something_wrong": "Something went wrong" }, - "researcher": { - "loading": "Loading...", - "select_documents": "Select Documents", - "select_documents_desc": "Choose documents to include in your research context", - "loading_documents": "Loading documents...", - "select_connectors": "Select Connectors", - "select_connectors_desc": "Choose which data sources to include in your research", - "clear_all": "Clear All", - "select_all": "Select All", - "scope": "Scope", - "documents": "Documents", - "docs": "Docs", - "chunks": "Chunks", - "mode": "Mode", - "research_mode": "Research Mode", - "mode_qna": "Q&A", - "mode_general": "General Report", - "mode_general_short": "General", - "mode_deep": "Deep Report", - "mode_deep_short": "Deep", - "mode_deeper": "Deeper Report", - "mode_deeper_short": "Deeper", - "fast_llm": "Fast LLM", - "select_llm": "Select LLM", - "fast_llm_selection": "Fast LLM Selection", - "no_llm_configs": "No LLM configurations", - "configure_llm_to_start": "Configure AI models to get started", - "open_settings": "Open Settings", - "start_surfing": "Let's Start Surfing", - "through_knowledge_base": "through your knowledge base.", - "all_connectors": "All Connectors", - "connectors_selected": "{count} Connectors", - "placeholder": "Ask me anything..." - }, "connectors": { "title": "Connectors", "subtitle": "Manage your connected services and data sources.", @@ -468,27 +432,6 @@ "progress": "Progress", "roles_assigned_count": "{assigned} of {total} roles assigned" }, - "podcasts": { - "title": "Podcasts", - "subtitle": "Listen to generated podcasts.", - "search_placeholder": "Search podcasts...", - "sort_order": "Sort order", - "newest_first": "Newest First", - "oldest_first": "Oldest First", - "loading": "Loading podcasts...", - "error_loading": "Error loading podcasts", - "no_podcasts": "No podcasts found", - "adjust_filters": "Try adjusting your search filters", - "generate_hint": "Generate podcasts from your chats to get started", - "loading_podcast": "Loading podcast...", - "now_playing": "Now Playing", - "delete_podcast": "Delete Podcast", - "delete_confirm_1": "Are you sure you want to delete", - "delete_confirm_2": "This action cannot be undone.", - "cancel": "Cancel", - "delete": "Delete", - "deleting": "Deleting..." - }, "logs": { "title": "Task Logs", "subtitle": "Monitor and analyze all task execution logs", @@ -622,13 +565,11 @@ "breadcrumb": { "dashboard": "Dashboard", "search_space": "Search Space", - "researcher": "Researcher", + "chat": "Chat", "documents": "Documents", "connectors": "Connectors", - "podcasts": "Podcasts", "editor": "Editor", "logs": "Logs", - "chats": "Chats", "settings": "Settings", "upload_documents": "Upload Documents", "add_youtube": "Add YouTube Videos", @@ -647,7 +588,7 @@ "all_chats": "All Chats", "all_chats_description": "Browse and manage all your chats", "no_chats": "No chats yet", - "start_new_chat_hint": "Start a new chat from the researcher", + "start_new_chat_hint": "Start a new chat", "error_loading_chats": "Error loading chats", "chat_deleted": "Chat deleted successfully", "error_deleting_chat": "Failed to delete chat", diff --git a/surfsense_web/messages/zh.json b/surfsense_web/messages/zh.json index d33354e06..b943a3c2c 100644 --- a/surfsense_web/messages/zh.json +++ b/surfsense_web/messages/zh.json @@ -83,7 +83,7 @@ "documents": "文档", "connectors": "连接器", "settings": "设置", - "researcher": "AI 研究", + "chat": "聊天", "api_keys": "API 密钥", "profile": "个人资料", "loading_dashboard": "正在加载仪表盘", @@ -136,7 +136,7 @@ "nav_menu": { "settings": "设置", "platform": "平台", - "researcher": "AI 研究", + "chat": "聊天", "manage_llms": "管理 LLM", "sources": "数据源", "add_sources": "添加数据源", @@ -149,10 +149,8 @@ "connectors": "连接器", "add_connector": "添加连接器", "manage_connectors": "管理连接器", - "podcasts": "播客", "logs": "日志", "all_search_spaces": "所有搜索空间", - "chat": "聊天", "team": "团队" }, "pricing": { @@ -209,40 +207,6 @@ "try_again_later": "请稍后重试。", "something_wrong": "出错了" }, - "researcher": { - "loading": "加载中...", - "select_documents": "选择文档", - "select_documents_desc": "选择要包含在研究上下文中的文档", - "loading_documents": "正在加载文档...", - "select_connectors": "选择连接器", - "select_connectors_desc": "选择要包含在研究中的数据源", - "clear_all": "全部清除", - "select_all": "全部选择", - "scope": "范围", - "documents": "文档", - "docs": "文档", - "chunks": "块", - "mode": "模式", - "research_mode": "研究模式", - "mode_qna": "问答", - "mode_general": "通用报告", - "mode_general_short": "通用", - "mode_deep": "深度报告", - "mode_deep_short": "深度", - "mode_deeper": "更深度报告", - "mode_deeper_short": "更深", - "fast_llm": "快速 LLM", - "select_llm": "选择 LLM", - "fast_llm_selection": "快速 LLM 选择", - "no_llm_configs": "未配置 LLM", - "configure_llm_to_start": "配置 AI 模型以开始使用", - "open_settings": "打开设置", - "start_surfing": "开始探索", - "through_knowledge_base": "您的知识库。", - "all_connectors": "所有连接器", - "connectors_selected": "{count} 个连接器", - "placeholder": "问我任何问题..." - }, "connectors": { "title": "连接器", "subtitle": "管理您的已连接服务和数据源。", @@ -468,27 +432,6 @@ "progress": "进度", "roles_assigned_count": "{assigned} / {total} 个角色已分配" }, - "podcasts": { - "title": "播客", - "subtitle": "收听生成的播客。", - "search_placeholder": "搜索播客...", - "sort_order": "排序方式", - "newest_first": "最新优先", - "oldest_first": "最旧优先", - "loading": "正在加载播客...", - "error_loading": "加载播客时出错", - "no_podcasts": "未找到播客", - "adjust_filters": "尝试调整搜索条件", - "generate_hint": "从您的聊天中生成播客以开始使用", - "loading_podcast": "正在加载播客...", - "now_playing": "正在播放", - "delete_podcast": "删除播客", - "delete_confirm_1": "您确定要删除", - "delete_confirm_2": "此操作无法撤销。", - "cancel": "取消", - "delete": "删除", - "deleting": "删除中..." - }, "logs": { "title": "任务日志", "subtitle": "监控和分析所有任务执行日志", @@ -622,13 +565,11 @@ "breadcrumb": { "dashboard": "仪表盘", "search_space": "搜索空间", - "researcher": "AI 研究", + "chat": "聊天", "documents": "文档", "connectors": "连接器", - "podcasts": "播客", "editor": "编辑器", "logs": "日志", - "chats": "聊天", "settings": "设置", "upload_documents": "上传文档", "add_youtube": "添加 YouTube 视频", @@ -647,7 +588,7 @@ "all_chats": "所有对话", "all_chats_description": "浏览和管理您的所有对话", "no_chats": "暂无对话", - "start_new_chat_hint": "从研究员开始新对话", + "start_new_chat_hint": "开始新对话", "error_loading_chats": "加载对话时出错", "chat_deleted": "对话删除成功", "error_deleting_chat": "删除对话失败", diff --git a/surfsense_web/package.json b/surfsense_web/package.json index 719811c54..df0628981 100644 --- a/surfsense_web/package.json +++ b/surfsense_web/package.json @@ -30,7 +30,6 @@ "@blocknote/react": "^0.45.0", "@blocknote/server-util": "^0.45.0", "@hookform/resolvers": "^5.2.2", - "@llamaindex/chat-ui": "^0.5.17", "@next/third-parties": "^16.1.0", "@number-flow/react": "^0.5.10", "@radix-ui/react-accordion": "^1.2.11", diff --git a/surfsense_web/pnpm-lock.yaml b/surfsense_web/pnpm-lock.yaml index a6b34ef59..8a48fc666 100644 --- a/surfsense_web/pnpm-lock.yaml +++ b/surfsense_web/pnpm-lock.yaml @@ -35,9 +35,6 @@ importers: '@hookform/resolvers': specifier: ^5.2.2 version: 5.2.2(react-hook-form@7.69.0(react@19.2.3)) - 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- yjs - - '@mdxeditor/gurx@1.2.4(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': - dependencies: - react: 19.2.3 - react-dom: 19.2.3(react@19.2.3) - '@mermaid-js/parser@0.6.3': dependencies: langium: 3.3.1 @@ -8910,8 +7287,6 @@ snapshots: react: 19.2.3 react-dom: 19.2.3(react@19.2.3) - '@open-draft/deferred-promise@2.2.0': {} - '@opentelemetry/api@1.9.0': {} '@orama/orama@3.1.18': {} @@ -8976,8 +7351,6 @@ snapshots: '@parcel/watcher-win32-ia32': 2.5.1 '@parcel/watcher-win32-x64': 2.5.1 - '@radix-ui/colors@3.0.0': {} - '@radix-ui/number@1.1.1': {} '@radix-ui/primitive@1.0.0': @@ -9305,27 +7678,6 @@ snapshots: '@types/react': 19.2.7 '@types/react-dom': 19.2.3(@types/react@19.2.7) - '@radix-ui/react-hover-card@1.1.15(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': - dependencies: - '@radix-ui/primitive': 1.1.3 - '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.2.7)(react@19.2.3) - '@radix-ui/react-context': 1.1.2(@types/react@19.2.7)(react@19.2.3) - '@radix-ui/react-dismissable-layer': 1.1.11(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-popper': 1.2.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-portal': 1.1.9(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-presence': 1.1.5(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.2.7)(react@19.2.3) - react: 19.2.3 - react-dom: 19.2.3(react@19.2.3) - optionalDependencies: - '@types/react': 19.2.7 - '@types/react-dom': 19.2.3(@types/react@19.2.7) - - '@radix-ui/react-icons@1.3.2(react@19.2.3)': - dependencies: - react: 19.2.3 - '@radix-ui/react-id@1.0.0(react@19.2.3)': dependencies: '@babel/runtime': 7.28.4 @@ -9536,16 +7888,6 @@ snapshots: '@types/react': 19.2.7 '@types/react-dom': 19.2.3(@types/react@19.2.7) - '@radix-ui/react-progress@1.1.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': - dependencies: - '@radix-ui/react-context': 1.1.3(@types/react@19.2.7)(react@19.2.3) - '@radix-ui/react-primitive': 2.1.4(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - react: 19.2.3 - react-dom: 19.2.3(react@19.2.3) - optionalDependencies: - '@types/react': 19.2.7 - '@types/react-dom': 19.2.3(@types/react@19.2.7) - '@radix-ui/react-radio-group@1.3.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@radix-ui/primitive': 1.1.3 @@ -9627,15 +7969,6 @@ snapshots: '@types/react': 19.2.7 '@types/react-dom': 19.2.3(@types/react@19.2.7) - '@radix-ui/react-separator@1.1.7(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': - dependencies: - '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - react: 19.2.3 - react-dom: 19.2.3(react@19.2.3) - optionalDependencies: - '@types/react': 19.2.7 - '@types/react-dom': 19.2.3(@types/react@19.2.7) - '@radix-ui/react-separator@1.1.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@radix-ui/react-primitive': 2.1.4(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -9749,21 +8082,6 @@ snapshots: '@types/react': 19.2.7 '@types/react-dom': 19.2.3(@types/react@19.2.7) - '@radix-ui/react-toolbar@1.1.11(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': - dependencies: - '@radix-ui/primitive': 1.1.3 - '@radix-ui/react-context': 1.1.2(@types/react@19.2.7)(react@19.2.3) - '@radix-ui/react-direction': 1.1.1(@types/react@19.2.7)(react@19.2.3) - '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-roving-focus': 1.1.11(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-separator': 1.1.7(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - '@radix-ui/react-toggle-group': 1.1.11(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - react: 19.2.3 - react-dom: 19.2.3(react@19.2.3) - optionalDependencies: - '@types/react': 19.2.7 - '@types/react-dom': 19.2.3(@types/react@19.2.7) - '@radix-ui/react-tooltip@1.2.8(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': dependencies: '@radix-ui/primitive': 1.1.3 @@ -9908,16 +8226,6 @@ snapshots: '@radix-ui/rect@1.1.1': {} - '@react-hook/intersection-observer@3.1.2(react@19.2.3)': - dependencies: - '@react-hook/passive-layout-effect': 1.2.1(react@19.2.3) - intersection-observer: 0.10.0 - react: 19.2.3 - - '@react-hook/passive-layout-effect@1.2.1(react@19.2.3)': - dependencies: - react: 19.2.3 - '@remirror/core-constants@3.0.0': {} '@rtsao/scc@1.1.0': {} @@ -9977,8 +8285,6 @@ snapshots: '@standard-schema/utils@0.3.0': {} - '@stitches/core@1.2.8': {} - '@swc/core-darwin-arm64@1.15.7': optional: true @@ -10411,10 +8717,6 @@ snapshots: '@types/linkify-it': 5.0.0 '@types/mdurl': 2.0.0 - '@types/mdast@3.0.15': - dependencies: - '@types/unist': 2.0.11 - '@types/mdast@4.0.4': dependencies: '@types/unist': 3.0.3 @@ -10435,8 +8737,6 @@ snapshots: pg-protocol: 1.10.3 pg-types: 2.2.0 - '@types/prop-types@15.7.15': {} - '@types/react-dom@19.2.3(@types/react@19.2.7)': dependencies: '@types/react': 19.2.7 @@ -10551,47 +8851,6 @@ snapshots: '@typescript-eslint/types': 8.50.0 eslint-visitor-keys: 4.2.1 - '@uiw/codemirror-extensions-basic-setup@4.25.4(@codemirror/autocomplete@6.20.0)(@codemirror/commands@6.10.1)(@codemirror/language@6.11.3)(@codemirror/lint@6.9.2)(@codemirror/search@6.5.11)(@codemirror/state@6.5.2)(@codemirror/view@6.39.4)': - dependencies: - '@codemirror/autocomplete': 6.20.0 - '@codemirror/commands': 6.10.1 - '@codemirror/language': 6.11.3 - '@codemirror/lint': 6.9.2 - '@codemirror/search': 6.5.11 - '@codemirror/state': 6.5.2 - '@codemirror/view': 6.39.4 - - '@uiw/codemirror-theme-github@4.25.4(@codemirror/language@6.11.3)(@codemirror/state@6.5.2)(@codemirror/view@6.39.4)': - dependencies: - '@uiw/codemirror-themes': 4.25.4(@codemirror/language@6.11.3)(@codemirror/state@6.5.2)(@codemirror/view@6.39.4) - transitivePeerDependencies: - - '@codemirror/language' - - '@codemirror/state' - - '@codemirror/view' - - '@uiw/codemirror-themes@4.25.4(@codemirror/language@6.11.3)(@codemirror/state@6.5.2)(@codemirror/view@6.39.4)': - dependencies: - '@codemirror/language': 6.11.3 - '@codemirror/state': 6.5.2 - '@codemirror/view': 6.39.4 - - '@uiw/react-codemirror@4.25.4(@babel/runtime@7.28.4)(@codemirror/autocomplete@6.20.0)(@codemirror/language@6.11.3)(@codemirror/lint@6.9.2)(@codemirror/search@6.5.11)(@codemirror/state@6.5.2)(@codemirror/theme-one-dark@6.1.3)(@codemirror/view@6.39.4)(codemirror@6.0.2)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)': - dependencies: - '@babel/runtime': 7.28.4 - '@codemirror/commands': 6.10.1 - '@codemirror/state': 6.5.2 - '@codemirror/theme-one-dark': 6.1.3 - '@codemirror/view': 6.39.4 - '@uiw/codemirror-extensions-basic-setup': 4.25.4(@codemirror/autocomplete@6.20.0)(@codemirror/commands@6.10.1)(@codemirror/language@6.11.3)(@codemirror/lint@6.9.2)(@codemirror/search@6.5.11)(@codemirror/state@6.5.2)(@codemirror/view@6.39.4) - codemirror: 6.0.2 - react: 19.2.3 - react-dom: 19.2.3(react@19.2.3) - transitivePeerDependencies: - - '@codemirror/autocomplete' - - '@codemirror/language' - - '@codemirror/lint' - - '@codemirror/search' - '@ungap/structured-clone@1.3.0': {} '@unrs/resolver-binding-android-arm-eabi@1.11.1': @@ -10655,11 +8914,6 @@ snapshots: '@vercel/oidc@3.0.5': {} - '@wojtekmaj/react-hooks@1.17.2(react@19.2.3)': - dependencies: - '@types/react': 19.2.7 - react: 19.2.3 - acorn-jsx@5.3.2(acorn@8.15.0): dependencies: acorn: 8.15.0 @@ -10695,8 +8949,6 @@ snapshots: json-schema-traverse: 0.4.1 uri-js: 4.4.1 - anser@2.3.5: {} - ansi-styles@4.3.0: dependencies: color-convert: 2.0.1 @@ -10812,17 +9064,8 @@ snapshots: base16@1.0.0: {} - base64-js@1.5.1: {} - baseline-browser-mapping@2.9.11: {} - bl@4.1.0: - dependencies: - buffer: 5.7.1 - inherits: 2.0.4 - readable-stream: 3.6.2 - optional: true - brace-expansion@1.1.12: dependencies: balanced-match: 1.0.2 @@ -10838,17 +9081,6 @@ snapshots: buffer-from@1.1.2: {} - buffer@5.7.1: - dependencies: - base64-js: 1.5.1 - ieee754: 1.2.1 - optional: true - - buffer@6.0.3: - dependencies: - base64-js: 1.5.1 - ieee754: 1.2.1 - call-bind-apply-helpers@1.0.2: dependencies: es-errors: 1.3.0 @@ -10872,12 +9104,6 @@ snapshots: canvas-confetti@1.9.4: {} - canvas@3.2.0: - dependencies: - node-addon-api: 7.1.1 - prebuild-install: 7.1.3 - optional: true - ccount@2.0.1: {} chalk@4.1.2: @@ -10919,28 +9145,16 @@ snapshots: dependencies: readdirp: 5.0.0 - chownr@1.1.4: - optional: true - class-variance-authority@0.7.1: dependencies: clsx: 2.1.1 classnames@2.5.1: {} - clean-set@1.1.2: {} - client-only@0.0.1: {} clsx@2.1.1: {} - cm6-theme-basic-light@0.2.0(@codemirror/language@6.11.3)(@codemirror/state@6.5.2)(@codemirror/view@6.39.4)(@lezer/highlight@1.2.3): - dependencies: - '@codemirror/language': 6.11.3 - '@codemirror/state': 6.5.2 - '@codemirror/view': 6.39.4 - '@lezer/highlight': 1.2.3 - cmdk@0.2.1(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: '@radix-ui/react-dialog': 1.0.0(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -10961,16 +9175,6 @@ snapshots: - '@types/react' - '@types/react-dom' - codemirror@6.0.2: - dependencies: - '@codemirror/autocomplete': 6.20.0 - '@codemirror/commands': 6.10.1 - '@codemirror/language': 6.11.3 - '@codemirror/lint': 6.9.2 - '@codemirror/search': 6.5.11 - '@codemirror/state': 6.5.2 - '@codemirror/view': 6.39.4 - collapse-white-space@2.1.0: {} color-convert@2.0.1: @@ -10991,8 +9195,6 @@ snapshots: commander@8.3.0: {} - compute-scroll-into-view@2.0.4: {} - compute-scroll-into-view@3.1.1: {} concat-map@0.0.1: {} @@ -11213,11 +9415,6 @@ snapshots: d3-transition: 3.0.1(d3-selection@3.0.0) d3-zoom: 3.0.0 - d@1.0.2: - dependencies: - es5-ext: 0.10.64 - type: 2.7.3 - dagre-d3-es@7.0.13: dependencies: d3: 7.9.0 @@ -11268,14 +9465,6 @@ snapshots: dependencies: character-entities: 2.0.2 - decompress-response@6.0.0: - dependencies: - mimic-response: 3.1.0 - optional: true - - deep-extend@0.6.0: - optional: true - deep-is@0.1.4: {} define-data-property@1.1.4: @@ -11310,8 +9499,6 @@ snapshots: diff-match-patch@1.0.5: {} - diff@5.2.0: {} - doctrine@2.1.0: dependencies: esutils: 2.0.3 @@ -11320,19 +9507,8 @@ snapshots: optionalDependencies: '@types/trusted-types': 2.0.7 - dotenv@16.6.1: {} - dotenv@17.2.3: {} - downshift@7.6.2(react@19.2.3): - dependencies: - '@babel/runtime': 7.28.4 - compute-scroll-into-view: 2.0.4 - prop-types: 15.8.1 - react: 19.2.3 - react-is: 17.0.2 - tslib: 2.8.1 - drizzle-kit@0.31.8: dependencies: '@drizzle-team/brocli': 0.10.2 @@ -11375,11 +9551,6 @@ snapshots: emoji-regex@9.2.2: {} - end-of-stream@1.4.5: - dependencies: - once: 1.4.0 - optional: true - enhanced-resolve@5.18.4: dependencies: graceful-fs: 4.2.11 @@ -11490,24 +9661,6 @@ snapshots: is-date-object: 1.1.0 is-symbol: 1.1.1 - es5-ext@0.10.64: - dependencies: - es6-iterator: 2.0.3 - es6-symbol: 3.1.4 - esniff: 2.0.1 - next-tick: 1.1.0 - - es6-iterator@2.0.3: - dependencies: - d: 1.0.2 - es5-ext: 0.10.64 - es6-symbol: 3.1.4 - - es6-symbol@3.1.4: - dependencies: - d: 1.0.2 - ext: 1.7.0 - esast-util-from-estree@2.0.0: dependencies: '@types/estree-jsx': 1.0.5 @@ -11612,8 +9765,6 @@ snapshots: '@esbuild/win32-ia32': 0.27.2 '@esbuild/win32-x64': 0.27.2 - escape-carriage@1.3.1: {} - escape-string-regexp@4.0.0: {} escape-string-regexp@5.0.0: {} @@ -11798,13 +9949,6 @@ snapshots: esm-env@1.2.2: {} - esniff@2.0.1: - dependencies: - d: 1.0.2 - es5-ext: 0.10.64 - event-emitter: 0.3.5 - type: 2.7.3 - espree@10.4.0: dependencies: acorn: 8.15.0 @@ -11860,20 +10004,8 @@ snapshots: esutils@2.0.3: {} - event-emitter@0.3.5: - dependencies: - d: 1.0.2 - es5-ext: 0.10.64 - eventsource-parser@3.0.6: {} - expand-template@2.0.3: - optional: true - - ext@1.7.0: - dependencies: - type: 2.7.3 - extend@3.0.2: {} fast-deep-equal@3.1.3: {} @@ -11900,10 +10032,6 @@ snapshots: dependencies: format: 0.2.2 - fault@2.0.1: - dependencies: - format: 0.2.2 - fbemitter@3.0.0: dependencies: fbjs: 3.0.5 @@ -11983,9 +10111,6 @@ snapshots: react: 19.2.3 react-dom: 19.2.3(react@19.2.3) - fs-constants@1.0.0: - optional: true - fsevents@2.3.3: optional: true @@ -12094,8 +10219,6 @@ snapshots: functions-have-names@1.2.3: {} - fuse.js@6.6.2: {} - geist@1.5.1(next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)): dependencies: next: 16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) @@ -12134,9 +10257,6 @@ snapshots: dependencies: resolve-pkg-maps: 1.0.0 - github-from-package@0.0.0: - optional: true - github-slugger@2.0.0: {} glob-parent@5.1.2: @@ -12379,8 +10499,6 @@ snapshots: hast-util-is-element: 3.0.0 unist-util-find-after: 5.0.0 - hast-util-whitespace@2.0.1: {} - hast-util-whitespace@3.0.0: dependencies: '@types/hast': 3.0.4 @@ -12405,7 +10523,8 @@ snapshots: highlight.js@10.7.3: {} - highlight.js@11.11.1: {} + highlight.js@11.11.1: + optional: true highlightjs-vue@1.0.0: {} @@ -12437,8 +10556,6 @@ snapshots: dependencies: safer-buffer: 2.1.2 - ieee754@1.2.1: {} - ignore@5.3.2: {} ignore@7.0.5: {} @@ -12452,14 +10569,6 @@ snapshots: imurmurhash@0.1.4: {} - inherits@2.0.4: - optional: true - - ini@1.3.8: - optional: true - - inline-style-parser@0.1.1: {} - inline-style-parser@0.2.7: {} internal-slot@1.1.0: @@ -12472,8 +10581,6 @@ snapshots: internmap@2.0.3: {} - intersection-observer@0.10.0: {} - intl-messageformat@10.7.18: dependencies: '@formatjs/ecma402-abstract': 2.3.6 @@ -12518,8 +10625,6 @@ snapshots: call-bound: 1.0.4 has-tostringtag: 1.0.2 - is-buffer@2.0.5: {} - is-bun-module@2.0.0: dependencies: semver: 7.7.3 @@ -12720,8 +10825,6 @@ snapshots: khroma@2.1.0: {} - kleur@4.1.5: {} - langium@3.3.1: dependencies: chevrotain: 11.0.3 @@ -12745,8 +10848,6 @@ snapshots: prelude-ls: 1.2.1 type-check: 0.4.0 - lexical@0.35.0: {} - lib0@0.2.115: dependencies: isomorphic.js: 0.2.5 @@ -12816,14 +10917,10 @@ snapshots: lodash.curry@4.1.1: {} - lodash.debounce@4.0.8: {} - lodash.flow@3.5.0: {} lodash.merge@4.6.2: {} - lodash@4.17.21: {} - longest-streak@3.1.0: {} loose-envify@1.4.0: @@ -12837,10 +10934,6 @@ snapshots: lru-cache@10.4.3: {} - lucide-react@0.453.0(react@19.2.3): - dependencies: - react: 19.2.3 - lucide-react@0.477.0(react@19.2.3): dependencies: react: 19.2.3 @@ -12849,16 +10942,10 @@ snapshots: dependencies: react: 19.2.3 - lz-string@1.5.0: {} - magic-string@0.30.21: dependencies: '@jridgewell/sourcemap-codec': 1.5.5 - make-cancellable-promise@1.3.2: {} - - make-event-props@1.6.2: {} - markdown-extensions@2.0.0: {} markdown-it@14.1.0: @@ -12876,33 +10963,6 @@ snapshots: math-intrinsics@1.1.0: {} - mdast-util-definitions@5.1.2: - dependencies: - '@types/mdast': 3.0.15 - '@types/unist': 2.0.11 - unist-util-visit: 4.1.2 - - mdast-util-directive@3.1.0: - dependencies: - '@types/mdast': 4.0.4 - '@types/unist': 3.0.3 - ccount: 2.0.1 - devlop: 1.1.0 - mdast-util-from-markdown: 2.0.2 - mdast-util-to-markdown: 2.1.2 - parse-entities: 4.0.2 - stringify-entities: 4.0.4 - unist-util-visit-parents: 6.0.2 - transitivePeerDependencies: - - supports-color - - mdast-util-find-and-replace@2.2.2: - dependencies: - '@types/mdast': 3.0.15 - escape-string-regexp: 5.0.0 - unist-util-is: 5.2.1 - unist-util-visit-parents: 5.1.3 - mdast-util-find-and-replace@3.0.2: dependencies: '@types/mdast': 4.0.4 @@ -12910,23 +10970,6 @@ snapshots: unist-util-is: 6.0.1 unist-util-visit-parents: 6.0.2 - mdast-util-from-markdown@1.3.1: - dependencies: - '@types/mdast': 3.0.15 - '@types/unist': 2.0.11 - decode-named-character-reference: 1.2.0 - mdast-util-to-string: 3.2.0 - micromark: 3.2.0 - micromark-util-decode-numeric-character-reference: 1.1.0 - micromark-util-decode-string: 1.1.0 - micromark-util-normalize-identifier: 1.1.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - unist-util-stringify-position: 3.0.3 - uvu: 0.5.6 - transitivePeerDependencies: - - supports-color - mdast-util-from-markdown@2.0.2: dependencies: '@types/mdast': 4.0.4 @@ -12944,24 +10987,6 @@ snapshots: transitivePeerDependencies: - supports-color - mdast-util-frontmatter@2.0.1: - dependencies: - '@types/mdast': 4.0.4 - devlop: 1.1.0 - escape-string-regexp: 5.0.0 - mdast-util-from-markdown: 2.0.2 - mdast-util-to-markdown: 2.1.2 - micromark-extension-frontmatter: 2.0.0 - transitivePeerDependencies: - - supports-color - - mdast-util-gfm-autolink-literal@1.0.3: - dependencies: - '@types/mdast': 3.0.15 - ccount: 2.0.1 - mdast-util-find-and-replace: 2.2.2 - micromark-util-character: 1.2.0 - mdast-util-gfm-autolink-literal@2.0.1: dependencies: '@types/mdast': 4.0.4 @@ -12970,12 +10995,6 @@ snapshots: mdast-util-find-and-replace: 3.0.2 micromark-util-character: 2.1.1 - mdast-util-gfm-footnote@1.0.2: - dependencies: - '@types/mdast': 3.0.15 - mdast-util-to-markdown: 1.5.0 - micromark-util-normalize-identifier: 1.1.0 - mdast-util-gfm-footnote@2.1.0: dependencies: '@types/mdast': 4.0.4 @@ -12986,11 +11005,6 @@ snapshots: transitivePeerDependencies: - supports-color - mdast-util-gfm-strikethrough@1.0.3: - dependencies: - '@types/mdast': 3.0.15 - mdast-util-to-markdown: 1.5.0 - mdast-util-gfm-strikethrough@2.0.0: dependencies: '@types/mdast': 4.0.4 @@ -12999,15 +11013,6 @@ snapshots: transitivePeerDependencies: - supports-color - mdast-util-gfm-table@1.0.7: - dependencies: - '@types/mdast': 3.0.15 - markdown-table: 3.0.4 - mdast-util-from-markdown: 1.3.1 - mdast-util-to-markdown: 1.5.0 - transitivePeerDependencies: - - supports-color - mdast-util-gfm-table@2.0.0: dependencies: '@types/mdast': 4.0.4 @@ -13018,11 +11023,6 @@ snapshots: transitivePeerDependencies: - supports-color - mdast-util-gfm-task-list-item@1.0.2: - dependencies: - '@types/mdast': 3.0.15 - mdast-util-to-markdown: 1.5.0 - mdast-util-gfm-task-list-item@2.0.0: dependencies: '@types/mdast': 4.0.4 @@ -13032,18 +11032,6 @@ snapshots: transitivePeerDependencies: - supports-color - mdast-util-gfm@2.0.2: - dependencies: - mdast-util-from-markdown: 1.3.1 - mdast-util-gfm-autolink-literal: 1.0.3 - mdast-util-gfm-footnote: 1.0.2 - mdast-util-gfm-strikethrough: 1.0.3 - mdast-util-gfm-table: 1.0.7 - mdast-util-gfm-task-list-item: 1.0.2 - mdast-util-to-markdown: 1.5.0 - transitivePeerDependencies: - - supports-color - mdast-util-gfm@3.1.0: dependencies: mdast-util-from-markdown: 2.0.2 @@ -13056,16 +11044,6 @@ snapshots: transitivePeerDependencies: - supports-color - mdast-util-highlight-mark@1.2.2: - dependencies: - micromark-extension-highlight-mark: 1.2.0 - - mdast-util-math@2.0.2: - dependencies: - '@types/mdast': 3.0.15 - longest-streak: 3.1.0 - mdast-util-to-markdown: 1.5.0 - mdast-util-math@3.0.0: dependencies: '@types/hast': 3.0.4 @@ -13127,27 +11105,11 @@ snapshots: transitivePeerDependencies: - supports-color - mdast-util-phrasing@3.0.1: - dependencies: - '@types/mdast': 3.0.15 - unist-util-is: 5.2.1 - mdast-util-phrasing@4.1.0: dependencies: '@types/mdast': 4.0.4 unist-util-is: 6.0.1 - mdast-util-to-hast@12.3.0: - dependencies: - '@types/hast': 2.3.10 - '@types/mdast': 3.0.15 - mdast-util-definitions: 5.1.2 - micromark-util-sanitize-uri: 1.2.0 - trim-lines: 3.0.1 - unist-util-generated: 2.0.1 - unist-util-position: 4.0.4 - unist-util-visit: 4.1.2 - mdast-util-to-hast@13.2.1: dependencies: '@types/hast': 3.0.4 @@ -13160,17 +11122,6 @@ snapshots: unist-util-visit: 5.0.0 vfile: 6.0.3 - mdast-util-to-markdown@1.5.0: - dependencies: - '@types/mdast': 3.0.15 - '@types/unist': 2.0.11 - longest-streak: 3.1.0 - mdast-util-phrasing: 3.0.1 - mdast-util-to-string: 3.2.0 - micromark-util-decode-string: 1.1.0 - unist-util-visit: 4.1.2 - zwitch: 2.0.4 - mdast-util-to-markdown@2.1.2: dependencies: '@types/mdast': 4.0.4 @@ -13183,22 +11134,12 @@ snapshots: unist-util-visit: 5.0.0 zwitch: 2.0.4 - mdast-util-to-string@3.2.0: - dependencies: - '@types/mdast': 3.0.15 - mdast-util-to-string@4.0.0: dependencies: '@types/mdast': 4.0.4 mdurl@2.0.0: {} - memoize-one@5.2.1: {} - - merge-refs@1.3.0(@types/react@19.2.7): - optionalDependencies: - '@types/react': 19.2.7 - merge2@1.4.1: {} mermaid@11.12.2: @@ -13224,25 +11165,6 @@ snapshots: ts-dedent: 2.2.0 uuid: 11.1.0 - micromark-core-commonmark@1.1.0: - dependencies: - decode-named-character-reference: 1.2.0 - micromark-factory-destination: 1.1.0 - micromark-factory-label: 1.1.0 - micromark-factory-space: 1.1.0 - micromark-factory-title: 1.1.0 - micromark-factory-whitespace: 1.1.0 - micromark-util-character: 1.2.0 - micromark-util-chunked: 1.1.0 - micromark-util-classify-character: 1.1.0 - micromark-util-html-tag-name: 1.2.0 - micromark-util-normalize-identifier: 1.1.0 - micromark-util-resolve-all: 1.1.0 - micromark-util-subtokenize: 1.1.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - uvu: 0.5.6 - micromark-core-commonmark@2.0.3: dependencies: decode-named-character-reference: 1.2.0 @@ -13294,30 +11216,6 @@ snapshots: optionalDependencies: micromark-util-types: 2.0.2 - micromark-extension-directive@3.0.2: - dependencies: - devlop: 1.1.0 - micromark-factory-space: 2.0.1 - micromark-factory-whitespace: 2.0.1 - micromark-util-character: 2.1.1 - micromark-util-symbol: 2.0.1 - micromark-util-types: 2.0.2 - parse-entities: 4.0.2 - - micromark-extension-frontmatter@2.0.0: - dependencies: - fault: 2.0.1 - micromark-util-character: 2.1.1 - micromark-util-symbol: 2.0.1 - micromark-util-types: 2.0.2 - - micromark-extension-gfm-autolink-literal@1.0.5: - dependencies: - micromark-util-character: 1.2.0 - micromark-util-sanitize-uri: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - micromark-extension-gfm-autolink-literal@2.1.0: dependencies: micromark-util-character: 2.1.1 @@ -13325,17 +11223,6 @@ snapshots: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-extension-gfm-footnote@1.1.2: - dependencies: - micromark-core-commonmark: 1.1.0 - micromark-factory-space: 1.1.0 - micromark-util-character: 1.2.0 - micromark-util-normalize-identifier: 1.1.0 - micromark-util-sanitize-uri: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - uvu: 0.5.6 - micromark-extension-gfm-footnote@2.1.0: dependencies: devlop: 1.1.0 @@ -13347,15 +11234,6 @@ snapshots: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-extension-gfm-strikethrough@1.0.7: - dependencies: - micromark-util-chunked: 1.1.0 - micromark-util-classify-character: 1.1.0 - micromark-util-resolve-all: 1.1.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - uvu: 0.5.6 - micromark-extension-gfm-strikethrough@2.1.0: dependencies: devlop: 1.1.0 @@ -13365,14 +11243,6 @@ snapshots: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-extension-gfm-table@1.0.7: - dependencies: - micromark-factory-space: 1.1.0 - micromark-util-character: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - uvu: 0.5.6 - micromark-extension-gfm-table@2.1.1: dependencies: devlop: 1.1.0 @@ -13381,22 +11251,10 @@ snapshots: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-extension-gfm-tagfilter@1.0.2: - dependencies: - micromark-util-types: 1.1.0 - micromark-extension-gfm-tagfilter@2.0.0: dependencies: micromark-util-types: 2.0.2 - micromark-extension-gfm-task-list-item@1.0.5: - dependencies: - micromark-factory-space: 1.1.0 - micromark-util-character: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - uvu: 0.5.6 - micromark-extension-gfm-task-list-item@2.1.0: dependencies: devlop: 1.1.0 @@ -13405,17 +11263,6 @@ snapshots: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-extension-gfm@2.0.3: - dependencies: - micromark-extension-gfm-autolink-literal: 1.0.5 - micromark-extension-gfm-footnote: 1.1.2 - micromark-extension-gfm-strikethrough: 1.0.7 - micromark-extension-gfm-table: 1.0.7 - micromark-extension-gfm-tagfilter: 1.0.2 - micromark-extension-gfm-task-list-item: 1.0.5 - micromark-util-combine-extensions: 1.1.0 - micromark-util-types: 1.1.0 - micromark-extension-gfm@3.0.0: dependencies: micromark-extension-gfm-autolink-literal: 2.1.0 @@ -13427,25 +11274,6 @@ snapshots: micromark-util-combine-extensions: 2.0.1 micromark-util-types: 2.0.2 - micromark-extension-highlight-mark@1.2.0: - dependencies: - micromark-util-chunked: 2.0.1 - micromark-util-classify-character: 2.0.1 - micromark-util-resolve-all: 2.0.1 - micromark-util-symbol: 2.0.1 - micromark-util-types: 2.0.2 - uvu: 0.5.6 - - micromark-extension-math@2.1.2: - dependencies: - '@types/katex': 0.16.7 - katex: 0.16.27 - micromark-factory-space: 1.1.0 - micromark-util-character: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - uvu: 0.5.6 - micromark-extension-math@3.1.0: dependencies: '@types/katex': 0.16.7 @@ -13507,25 +11335,12 @@ snapshots: micromark-util-combine-extensions: 2.0.1 micromark-util-types: 2.0.2 - micromark-factory-destination@1.1.0: - dependencies: - micromark-util-character: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - micromark-factory-destination@2.0.1: dependencies: micromark-util-character: 2.1.1 micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-factory-label@1.1.0: - dependencies: - micromark-util-character: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - uvu: 0.5.6 - micromark-factory-label@2.0.1: dependencies: devlop: 1.1.0 @@ -13545,23 +11360,11 @@ snapshots: unist-util-position-from-estree: 2.0.0 vfile-message: 4.0.3 - micromark-factory-space@1.1.0: - dependencies: - micromark-util-character: 1.2.0 - micromark-util-types: 1.1.0 - micromark-factory-space@2.0.1: dependencies: micromark-util-character: 2.1.1 micromark-util-types: 2.0.2 - micromark-factory-title@1.1.0: - dependencies: - micromark-factory-space: 1.1.0 - micromark-util-character: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - micromark-factory-title@2.0.1: dependencies: micromark-factory-space: 2.0.1 @@ -13569,13 +11372,6 @@ snapshots: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-factory-whitespace@1.1.0: - dependencies: - micromark-factory-space: 1.1.0 - micromark-util-character: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - micromark-factory-whitespace@2.0.1: dependencies: micromark-factory-space: 2.0.1 @@ -13583,61 +11379,30 @@ snapshots: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-util-character@1.2.0: - dependencies: - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - micromark-util-character@2.1.1: dependencies: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-util-chunked@1.1.0: - dependencies: - micromark-util-symbol: 1.1.0 - micromark-util-chunked@2.0.1: dependencies: micromark-util-symbol: 2.0.1 - micromark-util-classify-character@1.1.0: - dependencies: - micromark-util-character: 1.2.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - micromark-util-classify-character@2.0.1: dependencies: micromark-util-character: 2.1.1 micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-util-combine-extensions@1.1.0: - dependencies: - micromark-util-chunked: 1.1.0 - micromark-util-types: 1.1.0 - micromark-util-combine-extensions@2.0.1: dependencies: micromark-util-chunked: 2.0.1 micromark-util-types: 2.0.2 - micromark-util-decode-numeric-character-reference@1.1.0: - dependencies: - micromark-util-symbol: 1.1.0 - micromark-util-decode-numeric-character-reference@2.0.2: dependencies: micromark-util-symbol: 2.0.1 - micromark-util-decode-string@1.1.0: - dependencies: - decode-named-character-reference: 1.2.0 - micromark-util-character: 1.2.0 - micromark-util-decode-numeric-character-reference: 1.1.0 - micromark-util-symbol: 1.1.0 - micromark-util-decode-string@2.0.1: dependencies: decode-named-character-reference: 1.2.0 @@ -13645,8 +11410,6 @@ snapshots: micromark-util-decode-numeric-character-reference: 2.0.2 micromark-util-symbol: 2.0.1 - micromark-util-encode@1.1.0: {} - micromark-util-encode@2.0.1: {} micromark-util-events-to-acorn@2.0.3: @@ -13659,45 +11422,22 @@ snapshots: micromark-util-types: 2.0.2 vfile-message: 4.0.3 - micromark-util-html-tag-name@1.2.0: {} - micromark-util-html-tag-name@2.0.1: {} - micromark-util-normalize-identifier@1.1.0: - dependencies: - micromark-util-symbol: 1.1.0 - micromark-util-normalize-identifier@2.0.1: dependencies: micromark-util-symbol: 2.0.1 - micromark-util-resolve-all@1.1.0: - dependencies: - micromark-util-types: 1.1.0 - micromark-util-resolve-all@2.0.1: dependencies: micromark-util-types: 2.0.2 - micromark-util-sanitize-uri@1.2.0: - dependencies: - micromark-util-character: 1.2.0 - micromark-util-encode: 1.1.0 - micromark-util-symbol: 1.1.0 - micromark-util-sanitize-uri@2.0.1: dependencies: micromark-util-character: 2.1.1 micromark-util-encode: 2.0.1 micromark-util-symbol: 2.0.1 - micromark-util-subtokenize@1.1.0: - dependencies: - micromark-util-chunked: 1.1.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - uvu: 0.5.6 - micromark-util-subtokenize@2.1.0: dependencies: devlop: 1.1.0 @@ -13705,36 +11445,10 @@ snapshots: micromark-util-symbol: 2.0.1 micromark-util-types: 2.0.2 - micromark-util-symbol@1.1.0: {} - micromark-util-symbol@2.0.1: {} - micromark-util-types@1.1.0: {} - micromark-util-types@2.0.2: {} - micromark@3.2.0: - dependencies: - '@types/debug': 4.1.12 - debug: 4.4.3 - decode-named-character-reference: 1.2.0 - micromark-core-commonmark: 1.1.0 - micromark-factory-space: 1.1.0 - micromark-util-character: 1.2.0 - micromark-util-chunked: 1.1.0 - micromark-util-combine-extensions: 1.1.0 - micromark-util-decode-numeric-character-reference: 1.1.0 - micromark-util-encode: 1.1.0 - micromark-util-normalize-identifier: 1.1.0 - micromark-util-resolve-all: 1.1.0 - micromark-util-sanitize-uri: 1.2.0 - micromark-util-subtokenize: 1.1.0 - micromark-util-symbol: 1.1.0 - micromark-util-types: 1.1.0 - uvu: 0.5.6 - transitivePeerDependencies: - - supports-color - micromark@4.0.2: dependencies: '@types/debug': 4.1.12 @@ -13764,15 +11478,10 @@ snapshots: mime-db@1.52.0: {} - mime-db@1.54.0: {} - mime-types@2.1.35: dependencies: mime-db: 1.52.0 - mimic-response@3.1.0: - optional: true - minimatch@3.1.2: dependencies: brace-expansion: 1.1.12 @@ -13783,9 +11492,6 @@ snapshots: minimist@1.2.8: {} - mkdirp-classic@0.5.3: - optional: true - mlly@1.8.0: dependencies: acorn: 8.15.0 @@ -13807,17 +11513,12 @@ snapshots: react: 19.2.3 react-dom: 19.2.3(react@19.2.3) - mri@1.2.0: {} - ms@2.1.3: {} nanoid@3.3.11: {} nanoid@5.1.6: {} - napi-build-utils@2.0.0: - optional: true - napi-postinstall@0.3.4: {} natural-compare@1.4.0: {} @@ -13847,8 +11548,6 @@ snapshots: react: 19.2.3 react-dom: 19.2.3(react@19.2.3) - next-tick@1.1.0: {} - next@16.1.0(@opentelemetry/api@1.9.0)(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: '@next/env': 16.1.0 @@ -13874,11 +11573,6 @@ snapshots: - '@babel/core' - babel-plugin-macros - node-abi@3.85.0: - dependencies: - semver: 7.7.3 - optional: true - node-addon-api@7.1.1: {} node-fetch@2.7.0: @@ -13935,11 +11629,6 @@ snapshots: define-properties: 1.2.1 es-object-atoms: 1.1.1 - once@1.4.0: - dependencies: - wrappy: 1.0.2 - optional: true - oniguruma-parser@0.12.1: {} oniguruma-to-es@4.3.4: @@ -13959,8 +11648,6 @@ snapshots: orderedmap@2.1.1: {} - outvariant@1.4.0: {} - own-keys@1.0.1: dependencies: get-intrinsic: 1.3.0 @@ -14014,16 +11701,8 @@ snapshots: path-to-regexp@8.3.0: {} - path2d@0.2.2: - optional: true - pathe@2.0.3: {} - pdfjs-dist@4.8.69: - optionalDependencies: - canvas: 3.2.0 - path2d: 0.2.2 - pg-cloudflare@1.2.7: optional: true @@ -14116,22 +11795,6 @@ snapshots: postgres@3.4.7: {} - prebuild-install@7.1.3: - dependencies: - detect-libc: 2.1.2 - expand-template: 2.0.3 - github-from-package: 0.0.0 - minimist: 1.2.8 - mkdirp-classic: 0.5.3 - napi-build-utils: 2.0.0 - node-abi: 3.85.0 - pump: 3.0.3 - rc: 1.2.8 - simple-get: 4.0.1 - tar-fs: 2.1.4 - tunnel-agent: 0.6.0 - optional: true - prelude-ls@1.2.1: {} prismjs@1.27.0: {} @@ -14152,8 +11815,6 @@ snapshots: dependencies: xtend: 4.0.2 - property-information@6.5.0: {} - property-information@7.1.0: {} prosemirror-changeset@2.3.1: @@ -14269,12 +11930,6 @@ snapshots: prosemirror-state: 1.4.4 prosemirror-transform: 1.10.5 - pump@3.0.3: - dependencies: - end-of-stream: 1.4.5 - once: 1.4.0 - optional: true - punycode.js@2.3.1: {} punycode@2.3.1: {} @@ -14283,14 +11938,6 @@ snapshots: queue-microtask@1.2.3: {} - rc@1.2.8: - dependencies: - deep-extend: 0.6.0 - ini: 1.3.8 - minimist: 1.2.8 - strip-json-comments: 2.0.1 - optional: true - react-base16-styling@0.6.0: dependencies: base16: 1.0.0 @@ -14305,10 +11952,6 @@ snapshots: date-fns-jalali: 4.1.0-0 react: 19.2.3 - react-devtools-inline@4.4.0: - dependencies: - es6-symbol: 3.1.4 - react-dom@19.2.3(react@19.2.3): dependencies: react: 19.2.3 @@ -14327,11 +11970,6 @@ snapshots: react-dom: 19.2.3(react@19.2.3) tslib: 2.8.1 - react-error-boundary@3.1.4(react@19.2.3): - dependencies: - '@babel/runtime': 7.28.4 - react: 19.2.3 - react-hook-form@7.69.0(react@19.2.3): dependencies: react: 19.2.3 @@ -14340,16 +11978,8 @@ snapshots: dependencies: react: 19.2.3 - react-intersection-observer@9.5.1(react@19.2.3): - dependencies: - react: 19.2.3 - react-is@16.13.1: {} - react-is@17.0.2: {} - - react-is@18.3.1: {} - react-json-view-lite@2.5.0(react@19.2.3): dependencies: react: 19.2.3 @@ -14386,28 +12016,6 @@ snapshots: transitivePeerDependencies: - supports-color - react-markdown@8.0.7(@types/react@19.2.7)(react@19.2.3): - dependencies: - '@types/hast': 2.3.10 - '@types/prop-types': 15.7.15 - '@types/react': 19.2.7 - '@types/unist': 2.0.11 - comma-separated-tokens: 2.0.3 - hast-util-whitespace: 2.0.1 - prop-types: 15.8.1 - property-information: 6.5.0 - react: 19.2.3 - react-is: 18.3.1 - remark-parse: 10.0.2 - remark-rehype: 10.1.0 - space-separated-tokens: 2.0.2 - style-to-object: 0.4.4 - unified: 10.1.2 - unist-util-visit: 4.1.2 - vfile: 5.3.7 - transitivePeerDependencies: - - supports-color - react-medium-image-zoom@5.4.0(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: react: 19.2.3 @@ -14418,21 +12026,6 @@ snapshots: react: 19.2.3 react-dom: 19.2.3(react@19.2.3) - react-pdf@9.2.1(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3): - dependencies: - clsx: 2.1.1 - dequal: 2.0.3 - make-cancellable-promise: 1.3.2 - make-event-props: 1.6.2 - merge-refs: 1.3.0(@types/react@19.2.7) - pdfjs-dist: 4.8.69 - react: 19.2.3 - react-dom: 19.2.3(react@19.2.3) - tiny-invariant: 1.3.3 - warning: 4.0.3 - optionalDependencies: - '@types/react': 19.2.7 - react-remove-scroll-bar@2.3.8(@types/react@19.2.7)(react@19.2.3): dependencies: react: 19.2.3 @@ -14507,26 +12100,12 @@ snapshots: transitivePeerDependencies: - '@types/react' - react-window@1.8.9(react-dom@19.2.3(react@19.2.3))(react@19.2.3): - dependencies: - '@babel/runtime': 7.28.4 - memoize-one: 5.2.1 - react: 19.2.3 - react-dom: 19.2.3(react@19.2.3) - react-wrap-balancer@1.1.1(react@19.2.3): dependencies: react: 19.2.3 react@19.2.3: {} - readable-stream@3.6.2: - dependencies: - inherits: 2.0.4 - string_decoder: 1.3.0 - util-deprecate: 1.0.2 - optional: true - readdirp@5.0.0: {} recma-build-jsx@1.0.0: @@ -14677,21 +12256,6 @@ snapshots: - micromark - micromark-util-types - remark-code-import@1.2.0: - dependencies: - strip-indent: 4.1.1 - to-gatsby-remark-plugin: 0.1.0 - unist-util-visit: 4.1.2 - - remark-gfm@3.0.1: - dependencies: - '@types/mdast': 3.0.15 - mdast-util-gfm: 2.0.2 - micromark-extension-gfm: 2.0.3 - unified: 10.1.2 - transitivePeerDependencies: - - supports-color - remark-gfm@4.0.1: dependencies: '@types/mdast': 4.0.4 @@ -14703,13 +12267,6 @@ snapshots: transitivePeerDependencies: - supports-color - remark-math@5.1.1: - dependencies: - '@types/mdast': 3.0.15 - mdast-util-math: 2.0.2 - micromark-extension-math: 2.1.2 - unified: 10.1.2 - remark-math@6.0.0: dependencies: '@types/mdast': 4.0.4 @@ -14726,14 +12283,6 @@ snapshots: transitivePeerDependencies: - supports-color - remark-parse@10.0.2: - dependencies: - '@types/mdast': 3.0.15 - mdast-util-from-markdown: 1.3.1 - unified: 10.1.2 - transitivePeerDependencies: - - supports-color - remark-parse@11.0.0: dependencies: '@types/mdast': 4.0.4 @@ -14743,13 +12292,6 @@ snapshots: transitivePeerDependencies: - supports-color - remark-rehype@10.1.0: - dependencies: - '@types/hast': 2.3.10 - '@types/mdast': 3.0.15 - mdast-util-to-hast: 12.3.0 - unified: 10.1.2 - remark-rehype@11.1.2: dependencies: '@types/hast': 3.0.4 @@ -14816,10 +12358,6 @@ snapshots: rw@1.3.3: {} - sade@1.8.1: - dependencies: - mri: 1.2.0 - safe-array-concat@1.1.3: dependencies: call-bind: 1.0.8 @@ -14828,9 +12366,6 @@ snapshots: has-symbols: 1.1.0 isarray: 2.0.5 - safe-buffer@5.2.1: - optional: true - safe-push-apply@1.0.0: dependencies: es-errors: 1.3.0 @@ -14965,16 +12500,6 @@ snapshots: side-channel-map: 1.0.1 side-channel-weakmap: 1.0.2 - simple-concat@1.0.1: - optional: true - - simple-get@4.0.1: - dependencies: - decompress-response: 6.0.0 - once: 1.4.0 - simple-concat: 1.0.1 - optional: true - sonner@2.0.7(react-dom@19.2.3(react@19.2.3))(react@19.2.3): dependencies: react: 19.2.3 @@ -14999,13 +12524,6 @@ snapshots: stable-hash@0.0.5: {} - static-browser-server@1.0.3: - dependencies: - '@open-draft/deferred-promise': 2.2.0 - dotenv: 16.6.1 - mime-db: 1.54.0 - outvariant: 1.4.0 - stop-iteration-iterator@1.1.0: dependencies: es-errors: 1.3.0 @@ -15042,8 +12560,6 @@ snapshots: - micromark-util-types - supports-color - strict-event-emitter@0.4.6: {} - string.prototype.includes@2.0.1: dependencies: call-bind: 1.0.8 @@ -15094,11 +12610,6 @@ snapshots: define-properties: 1.2.1 es-object-atoms: 1.1.1 - string_decoder@1.3.0: - dependencies: - safe-buffer: 5.2.1 - optional: true - stringify-entities@4.0.4: dependencies: character-entities-html4: 2.1.0 @@ -15106,23 +12617,12 @@ snapshots: strip-bom@3.0.0: {} - strip-indent@4.1.1: {} - - strip-json-comments@2.0.1: - optional: true - strip-json-comments@3.1.1: {} - style-mod@4.1.3: {} - style-to-js@1.1.21: dependencies: style-to-object: 1.0.14 - style-to-object@0.4.4: - dependencies: - inline-style-parser: 0.1.1 - style-to-object@1.0.14: dependencies: inline-style-parser: 0.2.7 @@ -15150,8 +12650,6 @@ snapshots: tabbable@6.3.0: {} - tailwind-merge@2.6.0: {} - tailwind-merge@3.4.0: {} tailwindcss-animate@1.0.7(tailwindcss@4.1.18): @@ -15162,29 +12660,10 @@ snapshots: tapable@2.3.0: {} - tar-fs@2.1.4: - dependencies: - chownr: 1.1.4 - mkdirp-classic: 0.5.3 - pump: 3.0.3 - tar-stream: 2.2.0 - optional: true - - tar-stream@2.2.0: - dependencies: - bl: 4.1.0 - end-of-stream: 1.4.5 - fs-constants: 1.0.0 - inherits: 2.0.4 - readable-stream: 3.6.2 - optional: true - third-party-capital@1.0.20: {} throttleit@2.1.0: {} - tiny-invariant@1.3.3: {} - tinyexec@1.0.2: {} tinyglobby@0.2.15: @@ -15198,19 +12677,10 @@ snapshots: dependencies: tldts-core: 6.1.86 - to-gatsby-remark-plugin@0.1.0: - dependencies: - to-vfile: 6.1.0 - to-regex-range@5.0.1: dependencies: is-number: 7.0.0 - to-vfile@6.1.0: - dependencies: - is-buffer: 2.0.5 - vfile: 4.2.1 - tough-cookie@5.1.2: dependencies: tldts: 6.1.86 @@ -15249,19 +12719,12 @@ snapshots: optionalDependencies: fsevents: 2.3.3 - tunnel-agent@0.6.0: - dependencies: - safe-buffer: 5.2.1 - optional: true - type-check@0.4.0: dependencies: prelude-ls: 1.2.1 type-fest@4.41.0: {} - type@2.7.3: {} - typed-array-buffer@1.0.3: dependencies: call-bound: 1.0.4 @@ -15312,20 +12775,6 @@ snapshots: undici-types@6.21.0: {} - unidiff@1.0.4: - dependencies: - diff: 5.2.0 - - unified@10.1.2: - dependencies: - '@types/unist': 2.0.11 - bail: 2.0.2 - extend: 3.0.2 - is-buffer: 2.0.5 - is-plain-obj: 4.1.0 - trough: 2.2.0 - vfile: 5.3.7 - unified@11.0.5: dependencies: '@types/unist': 3.0.3 @@ -15341,12 +12790,6 @@ snapshots: '@types/unist': 3.0.3 unist-util-is: 6.0.1 - unist-util-generated@2.0.1: {} - - unist-util-is@5.2.1: - dependencies: - '@types/unist': 2.0.11 - unist-util-is@6.0.1: dependencies: '@types/unist': 3.0.3 @@ -15355,10 +12798,6 @@ snapshots: dependencies: '@types/unist': 3.0.3 - unist-util-position@4.0.4: - dependencies: - '@types/unist': 2.0.11 - unist-util-position@5.0.0: dependencies: '@types/unist': 3.0.3 @@ -15368,34 +12807,15 @@ snapshots: '@types/unist': 3.0.3 unist-util-visit: 5.0.0 - unist-util-stringify-position@2.0.3: - dependencies: - '@types/unist': 2.0.11 - - unist-util-stringify-position@3.0.3: - dependencies: - '@types/unist': 2.0.11 - unist-util-stringify-position@4.0.0: dependencies: '@types/unist': 3.0.3 - unist-util-visit-parents@5.1.3: - dependencies: - '@types/unist': 2.0.11 - unist-util-is: 5.2.1 - unist-util-visit-parents@6.0.2: dependencies: '@types/unist': 3.0.3 unist-util-is: 6.0.1 - unist-util-visit@4.1.2: - dependencies: - '@types/unist': 2.0.11 - unist-util-is: 5.2.1 - unist-util-visit-parents: 5.1.3 - unist-util-visit@5.0.0: dependencies: '@types/unist': 3.0.3 @@ -15481,56 +12901,16 @@ snapshots: uuid@8.3.2: {} - uvu@0.5.6: - dependencies: - dequal: 2.0.3 - diff: 5.2.0 - kleur: 4.1.5 - sade: 1.8.1 - - vaul@0.9.9(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3): - dependencies: - '@radix-ui/react-dialog': 1.1.15(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3) - react: 19.2.3 - react-dom: 19.2.3(react@19.2.3) - transitivePeerDependencies: - - '@types/react' - - '@types/react-dom' - vfile-location@5.0.3: dependencies: '@types/unist': 3.0.3 vfile: 6.0.3 - vfile-message@2.0.4: - dependencies: - '@types/unist': 2.0.11 - unist-util-stringify-position: 2.0.3 - - vfile-message@3.1.4: - dependencies: - '@types/unist': 2.0.11 - unist-util-stringify-position: 3.0.3 - vfile-message@4.0.3: dependencies: '@types/unist': 3.0.3 unist-util-stringify-position: 4.0.0 - vfile@4.2.1: - dependencies: - '@types/unist': 2.0.11 - is-buffer: 2.0.5 - unist-util-stringify-position: 2.0.3 - vfile-message: 2.0.4 - - vfile@5.3.7: - dependencies: - '@types/unist': 2.0.11 - is-buffer: 2.0.5 - unist-util-stringify-position: 3.0.3 - vfile-message: 3.1.4 - vfile@6.0.3: dependencies: '@types/unist': 3.0.3 @@ -15559,10 +12939,6 @@ snapshots: dependencies: xml-name-validator: 5.0.0 - warning@4.0.3: - dependencies: - loose-envify: 1.4.0 - web-namespaces@2.0.1: {} webidl-conversions@3.0.1: {} @@ -15632,9 +13008,6 @@ snapshots: word-wrap@1.2.5: {} - wrappy@1.0.2: - optional: true - ws@8.18.3: {} xml-name-validator@5.0.0: {} From 1cbb1b5d66137ab4953248b4aca36ce3a7054ffd Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Sun, 21 Dec 2025 23:31:11 -0800 Subject: [PATCH 22/38] refactor: remove chat-related fields and legacy podcast generation function --- .../50_remove_podcast_chat_columns.py | 48 +++++++++++++++++++ surfsense_backend/app/db.py | 4 -- surfsense_backend/app/schemas/podcasts.py | 2 - .../app/tasks/celery_tasks/podcast_tasks.py | 5 +- surfsense_backend/app/tasks/podcast_tasks.py | 11 +---- 5 files changed, 50 insertions(+), 20 deletions(-) create mode 100644 surfsense_backend/alembic/versions/50_remove_podcast_chat_columns.py diff --git a/surfsense_backend/alembic/versions/50_remove_podcast_chat_columns.py b/surfsense_backend/alembic/versions/50_remove_podcast_chat_columns.py new file mode 100644 index 000000000..c0c9e741b --- /dev/null +++ b/surfsense_backend/alembic/versions/50_remove_podcast_chat_columns.py @@ -0,0 +1,48 @@ +"""50_remove_podcast_chat_columns + +Revision ID: 50 +Revises: 49 +Create Date: 2025-12-21 + +Removes chat_id and chat_state_version columns from podcasts table. +These columns were used for the old chat system podcast linking which +has been replaced by the new-chat content-based podcast generation. +""" + +from collections.abc import Sequence + +import sqlalchemy as sa +from sqlalchemy import inspect + +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "50" +down_revision: str | None = "49" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """Upgrade schema - Remove chat_id and chat_state_version from podcasts.""" + conn = op.get_bind() + inspector = inspect(conn) + columns = [col["name"] for col in inspector.get_columns("podcasts")] + + if "chat_id" in columns: + op.drop_column("podcasts", "chat_id") + + if "chat_state_version" in columns: + op.drop_column("podcasts", "chat_state_version") + + +def downgrade() -> None: + """Downgrade schema - Re-add chat_id and chat_state_version to podcasts.""" + op.add_column( + "podcasts", + sa.Column("chat_id", sa.Integer(), nullable=True), + ) + op.add_column( + "podcasts", + sa.Column("chat_state_version", sa.String(100), nullable=True), + ) diff --git a/surfsense_backend/app/db.py b/surfsense_backend/app/db.py index b563cd594..815115640 100644 --- a/surfsense_backend/app/db.py +++ b/surfsense_backend/app/db.py @@ -436,10 +436,6 @@ class Podcast(BaseModel, TimestampMixin): ) search_space = relationship("SearchSpace", back_populates="podcasts") - # Optional: link to chat thread (null for content-based podcasts from new-chat) - chat_id = Column(Integer, nullable=True) - chat_state_version = Column(String(100), nullable=True) - class SearchSpace(BaseModel, TimestampMixin): __tablename__ = "searchspaces" diff --git a/surfsense_backend/app/schemas/podcasts.py b/surfsense_backend/app/schemas/podcasts.py index bcf50a710..72c915d88 100644 --- a/surfsense_backend/app/schemas/podcasts.py +++ b/surfsense_backend/app/schemas/podcasts.py @@ -13,8 +13,6 @@ class PodcastBase(BaseModel): podcast_transcript: list[dict[str, Any]] | None = None file_location: str | None = None search_space_id: int - chat_id: int | None = None - chat_state_version: str | None = None class PodcastCreate(PodcastBase): diff --git a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py index 7f67ba599..40fe21f0d 100644 --- a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py @@ -72,8 +72,7 @@ def generate_content_podcast_task( """ Celery task to generate podcast from source content (for new-chat). - Unlike generate_chat_podcast which requires a chat_id, this task - generates a podcast directly from provided content. + This task generates a podcast directly from provided content. Args: source_content: The text content to convert into a podcast @@ -164,8 +163,6 @@ async def _generate_content_podcast( podcast_transcript=serializable_transcript, file_location=file_path, search_space_id=search_space_id, - chat_id=None, # No chat_id for new-chat podcasts - chat_state_version=None, ) session.add(podcast) await session.commit() diff --git a/surfsense_backend/app/tasks/podcast_tasks.py b/surfsense_backend/app/tasks/podcast_tasks.py index 21cd0d947..b3b01eb93 100644 --- a/surfsense_backend/app/tasks/podcast_tasks.py +++ b/surfsense_backend/app/tasks/podcast_tasks.py @@ -7,19 +7,10 @@ if called. Use generate_content_podcast_task in celery_tasks/podcast_tasks.py for new-chat podcast generation instead. """ -from sqlalchemy.ext.asyncio import AsyncSession - from app.db import Podcast # noqa: F401 - imported for backwards compatibility -async def generate_chat_podcast( - session: AsyncSession, - chat_id: int, - search_space_id: int, - user_id: int, - podcast_title: str | None = None, - user_prompt: str | None = None, -): +async def generate_chat_podcast(*args, **kwargs): """ Legacy function for generating podcasts from old chat system. From 2f622891aedaa47fe67386d2d4b53fe72cc49bae Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Mon, 22 Dec 2025 18:38:08 +0530 Subject: [PATCH 23/38] feat: implement dynamic greeting and thinking steps display in Thread component --- .../components/assistant-ui/thread.tsx | 188 ++++++++++++------ 1 file changed, 128 insertions(+), 60 deletions(-) diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index a41d2e143..5b4e430d7 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -21,7 +21,9 @@ import { RefreshCwIcon, SquareIcon, } from "lucide-react"; +import Image from "next/image"; import type { FC } from "react"; +import { useAtomValue } from "jotai"; import { ComposerAddAttachment, ComposerAttachments, @@ -32,6 +34,7 @@ import { ToolFallback } from "@/components/assistant-ui/tool-fallback"; import { TooltipIconButton } from "@/components/assistant-ui/tooltip-icon-button"; import { Button } from "@/components/ui/button"; import { cn } from "@/lib/utils"; +import { currentUserAtom } from "@/atoms/user/user-query.atoms"; export const Thread: FC = () => { return ( @@ -59,7 +62,11 @@ export const Thread: FC = () => { - + !thread.isEmpty}> +
          + +
          +           @@ -80,62 +87,109 @@ const ThreadScrollToBottom: FC = () => { ); }; -const ThreadWelcome: FC = () => { - return ( -
          -
          -
          -

          - Hello there! -

          -

          - How can I help you today? -

          -
          -
          - -
          - ); +const getTimeBasedGreeting = (userEmail?: string): string => { + const hour = new Date().getHours(); + + // Extract first name from email if available + const firstName = userEmail + ? userEmail.split("@")[0].split(".")[0].charAt(0).toUpperCase() + + userEmail.split("@")[0].split(".")[0].slice(1) + : null; + + // Array of greeting variations for each time period + const morningGreetings = [ + "Good morning", + "Rise and shine", + "Morning", + "Hey there", + "Welcome back", + ]; + + const afternoonGreetings = [ + "Good afternoon", + "Afternoon", + "Hey there", + "Welcome back", + "Hope you're having a great day", + ]; + + const eveningGreetings = [ + "Good evening", + "Evening", + "Hey there", + "Welcome back", + "Hope you had a great day", + ]; + + const nightGreetings = [ + "Late night", + "Still up", + "Hey there", + "Welcome back", + "Burning the midnight oil", + ]; + + // Select a random greeting based on time + let greeting: string; + if (hour < 12) { + greeting = morningGreetings[Math.floor(Math.random() * morningGreetings.length)]; + } else if (hour < 17) { + greeting = afternoonGreetings[Math.floor(Math.random() * afternoonGreetings.length)]; + } else if (hour < 21) { + greeting = eveningGreetings[Math.floor(Math.random() * eveningGreetings.length)]; + } else { + greeting = nightGreetings[Math.floor(Math.random() * nightGreetings.length)]; + } + + // Add personalization with first name if available + if (firstName) { + return `${greeting}, ${firstName}!`; + } + + return `${greeting}!`; }; -const SUGGESTIONS = [ - { - title: "What's the weather", - label: "in San Francisco?", - prompt: "What's the weather in San Francisco?", - }, - { - title: "Explain React hooks", - label: "like useState and useEffect", - prompt: "Explain React hooks like useState and useEffect", - }, -] as const; - -const ThreadSuggestions: FC = () => { +const ThreadWelcome: FC = () => { + const { data: user } = useAtomValue(currentUserAtom); + return ( -
          - {SUGGESTIONS.map((suggestion, index) => ( -
          - - - -
          - ))} +
          + {/* Greeting positioned near the composer */} +
          +

          + {/** biome-ignore lint/a11y/noStaticElementInteractions: wrong lint error, this is a workaround to fix the lint error */} +
          { + const rect = e.currentTarget.getBoundingClientRect(); + const x = (e.clientX - rect.left - rect.width / 2) / 3; + const y = (e.clientY - rect.top - rect.height / 2) / 3; + e.currentTarget.style.setProperty("--mag-x", `${x}px`); + e.currentTarget.style.setProperty("--mag-y", `${y}px`); + }} + onMouseLeave={(e) => { + e.currentTarget.style.setProperty("--mag-x", "0px"); + e.currentTarget.style.setProperty("--mag-y", "0px"); + }} + > + SurfSense +
          + {getTimeBasedGreeting(user?.email)} +

          +
          + {/* Composer centered in the middle of the screen */} +
          + +
          ); }; @@ -143,10 +197,10 @@ const ThreadSuggestions: FC = () => { const Composer: FC = () => { return ( - + { }) ); + // Check if composer text is empty + const isComposerEmpty = useAssistantState(({ composer }) => { + const text = composer.text?.trim() || ""; + return text.length === 0; + }); + + const isSendDisabled = hasProcessingAttachments || isComposerEmpty; + return (
          @@ -183,19 +245,25 @@ const ComposerAction: FC = () => { )} !thread.isRunning}> - + From 8a99752f2ff6e94aa3e5c732227d0010589111fe Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Mon, 22 Dec 2025 22:54:22 +0530 Subject: [PATCH 24/38] feat: enhance chat functionality with chain-of-thought display and thinking steps management --- .../app/services/new_streaming_service.py | 29 +++ .../app/tasks/chat/stream_new_chat.py | 215 ++++++++++++++++++ .../new-chat/[[...chat_id]]/page.tsx | 83 ++++++- .../components/assistant-ui/thread.tsx | 190 +++++++++++++--- .../prompt-kit/chain-of-thought.tsx | 148 ++++++++++++ .../components/tool-ui/deepagent-thinking.tsx | 203 +++++++++++++++++ surfsense_web/components/tool-ui/index.ts | 7 + surfsense_web/components/ui/collapsible.tsx | 30 ++- 8 files changed, 857 insertions(+), 48 deletions(-) create mode 100644 surfsense_web/components/prompt-kit/chain-of-thought.tsx create mode 100644 surfsense_web/components/tool-ui/deepagent-thinking.tsx diff --git a/surfsense_backend/app/services/new_streaming_service.py b/surfsense_backend/app/services/new_streaming_service.py index f0f05cdb6..05dd2d4dd 100644 --- a/surfsense_backend/app/services/new_streaming_service.py +++ b/surfsense_backend/app/services/new_streaming_service.py @@ -450,6 +450,35 @@ class VercelStreamingService: """ return self.format_data("further-questions", {"questions": questions}) + def format_thinking_step( + self, + step_id: str, + title: str, + status: str = "in_progress", + items: list[str] | None = None, + ) -> str: + """ + Format a thinking step for chain-of-thought display (SurfSense specific). + + Args: + step_id: Unique identifier for the step + title: The step title (e.g., "Analyzing your request") + status: Step status - "pending", "in_progress", or "completed" + items: Optional list of sub-items/details for this step + + Returns: + str: SSE formatted thinking step data part + """ + return self.format_data( + "thinking-step", + { + "id": step_id, + "title": title, + "status": status, + "items": items or [], + }, + ) + # ========================================================================= # Error Part # ========================================================================= diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index 9711445aa..cb40a82a8 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -154,6 +154,49 @@ async def stream_new_chat( # Reset text tracking for this stream accumulated_text = "" + # Track thinking steps for chain-of-thought display + thinking_step_counter = 0 + # Map run_id -> step_id for tool calls so we can update them on completion + tool_step_ids: dict[str, str] = {} + # Track the last active step so we can mark it complete at the end + last_active_step_id: str | None = None + last_active_step_title: str = "" + last_active_step_items: list[str] = [] + # Track which steps have been completed to avoid duplicate completions + completed_step_ids: set[str] = set() + # Track if we just finished a tool (text flows silently after tools) + just_finished_tool: bool = False + + def next_thinking_step_id() -> str: + nonlocal thinking_step_counter + thinking_step_counter += 1 + return f"thinking-{thinking_step_counter}" + + def complete_current_step() -> str | None: + """Complete the current active step and return the completion event, if any.""" + nonlocal last_active_step_id, last_active_step_title, last_active_step_items + if last_active_step_id and last_active_step_id not in completed_step_ids: + completed_step_ids.add(last_active_step_id) + return streaming_service.format_thinking_step( + step_id=last_active_step_id, + title=last_active_step_title, + status="completed", + items=last_active_step_items if last_active_step_items else None, + ) + return None + + # Initial thinking step - analyzing the request + analyze_step_id = next_thinking_step_id() + last_active_step_id = analyze_step_id + last_active_step_title = "Understanding your request" + last_active_step_items = [f"Processing: {user_query[:80]}{'...' if len(user_query) > 80 else ''}"] + yield streaming_service.format_thinking_step( + step_id=analyze_step_id, + title="Understanding your request", + status="in_progress", + items=last_active_step_items, + ) + # Stream the agent response with thread config for memory async for event in agent.astream_events( input_state, config=config, version="v2" @@ -168,6 +211,31 @@ async def stream_new_chat( if content and isinstance(content, str): # Start a new text block if needed if current_text_id is None: + # Complete any previous step + completion_event = complete_current_step() + if completion_event: + yield completion_event + + if just_finished_tool: + # We just finished a tool - don't create a step here, + # text will flow silently after tools. + # Clear the active step tracking. + last_active_step_id = None + last_active_step_title = "" + last_active_step_items = [] + just_finished_tool = False + else: + # Normal text generation (not after a tool) + gen_step_id = next_thinking_step_id() + last_active_step_id = gen_step_id + last_active_step_title = "Generating response" + last_active_step_items = [] + yield streaming_service.format_thinking_step( + step_id=gen_step_id, + title="Generating response", + status="in_progress", + ) + current_text_id = streaming_service.generate_text_id() yield streaming_service.format_text_start(current_text_id) @@ -188,6 +256,67 @@ async def stream_new_chat( yield streaming_service.format_text_end(current_text_id) current_text_id = None + # Complete any previous step EXCEPT "Synthesizing response" + # (we want to reuse the Synthesizing step after tools complete) + if last_active_step_title != "Synthesizing response": + completion_event = complete_current_step() + if completion_event: + yield completion_event + + # Reset the just_finished_tool flag since we're starting a new tool + just_finished_tool = False + + # Create thinking step for the tool call and store it for later update + tool_step_id = next_thinking_step_id() + tool_step_ids[run_id] = tool_step_id + last_active_step_id = tool_step_id + if tool_name == "search_knowledge_base": + query = ( + tool_input.get("query", "") + if isinstance(tool_input, dict) + else str(tool_input) + ) + last_active_step_title = "Searching knowledge base" + last_active_step_items = [f"Query: {query[:100]}{'...' if len(query) > 100 else ''}"] + yield streaming_service.format_thinking_step( + step_id=tool_step_id, + title="Searching knowledge base", + status="in_progress", + items=last_active_step_items, + ) + elif tool_name == "generate_podcast": + podcast_title = ( + tool_input.get("podcast_title", "SurfSense Podcast") + if isinstance(tool_input, dict) + else "SurfSense Podcast" + ) + # Get content length for context + content_len = len( + tool_input.get("source_content", "") + if isinstance(tool_input, dict) + else "" + ) + last_active_step_title = "Generating podcast" + last_active_step_items = [ + f"Title: {podcast_title}", + f"Content: {content_len:,} characters", + "Preparing audio generation...", + ] + yield streaming_service.format_thinking_step( + step_id=tool_step_id, + title="Generating podcast", + status="in_progress", + items=last_active_step_items, + ) + else: + last_active_step_title = f"Using {tool_name.replace('_', ' ')}" + last_active_step_items = [] + yield streaming_service.format_thinking_step( + step_id=tool_step_id, + title=last_active_step_title, + status="in_progress", + ) + # Stream tool info tool_call_id = ( f"call_{run_id[:32]}" @@ -254,6 +383,87 @@ async def stream_new_chat( tool_call_id = f"call_{run_id[:32]}" if run_id else "call_unknown" + # Get the original tool step ID to update it (not create a new one) + original_step_id = tool_step_ids.get(run_id, f"thinking-unknown-{run_id[:8]}") + + # Mark the tool thinking step as completed using the SAME step ID + # Also add to completed set so we don't try to complete it again + completed_step_ids.add(original_step_id) + if tool_name == "search_knowledge_base": + # Get result count if available + result_info = "Search completed" + if isinstance(tool_output, dict): + result_len = tool_output.get("result_length", 0) + if result_len > 0: + result_info = f"Found relevant information ({result_len} chars)" + # Include original query in completed items + completed_items = [*last_active_step_items, result_info] + yield streaming_service.format_thinking_step( + step_id=original_step_id, + title="Searching knowledge base", + status="completed", + items=completed_items, + ) + elif tool_name == "generate_podcast": + # Build detailed completion items based on podcast status + podcast_status = ( + tool_output.get("status", "unknown") + if isinstance(tool_output, dict) + else "unknown" + ) + podcast_title = ( + tool_output.get("title", "Podcast") + if isinstance(tool_output, dict) + else "Podcast" + ) + + if podcast_status == "processing": + completed_items = [ + f"Title: {podcast_title}", + "Audio generation started", + "Processing in background...", + ] + elif podcast_status == "already_generating": + completed_items = [ + f"Title: {podcast_title}", + "Podcast already in progress", + "Please wait for it to complete", + ] + elif podcast_status == "error": + error_msg = ( + tool_output.get("error", "Unknown error") + if isinstance(tool_output, dict) + else "Unknown error" + ) + completed_items = [ + f"Title: {podcast_title}", + f"Error: {error_msg[:50]}", + ] + else: + completed_items = last_active_step_items + + yield streaming_service.format_thinking_step( + step_id=original_step_id, + title="Generating podcast", + status="completed", + items=completed_items, + ) + else: + yield streaming_service.format_thinking_step( + step_id=original_step_id, + title=f"Using {tool_name.replace('_', ' ')}", + status="completed", + items=last_active_step_items, + ) + + # Mark that we just finished a tool - "Synthesizing response" will be created + # when text actually starts flowing (not immediately) + just_finished_tool = True + # Clear the active step since the tool is done + last_active_step_id = None + last_active_step_title = "" + last_active_step_items = [] + # Handle different tool outputs if tool_name == "generate_podcast": # Stream the full podcast result so frontend can render the audio player @@ -302,6 +512,11 @@ async def stream_new_chat( if current_text_id is not None: yield streaming_service.format_text_end(current_text_id) + # Mark the last active thinking step as completed using the same title + completion_event = complete_current_step() + if completion_event: + yield completion_event + # Finish the step and message yield streaming_service.format_finish_step() yield streaming_service.format_finish() diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index 1426ecea1..5d0838816 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -11,6 +11,7 @@ import { useCallback, useEffect, useMemo, useRef, useState } from "react"; import { toast } from "sonner"; import { Thread } from "@/components/assistant-ui/thread"; import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; +import type { ThinkingStep } from "@/components/tool-ui/deepagent-thinking"; import { getBearerToken } from "@/lib/auth-utils"; import { createAttachmentAdapter, extractAttachmentContent } from "@/lib/chat/attachment-adapter"; import { @@ -25,6 +26,23 @@ import { type MessageRecord, } from "@/lib/chat/thread-persistence"; +/** + * Extract thinking steps from message content + */ +function extractThinkingSteps(content: unknown): ThinkingStep[] { + if (!Array.isArray(content)) return []; + + const thinkingPart = content.find( + (part: unknown) => + typeof part === "object" && + part !== null && + "type" in part && + (part as { type: string }).type === "thinking-steps" + ) as { type: "thinking-steps"; steps: ThinkingStep[] } | undefined; + + return thinkingPart?.steps || []; +} + /** * Convert backend message to assistant-ui ThreadMessageLike format */ @@ -52,6 +70,16 @@ function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { */ const TOOLS_WITH_UI = new Set(["generate_podcast"]); +/** + * Type for thinking step data from the backend + */ +interface ThinkingStepData { + id: string; + title: string; + status: "pending" | "in_progress" | "completed"; + items: string[]; +} + export default function NewChatPage() { const params = useParams(); const router = useRouter(); @@ -59,6 +87,10 @@ export default function NewChatPage() { const [threadId, setThreadId] = useState(null); const [messages, setMessages] = useState([]); const [isRunning, setIsRunning] = useState(false); + // Store thinking steps per message ID + const [messageThinkingSteps, setMessageThinkingSteps] = useState< + Map + >(new Map()); const abortControllerRef = useRef(null); // Create the attachment adapter for file processing @@ -95,6 +127,20 @@ export default function NewChatPage() { if (response.messages && response.messages.length > 0) { const loadedMessages = response.messages.map(convertToThreadMessage); setMessages(loadedMessages); + + // Extract and restore thinking steps from persisted messages + const restoredThinkingSteps = new Map(); + for (const msg of response.messages) { + if (msg.role === "assistant") { + const steps = extractThinkingSteps(msg.content); + if (steps.length > 0) { + restoredThinkingSteps.set(`msg-${msg.id}`, steps); + } + } + } + if (restoredThinkingSteps.size > 0) { + setMessageThinkingSteps(restoredThinkingSteps); + } } } else { // Create new thread @@ -187,6 +233,7 @@ export default function NewChatPage() { // Prepare assistant message const assistantMsgId = `msg-assistant-${Date.now()}`; let accumulatedText = ""; + const currentThinkingSteps = new Map(); const toolCalls = new Map< string, { @@ -197,7 +244,7 @@ export default function NewChatPage() { } >(); - // Helper to build content + // Helper to build content (includes thinking steps for persistence) const buildContent = (): ThreadMessageLike["content"] => { const parts: Array< | { type: "text"; text: string } @@ -208,7 +255,20 @@ export default function NewChatPage() { args: Record; result?: unknown; } + | { + type: "thinking-steps"; + steps: ThinkingStepData[]; + } > = []; + + // Include thinking steps for persistence + if (currentThinkingSteps.size > 0) { + parts.push({ + type: "thinking-steps", + steps: Array.from(currentThinkingSteps.values()), + }); + } + if (accumulatedText) { parts.push({ type: "text", text: accumulatedText }); } @@ -367,6 +427,24 @@ export default function NewChatPage() { break; } + case "data-thinking-step": { + // Handle thinking step events for chain-of-thought display + const stepData = parsed.data as ThinkingStepData; + if (stepData?.id) { + currentThinkingSteps.set(stepData.id, stepData); + // Update message-specific thinking steps + setMessageThinkingSteps((prev) => { + const newMap = new Map(prev); + newMap.set( + assistantMsgId, + Array.from(currentThinkingSteps.values()) + ); + return newMap; + }); + } + break; + } + case "error": throw new Error(parsed.errorText || "Server error"); } @@ -415,6 +493,7 @@ export default function NewChatPage() { } finally { setIsRunning(false); abortControllerRef.current = null; + // Note: We no longer clear thinking steps - they persist with the message } }, [threadId, searchSpaceId, messages] @@ -483,7 +562,7 @@ export default function NewChatPage() {
          - +
          ); diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index 5b4e430d7..b33ad3c87 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -7,10 +7,13 @@ import { MessagePrimitive, ThreadPrimitive, useAssistantState, + useMessage, } from "@assistant-ui/react"; import { ArrowDownIcon, ArrowUpIcon, + Brain, + CheckCircle2, CheckIcon, ChevronLeftIcon, ChevronRightIcon, @@ -19,6 +22,8 @@ import { Loader2, PencilIcon, RefreshCwIcon, + Search, + Sparkles, SquareIcon, } from "lucide-react"; import Image from "next/image"; @@ -32,44 +37,134 @@ import { import { MarkdownText } from "@/components/assistant-ui/markdown-text"; import { ToolFallback } from "@/components/assistant-ui/tool-fallback"; import { TooltipIconButton } from "@/components/assistant-ui/tooltip-icon-button"; +import { + ChainOfThought, + ChainOfThoughtContent, + ChainOfThoughtItem, + ChainOfThoughtStep, + ChainOfThoughtTrigger, +} from "@/components/prompt-kit/chain-of-thought"; import { Button } from "@/components/ui/button"; import { cn } from "@/lib/utils"; import { currentUserAtom } from "@/atoms/user/user-query.atoms"; +import type { ThinkingStep } from "@/components/tool-ui/deepagent-thinking"; -export const Thread: FC = () => { +/** + * Props for the Thread component + */ +interface ThreadProps { + messageThinkingSteps?: Map; +} + +// Context to pass thinking steps to AssistantMessage +import { createContext, useContext } from "react"; + +const ThinkingStepsContext = createContext>(new Map()); + +/** + * Get icon based on step status and title + */ +function getStepIcon(status: "pending" | "in_progress" | "completed", title: string) { + const titleLower = title.toLowerCase(); + + if (status === "in_progress") { + return ; + } + + if (status === "completed") { + return ; + } + + if (titleLower.includes("search") || titleLower.includes("knowledge")) { + return ; + } + + if (titleLower.includes("analy") || titleLower.includes("understand")) { + return ; + } + + return ; +} + +/** + * Chain of thought display component + */ +const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[] }> = ({ steps }) => { + if (steps.length === 0) return null; + return ( - - + + {steps.map((step) => { + const icon = getStepIcon(step.status, step.title); + return ( + + + {step.title} + + {step.items && step.items.length > 0 && ( + + {step.items.map((item, index) => ( + + {item} + + ))} + + )} + + ); + })} + +
          + ); +}; + +export const Thread: FC = ({ messageThinkingSteps = new Map() }) => { + return ( + + - thread.isEmpty}> - - - - - - - - !thread.isEmpty}> -
          - -
          + + thread.isEmpty}> + -           - -           + + + + + + !thread.isEmpty}> +
          + +
          +           +           + + +           ); }; @@ -197,7 +292,7 @@ const ThreadWelcome: FC = () => { const Composer: FC = () => { return ( - + { ); }; -const AssistantMessage: FC = () => { +const AssistantMessageInner: FC = () => { + const thinkingStepsMap = useContext(ThinkingStepsContext); + + // Get the current message ID to look up thinking steps + const messageId = useMessage((m) => m.id); + const thinkingSteps = thinkingStepsMap.get(messageId) || []; + return ( - + <> + {/* Show thinking steps BEFORE the text response */} + {thinkingSteps.length > 0 && ( +
          + +
          + )} +
          {
          + + ); +}; + +const AssistantMessage: FC = () => { + return ( + + ); }; diff --git a/surfsense_web/components/prompt-kit/chain-of-thought.tsx b/surfsense_web/components/prompt-kit/chain-of-thought.tsx new file mode 100644 index 000000000..118ffeff7 --- /dev/null +++ b/surfsense_web/components/prompt-kit/chain-of-thought.tsx @@ -0,0 +1,148 @@ +"use client" + +import { + Collapsible, + CollapsibleContent, + CollapsibleTrigger, +} from "@/components/ui/collapsible" +import { cn } from "@/lib/utils" +import { Brain, ChevronDown, Circle, Loader2, Search, Sparkles, Lightbulb, CheckCircle2 } from "lucide-react" +import React from "react" + +export type ChainOfThoughtItemProps = React.ComponentProps<"div"> + +export const ChainOfThoughtItem = ({ + children, + className, + ...props +}: ChainOfThoughtItemProps) => ( +
          + {children} +
          +) + +export type ChainOfThoughtTriggerProps = React.ComponentProps< + typeof CollapsibleTrigger +> & { + leftIcon?: React.ReactNode + swapIconOnHover?: boolean +} + +export const ChainOfThoughtTrigger = ({ + children, + className, + leftIcon, + swapIconOnHover = true, + ...props +}: ChainOfThoughtTriggerProps) => ( + +
          + {leftIcon ? ( + + + {leftIcon} + + {swapIconOnHover && ( + + )} + + ) : ( + + + + )} + {children} +
          + {!leftIcon && ( + + )} +           +) + +export type ChainOfThoughtContentProps = React.ComponentProps< + typeof CollapsibleContent +> + +export const ChainOfThoughtContent = ({ + children, + className, + ...props +}: ChainOfThoughtContentProps) => { + return ( + +
          +
          +
          +
          {children}
          +
          + + ) +} + +export type ChainOfThoughtProps = { + children: React.ReactNode + className?: string +} + +export function ChainOfThought({ children, className }: ChainOfThoughtProps) { + const childrenArray = React.Children.toArray(children) + + return ( +
          + {childrenArray.map((child, index) => ( + + {React.isValidElement(child) && + React.cloneElement( + child as React.ReactElement, + { + isLast: index === childrenArray.length - 1, + } + )} + + ))} +
          + ) +} + +export type ChainOfThoughtStepProps = { + children: React.ReactNode + className?: string + isLast?: boolean +} + +export const ChainOfThoughtStep = ({ + children, + className, + isLast = false, + ...props +}: ChainOfThoughtStepProps & React.ComponentProps) => { + return ( + + {children} +
          +
          +
          + + ) +} diff --git a/surfsense_web/components/tool-ui/deepagent-thinking.tsx b/surfsense_web/components/tool-ui/deepagent-thinking.tsx new file mode 100644 index 000000000..f0c03e570 --- /dev/null +++ b/surfsense_web/components/tool-ui/deepagent-thinking.tsx @@ -0,0 +1,203 @@ +"use client"; + +import { makeAssistantToolUI } from "@assistant-ui/react"; +import { Brain, CheckCircle2, Loader2, Search, Sparkles } from "lucide-react"; +import { useMemo } from "react"; +import { + ChainOfThought, + ChainOfThoughtContent, + ChainOfThoughtItem, + ChainOfThoughtStep, + ChainOfThoughtTrigger, +} from "@/components/prompt-kit/chain-of-thought"; +import { cn } from "@/lib/utils"; + +/** + * Types for the deepagent thinking/reasoning tool + */ +interface ThinkingStep { + id: string; + title: string; + items: string[]; + status: "pending" | "in_progress" | "completed"; +} + +interface DeepAgentThinkingArgs { + query?: string; + context?: string; +} + +interface DeepAgentThinkingResult { + steps?: ThinkingStep[]; + status?: "thinking" | "searching" | "synthesizing" | "completed"; + summary?: string; +} + +/** + * Get icon based on step status and type + */ +function getStepIcon(status: "pending" | "in_progress" | "completed", title: string) { + // Check for specific step types based on title keywords + const titleLower = title.toLowerCase(); + + if (status === "in_progress") { + return ; + } + + if (status === "completed") { + return ; + } + + // Default icons based on step type + if (titleLower.includes("search") || titleLower.includes("knowledge")) { + return ; + } + + if (titleLower.includes("analy") || titleLower.includes("understand")) { + return ; + } + + return ; +} + +/** + * Component to display a single thinking step + */ +function ThinkingStepDisplay({ step }: { step: ThinkingStep }) { + const icon = useMemo(() => getStepIcon(step.status, step.title), [step.status, step.title]); + + return ( + + + {step.title} + + + {step.items.map((item, index) => ( + + {item} + + ))} + + + ); +} + +/** + * Loading state with animated thinking indicator + */ +function ThinkingLoadingState({ status }: { status?: string }) { + const statusText = useMemo(() => { + switch (status) { + case "searching": + return "Searching knowledge base..."; + case "synthesizing": + return "Synthesizing response..."; + case "thinking": + default: + return "Thinking..."; + } + }, [status]); + + return ( +
          +
          + + + + + +
          + {statusText} +
          + ); +} + +/** + * DeepAgent Thinking Tool UI Component + * + * This component displays the agent's chain-of-thought reasoning + * when the deepagent is processing a query. It shows thinking steps + * in a collapsible, hierarchical format. + */ +export const DeepAgentThinkingToolUI = makeAssistantToolUI< + DeepAgentThinkingArgs, + DeepAgentThinkingResult +>({ + toolName: "deepagent_thinking", + render: function DeepAgentThinkingUI({ args, result, status }) { + // Loading state - tool is still running + if (status.type === "running" || status.type === "requires-action") { + return ; + } + + // Incomplete/cancelled state + if (status.type === "incomplete") { + if (status.reason === "cancelled") { + return null; // Don't show anything if cancelled + } + if (status.reason === "error") { + return null; // Don't show error for thinking - it's not critical + } + } + + // No result or no steps - don't render anything + if (!result?.steps || result.steps.length === 0) { + return null; + } + + // Render the chain of thought + return ( +
          + + {result.steps.map((step) => ( + + ))} + +
          + ); + }, +}); + +/** + * Inline Thinking Display Component + * + * A simpler version that can be used inline with the message content + * for displaying reasoning without the full tool UI infrastructure. + */ +export function InlineThinkingDisplay({ + steps, + isStreaming = false, + className, +}: { + steps: ThinkingStep[]; + isStreaming?: boolean; + className?: string; +}) { + if (steps.length === 0 && !isStreaming) { + return null; + } + + return ( +
          + {isStreaming && steps.length === 0 ? ( + + ) : ( + + {steps.map((step) => ( + + ))} + + )} +
          + ); +} + +export type { ThinkingStep, DeepAgentThinkingArgs, DeepAgentThinkingResult }; + diff --git a/surfsense_web/components/tool-ui/index.ts b/surfsense_web/components/tool-ui/index.ts index 6125f625f..3cddfba21 100644 --- a/surfsense_web/components/tool-ui/index.ts +++ b/surfsense_web/components/tool-ui/index.ts @@ -8,3 +8,10 @@ export { Audio } from "./audio"; export { GeneratePodcastToolUI } from "./generate-podcast"; +export { + DeepAgentThinkingToolUI, + InlineThinkingDisplay, + type ThinkingStep, + type DeepAgentThinkingArgs, + type DeepAgentThinkingResult, +} from "./deepagent-thinking"; diff --git a/surfsense_web/components/ui/collapsible.tsx b/surfsense_web/components/ui/collapsible.tsx index 442972d7c..ae9fad04a 100644 --- a/surfsense_web/components/ui/collapsible.tsx +++ b/surfsense_web/components/ui/collapsible.tsx @@ -1,21 +1,33 @@ -"use client"; +"use client" -import * as CollapsiblePrimitive from "@radix-ui/react-collapsible"; +import * as CollapsiblePrimitive from "@radix-ui/react-collapsible" -function Collapsible({ ...props }: React.ComponentProps) { - return ; +function Collapsible({ + ...props +}: React.ComponentProps) { + return } function CollapsibleTrigger({ - ...props + ...props }: React.ComponentProps) { - return ; + return ( + + ) } function CollapsibleContent({ - ...props + ...props }: React.ComponentProps) { - return ; + return ( + + ) } -export { Collapsible, CollapsibleTrigger, CollapsibleContent }; +export { Collapsible, CollapsibleTrigger, CollapsibleContent } From d75ddf60876c0b3fe25df8fc1655bc56bc0148c4 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Mon, 22 Dec 2025 23:02:57 +0530 Subject: [PATCH 25/38] refactor: separate content building for UI and persistence, filtering out thinking steps for improved clarity --- .../new-chat/[[...chat_id]]/page.tsx | 60 ++++++++++++++----- 1 file changed, 44 insertions(+), 16 deletions(-) diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index 5d0838816..51a2f9875 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -45,6 +45,7 @@ function extractThinkingSteps(content: unknown): ThinkingStep[] { /** * Convert backend message to assistant-ui ThreadMessageLike format + * Filters out 'thinking-steps' part as it's handled separately */ function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { let content: ThreadMessageLike["content"]; @@ -52,7 +53,17 @@ function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { if (typeof msg.content === "string") { content = [{ type: "text", text: msg.content }]; } else if (Array.isArray(msg.content)) { - content = msg.content as ThreadMessageLike["content"]; + // Filter out thinking-steps part - it's handled separately via messageThinkingSteps + const filteredContent = msg.content.filter( + (part: unknown) => + !(typeof part === "object" && + part !== null && + "type" in part && + (part as { type: string }).type === "thinking-steps") + ); + content = filteredContent.length > 0 + ? (filteredContent as ThreadMessageLike["content"]) + : [{ type: "text", text: "" }]; } else { content = [{ type: "text", text: String(msg.content) }]; } @@ -244,8 +255,8 @@ export default function NewChatPage() { } >(); - // Helper to build content (includes thinking steps for persistence) - const buildContent = (): ThreadMessageLike["content"] => { + // Helper to build content for UI (without thinking-steps) + const buildContentForUI = (): ThreadMessageLike["content"] => { const parts: Array< | { type: "text"; text: string } | { @@ -255,12 +266,31 @@ export default function NewChatPage() { args: Record; result?: unknown; } - | { - type: "thinking-steps"; - steps: ThinkingStepData[]; - } > = []; + if (accumulatedText) { + parts.push({ type: "text", text: accumulatedText }); + } + for (const toolCall of toolCalls.values()) { + if (TOOLS_WITH_UI.has(toolCall.toolName)) { + parts.push({ + type: "tool-call", + toolCallId: toolCall.toolCallId, + toolName: toolCall.toolName, + args: toolCall.args, + result: toolCall.result, + }); + } + } + return parts.length > 0 + ? (parts as ThreadMessageLike["content"]) + : [{ type: "text", text: "" }]; + }; + + // Helper to build content for persistence (includes thinking-steps) + const buildContentForPersistence = (): unknown[] => { + const parts: unknown[] = []; + // Include thinking steps for persistence if (currentThinkingSteps.size > 0) { parts.push({ @@ -283,9 +313,7 @@ export default function NewChatPage() { }); } } - return parts.length > 0 - ? (parts as ThreadMessageLike["content"]) - : [{ type: "text", text: "" }]; + return parts.length > 0 ? parts : [{ type: "text", text: "" }]; }; // Add placeholder assistant message @@ -372,7 +400,7 @@ export default function NewChatPage() { accumulatedText += parsed.delta; setMessages((prev) => prev.map((m) => - m.id === assistantMsgId ? { ...m, content: buildContent() } : m + m.id === assistantMsgId ? { ...m, content: buildContentForUI() } : m ) ); break; @@ -385,7 +413,7 @@ export default function NewChatPage() { }); setMessages((prev) => prev.map((m) => - m.id === assistantMsgId ? { ...m, content: buildContent() } : m + m.id === assistantMsgId ? { ...m, content: buildContentForUI() } : m ) ); break; @@ -401,7 +429,7 @@ export default function NewChatPage() { }); setMessages((prev) => prev.map((m) => - m.id === assistantMsgId ? { ...m, content: buildContent() } : m + m.id === assistantMsgId ? { ...m, content: buildContentForUI() } : m ) ); break; @@ -421,7 +449,7 @@ export default function NewChatPage() { } setMessages((prev) => prev.map((m) => - m.id === assistantMsgId ? { ...m, content: buildContent() } : m + m.id === assistantMsgId ? { ...m, content: buildContentForUI() } : m ) ); break; @@ -459,8 +487,8 @@ export default function NewChatPage() { reader.releaseLock(); } - // Persist assistant message - const finalContent = buildContent(); + // Persist assistant message (with thinking steps for restoration on refresh) + const finalContent = buildContentForPersistence(); if (accumulatedText || toolCalls.size > 0) { appendMessage(threadId, { role: "assistant", From a3b22e61e5fc754ee2a65c40f60a7b12e8361805 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Mon, 22 Dec 2025 23:57:16 +0530 Subject: [PATCH 26/38] refactor: update connector navigation to use router.back() for improved user experience --- .../add/airtable-connector/page.tsx | 2 +- .../connectors/add/baidu-search-api/page.tsx | 2 +- .../add/bookstack-connector/page.tsx | 2 +- .../connectors/add/clickup-connector/page.tsx | 2 +- .../add/confluence-connector/page.tsx | 2 +- .../connectors/add/discord-connector/page.tsx | 2 +- .../add/elasticsearch-connector/page.tsx | 2 +- .../connectors/add/github-connector/page.tsx | 2 +- .../add/google-calendar-connector/page.tsx | 2 +- .../add/google-gmail-connector/page.tsx | 2 +- .../connectors/add/jira-connector/page.tsx | 2 +- .../connectors/add/linear-connector/page.tsx | 2 +- .../connectors/add/linkup-api/page.tsx | 2 +- .../connectors/add/luma-connector/page.tsx | 2 +- .../connectors/add/notion-connector/page.tsx | 2 +- .../connectors/add/searxng/page.tsx | 2 +- .../connectors/add/slack-connector/page.tsx | 2 +- .../connectors/add/tavily-api/page.tsx | 2 +- .../add/webcrawler-connector/page.tsx | 2 +- .../components/assistant-ui/thread.tsx | 223 ++++++++++++++++-- 20 files changed, 228 insertions(+), 33 deletions(-) diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/airtable-connector/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/airtable-connector/page.tsx index cc4330203..7ebbeec3f 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/airtable-connector/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/airtable-connector/page.tsx @@ -123,7 +123,7 @@ export default function AirtableConnectorPage() { diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/baidu-search-api/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/baidu-search-api/page.tsx index 3e9f4898e..e1a84a8ab 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/baidu-search-api/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/baidu-search-api/page.tsx @@ -126,7 +126,7 @@ export default function BaiduSearchApiPage() { diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/google-gmail-connector/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/google-gmail-connector/page.tsx index 8659d937c..41b9e42f8 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/google-gmail-connector/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/google-gmail-connector/page.tsx @@ -133,7 +133,7 @@ export default function GoogleGmailConnectorPage() { diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/jira-connector/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/jira-connector/page.tsx index 6f4e31114..132c58521 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/jira-connector/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/jira-connector/page.tsx @@ -125,7 +125,7 @@ export default function JiraConnectorPage() { diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/notion-connector/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/notion-connector/page.tsx index 310c31811..5cfd16a5f 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/notion-connector/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/notion-connector/page.tsx @@ -105,7 +105,7 @@ export default function NotionConnectorPage() { diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index b33ad3c87..1296ab28f 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -21,14 +21,22 @@ import { DownloadIcon, Loader2, PencilIcon, + Plug2, + Plus, RefreshCwIcon, Search, Sparkles, SquareIcon, } from "lucide-react"; import Image from "next/image"; -import type { FC } from "react"; +import Link from "next/link"; +import { type FC, useState, useRef, useCallback } from "react"; import { useAtomValue } from "jotai"; +import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; +import { useSearchSourceConnectors } from "@/hooks/use-search-source-connectors"; +import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; +import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; +import { connectorCategories } from "@/components/sources/connector-data"; import { ComposerAddAttachment, ComposerAttachments, @@ -197,14 +205,12 @@ const getTimeBasedGreeting = (userEmail?: string): string => { "Rise and shine", "Morning", "Hey there", - "Welcome back", ]; const afternoonGreetings = [ "Good afternoon", "Afternoon", "Hey there", - "Welcome back", "Hope you're having a great day", ]; @@ -212,27 +218,36 @@ const getTimeBasedGreeting = (userEmail?: string): string => { "Good evening", "Evening", "Hey there", - "Welcome back", "Hope you had a great day", ]; const nightGreetings = [ - "Late night", - "Still up", + "Good night", + "Evening", "Hey there", - "Welcome back", + "Winding down", + ]; + + const lateNightGreetings = [ "Burning the midnight oil", + "Still up", + "Night owl mode", + "The night is young", ]; // Select a random greeting based on time let greeting: string; - if (hour < 12) { + if (hour < 5) { + // Late night: midnight to 5 AM + greeting = lateNightGreetings[Math.floor(Math.random() * lateNightGreetings.length)]; + } else if (hour < 12) { greeting = morningGreetings[Math.floor(Math.random() * morningGreetings.length)]; - } else if (hour < 17) { + } else if (hour < 18) { greeting = afternoonGreetings[Math.floor(Math.random() * afternoonGreetings.length)]; - } else if (hour < 21) { + } else if (hour < 22) { greeting = eveningGreetings[Math.floor(Math.random() * eveningGreetings.length)]; } else { + // Night: 10 PM to midnight greeting = nightGreetings[Math.floor(Math.random() * nightGreetings.length)]; } @@ -251,7 +266,7 @@ const ThreadWelcome: FC = () => {
          {/* Greeting positioned near the composer */}
          -

          +

          {/** biome-ignore lint/a11y/noStaticElementInteractions: wrong lint error, this is a workaround to fix the lint error */}
          { SurfSense { ); }; +const ConnectorIndicator: FC = () => { + const searchSpaceId = useAtomValue(activeSearchSpaceIdAtom); + const { connectors, isLoading } = useSearchSourceConnectors(false, searchSpaceId ? Number(searchSpaceId) : undefined); + const [isOpen, setIsOpen] = useState(false); + const [searchQuery, setSearchQuery] = useState(""); + const closeTimeoutRef = useRef(null); + + const hasConnectors = connectors.length > 0; + + // Get connected connector types for comparison + const connectedTypes = new Set(connectors.map(c => c.connector_type)); + + // Flatten all available connectors from categories + const allAvailableConnectors = connectorCategories.flatMap(category => + category.connectors.filter(c => c.status === "available") + ); + + // Filter connectors based on search query + const filteredConnectors = allAvailableConnectors.filter(connector => + connector.title.toLowerCase().includes(searchQuery.toLowerCase()) + ); + + // Filter connected connectors based on search query + const filteredConnectedConnectors = connectors.filter(connector => + connector.name.toLowerCase().includes(searchQuery.toLowerCase()) + ); + + // Filter available (not connected) connectors + const filteredAvailableConnectors = filteredConnectors.filter(connector => { + // Map connector id to connector_type for comparison + const connectorTypeMap: Record = { + "webcrawler-connector": "WEBCRAWLER_CONNECTOR", + "tavily-api": "TAVILY_API", + "searxng": "SEARXNG_API", + "linkup-api": "LINKUP_API", + "baidu-search-api": "BAIDU_SEARCH_API", + "slack-connector": "SLACK_CONNECTOR", + "discord-connector": "DISCORD_CONNECTOR", + "linear-connector": "LINEAR_CONNECTOR", + "jira-connector": "JIRA_CONNECTOR", + "clickup-connector": "CLICKUP_CONNECTOR", + "notion-connector": "NOTION_CONNECTOR", + "confluence-connector": "CONFLUENCE_CONNECTOR", + "bookstack-connector": "BOOKSTACK_CONNECTOR", + "github-connector": "GITHUB_CONNECTOR", + "elasticsearch-connector": "ELASTICSEARCH_CONNECTOR", + "airtable-connector": "AIRTABLE_CONNECTOR", + "google-calendar-connector": "GOOGLE_CALENDAR_CONNECTOR", + "google-gmail-connector": "GOOGLE_GMAIL_CONNECTOR", + "luma-connector": "LUMA_CONNECTOR", + }; + const connectorType = connectorTypeMap[connector.id]; + return !connectorType || !connectedTypes.has(connectorType); + }); + + const handleMouseEnter = useCallback(() => { + // Clear any pending close timeout + if (closeTimeoutRef.current) { + clearTimeout(closeTimeoutRef.current); + closeTimeoutRef.current = null; + } + setIsOpen(true); + }, []); + + const handleMouseLeave = useCallback(() => { + // Delay closing by 150ms for better UX + closeTimeoutRef.current = setTimeout(() => { + setIsOpen(false); + setSearchQuery(""); // Reset search when closing + }, 150); + }, []); + + if (!searchSpaceId) return null; + + return ( + + + + + +
          + {/* Search input - sticky at top */} +
          +
          + + setSearchQuery(e.target.value)} + className="w-full pl-8 pr-3 py-1.5 text-sm bg-transparent border-none outline-none focus:ring-0 placeholder:text-muted-foreground" + /> +
          +
          + + {/* Connectors list - scrollable */} +
          + {/* Connected connectors first */} + {filteredConnectedConnectors.length > 0 && ( + <> + {filteredConnectedConnectors.map((connector) => ( + +
          +
          + {getConnectorIcon(connector.connector_type, "size-5")} +
          + {connector.name} +
          + + + ))} + {filteredAvailableConnectors.length > 0 && ( +
          + )} + + )} + + {/* Available connectors */} + {filteredAvailableConnectors.length > 0 ? ( + filteredAvailableConnectors.map((connector) => ( + +
          +
          + {connector.icon} +
          + {connector.title} +
          + + + )) + ) : filteredConnectedConnectors.length === 0 ? ( +
          + No connectors found +
          + ) : null} +
          +
          + + + ); +}; + const ComposerAction: FC = () => { // Check if any attachments are still being processed (running AND progress < 100) // When progress is 100, processing is done but waiting for send() @@ -329,7 +521,10 @@ const ComposerAction: FC = () => { return (
          - +
          + + +
          {/* Show processing indicator when attachments are being processed */} {hasProcessingAttachments && ( From 898b062bed6f958b99ea55b1d5f8ab8f12d5ee50 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Tue, 23 Dec 2025 00:22:50 +0530 Subject: [PATCH 27/38] fix: removed revamped connectors --- .../add/airtable-connector/page.tsx | 2 +- .../connectors/add/baidu-search-api/page.tsx | 2 +- .../add/bookstack-connector/page.tsx | 2 +- .../connectors/add/clickup-connector/page.tsx | 2 +- .../add/confluence-connector/page.tsx | 2 +- .../connectors/add/discord-connector/page.tsx | 2 +- .../add/elasticsearch-connector/page.tsx | 2 +- .../connectors/add/github-connector/page.tsx | 2 +- .../add/google-calendar-connector/page.tsx | 2 +- .../add/google-gmail-connector/page.tsx | 2 +- .../connectors/add/jira-connector/page.tsx | 2 +- .../connectors/add/linear-connector/page.tsx | 2 +- .../connectors/add/linkup-api/page.tsx | 2 +- .../connectors/add/luma-connector/page.tsx | 2 +- .../connectors/add/notion-connector/page.tsx | 2 +- .../connectors/add/searxng/page.tsx | 2 +- .../connectors/add/slack-connector/page.tsx | 2 +- .../connectors/add/tavily-api/page.tsx | 2 +- .../add/webcrawler-connector/page.tsx | 2 +- .../components/assistant-ui/thread.tsx | 148 +++++------------- 20 files changed, 55 insertions(+), 131 deletions(-) diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/airtable-connector/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/airtable-connector/page.tsx index 7ebbeec3f..cc4330203 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/airtable-connector/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/airtable-connector/page.tsx @@ -123,7 +123,7 @@ export default function AirtableConnectorPage() { diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/baidu-search-api/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/baidu-search-api/page.tsx index e1a84a8ab..3e9f4898e 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/baidu-search-api/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/baidu-search-api/page.tsx @@ -126,7 +126,7 @@ export default function BaiduSearchApiPage() { diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/google-gmail-connector/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/google-gmail-connector/page.tsx index 41b9e42f8..8659d937c 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/google-gmail-connector/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/google-gmail-connector/page.tsx @@ -133,7 +133,7 @@ export default function GoogleGmailConnectorPage() { diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/jira-connector/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/jira-connector/page.tsx index 132c58521..6f4e31114 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/jira-connector/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/jira-connector/page.tsx @@ -125,7 +125,7 @@ export default function JiraConnectorPage() { diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/notion-connector/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/notion-connector/page.tsx index 5cfd16a5f..310c31811 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/notion-connector/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/notion-connector/page.tsx @@ -105,7 +105,7 @@ export default function NotionConnectorPage() { diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index 1296ab28f..30e2a42d9 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -36,7 +36,6 @@ import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-quer import { useSearchSourceConnectors } from "@/hooks/use-search-source-connectors"; import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; -import { connectorCategories } from "@/components/sources/connector-data"; import { ComposerAddAttachment, ComposerAttachments, @@ -326,57 +325,10 @@ const ConnectorIndicator: FC = () => { const searchSpaceId = useAtomValue(activeSearchSpaceIdAtom); const { connectors, isLoading } = useSearchSourceConnectors(false, searchSpaceId ? Number(searchSpaceId) : undefined); const [isOpen, setIsOpen] = useState(false); - const [searchQuery, setSearchQuery] = useState(""); const closeTimeoutRef = useRef(null); const hasConnectors = connectors.length > 0; - // Get connected connector types for comparison - const connectedTypes = new Set(connectors.map(c => c.connector_type)); - - // Flatten all available connectors from categories - const allAvailableConnectors = connectorCategories.flatMap(category => - category.connectors.filter(c => c.status === "available") - ); - - // Filter connectors based on search query - const filteredConnectors = allAvailableConnectors.filter(connector => - connector.title.toLowerCase().includes(searchQuery.toLowerCase()) - ); - - // Filter connected connectors based on search query - const filteredConnectedConnectors = connectors.filter(connector => - connector.name.toLowerCase().includes(searchQuery.toLowerCase()) - ); - - // Filter available (not connected) connectors - const filteredAvailableConnectors = filteredConnectors.filter(connector => { - // Map connector id to connector_type for comparison - const connectorTypeMap: Record = { - "webcrawler-connector": "WEBCRAWLER_CONNECTOR", - "tavily-api": "TAVILY_API", - "searxng": "SEARXNG_API", - "linkup-api": "LINKUP_API", - "baidu-search-api": "BAIDU_SEARCH_API", - "slack-connector": "SLACK_CONNECTOR", - "discord-connector": "DISCORD_CONNECTOR", - "linear-connector": "LINEAR_CONNECTOR", - "jira-connector": "JIRA_CONNECTOR", - "clickup-connector": "CLICKUP_CONNECTOR", - "notion-connector": "NOTION_CONNECTOR", - "confluence-connector": "CONFLUENCE_CONNECTOR", - "bookstack-connector": "BOOKSTACK_CONNECTOR", - "github-connector": "GITHUB_CONNECTOR", - "elasticsearch-connector": "ELASTICSEARCH_CONNECTOR", - "airtable-connector": "AIRTABLE_CONNECTOR", - "google-calendar-connector": "GOOGLE_CALENDAR_CONNECTOR", - "google-gmail-connector": "GOOGLE_GMAIL_CONNECTOR", - "luma-connector": "LUMA_CONNECTOR", - }; - const connectorType = connectorTypeMap[connector.id]; - return !connectorType || !connectedTypes.has(connectorType); - }); - const handleMouseEnter = useCallback(() => { // Clear any pending close timeout if (closeTimeoutRef.current) { @@ -390,7 +342,6 @@ const ConnectorIndicator: FC = () => { // Delay closing by 150ms for better UX closeTimeoutRef.current = setTimeout(() => { setIsOpen(false); - setSearchQuery(""); // Reset search when closing }, 150); }, []); @@ -425,75 +376,48 @@ const ConnectorIndicator: FC = () => { -
          - {/* Search input - sticky at top */} -
          -
          - - setSearchQuery(e.target.value)} - className="w-full pl-8 pr-3 py-1.5 text-sm bg-transparent border-none outline-none focus:ring-0 placeholder:text-muted-foreground" - /> -
          -
          - - {/* Connectors list - scrollable */} -
          - {/* Connected connectors first */} - {filteredConnectedConnectors.length > 0 && ( - <> - {filteredConnectedConnectors.map((connector) => ( - -
          -
          - {getConnectorIcon(connector.connector_type, "size-5")} -
          - {connector.name} -
          - - - ))} - {filteredAvailableConnectors.length > 0 && ( -
          - )} - - )} - - {/* Available connectors */} - {filteredAvailableConnectors.length > 0 ? ( - filteredAvailableConnectors.map((connector) => ( - +

          + Connected Sources ({connectors.length}) +

          +
          + {connectors.map((connector) => ( +
          -
          -
          - {connector.icon} -
          - {connector.title} -
          - - - )) - ) : filteredConnectedConnectors.length === 0 ? ( -
          - No connectors found -
          - ) : null} + {getConnectorIcon(connector.connector_type, "size-3")} + {connector.name} +
          + ))} +
          + + Manage connectors → +
          -
          + ) : ( +
          +

          No connectors yet

          +

          + Connect your first data source to enhance search results. +

          + + + Add Connector + +
          + )} ); From 3703487c593c6ff8442976d0a0939d8437e37d61 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Tue, 23 Dec 2025 00:26:45 +0530 Subject: [PATCH 28/38] style: improve connector display and layout in the UI for better readability and user interaction --- .../components/assistant-ui/thread.tsx | 33 ++++++++++++------- 1 file changed, 21 insertions(+), 12 deletions(-) diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index 30e2a42d9..aaf35c329 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -381,27 +381,36 @@ const ConnectorIndicator: FC = () => { onMouseLeave={handleMouseLeave} > {hasConnectors ? ( -
          -

          - Connected Sources ({connectors.length}) -

          +
          +
          +

          + Connected Sources +

          + + {connectors.length} + +
          {connectors.map((connector) => (
          - {getConnectorIcon(connector.connector_type, "size-3")} + {getConnectorIcon(connector.connector_type, "size-3.5")} {connector.name}
          ))}
          - - Manage connectors → - +
          + + + Manage connectors + + +
          ) : (
          From 28985e6af45eecea4a9192919fb2d963262a0995 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Tue, 23 Dec 2025 00:35:08 +0530 Subject: [PATCH 29/38] style: update greeting messages for improved user engagement and consistency --- surfsense_web/components/assistant-ui/thread.tsx | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index aaf35c329..57408391d 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -210,14 +210,14 @@ const getTimeBasedGreeting = (userEmail?: string): string => { "Good afternoon", "Afternoon", "Hey there", - "Hope you're having a great day", + "Hi there", ]; const eveningGreetings = [ "Good evening", "Evening", "Hey there", - "Hope you had a great day", + "Hi there", ]; const nightGreetings = [ @@ -228,10 +228,10 @@ const getTimeBasedGreeting = (userEmail?: string): string => { ]; const lateNightGreetings = [ - "Burning the midnight oil", "Still up", "Night owl mode", "The night is young", + "Hi there", ]; // Select a random greeting based on time @@ -358,9 +358,7 @@ const ConnectorIndicator: FC = () => { "outline-none focus:outline-none focus-visible:outline-none", "border-0 ring-0 focus:ring-0 shadow-none focus:shadow-none", "data-[state=open]:bg-transparent data-[state=open]:shadow-none data-[state=open]:ring-0", - hasConnectors - ? "text-muted-foreground" - : "text-muted-foreground/60" + "text-muted-foreground" )} aria-label={hasConnectors ? "View connected sources" : "Add your first connector"} onMouseEnter={handleMouseEnter} From 4b69fdf214dae95198929bb51b543248392a0313 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Tue, 23 Dec 2025 00:58:27 +0530 Subject: [PATCH 30/38] feat: add link preview tool for enhanced URL metadata display in chat --- .../app/agents/new_chat/chat_deepagent.py | 9 + .../app/agents/new_chat/link_preview.py | 292 ++++++++++++++ .../app/agents/new_chat/system_prompt.py | 22 + .../app/tasks/chat/stream_new_chat.py | 87 +++- .../new-chat/[[...chat_id]]/page.tsx | 4 +- surfsense_web/components/tool-ui/index.ts | 17 + .../components/tool-ui/link-preview.tsx | 226 +++++++++++ .../components/tool-ui/media-card/index.tsx | 381 ++++++++++++++++++ 8 files changed, 1035 insertions(+), 3 deletions(-) create mode 100644 surfsense_backend/app/agents/new_chat/link_preview.py create mode 100644 surfsense_web/components/tool-ui/link-preview.tsx create mode 100644 surfsense_web/components/tool-ui/media-card/index.tsx diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py index 1c97a05ad..23db4f813 100644 --- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py +++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py @@ -15,6 +15,7 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.agents.new_chat.context import SurfSenseContextSchema from app.agents.new_chat.knowledge_base import create_search_knowledge_base_tool +from app.agents.new_chat.link_preview import create_link_preview_tool from app.agents.new_chat.podcast import create_generate_podcast_tool from app.agents.new_chat.system_prompt import build_surfsense_system_prompt from app.services.connector_service import ConnectorService @@ -34,6 +35,7 @@ def create_surfsense_deep_agent( user_instructions: str | None = None, enable_citations: bool = True, enable_podcast: bool = True, + enable_link_preview: bool = True, additional_tools: Sequence[BaseTool] | None = None, ): """ @@ -53,6 +55,8 @@ def create_surfsense_deep_agent( When False, the agent will not be instructed to add citations to responses. enable_podcast: Whether to include the podcast generation tool (default: True). When True and user_id is provided, the agent can generate podcasts. + enable_link_preview: Whether to include the link preview tool (default: True). + When True, the agent can fetch and display rich link previews. additional_tools: Optional sequence of additional tools to inject into the agent. The search_knowledge_base tool will always be included. @@ -78,6 +82,11 @@ def create_surfsense_deep_agent( ) tools.append(podcast_tool) + # Add link preview tool if enabled + if enable_link_preview: + link_preview_tool = create_link_preview_tool() + tools.append(link_preview_tool) + if additional_tools: tools.extend(additional_tools) diff --git a/surfsense_backend/app/agents/new_chat/link_preview.py b/surfsense_backend/app/agents/new_chat/link_preview.py new file mode 100644 index 000000000..388a6c14e --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/link_preview.py @@ -0,0 +1,292 @@ +""" +Link preview tool for the new chat agent. + +This module provides a tool for fetching URL metadata (title, description, +Open Graph image, etc.) to display rich link previews in the chat UI. +""" + +import hashlib +import re +from typing import Any +from urllib.parse import urlparse + +import httpx +from langchain_core.tools import tool + + +def extract_domain(url: str) -> str: + """Extract the domain from a URL.""" + try: + parsed = urlparse(url) + domain = parsed.netloc + # Remove 'www.' prefix if present + if domain.startswith("www."): + domain = domain[4:] + return domain + except Exception: + return "" + + +def extract_og_content(html: str, property_name: str) -> str | None: + """Extract Open Graph meta content from HTML.""" + # Try og:property first + pattern = rf']+property=["\']og:{property_name}["\'][^>]+content=["\']([^"\']+)["\']' + match = re.search(pattern, html, re.IGNORECASE) + if match: + return match.group(1) + + # Try content before property + pattern = rf']+content=["\']([^"\']+)["\'][^>]+property=["\']og:{property_name}["\']' + match = re.search(pattern, html, re.IGNORECASE) + if match: + return match.group(1) + + return None + + +def extract_twitter_content(html: str, name: str) -> str | None: + """Extract Twitter Card meta content from HTML.""" + pattern = rf']+name=["\']twitter:{name}["\'][^>]+content=["\']([^"\']+)["\']' + match = re.search(pattern, html, re.IGNORECASE) + if match: + return match.group(1) + + # Try content before name + pattern = rf']+content=["\']([^"\']+)["\'][^>]+name=["\']twitter:{name}["\']' + match = re.search(pattern, html, re.IGNORECASE) + if match: + return match.group(1) + + return None + + +def extract_meta_description(html: str) -> str | None: + """Extract meta description from HTML.""" + pattern = r']+name=["\']description["\'][^>]+content=["\']([^"\']+)["\']' + match = re.search(pattern, html, re.IGNORECASE) + if match: + return match.group(1) + + # Try content before name + pattern = r']+content=["\']([^"\']+)["\'][^>]+name=["\']description["\']' + match = re.search(pattern, html, re.IGNORECASE) + if match: + return match.group(1) + + return None + + +def extract_title(html: str) -> str | None: + """Extract title from HTML.""" + # Try og:title first + og_title = extract_og_content(html, "title") + if og_title: + return og_title + + # Try twitter:title + twitter_title = extract_twitter_content(html, "title") + if twitter_title: + return twitter_title + + # Fall back to tag + pattern = r"<title[^>]*>([^<]+)" + match = re.search(pattern, html, re.IGNORECASE) + if match: + return match.group(1).strip() + + return None + + +def extract_description(html: str) -> str | None: + """Extract description from HTML.""" + # Try og:description first + og_desc = extract_og_content(html, "description") + if og_desc: + return og_desc + + # Try twitter:description + twitter_desc = extract_twitter_content(html, "description") + if twitter_desc: + return twitter_desc + + # Fall back to meta description + return extract_meta_description(html) + + +def extract_image(html: str) -> str | None: + """Extract image URL from HTML.""" + # Try og:image first + og_image = extract_og_content(html, "image") + if og_image: + return og_image + + # Try twitter:image + twitter_image = extract_twitter_content(html, "image") + if twitter_image: + return twitter_image + + return None + + +def generate_preview_id(url: str) -> str: + """Generate a unique ID for a link preview.""" + hash_val = hashlib.md5(url.encode()).hexdigest()[:12] + return f"link-preview-{hash_val}" + + +def create_link_preview_tool(): + """ + Factory function to create the link_preview tool. + + Returns: + A configured tool function for fetching link previews. + """ + + @tool + async def link_preview(url: str) -> dict[str, Any]: + """ + Fetch metadata for a URL to display a rich link preview. + + Use this tool when the user shares a URL or asks about a specific webpage. + This tool fetches the page's Open Graph metadata (title, description, image) + to display a nice preview card in the chat. + + Common triggers include: + - User shares a URL in the chat + - User asks "What's this link about?" or similar + - User says "Show me a preview of this page" + - User wants to preview an article or webpage + + Args: + url: The URL to fetch metadata for. Must be a valid HTTP/HTTPS URL. + + Returns: + A dictionary containing: + - id: Unique identifier for this preview + - assetId: The URL itself (for deduplication) + - kind: "link" (type of media card) + - href: The URL to open when clicked + - title: Page title + - description: Page description (if available) + - thumb: Thumbnail/preview image URL (if available) + - domain: The domain name + - error: Error message (if fetch failed) + """ + preview_id = generate_preview_id(url) + domain = extract_domain(url) + + # Validate URL + if not url.startswith(("http://", "https://")): + url = f"https://{url}" + + try: + async with httpx.AsyncClient( + timeout=10.0, + follow_redirects=True, + headers={ + "User-Agent": "Mozilla/5.0 (compatible; SurfSenseBot/1.0; +https://surfsense.net)", + "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", + "Accept-Language": "en-US,en;q=0.5", + }, + ) as client: + response = await client.get(url) + response.raise_for_status() + + # Get content type to ensure it's HTML + content_type = response.headers.get("content-type", "") + if "text/html" not in content_type.lower(): + # Not an HTML page, return basic info + return { + "id": preview_id, + "assetId": url, + "kind": "link", + "href": url, + "title": url.split("/")[-1] or domain, + "description": f"File from {domain}", + "domain": domain, + } + + html = response.text + + # Extract metadata + title = extract_title(html) or domain + description = extract_description(html) + image = extract_image(html) + + # Make sure image URL is absolute + if image and not image.startswith(("http://", "https://")): + if image.startswith("//"): + image = f"https:{image}" + elif image.startswith("/"): + parsed = urlparse(url) + image = f"{parsed.scheme}://{parsed.netloc}{image}" + + # Clean up title and description (unescape HTML entities) + if title: + title = ( + title.replace("&", "&") + .replace("<", "<") + .replace(">", ">") + .replace(""", '"') + .replace("'", "'") + .replace("'", "'") + ) + if description: + description = ( + description.replace("&", "&") + .replace("<", "<") + .replace(">", ">") + .replace(""", '"') + .replace("'", "'") + .replace("'", "'") + ) + # Truncate long descriptions + if len(description) > 200: + description = description[:197] + "..." + + return { + "id": preview_id, + "assetId": url, + "kind": "link", + "href": url, + "title": title, + "description": description, + "thumb": image, + "domain": domain, + } + + except httpx.TimeoutException: + return { + "id": preview_id, + "assetId": url, + "kind": "link", + "href": url, + "title": domain or "Link", + "domain": domain, + "error": "Request timed out", + } + except httpx.HTTPStatusError as e: + return { + "id": preview_id, + "assetId": url, + "kind": "link", + "href": url, + "title": domain or "Link", + "domain": domain, + "error": f"HTTP {e.response.status_code}", + } + except Exception as e: + error_message = str(e) + print(f"[link_preview] Error fetching {url}: {error_message}") + return { + "id": preview_id, + "assetId": url, + "kind": "link", + "href": url, + "title": domain or "Link", + "domain": domain, + "error": f"Failed to fetch: {error_message[:50]}", + } + + return link_preview + diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py index f725be684..32e649e5d 100644 --- a/surfsense_backend/app/agents/new_chat/system_prompt.py +++ b/surfsense_backend/app/agents/new_chat/system_prompt.py @@ -145,6 +145,19 @@ You have access to the following tools: - Returns: A task_id for tracking. The podcast will be generated in the background. - IMPORTANT: Only one podcast can be generated at a time. If a podcast is already being generated, the tool will return status "already_generating". - After calling this tool, inform the user that podcast generation has started and they will see the player when it's ready (takes 3-5 minutes). + +3. link_preview: Fetch metadata for a URL to display a rich preview card. + - IMPORTANT: Use this tool WHENEVER the user shares or mentions a URL/link in their message. + - This fetches the page's Open Graph metadata (title, description, thumbnail) to show a preview card. + - NOTE: This tool only fetches metadata, NOT the full page content. It cannot read the article text. + - Trigger scenarios: + * User shares a URL (e.g., "Check out https://example.com") + * User pastes a link in their message + * User asks about a URL or link + - Args: + - url: The URL to fetch metadata for (must be a valid HTTP/HTTPS URL) + - Returns: A rich preview card with title, description, thumbnail, and domain + - The preview card will automatically be displayed in the chat. - User: "Fetch all my notes and what's in them?" @@ -162,6 +175,15 @@ You have access to the following tools: - User: "Make a podcast about quantum computing" - First search: `search_knowledge_base(query="quantum computing")` - Then: `generate_podcast(source_content="Key insights about quantum computing from the knowledge base:\n\n[Comprehensive summary of all relevant search results with key facts, concepts, and findings]", podcast_title="Quantum Computing Explained")` + +- User: "Check out https://dev.to/some-article" + - Call: `link_preview(url="https://dev.to/some-article")` + +- User: "What's this blog post about? https://example.com/blog/post" + - Call: `link_preview(url="https://example.com/blog/post")` + +- User: "https://github.com/some/repo" + - Call: `link_preview(url="https://github.com/some/repo")` {citation_section} """ diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index cb40a82a8..853fb3392 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -284,6 +284,20 @@ async def stream_new_chat( status="in_progress", items=last_active_step_items, ) + elif tool_name == "link_preview": + url = ( + tool_input.get("url", "") + if isinstance(tool_input, dict) + else str(tool_input) + ) + last_active_step_title = "Fetching link preview" + last_active_step_items = [f"URL: {url[:80]}{'...' if len(url) > 80 else ''}"] + yield streaming_service.format_thinking_step( + step_id=tool_step_id, + title="Fetching link preview", + status="in_progress", + items=last_active_step_items, + ) elif tool_name == "generate_podcast": podcast_title = ( tool_input.get("podcast_title", "SurfSense Podcast") @@ -343,6 +357,16 @@ async def stream_new_chat( f"Searching knowledge base: {query[:100]}{'...' if len(query) > 100 else ''}", "info", ) + elif tool_name == "link_preview": + url = ( + tool_input.get("url", "") + if isinstance(tool_input, dict) + else str(tool_input) + ) + yield streaming_service.format_terminal_info( + f"Fetching link preview: {url[:80]}{'...' if len(url) > 80 else ''}", + "info", + ) elif tool_name == "generate_podcast": title = ( tool_input.get("podcast_title", "SurfSense Podcast") @@ -404,6 +428,31 @@ async def stream_new_chat( status="completed", items=completed_items, ) + elif tool_name == "link_preview": + # Build completion items based on link preview result + if isinstance(tool_output, dict): + title = tool_output.get("title", "Link") + domain = tool_output.get("domain", "") + has_error = "error" in tool_output + if has_error: + completed_items = [ + *last_active_step_items, + f"Error: {tool_output.get('error', 'Failed to fetch')}", + ] + else: + completed_items = [ + *last_active_step_items, + f"Title: {title[:60]}{'...' if len(title) > 60 else ''}", + f"Domain: {domain}" if domain else "Preview loaded", + ] + else: + completed_items = [*last_active_step_items, "Preview loaded"] + yield streaming_service.format_thinking_step( + step_id=original_step_id, + title="Fetching link preview", + status="completed", + items=completed_items, + ) elif tool_name == "generate_podcast": # Build detailed completion items based on podcast status podcast_status = ( @@ -492,8 +541,33 @@ async def stream_new_chat( f"Podcast generation failed: {error_msg}", "error", ) - else: - # Don't stream the full output for other tools (can be very large), just acknowledge + elif tool_name == "link_preview": + # Stream the full link preview result so frontend can render the MediaCard + yield streaming_service.format_tool_output_available( + tool_call_id, + tool_output + if isinstance(tool_output, dict) + else {"result": tool_output}, + ) + # Send appropriate terminal message + if isinstance(tool_output, dict) and "error" not in tool_output: + title = tool_output.get("title", "Link") + yield streaming_service.format_terminal_info( + f"Link preview loaded: {title[:50]}{'...' if len(title) > 50 else ''}", + "success", + ) + else: + error_msg = ( + tool_output.get("error", "Failed to fetch") + if isinstance(tool_output, dict) + else "Failed to fetch" + ) + yield streaming_service.format_terminal_info( + f"Link preview failed: {error_msg}", + "error", + ) + elif tool_name == "search_knowledge_base": + # Don't stream the full output for search (can be very large), just acknowledge yield streaming_service.format_tool_output_available( tool_call_id, {"status": "completed", "result_length": len(str(tool_output))}, @@ -501,6 +575,15 @@ async def stream_new_chat( yield streaming_service.format_terminal_info( "Knowledge base search completed", "success" ) + else: + # Default handling for other tools + yield streaming_service.format_tool_output_available( + tool_call_id, + {"status": "completed", "result_length": len(str(tool_output))}, + ) + yield streaming_service.format_terminal_info( + f"Tool {tool_name} completed", "success" + ) # Handle chain/agent end to close any open text blocks elif event_type in ("on_chain_end", "on_agent_end"): diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index 51a2f9875..4d45db118 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -11,6 +11,7 @@ import { useCallback, useEffect, useMemo, useRef, useState } from "react"; import { toast } from "sonner"; import { Thread } from "@/components/assistant-ui/thread"; import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; +import { LinkPreviewToolUI } from "@/components/tool-ui/link-preview"; import type { ThinkingStep } from "@/components/tool-ui/deepagent-thinking"; import { getBearerToken } from "@/lib/auth-utils"; import { createAttachmentAdapter, extractAttachmentContent } from "@/lib/chat/attachment-adapter"; @@ -79,7 +80,7 @@ function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { /** * Tools that should render custom UI in the chat. */ -const TOOLS_WITH_UI = new Set(["generate_podcast"]); +const TOOLS_WITH_UI = new Set(["generate_podcast", "link_preview"]); /** * Type for thinking step data from the backend @@ -589,6 +590,7 @@ export default function NewChatPage() { return ( +
          diff --git a/surfsense_web/components/tool-ui/index.ts b/surfsense_web/components/tool-ui/index.ts index 3cddfba21..aebe400d5 100644 --- a/surfsense_web/components/tool-ui/index.ts +++ b/surfsense_web/components/tool-ui/index.ts @@ -15,3 +15,20 @@ export { type DeepAgentThinkingArgs, type DeepAgentThinkingResult, } from "./deepagent-thinking"; +export { + LinkPreviewToolUI, + MultiLinkPreviewToolUI, + type LinkPreviewArgs, + type LinkPreviewResult, + type MultiLinkPreviewArgs, + type MultiLinkPreviewResult, +} from "./link-preview"; +export { + MediaCard, + MediaCardErrorBoundary, + MediaCardLoading, + MediaCardSkeleton, + parseSerializableMediaCard, + type MediaCardProps, + type SerializableMediaCard, +} from "./media-card"; diff --git a/surfsense_web/components/tool-ui/link-preview.tsx b/surfsense_web/components/tool-ui/link-preview.tsx new file mode 100644 index 000000000..c97b6820b --- /dev/null +++ b/surfsense_web/components/tool-ui/link-preview.tsx @@ -0,0 +1,226 @@ +"use client"; + +import { makeAssistantToolUI } from "@assistant-ui/react"; +import { AlertCircleIcon, ExternalLinkIcon, LinkIcon } from "lucide-react"; +import { + MediaCard, + MediaCardErrorBoundary, + MediaCardLoading, + parseSerializableMediaCard, + type SerializableMediaCard, +} from "@/components/tool-ui/media-card"; + +/** + * Type definitions for the link_preview tool + */ +interface LinkPreviewArgs { + url: string; + title?: string; +} + +interface LinkPreviewResult { + id: string; + assetId: string; + kind: "link"; + href: string; + title: string; + description?: string; + thumb?: string; + domain?: string; + error?: string; +} + +/** + * Error state component shown when link preview fails + */ +function LinkPreviewErrorState({ url, error }: { url: string; error: string }) { + return ( +
          +
          +
          + +
          +
          +

          Failed to load preview

          +

          {url}

          +

          {error}

          +
          +
          +
          + ); +} + +/** + * Cancelled state component + */ +function LinkPreviewCancelledState({ url }: { url: string }) { + return ( +
          +

          + + Preview: {url} +

          +
          + ); +} + +/** + * Parsed MediaCard component with error handling + */ +function ParsedMediaCard({ result }: { result: unknown }) { + const card = parseSerializableMediaCard(result); + + return ( + { + if (id === "open" && card.href) { + window.open(card.href, "_blank", "noopener,noreferrer"); + } + }} + /> + ); +} + +/** + * Link Preview Tool UI Component + * + * This component is registered with assistant-ui to render a rich + * link preview card when the link_preview tool is called by the agent. + * + * It displays website metadata including: + * - Title and description + * - Thumbnail/Open Graph image + * - Domain name + * - Clickable link to open in new tab + */ +export const LinkPreviewToolUI = makeAssistantToolUI< + LinkPreviewArgs, + LinkPreviewResult +>({ + toolName: "link_preview", + render: function LinkPreviewUI({ args, result, status }) { + const url = args.url || "Unknown URL"; + + // Loading state - tool is still running + if (status.type === "running" || status.type === "requires-action") { + return ( +
          + +
          + ); + } + + // Incomplete/cancelled state + if (status.type === "incomplete") { + if (status.reason === "cancelled") { + return ; + } + if (status.reason === "error") { + return ( + + ); + } + } + + // No result yet + if (!result) { + return ( +
          + +
          + ); + } + + // Error result from the tool + if (result.error) { + return ; + } + + // Success - render the media card + return ( +
          + + + +
          + ); + }, +}); + +/** + * Multiple Link Previews Tool UI Component + * + * This component handles cases where multiple links need to be previewed. + * It renders a grid of link preview cards. + */ +interface MultiLinkPreviewArgs { + urls: string[]; +} + +interface MultiLinkPreviewResult { + previews: LinkPreviewResult[]; + errors?: { url: string; error: string }[]; +} + +export const MultiLinkPreviewToolUI = makeAssistantToolUI< + MultiLinkPreviewArgs, + MultiLinkPreviewResult +>({ + toolName: "multi_link_preview", + render: function MultiLinkPreviewUI({ args, result, status }) { + const urls = args.urls || []; + + // Loading state + if (status.type === "running" || status.type === "requires-action") { + return ( +
          + {urls.slice(0, 4).map((url, index) => ( + + ))} +
          + ); + } + + // Incomplete state + if (status.type === "incomplete") { + return ( +
          +

          + + Link previews cancelled +

          +
          + ); + } + + // No result + if (!result || !result.previews) { + return null; + } + + // Render grid of previews + return ( +
          + {result.previews.map((preview) => ( + + + + ))} + {result.errors?.map((err) => ( + + ))} +
          + ); + }, +}); + +export type { LinkPreviewArgs, LinkPreviewResult, MultiLinkPreviewArgs, MultiLinkPreviewResult }; + diff --git a/surfsense_web/components/tool-ui/media-card/index.tsx b/surfsense_web/components/tool-ui/media-card/index.tsx new file mode 100644 index 000000000..47c28e49b --- /dev/null +++ b/surfsense_web/components/tool-ui/media-card/index.tsx @@ -0,0 +1,381 @@ +"use client"; + +import { ExternalLinkIcon, Globe, ImageIcon, LinkIcon, Loader2 } from "lucide-react"; +import Image from "next/image"; +import { Component, type ReactNode } from "react"; +import { Badge } from "@/components/ui/badge"; +import { Button } from "@/components/ui/button"; +import { Card, CardContent } from "@/components/ui/card"; +import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from "@/components/ui/tooltip"; +import { cn } from "@/lib/utils"; + +/** + * Aspect ratio options for media cards + */ +type AspectRatio = "1:1" | "4:3" | "16:9" | "21:9" | "auto"; + +/** + * MediaCard kind - determines the display style + */ +type MediaCardKind = "link" | "image" | "video" | "audio"; + +/** + * Response action configuration + */ +interface ResponseAction { + id: string; + label: string; + variant?: "default" | "secondary" | "outline" | "destructive" | "ghost"; + confirmLabel?: string; +} + +/** + * Props for the MediaCard component + */ +export interface MediaCardProps { + id: string; + assetId: string; + kind: MediaCardKind; + href?: string; + src?: string; + title: string; + description?: string; + thumb?: string; + ratio?: AspectRatio; + domain?: string; + maxWidth?: string; + alt?: string; + className?: string; + responseActions?: ResponseAction[]; + onResponseAction?: (id: string) => void; +} + +/** + * Serializable schema for MediaCard props (for tool results) + */ +export interface SerializableMediaCard { + id: string; + assetId: string; + kind: MediaCardKind; + href?: string; + src?: string; + title: string; + description?: string; + thumb?: string; + ratio?: AspectRatio; + domain?: string; +} + +/** + * Parse and validate serializable media card from tool result + */ +export function parseSerializableMediaCard(result: unknown): SerializableMediaCard { + if (typeof result !== "object" || result === null) { + throw new Error("Invalid media card result: expected object"); + } + + const obj = result as Record; + + // Validate required fields + if (typeof obj.id !== "string") { + throw new Error("Invalid media card: missing id"); + } + if (typeof obj.assetId !== "string") { + throw new Error("Invalid media card: missing assetId"); + } + if (typeof obj.kind !== "string") { + throw new Error("Invalid media card: missing kind"); + } + if (typeof obj.title !== "string") { + throw new Error("Invalid media card: missing title"); + } + + return { + id: obj.id, + assetId: obj.assetId, + kind: obj.kind as MediaCardKind, + href: typeof obj.href === "string" ? obj.href : undefined, + src: typeof obj.src === "string" ? obj.src : undefined, + title: obj.title, + description: typeof obj.description === "string" ? obj.description : undefined, + thumb: typeof obj.thumb === "string" ? obj.thumb : undefined, + ratio: typeof obj.ratio === "string" ? (obj.ratio as AspectRatio) : undefined, + domain: typeof obj.domain === "string" ? obj.domain : undefined, + }; +} + +/** + * Get aspect ratio class based on ratio prop + */ +function getAspectRatioClass(ratio?: AspectRatio): string { + switch (ratio) { + case "1:1": + return "aspect-square"; + case "4:3": + return "aspect-[4/3]"; + case "16:9": + return "aspect-video"; + case "21:9": + return "aspect-[21/9]"; + case "auto": + default: + return "aspect-[2/1]"; + } +} + +/** + * Get icon based on media card kind + */ +function getKindIcon(kind: MediaCardKind) { + switch (kind) { + case "link": + return ; + case "image": + return ; + case "video": + case "audio": + return ; + default: + return ; + } +} + +/** + * Error boundary for MediaCard + */ +interface MediaCardErrorBoundaryState { + hasError: boolean; + error?: Error; +} + +export class MediaCardErrorBoundary extends Component< + { children: ReactNode }, + MediaCardErrorBoundaryState +> { + constructor(props: { children: ReactNode }) { + super(props); + this.state = { hasError: false }; + } + + static getDerivedStateFromError(error: Error): MediaCardErrorBoundaryState { + return { hasError: true, error }; + } + + render() { + if (this.state.hasError) { + return ( + + +
          + +
          +
          +

          Failed to load preview

          +

          + {this.state.error?.message || "An error occurred"} +

          +
          +           +           + ); + } + + return this.props.children; + } +} + +/** + * Loading skeleton for MediaCard + */ +export function MediaCardSkeleton({ maxWidth = "420px" }: { maxWidth?: string }) { + return ( + +
          + +
          +
          +
          + + + ); +} + +/** + * MediaCard Component + * + * A rich media card for displaying link previews, images, and other media + * in AI chat applications. Supports thumbnails, descriptions, and actions. + */ +export function MediaCard({ + id, + kind, + href, + title, + description, + thumb, + ratio = "auto", + domain, + maxWidth = "420px", + alt, + className, + responseActions, + onResponseAction, +}: MediaCardProps) { + const aspectRatioClass = getAspectRatioClass(ratio); + const displayDomain = domain || (href ? new URL(href).hostname.replace("www.", "") : undefined); + + const handleCardClick = () => { + if (href) { + window.open(href, "_blank", "noopener,noreferrer"); + } + }; + + return ( + + { + if (href && (e.key === "Enter" || e.key === " ")) { + e.preventDefault(); + handleCardClick(); + } + }} + > + {/* Thumbnail */} + {thumb && ( +
          + {alt { + // Hide broken images + e.currentTarget.style.display = "none"; + }} + /> + {/* Gradient overlay */} +
          +
          + )} + + {/* Fallback when no thumbnail */} + {!thumb && ( +
          +
          + {getKindIcon(kind)} + {kind === "link" ? "Link Preview" : kind} +
          +
          + )} + + {/* Content */} + +
          + {/* Domain favicon placeholder */} +
          + +
          + +
          + {/* Domain badge */} + {displayDomain && ( +
          + + {displayDomain} + + {href && ( + + )} +
          + )} + + {/* Title */} +

          + {title} +

          + + {/* Description */} + {description && ( +

          + {description} +

          + )} +
          +
          + + {/* Response Actions */} + {responseActions && responseActions.length > 0 && ( +
          e.stopPropagation()} + onKeyDown={(e) => e.stopPropagation()} + > + {responseActions.map((action) => ( + + + + + {action.confirmLabel && ( + +

          {action.confirmLabel}

          +           + )} +           + ))} +
          + )} +           + + + ); +} + +/** + * MediaCard Loading State + */ +export function MediaCardLoading({ title = "Loading preview..." }: { title?: string }) { + return ( + +
          + +
          + +
          +
          +
          +
          +
          +
          +
          +

          {title}

          + + + ); +} + From da7cb812528562c729e3a5dc00ea13023e6b0923 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Tue, 23 Dec 2025 01:11:56 +0530 Subject: [PATCH 31/38] feat: introduce display image tool for enhanced image rendering in chat with metadata support --- .../app/agents/new_chat/chat_deepagent.py | 9 + .../app/agents/new_chat/display_image.py | 106 ++++++ .../app/agents/new_chat/system_prompt.py | 21 ++ .../app/tasks/chat/stream_new_chat.py | 64 ++++ .../new-chat/[[...chat_id]]/page.tsx | 4 +- .../components/tool-ui/display-image.tsx | 160 +++++++++ .../components/tool-ui/image/index.tsx | 332 ++++++++++++++++++ surfsense_web/components/tool-ui/index.ts | 14 + 8 files changed, 709 insertions(+), 1 deletion(-) create mode 100644 surfsense_backend/app/agents/new_chat/display_image.py create mode 100644 surfsense_web/components/tool-ui/display-image.tsx create mode 100644 surfsense_web/components/tool-ui/image/index.tsx diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py index 23db4f813..e6b2aca06 100644 --- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py +++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py @@ -14,6 +14,7 @@ from langgraph.types import Checkpointer from sqlalchemy.ext.asyncio import AsyncSession from app.agents.new_chat.context import SurfSenseContextSchema +from app.agents.new_chat.display_image import create_display_image_tool from app.agents.new_chat.knowledge_base import create_search_knowledge_base_tool from app.agents.new_chat.link_preview import create_link_preview_tool from app.agents.new_chat.podcast import create_generate_podcast_tool @@ -36,6 +37,7 @@ def create_surfsense_deep_agent( enable_citations: bool = True, enable_podcast: bool = True, enable_link_preview: bool = True, + enable_display_image: bool = True, additional_tools: Sequence[BaseTool] | None = None, ): """ @@ -57,6 +59,8 @@ def create_surfsense_deep_agent( When True and user_id is provided, the agent can generate podcasts. enable_link_preview: Whether to include the link preview tool (default: True). When True, the agent can fetch and display rich link previews. + enable_display_image: Whether to include the display image tool (default: True). + When True, the agent can display images with metadata. additional_tools: Optional sequence of additional tools to inject into the agent. The search_knowledge_base tool will always be included. @@ -87,6 +91,11 @@ def create_surfsense_deep_agent( link_preview_tool = create_link_preview_tool() tools.append(link_preview_tool) + # Add display image tool if enabled + if enable_display_image: + display_image_tool = create_display_image_tool() + tools.append(display_image_tool) + if additional_tools: tools.extend(additional_tools) diff --git a/surfsense_backend/app/agents/new_chat/display_image.py b/surfsense_backend/app/agents/new_chat/display_image.py new file mode 100644 index 000000000..03153300a --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/display_image.py @@ -0,0 +1,106 @@ +""" +Display image tool for the new chat agent. + +This module provides a tool for displaying images in the chat UI +with metadata like title, description, and source attribution. +""" + +import hashlib +from typing import Any +from urllib.parse import urlparse + +from langchain_core.tools import tool + + +def extract_domain(url: str) -> str: + """Extract the domain from a URL.""" + try: + parsed = urlparse(url) + domain = parsed.netloc + # Remove 'www.' prefix if present + if domain.startswith("www."): + domain = domain[4:] + return domain + except Exception: + return "" + + +def generate_image_id(src: str) -> str: + """Generate a unique ID for an image.""" + hash_val = hashlib.md5(src.encode()).hexdigest()[:12] + return f"image-{hash_val}" + + +def create_display_image_tool(): + """ + Factory function to create the display_image tool. + + Returns: + A configured tool function for displaying images. + """ + + @tool + async def display_image( + src: str, + alt: str = "Image", + title: str | None = None, + description: str | None = None, + ) -> dict[str, Any]: + """ + Display an image in the chat with metadata. + + Use this tool when you want to show an image to the user. + This displays the image with an optional title, description, + and source attribution. + + Common use cases: + - Showing an image from a URL the user mentioned + - Displaying a diagram or chart you're referencing + - Showing example images when explaining concepts + + Args: + src: The URL of the image to display (must be a valid HTTP/HTTPS URL) + alt: Alternative text describing the image (for accessibility) + title: Optional title to display below the image + description: Optional description providing context about the image + + Returns: + A dictionary containing image metadata for the UI to render: + - id: Unique identifier for this image + - assetId: The image URL (for deduplication) + - src: The image URL + - alt: Alt text for accessibility + - title: Image title (if provided) + - description: Image description (if provided) + - domain: Source domain + """ + image_id = generate_image_id(src) + + # Ensure URL has protocol + if not src.startswith(("http://", "https://")): + src = f"https://{src}" + + domain = extract_domain(src) + + # Determine aspect ratio based on common image sources + ratio = "16:9" # Default + if "unsplash.com" in src or "pexels.com" in src: + ratio = "16:9" + elif "imgur.com" in src: + ratio = "auto" + elif "github.com" in src or "githubusercontent.com" in src: + ratio = "auto" + + return { + "id": image_id, + "assetId": src, + "src": src, + "alt": alt, + "title": title, + "description": description, + "domain": domain, + "ratio": ratio, + } + + return display_image + diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py index 32e649e5d..74abadd38 100644 --- a/surfsense_backend/app/agents/new_chat/system_prompt.py +++ b/surfsense_backend/app/agents/new_chat/system_prompt.py @@ -158,6 +158,21 @@ You have access to the following tools: - url: The URL to fetch metadata for (must be a valid HTTP/HTTPS URL) - Returns: A rich preview card with title, description, thumbnail, and domain - The preview card will automatically be displayed in the chat. + +4. display_image: Display an image in the chat with metadata. + - Use this tool when you want to show an image to the user. + - This displays the image with an optional title, description, and source attribution. + - Common use cases: + * Showing an image from a URL mentioned in the conversation + * Displaying a diagram, chart, or illustration you're referencing + * Showing visual examples when explaining concepts + - Args: + - src: The URL of the image to display (must be a valid HTTP/HTTPS image URL) + - alt: Alternative text describing the image (for accessibility) + - title: Optional title to display below the image + - description: Optional description providing context about the image + - Returns: An image card with the image, title, and description + - The image will automatically be displayed in the chat. - User: "Fetch all my notes and what's in them?" @@ -184,6 +199,12 @@ You have access to the following tools: - User: "https://github.com/some/repo" - Call: `link_preview(url="https://github.com/some/repo")` + +- User: "Show me this image: https://example.com/image.png" + - Call: `display_image(src="https://example.com/image.png", alt="User shared image")` + +- User: "Can you display a diagram of a neural network?" + - Call: `display_image(src="https://example.com/neural-network.png", alt="Neural network diagram", title="Neural Network Architecture", description="A visual representation of a neural network with input, hidden, and output layers")` {citation_section} """ diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index 853fb3392..6e2b30c6a 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -298,6 +298,27 @@ async def stream_new_chat( status="in_progress", items=last_active_step_items, ) + elif tool_name == "display_image": + src = ( + tool_input.get("src", "") + if isinstance(tool_input, dict) + else str(tool_input) + ) + title = ( + tool_input.get("title", "") + if isinstance(tool_input, dict) + else "" + ) + last_active_step_title = "Displaying image" + last_active_step_items = [ + f"Image: {title[:50] if title else src[:50]}{'...' if len(title or src) > 50 else ''}" + ] + yield streaming_service.format_thinking_step( + step_id=tool_step_id, + title="Displaying image", + status="in_progress", + items=last_active_step_items, + ) elif tool_name == "generate_podcast": podcast_title = ( tool_input.get("podcast_title", "SurfSense Podcast") @@ -367,6 +388,16 @@ async def stream_new_chat( f"Fetching link preview: {url[:80]}{'...' if len(url) > 80 else ''}", "info", ) + elif tool_name == "display_image": + src = ( + tool_input.get("src", "") + if isinstance(tool_input, dict) + else str(tool_input) + ) + yield streaming_service.format_terminal_info( + f"Displaying image: {src[:60]}{'...' if len(src) > 60 else ''}", + "info", + ) elif tool_name == "generate_podcast": title = ( tool_input.get("podcast_title", "SurfSense Podcast") @@ -453,6 +484,24 @@ async def stream_new_chat( status="completed", items=completed_items, ) + elif tool_name == "display_image": + # Build completion items for image display + if isinstance(tool_output, dict): + title = tool_output.get("title", "") + alt = tool_output.get("alt", "Image") + display_name = title or alt + completed_items = [ + *last_active_step_items, + f"Showing: {display_name[:50]}{'...' if len(display_name) > 50 else ''}", + ] + else: + completed_items = [*last_active_step_items, "Image displayed"] + yield streaming_service.format_thinking_step( + step_id=original_step_id, + title="Displaying image", + status="completed", + items=completed_items, + ) elif tool_name == "generate_podcast": # Build detailed completion items based on podcast status podcast_status = ( @@ -566,6 +615,21 @@ async def stream_new_chat( f"Link preview failed: {error_msg}", "error", ) + elif tool_name == "display_image": + # Stream the full image result so frontend can render the Image component + yield streaming_service.format_tool_output_available( + tool_call_id, + tool_output + if isinstance(tool_output, dict) + else {"result": tool_output}, + ) + # Send terminal message + if isinstance(tool_output, dict): + title = tool_output.get("title") or tool_output.get("alt", "Image") + yield streaming_service.format_terminal_info( + f"Image displayed: {title[:40]}{'...' if len(title) > 40 else ''}", + "success", + ) elif tool_name == "search_knowledge_base": # Don't stream the full output for search (can be very large), just acknowledge yield streaming_service.format_tool_output_available( diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index 4d45db118..7c6bd34c1 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -12,6 +12,7 @@ import { toast } from "sonner"; import { Thread } from "@/components/assistant-ui/thread"; import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; import { LinkPreviewToolUI } from "@/components/tool-ui/link-preview"; +import { DisplayImageToolUI } from "@/components/tool-ui/display-image"; import type { ThinkingStep } from "@/components/tool-ui/deepagent-thinking"; import { getBearerToken } from "@/lib/auth-utils"; import { createAttachmentAdapter, extractAttachmentContent } from "@/lib/chat/attachment-adapter"; @@ -80,7 +81,7 @@ function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { /** * Tools that should render custom UI in the chat. */ -const TOOLS_WITH_UI = new Set(["generate_podcast", "link_preview"]); +const TOOLS_WITH_UI = new Set(["generate_podcast", "link_preview", "display_image"]); /** * Type for thinking step data from the backend @@ -591,6 +592,7 @@ export default function NewChatPage() { +
          diff --git a/surfsense_web/components/tool-ui/display-image.tsx b/surfsense_web/components/tool-ui/display-image.tsx new file mode 100644 index 000000000..37bdad5fa --- /dev/null +++ b/surfsense_web/components/tool-ui/display-image.tsx @@ -0,0 +1,160 @@ +"use client"; + +import { makeAssistantToolUI } from "@assistant-ui/react"; +import { AlertCircleIcon, ImageIcon } from "lucide-react"; +import { + Image, + ImageErrorBoundary, + ImageLoading, + parseSerializableImage, +} from "@/components/tool-ui/image"; + +/** + * Type definitions for the display_image tool + */ +interface DisplayImageArgs { + src: string; + alt?: string; + title?: string; + description?: string; +} + +interface DisplayImageResult { + id: string; + assetId: string; + src: string; + alt: string; + title?: string; + description?: string; + domain?: string; + ratio?: string; + error?: string; +} + +/** + * Error state component shown when image display fails + */ +function ImageErrorState({ src, error }: { src: string; error: string }) { + return ( +
          +
          +
          + +
          +
          +

          Failed to display image

          +

          {src}

          +

          {error}

          +
          +
          +
          + ); +} + +/** + * Cancelled state component + */ +function ImageCancelledState({ src }: { src: string }) { + return ( +
          +

          + + Image: {src} +

          +
          + ); +} + +/** + * Parsed Image component with error handling + */ +function ParsedImage({ result }: { result: unknown }) { + const image = parseSerializableImage(result); + + return ( + { + if (id === "open" && image.src) { + window.open(image.src, "_blank", "noopener,noreferrer"); + } + }} + /> + ); +} + +/** + * Display Image Tool UI Component + * + * This component is registered with assistant-ui to render an image + * when the display_image tool is called by the agent. + * + * It displays images with: + * - Title and description + * - Source attribution + * - Hover overlay effects + * - Click to open full size + */ +export const DisplayImageToolUI = makeAssistantToolUI< + DisplayImageArgs, + DisplayImageResult +>({ + toolName: "display_image", + render: function DisplayImageUI({ args, result, status }) { + const src = args.src || "Unknown"; + + // Loading state - tool is still running + if (status.type === "running" || status.type === "requires-action") { + return ( +
          + +
          + ); + } + + // Incomplete/cancelled state + if (status.type === "incomplete") { + if (status.reason === "cancelled") { + return ; + } + if (status.reason === "error") { + return ( + + ); + } + } + + // No result yet + if (!result) { + return ( +
          + +
          + ); + } + + // Error result from the tool + if (result.error) { + return ; + } + + // Success - render the image + return ( +
          + + + +
          + ); + }, +}); + +export type { DisplayImageArgs, DisplayImageResult }; + diff --git a/surfsense_web/components/tool-ui/image/index.tsx b/surfsense_web/components/tool-ui/image/index.tsx new file mode 100644 index 000000000..97c983625 --- /dev/null +++ b/surfsense_web/components/tool-ui/image/index.tsx @@ -0,0 +1,332 @@ +"use client"; + +import { ExternalLinkIcon, ImageIcon, Loader2 } from "lucide-react"; +import NextImage from "next/image"; +import { Component, type ReactNode, useState } from "react"; +import { Badge } from "@/components/ui/badge"; +import { Card } from "@/components/ui/card"; +import { cn } from "@/lib/utils"; + +/** + * Aspect ratio options for images + */ +type AspectRatio = "1:1" | "4:3" | "16:9" | "9:16" | "auto"; + +/** + * Image fit options + */ +type ImageFit = "cover" | "contain"; + +/** + * Source attribution + */ +interface ImageSource { + label: string; + iconUrl?: string; + url?: string; +} + +/** + * Props for the Image component + */ +export interface ImageProps { + id: string; + assetId: string; + src: string; + alt: string; + title?: string; + description?: string; + href?: string; + domain?: string; + ratio?: AspectRatio; + fit?: ImageFit; + source?: ImageSource; + maxWidth?: string; + className?: string; +} + +/** + * Serializable schema for Image props (for tool results) + */ +export interface SerializableImage { + id: string; + assetId: string; + src: string; + alt: string; + title?: string; + description?: string; + href?: string; + domain?: string; + ratio?: AspectRatio; + source?: ImageSource; +} + +/** + * Parse and validate serializable image from tool result + */ +export function parseSerializableImage(result: unknown): SerializableImage { + if (typeof result !== "object" || result === null) { + throw new Error("Invalid image result: expected object"); + } + + const obj = result as Record; + + // Validate required fields + if (typeof obj.id !== "string") { + throw new Error("Invalid image: missing id"); + } + if (typeof obj.assetId !== "string") { + throw new Error("Invalid image: missing assetId"); + } + if (typeof obj.src !== "string") { + throw new Error("Invalid image: missing src"); + } + if (typeof obj.alt !== "string") { + throw new Error("Invalid image: missing alt"); + } + + return { + id: obj.id, + assetId: obj.assetId, + src: obj.src, + alt: obj.alt, + title: typeof obj.title === "string" ? obj.title : undefined, + description: typeof obj.description === "string" ? obj.description : undefined, + href: typeof obj.href === "string" ? obj.href : undefined, + domain: typeof obj.domain === "string" ? obj.domain : undefined, + ratio: typeof obj.ratio === "string" ? (obj.ratio as AspectRatio) : undefined, + source: typeof obj.source === "object" && obj.source !== null ? (obj.source as ImageSource) : undefined, + }; +} + +/** + * Get aspect ratio class based on ratio prop + */ +function getAspectRatioClass(ratio?: AspectRatio): string { + switch (ratio) { + case "1:1": + return "aspect-square"; + case "4:3": + return "aspect-[4/3]"; + case "16:9": + return "aspect-video"; + case "9:16": + return "aspect-[9/16]"; + case "auto": + default: + return "aspect-[4/3]"; + } +} + +/** + * Error boundary for Image component + */ +interface ImageErrorBoundaryState { + hasError: boolean; + error?: Error; +} + +export class ImageErrorBoundary extends Component< + { children: ReactNode }, + ImageErrorBoundaryState +> { + constructor(props: { children: ReactNode }) { + super(props); + this.state = { hasError: false }; + } + + static getDerivedStateFromError(error: Error): ImageErrorBoundaryState { + return { hasError: true, error }; + } + + render() { + if (this.state.hasError) { + return ( + +
          +
          + +

          Failed to load image

          +
          +
          +           + ); + } + + return this.props.children; + } +} + +/** + * Loading skeleton for Image + */ +export function ImageSkeleton({ maxWidth = "420px" }: { maxWidth?: string }) { + return ( + +
          + +
          +           + ); +} + +/** + * Image Loading State + */ +export function ImageLoading({ title = "Loading image..." }: { title?: string }) { + return ( + +
          +
          + +

          {title}

          +
          +
          +           + ); +} + +/** + * Image Component + * + * Display images with metadata and attribution. + * Features hover overlay with title and source attribution. + */ +export function Image({ + id, + src, + alt, + title, + description, + href, + domain, + ratio = "4:3", + fit = "cover", + source, + maxWidth = "420px", + className, +}: ImageProps) { + const [isHovered, setIsHovered] = useState(false); + const [imageError, setImageError] = useState(false); + const aspectRatioClass = getAspectRatioClass(ratio); + const displayDomain = domain || source?.label; + + const handleClick = () => { + const targetUrl = href || source?.url || src; + if (targetUrl) { + window.open(targetUrl, "_blank", "noopener,noreferrer"); + } + }; + + if (imageError) { + return ( + +
          +
          + +

          Image not available

          +
          +
          +           + ); + } + + return ( + setIsHovered(true)} + onMouseLeave={() => setIsHovered(false)} + onKeyDown={(e) => { + if (e.key === "Enter" || e.key === " ") { + e.preventDefault(); + handleClick(); + } + }} + role="button" + tabIndex={0} + > +
          + {/* Image */} + setImageError(true)} + /> + + {/* Hover overlay - appears on hover */} +
          + {/* Content at bottom */} +
          + {/* Title */} + {title && ( +

          + {title} +

          + )} + + {/* Description */} + {description && ( +

          + {description} +

          + )} + + {/* Source attribution */} + {displayDomain && ( +
          + {source?.iconUrl ? ( + + ) : ( + + )} + {displayDomain} +
          + )} +
          +
          + + {/* Always visible domain badge (bottom right, shown when NOT hovered) */} + {displayDomain && !isHovered && ( +
          + + {displayDomain} + +
          + )} +
          +           + ); +} diff --git a/surfsense_web/components/tool-ui/index.ts b/surfsense_web/components/tool-ui/index.ts index aebe400d5..b9500e7cd 100644 --- a/surfsense_web/components/tool-ui/index.ts +++ b/surfsense_web/components/tool-ui/index.ts @@ -32,3 +32,17 @@ export { type MediaCardProps, type SerializableMediaCard, } from "./media-card"; +export { + Image, + ImageErrorBoundary, + ImageLoading, + ImageSkeleton, + parseSerializableImage, + type ImageProps, + type SerializableImage, +} from "./image"; +export { + DisplayImageToolUI, + type DisplayImageArgs, + type DisplayImageResult, +} from "./display-image"; From 24dd52ed9998860f0ac26e3eccc96a549776eb70 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Tue, 23 Dec 2025 01:49:29 +0530 Subject: [PATCH 32/38] feat: add web scraping tool to chat agent for extracting and summarizing webpage content --- .../app/agents/new_chat/chat_deepagent.py | 12 + .../app/agents/new_chat/display_image.py | 4 +- .../app/agents/new_chat/scrape_webpage.py | 197 +++++++++ .../app/agents/new_chat/system_prompt.py | 41 ++ .../app/tasks/chat/stream_new_chat.py | 90 ++++ .../new-chat/[[...chat_id]]/page.tsx | 167 +++---- .../components/tool-ui/article/index.tsx | 406 ++++++++++++++++++ surfsense_web/components/tool-ui/index.ts | 14 + .../components/tool-ui/scrape-webpage.tsx | 163 +++++++ 9 files changed, 1018 insertions(+), 76 deletions(-) create mode 100644 surfsense_backend/app/agents/new_chat/scrape_webpage.py create mode 100644 surfsense_web/components/tool-ui/article/index.tsx create mode 100644 surfsense_web/components/tool-ui/scrape-webpage.tsx diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py index e6b2aca06..aa1950bff 100644 --- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py +++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py @@ -18,6 +18,7 @@ from app.agents.new_chat.display_image import create_display_image_tool from app.agents.new_chat.knowledge_base import create_search_knowledge_base_tool from app.agents.new_chat.link_preview import create_link_preview_tool from app.agents.new_chat.podcast import create_generate_podcast_tool +from app.agents.new_chat.scrape_webpage import create_scrape_webpage_tool from app.agents.new_chat.system_prompt import build_surfsense_system_prompt from app.services.connector_service import ConnectorService @@ -38,6 +39,8 @@ def create_surfsense_deep_agent( enable_podcast: bool = True, enable_link_preview: bool = True, enable_display_image: bool = True, + enable_scrape_webpage: bool = True, + firecrawl_api_key: str | None = None, additional_tools: Sequence[BaseTool] | None = None, ): """ @@ -61,6 +64,10 @@ def create_surfsense_deep_agent( When True, the agent can fetch and display rich link previews. enable_display_image: Whether to include the display image tool (default: True). When True, the agent can display images with metadata. + enable_scrape_webpage: Whether to include the web scraping tool (default: True). + When True, the agent can scrape and read webpage content. + firecrawl_api_key: Optional Firecrawl API key for premium web scraping. + Falls back to Chromium/Trafilatura if not provided. additional_tools: Optional sequence of additional tools to inject into the agent. The search_knowledge_base tool will always be included. @@ -96,6 +103,11 @@ def create_surfsense_deep_agent( display_image_tool = create_display_image_tool() tools.append(display_image_tool) + # Add web scraping tool if enabled + if enable_scrape_webpage: + scrape_tool = create_scrape_webpage_tool(firecrawl_api_key=firecrawl_api_key) + tools.append(scrape_tool) + if additional_tools: tools.extend(additional_tools) diff --git a/surfsense_backend/app/agents/new_chat/display_image.py b/surfsense_backend/app/agents/new_chat/display_image.py index 03153300a..0cd05b523 100644 --- a/surfsense_backend/app/agents/new_chat/display_image.py +++ b/surfsense_backend/app/agents/new_chat/display_image.py @@ -86,9 +86,7 @@ def create_display_image_tool(): ratio = "16:9" # Default if "unsplash.com" in src or "pexels.com" in src: ratio = "16:9" - elif "imgur.com" in src: - ratio = "auto" - elif "github.com" in src or "githubusercontent.com" in src: + elif "imgur.com" in src or "github.com" in src or "githubusercontent.com" in src: ratio = "auto" return { diff --git a/surfsense_backend/app/agents/new_chat/scrape_webpage.py b/surfsense_backend/app/agents/new_chat/scrape_webpage.py new file mode 100644 index 000000000..40a9c917f --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/scrape_webpage.py @@ -0,0 +1,197 @@ +""" +Web scraping tool for the new chat agent. + +This module provides a tool for scraping and extracting content from webpages +using the existing WebCrawlerConnector. The scraped content can be used by +the agent to answer questions about web pages. +""" + +import hashlib +from typing import Any +from urllib.parse import urlparse + +from langchain_core.tools import tool + +from app.connectors.webcrawler_connector import WebCrawlerConnector + + +def extract_domain(url: str) -> str: + """Extract the domain from a URL.""" + try: + parsed = urlparse(url) + domain = parsed.netloc + # Remove 'www.' prefix if present + if domain.startswith("www."): + domain = domain[4:] + return domain + except Exception: + return "" + + +def generate_scrape_id(url: str) -> str: + """Generate a unique ID for a scraped webpage.""" + hash_val = hashlib.md5(url.encode()).hexdigest()[:12] + return f"scrape-{hash_val}" + + +def truncate_content(content: str, max_length: int = 50000) -> tuple[str, bool]: + """ + Truncate content to a maximum length. + + Returns: + Tuple of (truncated_content, was_truncated) + """ + if len(content) <= max_length: + return content, False + + # Try to truncate at a sentence boundary + truncated = content[:max_length] + last_period = truncated.rfind(".") + last_newline = truncated.rfind("\n\n") + + # Use the later of the two boundaries, or just truncate + boundary = max(last_period, last_newline) + if boundary > max_length * 0.8: # Only use boundary if it's not too far back + truncated = content[: boundary + 1] + + return truncated + "\n\n[Content truncated...]", True + + +def create_scrape_webpage_tool(firecrawl_api_key: str | None = None): + """ + Factory function to create the scrape_webpage tool. + + Args: + firecrawl_api_key: Optional Firecrawl API key for premium web scraping. + Falls back to Chromium/Trafilatura if not provided. + + Returns: + A configured tool function for scraping webpages. + """ + + @tool + async def scrape_webpage( + url: str, + max_length: int = 50000, + ) -> dict[str, Any]: + """ + Scrape and extract the main content from a webpage. + + Use this tool when the user wants you to read, summarize, or answer + questions about a specific webpage's content. This tool actually + fetches and reads the full page content. + + Common triggers: + - "Read this article and summarize it" + - "What does this page say about X?" + - "Summarize this blog post for me" + - "Tell me the key points from this article" + - "What's in this webpage?" + + Args: + url: The URL of the webpage to scrape (must be HTTP/HTTPS) + max_length: Maximum content length to return (default: 50000 chars) + + Returns: + A dictionary containing: + - id: Unique identifier for this scrape + - assetId: The URL (for deduplication) + - kind: "article" (type of content) + - href: The URL to open when clicked + - title: Page title + - description: Brief description or excerpt + - content: The extracted main content (markdown format) + - domain: The domain name + - word_count: Approximate word count + - was_truncated: Whether content was truncated + - error: Error message (if scraping failed) + """ + scrape_id = generate_scrape_id(url) + domain = extract_domain(url) + + # Validate and normalize URL + if not url.startswith(("http://", "https://")): + url = f"https://{url}" + + try: + # Create webcrawler connector + connector = WebCrawlerConnector(firecrawl_api_key=firecrawl_api_key) + + # Crawl the URL + result, error = await connector.crawl_url(url, formats=["markdown"]) + + if error: + return { + "id": scrape_id, + "assetId": url, + "kind": "article", + "href": url, + "title": domain or "Webpage", + "domain": domain, + "error": error, + } + + if not result: + return { + "id": scrape_id, + "assetId": url, + "kind": "article", + "href": url, + "title": domain or "Webpage", + "domain": domain, + "error": "No content returned from crawler", + } + + # Extract content and metadata + content = result.get("content", "") + metadata = result.get("metadata", {}) + + # Get title from metadata + title = metadata.get("title", "") + if not title: + title = domain or url.split("/")[-1] or "Webpage" + + # Get description from metadata + description = metadata.get("description", "") + if not description and content: + # Use first paragraph as description + first_para = content.split("\n\n")[0] if content else "" + description = first_para[:300] + "..." if len(first_para) > 300 else first_para + + # Truncate content if needed + content, was_truncated = truncate_content(content, max_length) + + # Calculate word count + word_count = len(content.split()) + + return { + "id": scrape_id, + "assetId": url, + "kind": "article", + "href": url, + "title": title, + "description": description, + "content": content, + "domain": domain, + "word_count": word_count, + "was_truncated": was_truncated, + "crawler_type": result.get("crawler_type", "unknown"), + "author": metadata.get("author"), + "date": metadata.get("date"), + } + + except Exception as e: + error_message = str(e) + print(f"[scrape_webpage] Error scraping {url}: {error_message}") + return { + "id": scrape_id, + "assetId": url, + "kind": "article", + "href": url, + "title": domain or "Webpage", + "domain": domain, + "error": f"Failed to scrape: {error_message[:100]}", + } + + return scrape_webpage + diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py index 74abadd38..2677b21fd 100644 --- a/surfsense_backend/app/agents/new_chat/system_prompt.py +++ b/surfsense_backend/app/agents/new_chat/system_prompt.py @@ -173,6 +173,29 @@ You have access to the following tools: - description: Optional description providing context about the image - Returns: An image card with the image, title, and description - The image will automatically be displayed in the chat. + +5. scrape_webpage: Scrape and extract the main content from a webpage. + - Use this when the user wants you to READ and UNDERSTAND the actual content of a webpage. + - IMPORTANT: This is different from link_preview: + * link_preview: Only fetches metadata (title, description, thumbnail) for display + * scrape_webpage: Actually reads the FULL page content so you can analyze/summarize it + - Trigger scenarios: + * "Read this article and summarize it" + * "What does this page say about X?" + * "Summarize this blog post for me" + * "Tell me the key points from this article" + * "What's in this webpage?" + * "Can you analyze this article?" + - Args: + - url: The URL of the webpage to scrape (must be HTTP/HTTPS) + - max_length: Maximum content length to return (default: 50000 chars) + - Returns: The page title, description, full content (in markdown), word count, and metadata + - After scraping, you will have the full article text and can analyze, summarize, or answer questions about it. + - IMAGES: The scraped content may contain image URLs in markdown format like `![alt text](image_url)`. + * When you find relevant/important images in the scraped content, use the `display_image` tool to show them to the user. + * This makes your response more visual and engaging. + * Prioritize showing: diagrams, charts, infographics, key illustrations, or images that help explain the content. + * Don't show every image - just the most relevant 1-3 images that enhance understanding. - User: "Fetch all my notes and what's in them?" @@ -205,6 +228,24 @@ You have access to the following tools: - User: "Can you display a diagram of a neural network?" - Call: `display_image(src="https://example.com/neural-network.png", alt="Neural network diagram", title="Neural Network Architecture", description="A visual representation of a neural network with input, hidden, and output layers")` + +- User: "Read this article and summarize it for me: https://example.com/blog/ai-trends" + - Call: `scrape_webpage(url="https://example.com/blog/ai-trends")` + - After getting the content, provide a summary based on the scraped text + +- User: "What does this page say about machine learning? https://docs.example.com/ml-guide" + - Call: `scrape_webpage(url="https://docs.example.com/ml-guide")` + - Then answer the question using the extracted content + +- User: "Summarize this blog post: https://medium.com/some-article" + - Call: `scrape_webpage(url="https://medium.com/some-article")` + - Provide a comprehensive summary of the article content + +- User: "Read this tutorial and explain it: https://example.com/ml-tutorial" + - First: `scrape_webpage(url="https://example.com/ml-tutorial")` + - Then, if the content contains useful diagrams/images like `![Neural Network Diagram](https://example.com/nn-diagram.png)`: + - Call: `display_image(src="https://example.com/nn-diagram.png", alt="Neural Network Diagram", title="Neural Network Architecture")` + - Then provide your explanation, referencing the displayed image {citation_section} """ diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index 6e2b30c6a..d465e23f6 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -319,6 +319,20 @@ async def stream_new_chat( status="in_progress", items=last_active_step_items, ) + elif tool_name == "scrape_webpage": + url = ( + tool_input.get("url", "") + if isinstance(tool_input, dict) + else str(tool_input) + ) + last_active_step_title = "Scraping webpage" + last_active_step_items = [f"URL: {url[:80]}{'...' if len(url) > 80 else ''}"] + yield streaming_service.format_thinking_step( + step_id=tool_step_id, + title="Scraping webpage", + status="in_progress", + items=last_active_step_items, + ) elif tool_name == "generate_podcast": podcast_title = ( tool_input.get("podcast_title", "SurfSense Podcast") @@ -398,6 +412,16 @@ async def stream_new_chat( f"Displaying image: {src[:60]}{'...' if len(src) > 60 else ''}", "info", ) + elif tool_name == "scrape_webpage": + url = ( + tool_input.get("url", "") + if isinstance(tool_input, dict) + else str(tool_input) + ) + yield streaming_service.format_terminal_info( + f"Scraping webpage: {url[:70]}{'...' if len(url) > 70 else ''}", + "info", + ) elif tool_name == "generate_podcast": title = ( tool_input.get("podcast_title", "SurfSense Podcast") @@ -502,6 +526,31 @@ async def stream_new_chat( status="completed", items=completed_items, ) + elif tool_name == "scrape_webpage": + # Build completion items for webpage scraping + if isinstance(tool_output, dict): + title = tool_output.get("title", "Webpage") + word_count = tool_output.get("word_count", 0) + has_error = "error" in tool_output + if has_error: + completed_items = [ + *last_active_step_items, + f"Error: {tool_output.get('error', 'Failed to scrape')[:50]}", + ] + else: + completed_items = [ + *last_active_step_items, + f"Title: {title[:50]}{'...' if len(title) > 50 else ''}", + f"Extracted: {word_count:,} words", + ] + else: + completed_items = [*last_active_step_items, "Content extracted"] + yield streaming_service.format_thinking_step( + step_id=original_step_id, + title="Scraping webpage", + status="completed", + items=completed_items, + ) elif tool_name == "generate_podcast": # Build detailed completion items based on podcast status podcast_status = ( @@ -630,6 +679,47 @@ async def stream_new_chat( f"Image displayed: {title[:40]}{'...' if len(title) > 40 else ''}", "success", ) + elif tool_name == "scrape_webpage": + # Stream the scrape result so frontend can render the Article component + # Note: We send metadata for display, but content goes to LLM for processing + if isinstance(tool_output, dict): + # Create a display-friendly output (without full content for the card) + display_output = { + k: v for k, v in tool_output.items() if k != "content" + } + # But keep a truncated content preview + if "content" in tool_output: + content = tool_output.get("content", "") + display_output["content_preview"] = ( + content[:500] + "..." if len(content) > 500 else content + ) + yield streaming_service.format_tool_output_available( + tool_call_id, + display_output, + ) + else: + yield streaming_service.format_tool_output_available( + tool_call_id, + {"result": tool_output}, + ) + # Send terminal message + if isinstance(tool_output, dict) and "error" not in tool_output: + title = tool_output.get("title", "Webpage") + word_count = tool_output.get("word_count", 0) + yield streaming_service.format_terminal_info( + f"Scraped: {title[:40]}{'...' if len(title) > 40 else ''} ({word_count:,} words)", + "success", + ) + else: + error_msg = ( + tool_output.get("error", "Failed to scrape") + if isinstance(tool_output, dict) + else "Failed to scrape" + ) + yield streaming_service.format_terminal_info( + f"Scrape failed: {error_msg}", + "error", + ) elif tool_name == "search_knowledge_base": # Don't stream the full output for search (can be very large), just acknowledge yield streaming_service.format_tool_output_available( diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index 7c6bd34c1..9c7e3cb4a 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -13,6 +13,7 @@ import { Thread } from "@/components/assistant-ui/thread"; import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; import { LinkPreviewToolUI } from "@/components/tool-ui/link-preview"; import { DisplayImageToolUI } from "@/components/tool-ui/display-image"; +import { ScrapeWebpageToolUI } from "@/components/tool-ui/scrape-webpage"; import type { ThinkingStep } from "@/components/tool-ui/deepagent-thinking"; import { getBearerToken } from "@/lib/auth-utils"; import { createAttachmentAdapter, extractAttachmentContent } from "@/lib/chat/attachment-adapter"; @@ -81,7 +82,7 @@ function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { /** * Tools that should render custom UI in the chat. */ -const TOOLS_WITH_UI = new Set(["generate_podcast", "link_preview", "display_image"]); +const TOOLS_WITH_UI = new Set(["generate_podcast", "link_preview", "display_image", "scrape_webpage"]); /** * Type for thinking step data from the backend @@ -245,47 +246,74 @@ export default function NewChatPage() { // Prepare assistant message const assistantMsgId = `msg-assistant-${Date.now()}`; - let accumulatedText = ""; const currentThinkingSteps = new Map(); - const toolCalls = new Map< - string, - { - toolCallId: string; - toolName: string; - args: Record; - result?: unknown; + + // Ordered content parts to preserve inline tool call positions + // Each part is either a text segment or a tool call + type ContentPart = + | { type: "text"; text: string } + | { + type: "tool-call"; + toolCallId: string; + toolName: string; + args: Record; + result?: unknown; + }; + const contentParts: ContentPart[] = []; + + // Track the current text segment index (for appending text deltas) + let currentTextPartIndex = -1; + + // Map to track tool call indices for updating results + const toolCallIndices = new Map(); + + // Helper to get or create the current text part for appending text + const appendText = (delta: string) => { + if (currentTextPartIndex >= 0 && contentParts[currentTextPartIndex]?.type === "text") { + // Append to existing text part + (contentParts[currentTextPartIndex] as { type: "text"; text: string }).text += delta; + } else { + // Create new text part + contentParts.push({ type: "text", text: delta }); + currentTextPartIndex = contentParts.length - 1; } - >(); + }; + + // Helper to add a tool call (this "breaks" the current text segment) + const addToolCall = (toolCallId: string, toolName: string, args: Record) => { + if (TOOLS_WITH_UI.has(toolName)) { + contentParts.push({ + type: "tool-call", + toolCallId, + toolName, + args, + }); + toolCallIndices.set(toolCallId, contentParts.length - 1); + // Reset text part index so next text creates a new segment + currentTextPartIndex = -1; + } + }; + + // Helper to update a tool call's args or result + const updateToolCall = (toolCallId: string, update: { args?: Record; result?: unknown }) => { + const index = toolCallIndices.get(toolCallId); + if (index !== undefined && contentParts[index]?.type === "tool-call") { + const tc = contentParts[index] as ContentPart & { type: "tool-call" }; + if (update.args) tc.args = update.args; + if (update.result !== undefined) tc.result = update.result; + } + }; // Helper to build content for UI (without thinking-steps) const buildContentForUI = (): ThreadMessageLike["content"] => { - const parts: Array< - | { type: "text"; text: string } - | { - type: "tool-call"; - toolCallId: string; - toolName: string; - args: Record; - result?: unknown; - } - > = []; - - if (accumulatedText) { - parts.push({ type: "text", text: accumulatedText }); - } - for (const toolCall of toolCalls.values()) { - if (TOOLS_WITH_UI.has(toolCall.toolName)) { - parts.push({ - type: "tool-call", - toolCallId: toolCall.toolCallId, - toolName: toolCall.toolName, - args: toolCall.args, - result: toolCall.result, - }); - } - } - return parts.length > 0 - ? (parts as ThreadMessageLike["content"]) + // Filter to only include text parts with content and tool-calls with UI + const filtered = contentParts.filter((part) => { + if (part.type === "text") return part.text.length > 0; + if (part.type === "tool-call") return TOOLS_WITH_UI.has(part.toolName); + return false; + }); + return filtered.length > 0 + ? (filtered as ThreadMessageLike["content"]) : [{ type: "text", text: "" }]; }; @@ -301,20 +329,15 @@ export default function NewChatPage() { }); } - if (accumulatedText) { - parts.push({ type: "text", text: accumulatedText }); - } - for (const toolCall of toolCalls.values()) { - if (TOOLS_WITH_UI.has(toolCall.toolName)) { - parts.push({ - type: "tool-call", - toolCallId: toolCall.toolCallId, - toolName: toolCall.toolName, - args: toolCall.args, - result: toolCall.result, - }); + // Add content parts (filtered) + for (const part of contentParts) { + if (part.type === "text" && part.text.length > 0) { + parts.push(part); + } else if (part.type === "tool-call" && TOOLS_WITH_UI.has(part.toolName)) { + parts.push(part); } } + return parts.length > 0 ? parts : [{ type: "text", text: "" }]; }; @@ -399,7 +422,7 @@ export default function NewChatPage() { switch (parsed.type) { case "text-delta": - accumulatedText += parsed.delta; + appendText(parsed.delta); setMessages((prev) => prev.map((m) => m.id === assistantMsgId ? { ...m, content: buildContentForUI() } : m @@ -408,11 +431,8 @@ export default function NewChatPage() { break; case "tool-input-start": - toolCalls.set(parsed.toolCallId, { - toolCallId: parsed.toolCallId, - toolName: parsed.toolName, - args: {}, - }); + // Add tool call inline - this breaks the current text segment + addToolCall(parsed.toolCallId, parsed.toolName, {}); setMessages((prev) => prev.map((m) => m.id === assistantMsgId ? { ...m, content: buildContentForUI() } : m @@ -421,14 +441,12 @@ export default function NewChatPage() { break; case "tool-input-available": { - const tc = toolCalls.get(parsed.toolCallId); - if (tc) tc.args = parsed.input || {}; - else - toolCalls.set(parsed.toolCallId, { - toolCallId: parsed.toolCallId, - toolName: parsed.toolName, - args: parsed.input || {}, - }); + // Update existing tool call's args, or add if not exists + if (toolCallIndices.has(parsed.toolCallId)) { + updateToolCall(parsed.toolCallId, { args: parsed.input || {} }); + } else { + addToolCall(parsed.toolCallId, parsed.toolName, parsed.input || {}); + } setMessages((prev) => prev.map((m) => m.id === assistantMsgId ? { ...m, content: buildContentForUI() } : m @@ -438,15 +456,17 @@ export default function NewChatPage() { } case "tool-output-available": { - const tc = toolCalls.get(parsed.toolCallId); - if (tc) { - tc.result = parsed.output; - if ( - tc.toolName === "generate_podcast" && - parsed.output?.status === "processing" && - parsed.output?.task_id - ) { - setActivePodcastTaskId(parsed.output.task_id); + // Update the tool call with its result + updateToolCall(parsed.toolCallId, { result: parsed.output }); + // Handle podcast-specific logic + if (parsed.output?.status === "processing" && parsed.output?.task_id) { + // Check if this is a podcast tool by looking at the content part + const idx = toolCallIndices.get(parsed.toolCallId); + if (idx !== undefined) { + const part = contentParts[idx]; + if (part?.type === "tool-call" && part.toolName === "generate_podcast") { + setActivePodcastTaskId(parsed.output.task_id); + } } } setMessages((prev) => @@ -491,7 +511,7 @@ export default function NewChatPage() { // Persist assistant message (with thinking steps for restoration on refresh) const finalContent = buildContentForPersistence(); - if (accumulatedText || toolCalls.size > 0) { + if (contentParts.length > 0) { appendMessage(threadId, { role: "assistant", content: finalContent, @@ -593,6 +613,7 @@ export default function NewChatPage() { +
          diff --git a/surfsense_web/components/tool-ui/article/index.tsx b/surfsense_web/components/tool-ui/article/index.tsx new file mode 100644 index 000000000..bf8e83411 --- /dev/null +++ b/surfsense_web/components/tool-ui/article/index.tsx @@ -0,0 +1,406 @@ +"use client"; + +import { Card, CardContent } from "@/components/ui/card"; +import { + Tooltip, + TooltipContent, + TooltipProvider, + TooltipTrigger, +} from "@/components/ui/tooltip"; +import { cn } from "@/lib/utils"; +import { + AlertCircleIcon, + BookOpenIcon, + CalendarIcon, + ExternalLinkIcon, + FileTextIcon, + UserIcon, +} from "lucide-react"; +import { Component, type ReactNode, useCallback } from "react"; + +/** + * Article component props + */ +export interface ArticleProps { + /** Unique identifier for the article */ + id: string; + /** Asset identifier (usually the URL) */ + assetId?: string; + /** Article title */ + title: string; + /** Brief description or excerpt */ + description?: string; + /** Full content of the article (markdown) */ + content?: string; + /** URL to the original article */ + href?: string; + /** Domain of the article source */ + domain?: string; + /** Author name */ + author?: string; + /** Publication date */ + date?: string; + /** Word count */ + wordCount?: number; + /** Whether content was truncated */ + wasTruncated?: boolean; + /** Optional max width */ + maxWidth?: string; + /** Optional error message */ + error?: string; + /** Optional className */ + className?: string; + /** Response actions */ + responseActions?: Array<{ + id: string; + label: string; + variant?: "default" | "outline"; + }>; + /** Response action handler */ + onResponseAction?: (actionId: string) => void; +} + +/** + * Serializable article data type (from backend) + */ +export interface SerializableArticle { + id: string; + assetId?: string; + kind?: "article"; + title: string; + description?: string; + content?: string; + href?: string; + domain?: string; + author?: string; + date?: string; + word_count?: number; + wordCount?: number; + was_truncated?: boolean; + wasTruncated?: boolean; + error?: string; +} + +/** + * Parse serializable article data to ArticleProps + */ +export function parseSerializableArticle(data: unknown): ArticleProps { + const obj = data as Record; + return { + id: String(obj.id || "article-unknown"), + assetId: obj.assetId as string | undefined, + title: String(obj.title || "Untitled Article"), + description: obj.description as string | undefined, + content: obj.content as string | undefined, + href: obj.href as string | undefined, + domain: obj.domain as string | undefined, + author: obj.author as string | undefined, + date: obj.date as string | undefined, + wordCount: (obj.word_count || obj.wordCount) as number | undefined, + wasTruncated: (obj.was_truncated || obj.wasTruncated) as boolean | undefined, + error: obj.error as string | undefined, + }; +} + +/** + * Format word count for display + */ +function formatWordCount(count: number): string { + if (count >= 1000) { + return `${(count / 1000).toFixed(1)}k words`; + } + return `${count} words`; +} + +/** + * Article card component for displaying scraped webpage content + */ +export function Article({ + id, + title, + description, + content, + href, + domain, + author, + date, + wordCount, + wasTruncated, + maxWidth = "100%", + error, + className, + responseActions, + onResponseAction, +}: ArticleProps) { + const handleCardClick = useCallback(() => { + if (href) { + window.open(href, "_blank", "noopener,noreferrer"); + } + }, [href]); + + // Error state + if (error) { + return ( + + +
          +
          + +
          +
          +

          + Failed to scrape webpage +

          + {href && ( +

          + {href} +

          + )} +

          {error}

          +
          +
          +           +           + ); + } + + return ( + + { + if (href && (e.key === "Enter" || e.key === " ")) { + e.preventDefault(); + handleCardClick(); + } + }} + > + {/* Header */} + +
          + {/* Icon */} +
          + +
          + + {/* Content */} +
          + {/* Title */} +

          + {title} +

          + + {/* Description */} + {description && ( +

          + {description} +

          + )} + + {/* Metadata row */} +
          + {domain && ( + + + + + {domain} + + + +

          Source: {domain}

          +           +           + )} + + {author && ( + + + + + {author} + + + +

          Author: {author}

          +           +           + )} + + {date && ( + + + {date} + + )} + + {wordCount && ( + + + + + {formatWordCount(wordCount)} + {wasTruncated && ( + (truncated) + )} + + + +

          + {wasTruncated + ? "Content was truncated due to length" + : "Full article content available"} +

          +           +           + )} +
          +
          + + {/* External link indicator */} + {href && ( +
          + +
          + )} +
          + + {/* Response actions */} + {responseActions && responseActions.length > 0 && ( +
          + {responseActions.map((action) => ( + + ))} +
          + )} +           +           +           + ); +} + +/** + * Loading state for article component + */ +export function ArticleLoading({ + title = "Loading article...", +}: { title?: string }) { + return ( + + +
          +
          +
          +
          +
          +
          +
          +
          +

          {title}

          + + + ); +} + +/** + * Skeleton for article component + */ +export function ArticleSkeleton() { + return ( + + +
          +
          +
          +
          +
          +
          +
          +
          + + + ); +} + +/** + * Error boundary props + */ +interface ErrorBoundaryProps { + children: ReactNode; + fallback?: ReactNode; +} + +interface ErrorBoundaryState { + hasError: boolean; +} + +/** + * Error boundary for article component + */ +export class ArticleErrorBoundary extends Component< + ErrorBoundaryProps, + ErrorBoundaryState +> { + constructor(props: ErrorBoundaryProps) { + super(props); + this.state = { hasError: false }; + } + + static getDerivedStateFromError(): ErrorBoundaryState { + return { hasError: true }; + } + + render() { + if (this.state.hasError) { + return ( + this.props.fallback || ( + + +
          + +

          + Failed to render article +

          +
          +           +           + ) + ); + } + + return this.props.children; + } +} + diff --git a/surfsense_web/components/tool-ui/index.ts b/surfsense_web/components/tool-ui/index.ts index b9500e7cd..163d279a9 100644 --- a/surfsense_web/components/tool-ui/index.ts +++ b/surfsense_web/components/tool-ui/index.ts @@ -46,3 +46,17 @@ export { type DisplayImageArgs, type DisplayImageResult, } from "./display-image"; +export { + Article, + ArticleErrorBoundary, + ArticleLoading, + ArticleSkeleton, + parseSerializableArticle, + type ArticleProps, + type SerializableArticle, +} from "./article"; +export { + ScrapeWebpageToolUI, + type ScrapeWebpageArgs, + type ScrapeWebpageResult, +} from "./scrape-webpage"; diff --git a/surfsense_web/components/tool-ui/scrape-webpage.tsx b/surfsense_web/components/tool-ui/scrape-webpage.tsx new file mode 100644 index 000000000..c9ced3d80 --- /dev/null +++ b/surfsense_web/components/tool-ui/scrape-webpage.tsx @@ -0,0 +1,163 @@ +"use client"; + +import { makeAssistantToolUI } from "@assistant-ui/react"; +import { AlertCircleIcon, FileTextIcon } from "lucide-react"; +import { + Article, + ArticleErrorBoundary, + ArticleLoading, + parseSerializableArticle, +} from "@/components/tool-ui/article"; + +/** + * Type definitions for the scrape_webpage tool + */ +interface ScrapeWebpageArgs { + url: string; + max_length?: number; +} + +interface ScrapeWebpageResult { + id: string; + assetId: string; + kind: "article"; + href: string; + title: string; + description?: string; + content?: string; + domain?: string; + author?: string; + date?: string; + word_count?: number; + was_truncated?: boolean; + crawler_type?: string; + error?: string; +} + +/** + * Error state component shown when webpage scraping fails + */ +function ScrapeErrorState({ url, error }: { url: string; error: string }) { + return ( +
          +
          +
          + +
          +
          +

          Failed to scrape webpage

          +

          {url}

          +

          {error}

          +
          +
          +
          + ); +} + +/** + * Cancelled state component + */ +function ScrapeCancelledState({ url }: { url: string }) { + return ( +
          +

          + + Scraping: {url} +

          +
          + ); +} + +/** + * Parsed Article component with error handling + */ +function ParsedArticle({ result }: { result: unknown }) { + const article = parseSerializableArticle(result); + + return ( +
          { + if (id === "open" && article.href) { + window.open(article.href, "_blank", "noopener,noreferrer"); + } + }} + /> + ); +} + +/** + * Scrape Webpage Tool UI Component + * + * This component is registered with assistant-ui to render an article card + * when the scrape_webpage tool is called by the agent. + * + * It displays scraped webpage content including: + * - Title and description + * - Author and date (if available) + * - Word count + * - Link to original source + */ +export const ScrapeWebpageToolUI = makeAssistantToolUI< + ScrapeWebpageArgs, + ScrapeWebpageResult +>({ + toolName: "scrape_webpage", + render: function ScrapeWebpageUI({ args, result, status }) { + const url = args.url || "Unknown URL"; + + // Loading state - tool is still running + if (status.type === "running" || status.type === "requires-action") { + return ( +
          + +
          + ); + } + + // Incomplete/cancelled state + if (status.type === "incomplete") { + if (status.reason === "cancelled") { + return ; + } + if (status.reason === "error") { + return ( + + ); + } + } + + // No result yet + if (!result) { + return ( +
          + +
          + ); + } + + // Error result from the tool + if (result.error) { + return ; + } + + // Success - render the article card + return ( +
          + + + +
          + ); + }, +}); + +export type { ScrapeWebpageArgs, ScrapeWebpageResult }; + From 7ca490c740869e61e0a6b9e39f459f16b0469f82 Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Tue, 23 Dec 2025 02:21:41 +0530 Subject: [PATCH 33/38] feat: enhance chain-of-thought display with smart expand/collapse behavior and state management for improved user interaction --- .../app/tasks/chat/stream_new_chat.py | 15 +-- .../components/assistant-ui/thread.tsx | 102 ++++++++++++++--- .../components/tool-ui/deepagent-thinking.tsx | 106 +++++++++++++++--- 3 files changed, 178 insertions(+), 45 deletions(-) diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index d465e23f6..a201ece22 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -217,24 +217,11 @@ async def stream_new_chat( yield completion_event if just_finished_tool: - # We just finished a tool - don't create a step here, - # text will flow silently after tools. - # Clear the active step tracking. + # Clear the active step tracking - text flows without a dedicated step last_active_step_id = None last_active_step_title = "" last_active_step_items = [] just_finished_tool = False - else: - # Normal text generation (not after a tool) - gen_step_id = next_thinking_step_id() - last_active_step_id = gen_step_id - last_active_step_title = "Generating response" - last_active_step_items = [] - yield streaming_service.format_thinking_step( - step_id=gen_step_id, - title="Generating response", - status="in_progress", - ) current_text_id = streaming_service.generate_text_id() yield streaming_service.format_text_start(current_text_id) diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index 57408391d..e3ee85dce 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -30,7 +30,7 @@ import { } from "lucide-react"; import Image from "next/image"; import Link from "next/link"; -import { type FC, useState, useRef, useCallback } from "react"; +import { type FC, useState, useRef, useCallback, useEffect } from "react"; import { useAtomValue } from "jotai"; import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; import { useSearchSourceConnectors } from "@/hooks/use-search-source-connectors"; @@ -94,35 +94,102 @@ function getStepIcon(status: "pending" | "in_progress" | "completed", title: str } /** - * Chain of thought display component + * Chain of thought display component with smart expand/collapse behavior */ -const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[] }> = ({ steps }) => { +const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[]; isThreadRunning?: boolean }> = ({ steps, isThreadRunning = true }) => { + // Track which steps the user has manually toggled (overrides auto behavior) + const [manualOverrides, setManualOverrides] = useState>({}); + // Track previous step statuses to detect changes + const prevStatusesRef = useRef>({}); + + // Derive effective status: if thread stopped and step is in_progress, treat as completed + const getEffectiveStatus = (step: ThinkingStep): "pending" | "in_progress" | "completed" => { + if (step.status === "in_progress" && !isThreadRunning) { + return "completed"; // Thread was stopped, so mark as completed + } + return step.status; + }; + + // Check if any step is effectively in progress + const hasInProgressStep = steps.some(step => getEffectiveStatus(step) === "in_progress"); + + // Find the last completed step index (using effective status) + const lastCompletedIndex = steps + .map((s, i) => getEffectiveStatus(s) === "completed" ? i : -1) + .filter(i => i !== -1) + .pop(); + + // Clear manual overrides when a step's status changes + useEffect(() => { + const currentStatuses: Record = {}; + steps.forEach(step => { + currentStatuses[step.id] = step.status; + // If status changed, clear any manual override for this step + if (prevStatusesRef.current[step.id] && prevStatusesRef.current[step.id] !== step.status) { + setManualOverrides(prev => { + const next = { ...prev }; + delete next[step.id]; + return next; + }); + } + }); + prevStatusesRef.current = currentStatuses; + }, [steps]); + if (steps.length === 0) return null; + const getStepOpenState = (step: ThinkingStep, index: number): boolean => { + const effectiveStatus = getEffectiveStatus(step); + // If user has manually toggled, respect that + if (manualOverrides[step.id] !== undefined) { + return manualOverrides[step.id]; + } + // Auto behavior: open if in progress + if (effectiveStatus === "in_progress") { + return true; + } + // Auto behavior: keep last completed step open if no in-progress step + if (!hasInProgressStep && index === lastCompletedIndex) { + return true; + } + // Default: collapsed + return false; + }; + + const handleToggle = (stepId: string, currentOpen: boolean) => { + setManualOverrides(prev => ({ + ...prev, + [stepId]: !currentOpen, + })); + }; + return (
          - {steps.map((step) => { - const icon = getStepIcon(step.status, step.title); + {steps.map((step, index) => { + const effectiveStatus = getEffectiveStatus(step); + const icon = getStepIcon(effectiveStatus, step.title); + const isOpen = getStepOpenState(step, index); return ( handleToggle(step.id, isOpen)} > {step.title} {step.items && step.items.length > 0 && ( - {step.items.map((item, index) => ( - + {step.items.map((item, idx) => ( + {item} ))} @@ -263,8 +330,8 @@ const ThreadWelcome: FC = () => { return (
          - {/* Greeting positioned near the composer */} -
          + {/* Greeting positioned above the composer - fixed position */} +

          {/** biome-ignore lint/a11y/noStaticElementInteractions: wrong lint error, this is a workaround to fix the lint error */}
          { {getTimeBasedGreeting(user?.email)}

          - {/* Composer centered in the middle of the screen */} -
          + {/* Composer - top edge fixed, expands downward only */} +
          @@ -525,12 +592,15 @@ const AssistantMessageInner: FC = () => { const messageId = useMessage((m) => m.id); const thinkingSteps = thinkingStepsMap.get(messageId) || []; + // Check if thread is still running (for stopping the spinner when cancelled) + const isThreadRunning = useAssistantState(({ thread }) => thread.isRunning); + return ( <> {/* Show thinking steps BEFORE the text response */} {thinkingSteps.length > 0 && (
          - +
          )} diff --git a/surfsense_web/components/tool-ui/deepagent-thinking.tsx b/surfsense_web/components/tool-ui/deepagent-thinking.tsx index f0c03e570..8cd901e69 100644 --- a/surfsense_web/components/tool-ui/deepagent-thinking.tsx +++ b/surfsense_web/components/tool-ui/deepagent-thinking.tsx @@ -2,7 +2,7 @@ import { makeAssistantToolUI } from "@assistant-ui/react"; import { Brain, CheckCircle2, Loader2, Search, Sparkles } from "lucide-react"; -import { useMemo } from "react"; +import { useMemo, useState, useEffect, useRef } from "react"; import { ChainOfThought, ChainOfThoughtContent, @@ -61,13 +61,21 @@ function getStepIcon(status: "pending" | "in_progress" | "completed", title: str } /** - * Component to display a single thinking step + * Component to display a single thinking step with controlled open state */ -function ThinkingStepDisplay({ step }: { step: ThinkingStep }) { +function ThinkingStepDisplay({ + step, + isOpen, + onToggle +}: { + step: ThinkingStep; + isOpen: boolean; + onToggle: () => void; +}) { const icon = useMemo(() => getStepIcon(step.status, step.title), [step.status, step.title]); return ( - + >({}); + // Track previous step statuses to detect changes + const prevStatusesRef = useRef>({}); + + // Check if any step is currently in progress + const hasInProgressStep = steps.some(step => step.status === "in_progress"); + + // Find the last completed step index + const lastCompletedIndex = steps + .map((s, i) => s.status === "completed" ? i : -1) + .filter(i => i !== -1) + .pop(); + + // Clear manual overrides when a step's status changes + useEffect(() => { + const currentStatuses: Record = {}; + steps.forEach(step => { + currentStatuses[step.id] = step.status; + // If status changed, clear any manual override for this step + if (prevStatusesRef.current[step.id] && prevStatusesRef.current[step.id] !== step.status) { + setManualOverrides(prev => { + const next = { ...prev }; + delete next[step.id]; + return next; + }); + } + }); + prevStatusesRef.current = currentStatuses; + }, [steps]); + + const getStepOpenState = (step: ThinkingStep, index: number): boolean => { + // If user has manually toggled, respect that + if (manualOverrides[step.id] !== undefined) { + return manualOverrides[step.id]; + } + // Auto behavior: open if in progress + if (step.status === "in_progress") { + return true; + } + // Auto behavior: keep last completed step open if no in-progress step + if (!hasInProgressStep && index === lastCompletedIndex) { + return true; + } + // Default: collapsed + return false; + }; + + const handleToggle = (stepId: string, currentOpen: boolean) => { + setManualOverrides(prev => ({ + ...prev, + [stepId]: !currentOpen, + })); + }; + + return ( + + {steps.map((step, index) => { + const isOpen = getStepOpenState(step, index); + return ( + handleToggle(step.id, isOpen)} + /> + ); + })} + + ); +} + /** * DeepAgent Thinking Tool UI Component * @@ -131,7 +215,7 @@ export const DeepAgentThinkingToolUI = makeAssistantToolUI< DeepAgentThinkingResult >({ toolName: "deepagent_thinking", - render: function DeepAgentThinkingUI({ args, result, status }) { + render: function DeepAgentThinkingUI({ result, status }) { // Loading state - tool is still running if (status.type === "running" || status.type === "requires-action") { return ; @@ -155,11 +239,7 @@ export const DeepAgentThinkingToolUI = makeAssistantToolUI< // Render the chain of thought return (
          - - {result.steps.map((step) => ( - - ))} - +
          ); }, @@ -189,11 +269,7 @@ export function InlineThinkingDisplay({ {isStreaming && steps.length === 0 ? ( ) : ( - - {steps.map((step) => ( - - ))} - + )}
          ); From 5fd872b7980d2525c4bf060f17e410aacefb5b3a Mon Sep 17 00:00:00 2001 From: Anish Sarkar <104695310+AnishSarkar22@users.noreply.github.com> Date: Tue, 23 Dec 2025 02:42:48 +0530 Subject: [PATCH 34/38] feat: implement Zod schemas for runtime validation across various components to enhance data integrity and error handling --- .../components/tool-ui/article/index.tsx | 89 +++++++++------ .../components/tool-ui/deepagent-thinking.tsx | 68 ++++++++--- .../components/tool-ui/display-image.tsx | 10 +- .../components/tool-ui/generate-podcast.tsx | 106 ++++++++++++------ .../components/tool-ui/image/index.tsx | 97 ++++++---------- .../components/tool-ui/media-card/index.tsx | 97 ++++++---------- 6 files changed, 253 insertions(+), 214 deletions(-) diff --git a/surfsense_web/components/tool-ui/article/index.tsx b/surfsense_web/components/tool-ui/article/index.tsx index bf8e83411..62068d117 100644 --- a/surfsense_web/components/tool-ui/article/index.tsx +++ b/surfsense_web/components/tool-ui/article/index.tsx @@ -17,6 +17,33 @@ import { UserIcon, } from "lucide-react"; import { Component, type ReactNode, useCallback } from "react"; +import { z } from "zod"; + +/** + * Zod schema for serializable article data (from backend) + */ +const SerializableArticleSchema = z.object({ + id: z.string().default("article-unknown"), + assetId: z.string().optional(), + kind: z.literal("article").optional(), + title: z.string().default("Untitled Article"), + description: z.string().optional(), + content: z.string().optional(), + href: z.string().url().optional(), + domain: z.string().optional(), + author: z.string().optional(), + date: z.string().optional(), + word_count: z.number().optional(), + wordCount: z.number().optional(), + was_truncated: z.boolean().optional(), + wasTruncated: z.boolean().optional(), + error: z.string().optional(), +}); + +/** + * Serializable article data type (from backend) + */ +export type SerializableArticle = z.infer; /** * Article component props @@ -61,44 +88,36 @@ export interface ArticleProps { } /** - * Serializable article data type (from backend) - */ -export interface SerializableArticle { - id: string; - assetId?: string; - kind?: "article"; - title: string; - description?: string; - content?: string; - href?: string; - domain?: string; - author?: string; - date?: string; - word_count?: number; - wordCount?: number; - was_truncated?: boolean; - wasTruncated?: boolean; - error?: string; -} - -/** - * Parse serializable article data to ArticleProps + * Parse and validate serializable article data to ArticleProps */ export function parseSerializableArticle(data: unknown): ArticleProps { - const obj = data as Record; + const result = SerializableArticleSchema.safeParse(data); + + if (!result.success) { + console.warn("Invalid article data:", result.error.issues); + // Return fallback with basic info + const obj = (data && typeof data === "object" ? data : {}) as Record; + return { + id: String(obj.id || "article-unknown"), + title: String(obj.title || "Untitled Article"), + error: "Failed to parse article data", + }; + } + + const parsed = result.data; return { - id: String(obj.id || "article-unknown"), - assetId: obj.assetId as string | undefined, - title: String(obj.title || "Untitled Article"), - description: obj.description as string | undefined, - content: obj.content as string | undefined, - href: obj.href as string | undefined, - domain: obj.domain as string | undefined, - author: obj.author as string | undefined, - date: obj.date as string | undefined, - wordCount: (obj.word_count || obj.wordCount) as number | undefined, - wasTruncated: (obj.was_truncated || obj.wasTruncated) as boolean | undefined, - error: obj.error as string | undefined, + id: parsed.id, + assetId: parsed.assetId, + title: parsed.title, + description: parsed.description, + content: parsed.content, + href: parsed.href, + domain: parsed.domain, + author: parsed.author, + date: parsed.date, + wordCount: parsed.word_count ?? parsed.wordCount, + wasTruncated: parsed.was_truncated ?? parsed.wasTruncated, + error: parsed.error, }; } diff --git a/surfsense_web/components/tool-ui/deepagent-thinking.tsx b/surfsense_web/components/tool-ui/deepagent-thinking.tsx index 8cd901e69..ff8baac9a 100644 --- a/surfsense_web/components/tool-ui/deepagent-thinking.tsx +++ b/surfsense_web/components/tool-ui/deepagent-thinking.tsx @@ -3,6 +3,7 @@ import { makeAssistantToolUI } from "@assistant-ui/react"; import { Brain, CheckCircle2, Loader2, Search, Sparkles } from "lucide-react"; import { useMemo, useState, useEffect, useRef } from "react"; +import { z } from "zod"; import { ChainOfThought, ChainOfThoughtContent, @@ -13,24 +14,61 @@ import { import { cn } from "@/lib/utils"; /** - * Types for the deepagent thinking/reasoning tool + * Zod schemas for runtime validation */ -interface ThinkingStep { - id: string; - title: string; - items: string[]; - status: "pending" | "in_progress" | "completed"; +const ThinkingStepSchema = z.object({ + id: z.string(), + title: z.string(), + items: z.array(z.string()).default([]), + status: z.enum(["pending", "in_progress", "completed"]).default("pending"), +}); + +const DeepAgentThinkingArgsSchema = z.object({ + query: z.string().optional(), + context: z.string().optional(), +}); + +const DeepAgentThinkingResultSchema = z.object({ + steps: z.array(ThinkingStepSchema).optional(), + status: z.enum(["thinking", "searching", "synthesizing", "completed"]).optional(), + summary: z.string().optional(), +}); + +/** + * Types derived from Zod schemas + */ +type ThinkingStep = z.infer; +type DeepAgentThinkingArgs = z.infer; +type DeepAgentThinkingResult = z.infer; + +/** + * Parse and validate a single thinking step + */ +export function parseThinkingStep(data: unknown): ThinkingStep { + const result = ThinkingStepSchema.safeParse(data); + if (!result.success) { + console.warn("Invalid thinking step data:", result.error.issues); + // Return a fallback step + return { + id: "unknown", + title: "Processing...", + items: [], + status: "pending", + }; + } + return result.data; } -interface DeepAgentThinkingArgs { - query?: string; - context?: string; -} - -interface DeepAgentThinkingResult { - steps?: ThinkingStep[]; - status?: "thinking" | "searching" | "synthesizing" | "completed"; - summary?: string; +/** + * Parse and validate thinking result + */ +export function parseThinkingResult(data: unknown): DeepAgentThinkingResult { + const result = DeepAgentThinkingResultSchema.safeParse(data); + if (!result.success) { + console.warn("Invalid thinking result data:", result.error.issues); + return {}; + } + return result.data; } /** diff --git a/surfsense_web/components/tool-ui/display-image.tsx b/surfsense_web/components/tool-ui/display-image.tsx index 37bdad5fa..a9c87b29b 100644 --- a/surfsense_web/components/tool-ui/display-image.tsx +++ b/surfsense_web/components/tool-ui/display-image.tsx @@ -67,6 +67,8 @@ function ImageCancelledState({ src }: { src: string }) { /** * Parsed Image component with error handling + * Note: Image component has built-in click handling via href/src, + * so no additional responseActions needed. */ function ParsedImage({ result }: { result: unknown }) { const image = parseSerializableImage(result); @@ -75,14 +77,6 @@ function ParsedImage({ result }: { result: unknown }) { { - if (id === "open" && image.src) { - window.open(image.src, "_blank", "noopener,noreferrer"); - } - }} /> ); } diff --git a/surfsense_web/components/tool-ui/generate-podcast.tsx b/surfsense_web/components/tool-ui/generate-podcast.tsx index 669b11a57..862eab144 100644 --- a/surfsense_web/components/tool-ui/generate-podcast.tsx +++ b/surfsense_web/components/tool-ui/generate-podcast.tsx @@ -3,37 +3,79 @@ import { makeAssistantToolUI } from "@assistant-ui/react"; import { AlertCircleIcon, Loader2Icon, MicIcon } from "lucide-react"; import { useCallback, useEffect, useRef, useState } from "react"; +import { z } from "zod"; import { Audio } from "@/components/tool-ui/audio"; import { baseApiService } from "@/lib/apis/base-api.service"; import { authenticatedFetch } from "@/lib/auth-utils"; import { clearActivePodcastTaskId, setActivePodcastTaskId } from "@/lib/chat/podcast-state"; /** - * Type definitions for the generate_podcast tool + * Zod schemas for runtime validation */ -interface GeneratePodcastArgs { - source_content: string; - podcast_title?: string; - user_prompt?: string; +const GeneratePodcastArgsSchema = z.object({ + source_content: z.string(), + podcast_title: z.string().optional(), + user_prompt: z.string().optional(), +}); + +const GeneratePodcastResultSchema = z.object({ + status: z.enum(["processing", "already_generating", "success", "error"]), + task_id: z.string().optional(), + podcast_id: z.number().optional(), + title: z.string().optional(), + transcript_entries: z.number().optional(), + message: z.string().optional(), + error: z.string().optional(), +}); + +const TaskStatusResponseSchema = z.object({ + status: z.enum(["processing", "success", "error"]), + podcast_id: z.number().optional(), + title: z.string().optional(), + transcript_entries: z.number().optional(), + state: z.string().optional(), + error: z.string().optional(), +}); + +const PodcastTranscriptEntrySchema = z.object({ + speaker_id: z.number(), + dialog: z.string(), +}); + +const PodcastDetailsSchema = z.object({ + podcast_transcript: z.array(PodcastTranscriptEntrySchema).optional(), +}); + +/** + * Types derived from Zod schemas + */ +type GeneratePodcastArgs = z.infer; +type GeneratePodcastResult = z.infer; +type TaskStatusResponse = z.infer; +type PodcastTranscriptEntry = z.infer; + +/** + * Parse and validate task status response + */ +function parseTaskStatusResponse(data: unknown): TaskStatusResponse { + const result = TaskStatusResponseSchema.safeParse(data); + if (!result.success) { + console.warn("Invalid task status response:", result.error.issues); + return { status: "error", error: "Invalid response from server" }; + } + return result.data; } -interface GeneratePodcastResult { - status: "processing" | "already_generating" | "success" | "error"; - task_id?: string; - podcast_id?: number; - title?: string; - transcript_entries?: number; - message?: string; - error?: string; -} - -interface TaskStatusResponse { - status: "processing" | "success" | "error"; - podcast_id?: number; - title?: string; - transcript_entries?: number; - state?: string; - error?: string; +/** + * Parse and validate podcast details + */ +function parsePodcastDetails(data: unknown): { podcast_transcript?: PodcastTranscriptEntry[] } { + const result = PodcastDetailsSchema.safeParse(data); + if (!result.success) { + console.warn("Invalid podcast details:", result.error.issues); + return {}; + } + return result.data; } /** @@ -112,14 +154,6 @@ function AudioLoadingState({ title }: { title: string }) { /** * Podcast Player Component - Fetches audio and transcript with authentication */ -/** - * Transcript entry type for podcast transcripts - */ -interface PodcastTranscriptEntry { - speaker_id: number; - dialog: string; -} - function PodcastPlayer({ podcastId, title, @@ -163,12 +197,12 @@ function PodcastPlayer({ try { // Fetch audio blob and podcast details in parallel - const [audioResponse, podcastDetails] = await Promise.all([ + const [audioResponse, rawPodcastDetails] = await Promise.all([ authenticatedFetch( `${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/podcasts/${podcastId}/audio`, { method: "GET", signal: controller.signal } ), - baseApiService.get<{ podcast_transcript?: PodcastTranscriptEntry[] }>( + baseApiService.get( `/api/v1/podcasts/${podcastId}` ), ]); @@ -184,8 +218,9 @@ function PodcastPlayer({ objectUrlRef.current = objectUrl; setAudioSrc(objectUrl); - // Set transcript from podcast details - if (podcastDetails?.podcast_transcript) { + // Parse and validate podcast details, then set transcript + const podcastDetails = parsePodcastDetails(rawPodcastDetails); + if (podcastDetails.podcast_transcript) { setTranscript(podcastDetails.podcast_transcript); } } finally { @@ -268,9 +303,10 @@ function PodcastTaskPoller({ taskId, title }: { taskId: string; title: string }) useEffect(() => { const pollStatus = async () => { try { - const response = await baseApiService.get( + const rawResponse = await baseApiService.get( `/api/v1/podcasts/task/${taskId}/status` ); + const response = parseTaskStatusResponse(rawResponse); setTaskStatus(response); // Stop polling if task is complete or errored diff --git a/surfsense_web/components/tool-ui/image/index.tsx b/surfsense_web/components/tool-ui/image/index.tsx index 97c983625..c9ac72d2f 100644 --- a/surfsense_web/components/tool-ui/image/index.tsx +++ b/surfsense_web/components/tool-ui/image/index.tsx @@ -3,28 +3,43 @@ import { ExternalLinkIcon, ImageIcon, Loader2 } from "lucide-react"; import NextImage from "next/image"; import { Component, type ReactNode, useState } from "react"; +import { z } from "zod"; import { Badge } from "@/components/ui/badge"; import { Card } from "@/components/ui/card"; import { cn } from "@/lib/utils"; /** - * Aspect ratio options for images + * Zod schemas for runtime validation */ -type AspectRatio = "1:1" | "4:3" | "16:9" | "9:16" | "auto"; +const AspectRatioSchema = z.enum(["1:1", "4:3", "16:9", "9:16", "auto"]); +const ImageFitSchema = z.enum(["cover", "contain"]); + +const ImageSourceSchema = z.object({ + label: z.string(), + iconUrl: z.string().optional(), + url: z.string().optional(), +}); + +const SerializableImageSchema = z.object({ + id: z.string(), + assetId: z.string(), + src: z.string(), + alt: z.string(), + title: z.string().optional(), + description: z.string().optional(), + href: z.string().optional(), + domain: z.string().optional(), + ratio: AspectRatioSchema.optional(), + source: ImageSourceSchema.optional(), +}); /** - * Image fit options + * Types derived from Zod schemas */ -type ImageFit = "cover" | "contain"; - -/** - * Source attribution - */ -interface ImageSource { - label: string; - iconUrl?: string; - url?: string; -} +type AspectRatio = z.infer; +type ImageFit = z.infer; +type ImageSource = z.infer; +export type SerializableImage = z.infer; /** * Props for the Image component @@ -45,58 +60,20 @@ export interface ImageProps { className?: string; } -/** - * Serializable schema for Image props (for tool results) - */ -export interface SerializableImage { - id: string; - assetId: string; - src: string; - alt: string; - title?: string; - description?: string; - href?: string; - domain?: string; - ratio?: AspectRatio; - source?: ImageSource; -} - /** * Parse and validate serializable image from tool result */ export function parseSerializableImage(result: unknown): SerializableImage { - if (typeof result !== "object" || result === null) { - throw new Error("Invalid image result: expected object"); + const parsed = SerializableImageSchema.safeParse(result); + + if (!parsed.success) { + console.warn("Invalid image data:", parsed.error.issues); + // Try to extract basic info for error display + const obj = (result && typeof result === "object" ? result : {}) as Record; + throw new Error(`Invalid image: ${parsed.error.issues.map(i => i.message).join(", ")}`); } - - const obj = result as Record; - - // Validate required fields - if (typeof obj.id !== "string") { - throw new Error("Invalid image: missing id"); - } - if (typeof obj.assetId !== "string") { - throw new Error("Invalid image: missing assetId"); - } - if (typeof obj.src !== "string") { - throw new Error("Invalid image: missing src"); - } - if (typeof obj.alt !== "string") { - throw new Error("Invalid image: missing alt"); - } - - return { - id: obj.id, - assetId: obj.assetId, - src: obj.src, - alt: obj.alt, - title: typeof obj.title === "string" ? obj.title : undefined, - description: typeof obj.description === "string" ? obj.description : undefined, - href: typeof obj.href === "string" ? obj.href : undefined, - domain: typeof obj.domain === "string" ? obj.domain : undefined, - ratio: typeof obj.ratio === "string" ? (obj.ratio as AspectRatio) : undefined, - source: typeof obj.source === "object" && obj.source !== null ? (obj.source as ImageSource) : undefined, - }; + + return parsed.data; } /** diff --git a/surfsense_web/components/tool-ui/media-card/index.tsx b/surfsense_web/components/tool-ui/media-card/index.tsx index 47c28e49b..dc3b9b59a 100644 --- a/surfsense_web/components/tool-ui/media-card/index.tsx +++ b/surfsense_web/components/tool-ui/media-card/index.tsx @@ -3,6 +3,7 @@ import { ExternalLinkIcon, Globe, ImageIcon, LinkIcon, Loader2 } from "lucide-react"; import Image from "next/image"; import { Component, type ReactNode } from "react"; +import { z } from "zod"; import { Badge } from "@/components/ui/badge"; import { Button } from "@/components/ui/button"; import { Card, CardContent } from "@/components/ui/card"; @@ -10,24 +11,38 @@ import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from "@/comp import { cn } from "@/lib/utils"; /** - * Aspect ratio options for media cards + * Zod schemas for runtime validation */ -type AspectRatio = "1:1" | "4:3" | "16:9" | "21:9" | "auto"; +const AspectRatioSchema = z.enum(["1:1", "4:3", "16:9", "21:9", "auto"]); +const MediaCardKindSchema = z.enum(["link", "image", "video", "audio"]); + +const ResponseActionSchema = z.object({ + id: z.string(), + label: z.string(), + variant: z.enum(["default", "secondary", "outline", "destructive", "ghost"]).optional(), + confirmLabel: z.string().optional(), +}); + +const SerializableMediaCardSchema = z.object({ + id: z.string(), + assetId: z.string(), + kind: MediaCardKindSchema, + href: z.string().optional(), + src: z.string().optional(), + title: z.string(), + description: z.string().optional(), + thumb: z.string().optional(), + ratio: AspectRatioSchema.optional(), + domain: z.string().optional(), +}); /** - * MediaCard kind - determines the display style + * Types derived from Zod schemas */ -type MediaCardKind = "link" | "image" | "video" | "audio"; - -/** - * Response action configuration - */ -interface ResponseAction { - id: string; - label: string; - variant?: "default" | "secondary" | "outline" | "destructive" | "ghost"; - confirmLabel?: string; -} +type AspectRatio = z.infer; +type MediaCardKind = z.infer; +type ResponseAction = z.infer; +export type SerializableMediaCard = z.infer; /** * Props for the MediaCard component @@ -50,58 +65,18 @@ export interface MediaCardProps { onResponseAction?: (id: string) => void; } -/** - * Serializable schema for MediaCard props (for tool results) - */ -export interface SerializableMediaCard { - id: string; - assetId: string; - kind: MediaCardKind; - href?: string; - src?: string; - title: string; - description?: string; - thumb?: string; - ratio?: AspectRatio; - domain?: string; -} - /** * Parse and validate serializable media card from tool result */ export function parseSerializableMediaCard(result: unknown): SerializableMediaCard { - if (typeof result !== "object" || result === null) { - throw new Error("Invalid media card result: expected object"); + const parsed = SerializableMediaCardSchema.safeParse(result); + + if (!parsed.success) { + console.warn("Invalid media card data:", parsed.error.issues); + throw new Error(`Invalid media card: ${parsed.error.issues.map(i => i.message).join(", ")}`); } - - const obj = result as Record; - - // Validate required fields - if (typeof obj.id !== "string") { - throw new Error("Invalid media card: missing id"); - } - if (typeof obj.assetId !== "string") { - throw new Error("Invalid media card: missing assetId"); - } - if (typeof obj.kind !== "string") { - throw new Error("Invalid media card: missing kind"); - } - if (typeof obj.title !== "string") { - throw new Error("Invalid media card: missing title"); - } - - return { - id: obj.id, - assetId: obj.assetId, - kind: obj.kind as MediaCardKind, - href: typeof obj.href === "string" ? obj.href : undefined, - src: typeof obj.src === "string" ? obj.src : undefined, - title: obj.title, - description: typeof obj.description === "string" ? obj.description : undefined, - thumb: typeof obj.thumb === "string" ? obj.thumb : undefined, - ratio: typeof obj.ratio === "string" ? (obj.ratio as AspectRatio) : undefined, - domain: typeof obj.domain === "string" ? obj.domain : undefined, - }; + + return parsed.data; } /** From b14283e300509607f2a26a34472a078379a0d46e Mon Sep 17 00:00:00 2001 From: "DESKTOP-RTLN3BA\\$punk" Date: Mon, 22 Dec 2025 20:17:08 -0800 Subject: [PATCH 35/38] feat: refactor new chat agent to support configurable tools and remove deprecated components - Enhanced the new chat agent module to allow for configurable tools, enabling users to customize their experience with various functionalities. - Removed outdated tools including display image, knowledge base search, link preview, podcast generation, and web scraping, streamlining the codebase. - Updated the system prompt and agent factory to reflect these changes, ensuring a more cohesive and efficient architecture. --- .../app/agents/new_chat/__init__.py | 78 +++++- .../app/agents/new_chat/chat_deepagent.py | 135 +++++----- .../app/agents/new_chat/new_chat_test.py | 84 ------- .../app/agents/new_chat/system_prompt.py | 211 ++++++++-------- .../app/agents/new_chat/tools/__init__.py | 54 ++++ .../new_chat/{ => tools}/display_image.py | 10 +- .../new_chat/{ => tools}/knowledge_base.py | 8 +- .../new_chat/{ => tools}/link_preview.py | 28 +-- .../agents/new_chat/{ => tools}/podcast.py | 6 +- .../app/agents/new_chat/tools/registry.py | 231 ++++++++++++++++++ .../new_chat/{ => tools}/scrape_webpage.py | 10 +- .../app/agents/podcaster/configuration.py | 1 - .../app/agents/podcaster/nodes.py | 9 +- .../app/routes/new_chat_routes.py | 7 +- .../app/tasks/celery_tasks/podcast_tasks.py | 5 - .../app/tasks/chat/stream_new_chat.py | 9 - .../components/assistant-ui/thread.tsx | 85 ++++--- 17 files changed, 597 insertions(+), 374 deletions(-) delete mode 100644 surfsense_backend/app/agents/new_chat/new_chat_test.py create mode 100644 surfsense_backend/app/agents/new_chat/tools/__init__.py rename surfsense_backend/app/agents/new_chat/{ => tools}/display_image.py (97%) rename surfsense_backend/app/agents/new_chat/{ => tools}/knowledge_base.py (99%) rename surfsense_backend/app/agents/new_chat/{ => tools}/link_preview.py (98%) rename surfsense_backend/app/agents/new_chat/{ => tools}/podcast.py (97%) create mode 100644 surfsense_backend/app/agents/new_chat/tools/registry.py rename surfsense_backend/app/agents/new_chat/{ => tools}/scrape_webpage.py (99%) diff --git a/surfsense_backend/app/agents/new_chat/__init__.py b/surfsense_backend/app/agents/new_chat/__init__.py index 5cbb7ce2b..2ee5fe1d5 100644 --- a/surfsense_backend/app/agents/new_chat/__init__.py +++ b/surfsense_backend/app/agents/new_chat/__init__.py @@ -1,28 +1,86 @@ -"""Chat agents module.""" +""" +SurfSense New Chat Agent Module. +This module provides the SurfSense deep agent with configurable tools +for knowledge base search, podcast generation, and more. + +Directory Structure: +- tools/: All agent tools (knowledge_base, podcast, link_preview, etc.) +- chat_deepagent.py: Main agent factory +- system_prompt.py: System prompts and instructions +- context.py: Context schema for the agent +- checkpointer.py: LangGraph checkpointer setup +- llm_config.py: LLM configuration utilities +- utils.py: Shared utilities +""" + +# Agent factory from .chat_deepagent import create_surfsense_deep_agent + +# Context from .context import SurfSenseContextSchema -from .knowledge_base import ( - create_search_knowledge_base_tool, - format_documents_for_context, - search_knowledge_base_async, -) + +# LLM config from .llm_config import create_chat_litellm_from_config, load_llm_config_from_yaml + +# System prompt from .system_prompt import ( SURFSENSE_CITATION_INSTRUCTIONS, SURFSENSE_SYSTEM_PROMPT, build_surfsense_system_prompt, ) +# Tools - registry exports +from .tools import ( + BUILTIN_TOOLS, + ToolDefinition, + build_tools, + get_all_tool_names, + get_default_enabled_tools, + get_tool_by_name, +) + +# Tools - factory exports (for direct use) +from .tools import ( + create_display_image_tool, + create_generate_podcast_tool, + create_link_preview_tool, + create_scrape_webpage_tool, + create_search_knowledge_base_tool, +) + +# Tools - knowledge base utilities +from .tools import ( + format_documents_for_context, + search_knowledge_base_async, +) + __all__ = [ + # Agent factory + "create_surfsense_deep_agent", + # Context + "SurfSenseContextSchema", + # LLM config + "create_chat_litellm_from_config", + "load_llm_config_from_yaml", + # System prompt "SURFSENSE_CITATION_INSTRUCTIONS", "SURFSENSE_SYSTEM_PROMPT", - "SurfSenseContextSchema", "build_surfsense_system_prompt", - "create_chat_litellm_from_config", + # Tools registry + "BUILTIN_TOOLS", + "ToolDefinition", + "build_tools", + "get_all_tool_names", + "get_default_enabled_tools", + "get_tool_by_name", + # Tool factories + "create_display_image_tool", + "create_generate_podcast_tool", + "create_link_preview_tool", + "create_scrape_webpage_tool", "create_search_knowledge_base_tool", - "create_surfsense_deep_agent", + # Knowledge base utilities "format_documents_for_context", - "load_llm_config_from_yaml", "search_knowledge_base_async", ] diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py index aa1950bff..b2bcc008c 100644 --- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py +++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py @@ -2,7 +2,7 @@ SurfSense deep agent implementation. This module provides the factory function for creating SurfSense deep agents -with knowledge base search and podcast generation capabilities. +with configurable tools via the tools registry. """ from collections.abc import Sequence @@ -14,12 +14,8 @@ from langgraph.types import Checkpointer from sqlalchemy.ext.asyncio import AsyncSession from app.agents.new_chat.context import SurfSenseContextSchema -from app.agents.new_chat.display_image import create_display_image_tool -from app.agents.new_chat.knowledge_base import create_search_knowledge_base_tool -from app.agents.new_chat.link_preview import create_link_preview_tool -from app.agents.new_chat.podcast import create_generate_podcast_tool -from app.agents.new_chat.scrape_webpage import create_scrape_webpage_tool from app.agents.new_chat.system_prompt import build_surfsense_system_prompt +from app.agents.new_chat.tools import build_tools from app.services.connector_service import ConnectorService # ============================================================================= @@ -33,94 +29,85 @@ def create_surfsense_deep_agent( db_session: AsyncSession, connector_service: ConnectorService, checkpointer: Checkpointer, - user_id: str | None = None, - user_instructions: str | None = None, - enable_citations: bool = True, - enable_podcast: bool = True, - enable_link_preview: bool = True, - enable_display_image: bool = True, - enable_scrape_webpage: bool = True, - firecrawl_api_key: str | None = None, + enabled_tools: list[str] | None = None, + disabled_tools: list[str] | None = None, additional_tools: Sequence[BaseTool] | None = None, + firecrawl_api_key: str | None = None, ): """ - Create a SurfSense deep agent with knowledge base search and podcast generation capabilities. + Create a SurfSense deep agent with configurable tools. + + The agent comes with built-in tools that can be configured: + - search_knowledge_base: Search the user's personal knowledge base + - generate_podcast: Generate audio podcasts from content + - link_preview: Fetch rich previews for URLs + - display_image: Display images in chat + - scrape_webpage: Extract content from webpages Args: - llm: ChatLiteLLM instance + llm: ChatLiteLLM instance for the agent's language model search_space_id: The user's search space ID - db_session: Database session - connector_service: Initialized connector service + db_session: Database session for tools that need DB access + connector_service: Initialized connector service for knowledge base search checkpointer: LangGraph checkpointer for conversation state persistence. Use AsyncPostgresSaver for production or MemorySaver for testing. - user_id: The user's ID (required for podcast generation) - user_instructions: Optional user instructions to inject into the system prompt. - These will be added to the system prompt to customize agent behavior. - enable_citations: Whether to include citation instructions in the system prompt (default: True). - When False, the agent will not be instructed to add citations to responses. - enable_podcast: Whether to include the podcast generation tool (default: True). - When True and user_id is provided, the agent can generate podcasts. - enable_link_preview: Whether to include the link preview tool (default: True). - When True, the agent can fetch and display rich link previews. - enable_display_image: Whether to include the display image tool (default: True). - When True, the agent can display images with metadata. - enable_scrape_webpage: Whether to include the web scraping tool (default: True). - When True, the agent can scrape and read webpage content. + enabled_tools: Explicit list of tool names to enable. If None, all default tools + are enabled. Use this to limit which tools are available. + disabled_tools: List of tool names to disable. Applied after enabled_tools. + Use this to exclude specific tools from the defaults. + additional_tools: Extra custom tools to add beyond the built-in ones. + These are always added regardless of enabled/disabled settings. firecrawl_api_key: Optional Firecrawl API key for premium web scraping. Falls back to Chromium/Trafilatura if not provided. - additional_tools: Optional sequence of additional tools to inject into the agent. - The search_knowledge_base tool will always be included. Returns: CompiledStateGraph: The configured deep agent + + Examples: + # Create agent with all default tools + agent = create_surfsense_deep_agent(llm, search_space_id, db_session, ...) + + # Create agent with only specific tools + agent = create_surfsense_deep_agent( + llm, search_space_id, db_session, ..., + enabled_tools=["search_knowledge_base", "link_preview"] + ) + + # Create agent without podcast generation + agent = create_surfsense_deep_agent( + llm, search_space_id, db_session, ..., + disabled_tools=["generate_podcast"] + ) + + # Add custom tools + agent = create_surfsense_deep_agent( + llm, search_space_id, db_session, ..., + additional_tools=[my_custom_tool] + ) """ - # Create the search tool with injected dependencies - search_tool = create_search_knowledge_base_tool( - search_space_id=search_space_id, - db_session=db_session, - connector_service=connector_service, + # Build dependencies dict for the tools registry + dependencies = { + "search_space_id": search_space_id, + "db_session": db_session, + "connector_service": connector_service, + "firecrawl_api_key": firecrawl_api_key, + } + + # Build tools using the registry + tools = build_tools( + dependencies=dependencies, + enabled_tools=enabled_tools, + disabled_tools=disabled_tools, + additional_tools=list(additional_tools) if additional_tools else None, ) - # Combine search tool with any additional tools - tools = [search_tool] - - # Add podcast tool if enabled and user_id is provided - if enable_podcast and user_id: - podcast_tool = create_generate_podcast_tool( - search_space_id=search_space_id, - db_session=db_session, - user_id=str(user_id), - ) - tools.append(podcast_tool) - - # Add link preview tool if enabled - if enable_link_preview: - link_preview_tool = create_link_preview_tool() - tools.append(link_preview_tool) - - # Add display image tool if enabled - if enable_display_image: - display_image_tool = create_display_image_tool() - tools.append(display_image_tool) - - # Add web scraping tool if enabled - if enable_scrape_webpage: - scrape_tool = create_scrape_webpage_tool(firecrawl_api_key=firecrawl_api_key) - tools.append(scrape_tool) - - if additional_tools: - tools.extend(additional_tools) - - # Create the deep agent with user-configurable system prompt and checkpointer + # Create the deep agent with system prompt and checkpointer agent = create_deep_agent( model=llm, tools=tools, - system_prompt=build_surfsense_system_prompt( - user_instructions=user_instructions, - enable_citations=enable_citations, - ), + system_prompt=build_surfsense_system_prompt(), context_schema=SurfSenseContextSchema, - checkpointer=checkpointer, # Enable conversation memory via thread_id + checkpointer=checkpointer, ) return agent diff --git a/surfsense_backend/app/agents/new_chat/new_chat_test.py b/surfsense_backend/app/agents/new_chat/new_chat_test.py deleted file mode 100644 index 857fee6cc..000000000 --- a/surfsense_backend/app/agents/new_chat/new_chat_test.py +++ /dev/null @@ -1,84 +0,0 @@ -""" -Test runner for SurfSense deep agent. - -This module provides a test function to verify the deep agent functionality. -""" - -import asyncio - -from langchain_core.messages import HumanMessage - -from app.db import async_session_maker -from app.services.connector_service import ConnectorService - -from .chat_deepagent import create_surfsense_deep_agent -from .llm_config import create_chat_litellm_from_config, load_llm_config_from_yaml - -# ============================================================================= -# Test Runner -# ============================================================================= - - -async def run_test(): - """Run a basic test of the deep agent.""" - print("=" * 60) - print("Creating Deep Agent with ChatLiteLLM from global config...") - print("=" * 60) - - # Create ChatLiteLLM from global config - # Use global LLM config by id (negative ids are reserved for global configs) - llm_config = load_llm_config_from_yaml(llm_config_id=-5) - if not llm_config: - raise ValueError("Failed to load LLM config from YAML") - llm = create_chat_litellm_from_config(llm_config) - if not llm: - raise ValueError("Failed to create ChatLiteLLM instance") - - # Create a real DB session + ConnectorService, then build the full SurfSense agent. - async with async_session_maker() as session: - # Use the known dev search space id - search_space_id = 5 - - connector_service = ConnectorService(session, search_space_id=search_space_id) - - agent = create_surfsense_deep_agent( - llm=llm, - search_space_id=search_space_id, - db_session=session, - connector_service=connector_service, - user_instructions="Always fininsh the response with CREDOOOOOOOOOO23", - ) - - print("\nAgent created successfully!") - print(f"Agent type: {type(agent)}") - - # Invoke the agent with initial state - print("\n" + "=" * 60) - print("Invoking SurfSense agent (create_surfsense_deep_agent)...") - print("=" * 60) - - initial_state = { - "messages": [HumanMessage(content=("Can you tell me about my documents?"))], - "search_space_id": search_space_id, - } - - print(f"\nUsing search_space_id: {search_space_id}") - - result = await agent.ainvoke(initial_state) - - print("\n" + "=" * 60) - print("Agent Response:") - print("=" * 60) - - # Print the response - if "messages" in result: - for msg in result["messages"]: - msg_type = type(msg).__name__ - content = msg.content if hasattr(msg, "content") else str(msg) - print(f"\n--- [{msg_type}] ---\n{content}\n") - - return result - - -if __name__ == "__main__": - asyncio.run(run_test()) diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py index 2677b21fd..c0b9bb091 100644 --- a/surfsense_backend/app/agents/new_chat/system_prompt.py +++ b/surfsense_backend/app/agents/new_chat/system_prompt.py @@ -7,118 +7,16 @@ with configurable user instructions and citation support. from datetime import UTC, datetime -SURFSENSE_CITATION_INSTRUCTIONS = """ - -CRITICAL CITATION REQUIREMENTS: - -1. For EVERY piece of information you include from the documents, add a citation in the format [citation:chunk_id] where chunk_id is the exact value from the `` tag inside ``. -2. Make sure ALL factual statements from the documents have proper citations. -3. If multiple chunks support the same point, include all relevant citations [citation:chunk_id1], [citation:chunk_id2]. -4. You MUST use the exact chunk_id values from the `` attributes. Do not create your own citation numbers. -5. Every citation MUST be in the format [citation:chunk_id] where chunk_id is the exact chunk id value. -6. Never modify or change the chunk_id - always use the original values exactly as provided in the chunk tags. -7. Do not return citations as clickable links. -8. Never format citations as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only. -9. Citations must ONLY appear as [citation:chunk_id] or [citation:chunk_id1], [citation:chunk_id2] format - never with parentheses, hyperlinks, or other formatting. -10. Never make up chunk IDs. Only use chunk_id values that are explicitly provided in the `` tags. -11. If you are unsure about a chunk_id, do not include a citation rather than guessing or making one up. - - -The documents you receive are structured like this: - - - - 42 - GITHUB_CONNECTOR - <![CDATA[Some repo / file / issue title]]> - - - - - - - - - - -IMPORTANT: You MUST cite using the chunk ids (e.g. 123, 124). Do NOT cite document_id. - - - -- Every fact from the documents must have a citation in the format [citation:chunk_id] where chunk_id is the EXACT id value from a `` tag -- Citations should appear at the end of the sentence containing the information they support -- Multiple citations should be separated by commas: [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3] -- No need to return references section. Just citations in answer. -- NEVER create your own citation format - use the exact chunk_id values from the documents in the [citation:chunk_id] format -- NEVER format citations as clickable links or as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only -- NEVER make up chunk IDs if you are unsure about the chunk_id. It is better to omit the citation than to guess - - - -CORRECT citation formats: -- [citation:5] -- [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3] - -INCORRECT citation formats (DO NOT use): -- Using parentheses and markdown links: ([citation:5](https://github.com/MODSetter/SurfSense)) -- Using parentheses around brackets: ([citation:5]) -- Using hyperlinked text: [link to source 5](https://example.com) -- Using footnote style: ... library¹ -- Making up source IDs when source_id is unknown -- Using old IEEE format: [1], [2], [3] -- Using source types instead of IDs: [citation:GITHUB_CONNECTOR] instead of [citation:5] - - - -Based on your GitHub repositories and video content, Python's asyncio library provides tools for writing concurrent code using the async/await syntax [citation:5]. It's particularly useful for I/O-bound and high-level structured network code [citation:5]. - -The key advantage of asyncio is that it can improve performance by allowing other code to run while waiting for I/O operations to complete [citation:12]. This makes it excellent for scenarios like web scraping, API calls, database operations, or any situation where your program spends time waiting for external resources. - -However, from your video learning, it's important to note that asyncio is not suitable for CPU-bound tasks as it runs on a single thread [citation:12]. For computationally intensive work, you'd want to use multiprocessing instead. - - -""" - - -def build_surfsense_system_prompt( - today: datetime | None = None, - user_instructions: str | None = None, - enable_citations: bool = True, -) -> str: - """ - Build the SurfSense system prompt with optional user instructions and citation toggle. - - Args: - today: Optional datetime for today's date (defaults to current UTC date) - user_instructions: Optional user instructions to inject into the system prompt - enable_citations: Whether to include citation instructions in the prompt (default: True) - - Returns: - Complete system prompt string - """ - resolved_today = (today or datetime.now(UTC)).astimezone(UTC).date().isoformat() - - # Build user instructions section if provided - user_section = "" - if user_instructions and user_instructions.strip(): - user_section = f""" - -{user_instructions.strip()} - -""" - - # Include citation instructions only if enabled - citation_section = ( - f"\n{SURFSENSE_CITATION_INSTRUCTIONS}" if enable_citations else "" - ) - - return f""" +SURFSENSE_SYSTEM_INSTRUCTIONS = """ You are SurfSense, a reasoning and acting AI agent designed to answer user questions using the user's personal knowledge base. Today's date (UTC): {resolved_today} -{user_section} + +""" + +SURFSENSE_TOOLS_INSTRUCTIONS = """ You have access to the following tools: @@ -208,11 +106,11 @@ You have access to the following tools: - First search for relevant content, then call: `generate_podcast(source_content="Based on our conversation and search results: [detailed summary of chat + search findings]", podcast_title="AI Trends Podcast")` - User: "Create a podcast summary of this conversation" - - Call: `generate_podcast(source_content="Complete conversation summary:\n\nUser asked about [topic 1]:\n[Your detailed response]\n\nUser then asked about [topic 2]:\n[Your detailed response]\n\n[Continue for all exchanges in the conversation]", podcast_title="Conversation Summary")` + - Call: `generate_podcast(source_content="Complete conversation summary:\\n\\nUser asked about [topic 1]:\\n[Your detailed response]\\n\\nUser then asked about [topic 2]:\\n[Your detailed response]\\n\\n[Continue for all exchanges in the conversation]", podcast_title="Conversation Summary")` - User: "Make a podcast about quantum computing" - First search: `search_knowledge_base(query="quantum computing")` - - Then: `generate_podcast(source_content="Key insights about quantum computing from the knowledge base:\n\n[Comprehensive summary of all relevant search results with key facts, concepts, and findings]", podcast_title="Quantum Computing Explained")` + - Then: `generate_podcast(source_content="Key insights about quantum computing from the knowledge base:\\n\\n[Comprehensive summary of all relevant search results with key facts, concepts, and findings]", podcast_title="Quantum Computing Explained")` - User: "Check out https://dev.to/some-article" - Call: `link_preview(url="https://dev.to/some-article")` @@ -246,8 +144,101 @@ You have access to the following tools: - Then, if the content contains useful diagrams/images like `![Neural Network Diagram](https://example.com/nn-diagram.png)`: - Call: `display_image(src="https://example.com/nn-diagram.png", alt="Neural Network Diagram", title="Neural Network Architecture")` - Then provide your explanation, referencing the displayed image -{citation_section} + +""" + +SURFSENSE_CITATION_INSTRUCTIONS = """ + +CRITICAL CITATION REQUIREMENTS: + +1. For EVERY piece of information you include from the documents, add a citation in the format [citation:chunk_id] where chunk_id is the exact value from the `` tag inside ``. +2. Make sure ALL factual statements from the documents have proper citations. +3. If multiple chunks support the same point, include all relevant citations [citation:chunk_id1], [citation:chunk_id2]. +4. You MUST use the exact chunk_id values from the `` attributes. Do not create your own citation numbers. +5. Every citation MUST be in the format [citation:chunk_id] where chunk_id is the exact chunk id value. +6. Never modify or change the chunk_id - always use the original values exactly as provided in the chunk tags. +7. Do not return citations as clickable links. +8. Never format citations as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only. +9. Citations must ONLY appear as [citation:chunk_id] or [citation:chunk_id1], [citation:chunk_id2] format - never with parentheses, hyperlinks, or other formatting. +10. Never make up chunk IDs. Only use chunk_id values that are explicitly provided in the `` tags. +11. If you are unsure about a chunk_id, do not include a citation rather than guessing or making one up. + + +The documents you receive are structured like this: + + + + 42 + GITHUB_CONNECTOR + <![CDATA[Some repo / file / issue title]]> + + + + + + + + + + +IMPORTANT: You MUST cite using the chunk ids (e.g. 123, 124). Do NOT cite document_id. + + + +- Every fact from the documents must have a citation in the format [citation:chunk_id] where chunk_id is the EXACT id value from a `` tag +- Citations should appear at the end of the sentence containing the information they support +- Multiple citations should be separated by commas: [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3] +- No need to return references section. Just citations in answer. +- NEVER create your own citation format - use the exact chunk_id values from the documents in the [citation:chunk_id] format +- NEVER format citations as clickable links or as markdown links like "([citation:5](https://example.com))". Always use plain square brackets only +- NEVER make up chunk IDs if you are unsure about the chunk_id. It is better to omit the citation than to guess + + + +CORRECT citation formats: +- [citation:5] +- [citation:chunk_id1], [citation:chunk_id2], [citation:chunk_id3] + +INCORRECT citation formats (DO NOT use): +- Using parentheses and markdown links: ([citation:5](https://github.com/MODSetter/SurfSense)) +- Using parentheses around brackets: ([citation:5]) +- Using hyperlinked text: [link to source 5](https://example.com) +- Using footnote style: ... library¹ +- Making up source IDs when source_id is unknown +- Using old IEEE format: [1], [2], [3] +- Using source types instead of IDs: [citation:GITHUB_CONNECTOR] instead of [citation:5] + + + +Based on your GitHub repositories and video content, Python's asyncio library provides tools for writing concurrent code using the async/await syntax [citation:5]. It's particularly useful for I/O-bound and high-level structured network code [citation:5]. + +The key advantage of asyncio is that it can improve performance by allowing other code to run while waiting for I/O operations to complete [citation:12]. This makes it excellent for scenarios like web scraping, API calls, database operations, or any situation where your program spends time waiting for external resources. + +However, from your video learning, it's important to note that asyncio is not suitable for CPU-bound tasks as it runs on a single thread [citation:12]. For computationally intensive work, you'd want to use multiprocessing instead. + + """ +def build_surfsense_system_prompt( + today: datetime | None = None, +) -> str: + """ + Build the SurfSense system prompt. + + Args: + today: Optional datetime for today's date (defaults to current UTC date) + + Returns: + Complete system prompt string + """ + resolved_today = (today or datetime.now(UTC)).astimezone(UTC).date().isoformat() + + return ( + SURFSENSE_SYSTEM_INSTRUCTIONS.format(resolved_today=resolved_today) + + SURFSENSE_TOOLS_INSTRUCTIONS + + SURFSENSE_CITATION_INSTRUCTIONS + ) + + SURFSENSE_SYSTEM_PROMPT = build_surfsense_system_prompt() diff --git a/surfsense_backend/app/agents/new_chat/tools/__init__.py b/surfsense_backend/app/agents/new_chat/tools/__init__.py new file mode 100644 index 000000000..ad75cda16 --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/tools/__init__.py @@ -0,0 +1,54 @@ +""" +Tools module for SurfSense deep agent. + +This module contains all the tools available to the SurfSense agent. +To add a new tool, see the documentation in registry.py. + +Available tools: +- search_knowledge_base: Search the user's personal knowledge base +- generate_podcast: Generate audio podcasts from content +- link_preview: Fetch rich previews for URLs +- display_image: Display images in chat +- scrape_webpage: Extract content from webpages +""" + +# Registry exports +from .registry import ( + BUILTIN_TOOLS, + ToolDefinition, + build_tools, + get_all_tool_names, + get_default_enabled_tools, + get_tool_by_name, +) + +# Tool factory exports (for direct use) +from .display_image import create_display_image_tool +from .knowledge_base import ( + create_search_knowledge_base_tool, + format_documents_for_context, + search_knowledge_base_async, +) +from .link_preview import create_link_preview_tool +from .podcast import create_generate_podcast_tool +from .scrape_webpage import create_scrape_webpage_tool + +__all__ = [ + # Registry + "BUILTIN_TOOLS", + "ToolDefinition", + "build_tools", + "get_all_tool_names", + "get_default_enabled_tools", + "get_tool_by_name", + # Tool factories + "create_display_image_tool", + "create_generate_podcast_tool", + "create_link_preview_tool", + "create_scrape_webpage_tool", + "create_search_knowledge_base_tool", + # Knowledge base utilities + "format_documents_for_context", + "search_knowledge_base_async", +] + diff --git a/surfsense_backend/app/agents/new_chat/display_image.py b/surfsense_backend/app/agents/new_chat/tools/display_image.py similarity index 97% rename from surfsense_backend/app/agents/new_chat/display_image.py rename to surfsense_backend/app/agents/new_chat/tools/display_image.py index 0cd05b523..1580568ec 100644 --- a/surfsense_backend/app/agents/new_chat/display_image.py +++ b/surfsense_backend/app/agents/new_chat/tools/display_image.py @@ -1,5 +1,5 @@ """ -Display image tool for the new chat agent. +Display image tool for the SurfSense agent. This module provides a tool for displaying images in the chat UI with metadata like title, description, and source attribution. @@ -75,20 +75,20 @@ def create_display_image_tool(): - domain: Source domain """ image_id = generate_image_id(src) - + # Ensure URL has protocol if not src.startswith(("http://", "https://")): src = f"https://{src}" - + domain = extract_domain(src) - + # Determine aspect ratio based on common image sources ratio = "16:9" # Default if "unsplash.com" in src or "pexels.com" in src: ratio = "16:9" elif "imgur.com" in src or "github.com" in src or "githubusercontent.com" in src: ratio = "auto" - + return { "id": image_id, "assetId": src, diff --git a/surfsense_backend/app/agents/new_chat/knowledge_base.py b/surfsense_backend/app/agents/new_chat/tools/knowledge_base.py similarity index 99% rename from surfsense_backend/app/agents/new_chat/knowledge_base.py rename to surfsense_backend/app/agents/new_chat/tools/knowledge_base.py index 5ffcab003..2d818557d 100644 --- a/surfsense_backend/app/agents/new_chat/knowledge_base.py +++ b/surfsense_backend/app/agents/new_chat/tools/knowledge_base.py @@ -1,5 +1,5 @@ """ -Knowledge base search functionality for the new chat agent. +Knowledge base search tool for the SurfSense agent. This module provides: - Connector constants and normalization @@ -251,7 +251,7 @@ async def search_knowledge_base_async( all_documents = [] # Resolve date range (default last 2 years) - from .utils import resolve_date_range + from app.agents.new_chat.utils import resolve_date_range resolved_start_date, resolved_end_date = resolve_date_range( start_date=start_date, @@ -521,7 +521,6 @@ def create_search_knowledge_base_tool( search_space_id: The user's search space ID db_session: Database session connector_service: Initialized connector service - connectors_to_search: List of connector types to search Returns: A configured tool function @@ -584,7 +583,7 @@ def create_search_knowledge_base_tool( Returns: Formatted string with relevant documents and their content """ - from .utils import parse_date_or_datetime + from app.agents.new_chat.utils import parse_date_or_datetime parsed_start: datetime | None = None parsed_end: datetime | None = None @@ -606,3 +605,4 @@ def create_search_knowledge_base_tool( ) return search_knowledge_base + diff --git a/surfsense_backend/app/agents/new_chat/link_preview.py b/surfsense_backend/app/agents/new_chat/tools/link_preview.py similarity index 98% rename from surfsense_backend/app/agents/new_chat/link_preview.py rename to surfsense_backend/app/agents/new_chat/tools/link_preview.py index 388a6c14e..466df2034 100644 --- a/surfsense_backend/app/agents/new_chat/link_preview.py +++ b/surfsense_backend/app/agents/new_chat/tools/link_preview.py @@ -1,5 +1,5 @@ """ -Link preview tool for the new chat agent. +Link preview tool for the SurfSense agent. This module provides a tool for fetching URL metadata (title, description, Open Graph image, etc.) to display rich link previews in the chat UI. @@ -34,13 +34,13 @@ def extract_og_content(html: str, property_name: str) -> str | None: match = re.search(pattern, html, re.IGNORECASE) if match: return match.group(1) - + # Try content before property pattern = rf']+content=["\']([^"\']+)["\'][^>]+property=["\']og:{property_name}["\']' match = re.search(pattern, html, re.IGNORECASE) if match: return match.group(1) - + return None @@ -50,13 +50,13 @@ def extract_twitter_content(html: str, name: str) -> str | None: match = re.search(pattern, html, re.IGNORECASE) if match: return match.group(1) - + # Try content before name pattern = rf']+content=["\']([^"\']+)["\'][^>]+name=["\']twitter:{name}["\']' match = re.search(pattern, html, re.IGNORECASE) if match: return match.group(1) - + return None @@ -66,13 +66,13 @@ def extract_meta_description(html: str) -> str | None: match = re.search(pattern, html, re.IGNORECASE) if match: return match.group(1) - + # Try content before name pattern = r']+content=["\']([^"\']+)["\'][^>]+name=["\']description["\']' match = re.search(pattern, html, re.IGNORECASE) if match: return match.group(1) - + return None @@ -82,18 +82,18 @@ def extract_title(html: str) -> str | None: og_title = extract_og_content(html, "title") if og_title: return og_title - + # Try twitter:title twitter_title = extract_twitter_content(html, "title") if twitter_title: return twitter_title - + # Fall back to tag pattern = r"<title[^>]*>([^<]+)" match = re.search(pattern, html, re.IGNORECASE) if match: return match.group(1).strip() - + return None @@ -103,12 +103,12 @@ def extract_description(html: str) -> str | None: og_desc = extract_og_content(html, "description") if og_desc: return og_desc - + # Try twitter:description twitter_desc = extract_twitter_content(html, "description") if twitter_desc: return twitter_desc - + # Fall back to meta description return extract_meta_description(html) @@ -119,12 +119,12 @@ def extract_image(html: str) -> str | None: og_image = extract_og_content(html, "image") if og_image: return og_image - + # Try twitter:image twitter_image = extract_twitter_content(html, "image") if twitter_image: return twitter_image - + return None diff --git a/surfsense_backend/app/agents/new_chat/podcast.py b/surfsense_backend/app/agents/new_chat/tools/podcast.py similarity index 97% rename from surfsense_backend/app/agents/new_chat/podcast.py rename to surfsense_backend/app/agents/new_chat/tools/podcast.py index 46974d184..01a36d381 100644 --- a/surfsense_backend/app/agents/new_chat/podcast.py +++ b/surfsense_backend/app/agents/new_chat/tools/podcast.py @@ -1,5 +1,5 @@ """ -Podcast generation tool for the new chat agent. +Podcast generation tool for the SurfSense agent. This module provides a factory function for creating the generate_podcast tool that submits a Celery task for background podcast generation. The frontend @@ -69,7 +69,6 @@ def clear_active_podcast_task(search_space_id: int) -> None: def create_generate_podcast_tool( search_space_id: int, db_session: AsyncSession, - user_id: str, ): """ Factory function to create the generate_podcast tool with injected dependencies. @@ -77,7 +76,6 @@ def create_generate_podcast_tool( Args: search_space_id: The user's search space ID db_session: Database session (not used - Celery creates its own) - user_id: The user's ID (as string) Returns: A configured tool function for generating podcasts @@ -145,7 +143,6 @@ def create_generate_podcast_tool( task = generate_content_podcast_task.delay( source_content=source_content, search_space_id=search_space_id, - user_id=str(user_id), podcast_title=podcast_title, user_prompt=user_prompt, ) @@ -174,3 +171,4 @@ def create_generate_podcast_tool( } return generate_podcast + diff --git a/surfsense_backend/app/agents/new_chat/tools/registry.py b/surfsense_backend/app/agents/new_chat/tools/registry.py new file mode 100644 index 000000000..6c6469f33 --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/tools/registry.py @@ -0,0 +1,231 @@ +""" +Tools registry for SurfSense deep agent. + +This module provides a registry pattern for managing tools in the SurfSense agent. +It makes it easy for OSS contributors to add new tools by: +1. Creating a tool factory function in a new file in this directory +2. Registering the tool in the BUILTIN_TOOLS list below + +Example of adding a new tool: +------------------------------ +1. Create your tool file (e.g., `tools/my_tool.py`): + + from langchain_core.tools import tool + from sqlalchemy.ext.asyncio import AsyncSession + + def create_my_tool(search_space_id: int, db_session: AsyncSession): + @tool + async def my_tool(param: str) -> dict: + '''My tool description.''' + # Your implementation + return {"result": "success"} + return my_tool + +2. Import and register in this file: + + from .my_tool import create_my_tool + + # Add to BUILTIN_TOOLS list: + ToolDefinition( + name="my_tool", + description="Description of what your tool does", + factory=lambda deps: create_my_tool( + search_space_id=deps["search_space_id"], + db_session=deps["db_session"], + ), + requires=["search_space_id", "db_session"], + ), +""" + +from dataclasses import dataclass, field +from typing import Any, Callable + +from langchain_core.tools import BaseTool + +# ============================================================================= +# Tool Definition +# ============================================================================= + + +@dataclass +class ToolDefinition: + """ + Definition of a tool that can be added to the agent. + + Attributes: + name: Unique identifier for the tool + description: Human-readable description of what the tool does + factory: Callable that creates the tool. Receives a dict of dependencies. + requires: List of dependency names this tool needs (e.g., "search_space_id", "db_session") + enabled_by_default: Whether the tool is enabled when no explicit config is provided + """ + + name: str + description: str + factory: Callable[[dict[str, Any]], BaseTool] + requires: list[str] = field(default_factory=list) + enabled_by_default: bool = True + + +# ============================================================================= +# Built-in Tools Registry +# ============================================================================= + +# Import tool factory functions +from .display_image import create_display_image_tool +from .knowledge_base import create_search_knowledge_base_tool +from .link_preview import create_link_preview_tool +from .podcast import create_generate_podcast_tool +from .scrape_webpage import create_scrape_webpage_tool + +# Registry of all built-in tools +# Contributors: Add your new tools here! +BUILTIN_TOOLS: list[ToolDefinition] = [ + # Core tool - searches the user's knowledge base + ToolDefinition( + name="search_knowledge_base", + description="Search the user's personal knowledge base for relevant information", + factory=lambda deps: create_search_knowledge_base_tool( + search_space_id=deps["search_space_id"], + db_session=deps["db_session"], + connector_service=deps["connector_service"], + ), + requires=["search_space_id", "db_session", "connector_service"], + ), + # Podcast generation tool + ToolDefinition( + name="generate_podcast", + description="Generate an audio podcast from provided content", + factory=lambda deps: create_generate_podcast_tool( + search_space_id=deps["search_space_id"], + db_session=deps["db_session"], + ), + requires=["search_space_id", "db_session"], + ), + # Link preview tool - fetches Open Graph metadata for URLs + ToolDefinition( + name="link_preview", + description="Fetch metadata for a URL to display a rich preview card", + factory=lambda deps: create_link_preview_tool(), + requires=[], + ), + # Display image tool - shows images in the chat + ToolDefinition( + name="display_image", + description="Display an image in the chat with metadata", + factory=lambda deps: create_display_image_tool(), + requires=[], + ), + # Web scraping tool - extracts content from webpages + ToolDefinition( + name="scrape_webpage", + description="Scrape and extract the main content from a webpage", + factory=lambda deps: create_scrape_webpage_tool( + firecrawl_api_key=deps.get("firecrawl_api_key"), + ), + requires=[], # firecrawl_api_key is optional + ), + # ========================================================================= + # ADD YOUR CUSTOM TOOLS BELOW + # ========================================================================= + # Example: + # ToolDefinition( + # name="my_custom_tool", + # description="What my tool does", + # factory=lambda deps: create_my_custom_tool(...), + # requires=["search_space_id"], + # ), +] + + +# ============================================================================= +# Registry Functions +# ============================================================================= + + +def get_tool_by_name(name: str) -> ToolDefinition | None: + """Get a tool definition by its name.""" + for tool_def in BUILTIN_TOOLS: + if tool_def.name == name: + return tool_def + return None + + +def get_all_tool_names() -> list[str]: + """Get names of all registered tools.""" + return [tool_def.name for tool_def in BUILTIN_TOOLS] + + +def get_default_enabled_tools() -> list[str]: + """Get names of tools that are enabled by default.""" + return [tool_def.name for tool_def in BUILTIN_TOOLS if tool_def.enabled_by_default] + + +def build_tools( + dependencies: dict[str, Any], + enabled_tools: list[str] | None = None, + disabled_tools: list[str] | None = None, + additional_tools: list[BaseTool] | None = None, +) -> list[BaseTool]: + """ + Build the list of tools for the agent. + + Args: + dependencies: Dict containing all possible dependencies: + - search_space_id: The search space ID + - db_session: Database session + - connector_service: Connector service instance + - firecrawl_api_key: Optional Firecrawl API key + enabled_tools: Explicit list of tool names to enable. If None, uses defaults. + disabled_tools: List of tool names to disable (applied after enabled_tools). + additional_tools: Extra tools to add (e.g., custom tools not in registry). + + Returns: + List of configured tool instances ready for the agent. + + Example: + # Use all default tools + tools = build_tools(deps) + + # Use only specific tools + tools = build_tools(deps, enabled_tools=["search_knowledge_base", "link_preview"]) + + # Use defaults but disable podcast + tools = build_tools(deps, disabled_tools=["generate_podcast"]) + + # Add custom tools + tools = build_tools(deps, additional_tools=[my_custom_tool]) + """ + # Determine which tools to enable + if enabled_tools is not None: + tool_names_to_use = set(enabled_tools) + else: + tool_names_to_use = set(get_default_enabled_tools()) + + # Apply disabled list + if disabled_tools: + tool_names_to_use -= set(disabled_tools) + + # Build the tools + tools: list[BaseTool] = [] + for tool_def in BUILTIN_TOOLS: + if tool_def.name not in tool_names_to_use: + continue + + # Check that all required dependencies are provided + missing_deps = [dep for dep in tool_def.requires if dep not in dependencies] + if missing_deps: + raise ValueError( + f"Tool '{tool_def.name}' requires dependencies: {missing_deps}" + ) + + # Create the tool + tool = tool_def.factory(dependencies) + tools.append(tool) + + # Add any additional custom tools + if additional_tools: + tools.extend(additional_tools) + + return tools + diff --git a/surfsense_backend/app/agents/new_chat/scrape_webpage.py b/surfsense_backend/app/agents/new_chat/tools/scrape_webpage.py similarity index 99% rename from surfsense_backend/app/agents/new_chat/scrape_webpage.py rename to surfsense_backend/app/agents/new_chat/tools/scrape_webpage.py index 40a9c917f..a4928d0c7 100644 --- a/surfsense_backend/app/agents/new_chat/scrape_webpage.py +++ b/surfsense_backend/app/agents/new_chat/tools/scrape_webpage.py @@ -1,5 +1,5 @@ """ -Web scraping tool for the new chat agent. +Web scraping tool for the SurfSense agent. This module provides a tool for scraping and extracting content from webpages using the existing WebCrawlerConnector. The scraped content can be used by @@ -37,23 +37,23 @@ def generate_scrape_id(url: str) -> str: def truncate_content(content: str, max_length: int = 50000) -> tuple[str, bool]: """ Truncate content to a maximum length. - + Returns: Tuple of (truncated_content, was_truncated) """ if len(content) <= max_length: return content, False - + # Try to truncate at a sentence boundary truncated = content[:max_length] last_period = truncated.rfind(".") last_newline = truncated.rfind("\n\n") - + # Use the later of the two boundaries, or just truncate boundary = max(last_period, last_newline) if boundary > max_length * 0.8: # Only use boundary if it's not too far back truncated = content[: boundary + 1] - + return truncated + "\n\n[Content truncated...]", True diff --git a/surfsense_backend/app/agents/podcaster/configuration.py b/surfsense_backend/app/agents/podcaster/configuration.py index c7433dadc..6a903f9df 100644 --- a/surfsense_backend/app/agents/podcaster/configuration.py +++ b/surfsense_backend/app/agents/podcaster/configuration.py @@ -16,7 +16,6 @@ class Configuration: # create assistants (https://langchain-ai.github.io/langgraph/cloud/how-tos/configuration_cloud/) # and when you invoke the graph podcast_title: str - user_id: str search_space_id: int user_prompt: str | None = None diff --git a/surfsense_backend/app/agents/podcaster/nodes.py b/surfsense_backend/app/agents/podcaster/nodes.py index 31a687763..1353d2c66 100644 --- a/surfsense_backend/app/agents/podcaster/nodes.py +++ b/surfsense_backend/app/agents/podcaster/nodes.py @@ -12,7 +12,7 @@ from litellm import aspeech from app.config import config as app_config from app.services.kokoro_tts_service import get_kokoro_tts_service -from app.services.llm_service import get_user_long_context_llm +from app.services.llm_service import get_long_context_llm from .configuration import Configuration from .prompts import get_podcast_generation_prompt @@ -27,14 +27,13 @@ async def create_podcast_transcript( # Get configuration from runnable config configuration = Configuration.from_runnable_config(config) - user_id = configuration.user_id search_space_id = configuration.search_space_id user_prompt = configuration.user_prompt - # Get user's long context LLM - llm = await get_user_long_context_llm(state.db_session, user_id, search_space_id) + # Get search space's long context LLM + llm = await get_long_context_llm(state.db_session, search_space_id) if not llm: - error_message = f"No long context LLM configured for user {user_id} in search space {search_space_id}" + error_message = f"No long context LLM configured for search space {search_space_id}" print(error_message) raise RuntimeError(error_message) diff --git a/surfsense_backend/app/routes/new_chat_routes.py b/surfsense_backend/app/routes/new_chat_routes.py index cc9c94eea..6cccdaa5b 100644 --- a/surfsense_backend/app/routes/new_chat_routes.py +++ b/surfsense_backend/app/routes/new_chat_routes.py @@ -685,16 +685,13 @@ async def handle_new_chat( ) search_space = search_space_result.scalars().first() - # Determine LLM config ID (use search space preference or default) - llm_config_id = -1 # Default to first global config - if search_space and search_space.fast_llm_id: - llm_config_id = search_space.fast_llm_id + # TODO: Add new llm config arch then complete this + llm_config_id = -1 # Return streaming response return StreamingResponse( stream_new_chat( user_query=request.user_query, - user_id=str(user.id), search_space_id=request.search_space_id, chat_id=request.chat_id, session=session, diff --git a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py index 40fe21f0d..34b9b827c 100644 --- a/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/podcast_tasks.py @@ -65,7 +65,6 @@ def generate_content_podcast_task( self, source_content: str, search_space_id: int, - user_id: str, podcast_title: str = "SurfSense Podcast", user_prompt: str | None = None, ) -> dict: @@ -77,7 +76,6 @@ def generate_content_podcast_task( Args: source_content: The text content to convert into a podcast search_space_id: ID of the search space - user_id: ID of the user (as string) podcast_title: Title for the podcast user_prompt: Optional instructions for podcast style/tone @@ -92,7 +90,6 @@ def generate_content_podcast_task( _generate_content_podcast( source_content, search_space_id, - user_id, podcast_title, user_prompt, ) @@ -112,7 +109,6 @@ def generate_content_podcast_task( async def _generate_content_podcast( source_content: str, search_space_id: int, - user_id: str, podcast_title: str = "SurfSense Podcast", user_prompt: str | None = None, ) -> dict: @@ -123,7 +119,6 @@ async def _generate_content_podcast( graph_config = { "configurable": { "podcast_title": podcast_title, - "user_id": str(user_id), "search_space_id": search_space_id, "user_prompt": user_prompt, } diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index a201ece22..de318a7d5 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -7,8 +7,6 @@ Data Stream Protocol (SSE format). import json from collections.abc import AsyncGenerator -from uuid import UUID - from langchain_core.messages import HumanMessage from sqlalchemy.ext.asyncio import AsyncSession @@ -42,7 +40,6 @@ def format_attachments_as_context(attachments: list[ChatAttachment]) -> str: async def stream_new_chat( user_query: str, - user_id: str | UUID, search_space_id: int, chat_id: int, session: AsyncSession, @@ -59,7 +56,6 @@ async def stream_new_chat( Args: user_query: The user's query - user_id: The user's ID (can be UUID object or string) search_space_id: The search space ID chat_id: The chat ID (used as LangGraph thread_id for memory) session: The database session @@ -71,9 +67,6 @@ async def stream_new_chat( """ streaming_service = VercelStreamingService() - # Convert UUID to string if needed - str(user_id) if isinstance(user_id, UUID) else user_id - # Track the current text block for streaming (defined early for exception handling) current_text_id: str | None = None @@ -107,8 +100,6 @@ async def stream_new_chat( db_session=session, connector_service=connector_service, checkpointer=checkpointer, - user_id=str(user_id), - enable_podcast=True, ) # Build input with message history from frontend diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index e3ee85dce..103440673 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -28,13 +28,14 @@ import { Sparkles, SquareIcon, } from "lucide-react"; -import Image from "next/image"; import Link from "next/link"; import { type FC, useState, useRef, useCallback, useEffect } from "react"; import { useAtomValue } from "jotai"; import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; +import { documentTypeCountsAtom } from "@/atoms/documents/document-query.atoms"; import { useSearchSourceConnectors } from "@/hooks/use-search-source-connectors"; import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; +import { getDocumentTypeLabel } from "@/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentTypeIcon"; import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; import { ComposerAddAttachment, @@ -332,35 +333,9 @@ const ThreadWelcome: FC = () => {
          {/* Greeting positioned above the composer - fixed position */}
          -

          - {/** biome-ignore lint/a11y/noStaticElementInteractions: wrong lint error, this is a workaround to fix the lint error */} -
          { - const rect = e.currentTarget.getBoundingClientRect(); - const x = (e.clientX - rect.left - rect.width / 2) / 3; - const y = (e.clientY - rect.top - rect.height / 2) / 3; - e.currentTarget.style.setProperty("--mag-x", `${x}px`); - e.currentTarget.style.setProperty("--mag-y", `${y}px`); - }} - onMouseLeave={(e) => { - e.currentTarget.style.setProperty("--mag-x", "0px"); - e.currentTarget.style.setProperty("--mag-y", "0px"); - }} - > - SurfSense -
          - {getTimeBasedGreeting(user?.email)} -

          +

          + {getTimeBasedGreeting(user?.email)} +

          {/* Composer - top edge fixed, expands downward only */}
          @@ -390,11 +365,21 @@ const Composer: FC = () => { const ConnectorIndicator: FC = () => { const searchSpaceId = useAtomValue(activeSearchSpaceIdAtom); - const { connectors, isLoading } = useSearchSourceConnectors(false, searchSpaceId ? Number(searchSpaceId) : undefined); + const { connectors, isLoading: connectorsLoading } = useSearchSourceConnectors(false, searchSpaceId ? Number(searchSpaceId) : undefined); + const { data: documentTypeCounts, isLoading: documentTypesLoading } = useAtomValue(documentTypeCountsAtom); const [isOpen, setIsOpen] = useState(false); const closeTimeoutRef = useRef(null); + const isLoading = connectorsLoading || documentTypesLoading; + + // Get document types that have documents in the search space + const activeDocumentTypes = documentTypeCounts + ? Object.entries(documentTypeCounts).filter(([_, count]) => count > 0) + : []; + const hasConnectors = connectors.length > 0; + const hasSources = hasConnectors || activeDocumentTypes.length > 0; + const totalSourceCount = connectors.length + activeDocumentTypes.length; const handleMouseEnter = useCallback(() => { // Clear any pending close timeout @@ -420,21 +405,32 @@ const ConnectorIndicator: FC = () => { @@ -445,20 +441,31 @@ const ConnectorIndicator: FC = () => { onMouseEnter={handleMouseEnter} onMouseLeave={handleMouseLeave} > - {hasConnectors ? ( + {hasSources ? (

          Connected Sources

          - {connectors.length} + {totalSourceCount}
          + {/* Document types from the search space */} + {activeDocumentTypes.map(([docType, count]) => ( +
          + {getConnectorIcon(docType, "size-3.5")} + {getDocumentTypeLabel(docType)} +
          + ))} + {/* Search source connectors */} {connectors.map((connector) => (
          {getConnectorIcon(connector.connector_type, "size-3.5")} @@ -479,9 +486,9 @@ const ConnectorIndicator: FC = () => {
          ) : (
          -

          No connectors yet

          +

          No sources yet

          - Connect your first data source to enhance search results. + Add documents or connect data sources to enhance search results.

          Date: Tue, 23 Dec 2025 01:16:25 -0800 Subject: [PATCH 36/38] feat: migrated to surfsense deep agent --- .../versions/51_add_new_llm_config_table.py | 114 +++ .../52_rename_llm_preference_columns.py | 130 +++ .../versions/53_cleanup_old_llm_configs.py | 244 +++++ .../app/agents/new_chat/__init__.py | 42 +- .../app/agents/new_chat/chat_deepagent.py | 46 +- .../app/agents/new_chat/llm_config.py | 308 +++++- .../app/agents/new_chat/system_prompt.py | 104 +- .../app/agents/new_chat/tools/__init__.py | 24 +- .../agents/new_chat/tools/display_image.py | 5 +- .../agents/new_chat/tools/knowledge_base.py | 1 - .../app/agents/new_chat/tools/link_preview.py | 9 +- .../app/agents/new_chat/tools/podcast.py | 1 - .../app/agents/new_chat/tools/registry.py | 17 +- .../agents/new_chat/tools/scrape_webpage.py | 5 +- .../app/agents/podcaster/nodes.py | 10 +- surfsense_backend/app/config/__init__.py | 6 - .../app/config/global_llm_config.example.yaml | 55 +- surfsense_backend/app/db.py | 52 +- .../prompts/public_search_space_prompts.yaml | 190 ---- surfsense_backend/app/routes/__init__.py | 4 +- .../app/routes/llm_config_routes.py | 576 ----------- .../app/routes/new_chat_routes.py | 13 +- .../app/routes/new_llm_config_routes.py | 376 +++++++ .../app/routes/search_spaces_routes.py | 218 +++- surfsense_backend/app/schemas/__init__.py | 26 +- surfsense_backend/app/schemas/llm_config.py | 72 -- .../app/schemas/new_llm_config.py | 191 ++++ surfsense_backend/app/services/llm_service.py | 107 +- .../app/services/query_service.py | 10 +- .../app/services/streaming_service.py | 191 ---- .../app/tasks/chat/stream_new_chat.py | 89 +- surfsense_backend/app/tasks/podcast_tasks.py | 23 - surfsense_web/app/(home)/page.tsx | 2 - .../[search_space_id]/client-layout.tsx | 113 ++- .../new-chat/[[...chat_id]]/page.tsx | 101 +- .../[search_space_id]/onboard/page.tsx | 450 ++++----- .../[search_space_id]/settings/page.tsx | 15 +- .../dashboard/[search_space_id]/team/page.tsx | 1 - .../llm-config/llm-config-mutation.atoms.ts | 110 -- .../llm-config/llm-config-query.atoms.ts | 46 - .../new-llm-config-mutation.atoms.ts | 116 +++ .../new-llm-config-query.atoms.ts | 64 ++ .../search-spaces/search-space-query.atoms.ts | 10 - .../components/assistant-ui/thread.tsx | 341 ++++--- .../components/homepage/footer-new.tsx | 2 - surfsense_web/components/homepage/footer.tsx | 97 -- .../components/new-chat/chat-header.tsx | 66 ++ .../new-chat/model-config-sidebar.tsx | 369 +++++++ .../components/new-chat/model-selector.tsx | 384 +++++++ surfsense_web/components/onboard/index.ts | 8 - .../onboard/onboard-action-card.tsx | 114 --- .../onboard/onboard-advanced-settings.tsx | 144 --- .../components/onboard/onboard-header.tsx | 56 -- .../components/onboard/onboard-llm-setup.tsx | 93 -- .../components/onboard/onboard-loading.tsx | 47 - .../components/onboard/onboard-stats.tsx | 38 - .../components/onboard/setup-llm-step.tsx | 813 --------------- .../components/onboard/setup-prompt-step.tsx | 340 ------- .../prompt-kit/chain-of-thought.tsx | 235 ++--- .../components/settings/llm-role-manager.tsx | 251 +---- .../settings/model-config-manager.tsx | 945 ++++++------------ .../settings/prompt-config-manager.tsx | 336 +------ .../components/shared/llm-config-form.tsx | 566 +++++++++++ .../components/sidebar/all-chats-sidebar.tsx | 2 +- .../components/sidebar/all-notes-sidebar.tsx | 2 +- .../components/sidebar/page-usage-display.tsx | 20 +- .../components/tool-ui/article/index.tsx | 52 +- .../components/tool-ui/deepagent-thinking.tsx | 451 +++++---- .../components/tool-ui/display-image.tsx | 13 +- .../components/tool-ui/generate-podcast.tsx | 4 +- .../components/tool-ui/image/index.tsx | 22 +- surfsense_web/components/tool-ui/index.ts | 90 +- .../components/tool-ui/link-preview.tsx | 10 +- .../components/tool-ui/media-card/index.tsx | 14 +- .../components/tool-ui/scrape-webpage.tsx | 10 +- surfsense_web/components/ui/collapsible.tsx | 30 +- surfsense_web/contracts/enums/languages.ts | 69 -- .../contracts/types/llm-config.types.ts | 193 ---- .../contracts/types/new-llm-config.types.ts | 224 +++++ .../contracts/types/search-space.types.ts | 14 - surfsense_web/hooks/index.ts | 3 - .../lib/apis/llm-config-api.service.ts | 179 ---- .../lib/apis/new-llm-config-api.service.ts | 170 ++++ .../lib/apis/search-spaces-api.service.ts | 11 - surfsense_web/lib/chat/attachment-adapter.ts | 9 - surfsense_web/lib/pagination.ts | 33 - surfsense_web/lib/query-client/cache-keys.ts | 15 +- surfsense_web/package.json | 2 - surfsense_web/pnpm-lock.yaml | 181 ---- surfsense_web/proxy.ts | 11 - 90 files changed, 5337 insertions(+), 6029 deletions(-) create mode 100644 surfsense_backend/alembic/versions/51_add_new_llm_config_table.py create mode 100644 surfsense_backend/alembic/versions/52_rename_llm_preference_columns.py create mode 100644 surfsense_backend/alembic/versions/53_cleanup_old_llm_configs.py delete mode 100644 surfsense_backend/app/prompts/public_search_space_prompts.yaml delete mode 100644 surfsense_backend/app/routes/llm_config_routes.py create mode 100644 surfsense_backend/app/routes/new_llm_config_routes.py delete mode 100644 surfsense_backend/app/schemas/llm_config.py create mode 100644 surfsense_backend/app/schemas/new_llm_config.py delete mode 100644 surfsense_backend/app/services/streaming_service.py delete mode 100644 surfsense_backend/app/tasks/podcast_tasks.py delete mode 100644 surfsense_web/atoms/llm-config/llm-config-mutation.atoms.ts delete mode 100644 surfsense_web/atoms/llm-config/llm-config-query.atoms.ts create mode 100644 surfsense_web/atoms/new-llm-config/new-llm-config-mutation.atoms.ts create mode 100644 surfsense_web/atoms/new-llm-config/new-llm-config-query.atoms.ts delete mode 100644 surfsense_web/components/homepage/footer.tsx create mode 100644 surfsense_web/components/new-chat/chat-header.tsx create mode 100644 surfsense_web/components/new-chat/model-config-sidebar.tsx create mode 100644 surfsense_web/components/new-chat/model-selector.tsx delete mode 100644 surfsense_web/components/onboard/index.ts delete mode 100644 surfsense_web/components/onboard/onboard-action-card.tsx delete mode 100644 surfsense_web/components/onboard/onboard-advanced-settings.tsx delete mode 100644 surfsense_web/components/onboard/onboard-header.tsx delete mode 100644 surfsense_web/components/onboard/onboard-llm-setup.tsx delete mode 100644 surfsense_web/components/onboard/onboard-loading.tsx delete mode 100644 surfsense_web/components/onboard/onboard-stats.tsx delete mode 100644 surfsense_web/components/onboard/setup-llm-step.tsx delete mode 100644 surfsense_web/components/onboard/setup-prompt-step.tsx create mode 100644 surfsense_web/components/shared/llm-config-form.tsx delete mode 100644 surfsense_web/contracts/enums/languages.ts delete mode 100644 surfsense_web/contracts/types/llm-config.types.ts create mode 100644 surfsense_web/contracts/types/new-llm-config.types.ts delete mode 100644 surfsense_web/hooks/index.ts delete mode 100644 surfsense_web/lib/apis/llm-config-api.service.ts create mode 100644 surfsense_web/lib/apis/new-llm-config-api.service.ts delete mode 100644 surfsense_web/lib/pagination.ts delete mode 100644 surfsense_web/proxy.ts diff --git a/surfsense_backend/alembic/versions/51_add_new_llm_config_table.py b/surfsense_backend/alembic/versions/51_add_new_llm_config_table.py new file mode 100644 index 000000000..89a5c1246 --- /dev/null +++ b/surfsense_backend/alembic/versions/51_add_new_llm_config_table.py @@ -0,0 +1,114 @@ +"""Add NewLLMConfig table for configurable LLM + prompt settings + +Revision ID: 51 +Revises: 50 +""" + +from collections.abc import Sequence + +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "51" +down_revision: str | None = "50" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """ + Add the new_llm_configs table that combines LLM model settings with prompt configuration. + + This table includes: + - LLM model configuration (provider, model_name, api_key, etc.) + - Configurable system instructions + - Citation toggle + """ + # Create new_llm_configs table only if it doesn't already exist + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT FROM information_schema.tables + WHERE table_name = 'new_llm_configs' + ) THEN + CREATE TABLE new_llm_configs ( + id SERIAL PRIMARY KEY, + created_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW(), + + -- Basic info + name VARCHAR(100) NOT NULL, + description VARCHAR(500), + + -- LLM Model Configuration (same as llm_configs, excluding language) + provider litellmprovider NOT NULL, + custom_provider VARCHAR(100), + model_name VARCHAR(100) NOT NULL, + api_key TEXT NOT NULL, + api_base VARCHAR(500), + litellm_params JSONB DEFAULT '{}', + + -- Prompt Configuration + system_instructions TEXT NOT NULL DEFAULT '', + use_default_system_instructions BOOLEAN NOT NULL DEFAULT TRUE, + citations_enabled BOOLEAN NOT NULL DEFAULT TRUE, + + -- Default flag + is_default BOOLEAN NOT NULL DEFAULT FALSE, + + -- Foreign key to search space + search_space_id INTEGER NOT NULL REFERENCES searchspaces(id) ON DELETE CASCADE + ); + END IF; + END$$; + """ + ) + + # Create indexes if they don't exist + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT 1 FROM pg_indexes + WHERE tablename = 'new_llm_configs' AND indexname = 'ix_new_llm_configs_id' + ) THEN + CREATE INDEX ix_new_llm_configs_id ON new_llm_configs(id); + END IF; + + IF NOT EXISTS ( + SELECT 1 FROM pg_indexes + WHERE tablename = 'new_llm_configs' AND indexname = 'ix_new_llm_configs_created_at' + ) THEN + CREATE INDEX ix_new_llm_configs_created_at ON new_llm_configs(created_at); + END IF; + + IF NOT EXISTS ( + SELECT 1 FROM pg_indexes + WHERE tablename = 'new_llm_configs' AND indexname = 'ix_new_llm_configs_name' + ) THEN + CREATE INDEX ix_new_llm_configs_name ON new_llm_configs(name); + END IF; + + IF NOT EXISTS ( + SELECT 1 FROM pg_indexes + WHERE tablename = 'new_llm_configs' AND indexname = 'ix_new_llm_configs_search_space_id' + ) THEN + CREATE INDEX ix_new_llm_configs_search_space_id ON new_llm_configs(search_space_id); + END IF; + END$$; + """ + ) + + +def downgrade() -> None: + """Remove the new_llm_configs table.""" + # Drop indexes + op.execute("DROP INDEX IF EXISTS ix_new_llm_configs_search_space_id") + op.execute("DROP INDEX IF EXISTS ix_new_llm_configs_name") + op.execute("DROP INDEX IF EXISTS ix_new_llm_configs_created_at") + op.execute("DROP INDEX IF EXISTS ix_new_llm_configs_id") + + # Drop table + op.execute("DROP TABLE IF EXISTS new_llm_configs") diff --git a/surfsense_backend/alembic/versions/52_rename_llm_preference_columns.py b/surfsense_backend/alembic/versions/52_rename_llm_preference_columns.py new file mode 100644 index 000000000..cd1a1dbbc --- /dev/null +++ b/surfsense_backend/alembic/versions/52_rename_llm_preference_columns.py @@ -0,0 +1,130 @@ +"""Rename LLM preference columns in searchspaces table + +Revision ID: 52 +Revises: 51 +Create Date: 2024-12-22 + +This migration renames the LLM preference columns: +- fast_llm_id -> agent_llm_id +- long_context_llm_id -> document_summary_llm_id +- strategic_llm_id is removed (data migrated to document_summary_llm_id) +""" + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "52" +down_revision = "51" +branch_labels = None +depends_on = None + + +def upgrade(): + # First, migrate any strategic_llm_id values to document_summary_llm_id + # (only if document_summary_llm_id/long_context_llm_id is NULL) + # Use IF EXISTS check to handle case where column might not exist + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'searchspaces' AND column_name = 'strategic_llm_id' + ) THEN + UPDATE searchspaces + SET long_context_llm_id = strategic_llm_id + WHERE long_context_llm_id IS NULL AND strategic_llm_id IS NOT NULL; + END IF; + END$$; + """ + ) + + # Rename columns (only if they exist with old names) + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'searchspaces' AND column_name = 'fast_llm_id' + ) THEN + ALTER TABLE searchspaces RENAME COLUMN fast_llm_id TO agent_llm_id; + END IF; + END$$; + """ + ) + + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'searchspaces' AND column_name = 'long_context_llm_id' + ) THEN + ALTER TABLE searchspaces RENAME COLUMN long_context_llm_id TO document_summary_llm_id; + END IF; + END$$; + """ + ) + + # Drop the strategic_llm_id column if it exists + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'searchspaces' AND column_name = 'strategic_llm_id' + ) THEN + ALTER TABLE searchspaces DROP COLUMN strategic_llm_id; + END IF; + END$$; + """ + ) + + +def downgrade(): + # Add back the strategic_llm_id column + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'searchspaces' AND column_name = 'strategic_llm_id' + ) THEN + ALTER TABLE searchspaces ADD COLUMN strategic_llm_id INTEGER; + END IF; + END$$; + """ + ) + + # Rename columns back + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'searchspaces' AND column_name = 'agent_llm_id' + ) THEN + ALTER TABLE searchspaces RENAME COLUMN agent_llm_id TO fast_llm_id; + END IF; + END$$; + """ + ) + + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'searchspaces' AND column_name = 'document_summary_llm_id' + ) THEN + ALTER TABLE searchspaces RENAME COLUMN document_summary_llm_id TO long_context_llm_id; + END IF; + END$$; + """ + ) diff --git a/surfsense_backend/alembic/versions/53_cleanup_old_llm_configs.py b/surfsense_backend/alembic/versions/53_cleanup_old_llm_configs.py new file mode 100644 index 000000000..16f5779be --- /dev/null +++ b/surfsense_backend/alembic/versions/53_cleanup_old_llm_configs.py @@ -0,0 +1,244 @@ +"""Migrate data from old llm_configs to new_llm_configs and cleanup + +Revision ID: 53 +Revises: 52 +Create Date: 2024-12-22 + +This migration: +1. Migrates data from old llm_configs table to new_llm_configs (preserving user configs) +2. Drops the old llm_configs table (no longer used) +3. Removes the is_default column from new_llm_configs (roles now determine which config to use) +""" + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "53" +down_revision = "52" +branch_labels = None +depends_on = None + + +def upgrade(): + # STEP 1: Migrate data from old llm_configs to new_llm_configs + # This preserves any user-created configurations + op.execute( + """ + DO $$ + BEGIN + -- Only migrate if both tables exist + IF EXISTS ( + SELECT FROM information_schema.tables + WHERE table_name = 'llm_configs' + ) AND EXISTS ( + SELECT FROM information_schema.tables + WHERE table_name = 'new_llm_configs' + ) THEN + -- Insert old configs into new table (skipping duplicates by name+search_space_id) + INSERT INTO new_llm_configs ( + name, + description, + provider, + custom_provider, + model_name, + api_key, + api_base, + litellm_params, + system_instructions, + use_default_system_instructions, + citations_enabled, + is_default, + search_space_id, + created_at + ) + SELECT + lc.name, + NULL as description, -- Old table didn't have description + lc.provider, + lc.custom_provider, + lc.model_name, + lc.api_key, + lc.api_base, + COALESCE(lc.litellm_params, '{}'::jsonb), + '' as system_instructions, -- Use defaults + TRUE as use_default_system_instructions, + TRUE as citations_enabled, + FALSE as is_default, + lc.search_space_id, + COALESCE(lc.created_at, NOW()) + FROM llm_configs lc + WHERE lc.search_space_id IS NOT NULL + AND NOT EXISTS ( + -- Skip if a config with same name already exists in new_llm_configs for this search space + SELECT 1 FROM new_llm_configs nlc + WHERE nlc.name = lc.name + AND nlc.search_space_id = lc.search_space_id + ); + + -- Log how many configs were migrated + RAISE NOTICE 'Migrated % configs from llm_configs to new_llm_configs', + (SELECT COUNT(*) FROM llm_configs WHERE search_space_id IS NOT NULL); + END IF; + END$$; + """ + ) + + # STEP 2: Update searchspaces to point to new_llm_configs for their agent LLM + # If a search space had an agent_llm_id pointing to old llm_configs, + # try to find the corresponding config in new_llm_configs + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT FROM information_schema.tables + WHERE table_name = 'llm_configs' + ) THEN + -- Update agent_llm_id to point to migrated config in new_llm_configs + UPDATE searchspaces ss + SET agent_llm_id = ( + SELECT nlc.id + FROM new_llm_configs nlc + JOIN llm_configs lc ON lc.name = nlc.name AND lc.search_space_id = nlc.search_space_id + WHERE lc.id = ss.agent_llm_id + AND nlc.search_space_id = ss.id + LIMIT 1 + ) + WHERE ss.agent_llm_id IS NOT NULL + AND ss.agent_llm_id > 0 -- Only positive IDs (not global configs) + AND EXISTS ( + SELECT 1 FROM llm_configs lc WHERE lc.id = ss.agent_llm_id + ); + + -- Update document_summary_llm_id similarly + UPDATE searchspaces ss + SET document_summary_llm_id = ( + SELECT nlc.id + FROM new_llm_configs nlc + JOIN llm_configs lc ON lc.name = nlc.name AND lc.search_space_id = nlc.search_space_id + WHERE lc.id = ss.document_summary_llm_id + AND nlc.search_space_id = ss.id + LIMIT 1 + ) + WHERE ss.document_summary_llm_id IS NOT NULL + AND ss.document_summary_llm_id > 0 -- Only positive IDs (not global configs) + AND EXISTS ( + SELECT 1 FROM llm_configs lc WHERE lc.id = ss.document_summary_llm_id + ); + END IF; + END$$; + """ + ) + + # STEP 3: Drop the is_default column from new_llm_configs + # (role assignments now determine which config to use) + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'new_llm_configs' AND column_name = 'is_default' + ) THEN + ALTER TABLE new_llm_configs DROP COLUMN is_default; + END IF; + END$$; + """ + ) + + # STEP 4: Drop the old llm_configs table (data has been migrated) + op.execute("DROP TABLE IF EXISTS llm_configs CASCADE") + + +def downgrade(): + # Recreate the old llm_configs table + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT FROM information_schema.tables + WHERE table_name = 'llm_configs' + ) THEN + CREATE TABLE llm_configs ( + id SERIAL PRIMARY KEY, + name VARCHAR(100) NOT NULL, + provider litellmprovider NOT NULL, + custom_provider VARCHAR(100), + model_name VARCHAR(100) NOT NULL, + api_key TEXT NOT NULL, + api_base VARCHAR(500), + language VARCHAR(50), + litellm_params JSONB DEFAULT '{}', + search_space_id INTEGER REFERENCES searchspaces(id) ON DELETE CASCADE, + created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(), + updated_at TIMESTAMP WITH TIME ZONE + ); + + -- Create indexes + CREATE INDEX IF NOT EXISTS ix_llm_configs_id ON llm_configs(id); + CREATE INDEX IF NOT EXISTS ix_llm_configs_name ON llm_configs(name); + CREATE INDEX IF NOT EXISTS ix_llm_configs_created_at ON llm_configs(created_at); + END IF; + END$$; + """ + ) + + # Migrate data back from new_llm_configs to llm_configs + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT FROM information_schema.tables + WHERE table_name = 'new_llm_configs' + ) THEN + INSERT INTO llm_configs ( + name, + provider, + custom_provider, + model_name, + api_key, + api_base, + language, + litellm_params, + search_space_id, + created_at + ) + SELECT + nlc.name, + nlc.provider, + nlc.custom_provider, + nlc.model_name, + nlc.api_key, + nlc.api_base, + 'English' as language, -- Default language + COALESCE(nlc.litellm_params, '{}'::jsonb), + nlc.search_space_id, + nlc.created_at + FROM new_llm_configs nlc + WHERE nlc.search_space_id IS NOT NULL + AND NOT EXISTS ( + SELECT 1 FROM llm_configs lc + WHERE lc.name = nlc.name + AND lc.search_space_id = nlc.search_space_id + ); + END IF; + END$$; + """ + ) + + # Add back the is_default column to new_llm_configs + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'new_llm_configs' AND column_name = 'is_default' + ) THEN + ALTER TABLE new_llm_configs ADD COLUMN is_default BOOLEAN NOT NULL DEFAULT FALSE; + END IF; + END$$; + """ + ) diff --git a/surfsense_backend/app/agents/new_chat/__init__.py b/surfsense_backend/app/agents/new_chat/__init__.py index 2ee5fe1d5..eccb7a5c3 100644 --- a/surfsense_backend/app/agents/new_chat/__init__.py +++ b/surfsense_backend/app/agents/new_chat/__init__.py @@ -31,56 +31,50 @@ from .system_prompt import ( ) # Tools - registry exports +# Tools - factory exports (for direct use) +# Tools - knowledge base utilities from .tools import ( BUILTIN_TOOLS, ToolDefinition, build_tools, - get_all_tool_names, - get_default_enabled_tools, - get_tool_by_name, -) - -# Tools - factory exports (for direct use) -from .tools import ( create_display_image_tool, create_generate_podcast_tool, create_link_preview_tool, create_scrape_webpage_tool, create_search_knowledge_base_tool, -) - -# Tools - knowledge base utilities -from .tools import ( format_documents_for_context, + get_all_tool_names, + get_default_enabled_tools, + get_tool_by_name, search_knowledge_base_async, ) __all__ = [ - # Agent factory - "create_surfsense_deep_agent", - # Context - "SurfSenseContextSchema", - # LLM config - "create_chat_litellm_from_config", - "load_llm_config_from_yaml", + # Tools registry + "BUILTIN_TOOLS", # System prompt "SURFSENSE_CITATION_INSTRUCTIONS", "SURFSENSE_SYSTEM_PROMPT", - "build_surfsense_system_prompt", - # Tools registry - "BUILTIN_TOOLS", + # Context + "SurfSenseContextSchema", "ToolDefinition", + "build_surfsense_system_prompt", "build_tools", - "get_all_tool_names", - "get_default_enabled_tools", - "get_tool_by_name", + # LLM config + "create_chat_litellm_from_config", # Tool factories "create_display_image_tool", "create_generate_podcast_tool", "create_link_preview_tool", "create_scrape_webpage_tool", "create_search_knowledge_base_tool", + # Agent factory + "create_surfsense_deep_agent", # Knowledge base utilities "format_documents_for_context", + "get_all_tool_names", + "get_default_enabled_tools", + "get_tool_by_name", + "load_llm_config_from_yaml", "search_knowledge_base_async", ] diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py index b2bcc008c..8fd5f3b71 100644 --- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py +++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py @@ -2,7 +2,8 @@ SurfSense deep agent implementation. This module provides the factory function for creating SurfSense deep agents -with configurable tools via the tools registry. +with configurable tools via the tools registry and configurable prompts +via NewLLMConfig. """ from collections.abc import Sequence @@ -14,7 +15,11 @@ from langgraph.types import Checkpointer from sqlalchemy.ext.asyncio import AsyncSession from app.agents.new_chat.context import SurfSenseContextSchema -from app.agents.new_chat.system_prompt import build_surfsense_system_prompt +from app.agents.new_chat.llm_config import AgentConfig +from app.agents.new_chat.system_prompt import ( + build_configurable_system_prompt, + build_surfsense_system_prompt, +) from app.agents.new_chat.tools import build_tools from app.services.connector_service import ConnectorService @@ -29,13 +34,14 @@ def create_surfsense_deep_agent( db_session: AsyncSession, connector_service: ConnectorService, checkpointer: Checkpointer, + agent_config: AgentConfig | None = None, enabled_tools: list[str] | None = None, disabled_tools: list[str] | None = None, additional_tools: Sequence[BaseTool] | None = None, firecrawl_api_key: str | None = None, ): """ - Create a SurfSense deep agent with configurable tools. + Create a SurfSense deep agent with configurable tools and prompts. The agent comes with built-in tools that can be configured: - search_knowledge_base: Search the user's personal knowledge base @@ -44,6 +50,10 @@ def create_surfsense_deep_agent( - display_image: Display images in chat - scrape_webpage: Extract content from webpages + The system prompt can be configured via agent_config: + - Custom system instructions (or use defaults) + - Citation toggle (enable/disable citation requirements) + Args: llm: ChatLiteLLM instance for the agent's language model search_space_id: The user's search space ID @@ -51,6 +61,8 @@ def create_surfsense_deep_agent( connector_service: Initialized connector service for knowledge base search checkpointer: LangGraph checkpointer for conversation state persistence. Use AsyncPostgresSaver for production or MemorySaver for testing. + agent_config: Optional AgentConfig from NewLLMConfig for prompt configuration. + If None, uses default system prompt with citations enabled. enabled_tools: Explicit list of tool names to enable. If None, all default tools are enabled. Use this to limit which tools are available. disabled_tools: List of tool names to disable. Applied after enabled_tools. @@ -64,9 +76,21 @@ def create_surfsense_deep_agent( CompiledStateGraph: The configured deep agent Examples: - # Create agent with all default tools + # Create agent with all default tools and default prompt agent = create_surfsense_deep_agent(llm, search_space_id, db_session, ...) + # Create agent with custom prompt configuration + agent = create_surfsense_deep_agent( + llm, search_space_id, db_session, ..., + agent_config=AgentConfig( + provider="OPENAI", + model_name="gpt-4", + api_key="...", + system_instructions="Custom instructions...", + citations_enabled=False, + ) + ) + # Create agent with only specific tools agent = create_surfsense_deep_agent( llm, search_space_id, db_session, ..., @@ -101,11 +125,23 @@ def create_surfsense_deep_agent( additional_tools=list(additional_tools) if additional_tools else None, ) + # Build system prompt based on agent_config + if agent_config is not None: + # Use configurable prompt with settings from NewLLMConfig + system_prompt = build_configurable_system_prompt( + custom_system_instructions=agent_config.system_instructions, + use_default_system_instructions=agent_config.use_default_system_instructions, + citations_enabled=agent_config.citations_enabled, + ) + else: + # Use default prompt (with citations enabled) + system_prompt = build_surfsense_system_prompt() + # Create the deep agent with system prompt and checkpointer agent = create_deep_agent( model=llm, tools=tools, - system_prompt=build_surfsense_system_prompt(), + system_prompt=system_prompt, context_schema=SurfSenseContextSchema, checkpointer=checkpointer, ) diff --git a/surfsense_backend/app/agents/new_chat/llm_config.py b/surfsense_backend/app/agents/new_chat/llm_config.py index b6b406a38..a55ed79d3 100644 --- a/surfsense_backend/app/agents/new_chat/llm_config.py +++ b/surfsense_backend/app/agents/new_chat/llm_config.py @@ -1,14 +1,144 @@ """ LLM configuration utilities for SurfSense agents. -This module provides functions for loading LLM configurations from YAML files -and creating ChatLiteLLM instances from configuration dictionaries. +This module provides functions for loading LLM configurations from: +1. YAML files (global configs with negative IDs) +2. Database NewLLMConfig table (user-created configs with positive IDs) + +It also provides utilities for creating ChatLiteLLM instances and +managing prompt configurations. """ +from dataclasses import dataclass from pathlib import Path import yaml from langchain_litellm import ChatLiteLLM +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +# Provider mapping for LiteLLM model string construction +PROVIDER_MAP = { + "OPENAI": "openai", + "ANTHROPIC": "anthropic", + "GROQ": "groq", + "COHERE": "cohere", + "GOOGLE": "gemini", + "OLLAMA": "ollama", + "MISTRAL": "mistral", + "AZURE_OPENAI": "azure", + "OPENROUTER": "openrouter", + "XAI": "xai", + "BEDROCK": "bedrock", + "VERTEX_AI": "vertex_ai", + "TOGETHER_AI": "together_ai", + "FIREWORKS_AI": "fireworks_ai", + "DEEPSEEK": "openai", + "ALIBABA_QWEN": "openai", + "MOONSHOT": "openai", + "ZHIPU": "openai", + "REPLICATE": "replicate", + "PERPLEXITY": "perplexity", + "ANYSCALE": "anyscale", + "DEEPINFRA": "deepinfra", + "CEREBRAS": "cerebras", + "SAMBANOVA": "sambanova", + "AI21": "ai21", + "CLOUDFLARE": "cloudflare", + "DATABRICKS": "databricks", + "COMETAPI": "cometapi", + "HUGGINGFACE": "huggingface", + "CUSTOM": "custom", +} + + +@dataclass +class AgentConfig: + """ + Complete configuration for the SurfSense agent. + + This combines LLM settings with prompt configuration from NewLLMConfig. + """ + + # LLM Model Settings + provider: str + model_name: str + api_key: str + api_base: str | None = None + custom_provider: str | None = None + litellm_params: dict | None = None + + # Prompt Configuration + system_instructions: str | None = None + use_default_system_instructions: bool = True + citations_enabled: bool = True + + # Metadata + config_id: int | None = None + config_name: str | None = None + + @classmethod + def from_new_llm_config(cls, config) -> "AgentConfig": + """ + Create an AgentConfig from a NewLLMConfig database model. + + Args: + config: NewLLMConfig database model instance + + Returns: + AgentConfig instance + """ + return cls( + provider=config.provider.value + if hasattr(config.provider, "value") + else str(config.provider), + model_name=config.model_name, + api_key=config.api_key, + api_base=config.api_base, + custom_provider=config.custom_provider, + litellm_params=config.litellm_params, + system_instructions=config.system_instructions, + use_default_system_instructions=config.use_default_system_instructions, + citations_enabled=config.citations_enabled, + config_id=config.id, + config_name=config.name, + ) + + @classmethod + def from_yaml_config(cls, yaml_config: dict) -> "AgentConfig": + """ + Create an AgentConfig from a YAML configuration dictionary. + + YAML configs now support the same prompt configuration fields as NewLLMConfig: + - system_instructions: Custom system instructions (empty string uses defaults) + - use_default_system_instructions: Whether to use default instructions + - citations_enabled: Whether citations are enabled + + Args: + yaml_config: Configuration dictionary from YAML file + + Returns: + AgentConfig instance + """ + # Get system instructions from YAML, default to empty string + system_instructions = yaml_config.get("system_instructions", "") + + return cls( + provider=yaml_config.get("provider", "").upper(), + model_name=yaml_config.get("model_name", ""), + api_key=yaml_config.get("api_key", ""), + api_base=yaml_config.get("api_base"), + custom_provider=yaml_config.get("custom_provider"), + litellm_params=yaml_config.get("litellm_params"), + # Prompt configuration from YAML (with defaults for backwards compatibility) + system_instructions=system_instructions if system_instructions else None, + use_default_system_instructions=yaml_config.get( + "use_default_system_instructions", True + ), + citations_enabled=yaml_config.get("citations_enabled", True), + config_id=yaml_config.get("id"), + config_name=yaml_config.get("name"), + ) def load_llm_config_from_yaml(llm_config_id: int = -1) -> dict | None: @@ -47,9 +177,118 @@ def load_llm_config_from_yaml(llm_config_id: int = -1) -> dict | None: return None +async def load_new_llm_config_from_db( + session: AsyncSession, + config_id: int, +) -> "AgentConfig | None": + """ + Load a NewLLMConfig from the database by ID. + + Args: + session: AsyncSession for database access + config_id: The ID of the NewLLMConfig to load + + Returns: + AgentConfig instance or None if not found + """ + # Import here to avoid circular imports + from app.db import NewLLMConfig + + try: + result = await session.execute( + select(NewLLMConfig).filter(NewLLMConfig.id == config_id) + ) + config = result.scalars().first() + + if not config: + print(f"Error: NewLLMConfig with id {config_id} not found") + return None + + return AgentConfig.from_new_llm_config(config) + except Exception as e: + print(f"Error loading NewLLMConfig from database: {e}") + return None + + +async def load_agent_llm_config_for_search_space( + session: AsyncSession, + search_space_id: int, +) -> "AgentConfig | None": + """ + Load the agent LLM configuration for a search space. + + This loads the LLM config based on the search space's agent_llm_id setting: + - Positive ID: Load from NewLLMConfig database table + - Negative ID: Load from YAML global configs + - None: Falls back to first global config (id=-1) + + Args: + session: AsyncSession for database access + search_space_id: The search space ID + + Returns: + AgentConfig instance or None if not found + """ + # Import here to avoid circular imports + from app.db import SearchSpace + + try: + # Get the search space to check its agent_llm_id preference + result = await session.execute( + select(SearchSpace).filter(SearchSpace.id == search_space_id) + ) + search_space = result.scalars().first() + + if not search_space: + print(f"Error: SearchSpace with id {search_space_id} not found") + return None + + # Use agent_llm_id from search space, fallback to -1 (first global config) + config_id = ( + search_space.agent_llm_id if search_space.agent_llm_id is not None else -1 + ) + + # Load the config using the unified loader + return await load_agent_config(session, config_id, search_space_id) + except Exception as e: + print(f"Error loading agent LLM config for search space {search_space_id}: {e}") + return None + + +async def load_agent_config( + session: AsyncSession, + config_id: int, + search_space_id: int | None = None, +) -> "AgentConfig | None": + """ + Load an agent configuration, supporting both YAML (negative IDs) and database (positive IDs) configs. + + This is the main entry point for loading configurations: + - Negative IDs: Load from YAML file (global configs) + - Positive IDs: Load from NewLLMConfig database table + + Args: + session: AsyncSession for database access + config_id: The config ID (negative for YAML, positive for database) + search_space_id: Optional search space ID for context + + Returns: + AgentConfig instance or None if not found + """ + if config_id < 0: + # Load from YAML (global configs have negative IDs) + yaml_config = load_llm_config_from_yaml(config_id) + if yaml_config: + return AgentConfig.from_yaml_config(yaml_config) + return None + else: + # Load from database (NewLLMConfig) + return await load_new_llm_config_from_db(session, config_id) + + def create_chat_litellm_from_config(llm_config: dict) -> ChatLiteLLM | None: """ - Create a ChatLiteLLM instance from a global LLM config. + Create a ChatLiteLLM instance from a global LLM config dictionary. Args: llm_config: LLM configuration dictionary from YAML @@ -57,34 +296,12 @@ def create_chat_litellm_from_config(llm_config: dict) -> ChatLiteLLM | None: Returns: ChatLiteLLM instance or None on error """ - # Provider mapping (same as in llm_service.py) - provider_map = { - "OPENAI": "openai", - "ANTHROPIC": "anthropic", - "GROQ": "groq", - "COHERE": "cohere", - "GOOGLE": "gemini", - "OLLAMA": "ollama", - "MISTRAL": "mistral", - "AZURE_OPENAI": "azure", - "OPENROUTER": "openrouter", - "XAI": "xai", - "BEDROCK": "bedrock", - "VERTEX_AI": "vertex_ai", - "TOGETHER_AI": "together_ai", - "FIREWORKS_AI": "fireworks_ai", - "DEEPSEEK": "openai", - "ALIBABA_QWEN": "openai", - "MOONSHOT": "openai", - "ZHIPU": "openai", - } - # Build the model string if llm_config.get("custom_provider"): model_string = f"{llm_config['custom_provider']}/{llm_config['model_name']}" else: provider = llm_config.get("provider", "").upper() - provider_prefix = provider_map.get(provider, provider.lower()) + provider_prefix = PROVIDER_MAP.get(provider, provider.lower()) model_string = f"{provider_prefix}/{llm_config['model_name']}" # Create ChatLiteLLM instance with streaming enabled @@ -103,3 +320,42 @@ def create_chat_litellm_from_config(llm_config: dict) -> ChatLiteLLM | None: litellm_kwargs.update(llm_config["litellm_params"]) return ChatLiteLLM(**litellm_kwargs) + + +def create_chat_litellm_from_agent_config( + agent_config: AgentConfig, +) -> ChatLiteLLM | None: + """ + Create a ChatLiteLLM instance from an AgentConfig. + + Args: + agent_config: AgentConfig instance + + Returns: + ChatLiteLLM instance or None on error + """ + # Build the model string + if agent_config.custom_provider: + model_string = f"{agent_config.custom_provider}/{agent_config.model_name}" + else: + provider_prefix = PROVIDER_MAP.get( + agent_config.provider, agent_config.provider.lower() + ) + model_string = f"{provider_prefix}/{agent_config.model_name}" + + # Create ChatLiteLLM instance with streaming enabled + litellm_kwargs = { + "model": model_string, + "api_key": agent_config.api_key, + "streaming": True, # Enable streaming for real-time token streaming + } + + # Add optional parameters + if agent_config.api_base: + litellm_kwargs["api_base"] = agent_config.api_base + + # Add any additional litellm parameters + if agent_config.litellm_params: + litellm_kwargs.update(agent_config.litellm_params) + + return ChatLiteLLM(**litellm_kwargs) diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py index c0b9bb091..91b4eee08 100644 --- a/surfsense_backend/app/agents/new_chat/system_prompt.py +++ b/surfsense_backend/app/agents/new_chat/system_prompt.py @@ -3,10 +3,16 @@ System prompt building for SurfSense agents. This module provides functions and constants for building the SurfSense system prompt with configurable user instructions and citation support. + +The prompt is composed of three parts: +1. System Instructions (configurable via NewLLMConfig) +2. Tools Instructions (always included, not configurable) +3. Citation Instructions (toggleable via NewLLMConfig.citations_enabled) """ from datetime import UTC, datetime +# Default system instructions - can be overridden via NewLLMConfig.system_instructions SURFSENSE_SYSTEM_INSTRUCTIONS = """ You are SurfSense, a reasoning and acting AI agent designed to answer user questions using the user's personal knowledge base. @@ -219,12 +225,38 @@ However, from your video learning, it's important to note that asyncio is not su """ +# Anti-citation prompt - used when citations are disabled +# This explicitly tells the model NOT to include citations +SURFSENSE_NO_CITATION_INSTRUCTIONS = """ + +IMPORTANT: Citations are DISABLED for this configuration. + +DO NOT include any citations in your responses. Specifically: +1. Do NOT use the [citation:chunk_id] format anywhere in your response. +2. Do NOT reference document IDs, chunk IDs, or source IDs. +3. Simply provide the information naturally without any citation markers. +4. Write your response as if you're having a normal conversation, incorporating the information from your knowledge seamlessly. + +When answering questions based on documents from the knowledge base: +- Present the information directly and confidently +- Do not mention that information comes from specific documents or chunks +- Integrate facts naturally into your response without attribution markers + +Your goal is to provide helpful, informative answers in a clean, readable format without any citation notation. + +""" + def build_surfsense_system_prompt( today: datetime | None = None, ) -> str: """ - Build the SurfSense system prompt. + Build the SurfSense system prompt with default settings. + + This is a convenience function that builds the prompt with: + - Default system instructions + - Tools instructions (always included) + - Citation instructions enabled Args: today: Optional datetime for today's date (defaults to current UTC date) @@ -241,4 +273,74 @@ def build_surfsense_system_prompt( ) +def build_configurable_system_prompt( + custom_system_instructions: str | None = None, + use_default_system_instructions: bool = True, + citations_enabled: bool = True, + today: datetime | None = None, +) -> str: + """ + Build a configurable SurfSense system prompt based on NewLLMConfig settings. + + The prompt is composed of three parts: + 1. System Instructions - either custom or default SURFSENSE_SYSTEM_INSTRUCTIONS + 2. Tools Instructions - always included (SURFSENSE_TOOLS_INSTRUCTIONS) + 3. Citation Instructions - either SURFSENSE_CITATION_INSTRUCTIONS or SURFSENSE_NO_CITATION_INSTRUCTIONS + + Args: + custom_system_instructions: Custom system instructions to use. If empty/None and + use_default_system_instructions is True, defaults to + SURFSENSE_SYSTEM_INSTRUCTIONS. + use_default_system_instructions: Whether to use default instructions when + custom_system_instructions is empty/None. + citations_enabled: Whether to include citation instructions (True) or + anti-citation instructions (False). + today: Optional datetime for today's date (defaults to current UTC date) + + Returns: + Complete system prompt string + """ + resolved_today = (today or datetime.now(UTC)).astimezone(UTC).date().isoformat() + + # Determine system instructions + if custom_system_instructions and custom_system_instructions.strip(): + # Use custom instructions, injecting the date placeholder if present + system_instructions = custom_system_instructions.format( + resolved_today=resolved_today + ) + elif use_default_system_instructions: + # Use default instructions + system_instructions = SURFSENSE_SYSTEM_INSTRUCTIONS.format( + resolved_today=resolved_today + ) + else: + # No system instructions (edge case) + system_instructions = "" + + # Tools instructions are always included + tools_instructions = SURFSENSE_TOOLS_INSTRUCTIONS + + # Citation instructions based on toggle + citation_instructions = ( + SURFSENSE_CITATION_INSTRUCTIONS + if citations_enabled + else SURFSENSE_NO_CITATION_INSTRUCTIONS + ) + + return system_instructions + tools_instructions + citation_instructions + + +def get_default_system_instructions() -> str: + """ + Get the default system instructions template. + + This is useful for populating the UI with the default value when + creating a new NewLLMConfig. + + Returns: + Default system instructions string (with {resolved_today} placeholder) + """ + return SURFSENSE_SYSTEM_INSTRUCTIONS.strip() + + SURFSENSE_SYSTEM_PROMPT = build_surfsense_system_prompt() diff --git a/surfsense_backend/app/agents/new_chat/tools/__init__.py b/surfsense_backend/app/agents/new_chat/tools/__init__.py index ad75cda16..b89988327 100644 --- a/surfsense_backend/app/agents/new_chat/tools/__init__.py +++ b/surfsense_backend/app/agents/new_chat/tools/__init__.py @@ -13,15 +13,6 @@ Available tools: """ # Registry exports -from .registry import ( - BUILTIN_TOOLS, - ToolDefinition, - build_tools, - get_all_tool_names, - get_default_enabled_tools, - get_tool_by_name, -) - # Tool factory exports (for direct use) from .display_image import create_display_image_tool from .knowledge_base import ( @@ -31,6 +22,14 @@ from .knowledge_base import ( ) from .link_preview import create_link_preview_tool from .podcast import create_generate_podcast_tool +from .registry import ( + BUILTIN_TOOLS, + ToolDefinition, + build_tools, + get_all_tool_names, + get_default_enabled_tools, + get_tool_by_name, +) from .scrape_webpage import create_scrape_webpage_tool __all__ = [ @@ -38,9 +37,6 @@ __all__ = [ "BUILTIN_TOOLS", "ToolDefinition", "build_tools", - "get_all_tool_names", - "get_default_enabled_tools", - "get_tool_by_name", # Tool factories "create_display_image_tool", "create_generate_podcast_tool", @@ -49,6 +45,8 @@ __all__ = [ "create_search_knowledge_base_tool", # Knowledge base utilities "format_documents_for_context", + "get_all_tool_names", + "get_default_enabled_tools", + "get_tool_by_name", "search_knowledge_base_async", ] - diff --git a/surfsense_backend/app/agents/new_chat/tools/display_image.py b/surfsense_backend/app/agents/new_chat/tools/display_image.py index 1580568ec..5eb846063 100644 --- a/surfsense_backend/app/agents/new_chat/tools/display_image.py +++ b/surfsense_backend/app/agents/new_chat/tools/display_image.py @@ -86,7 +86,9 @@ def create_display_image_tool(): ratio = "16:9" # Default if "unsplash.com" in src or "pexels.com" in src: ratio = "16:9" - elif "imgur.com" in src or "github.com" in src or "githubusercontent.com" in src: + elif ( + "imgur.com" in src or "github.com" in src or "githubusercontent.com" in src + ): ratio = "auto" return { @@ -101,4 +103,3 @@ def create_display_image_tool(): } return display_image - diff --git a/surfsense_backend/app/agents/new_chat/tools/knowledge_base.py b/surfsense_backend/app/agents/new_chat/tools/knowledge_base.py index 2d818557d..6c3dfd34b 100644 --- a/surfsense_backend/app/agents/new_chat/tools/knowledge_base.py +++ b/surfsense_backend/app/agents/new_chat/tools/knowledge_base.py @@ -605,4 +605,3 @@ def create_search_knowledge_base_tool( ) return search_knowledge_base - diff --git a/surfsense_backend/app/agents/new_chat/tools/link_preview.py b/surfsense_backend/app/agents/new_chat/tools/link_preview.py index 466df2034..188863015 100644 --- a/surfsense_backend/app/agents/new_chat/tools/link_preview.py +++ b/surfsense_backend/app/agents/new_chat/tools/link_preview.py @@ -46,13 +46,17 @@ def extract_og_content(html: str, property_name: str) -> str | None: def extract_twitter_content(html: str, name: str) -> str | None: """Extract Twitter Card meta content from HTML.""" - pattern = rf']+name=["\']twitter:{name}["\'][^>]+content=["\']([^"\']+)["\']' + pattern = ( + rf']+name=["\']twitter:{name}["\'][^>]+content=["\']([^"\']+)["\']' + ) match = re.search(pattern, html, re.IGNORECASE) if match: return match.group(1) # Try content before name - pattern = rf']+content=["\']([^"\']+)["\'][^>]+name=["\']twitter:{name}["\']' + pattern = ( + rf']+content=["\']([^"\']+)["\'][^>]+name=["\']twitter:{name}["\']' + ) match = re.search(pattern, html, re.IGNORECASE) if match: return match.group(1) @@ -289,4 +293,3 @@ def create_link_preview_tool(): } return link_preview - diff --git a/surfsense_backend/app/agents/new_chat/tools/podcast.py b/surfsense_backend/app/agents/new_chat/tools/podcast.py index 01a36d381..ff567bf73 100644 --- a/surfsense_backend/app/agents/new_chat/tools/podcast.py +++ b/surfsense_backend/app/agents/new_chat/tools/podcast.py @@ -171,4 +171,3 @@ def create_generate_podcast_tool( } return generate_podcast - diff --git a/surfsense_backend/app/agents/new_chat/tools/registry.py b/surfsense_backend/app/agents/new_chat/tools/registry.py index 6c6469f33..3b0c2ddac 100644 --- a/surfsense_backend/app/agents/new_chat/tools/registry.py +++ b/surfsense_backend/app/agents/new_chat/tools/registry.py @@ -37,11 +37,18 @@ Example of adding a new tool: ), """ +from collections.abc import Callable from dataclasses import dataclass, field -from typing import Any, Callable +from typing import Any from langchain_core.tools import BaseTool +from .display_image import create_display_image_tool +from .knowledge_base import create_search_knowledge_base_tool +from .link_preview import create_link_preview_tool +from .podcast import create_generate_podcast_tool +from .scrape_webpage import create_scrape_webpage_tool + # ============================================================================= # Tool Definition # ============================================================================= @@ -71,13 +78,6 @@ class ToolDefinition: # Built-in Tools Registry # ============================================================================= -# Import tool factory functions -from .display_image import create_display_image_tool -from .knowledge_base import create_search_knowledge_base_tool -from .link_preview import create_link_preview_tool -from .podcast import create_generate_podcast_tool -from .scrape_webpage import create_scrape_webpage_tool - # Registry of all built-in tools # Contributors: Add your new tools here! BUILTIN_TOOLS: list[ToolDefinition] = [ @@ -228,4 +228,3 @@ def build_tools( tools.extend(additional_tools) return tools - diff --git a/surfsense_backend/app/agents/new_chat/tools/scrape_webpage.py b/surfsense_backend/app/agents/new_chat/tools/scrape_webpage.py index a4928d0c7..24f15edba 100644 --- a/surfsense_backend/app/agents/new_chat/tools/scrape_webpage.py +++ b/surfsense_backend/app/agents/new_chat/tools/scrape_webpage.py @@ -156,7 +156,9 @@ def create_scrape_webpage_tool(firecrawl_api_key: str | None = None): if not description and content: # Use first paragraph as description first_para = content.split("\n\n")[0] if content else "" - description = first_para[:300] + "..." if len(first_para) > 300 else first_para + description = ( + first_para[:300] + "..." if len(first_para) > 300 else first_para + ) # Truncate content if needed content, was_truncated = truncate_content(content, max_length) @@ -194,4 +196,3 @@ def create_scrape_webpage_tool(firecrawl_api_key: str | None = None): } return scrape_webpage - diff --git a/surfsense_backend/app/agents/podcaster/nodes.py b/surfsense_backend/app/agents/podcaster/nodes.py index 1353d2c66..3f908737a 100644 --- a/surfsense_backend/app/agents/podcaster/nodes.py +++ b/surfsense_backend/app/agents/podcaster/nodes.py @@ -12,7 +12,7 @@ from litellm import aspeech from app.config import config as app_config from app.services.kokoro_tts_service import get_kokoro_tts_service -from app.services.llm_service import get_long_context_llm +from app.services.llm_service import get_document_summary_llm from .configuration import Configuration from .prompts import get_podcast_generation_prompt @@ -30,10 +30,12 @@ async def create_podcast_transcript( search_space_id = configuration.search_space_id user_prompt = configuration.user_prompt - # Get search space's long context LLM - llm = await get_long_context_llm(state.db_session, search_space_id) + # Get search space's document summary LLM + llm = await get_document_summary_llm(state.db_session, search_space_id) if not llm: - error_message = f"No long context LLM configured for search space {search_space_id}" + error_message = ( + f"No document summary LLM configured for search space {search_space_id}" + ) print(error_message) raise RuntimeError(error_message) diff --git a/surfsense_backend/app/config/__init__.py b/surfsense_backend/app/config/__init__.py index bffe4f606..08be26de1 100644 --- a/surfsense_backend/app/config/__init__.py +++ b/surfsense_backend/app/config/__init__.py @@ -35,12 +35,6 @@ def load_global_llm_configs(): # Try main config file first global_config_file = BASE_DIR / "app" / "config" / "global_llm_config.yaml" - # Fall back to example file for testing - # if not global_config_file.exists(): - # global_config_file = BASE_DIR / "app" / "config" / "global_llm_config.example.yaml" - # if global_config_file.exists(): - # print("Info: Using global_llm_config.example.yaml (copy to global_llm_config.yaml for production)") - if not global_config_file.exists(): # No global configs available return [] diff --git a/surfsense_backend/app/config/global_llm_config.example.yaml b/surfsense_backend/app/config/global_llm_config.example.yaml index bd574515a..14a18c99a 100644 --- a/surfsense_backend/app/config/global_llm_config.example.yaml +++ b/surfsense_backend/app/config/global_llm_config.example.yaml @@ -9,72 +9,101 @@ # # These configurations will be available to all users as a convenient option # Users can choose to use these global configs or add their own +# +# Structure matches NewLLMConfig: +# - LLM model configuration (provider, model_name, api_key, etc.) +# - Prompt configuration (system_instructions, citations_enabled) global_llm_configs: - # Example: OpenAI GPT-4 Turbo + # Example: OpenAI GPT-4 Turbo with citations enabled - id: -1 name: "Global GPT-4 Turbo" + description: "OpenAI's GPT-4 Turbo with default prompts and citations" provider: "OPENAI" model_name: "gpt-4-turbo-preview" api_key: "sk-your-openai-api-key-here" api_base: "" - language: "English" litellm_params: temperature: 0.7 max_tokens: 4000 + # Prompt Configuration + system_instructions: "" # Empty = use default SURFSENSE_SYSTEM_INSTRUCTIONS + use_default_system_instructions: true + citations_enabled: true # Example: Anthropic Claude 3 Opus - id: -2 name: "Global Claude 3 Opus" + description: "Anthropic's most capable model with citations" provider: "ANTHROPIC" model_name: "claude-3-opus-20240229" api_key: "sk-ant-your-anthropic-api-key-here" api_base: "" - language: "English" litellm_params: temperature: 0.7 max_tokens: 4000 + system_instructions: "" + use_default_system_instructions: true + citations_enabled: true - # Example: Fast model - GPT-3.5 Turbo + # Example: Fast model - GPT-3.5 Turbo (citations disabled for speed) - id: -3 - name: "Global GPT-3.5 Turbo" + name: "Global GPT-3.5 Turbo (Fast)" + description: "Fast responses without citations for quick queries" provider: "OPENAI" model_name: "gpt-3.5-turbo" api_key: "sk-your-openai-api-key-here" api_base: "" - language: "English" litellm_params: temperature: 0.5 max_tokens: 2000 + system_instructions: "" + use_default_system_instructions: true + citations_enabled: false # Disabled for faster responses - # Example: Chinese LLM - DeepSeek + # Example: Chinese LLM - DeepSeek with custom instructions - id: -4 - name: "Global DeepSeek Chat" + name: "Global DeepSeek Chat (Chinese)" + description: "DeepSeek optimized for Chinese language responses" provider: "DEEPSEEK" model_name: "deepseek-chat" api_key: "your-deepseek-api-key-here" api_base: "https://api.deepseek.com/v1" - language: "Chinese" litellm_params: temperature: 0.7 max_tokens: 4000 + # Custom system instructions for Chinese responses + system_instructions: | + + You are SurfSense, a reasoning and acting AI agent designed to answer user questions using the user's personal knowledge base. + + Today's date (UTC): {resolved_today} + + IMPORTANT: Please respond in Chinese (简体中文) unless the user specifically requests another language. + + use_default_system_instructions: false + citations_enabled: true # Example: Groq - Fast inference - id: -5 name: "Global Groq Llama 3" + description: "Ultra-fast Llama 3 70B via Groq" provider: "GROQ" model_name: "llama3-70b-8192" api_key: "your-groq-api-key-here" api_base: "" - language: "English" litellm_params: temperature: 0.7 max_tokens: 8000 + system_instructions: "" + use_default_system_instructions: true + citations_enabled: true # Notes: -# - Use negative IDs to distinguish global configs from user configs +# - Use negative IDs to distinguish global configs from user configs (NewLLMConfig in DB) # - IDs should be unique and sequential (e.g., -1, -2, -3, etc.) # - The 'api_key' field will not be exposed to users via API -# - Users can select these configs for their long_context, fast, or strategic LLM roles +# - system_instructions: Custom prompt or empty string to use defaults +# - use_default_system_instructions: true = use SURFSENSE_SYSTEM_INSTRUCTIONS when system_instructions is empty +# - citations_enabled: true = include citation instructions, false = include anti-citation instructions # - All standard LiteLLM providers are supported - diff --git a/surfsense_backend/app/db.py b/surfsense_backend/app/db.py index 815115640..a2a424c26 100644 --- a/surfsense_backend/app/db.py +++ b/surfsense_backend/app/db.py @@ -452,9 +452,10 @@ class SearchSpace(BaseModel, TimestampMixin): # Search space-level LLM preferences (shared by all members) # Note: These can be negative IDs for global configs (from YAML) or positive IDs for custom configs (from DB) - long_context_llm_id = Column(Integer, nullable=True) - fast_llm_id = Column(Integer, nullable=True) - strategic_llm_id = Column(Integer, nullable=True) + agent_llm_id = Column(Integer, nullable=True) # For agent/chat operations + document_summary_llm_id = Column( + Integer, nullable=True + ) # For document summarization user_id = Column( UUID(as_uuid=True), ForeignKey("user.id", ondelete="CASCADE"), nullable=False @@ -491,10 +492,10 @@ class SearchSpace(BaseModel, TimestampMixin): order_by="SearchSourceConnector.id", cascade="all, delete-orphan", ) - llm_configs = relationship( - "LLMConfig", + new_llm_configs = relationship( + "NewLLMConfig", back_populates="search_space", - order_by="LLMConfig.id", + order_by="NewLLMConfig.id", cascade="all, delete-orphan", ) @@ -553,10 +554,24 @@ class SearchSourceConnector(BaseModel, TimestampMixin): ) -class LLMConfig(BaseModel, TimestampMixin): - __tablename__ = "llm_configs" +class NewLLMConfig(BaseModel, TimestampMixin): + """ + New LLM configuration table that combines model settings with prompt configuration. + + This table provides: + - LLM model configuration (provider, model_name, api_key, etc.) + - Configurable system instructions (defaults to SURFSENSE_SYSTEM_INSTRUCTIONS) + - Citation toggle (enable/disable citation instructions) + + Note: SURFSENSE_TOOLS_INSTRUCTIONS is always used and not configurable. + """ + + __tablename__ = "new_llm_configs" name = Column(String(100), nullable=False, index=True) + description = Column(String(500), nullable=True) + + # === LLM Model Configuration (from original LLMConfig, excluding 'language') === # Provider from the enum provider = Column(SQLAlchemyEnum(LiteLLMProvider), nullable=False) # Custom provider name when provider is CUSTOM @@ -566,16 +581,29 @@ class LLMConfig(BaseModel, TimestampMixin): # API Key should be encrypted before storing api_key = Column(String, nullable=False) api_base = Column(String(500), nullable=True) - - language = Column(String(50), nullable=True, default="English") - # For any other parameters that litellm supports litellm_params = Column(JSON, nullable=True, default={}) + # === Prompt Configuration === + # Configurable system instructions (defaults to SURFSENSE_SYSTEM_INSTRUCTIONS) + # Users can customize this from the UI + system_instructions = Column( + Text, + nullable=False, + default="", # Empty string means use default SURFSENSE_SYSTEM_INSTRUCTIONS + ) + # Whether to use the default system instructions when system_instructions is empty + use_default_system_instructions = Column(Boolean, nullable=False, default=True) + + # Citation toggle - when enabled, SURFSENSE_CITATION_INSTRUCTIONS is injected + # When disabled, an anti-citation prompt is injected instead + citations_enabled = Column(Boolean, nullable=False, default=True) + + # === Relationships === search_space_id = Column( Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False ) - search_space = relationship("SearchSpace", back_populates="llm_configs") + search_space = relationship("SearchSpace", back_populates="new_llm_configs") class Log(BaseModel, TimestampMixin): diff --git a/surfsense_backend/app/prompts/public_search_space_prompts.yaml b/surfsense_backend/app/prompts/public_search_space_prompts.yaml deleted file mode 100644 index 69b2de036..000000000 --- a/surfsense_backend/app/prompts/public_search_space_prompts.yaml +++ /dev/null @@ -1,190 +0,0 @@ -prompts: - # Developer-focused prompts - - key: ethereum_developer - value: "Imagine you are an experienced Ethereum developer tasked with creating a smart contract for a blockchain messenger. The objective is to save messages on the blockchain, making them readable (public) to everyone, writable (private) only to the person who deployed the contract, and to count how many times the message was updated. Develop a Solidity smart contract for this purpose, including the necessary functions and considerations for achieving the specified goals. Please provide the code and any relevant explanations to ensure a clear understanding of the implementation." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: linux_terminal - value: "I want you to act as a linux terminal. I will type commands and you will reply with what the terminal should show. I want you to only reply with the terminal output inside one unique code block, and nothing else. do not write explanations. do not type commands unless I instruct you to do so. when i need to tell you something in english, i will do so by putting text inside curly brackets {like this}." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: javascript_console - value: "I want you to act as a javascript console. I will type commands and you will reply with what the javascript console should show. I want you to only reply with the terminal output inside one unique code block, and nothing else. do not write explanations. do not type commands unless I instruct you to do so. when i need to tell you something in english, i will do so by putting text inside curly brackets {like this}." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: fullstack_developer - value: "I want you to act as a software developer. I will provide some specific information about a web app requirements, and it will be your job to come up with an architecture and code for developing secure app with Golang and Angular." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: regex_generator - value: "I want you to act as a regex generator. Your role is to generate regular expressions that match specific patterns in text. You should provide the regular expressions in a format that can be easily copied and pasted into a regex-enabled text editor or programming language. Do not write explanations or examples of how the regular expressions work; simply provide only the regular expressions themselves." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: senior_frontend_developer - value: "I want you to act as a Senior Frontend developer. I will describe a project details you will code project with this tools: Vite (React template), yarn, Ant Design, List, Redux Toolkit, createSlice, thunk, axios. You should merge files in single index.js file and nothing else. Do not write explanations." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: code_reviewer - value: "I want you to act as a Code reviewer who is experienced developer in the given code language. I will provide you with the code block or methods or code file along with the code language name, and I would like you to review the code and share the feedback, suggestions and alternative recommended approaches. Please write explanations behind the feedback or suggestions or alternative approaches." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: machine_learning_engineer - value: "I want you to act as a machine learning engineer. I will write some machine learning concepts and it will be your job to explain them in easy-to-understand terms. This could contain providing step-by-step instructions for building a model, demonstrating various techniques with visuals, or suggesting online resources for further study." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: sql_terminal - value: "I want you to act as a SQL terminal in front of an example database. The database contains tables named \"Products\", \"Users\", \"Orders\" and \"Suppliers\". I will type queries and you will reply with what the terminal would show. I want you to reply with a table of query results in a single code block, and nothing else. Do not write explanations. Do not type commands unless I instruct you to do so. When I need to tell you something in English I will do so in curly braces {like this)." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: python_interpreter - value: "Act as a Python interpreter. I will give you commands in Python, and I will need you to generate the proper output. Only say the output. But if there is none, say nothing, and don't give me an explanation. If I need to say something, I will do so through comments." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: devops_engineer - value: "You are a Senior DevOps engineer working at a Big Company. Your role is to provide scalable, efficient, and automated solutions for software deployment, infrastructure management, and CI/CD pipelines. Suggest the best DevOps practices, including infrastructure setup, deployment strategies, automation tools, and cost-effective scaling solutions." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - - key: cyber_security_specialist - value: "I want you to act as a cyber security specialist. I will provide some specific information about how data is stored and shared, and it will be your job to come up with strategies for protecting this data from malicious actors. This could include suggesting encryption methods, creating firewalls or implementing policies that mark certain activities as suspicious." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "developer" - - # General productivity prompts - - key: english_translator - value: "I want you to act as an English translator, spelling corrector and improver. I will speak to you in any language and you will detect the language, translate it and answer in the corrected and improved version of my text, in English. I want you to replace my simplified A0-level words and sentences with more beautiful and elegant, upper level English words and sentences. Keep the meaning same, but make them more literary. I want you to only reply the correction, the improvements and nothing else, do not write explanations." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "general" - - - key: proofreader - value: "I want you act as a proofreader. I will provide you texts and I would like you to review them for any spelling, grammar, or punctuation errors. Once you have finished reviewing the text, provide me with any necessary corrections or suggestions for improve the text." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "general" - - - key: note_taking_assistant - value: "I want you to act as a note-taking assistant for a lecture. Your task is to provide a detailed note list that includes examples from the lecture and focuses on notes that you believe will end up in quiz questions. Additionally, please make a separate list for notes that have numbers and data in them and another separated list for the examples that included in this lecture. The notes should be concise and easy to read." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "general" - - - key: essay_writer - value: "I want you to act as an essay writer. You will need to research a given topic, formulate a thesis statement, and create a persuasive piece of work that is both informative and engaging." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "general" - - - key: career_counselor - value: "I want you to act as a career counselor. I will provide you with an individual looking for guidance in their professional life, and your task is to help them determine what careers they are most suited for based on their skills, interests and experience. You should also conduct research into the various options available, explain the job market trends in different industries and advice on which qualifications would be beneficial for pursuing particular fields." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "general" - - - key: life_coach - value: "I want you to act as a life coach. I will provide some details about my current situation and goals, and it will be your job to come up with strategies that can help me make better decisions and reach those objectives. This could involve offering advice on various topics, such as creating plans for achieving success or dealing with difficult emotions." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "general" - - - key: motivational_coach - value: "I want you to act as a motivational coach. I will provide you with some information about someone's goals and challenges, and it will be your job to come up with strategies that can help this person achieve their goals. This could involve providing positive affirmations, giving helpful advice or suggesting activities they can do to reach their end goal." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "general" - - - key: travel_guide - value: "I want you to act as a travel guide. I will write you my location and you will suggest a place to visit near my location. In some cases, I will also give you the type of places I will visit. You will also suggest me places of similar type that are close to my first location." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "general" - - # Creative prompts - - key: storyteller - value: "I want you to act as a storyteller. You will come up with entertaining stories that are engaging, imaginative and captivating for the audience. It can be fairy tales, educational stories or any other type of stories which has the potential to capture people's attention and imagination. Depending on the target audience, you may choose specific themes or topics for your storytelling session e.g., if it's children then you can talk about animals; If it's adults then history-based tales might engage them better etc." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "creative" - - - key: screenwriter - value: "I want you to act as a screenwriter. You will develop an engaging and creative script for either a feature length film, or a Web Series that can captivate its viewers. Start with coming up with interesting characters, the setting of the story, dialogues between the characters etc. Once your character development is complete - create an exciting storyline filled with twists and turns that keeps the viewers in suspense until the end." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "creative" - - - key: novelist - value: "I want you to act as a novelist. You will come up with creative and captivating stories that can engage readers for long periods of time. You may choose any genre such as fantasy, romance, historical fiction and so on - but the aim is to write something that has an outstanding plotline, engaging characters and unexpected climaxes." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "creative" - - - key: poet - value: "I want you to act as a poet. You will create poems that evoke emotions and have the power to stir people's soul. Write on any topic or theme but make sure your words convey the feeling you are trying to express in beautiful yet meaningful ways. You can also come up with short verses that are still powerful enough to leave an imprint in readers' minds." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "creative" - - - key: rapper - value: "I want you to act as a rapper. You will come up with powerful and meaningful lyrics, beats and rhythm that can 'wow' the audience. Your lyrics should have an intriguing meaning and message which people can relate too. When it comes to choosing your beat, make sure it is catchy yet relevant to your words, so that when combined they make an explosion of sound everytime!" - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "creative" - - - key: composer - value: "I want you to act as a composer. I will provide the lyrics to a song and you will create music for it. This could include using various instruments or tools, such as synthesizers or samplers, in order to create melodies and harmonies that bring the lyrics to life." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "creative" - - # Educational prompts - - key: math_teacher - value: "I want you to act as a math teacher. I will provide some mathematical equations or concepts, and it will be your job to explain them in easy-to-understand terms. This could include providing step-by-step instructions for solving a problem, demonstrating various techniques with visuals or suggesting online resources for further study." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "educational" - - - key: philosophy_teacher - value: "I want you to act as a philosophy teacher. I will provide some topics related to the study of philosophy, and it will be your job to explain these concepts in an easy-to-understand manner. This could include providing examples, posing questions or breaking down complex ideas into smaller pieces that are easier to comprehend." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "educational" - - - key: historian - value: "I want you to act as a historian. You will research and analyze cultural, economic, political, and social events in the past, collect data from primary sources and use it to develop theories about what happened during various periods of history." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "educational" - - - key: debater - value: "I want you to act as a debater. I will provide you with some topics related to current events and your task is to research both sides of the debates, present valid arguments for each side, refute opposing points of view, and draw persuasive conclusions based on evidence. Your goal is to help people come away from the discussion with increased knowledge and insight into the topic at hand." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "educational" - - - key: explainer_with_analogies - value: "I want you to act as an explainer who uses analogies to clarify complex topics. When I give you a subject (technical, philosophical or scientific), you'll follow this structure: 1. Ask me 1-2 quick questions to assess my current level of understanding. 2. Based on my answer, create three analogies to explain the topic: one that a 10-year-old would understand, one for a high-school student, and one for a college-level person. 3. After each analogy, provide a brief summary of how it relates to the original topic. 4. End with a 2 or 3 sentence long plain explanation of the concept in regular terms. Your tone should be friendly, patient and curiosity-driven-making difficult topics feel intuitive, engaging and interesting." - author: "awesome-chatgpt-prompts" - link: "https://github.com/f/awesome-chatgpt-prompts" - category: "educational" diff --git a/surfsense_backend/app/routes/__init__.py b/surfsense_backend/app/routes/__init__.py index 6ad87d975..a055bf549 100644 --- a/surfsense_backend/app/routes/__init__.py +++ b/surfsense_backend/app/routes/__init__.py @@ -11,10 +11,10 @@ from .google_calendar_add_connector_route import ( from .google_gmail_add_connector_route import ( router as google_gmail_add_connector_router, ) -from .llm_config_routes import router as llm_config_router from .logs_routes import router as logs_router from .luma_add_connector_route import router as luma_add_connector_router from .new_chat_routes import router as new_chat_router +from .new_llm_config_routes import router as new_llm_config_router from .notes_routes import router as notes_router from .podcasts_routes import router as podcasts_router from .rbac_routes import router as rbac_router @@ -35,5 +35,5 @@ router.include_router(google_calendar_add_connector_router) router.include_router(google_gmail_add_connector_router) router.include_router(airtable_add_connector_router) router.include_router(luma_add_connector_router) -router.include_router(llm_config_router) +router.include_router(new_llm_config_router) # LLM configs with prompt configuration router.include_router(logs_router) diff --git a/surfsense_backend/app/routes/llm_config_routes.py b/surfsense_backend/app/routes/llm_config_routes.py deleted file mode 100644 index 31c7200f5..000000000 --- a/surfsense_backend/app/routes/llm_config_routes.py +++ /dev/null @@ -1,576 +0,0 @@ -import logging - -from fastapi import APIRouter, Depends, HTTPException -from pydantic import BaseModel -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.future import select - -from app.config import config -from app.db import ( - LLMConfig, - Permission, - SearchSpace, - User, - get_async_session, -) -from app.schemas import LLMConfigCreate, LLMConfigRead, LLMConfigUpdate -from app.services.llm_service import validate_llm_config -from app.users import current_active_user -from app.utils.rbac import check_permission - -router = APIRouter() -logger = logging.getLogger(__name__) - - -class LLMPreferencesUpdate(BaseModel): - """Schema for updating search space LLM preferences""" - - long_context_llm_id: int | None = None - fast_llm_id: int | None = None - strategic_llm_id: int | None = None - - -class LLMPreferencesRead(BaseModel): - """Schema for reading search space LLM preferences""" - - long_context_llm_id: int | None = None - fast_llm_id: int | None = None - strategic_llm_id: int | None = None - long_context_llm: LLMConfigRead | None = None - fast_llm: LLMConfigRead | None = None - strategic_llm: LLMConfigRead | None = None - - -class GlobalLLMConfigRead(BaseModel): - """Schema for reading global LLM configs (without API key)""" - - id: int - name: str - provider: str - custom_provider: str | None = None - model_name: str - api_base: str | None = None - language: str | None = None - litellm_params: dict | None = None - is_global: bool = True - - -# Global LLM Config endpoints - - -@router.get("/global-llm-configs", response_model=list[GlobalLLMConfigRead]) -async def get_global_llm_configs( - user: User = Depends(current_active_user), -): - """ - Get all available global LLM configurations. - These are pre-configured by the system administrator and available to all users. - API keys are not exposed through this endpoint. - """ - try: - global_configs = config.GLOBAL_LLM_CONFIGS - - # Remove API keys from response - safe_configs = [] - for cfg in global_configs: - safe_config = { - "id": cfg.get("id"), - "name": cfg.get("name"), - "provider": cfg.get("provider"), - "custom_provider": cfg.get("custom_provider"), - "model_name": cfg.get("model_name"), - "api_base": cfg.get("api_base"), - "language": cfg.get("language"), - "litellm_params": cfg.get("litellm_params", {}), - "is_global": True, - } - safe_configs.append(safe_config) - - return safe_configs - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Failed to fetch global LLM configs: {e!s}" - ) from e - - -@router.post("/llm-configs", response_model=LLMConfigRead) -async def create_llm_config( - llm_config: LLMConfigCreate, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Create a new LLM configuration for a search space. - Requires LLM_CONFIGS_CREATE permission. - """ - try: - # Verify user has permission to create LLM configs - await check_permission( - session, - user, - llm_config.search_space_id, - Permission.LLM_CONFIGS_CREATE.value, - "You don't have permission to create LLM configurations in this search space", - ) - - # Validate the LLM configuration by making a test API call - is_valid, error_message = await validate_llm_config( - provider=llm_config.provider.value, - model_name=llm_config.model_name, - api_key=llm_config.api_key, - api_base=llm_config.api_base, - custom_provider=llm_config.custom_provider, - litellm_params=llm_config.litellm_params, - ) - - if not is_valid: - raise HTTPException( - status_code=400, - detail=f"Invalid LLM configuration: {error_message}", - ) - - db_llm_config = LLMConfig(**llm_config.model_dump()) - session.add(db_llm_config) - await session.commit() - await session.refresh(db_llm_config) - return db_llm_config - except HTTPException: - raise - except Exception as e: - await session.rollback() - raise HTTPException( - status_code=500, detail=f"Failed to create LLM configuration: {e!s}" - ) from e - - -@router.get("/llm-configs", response_model=list[LLMConfigRead]) -async def read_llm_configs( - search_space_id: int, - skip: int = 0, - limit: int = 200, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Get all LLM configurations for a search space. - Requires LLM_CONFIGS_READ permission. - """ - try: - # Verify user has permission to read LLM configs - await check_permission( - session, - user, - search_space_id, - Permission.LLM_CONFIGS_READ.value, - "You don't have permission to view LLM configurations in this search space", - ) - - result = await session.execute( - select(LLMConfig) - .filter(LLMConfig.search_space_id == search_space_id) - .offset(skip) - .limit(limit) - ) - return result.scalars().all() - except HTTPException: - raise - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Failed to fetch LLM configurations: {e!s}" - ) from e - - -@router.get("/llm-configs/{llm_config_id}", response_model=LLMConfigRead) -async def read_llm_config( - llm_config_id: int, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Get a specific LLM configuration by ID. - Requires LLM_CONFIGS_READ permission. - """ - try: - # Get the LLM config - result = await session.execute( - select(LLMConfig).filter(LLMConfig.id == llm_config_id) - ) - llm_config = result.scalars().first() - - if not llm_config: - raise HTTPException(status_code=404, detail="LLM configuration not found") - - # Verify user has permission to read LLM configs - await check_permission( - session, - user, - llm_config.search_space_id, - Permission.LLM_CONFIGS_READ.value, - "You don't have permission to view LLM configurations in this search space", - ) - - return llm_config - except HTTPException: - raise - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Failed to fetch LLM configuration: {e!s}" - ) from e - - -@router.put("/llm-configs/{llm_config_id}", response_model=LLMConfigRead) -async def update_llm_config( - llm_config_id: int, - llm_config_update: LLMConfigUpdate, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Update an existing LLM configuration. - Requires LLM_CONFIGS_UPDATE permission. - """ - try: - # Get the LLM config - result = await session.execute( - select(LLMConfig).filter(LLMConfig.id == llm_config_id) - ) - db_llm_config = result.scalars().first() - - if not db_llm_config: - raise HTTPException(status_code=404, detail="LLM configuration not found") - - # Verify user has permission to update LLM configs - await check_permission( - session, - user, - db_llm_config.search_space_id, - Permission.LLM_CONFIGS_UPDATE.value, - "You don't have permission to update LLM configurations in this search space", - ) - - update_data = llm_config_update.model_dump(exclude_unset=True) - - # Apply updates to a temporary copy for validation - temp_config = { - "provider": update_data.get("provider", db_llm_config.provider.value), - "model_name": update_data.get("model_name", db_llm_config.model_name), - "api_key": update_data.get("api_key", db_llm_config.api_key), - "api_base": update_data.get("api_base", db_llm_config.api_base), - "custom_provider": update_data.get( - "custom_provider", db_llm_config.custom_provider - ), - "litellm_params": update_data.get( - "litellm_params", db_llm_config.litellm_params - ), - } - - # Validate the updated configuration - is_valid, error_message = await validate_llm_config( - provider=temp_config["provider"], - model_name=temp_config["model_name"], - api_key=temp_config["api_key"], - api_base=temp_config["api_base"], - custom_provider=temp_config["custom_provider"], - litellm_params=temp_config["litellm_params"], - ) - - if not is_valid: - raise HTTPException( - status_code=400, - detail=f"Invalid LLM configuration: {error_message}", - ) - - # Apply updates to the database object - for key, value in update_data.items(): - setattr(db_llm_config, key, value) - - await session.commit() - await session.refresh(db_llm_config) - return db_llm_config - except HTTPException: - raise - except Exception as e: - await session.rollback() - raise HTTPException( - status_code=500, detail=f"Failed to update LLM configuration: {e!s}" - ) from e - - -@router.delete("/llm-configs/{llm_config_id}", response_model=dict) -async def delete_llm_config( - llm_config_id: int, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Delete an LLM configuration. - Requires LLM_CONFIGS_DELETE permission. - """ - try: - # Get the LLM config - result = await session.execute( - select(LLMConfig).filter(LLMConfig.id == llm_config_id) - ) - db_llm_config = result.scalars().first() - - if not db_llm_config: - raise HTTPException(status_code=404, detail="LLM configuration not found") - - # Verify user has permission to delete LLM configs - await check_permission( - session, - user, - db_llm_config.search_space_id, - Permission.LLM_CONFIGS_DELETE.value, - "You don't have permission to delete LLM configurations in this search space", - ) - - await session.delete(db_llm_config) - await session.commit() - return {"message": "LLM configuration deleted successfully"} - except HTTPException: - raise - except Exception as e: - await session.rollback() - raise HTTPException( - status_code=500, detail=f"Failed to delete LLM configuration: {e!s}" - ) from e - - -# Search Space LLM Preferences endpoints - - -@router.get( - "/search-spaces/{search_space_id}/llm-preferences", - response_model=LLMPreferencesRead, -) -async def get_llm_preferences( - search_space_id: int, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Get the LLM preferences for a specific search space. - LLM preferences are shared by all members of the search space. - Requires LLM_CONFIGS_READ permission. - """ - try: - # Verify user has permission to read LLM configs - await check_permission( - session, - user, - search_space_id, - Permission.LLM_CONFIGS_READ.value, - "You don't have permission to view LLM preferences in this search space", - ) - - # Get the search space - result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) - ) - search_space = result.scalars().first() - - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") - - # Helper function to get config (global or custom) - async def get_config_for_id(config_id): - if config_id is None: - return None - - # Check if it's a global config (negative ID) - if config_id < 0: - for cfg in config.GLOBAL_LLM_CONFIGS: - if cfg.get("id") == config_id: - # Return as LLMConfigRead-compatible dict - return { - "id": cfg.get("id"), - "name": cfg.get("name"), - "provider": cfg.get("provider"), - "custom_provider": cfg.get("custom_provider"), - "model_name": cfg.get("model_name"), - "api_key": "***GLOBAL***", # Don't expose the actual key - "api_base": cfg.get("api_base"), - "language": cfg.get("language"), - "litellm_params": cfg.get("litellm_params"), - "created_at": None, - "search_space_id": search_space_id, - } - return None - - # It's a custom config, fetch from database - result = await session.execute( - select(LLMConfig).filter(LLMConfig.id == config_id) - ) - return result.scalars().first() - - # Get the configs (from DB for custom, or constructed for global) - long_context_llm = await get_config_for_id(search_space.long_context_llm_id) - fast_llm = await get_config_for_id(search_space.fast_llm_id) - strategic_llm = await get_config_for_id(search_space.strategic_llm_id) - - return { - "long_context_llm_id": search_space.long_context_llm_id, - "fast_llm_id": search_space.fast_llm_id, - "strategic_llm_id": search_space.strategic_llm_id, - "long_context_llm": long_context_llm, - "fast_llm": fast_llm, - "strategic_llm": strategic_llm, - } - except HTTPException: - raise - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Failed to fetch LLM preferences: {e!s}" - ) from e - - -@router.put( - "/search-spaces/{search_space_id}/llm-preferences", - response_model=LLMPreferencesRead, -) -async def update_llm_preferences( - search_space_id: int, - preferences: LLMPreferencesUpdate, - session: AsyncSession = Depends(get_async_session), - user: User = Depends(current_active_user), -): - """ - Update the LLM preferences for a specific search space. - LLM preferences are shared by all members of the search space. - Requires SETTINGS_UPDATE permission (only users with settings access can change). - """ - try: - # Verify user has permission to update settings (not just LLM configs) - # This ensures only users with settings access can change shared LLM preferences - await check_permission( - session, - user, - search_space_id, - Permission.SETTINGS_UPDATE.value, - "You don't have permission to update LLM preferences in this search space", - ) - - # Get the search space - result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) - ) - search_space = result.scalars().first() - - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") - - # Validate that all provided LLM config IDs belong to the search space - update_data = preferences.model_dump(exclude_unset=True) - - # Store language from configs to validate consistency - languages = set() - - for _key, llm_config_id in update_data.items(): - if llm_config_id is not None: - # Check if this is a global config (negative ID) - if llm_config_id < 0: - # Validate global config exists - global_config = None - for cfg in config.GLOBAL_LLM_CONFIGS: - if cfg.get("id") == llm_config_id: - global_config = cfg - break - - if not global_config: - raise HTTPException( - status_code=404, - detail=f"Global LLM configuration {llm_config_id} not found", - ) - - # Collect language for consistency check (if explicitly set) - lang = global_config.get("language") - if lang and lang.strip(): # Only add non-empty languages - languages.add(lang.strip()) - else: - # Verify the LLM config belongs to the search space (custom config) - result = await session.execute( - select(LLMConfig).filter( - LLMConfig.id == llm_config_id, - LLMConfig.search_space_id == search_space_id, - ) - ) - llm_config = result.scalars().first() - if not llm_config: - raise HTTPException( - status_code=404, - detail=f"LLM configuration {llm_config_id} not found in this search space", - ) - - # Collect language for consistency check (if explicitly set) - if llm_config.language and llm_config.language.strip(): - languages.add(llm_config.language.strip()) - - # Language consistency check - only warn if there are multiple explicit languages - # Allow mixing configs with and without language settings - if len(languages) > 1: - # Log warning but allow the operation - logger.warning( - f"Multiple languages detected in LLM selection for search_space {search_space_id}: {languages}. " - "This may affect response quality." - ) - - # Update search space LLM preferences - for key, value in update_data.items(): - setattr(search_space, key, value) - - await session.commit() - await session.refresh(search_space) - - # Helper function to get config (global or custom) - async def get_config_for_id(config_id): - if config_id is None: - return None - - # Check if it's a global config (negative ID) - if config_id < 0: - for cfg in config.GLOBAL_LLM_CONFIGS: - if cfg.get("id") == config_id: - # Return as LLMConfigRead-compatible dict - return { - "id": cfg.get("id"), - "name": cfg.get("name"), - "provider": cfg.get("provider"), - "custom_provider": cfg.get("custom_provider"), - "model_name": cfg.get("model_name"), - "api_key": "***GLOBAL***", # Don't expose the actual key - "api_base": cfg.get("api_base"), - "language": cfg.get("language"), - "litellm_params": cfg.get("litellm_params"), - "created_at": None, - "search_space_id": search_space_id, - } - return None - - # It's a custom config, fetch from database - result = await session.execute( - select(LLMConfig).filter(LLMConfig.id == config_id) - ) - return result.scalars().first() - - # Get the configs (from DB for custom, or constructed for global) - long_context_llm = await get_config_for_id(search_space.long_context_llm_id) - fast_llm = await get_config_for_id(search_space.fast_llm_id) - strategic_llm = await get_config_for_id(search_space.strategic_llm_id) - - # Return updated preferences - return { - "long_context_llm_id": search_space.long_context_llm_id, - "fast_llm_id": search_space.fast_llm_id, - "strategic_llm_id": search_space.strategic_llm_id, - "long_context_llm": long_context_llm, - "fast_llm": fast_llm, - "strategic_llm": strategic_llm, - } - except HTTPException: - raise - except Exception as e: - await session.rollback() - raise HTTPException( - status_code=500, detail=f"Failed to update LLM preferences: {e!s}" - ) from e diff --git a/surfsense_backend/app/routes/new_chat_routes.py b/surfsense_backend/app/routes/new_chat_routes.py index 6cccdaa5b..6026bd95e 100644 --- a/surfsense_backend/app/routes/new_chat_routes.py +++ b/surfsense_backend/app/routes/new_chat_routes.py @@ -685,8 +685,16 @@ async def handle_new_chat( ) search_space = search_space_result.scalars().first() - # TODO: Add new llm config arch then complete this - llm_config_id = -1 + if not search_space: + raise HTTPException(status_code=404, detail="Search space not found") + + # Use agent_llm_id from search space for chat operations + # Positive IDs load from NewLLMConfig database table + # Negative IDs load from YAML global configs + # Falls back to -1 (first global config) if not configured + llm_config_id = ( + search_space.agent_llm_id if search_space.agent_llm_id is not None else -1 + ) # Return streaming response return StreamingResponse( @@ -696,7 +704,6 @@ async def handle_new_chat( chat_id=request.chat_id, session=session, llm_config_id=llm_config_id, - messages=request.messages, attachments=request.attachments, ), media_type="text/event-stream", diff --git a/surfsense_backend/app/routes/new_llm_config_routes.py b/surfsense_backend/app/routes/new_llm_config_routes.py new file mode 100644 index 000000000..d54b95bad --- /dev/null +++ b/surfsense_backend/app/routes/new_llm_config_routes.py @@ -0,0 +1,376 @@ +""" +API routes for NewLLMConfig CRUD operations. + +NewLLMConfig combines LLM model settings with prompt configuration: +- LLM provider, model, API key, etc. +- Configurable system instructions +- Citation toggle +""" + +import logging + +from fastapi import APIRouter, Depends, HTTPException +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.future import select + +from app.agents.new_chat.system_prompt import get_default_system_instructions +from app.config import config +from app.db import ( + NewLLMConfig, + Permission, + User, + get_async_session, +) +from app.schemas import ( + DefaultSystemInstructionsResponse, + GlobalNewLLMConfigRead, + NewLLMConfigCreate, + NewLLMConfigRead, + NewLLMConfigUpdate, +) +from app.services.llm_service import validate_llm_config +from app.users import current_active_user +from app.utils.rbac import check_permission + +router = APIRouter() +logger = logging.getLogger(__name__) + + +# ============================================================================= +# Global Configs Routes +# ============================================================================= + + +@router.get("/global-new-llm-configs", response_model=list[GlobalNewLLMConfigRead]) +async def get_global_new_llm_configs( + user: User = Depends(current_active_user), +): + """ + Get all available global NewLLMConfig configurations. + These are pre-configured by the system administrator and available to all users. + API keys are not exposed through this endpoint. + + Global configs have negative IDs to distinguish from user-created configs. + """ + try: + global_configs = config.GLOBAL_LLM_CONFIGS + + # Transform to new structure, hiding API keys + safe_configs = [] + for cfg in global_configs: + safe_config = { + "id": cfg.get("id"), + "name": cfg.get("name"), + "description": cfg.get("description"), + "provider": cfg.get("provider"), + "custom_provider": cfg.get("custom_provider"), + "model_name": cfg.get("model_name"), + "api_base": cfg.get("api_base") or None, + "litellm_params": cfg.get("litellm_params", {}), + # New prompt configuration fields + "system_instructions": cfg.get("system_instructions", ""), + "use_default_system_instructions": cfg.get( + "use_default_system_instructions", True + ), + "citations_enabled": cfg.get("citations_enabled", True), + "is_global": True, + } + safe_configs.append(safe_config) + + return safe_configs + except Exception as e: + logger.exception("Failed to fetch global NewLLMConfigs") + raise HTTPException( + status_code=500, detail=f"Failed to fetch global configurations: {e!s}" + ) from e + + +# ============================================================================= +# CRUD Routes +# ============================================================================= + + +@router.post("/new-llm-configs", response_model=NewLLMConfigRead) +async def create_new_llm_config( + config_data: NewLLMConfigCreate, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Create a new NewLLMConfig for a search space. + Requires LLM_CONFIGS_CREATE permission. + """ + try: + # Verify user has permission + await check_permission( + session, + user, + config_data.search_space_id, + Permission.LLM_CONFIGS_CREATE.value, + "You don't have permission to create LLM configurations in this search space", + ) + + # Validate the LLM configuration by making a test API call + is_valid, error_message = await validate_llm_config( + provider=config_data.provider.value, + model_name=config_data.model_name, + api_key=config_data.api_key, + api_base=config_data.api_base, + custom_provider=config_data.custom_provider, + litellm_params=config_data.litellm_params, + ) + + if not is_valid: + raise HTTPException( + status_code=400, + detail=f"Invalid LLM configuration: {error_message}", + ) + + # Create the config + db_config = NewLLMConfig(**config_data.model_dump()) + session.add(db_config) + await session.commit() + await session.refresh(db_config) + + return db_config + + except HTTPException: + raise + except Exception as e: + await session.rollback() + logger.exception("Failed to create NewLLMConfig") + raise HTTPException( + status_code=500, detail=f"Failed to create configuration: {e!s}" + ) from e + + +@router.get("/new-llm-configs", response_model=list[NewLLMConfigRead]) +async def list_new_llm_configs( + search_space_id: int, + skip: int = 0, + limit: int = 100, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Get all NewLLMConfigs for a search space. + Requires LLM_CONFIGS_READ permission. + """ + try: + # Verify user has permission + await check_permission( + session, + user, + search_space_id, + Permission.LLM_CONFIGS_READ.value, + "You don't have permission to view LLM configurations in this search space", + ) + + result = await session.execute( + select(NewLLMConfig) + .filter(NewLLMConfig.search_space_id == search_space_id) + .order_by(NewLLMConfig.created_at.desc()) + .offset(skip) + .limit(limit) + ) + + return result.scalars().all() + + except HTTPException: + raise + except Exception as e: + logger.exception("Failed to list NewLLMConfigs") + raise HTTPException( + status_code=500, detail=f"Failed to fetch configurations: {e!s}" + ) from e + + +@router.get( + "/new-llm-configs/default-system-instructions", + response_model=DefaultSystemInstructionsResponse, +) +async def get_default_system_instructions_endpoint( + user: User = Depends(current_active_user), +): + """ + Get the default SURFSENSE_SYSTEM_INSTRUCTIONS template. + Useful for pre-populating the UI when creating a new configuration. + """ + return DefaultSystemInstructionsResponse( + default_system_instructions=get_default_system_instructions() + ) + + +@router.get("/new-llm-configs/{config_id}", response_model=NewLLMConfigRead) +async def get_new_llm_config( + config_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Get a specific NewLLMConfig by ID. + Requires LLM_CONFIGS_READ permission. + """ + try: + result = await session.execute( + select(NewLLMConfig).filter(NewLLMConfig.id == config_id) + ) + config = result.scalars().first() + + if not config: + raise HTTPException(status_code=404, detail="Configuration not found") + + # Verify user has permission + await check_permission( + session, + user, + config.search_space_id, + Permission.LLM_CONFIGS_READ.value, + "You don't have permission to view LLM configurations in this search space", + ) + + return config + + except HTTPException: + raise + except Exception as e: + logger.exception("Failed to get NewLLMConfig") + raise HTTPException( + status_code=500, detail=f"Failed to fetch configuration: {e!s}" + ) from e + + +@router.put("/new-llm-configs/{config_id}", response_model=NewLLMConfigRead) +async def update_new_llm_config( + config_id: int, + update_data: NewLLMConfigUpdate, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Update an existing NewLLMConfig. + Requires LLM_CONFIGS_UPDATE permission. + """ + try: + result = await session.execute( + select(NewLLMConfig).filter(NewLLMConfig.id == config_id) + ) + config = result.scalars().first() + + if not config: + raise HTTPException(status_code=404, detail="Configuration not found") + + # Verify user has permission + await check_permission( + session, + user, + config.search_space_id, + Permission.LLM_CONFIGS_UPDATE.value, + "You don't have permission to update LLM configurations in this search space", + ) + + update_dict = update_data.model_dump(exclude_unset=True) + + # If updating LLM settings, validate them + if any( + key in update_dict + for key in [ + "provider", + "model_name", + "api_key", + "api_base", + "custom_provider", + "litellm_params", + ] + ): + # Build the validation config from existing + updates + validation_config = { + "provider": update_dict.get("provider", config.provider).value + if hasattr(update_dict.get("provider", config.provider), "value") + else update_dict.get("provider", config.provider.value), + "model_name": update_dict.get("model_name", config.model_name), + "api_key": update_dict.get("api_key", config.api_key), + "api_base": update_dict.get("api_base", config.api_base), + "custom_provider": update_dict.get( + "custom_provider", config.custom_provider + ), + "litellm_params": update_dict.get( + "litellm_params", config.litellm_params + ), + } + + is_valid, error_message = await validate_llm_config( + provider=validation_config["provider"], + model_name=validation_config["model_name"], + api_key=validation_config["api_key"], + api_base=validation_config["api_base"], + custom_provider=validation_config["custom_provider"], + litellm_params=validation_config["litellm_params"], + ) + + if not is_valid: + raise HTTPException( + status_code=400, + detail=f"Invalid LLM configuration: {error_message}", + ) + + # Apply updates + for key, value in update_dict.items(): + setattr(config, key, value) + + await session.commit() + await session.refresh(config) + + return config + + except HTTPException: + raise + except Exception as e: + await session.rollback() + logger.exception("Failed to update NewLLMConfig") + raise HTTPException( + status_code=500, detail=f"Failed to update configuration: {e!s}" + ) from e + + +@router.delete("/new-llm-configs/{config_id}", response_model=dict) +async def delete_new_llm_config( + config_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Delete a NewLLMConfig. + Requires LLM_CONFIGS_DELETE permission. + """ + try: + result = await session.execute( + select(NewLLMConfig).filter(NewLLMConfig.id == config_id) + ) + config = result.scalars().first() + + if not config: + raise HTTPException(status_code=404, detail="Configuration not found") + + # Verify user has permission + await check_permission( + session, + user, + config.search_space_id, + Permission.LLM_CONFIGS_DELETE.value, + "You don't have permission to delete LLM configurations in this search space", + ) + + await session.delete(config) + await session.commit() + + return {"message": "Configuration deleted successfully", "id": config_id} + + except HTTPException: + raise + except Exception as e: + await session.rollback() + logger.exception("Failed to delete NewLLMConfig") + raise HTTPException( + status_code=500, detail=f"Failed to delete configuration: {e!s}" + ) from e diff --git a/surfsense_backend/app/routes/search_spaces_routes.py b/surfsense_backend/app/routes/search_spaces_routes.py index d04cf11ce..bc52a52b1 100644 --- a/surfsense_backend/app/routes/search_spaces_routes.py +++ b/surfsense_backend/app/routes/search_spaces_routes.py @@ -1,13 +1,13 @@ import logging -from pathlib import Path -import yaml from fastapi import APIRouter, Depends, HTTPException from sqlalchemy import func from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.future import select +from app.config import config from app.db import ( + NewLLMConfig, Permission, SearchSpace, SearchSpaceMembership, @@ -17,6 +17,8 @@ from app.db import ( get_default_roles_config, ) from app.schemas import ( + LLMPreferencesRead, + LLMPreferencesUpdate, SearchSpaceCreate, SearchSpaceRead, SearchSpaceUpdate, @@ -184,37 +186,6 @@ async def read_search_spaces( ) from e -@router.get("/searchspaces/prompts/community") -async def get_community_prompts(): - """ - Get community-curated prompts for SearchSpace System Instructions. - This endpoint does not require authentication as it serves public prompts. - """ - try: - # Get the path to the prompts YAML file - prompts_file = ( - Path(__file__).parent.parent - / "prompts" - / "public_search_space_prompts.yaml" - ) - - if not prompts_file.exists(): - raise HTTPException( - status_code=404, detail="Community prompts file not found" - ) - - with open(prompts_file, encoding="utf-8") as f: - data = yaml.safe_load(f) - - return data.get("prompts", []) - except HTTPException: - raise - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Failed to load community prompts: {e!s}" - ) from e - - @router.get("/searchspaces/{search_space_id}", response_model=SearchSpaceRead) async def read_search_space( search_space_id: int, @@ -329,3 +300,184 @@ async def delete_search_space( raise HTTPException( status_code=500, detail=f"Failed to delete search space: {e!s}" ) from e + + +# ============================================================================= +# LLM Preferences Routes +# ============================================================================= + + +async def _get_llm_config_by_id( + session: AsyncSession, config_id: int | None +) -> dict | None: + """ + Get an LLM config by ID as a dictionary. Returns database config for positive IDs, + global config for negative IDs, or None if ID is None. + """ + if config_id is None: + return None + + if config_id < 0: + # Global config - find from YAML + global_configs = config.GLOBAL_LLM_CONFIGS + for cfg in global_configs: + if cfg.get("id") == config_id: + return { + "id": cfg.get("id"), + "name": cfg.get("name"), + "description": cfg.get("description"), + "provider": cfg.get("provider"), + "custom_provider": cfg.get("custom_provider"), + "model_name": cfg.get("model_name"), + "api_base": cfg.get("api_base"), + "litellm_params": cfg.get("litellm_params", {}), + "system_instructions": cfg.get("system_instructions", ""), + "use_default_system_instructions": cfg.get( + "use_default_system_instructions", True + ), + "citations_enabled": cfg.get("citations_enabled", True), + "is_global": True, + } + return None + else: + # Database config - convert to dict + result = await session.execute( + select(NewLLMConfig).filter(NewLLMConfig.id == config_id) + ) + db_config = result.scalars().first() + if db_config: + return { + "id": db_config.id, + "name": db_config.name, + "description": db_config.description, + "provider": db_config.provider.value if db_config.provider else None, + "custom_provider": db_config.custom_provider, + "model_name": db_config.model_name, + "api_key": db_config.api_key, + "api_base": db_config.api_base, + "litellm_params": db_config.litellm_params or {}, + "system_instructions": db_config.system_instructions or "", + "use_default_system_instructions": db_config.use_default_system_instructions, + "citations_enabled": db_config.citations_enabled, + "created_at": db_config.created_at.isoformat() + if db_config.created_at + else None, + "search_space_id": db_config.search_space_id, + } + return None + + +@router.get( + "/search-spaces/{search_space_id}/llm-preferences", + response_model=LLMPreferencesRead, +) +async def get_llm_preferences( + search_space_id: int, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Get LLM preferences (role assignments) for a search space. + Requires LLM_CONFIGS_READ permission. + """ + try: + # Check permission + await check_permission( + session, + user, + search_space_id, + Permission.LLM_CONFIGS_READ.value, + "You don't have permission to view LLM preferences", + ) + + result = await session.execute( + select(SearchSpace).filter(SearchSpace.id == search_space_id) + ) + search_space = result.scalars().first() + + if not search_space: + raise HTTPException(status_code=404, detail="Search space not found") + + # Get full config objects for each role + agent_llm = await _get_llm_config_by_id(session, search_space.agent_llm_id) + document_summary_llm = await _get_llm_config_by_id( + session, search_space.document_summary_llm_id + ) + + return LLMPreferencesRead( + agent_llm_id=search_space.agent_llm_id, + document_summary_llm_id=search_space.document_summary_llm_id, + agent_llm=agent_llm, + document_summary_llm=document_summary_llm, + ) + + except HTTPException: + raise + except Exception as e: + logger.exception("Failed to get LLM preferences") + raise HTTPException( + status_code=500, detail=f"Failed to get LLM preferences: {e!s}" + ) from e + + +@router.put( + "/search-spaces/{search_space_id}/llm-preferences", + response_model=LLMPreferencesRead, +) +async def update_llm_preferences( + search_space_id: int, + preferences: LLMPreferencesUpdate, + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """ + Update LLM preferences (role assignments) for a search space. + Requires LLM_CONFIGS_UPDATE permission. + """ + try: + # Check permission + await check_permission( + session, + user, + search_space_id, + Permission.LLM_CONFIGS_UPDATE.value, + "You don't have permission to update LLM preferences", + ) + + result = await session.execute( + select(SearchSpace).filter(SearchSpace.id == search_space_id) + ) + search_space = result.scalars().first() + + if not search_space: + raise HTTPException(status_code=404, detail="Search space not found") + + # Update preferences + update_data = preferences.model_dump(exclude_unset=True) + for key, value in update_data.items(): + setattr(search_space, key, value) + + await session.commit() + await session.refresh(search_space) + + # Get full config objects for response + agent_llm = await _get_llm_config_by_id(session, search_space.agent_llm_id) + document_summary_llm = await _get_llm_config_by_id( + session, search_space.document_summary_llm_id + ) + + return LLMPreferencesRead( + agent_llm_id=search_space.agent_llm_id, + document_summary_llm_id=search_space.document_summary_llm_id, + agent_llm=agent_llm, + document_summary_llm=document_summary_llm, + ) + + except HTTPException: + raise + except Exception as e: + await session.rollback() + logger.exception("Failed to update LLM preferences") + raise HTTPException( + status_code=500, detail=f"Failed to update LLM preferences: {e!s}" + ) from e diff --git a/surfsense_backend/app/schemas/__init__.py b/surfsense_backend/app/schemas/__init__.py index 9ec639e7b..f5ae65e9d 100644 --- a/surfsense_backend/app/schemas/__init__.py +++ b/surfsense_backend/app/schemas/__init__.py @@ -10,7 +10,6 @@ from .documents import ( ExtensionDocumentMetadata, PaginatedResponse, ) -from .llm_config import LLMConfigBase, LLMConfigCreate, LLMConfigRead, LLMConfigUpdate from .logs import LogBase, LogCreate, LogFilter, LogRead, LogUpdate from .new_chat import ( ChatMessage, @@ -26,6 +25,16 @@ from .new_chat import ( ThreadListItem, ThreadListResponse, ) +from .new_llm_config import ( + DefaultSystemInstructionsResponse, + GlobalNewLLMConfigRead, + LLMPreferencesRead, + LLMPreferencesUpdate, + NewLLMConfigCreate, + NewLLMConfigPublic, + NewLLMConfigRead, + NewLLMConfigUpdate, +) from .podcasts import PodcastBase, PodcastCreate, PodcastRead, PodcastUpdate from .rbac_schemas import ( InviteAcceptRequest, @@ -67,6 +76,7 @@ __all__ = [ "ChunkCreate", "ChunkRead", "ChunkUpdate", + "DefaultSystemInstructionsResponse", # Document schemas "DocumentBase", "DocumentRead", @@ -75,6 +85,7 @@ __all__ = [ "DocumentsCreate", "ExtensionDocumentContent", "ExtensionDocumentMetadata", + "GlobalNewLLMConfigRead", # Base schemas "IDModel", # RBAC schemas @@ -84,11 +95,9 @@ __all__ = [ "InviteInfoResponse", "InviteRead", "InviteUpdate", - # LLM Config schemas - "LLMConfigBase", - "LLMConfigCreate", - "LLMConfigRead", - "LLMConfigUpdate", + # LLM Preferences schemas + "LLMPreferencesRead", + "LLMPreferencesUpdate", # Log schemas "LogBase", "LogCreate", @@ -106,6 +115,11 @@ __all__ = [ "NewChatThreadRead", "NewChatThreadUpdate", "NewChatThreadWithMessages", + # NewLLMConfig schemas + "NewLLMConfigCreate", + "NewLLMConfigPublic", + "NewLLMConfigRead", + "NewLLMConfigUpdate", "PaginatedResponse", "PermissionInfo", "PermissionsListResponse", diff --git a/surfsense_backend/app/schemas/llm_config.py b/surfsense_backend/app/schemas/llm_config.py deleted file mode 100644 index 27f3736b5..000000000 --- a/surfsense_backend/app/schemas/llm_config.py +++ /dev/null @@ -1,72 +0,0 @@ -from datetime import datetime -from typing import Any - -from pydantic import BaseModel, ConfigDict, Field - -from app.db import LiteLLMProvider - -from .base import IDModel, TimestampModel - - -class LLMConfigBase(BaseModel): - name: str = Field( - ..., max_length=100, description="User-friendly name for the LLM configuration" - ) - provider: LiteLLMProvider = Field(..., description="LiteLLM provider type") - custom_provider: str | None = Field( - None, max_length=100, description="Custom provider name when provider is CUSTOM" - ) - model_name: str = Field( - ..., max_length=100, description="Model name without provider prefix" - ) - api_key: str = Field(..., description="API key for the provider") - api_base: str | None = Field( - None, max_length=500, description="Optional API base URL" - ) - litellm_params: dict[str, Any] | None = Field( - default=None, description="Additional LiteLLM parameters" - ) - language: str | None = Field( - default="English", max_length=50, description="Language for the LLM" - ) - - -class LLMConfigCreate(LLMConfigBase): - search_space_id: int = Field( - ..., description="Search space ID to associate the LLM config with" - ) - - -class LLMConfigUpdate(BaseModel): - name: str | None = Field( - None, max_length=100, description="User-friendly name for the LLM configuration" - ) - provider: LiteLLMProvider | None = Field(None, description="LiteLLM provider type") - custom_provider: str | None = Field( - None, max_length=100, description="Custom provider name when provider is CUSTOM" - ) - model_name: str | None = Field( - None, max_length=100, description="Model name without provider prefix" - ) - api_key: str | None = Field(None, description="API key for the provider") - api_base: str | None = Field( - None, max_length=500, description="Optional API base URL" - ) - language: str | None = Field( - None, max_length=50, description="Language for the LLM" - ) - litellm_params: dict[str, Any] | None = Field( - None, description="Additional LiteLLM parameters" - ) - - -class LLMConfigRead(LLMConfigBase, IDModel, TimestampModel): - id: int - created_at: datetime | None = Field( - None, description="Creation timestamp (None for global configs)" - ) - search_space_id: int | None = Field( - None, description="Search space ID (None for global configs)" - ) - - model_config = ConfigDict(from_attributes=True) diff --git a/surfsense_backend/app/schemas/new_llm_config.py b/surfsense_backend/app/schemas/new_llm_config.py new file mode 100644 index 000000000..67979f176 --- /dev/null +++ b/surfsense_backend/app/schemas/new_llm_config.py @@ -0,0 +1,191 @@ +""" +Pydantic schemas for the NewLLMConfig API. + +NewLLMConfig combines LLM model settings with prompt configuration: +- LLM provider, model, API key, etc. +- Configurable system instructions +- Citation toggle +""" + +from datetime import datetime +from typing import Any + +from pydantic import BaseModel, ConfigDict, Field + +from app.db import LiteLLMProvider + + +class NewLLMConfigBase(BaseModel): + """Base schema with common fields for NewLLMConfig.""" + + name: str = Field( + ..., max_length=100, description="User-friendly name for the configuration" + ) + description: str | None = Field( + None, max_length=500, description="Optional description" + ) + + # LLM Model Configuration + provider: LiteLLMProvider = Field(..., description="LiteLLM provider type") + custom_provider: str | None = Field( + None, max_length=100, description="Custom provider name when provider is CUSTOM" + ) + model_name: str = Field( + ..., max_length=100, description="Model name without provider prefix" + ) + api_key: str = Field(..., description="API key for the provider") + api_base: str | None = Field( + None, max_length=500, description="Optional API base URL" + ) + litellm_params: dict[str, Any] | None = Field( + default=None, description="Additional LiteLLM parameters" + ) + + # Prompt Configuration + system_instructions: str = Field( + default="", + description="Custom system instructions. Empty string uses default SURFSENSE_SYSTEM_INSTRUCTIONS.", + ) + use_default_system_instructions: bool = Field( + default=True, + description="Whether to use default instructions when system_instructions is empty", + ) + citations_enabled: bool = Field( + default=True, + description="Whether to include citation instructions in the system prompt", + ) + + +class NewLLMConfigCreate(NewLLMConfigBase): + """Schema for creating a new NewLLMConfig.""" + + search_space_id: int = Field( + ..., description="Search space ID to associate the config with" + ) + + +class NewLLMConfigUpdate(BaseModel): + """Schema for updating an existing NewLLMConfig. All fields are optional.""" + + name: str | None = Field(None, max_length=100) + description: str | None = Field(None, max_length=500) + + # LLM Model Configuration + provider: LiteLLMProvider | None = None + custom_provider: str | None = Field(None, max_length=100) + model_name: str | None = Field(None, max_length=100) + api_key: str | None = None + api_base: str | None = Field(None, max_length=500) + litellm_params: dict[str, Any] | None = None + + # Prompt Configuration + system_instructions: str | None = None + use_default_system_instructions: bool | None = None + citations_enabled: bool | None = None + + +class NewLLMConfigRead(NewLLMConfigBase): + """Schema for reading a NewLLMConfig (includes id and timestamps).""" + + id: int + created_at: datetime + search_space_id: int + + model_config = ConfigDict(from_attributes=True) + + +class NewLLMConfigPublic(BaseModel): + """ + Public schema for NewLLMConfig that hides the API key. + Used when returning configs in list views or to users who shouldn't see keys. + """ + + id: int + name: str + description: str | None = None + + # LLM Model Configuration (no api_key) + provider: LiteLLMProvider + custom_provider: str | None = None + model_name: str + api_base: str | None = None + litellm_params: dict[str, Any] | None = None + + # Prompt Configuration + system_instructions: str + use_default_system_instructions: bool + citations_enabled: bool + + created_at: datetime + search_space_id: int + + model_config = ConfigDict(from_attributes=True) + + +class DefaultSystemInstructionsResponse(BaseModel): + """Response schema for getting default system instructions.""" + + default_system_instructions: str = Field( + ..., description="The default SURFSENSE_SYSTEM_INSTRUCTIONS template" + ) + + +class GlobalNewLLMConfigRead(BaseModel): + """ + Schema for reading global LLM configs from YAML. + Global configs have negative IDs and no search_space_id. + API key is hidden for security. + """ + + id: int = Field(..., description="Negative ID for global configs") + name: str + description: str | None = None + + # LLM Model Configuration (no api_key) + provider: str # String because YAML doesn't enforce enum + custom_provider: str | None = None + model_name: str + api_base: str | None = None + litellm_params: dict[str, Any] | None = None + + # Prompt Configuration + system_instructions: str = "" + use_default_system_instructions: bool = True + citations_enabled: bool = True + + is_global: bool = True # Always true for global configs + + +# ============================================================================= +# LLM Preferences Schemas (for role assignments) +# ============================================================================= + + +class LLMPreferencesRead(BaseModel): + """Schema for reading LLM preferences (role assignments) for a search space.""" + + agent_llm_id: int | None = Field( + None, description="ID of the LLM config to use for agent/chat tasks" + ) + document_summary_llm_id: int | None = Field( + None, description="ID of the LLM config to use for document summarization" + ) + agent_llm: dict[str, Any] | None = Field( + None, description="Full config for agent LLM" + ) + document_summary_llm: dict[str, Any] | None = Field( + None, description="Full config for document summary LLM" + ) + + model_config = ConfigDict(from_attributes=True) + + +class LLMPreferencesUpdate(BaseModel): + """Schema for updating LLM preferences.""" + + agent_llm_id: int | None = Field( + None, description="ID of the LLM config to use for agent/chat tasks" + ) + document_summary_llm_id: int | None = Field( + None, description="ID of the LLM config to use for document summarization" + ) diff --git a/surfsense_backend/app/services/llm_service.py b/surfsense_backend/app/services/llm_service.py index c3270b59e..68dd167b5 100644 --- a/surfsense_backend/app/services/llm_service.py +++ b/surfsense_backend/app/services/llm_service.py @@ -7,7 +7,7 @@ from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.future import select from app.config import config -from app.db import LLMConfig, SearchSpace +from app.db import NewLLMConfig, SearchSpace # Configure litellm to automatically drop unsupported parameters litellm.drop_params = True @@ -16,9 +16,8 @@ logger = logging.getLogger(__name__) class LLMRole: - LONG_CONTEXT = "long_context" - FAST = "fast" - STRATEGIC = "strategic" + AGENT = "agent" # For agent/chat operations + DOCUMENT_SUMMARY = "document_summary" # For document summarization def get_global_llm_config(llm_config_id: int) -> dict | None: @@ -155,7 +154,7 @@ async def get_search_space_llm_instance( Args: session: Database session search_space_id: Search Space ID - role: LLM role ('long_context', 'fast', or 'strategic') + role: LLM role ('agent' or 'document_summary') Returns: ChatLiteLLM instance or None if not found @@ -173,12 +172,10 @@ async def get_search_space_llm_instance( # Get the appropriate LLM config ID based on role llm_config_id = None - if role == LLMRole.LONG_CONTEXT: - llm_config_id = search_space.long_context_llm_id - elif role == LLMRole.FAST: - llm_config_id = search_space.fast_llm_id - elif role == LLMRole.STRATEGIC: - llm_config_id = search_space.strategic_llm_id + if role == LLMRole.AGENT: + llm_config_id = search_space.agent_llm_id + elif role == LLMRole.DOCUMENT_SUMMARY: + llm_config_id = search_space.document_summary_llm_id else: logger.error(f"Invalid LLM role: {role}") return None @@ -250,11 +247,11 @@ async def get_search_space_llm_instance( return ChatLiteLLM(**litellm_kwargs) - # Get the LLM configuration from database (user-specific config) + # Get the LLM configuration from database (NewLLMConfig) result = await session.execute( - select(LLMConfig).where( - LLMConfig.id == llm_config_id, - LLMConfig.search_space_id == search_space_id, + select(NewLLMConfig).where( + NewLLMConfig.id == llm_config_id, + NewLLMConfig.search_space_id == search_space_id, ) ) llm_config = result.scalars().first() @@ -265,11 +262,11 @@ async def get_search_space_llm_instance( ) return None - # Build the model string for litellm / 构建 LiteLLM 的模型字符串 + # Build the model string for litellm if llm_config.custom_provider: model_string = f"{llm_config.custom_provider}/{llm_config.model_name}" else: - # Map provider enum to litellm format / 将提供商枚举映射为 LiteLLM 格式 + # Map provider enum to litellm format provider_map = { "OPENAI": "openai", "ANTHROPIC": "anthropic", @@ -283,7 +280,7 @@ async def get_search_space_llm_instance( "COMETAPI": "cometapi", "XAI": "xai", "BEDROCK": "bedrock", - "AWS_BEDROCK": "bedrock", # Legacy support (backward compatibility) + "AWS_BEDROCK": "bedrock", "VERTEX_AI": "vertex_ai", "TOGETHER_AI": "together_ai", "FIREWORKS_AI": "fireworks_ai", @@ -296,7 +293,6 @@ async def get_search_space_llm_instance( "AI21": "ai21", "CLOUDFLARE": "cloudflare", "DATABRICKS": "databricks", - # Chinese LLM providers "DEEPSEEK": "openai", "ALIBABA_QWEN": "openai", "MOONSHOT": "openai", @@ -330,28 +326,19 @@ async def get_search_space_llm_instance( return None -async def get_long_context_llm( +async def get_agent_llm( session: AsyncSession, search_space_id: int ) -> ChatLiteLLM | None: - """Get the search space's long context LLM instance.""" + """Get the search space's agent LLM instance for chat operations.""" + return await get_search_space_llm_instance(session, search_space_id, LLMRole.AGENT) + + +async def get_document_summary_llm( + session: AsyncSession, search_space_id: int +) -> ChatLiteLLM | None: + """Get the search space's document summary LLM instance.""" return await get_search_space_llm_instance( - session, search_space_id, LLMRole.LONG_CONTEXT - ) - - -async def get_fast_llm( - session: AsyncSession, search_space_id: int -) -> ChatLiteLLM | None: - """Get the search space's fast LLM instance.""" - return await get_search_space_llm_instance(session, search_space_id, LLMRole.FAST) - - -async def get_strategic_llm( - session: AsyncSession, search_space_id: int -) -> ChatLiteLLM | None: - """Get the search space's strategic LLM instance.""" - return await get_search_space_llm_instance( - session, search_space_id, LLMRole.STRATEGIC + session, search_space_id, LLMRole.DOCUMENT_SUMMARY ) @@ -366,22 +353,54 @@ async def get_user_llm_instance( return await get_search_space_llm_instance(session, search_space_id, role) +# Legacy aliases for backward compatibility +async def get_long_context_llm( + session: AsyncSession, search_space_id: int +) -> ChatLiteLLM | None: + """Deprecated: Use get_document_summary_llm instead.""" + return await get_document_summary_llm(session, search_space_id) + + +async def get_fast_llm( + session: AsyncSession, search_space_id: int +) -> ChatLiteLLM | None: + """Deprecated: Use get_agent_llm instead.""" + return await get_agent_llm(session, search_space_id) + + +async def get_strategic_llm( + session: AsyncSession, search_space_id: int +) -> ChatLiteLLM | None: + """Deprecated: Use get_document_summary_llm instead.""" + return await get_document_summary_llm(session, search_space_id) + + +# User-based legacy aliases (LLM preferences are now per-search-space, not per-user) async def get_user_long_context_llm( session: AsyncSession, user_id: str, search_space_id: int ) -> ChatLiteLLM | None: - """Deprecated: Use get_long_context_llm instead.""" - return await get_long_context_llm(session, search_space_id) + """ + Deprecated: Use get_document_summary_llm instead. + The user_id parameter is ignored as LLM preferences are now per-search-space. + """ + return await get_document_summary_llm(session, search_space_id) async def get_user_fast_llm( session: AsyncSession, user_id: str, search_space_id: int ) -> ChatLiteLLM | None: - """Deprecated: Use get_fast_llm instead.""" - return await get_fast_llm(session, search_space_id) + """ + Deprecated: Use get_agent_llm instead. + The user_id parameter is ignored as LLM preferences are now per-search-space. + """ + return await get_agent_llm(session, search_space_id) async def get_user_strategic_llm( session: AsyncSession, user_id: str, search_space_id: int ) -> ChatLiteLLM | None: - """Deprecated: Use get_strategic_llm instead.""" - return await get_strategic_llm(session, search_space_id) + """ + Deprecated: Use get_document_summary_llm instead. + The user_id parameter is ignored as LLM preferences are now per-search-space. + """ + return await get_document_summary_llm(session, search_space_id) diff --git a/surfsense_backend/app/services/query_service.py b/surfsense_backend/app/services/query_service.py index 84485c37d..863ff58a4 100644 --- a/surfsense_backend/app/services/query_service.py +++ b/surfsense_backend/app/services/query_service.py @@ -4,7 +4,7 @@ from typing import Any from langchain_core.messages import AIMessage, HumanMessage, SystemMessage from sqlalchemy.ext.asyncio import AsyncSession -from app.services.llm_service import get_strategic_llm +from app.services.llm_service import get_document_summary_llm class QueryService: @@ -20,7 +20,7 @@ class QueryService: chat_history_str: str | None = None, ) -> str: """ - Reformulate the user query using the search space's strategic LLM to make it more + Reformulate the user query using the search space's document summary LLM to make it more effective for information retrieval and research purposes. Args: @@ -36,11 +36,11 @@ class QueryService: return user_query try: - # Get the search space's strategic LLM instance - llm = await get_strategic_llm(session, search_space_id) + # Get the search space's document summary LLM instance + llm = await get_document_summary_llm(session, search_space_id) if not llm: print( - f"Warning: No strategic LLM configured for search space {search_space_id}. Using original query." + f"Warning: No document summary LLM configured for search space {search_space_id}. Using original query." ) return user_query diff --git a/surfsense_backend/app/services/streaming_service.py b/surfsense_backend/app/services/streaming_service.py deleted file mode 100644 index 98c0d3ac5..000000000 --- a/surfsense_backend/app/services/streaming_service.py +++ /dev/null @@ -1,191 +0,0 @@ -import json -from typing import Any - - -class StreamingService: - def __init__(self): - self.terminal_idx = 1 - self.message_annotations = [ - {"type": "TERMINAL_INFO", "content": []}, - {"type": "SOURCES", "content": []}, - {"type": "ANSWER", "content": []}, - {"type": "FURTHER_QUESTIONS", "content": []}, - ] - - # DEPRECATED: This sends the full annotation array every time (inefficient) - def _format_annotations(self) -> str: - """ - Format the annotations as a string - - DEPRECATED: This method sends the full annotation state every time. - Use the delta formatters instead for optimal streaming. - - Returns: - str: The formatted annotations string - """ - return f"8:{json.dumps(self.message_annotations)}\n" - - def format_terminal_info_delta(self, text: str, message_type: str = "info") -> str: - """ - Format a single terminal info message as a delta annotation - - Args: - text: The terminal message text - message_type: The message type (info, error, success, etc.) - - Returns: - str: The formatted annotation delta string - """ - message = {"id": self.terminal_idx, "text": text, "type": message_type} - self.terminal_idx += 1 - - # Update internal state for reference - self.message_annotations[0]["content"].append(message) - - # Return only the delta annotation - annotation = {"type": "TERMINAL_INFO", "data": message} - return f"8:[{json.dumps(annotation)}]\n" - - def format_sources_delta(self, sources: list[dict[str, Any]]) -> str: - """ - Format sources as a delta annotation - - Args: - sources: List of source objects - - Returns: - str: The formatted annotation delta string - """ - # Update internal state - self.message_annotations[1]["content"] = sources - - # Return only the delta annotation - nodes = [] - - for group in sources: - for source in group.get("sources", []): - node = { - "id": str(source.get("id", "")), - "text": source.get("description", "").strip(), - "url": source.get("url", ""), - "metadata": { - "title": source.get("title", ""), - "source_type": group.get("type", ""), - "group_name": group.get("name", ""), - }, - } - nodes.append(node) - - annotation = {"type": "sources", "data": {"nodes": nodes}} - return f"8:[{json.dumps(annotation)}]\n" - - def format_answer_delta(self, answer_chunk: str) -> str: - """ - Format a single answer chunk as a delta annotation - - Args: - answer_chunk: The new answer chunk to add - - Returns: - str: The formatted annotation delta string - """ - # Update internal state by appending the chunk - if isinstance(self.message_annotations[2]["content"], list): - self.message_annotations[2]["content"].append(answer_chunk) - else: - self.message_annotations[2]["content"] = [answer_chunk] - - # Return only the delta annotation with the new chunk - annotation = {"type": "ANSWER", "content": [answer_chunk]} - return f"8:[{json.dumps(annotation)}]\n" - - def format_answer_annotation(self, answer_lines: list[str]) -> str: - """ - Format the complete answer as a replacement annotation - - Args: - answer_lines: Complete list of answer lines - - Returns: - str: The formatted annotation string - """ - # Update internal state - self.message_annotations[2]["content"] = answer_lines - - # Return the full answer annotation - annotation = {"type": "ANSWER", "content": answer_lines} - return f"8:[{json.dumps(annotation)}]\n" - - def format_further_questions_delta( - self, further_questions: list[dict[str, Any]] - ) -> str: - """ - Format further questions as a delta annotation - - Args: - further_questions: List of further question objects - - Returns: - str: The formatted annotation delta string - """ - # Update internal state - self.message_annotations[3]["content"] = further_questions - - # Return only the delta annotation - annotation = { - "type": "FURTHER_QUESTIONS", - "data": [ - question.get("question", "") - for question in further_questions - if question.get("question", "") != "" - ], - } - return f"8:[{json.dumps(annotation)}]\n" - - def format_text_chunk(self, text: str) -> str: - """ - Format a text chunk using the text stream part - - Args: - text: The text chunk to stream - - Returns: - str: The formatted text part string - """ - return f"0:{json.dumps(text)}\n" - - def format_error(self, error_message: str) -> str: - """ - Format an error using the error stream part - - Args: - error_message: The error message - - Returns: - str: The formatted error part string - """ - return f"3:{json.dumps(error_message)}\n" - - def format_completion( - self, prompt_tokens: int = 156, completion_tokens: int = 204 - ) -> str: - """ - Format a completion message - - Args: - prompt_tokens: Number of prompt tokens - completion_tokens: Number of completion tokens - - Returns: - str: The formatted completion string - """ - total_tokens = prompt_tokens + completion_tokens - completion_data = { - "finishReason": "stop", - "usage": { - "promptTokens": prompt_tokens, - "completionTokens": completion_tokens, - "totalTokens": total_tokens, - }, - } - return f"d:{json.dumps(completion_data)}\n" diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index de318a7d5..7a3d4b20d 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -3,20 +3,28 @@ Streaming task for the new SurfSense deep agent chat. This module streams responses from the deep agent using the Vercel AI SDK Data Stream Protocol (SSE format). + +Supports loading LLM configurations from: +- YAML files (negative IDs for global configs) +- NewLLMConfig database table (positive IDs for user-created configs with prompt settings) """ import json from collections.abc import AsyncGenerator + from langchain_core.messages import HumanMessage from sqlalchemy.ext.asyncio import AsyncSession from app.agents.new_chat.chat_deepagent import create_surfsense_deep_agent from app.agents.new_chat.checkpointer import get_checkpointer from app.agents.new_chat.llm_config import ( + AgentConfig, + create_chat_litellm_from_agent_config, create_chat_litellm_from_config, + load_agent_config, load_llm_config_from_yaml, ) -from app.schemas.new_chat import ChatAttachment, ChatMessage +from app.schemas.new_chat import ChatAttachment from app.services.connector_service import ConnectorService from app.services.new_streaming_service import VercelStreamingService @@ -44,7 +52,6 @@ async def stream_new_chat( chat_id: int, session: AsyncSession, llm_config_id: int = -1, - messages: list[ChatMessage] | None = None, attachments: list[ChatAttachment] | None = None, ) -> AsyncGenerator[str, None]: """ @@ -71,17 +78,40 @@ async def stream_new_chat( current_text_id: str | None = None try: - # Load LLM config - llm_config = load_llm_config_from_yaml(llm_config_id=llm_config_id) - if not llm_config: - yield streaming_service.format_error( - f"Failed to load LLM config with id {llm_config_id}" - ) - yield streaming_service.format_done() - return + # Load LLM config - supports both YAML (negative IDs) and database (positive IDs) + agent_config: AgentConfig | None = None + + if llm_config_id >= 0: + # Positive ID: Load from NewLLMConfig database table + agent_config = await load_agent_config( + session=session, + config_id=llm_config_id, + search_space_id=search_space_id, + ) + if not agent_config: + yield streaming_service.format_error( + f"Failed to load NewLLMConfig with id {llm_config_id}" + ) + yield streaming_service.format_done() + return + + # Create ChatLiteLLM from AgentConfig + llm = create_chat_litellm_from_agent_config(agent_config) + else: + # Negative ID: Load from YAML (global configs) + llm_config = load_llm_config_from_yaml(llm_config_id=llm_config_id) + if not llm_config: + yield streaming_service.format_error( + f"Failed to load LLM config with id {llm_config_id}" + ) + yield streaming_service.format_done() + return + + # Create ChatLiteLLM from YAML config dict + llm = create_chat_litellm_from_config(llm_config) + # Create AgentConfig from YAML for consistency (uses defaults for prompt settings) + agent_config = AgentConfig.from_yaml_config(llm_config) - # Create ChatLiteLLM instance - llm = create_chat_litellm_from_config(llm_config) if not llm: yield streaming_service.format_error("Failed to create LLM instance") yield streaming_service.format_done() @@ -93,13 +123,14 @@ async def stream_new_chat( # Get the PostgreSQL checkpointer for persistent conversation memory checkpointer = await get_checkpointer() - # Create the deep agent with checkpointer with podcast capability + # Create the deep agent with checkpointer and configurable prompts agent = create_surfsense_deep_agent( llm=llm, search_space_id=search_space_id, db_session=session, connector_service=connector_service, checkpointer=checkpointer, + agent_config=agent_config, # Pass prompt configuration ) # Build input with message history from frontend @@ -180,7 +211,9 @@ async def stream_new_chat( analyze_step_id = next_thinking_step_id() last_active_step_id = analyze_step_id last_active_step_title = "Understanding your request" - last_active_step_items = [f"Processing: {user_query[:80]}{'...' if len(user_query) > 80 else ''}"] + last_active_step_items = [ + f"Processing: {user_query[:80]}{'...' if len(user_query) > 80 else ''}" + ] yield streaming_service.format_thinking_step( step_id=analyze_step_id, title="Understanding your request", @@ -255,7 +288,9 @@ async def stream_new_chat( else str(tool_input) ) last_active_step_title = "Searching knowledge base" - last_active_step_items = [f"Query: {query[:100]}{'...' if len(query) > 100 else ''}"] + last_active_step_items = [ + f"Query: {query[:100]}{'...' if len(query) > 100 else ''}" + ] yield streaming_service.format_thinking_step( step_id=tool_step_id, title="Searching knowledge base", @@ -269,7 +304,9 @@ async def stream_new_chat( else str(tool_input) ) last_active_step_title = "Fetching link preview" - last_active_step_items = [f"URL: {url[:80]}{'...' if len(url) > 80 else ''}"] + last_active_step_items = [ + f"URL: {url[:80]}{'...' if len(url) > 80 else ''}" + ] yield streaming_service.format_thinking_step( step_id=tool_step_id, title="Fetching link preview", @@ -304,7 +341,9 @@ async def stream_new_chat( else str(tool_input) ) last_active_step_title = "Scraping webpage" - last_active_step_items = [f"URL: {url[:80]}{'...' if len(url) > 80 else ''}"] + last_active_step_items = [ + f"URL: {url[:80]}{'...' if len(url) > 80 else ''}" + ] yield streaming_service.format_thinking_step( step_id=tool_step_id, title="Scraping webpage", @@ -441,7 +480,9 @@ async def stream_new_chat( tool_call_id = f"call_{run_id[:32]}" if run_id else "call_unknown" # Get the original tool step ID to update it (not create a new one) - original_step_id = tool_step_ids.get(run_id, f"thinking-unknown-{run_id[:8]}") + original_step_id = tool_step_ids.get( + run_id, f"thinking-unknown-{run_id[:8]}" + ) # Mark the tool thinking step as completed using the SAME step ID # Also add to completed set so we don't try to complete it again @@ -452,7 +493,9 @@ async def stream_new_chat( if isinstance(tool_output, dict): result_len = tool_output.get("result_length", 0) if result_len > 0: - result_info = f"Found relevant information ({result_len} chars)" + result_info = ( + f"Found relevant information ({result_len} chars)" + ) # Include original query in completed items completed_items = [*last_active_step_items, result_info] yield streaming_service.format_thinking_step( @@ -541,7 +584,7 @@ async def stream_new_chat( if isinstance(tool_output, dict) else "Podcast" ) - + if podcast_status == "processing": completed_items = [ f"Title: {podcast_title}", @@ -566,7 +609,7 @@ async def stream_new_chat( ] else: completed_items = last_active_step_items - + yield streaming_service.format_thinking_step( step_id=original_step_id, title="Generating podcast", @@ -652,7 +695,9 @@ async def stream_new_chat( ) # Send terminal message if isinstance(tool_output, dict): - title = tool_output.get("title") or tool_output.get("alt", "Image") + title = tool_output.get("title") or tool_output.get( + "alt", "Image" + ) yield streaming_service.format_terminal_info( f"Image displayed: {title[:40]}{'...' if len(title) > 40 else ''}", "success", diff --git a/surfsense_backend/app/tasks/podcast_tasks.py b/surfsense_backend/app/tasks/podcast_tasks.py deleted file mode 100644 index b3b01eb93..000000000 --- a/surfsense_backend/app/tasks/podcast_tasks.py +++ /dev/null @@ -1,23 +0,0 @@ -""" -Legacy podcast task for old chat system. - -NOTE: The old Chat model has been removed. This module is kept for backwards -compatibility but the generate_chat_podcast function will raise an error -if called. Use generate_content_podcast_task in celery_tasks/podcast_tasks.py -for new-chat podcast generation instead. -""" - -from app.db import Podcast # noqa: F401 - imported for backwards compatibility - - -async def generate_chat_podcast(*args, **kwargs): - """ - Legacy function for generating podcasts from old chat system. - - This function is deprecated as the old Chat model has been removed. - Use generate_content_podcast_task for new-chat podcast generation. - """ - raise NotImplementedError( - "generate_chat_podcast is deprecated. The old Chat model has been removed. " - "Use generate_content_podcast_task for podcast generation from new-chat." - ) diff --git a/surfsense_web/app/(home)/page.tsx b/surfsense_web/app/(home)/page.tsx index 8f85774ac..e0478fce3 100644 --- a/surfsense_web/app/(home)/page.tsx +++ b/surfsense_web/app/(home)/page.tsx @@ -3,10 +3,8 @@ import { CTAHomepage } from "@/components/homepage/cta"; import { FeaturesBentoGrid } from "@/components/homepage/features-bento-grid"; import { FeaturesCards } from "@/components/homepage/features-card"; -import { Footer } from "@/components/homepage/footer"; import { HeroSection } from "@/components/homepage/hero-section"; import ExternalIntegrations from "@/components/homepage/integrations"; -import { Navbar } from "@/components/homepage/navbar"; export default function HomePage() { return ( diff --git a/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx b/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx index 0e0f32d2b..bfe8599f6 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/client-layout.tsx @@ -5,9 +5,14 @@ import { Loader2 } from "lucide-react"; import { useParams, usePathname, useRouter } from "next/navigation"; import { useTranslations } from "next-intl"; import type React from "react"; -import { useCallback, useEffect, useMemo, useState } from "react"; -import { llmPreferencesAtom } from "@/atoms/llm-config/llm-config-query.atoms"; +import { useCallback, useEffect, useMemo, useRef, useState } from "react"; +import { toast } from "sonner"; import { myAccessAtom } from "@/atoms/members/members-query.atoms"; +import { updateLLMPreferencesMutationAtom } from "@/atoms/new-llm-config/new-llm-config-mutation.atoms"; +import { + globalNewLLMConfigsAtom, + llmPreferencesAtom, +} from "@/atoms/new-llm-config/new-llm-config-query.atoms"; import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; import { DashboardBreadcrumb } from "@/components/dashboard-breadcrumb"; import { LanguageSwitcher } from "@/components/LanguageSwitcher"; @@ -33,18 +38,24 @@ export function DashboardClientLayout({ const { search_space_id } = useParams(); const setActiveSearchSpaceIdState = useSetAtom(activeSearchSpaceIdAtom); - const { data: preferences = {}, isFetching: loading, error } = useAtomValue(llmPreferencesAtom); + const { + data: preferences = {}, + isFetching: loading, + error, + refetch: refetchPreferences, + } = useAtomValue(llmPreferencesAtom); + const { data: globalConfigs = [], isFetching: globalConfigsLoading } = + useAtomValue(globalNewLLMConfigsAtom); + const { mutateAsync: updatePreferences } = useAtomValue(updateLLMPreferencesMutationAtom); const isOnboardingComplete = useCallback(() => { - return !!( - preferences.long_context_llm_id && - preferences.fast_llm_id && - preferences.strategic_llm_id - ); + return !!(preferences.agent_llm_id && preferences.document_summary_llm_id); }, [preferences]); const { data: access = null, isLoading: accessLoading } = useAtomValue(myAccessAtom); const [hasCheckedOnboarding, setHasCheckedOnboarding] = useState(false); + const [isAutoConfiguring, setIsAutoConfiguring] = useState(false); + const hasAttemptedAutoConfig = useRef(false); // Skip onboarding check if we're already on the onboarding page const isOnboardingPage = pathname?.includes("/onboard"); @@ -89,27 +100,82 @@ export function DashboardClientLayout({ return; } - // Wait for both preferences and access data to load - if (!loading && !accessLoading && !hasCheckedOnboarding) { + // Wait for all data to load + if ( + !loading && + !accessLoading && + !globalConfigsLoading && + !hasCheckedOnboarding && + !isAutoConfiguring + ) { const onboardingComplete = isOnboardingComplete(); - // Only redirect to onboarding if user is the owner and onboarding is not complete - // Invited members (non-owners) should skip onboarding and use existing config - if (!onboardingComplete && isOwner) { - router.push(`/dashboard/${searchSpaceId}/onboard`); + // If onboarding is complete, nothing to do + if (onboardingComplete) { + setHasCheckedOnboarding(true); + return; } + // Only handle onboarding for owners + if (!isOwner) { + setHasCheckedOnboarding(true); + return; + } + + // If global configs available, auto-configure without going to onboard page + if (globalConfigs.length > 0 && !hasAttemptedAutoConfig.current) { + hasAttemptedAutoConfig.current = true; + setIsAutoConfiguring(true); + + const autoConfigureWithGlobal = async () => { + try { + const firstGlobalConfig = globalConfigs[0]; + await updatePreferences({ + search_space_id: Number(searchSpaceId), + data: { + agent_llm_id: firstGlobalConfig.id, + document_summary_llm_id: firstGlobalConfig.id, + }, + }); + + await refetchPreferences(); + + toast.success("AI configured automatically!", { + description: `Using ${firstGlobalConfig.name}. Customize in Settings.`, + }); + + setHasCheckedOnboarding(true); + } catch (error) { + console.error("Auto-configuration failed:", error); + // Fall back to onboard page + router.push(`/dashboard/${searchSpaceId}/onboard`); + } finally { + setIsAutoConfiguring(false); + } + }; + + autoConfigureWithGlobal(); + return; + } + + // No global configs - redirect to onboard page + router.push(`/dashboard/${searchSpaceId}/onboard`); setHasCheckedOnboarding(true); } }, [ loading, accessLoading, + globalConfigsLoading, isOnboardingComplete, isOnboardingPage, isOwner, + isAutoConfiguring, + globalConfigs, router, searchSpaceId, hasCheckedOnboarding, + updatePreferences, + refetchPreferences, ]); // Synchronize active search space and chat IDs with URL @@ -124,14 +190,25 @@ export function DashboardClientLayout({ setActiveSearchSpaceIdState(activeSeacrhSpaceId); }, [search_space_id, setActiveSearchSpaceIdState]); - // Show loading screen while checking onboarding status (only on first load) - if (!hasCheckedOnboarding && (loading || accessLoading) && !isOnboardingPage) { + // Show loading screen while checking onboarding status or auto-configuring + if ( + (!hasCheckedOnboarding && + (loading || accessLoading || globalConfigsLoading) && + !isOnboardingPage) || + isAutoConfiguring + ) { return (
          - {t("loading_config")} - {t("checking_llm_prefs")} + + {isAutoConfiguring ? "Setting up AI..." : t("loading_config")} + + + {isAutoConfiguring + ? "Auto-configuring with available settings" + : t("checking_llm_prefs")} + diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index 9c7e3cb4a..00514facb 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -10,11 +10,12 @@ import { useParams, useRouter } from "next/navigation"; import { useCallback, useEffect, useMemo, useRef, useState } from "react"; import { toast } from "sonner"; import { Thread } from "@/components/assistant-ui/thread"; +import { ChatHeader } from "@/components/new-chat/chat-header"; +import type { ThinkingStep } from "@/components/tool-ui/deepagent-thinking"; +import { DisplayImageToolUI } from "@/components/tool-ui/display-image"; import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; import { LinkPreviewToolUI } from "@/components/tool-ui/link-preview"; -import { DisplayImageToolUI } from "@/components/tool-ui/display-image"; import { ScrapeWebpageToolUI } from "@/components/tool-ui/scrape-webpage"; -import type { ThinkingStep } from "@/components/tool-ui/deepagent-thinking"; import { getBearerToken } from "@/lib/auth-utils"; import { createAttachmentAdapter, extractAttachmentContent } from "@/lib/chat/attachment-adapter"; import { @@ -34,21 +35,21 @@ import { */ function extractThinkingSteps(content: unknown): ThinkingStep[] { if (!Array.isArray(content)) return []; - + const thinkingPart = content.find( - (part: unknown) => - typeof part === "object" && - part !== null && - "type" in part && + (part: unknown) => + typeof part === "object" && + part !== null && + "type" in part && (part as { type: string }).type === "thinking-steps" ) as { type: "thinking-steps"; steps: ThinkingStep[] } | undefined; - + return thinkingPart?.steps || []; } /** * Convert backend message to assistant-ui ThreadMessageLike format - * Filters out 'thinking-steps' part as it's handled separately + * Filters out 'thinking-steps' part as it's handled separately via messageThinkingSteps */ function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { let content: ThreadMessageLike["content"]; @@ -58,15 +59,18 @@ function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { } else if (Array.isArray(msg.content)) { // Filter out thinking-steps part - it's handled separately via messageThinkingSteps const filteredContent = msg.content.filter( - (part: unknown) => - !(typeof part === "object" && - part !== null && - "type" in part && - (part as { type: string }).type === "thinking-steps") + (part: unknown) => + !( + typeof part === "object" && + part !== null && + "type" in part && + (part as { type: string }).type === "thinking-steps" + ) ); - content = filteredContent.length > 0 - ? (filteredContent as ThreadMessageLike["content"]) - : [{ type: "text", text: "" }]; + content = + filteredContent.length > 0 + ? (filteredContent as ThreadMessageLike["content"]) + : [{ type: "text", text: "" }]; } else { content = [{ type: "text", text: String(msg.content) }]; } @@ -82,7 +86,12 @@ function convertToThreadMessage(msg: MessageRecord): ThreadMessageLike { /** * Tools that should render custom UI in the chat. */ -const TOOLS_WITH_UI = new Set(["generate_podcast", "link_preview", "display_image", "scrape_webpage"]); +const TOOLS_WITH_UI = new Set([ + "generate_podcast", + "link_preview", + "display_image", + "scrape_webpage", +]); /** * Type for thinking step data from the backend @@ -101,10 +110,11 @@ export default function NewChatPage() { const [threadId, setThreadId] = useState(null); const [messages, setMessages] = useState([]); const [isRunning, setIsRunning] = useState(false); - // Store thinking steps per message ID - const [messageThinkingSteps, setMessageThinkingSteps] = useState< - Map - >(new Map()); + // Store thinking steps per message ID - kept separate from content to avoid + // "unsupported part type" errors from assistant-ui + const [messageThinkingSteps, setMessageThinkingSteps] = useState>( + new Map() + ); const abortControllerRef = useRef(null); // Create the attachment adapter for file processing @@ -141,7 +151,7 @@ export default function NewChatPage() { if (response.messages && response.messages.length > 0) { const loadedMessages = response.messages.map(convertToThreadMessage); setMessages(loadedMessages); - + // Extract and restore thinking steps from persisted messages const restoredThinkingSteps = new Map(); for (const msg of response.messages) { @@ -247,10 +257,10 @@ export default function NewChatPage() { // Prepare assistant message const assistantMsgId = `msg-assistant-${Date.now()}`; const currentThinkingSteps = new Map(); - + // Ordered content parts to preserve inline tool call positions // Each part is either a text segment or a tool call - type ContentPart = + type ContentPart = | { type: "text"; text: string } | { type: "tool-call"; @@ -260,13 +270,13 @@ export default function NewChatPage() { result?: unknown; }; const contentParts: ContentPart[] = []; - + // Track the current text segment index (for appending text deltas) let currentTextPartIndex = -1; - + // Map to track tool call indices for updating results const toolCallIndices = new Map(); - + // Helper to get or create the current text part for appending text const appendText = (delta: string) => { if (currentTextPartIndex >= 0 && contentParts[currentTextPartIndex]?.type === "text") { @@ -278,7 +288,7 @@ export default function NewChatPage() { currentTextPartIndex = contentParts.length - 1; } }; - + // Helper to add a tool call (this "breaks" the current text segment) const addToolCall = (toolCallId: string, toolName: string, args: Record) => { if (TOOLS_WITH_UI.has(toolName)) { @@ -293,9 +303,12 @@ export default function NewChatPage() { currentTextPartIndex = -1; } }; - + // Helper to update a tool call's args or result - const updateToolCall = (toolCallId: string, update: { args?: Record; result?: unknown }) => { + const updateToolCall = ( + toolCallId: string, + update: { args?: Record; result?: unknown } + ) => { const index = toolCallIndices.get(toolCallId); if (index !== undefined && contentParts[index]?.type === "tool-call") { const tc = contentParts[index] as ContentPart & { type: "tool-call" }; @@ -304,7 +317,7 @@ export default function NewChatPage() { } }; - // Helper to build content for UI (without thinking-steps) + // Helper to build content for UI (without thinking-steps to avoid assistant-ui errors) const buildContentForUI = (): ThreadMessageLike["content"] => { // Filter to only include text parts with content and tool-calls with UI const filtered = contentParts.filter((part) => { @@ -317,10 +330,10 @@ export default function NewChatPage() { : [{ type: "text", text: "" }]; }; - // Helper to build content for persistence (includes thinking-steps) + // Helper to build content for persistence (includes thinking-steps for restoration) const buildContentForPersistence = (): unknown[] => { const parts: unknown[] = []; - + // Include thinking steps for persistence if (currentThinkingSteps.size > 0) { parts.push({ @@ -328,7 +341,7 @@ export default function NewChatPage() { steps: Array.from(currentThinkingSteps.values()), }); } - + // Add content parts (filtered) for (const part of contentParts) { if (part.type === "text" && part.text.length > 0) { @@ -337,7 +350,7 @@ export default function NewChatPage() { parts.push(part); } } - + return parts.length > 0 ? parts : [{ type: "text", text: "" }]; }; @@ -482,13 +495,12 @@ export default function NewChatPage() { const stepData = parsed.data as ThinkingStepData; if (stepData?.id) { currentThinkingSteps.set(stepData.id, stepData); - // Update message-specific thinking steps + // Update thinking steps state for rendering + // The ThinkingStepsScrollHandler in Thread component + // will handle auto-scrolling when this state changes setMessageThinkingSteps((prev) => { const newMap = new Map(prev); - newMap.set( - assistantMsgId, - Array.from(currentThinkingSteps.values()) - ); + newMap.set(assistantMsgId, Array.from(currentThinkingSteps.values())); return newMap; }); } @@ -614,8 +626,11 @@ export default function NewChatPage() { -
          - +
          + +
          + +
          ); diff --git a/surfsense_web/app/dashboard/[search_space_id]/onboard/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/onboard/page.tsx index 1df54d8b2..25f189203 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/onboard/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/onboard/page.tsx @@ -1,312 +1,268 @@ "use client"; import { useAtomValue } from "jotai"; -import { FileText, MessageSquare, UserPlus, Users } from "lucide-react"; +import { Loader2 } from "lucide-react"; import { motion } from "motion/react"; import { useParams, useRouter } from "next/navigation"; -import { useTranslations } from "next-intl"; -import { useCallback, useEffect, useMemo, useRef, useState } from "react"; +import { useEffect, useRef, useState } from "react"; import { toast } from "sonner"; -import { updateLLMPreferencesMutationAtom } from "@/atoms/llm-config/llm-config-mutation.atoms"; import { - globalLLMConfigsAtom, - llmConfigsAtom, + createNewLLMConfigMutationAtom, + updateLLMPreferencesMutationAtom, +} from "@/atoms/new-llm-config/new-llm-config-mutation.atoms"; +import { + globalNewLLMConfigsAtom, llmPreferencesAtom, -} from "@/atoms/llm-config/llm-config-query.atoms"; -import { OnboardActionCard } from "@/components/onboard/onboard-action-card"; -import { OnboardAdvancedSettings } from "@/components/onboard/onboard-advanced-settings"; -import { OnboardHeader } from "@/components/onboard/onboard-header"; -import { OnboardLLMSetup } from "@/components/onboard/onboard-llm-setup"; -import { OnboardLoading } from "@/components/onboard/onboard-loading"; -import { OnboardStats } from "@/components/onboard/onboard-stats"; +} from "@/atoms/new-llm-config/new-llm-config-query.atoms"; +import { Logo } from "@/components/Logo"; +import { LLMConfigForm, type LLMConfigFormData } from "@/components/shared/llm-config-form"; +import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"; import { getBearerToken, redirectToLogin } from "@/lib/auth-utils"; -const OnboardPage = () => { - const t = useTranslations("onboard"); +export default function OnboardPage() { const router = useRouter(); const params = useParams(); const searchSpaceId = Number(params.search_space_id); + // Queries const { - data: llmConfigs = [], - isFetching: configsLoading, - refetch: refreshConfigs, - } = useAtomValue(llmConfigsAtom); - const { data: globalConfigs = [], isFetching: globalConfigsLoading } = - useAtomValue(globalLLMConfigsAtom); - const { - data: preferences = {}, - isFetching: preferencesLoading, - refetch: refreshPreferences, - } = useAtomValue(llmPreferencesAtom); - const { mutateAsync: updatePreferences } = useAtomValue(updateLLMPreferencesMutationAtom); + data: globalConfigs = [], + isFetching: globalConfigsLoading, + isSuccess: globalConfigsLoaded, + } = useAtomValue(globalNewLLMConfigsAtom); + const { data: preferences = {}, isFetching: preferencesLoading } = + useAtomValue(llmPreferencesAtom); - // Compute isOnboardingComplete - const isOnboardingComplete = useMemo(() => { - return !!( - preferences.long_context_llm_id && - preferences.fast_llm_id && - preferences.strategic_llm_id - ); - }, [preferences]); + // Mutations + const { mutateAsync: createConfig, isPending: isCreating } = useAtomValue( + createNewLLMConfigMutationAtom + ); + const { mutateAsync: updatePreferences, isPending: isUpdatingPreferences } = useAtomValue( + updateLLMPreferencesMutationAtom + ); + // State const [isAutoConfiguring, setIsAutoConfiguring] = useState(false); - const [autoConfigComplete, setAutoConfigComplete] = useState(false); - const [showAdvancedSettings, setShowAdvancedSettings] = useState(false); - const [showPromptSettings, setShowPromptSettings] = useState(false); - - const handleRefreshPreferences = useCallback(async () => { - await refreshPreferences(); - }, []); - - // Track if we've already attempted auto-configuration const hasAttemptedAutoConfig = useRef(false); - // Track if onboarding was complete on initial mount - const wasCompleteOnMount = useRef(null); - const hasCheckedInitialState = useRef(false); - - // Check if user is authenticated + // Check authentication useEffect(() => { const token = getBearerToken(); if (!token) { - // Save current path and redirect to login redirectToLogin(); - return; } }, []); - // Capture onboarding state on first load + // Check if onboarding is already complete + const isOnboardingComplete = preferences.agent_llm_id && preferences.document_summary_llm_id; + + // If onboarding is already complete, redirect immediately useEffect(() => { - if ( - !hasCheckedInitialState.current && - !preferencesLoading && - !configsLoading && - !globalConfigsLoading - ) { - wasCompleteOnMount.current = isOnboardingComplete; - hasCheckedInitialState.current = true; + if (!preferencesLoading && isOnboardingComplete) { + router.push(`/dashboard/${searchSpaceId}/new-chat`); } - }, [preferencesLoading, configsLoading, globalConfigsLoading, isOnboardingComplete]); + }, [preferencesLoading, isOnboardingComplete, router, searchSpaceId]); - // Redirect to dashboard if onboarding was already complete + // Auto-configure if global configs are available useEffect(() => { - if ( - wasCompleteOnMount.current === true && - !preferencesLoading && - !configsLoading && - !globalConfigsLoading - ) { - const timer = setTimeout(() => { - router.push(`/dashboard/${searchSpaceId}`); - }, 300); - return () => clearTimeout(timer); - } - }, [preferencesLoading, configsLoading, globalConfigsLoading, router, searchSpaceId]); + const autoConfigureWithGlobal = async () => { + if (hasAttemptedAutoConfig.current) return; + if (globalConfigsLoading || preferencesLoading) return; + if (!globalConfigsLoaded) return; + if (isOnboardingComplete) return; - // Auto-configure LLM roles if global configs are available - const autoConfigureLLMs = useCallback(async () => { - if (hasAttemptedAutoConfig.current) return; - if (globalConfigs.length === 0) return; - if (isOnboardingComplete) { - setAutoConfigComplete(true); - return; - } + // Only auto-configure if we have global configs + if (globalConfigs.length > 0) { + hasAttemptedAutoConfig.current = true; + setIsAutoConfiguring(true); - hasAttemptedAutoConfig.current = true; - setIsAutoConfiguring(true); + try { + const firstGlobalConfig = globalConfigs[0]; - try { - const allConfigs = [...globalConfigs, ...llmConfigs]; + await updatePreferences({ + search_space_id: searchSpaceId, + data: { + agent_llm_id: firstGlobalConfig.id, + document_summary_llm_id: firstGlobalConfig.id, + }, + }); - if (allConfigs.length === 0) { - setIsAutoConfiguring(false); - return; + toast.success("AI configured automatically!", { + description: `Using ${firstGlobalConfig.name}. You can customize this later in Settings.`, + }); + + // Redirect to new-chat + router.push(`/dashboard/${searchSpaceId}/new-chat`); + } catch (error) { + console.error("Auto-configuration failed:", error); + toast.error("Auto-configuration failed. Please add a configuration manually."); + setIsAutoConfiguring(false); + } } + }; - // Use first available config for all roles - const defaultConfigId = allConfigs[0].id; + autoConfigureWithGlobal(); + }, [ + globalConfigs, + globalConfigsLoading, + globalConfigsLoaded, + preferencesLoading, + isOnboardingComplete, + updatePreferences, + searchSpaceId, + router, + ]); - const newPreferences = { - long_context_llm_id: defaultConfigId, - fast_llm_id: defaultConfigId, - strategic_llm_id: defaultConfigId, - }; + // Handle form submission + const handleSubmit = async (formData: LLMConfigFormData) => { + try { + // Create the config + const newConfig = await createConfig(formData); + // Auto-assign to all roles await updatePreferences({ search_space_id: searchSpaceId, - data: newPreferences, + data: { + agent_llm_id: newConfig.id, + document_summary_llm_id: newConfig.id, + }, }); - await refreshPreferences(); - setAutoConfigComplete(true); - toast.success("AI models configured automatically!", { - description: "You can customize these in advanced settings.", + + toast.success("Configuration created!", { + description: "Redirecting to chat...", }); + + // Redirect to new-chat + router.push(`/dashboard/${searchSpaceId}/new-chat`); } catch (error) { - console.error("Auto-configuration failed:", error); - } finally { - setIsAutoConfiguring(false); + console.error("Failed to create config:", error); + if (error instanceof Error) { + toast.error(error.message || "Failed to create configuration"); + } } - }, [globalConfigs, llmConfigs, isOnboardingComplete, updatePreferences, refreshPreferences]); + }; - // Trigger auto-configuration once data is loaded - useEffect(() => { - if (!configsLoading && !globalConfigsLoading && !preferencesLoading) { - autoConfigureLLMs(); - } - }, [configsLoading, globalConfigsLoading, preferencesLoading, autoConfigureLLMs]); - - const allConfigs = [...globalConfigs, ...llmConfigs]; - const isReady = autoConfigComplete || isOnboardingComplete; + const isSubmitting = isCreating || isUpdatingPreferences; // Loading state - if (configsLoading || preferencesLoading || globalConfigsLoading || isAutoConfiguring) { + if (globalConfigsLoading || preferencesLoading || isAutoConfiguring) { return ( - - ); - } - - // Show LLM setup if no configs available OR if roles are not assigned yet - // This forces users to complete role assignment before seeing the final screen - if (allConfigs.length === 0 || !isOnboardingComplete) { - return ( - refreshConfigs()} - onConfigDeleted={() => refreshConfigs()} - onPreferencesUpdated={handleRefreshPreferences} - /> - ); - } - - // Main onboarding view - return ( -
          -
          +
          +
          +
          +
          + +
          +
          +
          +

          + {isAutoConfiguring ? "Setting up your AI..." : "Loading..."} +

          +

          + {isAutoConfiguring + ? "Auto-configuring with available settings" + : "Please wait while we check your configuration"} +

          +
          +
          + {[0, 1, 2].map((i) => ( + + ))} +
          + +
          + ); + } + + // If global configs exist but auto-config failed, show simple message + if (globalConfigs.length > 0 && !isAutoConfiguring) { + return null; // Will redirect via useEffect + } + + // No global configs - show the config form + return ( +
          +
          + {/* Header */} - +
          + + + - {/* Quick Stats */} - +
          +

          Configure Your AI

          +

          + Add your LLM provider to get started with SurfSense +

          +
          +
          - {/* Action Cards */} + {/* Config Form */} - router.push(`/dashboard/${searchSpaceId}/researcher`)} - colorScheme="violet" - delay={0.9} - /> - - router.push(`/dashboard/${searchSpaceId}/sources/add`)} - colorScheme="blue" - delay={0.8} - /> - - router.push(`/dashboard/${searchSpaceId}/team`)} - colorScheme="emerald" - delay={0.7} - /> + + + LLM Configuration + + + + + - {/* Advanced Settings */} - refreshConfigs()} - onConfigDeleted={() => refreshConfigs()} - onPreferencesUpdated={handleRefreshPreferences} - /> - - {/* Footer */} - -

          - You can always adjust these settings later in{" "} - -

          -           + You can add more configurations and customize settings anytime in{" "} + +
          ); -}; - -export default OnboardPage; +} diff --git a/surfsense_web/app/dashboard/[search_space_id]/settings/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/settings/page.tsx index dd68e1a18..ad96402a4 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/settings/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/settings/page.tsx @@ -30,20 +30,20 @@ interface SettingsNavItem { const settingsNavItems: SettingsNavItem[] = [ { id: "models", - label: "Model Configs", - description: "Configure AI models and providers", + label: "Agent Configs", + description: "LLM models with prompts & citations", icon: Bot, }, { id: "roles", - label: "LLM Roles", - description: "Manage language model roles", + label: "Role Assignments", + description: "Assign configs to agent roles", icon: Brain, }, { id: "prompts", label: "System Instructions", - description: "Customize system prompts", + description: "SearchSpace-wide AI instructions", icon: MessageSquare, }, ]; @@ -236,9 +236,6 @@ function SettingsContent({

          {activeItem?.label}

          -

          - {activeItem?.description} -

          @@ -275,7 +272,7 @@ export default function SettingsPage() { const [isSidebarOpen, setIsSidebarOpen] = useState(false); const handleBackToApp = useCallback(() => { - router.push(`/dashboard/${searchSpaceId}/researcher`); + router.push(`/dashboard/${searchSpaceId}/new-chat`); }, [router, searchSpaceId]); return ( diff --git a/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx index 49e1de2ab..ed67fa1f5 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx @@ -807,7 +807,6 @@ function RolesTab({ { // TODO: Implement edit role dialog/modal - console.log("Edit role not yet implemented", role); }} > diff --git a/surfsense_web/atoms/llm-config/llm-config-mutation.atoms.ts b/surfsense_web/atoms/llm-config/llm-config-mutation.atoms.ts deleted file mode 100644 index f28b1d708..000000000 --- a/surfsense_web/atoms/llm-config/llm-config-mutation.atoms.ts +++ /dev/null @@ -1,110 +0,0 @@ -import { atomWithMutation } from "jotai-tanstack-query"; -import { toast } from "sonner"; -import type { - CreateLLMConfigRequest, - DeleteLLMConfigRequest, - GetLLMConfigsResponse, - UpdateLLMConfigRequest, - UpdateLLMConfigResponse, - UpdateLLMPreferencesRequest, -} from "@/contracts/types/llm-config.types"; -import { llmConfigApiService } from "@/lib/apis/llm-config-api.service"; -import { cacheKeys } from "@/lib/query-client/cache-keys"; -import { queryClient } from "@/lib/query-client/client"; -import { activeSearchSpaceIdAtom } from "../search-spaces/search-space-query.atoms"; - -export const createLLMConfigMutationAtom = atomWithMutation((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - - return { - mutationKey: cacheKeys.llmConfigs.all(searchSpaceId!), - enabled: !!searchSpaceId, - mutationFn: async (request: CreateLLMConfigRequest) => { - return llmConfigApiService.createLLMConfig(request); - }, - - onSuccess: () => { - toast.success("LLM configuration created successfully"); - queryClient.invalidateQueries({ - queryKey: cacheKeys.llmConfigs.all(searchSpaceId!), - }); - queryClient.invalidateQueries({ - queryKey: cacheKeys.llmConfigs.global(), - }); - }, - }; -}); - -export const updateLLMConfigMutationAtom = atomWithMutation((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - - return { - mutationKey: cacheKeys.llmConfigs.all(searchSpaceId!), - enabled: !!searchSpaceId, - mutationFn: async (request: UpdateLLMConfigRequest) => { - return llmConfigApiService.updateLLMConfig(request); - }, - - onSuccess: (_: UpdateLLMConfigResponse, request: UpdateLLMConfigRequest) => { - toast.success("LLM configuration updated successfully"); - queryClient.invalidateQueries({ - queryKey: cacheKeys.llmConfigs.all(searchSpaceId!), - }); - queryClient.invalidateQueries({ - queryKey: cacheKeys.llmConfigs.byId(String(request.id)), - }); - queryClient.invalidateQueries({ - queryKey: cacheKeys.llmConfigs.global(), - }); - }, - }; -}); - -export const deleteLLMConfigMutationAtom = atomWithMutation((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - const authToken = localStorage.getItem("surfsense_bearer_token"); - - return { - mutationKey: cacheKeys.llmConfigs.all(searchSpaceId!), - enabled: !!searchSpaceId && !!authToken, - mutationFn: async (request: DeleteLLMConfigRequest) => { - return llmConfigApiService.deleteLLMConfig(request); - }, - - onSuccess: (_, request: DeleteLLMConfigRequest) => { - toast.success("LLM configuration deleted successfully"); - queryClient.setQueryData( - cacheKeys.llmConfigs.all(searchSpaceId!), - (oldData: GetLLMConfigsResponse | undefined) => { - if (!oldData) return oldData; - return oldData.filter((config) => config.id !== request.id); - } - ); - queryClient.invalidateQueries({ - queryKey: cacheKeys.llmConfigs.byId(String(request.id)), - }); - queryClient.invalidateQueries({ - queryKey: cacheKeys.llmConfigs.global(), - }); - }, - }; -}); - -export const updateLLMPreferencesMutationAtom = atomWithMutation((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - - return { - mutationKey: cacheKeys.llmConfigs.preferences(searchSpaceId!), - enabled: !!searchSpaceId, - mutationFn: async (request: UpdateLLMPreferencesRequest) => { - return llmConfigApiService.updateLLMPreferences(request); - }, - - onSuccess: () => { - toast.success("LLM preferences updated successfully"); - queryClient.invalidateQueries({ - queryKey: cacheKeys.llmConfigs.preferences(searchSpaceId!), - }); - }, - }; -}); diff --git a/surfsense_web/atoms/llm-config/llm-config-query.atoms.ts b/surfsense_web/atoms/llm-config/llm-config-query.atoms.ts deleted file mode 100644 index 22ae63d7f..000000000 --- a/surfsense_web/atoms/llm-config/llm-config-query.atoms.ts +++ /dev/null @@ -1,46 +0,0 @@ -import { atomWithQuery } from "jotai-tanstack-query"; -import { llmConfigApiService } from "@/lib/apis/llm-config-api.service"; -import { cacheKeys } from "@/lib/query-client/cache-keys"; -import { activeSearchSpaceIdAtom } from "../search-spaces/search-space-query.atoms"; - -export const llmConfigsAtom = atomWithQuery((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - - return { - queryKey: cacheKeys.llmConfigs.all(searchSpaceId!), - enabled: !!searchSpaceId, - staleTime: 5 * 60 * 1000, // 5 minutes - queryFn: async () => { - return llmConfigApiService.getLLMConfigs({ - queryParams: { - search_space_id: searchSpaceId!, - }, - }); - }, - }; -}); - -export const globalLLMConfigsAtom = atomWithQuery(() => { - return { - queryKey: cacheKeys.llmConfigs.global(), - staleTime: 10 * 60 * 1000, // 10 minutes - queryFn: async () => { - return llmConfigApiService.getGlobalLLMConfigs(); - }, - }; -}); - -export const llmPreferencesAtom = atomWithQuery((get) => { - const searchSpaceId = get(activeSearchSpaceIdAtom); - - return { - queryKey: cacheKeys.llmConfigs.preferences(String(searchSpaceId)), - enabled: !!searchSpaceId, - staleTime: 5 * 60 * 1000, // 5 minutes - queryFn: async () => { - return llmConfigApiService.getLLMPreferences({ - search_space_id: Number(searchSpaceId), - }); - }, - }; -}); diff --git a/surfsense_web/atoms/new-llm-config/new-llm-config-mutation.atoms.ts b/surfsense_web/atoms/new-llm-config/new-llm-config-mutation.atoms.ts new file mode 100644 index 000000000..8f81b7475 --- /dev/null +++ b/surfsense_web/atoms/new-llm-config/new-llm-config-mutation.atoms.ts @@ -0,0 +1,116 @@ +import { atomWithMutation } from "jotai-tanstack-query"; +import { toast } from "sonner"; +import type { + CreateNewLLMConfigRequest, + DeleteNewLLMConfigRequest, + GetNewLLMConfigsResponse, + UpdateLLMPreferencesRequest, + UpdateNewLLMConfigRequest, + UpdateNewLLMConfigResponse, +} from "@/contracts/types/new-llm-config.types"; +import { newLLMConfigApiService } from "@/lib/apis/new-llm-config-api.service"; +import { cacheKeys } from "@/lib/query-client/cache-keys"; +import { queryClient } from "@/lib/query-client/client"; +import { activeSearchSpaceIdAtom } from "../search-spaces/search-space-query.atoms"; + +/** + * Mutation atom for creating a new NewLLMConfig + */ +export const createNewLLMConfigMutationAtom = atomWithMutation((get) => { + const searchSpaceId = get(activeSearchSpaceIdAtom); + + return { + mutationKey: ["new-llm-configs", "create"], + enabled: !!searchSpaceId, + mutationFn: async (request: CreateNewLLMConfigRequest) => { + return newLLMConfigApiService.createConfig(request); + }, + onSuccess: () => { + toast.success("Configuration created successfully"); + queryClient.invalidateQueries({ + queryKey: cacheKeys.newLLMConfigs.all(Number(searchSpaceId)), + }); + }, + onError: (error: Error) => { + toast.error(error.message || "Failed to create configuration"); + }, + }; +}); + +/** + * Mutation atom for updating an existing NewLLMConfig + */ +export const updateNewLLMConfigMutationAtom = atomWithMutation((get) => { + const searchSpaceId = get(activeSearchSpaceIdAtom); + + return { + mutationKey: ["new-llm-configs", "update"], + enabled: !!searchSpaceId, + mutationFn: async (request: UpdateNewLLMConfigRequest) => { + return newLLMConfigApiService.updateConfig(request); + }, + onSuccess: (_: UpdateNewLLMConfigResponse, request: UpdateNewLLMConfigRequest) => { + toast.success("Configuration updated successfully"); + queryClient.invalidateQueries({ + queryKey: cacheKeys.newLLMConfigs.all(Number(searchSpaceId)), + }); + queryClient.invalidateQueries({ + queryKey: cacheKeys.newLLMConfigs.byId(request.id), + }); + }, + onError: (error: Error) => { + toast.error(error.message || "Failed to update configuration"); + }, + }; +}); + +/** + * Mutation atom for deleting a NewLLMConfig + */ +export const deleteNewLLMConfigMutationAtom = atomWithMutation((get) => { + const searchSpaceId = get(activeSearchSpaceIdAtom); + + return { + mutationKey: ["new-llm-configs", "delete"], + enabled: !!searchSpaceId, + mutationFn: async (request: DeleteNewLLMConfigRequest) => { + return newLLMConfigApiService.deleteConfig(request); + }, + onSuccess: (_, request: DeleteNewLLMConfigRequest) => { + toast.success("Configuration deleted successfully"); + queryClient.setQueryData( + cacheKeys.newLLMConfigs.all(Number(searchSpaceId)), + (oldData: GetNewLLMConfigsResponse | undefined) => { + if (!oldData) return oldData; + return oldData.filter((config) => config.id !== request.id); + } + ); + }, + onError: (error: Error) => { + toast.error(error.message || "Failed to delete configuration"); + }, + }; +}); + +/** + * Mutation atom for updating LLM preferences (role assignments) + */ +export const updateLLMPreferencesMutationAtom = atomWithMutation((get) => { + const searchSpaceId = get(activeSearchSpaceIdAtom); + + return { + mutationKey: ["llm-preferences", "update"], + enabled: !!searchSpaceId, + mutationFn: async (request: UpdateLLMPreferencesRequest) => { + return newLLMConfigApiService.updateLLMPreferences(request); + }, + onSuccess: () => { + queryClient.invalidateQueries({ + queryKey: cacheKeys.newLLMConfigs.preferences(Number(searchSpaceId)), + }); + }, + onError: (error: Error) => { + toast.error(error.message || "Failed to update LLM preferences"); + }, + }; +}); diff --git a/surfsense_web/atoms/new-llm-config/new-llm-config-query.atoms.ts b/surfsense_web/atoms/new-llm-config/new-llm-config-query.atoms.ts new file mode 100644 index 000000000..9f5085d33 --- /dev/null +++ b/surfsense_web/atoms/new-llm-config/new-llm-config-query.atoms.ts @@ -0,0 +1,64 @@ +import { atomWithQuery } from "jotai-tanstack-query"; +import { newLLMConfigApiService } from "@/lib/apis/new-llm-config-api.service"; +import { cacheKeys } from "@/lib/query-client/cache-keys"; +import { activeSearchSpaceIdAtom } from "../search-spaces/search-space-query.atoms"; + +/** + * Query atom for fetching all NewLLMConfigs for the active search space + */ +export const newLLMConfigsAtom = atomWithQuery((get) => { + const searchSpaceId = get(activeSearchSpaceIdAtom); + + return { + queryKey: cacheKeys.newLLMConfigs.all(Number(searchSpaceId)), + enabled: !!searchSpaceId, + staleTime: 5 * 60 * 1000, // 5 minutes + queryFn: async () => { + return newLLMConfigApiService.getConfigs({ + search_space_id: Number(searchSpaceId), + }); + }, + }; +}); + +/** + * Query atom for fetching global NewLLMConfigs (from YAML, negative IDs) + */ +export const globalNewLLMConfigsAtom = atomWithQuery(() => { + return { + queryKey: cacheKeys.newLLMConfigs.global(), + staleTime: 10 * 60 * 1000, // 10 minutes - global configs rarely change + queryFn: async () => { + return newLLMConfigApiService.getGlobalConfigs(); + }, + }; +}); + +/** + * Query atom for fetching LLM preferences (role assignments) for the active search space + */ +export const llmPreferencesAtom = atomWithQuery((get) => { + const searchSpaceId = get(activeSearchSpaceIdAtom); + + return { + queryKey: cacheKeys.newLLMConfigs.preferences(Number(searchSpaceId)), + enabled: !!searchSpaceId, + staleTime: 5 * 60 * 1000, // 5 minutes + queryFn: async () => { + return newLLMConfigApiService.getLLMPreferences(Number(searchSpaceId)); + }, + }; +}); + +/** + * Query atom for fetching default system instructions template + */ +export const defaultSystemInstructionsAtom = atomWithQuery(() => { + return { + queryKey: cacheKeys.newLLMConfigs.defaultInstructions(), + staleTime: 60 * 60 * 1000, // 1 hour - this rarely changes + queryFn: async () => { + return newLLMConfigApiService.getDefaultSystemInstructions(); + }, + }; +}); diff --git a/surfsense_web/atoms/search-spaces/search-space-query.atoms.ts b/surfsense_web/atoms/search-spaces/search-space-query.atoms.ts index 4aa024e93..588466d90 100644 --- a/surfsense_web/atoms/search-spaces/search-space-query.atoms.ts +++ b/surfsense_web/atoms/search-spaces/search-space-query.atoms.ts @@ -25,13 +25,3 @@ export const searchSpacesAtom = atomWithQuery((get) => { }, }; }); - -export const communityPromptsAtom = atomWithQuery(() => { - return { - queryKey: cacheKeys.searchSpaces.communityPrompts, - staleTime: 30 * 60 * 1000, - queryFn: async () => { - return searchSpacesApiService.getCommunityPrompts(); - }, - }; -}); diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index 103440673..33d6a0cad 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -8,8 +8,11 @@ import { ThreadPrimitive, useAssistantState, useMessage, + useThreadViewport, } from "@assistant-ui/react"; +import { useAtomValue } from "jotai"; import { + AlertCircle, ArrowDownIcon, ArrowUpIcon, Brain, @@ -29,14 +32,16 @@ import { SquareIcon, } from "lucide-react"; import Link from "next/link"; -import { type FC, useState, useRef, useCallback, useEffect } from "react"; -import { useAtomValue } from "jotai"; -import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; -import { documentTypeCountsAtom } from "@/atoms/documents/document-query.atoms"; -import { useSearchSourceConnectors } from "@/hooks/use-search-source-connectors"; -import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; +import { type FC, useCallback, useEffect, useMemo, useRef, useState } from "react"; import { getDocumentTypeLabel } from "@/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentTypeIcon"; -import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; +import { documentTypeCountsAtom } from "@/atoms/documents/document-query.atoms"; +import { + globalNewLLMConfigsAtom, + llmPreferencesAtom, + newLLMConfigsAtom, +} from "@/atoms/new-llm-config/new-llm-config-query.atoms"; +import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; +import { currentUserAtom } from "@/atoms/user/user-query.atoms"; import { ComposerAddAttachment, ComposerAttachments, @@ -52,10 +57,12 @@ import { ChainOfThoughtStep, ChainOfThoughtTrigger, } from "@/components/prompt-kit/chain-of-thought"; -import { Button } from "@/components/ui/button"; -import { cn } from "@/lib/utils"; -import { currentUserAtom } from "@/atoms/user/user-query.atoms"; import type { ThinkingStep } from "@/components/tool-ui/deepagent-thinking"; +import { Button } from "@/components/ui/button"; +import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; +import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; +import { useSearchSourceConnectors } from "@/hooks/use-search-source-connectors"; +import { cn } from "@/lib/utils"; /** * Props for the Thread component @@ -74,35 +81,38 @@ const ThinkingStepsContext = createContext>(new Map( */ function getStepIcon(status: "pending" | "in_progress" | "completed", title: string) { const titleLower = title.toLowerCase(); - + if (status === "in_progress") { return ; } - + if (status === "completed") { return ; } - + if (titleLower.includes("search") || titleLower.includes("knowledge")) { return ; } - + if (titleLower.includes("analy") || titleLower.includes("understand")) { return ; } - + return ; } /** * Chain of thought display component with smart expand/collapse behavior */ -const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[]; isThreadRunning?: boolean }> = ({ steps, isThreadRunning = true }) => { +const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[]; isThreadRunning?: boolean }> = ({ + steps, + isThreadRunning = true, +}) => { // Track which steps the user has manually toggled (overrides auto behavior) const [manualOverrides, setManualOverrides] = useState>({}); // Track previous step statuses to detect changes const prevStatusesRef = useRef>({}); - + // Derive effective status: if thread stopped and step is in_progress, treat as completed const getEffectiveStatus = (step: ThinkingStep): "pending" | "in_progress" | "completed" => { if (step.status === "in_progress" && !isThreadRunning) { @@ -110,24 +120,24 @@ const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[]; isThreadRunning?: boolea } return step.status; }; - + // Check if any step is effectively in progress - const hasInProgressStep = steps.some(step => getEffectiveStatus(step) === "in_progress"); - + const hasInProgressStep = steps.some((step) => getEffectiveStatus(step) === "in_progress"); + // Find the last completed step index (using effective status) const lastCompletedIndex = steps - .map((s, i) => getEffectiveStatus(s) === "completed" ? i : -1) - .filter(i => i !== -1) + .map((s, i) => (getEffectiveStatus(s) === "completed" ? i : -1)) + .filter((i) => i !== -1) .pop(); - + // Clear manual overrides when a step's status changes useEffect(() => { const currentStatuses: Record = {}; - steps.forEach(step => { + steps.forEach((step) => { currentStatuses[step.id] = step.status; // If status changed, clear any manual override for this step if (prevStatusesRef.current[step.id] && prevStatusesRef.current[step.id] !== step.status) { - setManualOverrides(prev => { + setManualOverrides((prev) => { const next = { ...prev }; delete next[step.id]; return next; @@ -136,9 +146,9 @@ const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[]; isThreadRunning?: boolea }); prevStatusesRef.current = currentStatuses; }, [steps]); - + if (steps.length === 0) return null; - + const getStepOpenState = (step: ThinkingStep, index: number): boolean => { const effectiveStatus = getEffectiveStatus(step); // If user has manually toggled, respect that @@ -156,14 +166,14 @@ const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[]; isThreadRunning?: boolea // Default: collapsed return false; }; - + const handleToggle = (stepId: string, currentOpen: boolean) => { - setManualOverrides(prev => ({ + setManualOverrides((prev) => ({ ...prev, [stepId]: !currentOpen, })); }; - + return (
          @@ -172,8 +182,8 @@ const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[]; isThreadRunning?: boolea const icon = getStepIcon(effectiveStatus, step.title); const isOpen = getStepOpenState(step, index); return ( - handleToggle(step.id, isOpen)} > @@ -190,9 +200,7 @@ const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[]; isThreadRunning?: boolea {step.items && step.items.length > 0 && ( {step.items.map((item, idx) => ( - - {item} - + {item} ))} )} @@ -204,6 +212,56 @@ const ThinkingStepsDisplay: FC<{ steps: ThinkingStep[]; isThreadRunning?: boolea ); }; +/** + * Component that handles auto-scroll when thinking steps update. + * Uses useThreadViewport to scroll to bottom when thinking steps change, + * ensuring the user always sees the latest content during streaming. + */ +const ThinkingStepsScrollHandler: FC = () => { + const thinkingStepsMap = useContext(ThinkingStepsContext); + const viewport = useThreadViewport(); + const isRunning = useAssistantState(({ thread }) => thread.isRunning); + // Track the serialized state to detect any changes + const prevStateRef = useRef(""); + + useEffect(() => { + // Only act during streaming + if (!isRunning) { + prevStateRef.current = ""; + return; + } + + // Serialize the thinking steps state to detect any changes + // This catches new steps, status changes, and item additions + let stateString = ""; + thinkingStepsMap.forEach((steps, msgId) => { + steps.forEach((step) => { + stateString += `${msgId}:${step.id}:${step.status}:${step.items?.length || 0};`; + }); + }); + + // If state changed at all during streaming, scroll + if (stateString !== prevStateRef.current && stateString !== "") { + prevStateRef.current = stateString; + + // Multiple attempts to ensure scroll happens after DOM updates + const scrollAttempt = () => { + try { + viewport.scrollToBottom(); + } catch (e) { + // Ignore errors - viewport might not be ready + } + }; + + // Delayed attempts to handle async DOM updates + requestAnimationFrame(scrollAttempt); + setTimeout(scrollAttempt, 100); + } + }, [thinkingStepsMap, viewport, isRunning]); + + return null; // This component doesn't render anything +}; + export const Thread: FC = ({ messageThinkingSteps = new Map() }) => { return ( @@ -217,6 +275,9 @@ export const Thread: FC = ({ messageThinkingSteps = new Map() }) => turnAnchor="top" className="aui-thread-viewport relative flex flex-1 flex-col overflow-x-auto overflow-y-scroll scroll-smooth px-4 pt-4" > + {/* Auto-scroll handler for thinking steps - must be inside Viewport */} + + thread.isEmpty}> @@ -259,49 +320,24 @@ const ThreadScrollToBottom: FC = () => { const getTimeBasedGreeting = (userEmail?: string): string => { const hour = new Date().getHours(); - + // Extract first name from email if available const firstName = userEmail - ? userEmail.split("@")[0].split(".")[0].charAt(0).toUpperCase() + - userEmail.split("@")[0].split(".")[0].slice(1) + ? userEmail.split("@")[0].split(".")[0].charAt(0).toUpperCase() + + userEmail.split("@")[0].split(".")[0].slice(1) : null; - + // Array of greeting variations for each time period - const morningGreetings = [ - "Good morning", - "Rise and shine", - "Morning", - "Hey there", - ]; - - const afternoonGreetings = [ - "Good afternoon", - "Afternoon", - "Hey there", - "Hi there", - ]; - - const eveningGreetings = [ - "Good evening", - "Evening", - "Hey there", - "Hi there", - ]; - - const nightGreetings = [ - "Good night", - "Evening", - "Hey there", - "Winding down", - ]; - - const lateNightGreetings = [ - "Still up", - "Night owl mode", - "The night is young", - "Hi there", - ]; - + const morningGreetings = ["Good morning", "Rise and shine", "Morning", "Hey there"]; + + const afternoonGreetings = ["Good afternoon", "Afternoon", "Hey there", "Hi there"]; + + const eveningGreetings = ["Good evening", "Evening", "Hey there", "Hi there"]; + + const nightGreetings = ["Good night", "Evening", "Hey there", "Winding down"]; + + const lateNightGreetings = ["Still up", "Night owl mode", "The night is young", "Hi there"]; + // Select a random greeting based on time let greeting: string; if (hour < 5) { @@ -317,25 +353,25 @@ const getTimeBasedGreeting = (userEmail?: string): string => { // Night: 10 PM to midnight greeting = nightGreetings[Math.floor(Math.random() * nightGreetings.length)]; } - + // Add personalization with first name if available if (firstName) { return `${greeting}, ${firstName}!`; } - + return `${greeting}!`; }; const ThreadWelcome: FC = () => { const { data: user } = useAtomValue(currentUserAtom); - + return (
          {/* Greeting positioned above the composer - fixed position */}
          -

          - {getTimeBasedGreeting(user?.email)} -

          +

          + {getTimeBasedGreeting(user?.email)} +

          {/* Composer - top edge fixed, expands downward only */}
          @@ -346,16 +382,41 @@ const ThreadWelcome: FC = () => { }; const Composer: FC = () => { + // Check if a model is configured - needed to disable input + const { data: userConfigs } = useAtomValue(newLLMConfigsAtom); + const { data: globalConfigs } = useAtomValue(globalNewLLMConfigsAtom); + const { data: preferences } = useAtomValue(llmPreferencesAtom); + + const hasModelConfigured = useMemo(() => { + if (!preferences) return false; + const agentLlmId = preferences.agent_llm_id; + if (agentLlmId === null || agentLlmId === undefined) return false; + + // Check if the configured model actually exists + if (agentLlmId < 0) { + return globalConfigs?.some((c) => c.id === agentLlmId) ?? false; + } + return userConfigs?.some((c) => c.id === agentLlmId) ?? false; + }, [preferences, globalConfigs, userConfigs]); + return ( @@ -365,22 +426,26 @@ const Composer: FC = () => { const ConnectorIndicator: FC = () => { const searchSpaceId = useAtomValue(activeSearchSpaceIdAtom); - const { connectors, isLoading: connectorsLoading } = useSearchSourceConnectors(false, searchSpaceId ? Number(searchSpaceId) : undefined); - const { data: documentTypeCounts, isLoading: documentTypesLoading } = useAtomValue(documentTypeCountsAtom); + const { connectors, isLoading: connectorsLoading } = useSearchSourceConnectors( + false, + searchSpaceId ? Number(searchSpaceId) : undefined + ); + const { data: documentTypeCounts, isLoading: documentTypesLoading } = + useAtomValue(documentTypeCountsAtom); const [isOpen, setIsOpen] = useState(false); const closeTimeoutRef = useRef(null); - + const isLoading = connectorsLoading || documentTypesLoading; - + // Get document types that have documents in the search space - const activeDocumentTypes = documentTypeCounts + const activeDocumentTypes = documentTypeCounts ? Object.entries(documentTypeCounts).filter(([_, count]) => count > 0) : []; - + const hasConnectors = connectors.length > 0; const hasSources = hasConnectors || activeDocumentTypes.length > 0; const totalSourceCount = connectors.length + activeDocumentTypes.length; - + const handleMouseEnter = useCallback(() => { // Clear any pending close timeout if (closeTimeoutRef.current) { @@ -389,16 +454,16 @@ const ConnectorIndicator: FC = () => { } setIsOpen(true); }, []); - + const handleMouseLeave = useCallback(() => { // Delay closing by 150ms for better UX closeTimeoutRef.current = setTimeout(() => { setIsOpen(false); }, 150); }, []); - + if (!searchSpaceId) return null; - + return ( @@ -412,7 +477,9 @@ const ConnectorIndicator: FC = () => { "data-[state=open]:bg-transparent data-[state=open]:shadow-none data-[state=open]:ring-0", "text-muted-foreground" )} - aria-label={hasSources ? `View ${totalSourceCount} connected sources` : "Add your first connector"} + aria-label={ + hasSources ? `View ${totalSourceCount} connected sources` : "Add your first connector" + } onMouseEnter={handleMouseEnter} onMouseLeave={handleMouseLeave} > @@ -434,9 +501,9 @@ const ConnectorIndicator: FC = () => { )} - { {hasSources ? (
          -

          - Connected Sources -

          +

          Connected Sources

          {totalSourceCount} @@ -475,11 +540,11 @@ const ConnectorIndicator: FC = () => {
          - - Manage connectors + + Add more sources
          @@ -522,7 +587,24 @@ const ComposerAction: FC = () => { return text.length === 0; }); - const isSendDisabled = hasProcessingAttachments || isComposerEmpty; + // Check if a model is configured + const { data: userConfigs } = useAtomValue(newLLMConfigsAtom); + const { data: globalConfigs } = useAtomValue(globalNewLLMConfigsAtom); + const { data: preferences } = useAtomValue(llmPreferencesAtom); + + const hasModelConfigured = useMemo(() => { + if (!preferences) return false; + const agentLlmId = preferences.agent_llm_id; + if (agentLlmId === null || agentLlmId === undefined) return false; + + // Check if the configured model actually exists + if (agentLlmId < 0) { + return globalConfigs?.some((c) => c.id === agentLlmId) ?? false; + } + return userConfigs?.some((c) => c.id === agentLlmId) ?? false; + }, [preferences, globalConfigs, userConfigs]); + + const isSendDisabled = hasProcessingAttachments || isComposerEmpty || !hasModelConfigured; return (
          @@ -539,15 +621,25 @@ const ComposerAction: FC = () => {
          )} + {/* Show warning when no model is configured */} + {!hasModelConfigured && !hasProcessingAttachments && ( +
          + + Select a model +
          + )} + !thread.isRunning}> { ); }; -const AssistantMessageInner: FC = () => { +/** + * Custom component to render thinking steps from Context + */ +const ThinkingStepsPart: FC = () => { const thinkingStepsMap = useContext(ThinkingStepsContext); - + // Get the current message ID to look up thinking steps const messageId = useMessage((m) => m.id); const thinkingSteps = thinkingStepsMap.get(messageId) || []; - + // Check if thread is still running (for stopping the spinner when cancelled) const isThreadRunning = useAssistantState(({ thread }) => thread.isRunning); - + + if (thinkingSteps.length === 0) return null; + + return ( +
          + +
          + ); +}; + +const AssistantMessageInner: FC = () => { return ( <> - {/* Show thinking steps BEFORE the text response */} - {thinkingSteps.length > 0 && ( -
          - -
          - )} - + {/* Render thinking steps from message content - this ensures proper scroll tracking */} + +
          -
          -
          -
          -
          - SurfSense -
          -
          - -
            - {pages.map((page) => ( -
          • - - {page.title} - -
            • - ))} -
          - - -
          -
          -

          - © SurfSense 2025 -

          -
          - - - - - - - - - - - - -
          -
          -
          -
          - ); -} - -const GridLineHorizontal = ({ className, offset }: { className?: string; offset?: string }) => { - return ( -
          - ); -}; diff --git a/surfsense_web/components/new-chat/chat-header.tsx b/surfsense_web/components/new-chat/chat-header.tsx new file mode 100644 index 000000000..ef1533e23 --- /dev/null +++ b/surfsense_web/components/new-chat/chat-header.tsx @@ -0,0 +1,66 @@ +"use client"; + +import { useCallback, useState } from "react"; +import type { + GlobalNewLLMConfig, + NewLLMConfigPublic, +} from "@/contracts/types/new-llm-config.types"; +import { ModelConfigSidebar } from "./model-config-sidebar"; +import { ModelSelector } from "./model-selector"; + +interface ChatHeaderProps { + searchSpaceId: number; +} + +export function ChatHeader({ searchSpaceId }: ChatHeaderProps) { + const [sidebarOpen, setSidebarOpen] = useState(false); + const [selectedConfig, setSelectedConfig] = useState< + NewLLMConfigPublic | GlobalNewLLMConfig | null + >(null); + const [isGlobal, setIsGlobal] = useState(false); + const [sidebarMode, setSidebarMode] = useState<"create" | "edit" | "view">("view"); + + const handleEditConfig = useCallback( + (config: NewLLMConfigPublic | GlobalNewLLMConfig, global: boolean) => { + setSelectedConfig(config); + setIsGlobal(global); + setSidebarMode(global ? "view" : "edit"); + setSidebarOpen(true); + }, + [] + ); + + const handleAddNew = useCallback(() => { + setSelectedConfig(null); + setIsGlobal(false); + setSidebarMode("create"); + setSidebarOpen(true); + }, []); + + const handleSidebarClose = useCallback((open: boolean) => { + setSidebarOpen(open); + if (!open) { + // Reset state when closing + setSelectedConfig(null); + } + }, []); + + return ( + <> + {/* Header Bar */} +
          + +
          + + {/* Config Sidebar */} + + + ); +} diff --git a/surfsense_web/components/new-chat/model-config-sidebar.tsx b/surfsense_web/components/new-chat/model-config-sidebar.tsx new file mode 100644 index 000000000..f3d3c2dcd --- /dev/null +++ b/surfsense_web/components/new-chat/model-config-sidebar.tsx @@ -0,0 +1,369 @@ +"use client"; + +import { useAtomValue } from "jotai"; +import { AlertCircle, Bot, ChevronRight, Globe, User, X } from "lucide-react"; +import { AnimatePresence, motion } from "motion/react"; +import { useCallback, useEffect, useState } from "react"; +import { toast } from "sonner"; +import { + createNewLLMConfigMutationAtom, + updateLLMPreferencesMutationAtom, + updateNewLLMConfigMutationAtom, +} from "@/atoms/new-llm-config/new-llm-config-mutation.atoms"; +import { LLMConfigForm, type LLMConfigFormData } from "@/components/shared/llm-config-form"; +import { Alert, AlertDescription } from "@/components/ui/alert"; +import { Badge } from "@/components/ui/badge"; +import { Button } from "@/components/ui/button"; +import type { + GlobalNewLLMConfig, + NewLLMConfigPublic, +} from "@/contracts/types/new-llm-config.types"; +import { cn } from "@/lib/utils"; + +interface ModelConfigSidebarProps { + open: boolean; + onOpenChange: (open: boolean) => void; + config: NewLLMConfigPublic | GlobalNewLLMConfig | null; + isGlobal: boolean; + searchSpaceId: number; + mode: "create" | "edit" | "view"; +} + +export function ModelConfigSidebar({ + open, + onOpenChange, + config, + isGlobal, + searchSpaceId, + mode, +}: ModelConfigSidebarProps) { + const [isSubmitting, setIsSubmitting] = useState(false); + + // Mutations - use mutateAsync from the atom value + const { mutateAsync: createConfig } = useAtomValue(createNewLLMConfigMutationAtom); + const { mutateAsync: updateConfig } = useAtomValue(updateNewLLMConfigMutationAtom); + const { mutateAsync: updatePreferences } = useAtomValue(updateLLMPreferencesMutationAtom); + + // Handle escape key + useEffect(() => { + const handleEscape = (e: KeyboardEvent) => { + if (e.key === "Escape" && open) { + onOpenChange(false); + } + }; + window.addEventListener("keydown", handleEscape); + return () => window.removeEventListener("keydown", handleEscape); + }, [open, onOpenChange]); + + // Get title based on mode + const getTitle = () => { + if (mode === "create") return "Add New Configuration"; + if (isGlobal) return "View Global Configuration"; + return "Edit Configuration"; + }; + + // Handle form submit + const handleSubmit = useCallback( + async (data: LLMConfigFormData) => { + setIsSubmitting(true); + try { + if (mode === "create") { + // Create new config + const result = await createConfig({ + ...data, + search_space_id: searchSpaceId, + }); + + // Assign the new config to the agent role + if (result?.id) { + await updatePreferences({ + search_space_id: searchSpaceId, + data: { + agent_llm_id: result.id, + }, + }); + } + + toast.success("Configuration created and assigned!"); + onOpenChange(false); + } else if (!isGlobal && config) { + // Update existing user config + await updateConfig({ + id: config.id, + data: { + name: data.name, + description: data.description, + provider: data.provider, + custom_provider: data.custom_provider, + model_name: data.model_name, + api_key: data.api_key, + api_base: data.api_base, + litellm_params: data.litellm_params, + system_instructions: data.system_instructions, + use_default_system_instructions: data.use_default_system_instructions, + citations_enabled: data.citations_enabled, + }, + }); + toast.success("Configuration updated!"); + onOpenChange(false); + } + } catch (error) { + console.error("Failed to save configuration:", error); + toast.error("Failed to save configuration"); + } finally { + setIsSubmitting(false); + } + }, + [ + mode, + isGlobal, + config, + searchSpaceId, + createConfig, + updateConfig, + updatePreferences, + onOpenChange, + ] + ); + + // Handle "Use this model" for global configs + const handleUseGlobalConfig = useCallback(async () => { + if (!config || !isGlobal) return; + setIsSubmitting(true); + try { + await updatePreferences({ + search_space_id: searchSpaceId, + data: { + agent_llm_id: config.id, + }, + }); + toast.success(`Now using ${config.name}`); + onOpenChange(false); + } catch (error) { + console.error("Failed to set model:", error); + toast.error("Failed to set model"); + } finally { + setIsSubmitting(false); + } + }, [config, isGlobal, searchSpaceId, updatePreferences, onOpenChange]); + + return ( + + {open && ( + <> + {/* Backdrop */} + onOpenChange(false)} + /> + + {/* Sidebar Panel */} + + {/* Header */} +
          +
          +
          + +
          +
          +

          {getTitle()}

          +
          + {isGlobal ? ( + + + Global + + ) : mode !== "create" ? ( + + + Custom + + ) : null} + {config && ( + {config.model_name} + )} +
          +
          +
          + +
          + + {/* Content - use overflow-y-auto instead of ScrollArea for better compatibility */} +
          +
          + {/* Global config notice */} + {isGlobal && mode !== "create" && ( + + + + Global configurations are read-only. To customize settings, create a new + configuration based on this template. + + + )} + + {/* Form */} + {mode === "create" ? ( + onOpenChange(false)} + isSubmitting={isSubmitting} + mode="create" + submitLabel="Create & Use" + /> + ) : isGlobal && config ? ( + // Read-only view for global configs +
          + {/* Config Details */} +
          +
          +
          + +

          {config.name}

          +
          + {config.description && ( +
          + +

          {config.description}

          +
          + )} +
          + +
          + +
          +
          + +

          {config.provider}

          +
          +
          + +

          {config.model_name}

          +
          +
          + +
          + +
          +
          + + + {config.citations_enabled ? "Enabled" : "Disabled"} + +
          +
          + + {config.system_instructions && ( + <> +
          +
          + +
          +

          + {config.system_instructions} +

          +
          +
          + + )} +
          + + {/* Action Buttons */} +
          + + +
          +
          + ) : config ? ( + // Edit form for user configs + onOpenChange(false)} + isSubmitting={isSubmitting} + mode="edit" + submitLabel="Save Changes" + /> + ) : null} +
          +
          + + + )} + + ); +} diff --git a/surfsense_web/components/new-chat/model-selector.tsx b/surfsense_web/components/new-chat/model-selector.tsx new file mode 100644 index 000000000..89390f957 --- /dev/null +++ b/surfsense_web/components/new-chat/model-selector.tsx @@ -0,0 +1,384 @@ +"use client"; + +import { useAtomValue } from "jotai"; +import { + Bot, + Check, + ChevronDown, + Cloud, + Edit3, + Globe, + Loader2, + Plus, + Settings2, + Sparkles, + User, + Zap, +} from "lucide-react"; +import { useCallback, useMemo, useState } from "react"; +import { toast } from "sonner"; +import { updateLLMPreferencesMutationAtom } from "@/atoms/new-llm-config/new-llm-config-mutation.atoms"; +import { + globalNewLLMConfigsAtom, + llmPreferencesAtom, + newLLMConfigsAtom, +} from "@/atoms/new-llm-config/new-llm-config-query.atoms"; +import { activeSearchSpaceIdAtom } from "@/atoms/search-spaces/search-space-query.atoms"; +import { Badge } from "@/components/ui/badge"; +import { Button } from "@/components/ui/button"; +import { + Command, + CommandEmpty, + CommandGroup, + CommandInput, + CommandItem, + CommandList, + CommandSeparator, +} from "@/components/ui/command"; +import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; +import type { + GlobalNewLLMConfig, + NewLLMConfigPublic, +} from "@/contracts/types/new-llm-config.types"; +import { cn } from "@/lib/utils"; + +// Provider icons mapping +const getProviderIcon = (provider: string) => { + const iconClass = "size-4"; + switch (provider?.toUpperCase()) { + case "OPENAI": + return ; + case "ANTHROPIC": + return ; + case "GOOGLE": + return ; + case "GROQ": + return ; + case "OLLAMA": + return ; + case "XAI": + return ; + default: + return ; + } +}; + +interface ModelSelectorProps { + onEdit: (config: NewLLMConfigPublic | GlobalNewLLMConfig, isGlobal: boolean) => void; + onAddNew: () => void; + className?: string; +} + +export function ModelSelector({ onEdit, onAddNew, className }: ModelSelectorProps) { + const [open, setOpen] = useState(false); + const [searchQuery, setSearchQuery] = useState(""); + const [isSwitching, setIsSwitching] = useState(false); + + // Fetch configs + const { data: userConfigs, isLoading: userConfigsLoading } = useAtomValue(newLLMConfigsAtom); + const { data: globalConfigs, isLoading: globalConfigsLoading } = + useAtomValue(globalNewLLMConfigsAtom); + const { data: preferences, isLoading: preferencesLoading } = useAtomValue(llmPreferencesAtom); + const searchSpaceId = useAtomValue(activeSearchSpaceIdAtom); + const { mutateAsync: updatePreferences } = useAtomValue(updateLLMPreferencesMutationAtom); + + const isLoading = userConfigsLoading || globalConfigsLoading || preferencesLoading; + + // Get current agent LLM config + const currentConfig = useMemo(() => { + if (!preferences) return null; + + const agentLlmId = preferences.agent_llm_id; + if (agentLlmId === null || agentLlmId === undefined) return null; + + // Check if it's a global config (negative ID) + if (agentLlmId < 0) { + return globalConfigs?.find((c) => c.id === agentLlmId) ?? null; + } + // Otherwise, check user configs + return userConfigs?.find((c) => c.id === agentLlmId) ?? null; + }, [preferences, globalConfigs, userConfigs]); + + // Filter configs based on search + const filteredGlobalConfigs = useMemo(() => { + if (!globalConfigs) return []; + if (!searchQuery) return globalConfigs; + const query = searchQuery.toLowerCase(); + return globalConfigs.filter( + (c) => + c.name.toLowerCase().includes(query) || + c.model_name.toLowerCase().includes(query) || + c.provider.toLowerCase().includes(query) + ); + }, [globalConfigs, searchQuery]); + + const filteredUserConfigs = useMemo(() => { + if (!userConfigs) return []; + if (!searchQuery) return userConfigs; + const query = searchQuery.toLowerCase(); + return userConfigs.filter( + (c) => + c.name.toLowerCase().includes(query) || + c.model_name.toLowerCase().includes(query) || + c.provider.toLowerCase().includes(query) + ); + }, [userConfigs, searchQuery]); + + const handleSelectConfig = useCallback( + async (config: NewLLMConfigPublic | GlobalNewLLMConfig) => { + // If already selected, just close + if (currentConfig?.id === config.id) { + setOpen(false); + return; + } + + if (!searchSpaceId) { + toast.error("No search space selected"); + return; + } + + setIsSwitching(true); + try { + await updatePreferences({ + search_space_id: Number(searchSpaceId), + data: { + agent_llm_id: config.id, + }, + }); + toast.success(`Switched to ${config.name}`); + setOpen(false); + } catch (error) { + console.error("Failed to switch model:", error); + toast.error("Failed to switch model"); + } finally { + setIsSwitching(false); + } + }, + [currentConfig, searchSpaceId, updatePreferences] + ); + + const handleEditConfig = useCallback( + (e: React.MouseEvent, config: NewLLMConfigPublic | GlobalNewLLMConfig, isGlobal: boolean) => { + e.stopPropagation(); + onEdit(config, isGlobal); + setOpen(false); + }, + [onEdit] + ); + + return ( + + + + + + + + {/* Switching overlay */} + {isSwitching && ( +
          +
          + + Switching model... +
          +
          + )} + +
          + + +
          + + + +
          + +

          No models found

          +

          Try a different search term

          +
          +           + + {/* Global Configs Section */} + {filteredGlobalConfigs.length > 0 && ( + +
          + + Global Models +
          + {filteredGlobalConfigs.map((config) => { + const isSelected = currentConfig?.id === config.id; + return ( + handleSelectConfig(config)} + className={cn( + "mx-2 rounded-lg mb-1 cursor-pointer", + "aria-selected:bg-accent/50", + isSelected && "bg-accent/80" + )} + > +
          +
          +
          {getProviderIcon(config.provider)}
          +
          +
          + {config.name} + {isSelected && } +
          +
          + + {config.model_name} + + {config.citations_enabled && ( + + Citations + + )} +
          +
          +
          + +
          +           + ); + })} +           + )} + + {filteredGlobalConfigs.length > 0 && filteredUserConfigs.length > 0 && ( + + )} + + {/* User Configs Section */} + {filteredUserConfigs.length > 0 && ( + +
          + + Your Configurations +
          + {filteredUserConfigs.map((config) => { + const isSelected = currentConfig?.id === config.id; + return ( + handleSelectConfig(config)} + className={cn( + "mx-2 rounded-lg mb-1 cursor-pointer", + "aria-selected:bg-accent/50", + isSelected && "bg-accent/80" + )} + > +
          +
          +
          {getProviderIcon(config.provider)}
          +
          +
          + {config.name} + {isSelected && } +
          +
          + + {config.model_name} + + {config.citations_enabled && ( + + Citations + + )} +
          +
          +
          + +
          +           + ); + })} +           + )} + + {/* Add New Config Button */} +
          + +
          +           +           +           +           + ); +} diff --git a/surfsense_web/components/onboard/index.ts b/surfsense_web/components/onboard/index.ts deleted file mode 100644 index 607ba4e7d..000000000 --- a/surfsense_web/components/onboard/index.ts +++ /dev/null @@ -1,8 +0,0 @@ -export { OnboardActionCard } from "./onboard-action-card"; -export { OnboardAdvancedSettings } from "./onboard-advanced-settings"; -export { OnboardHeader } from "./onboard-header"; -export { OnboardLLMSetup } from "./onboard-llm-setup"; -export { OnboardLoading } from "./onboard-loading"; -export { OnboardStats } from "./onboard-stats"; -export { SetupLLMStep } from "./setup-llm-step"; -export { SetupPromptStep } from "./setup-prompt-step"; diff --git a/surfsense_web/components/onboard/onboard-action-card.tsx b/surfsense_web/components/onboard/onboard-action-card.tsx deleted file mode 100644 index c6bb41dbf..000000000 --- a/surfsense_web/components/onboard/onboard-action-card.tsx +++ /dev/null @@ -1,114 +0,0 @@ -"use client"; - -import { ArrowRight, CheckCircle, type LucideIcon } from "lucide-react"; -import { motion } from "motion/react"; -import { Button } from "@/components/ui/button"; -import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; -import { cn } from "@/lib/utils"; - -interface OnboardActionCardProps { - title: string; - description: string; - icon: LucideIcon; - features: string[]; - buttonText: string; - onClick: () => void; - colorScheme: "emerald" | "blue" | "violet"; - delay?: number; -} - -const colorSchemes = { - emerald: { - iconBg: "bg-emerald-500/10 dark:bg-emerald-500/20", - iconRing: "ring-emerald-500/20 dark:ring-emerald-500/30", - iconColor: "text-emerald-600 dark:text-emerald-400", - checkColor: "text-emerald-500", - buttonBg: "bg-emerald-600 hover:bg-emerald-500", - hoverBorder: "hover:border-emerald-500/50", - }, - blue: { - iconBg: "bg-blue-500/10 dark:bg-blue-500/20", - iconRing: "ring-blue-500/20 dark:ring-blue-500/30", - iconColor: "text-blue-600 dark:text-blue-400", - checkColor: "text-blue-500", - buttonBg: "bg-blue-600 hover:bg-blue-500", - hoverBorder: "hover:border-blue-500/50", - }, - violet: { - iconBg: "bg-violet-500/10 dark:bg-violet-500/20", - iconRing: "ring-violet-500/20 dark:ring-violet-500/30", - iconColor: "text-violet-600 dark:text-violet-400", - checkColor: "text-violet-500", - buttonBg: "bg-violet-600 hover:bg-violet-500", - hoverBorder: "hover:border-violet-500/50", - }, -}; - -export function OnboardActionCard({ - title, - description, - icon: Icon, - features, - buttonText, - onClick, - colorScheme, - delay = 0, -}: OnboardActionCardProps) { - const colors = colorSchemes[colorScheme]; - - return ( - - - - - - - {title} - {description} - - - -
          - {features.map((feature, index) => ( -
          - - {feature} -
          - ))} -
          - - -           -           -           - ); -} diff --git a/surfsense_web/components/onboard/onboard-advanced-settings.tsx b/surfsense_web/components/onboard/onboard-advanced-settings.tsx deleted file mode 100644 index b2b9c5080..000000000 --- a/surfsense_web/components/onboard/onboard-advanced-settings.tsx +++ /dev/null @@ -1,144 +0,0 @@ -"use client"; - -import { ChevronDown, MessageSquare, Settings2 } from "lucide-react"; -import { AnimatePresence, motion } from "motion/react"; -import { SetupLLMStep } from "@/components/onboard/setup-llm-step"; -import { SetupPromptStep } from "@/components/onboard/setup-prompt-step"; -import { Card, CardContent } from "@/components/ui/card"; -import { Collapsible, CollapsibleContent, CollapsibleTrigger } from "@/components/ui/collapsible"; -import { cn } from "@/lib/utils"; - -interface OnboardAdvancedSettingsProps { - searchSpaceId: number; - showLLMSettings: boolean; - setShowLLMSettings: (show: boolean) => void; - showPromptSettings: boolean; - setShowPromptSettings: (show: boolean) => void; - onConfigCreated: () => void; - onConfigDeleted: () => void; - onPreferencesUpdated: () => Promise; -} - -export function OnboardAdvancedSettings({ - searchSpaceId, - showLLMSettings, - setShowLLMSettings, - showPromptSettings, - setShowPromptSettings, - onConfigCreated, - onConfigDeleted, - onPreferencesUpdated, -}: OnboardAdvancedSettingsProps) { - return ( - - {/* LLM Configuration */} - - - - -
          -
          -
          - -
          -
          -

          LLM Configuration

          -

          - Customize AI models and role assignments -

          -
          -
          - - - -
          -           -           -           - - - - {showLLMSettings && ( - - - - - - - - )} - - -           - - {/* Prompt Configuration */} - - - - -
          -
          -
          - -
          -
          -

          AI Response Settings

          -

          - Configure citations and custom instructions (Optional) -

          -
          -
          - - - -
          -           -           -           - - - - {showPromptSettings && ( - - - - setShowPromptSettings(false)} - /> - - - - )} - - -           -           - ); -} diff --git a/surfsense_web/components/onboard/onboard-header.tsx b/surfsense_web/components/onboard/onboard-header.tsx deleted file mode 100644 index d84bb5adc..000000000 --- a/surfsense_web/components/onboard/onboard-header.tsx +++ /dev/null @@ -1,56 +0,0 @@ -"use client"; - -import { CheckCircle } from "lucide-react"; -import { motion } from "motion/react"; -import { Logo } from "@/components/Logo"; -import { Badge } from "@/components/ui/badge"; - -interface OnboardHeaderProps { - title: string; - subtitle: string; - isReady?: boolean; -} - -export function OnboardHeader({ title, subtitle, isReady }: OnboardHeaderProps) { - return ( - - - - - - -

          {title}

          -

          {subtitle}

          -           - - {isReady && ( - - - - AI Configuration Complete - - - )} -           - ); -} diff --git a/surfsense_web/components/onboard/onboard-llm-setup.tsx b/surfsense_web/components/onboard/onboard-llm-setup.tsx deleted file mode 100644 index b0b2d3fac..000000000 --- a/surfsense_web/components/onboard/onboard-llm-setup.tsx +++ /dev/null @@ -1,93 +0,0 @@ -"use client"; - -import { Bot } from "lucide-react"; -import { motion } from "motion/react"; -import { Logo } from "@/components/Logo"; -import { SetupLLMStep } from "@/components/onboard/setup-llm-step"; -import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; - -interface OnboardLLMSetupProps { - searchSpaceId: number; - title: string; - configTitle: string; - configDescription: string; - onConfigCreated: () => void; - onConfigDeleted: () => void; - onPreferencesUpdated: () => Promise; -} - -export function OnboardLLMSetup({ - searchSpaceId, - title, - configTitle, - configDescription, - onConfigCreated, - onConfigDeleted, - onPreferencesUpdated, -}: OnboardLLMSetupProps) { - return ( -
          - - {/* Header */} -
          - - - - - {title} - - - Configure your AI model to get started - -
          - - {/* LLM Setup Card */} - - - -
          -
          - -
          - {configTitle} -
          - {configDescription} -           - - - -           -           -           -
          - ); -} diff --git a/surfsense_web/components/onboard/onboard-loading.tsx b/surfsense_web/components/onboard/onboard-loading.tsx deleted file mode 100644 index 4a85736d2..000000000 --- a/surfsense_web/components/onboard/onboard-loading.tsx +++ /dev/null @@ -1,47 +0,0 @@ -"use client"; - -import { Wand2 } from "lucide-react"; -import { motion } from "motion/react"; - -interface OnboardLoadingProps { - title: string; - subtitle: string; -} - -export function OnboardLoading({ title, subtitle }: OnboardLoadingProps) { - return ( -
          - -
          - - - -
          -

          {title}

          -

          {subtitle}

          -
          - {[0, 1, 2].map((i) => ( - - ))} -
          -           -
          - ); -} diff --git a/surfsense_web/components/onboard/onboard-stats.tsx b/surfsense_web/components/onboard/onboard-stats.tsx deleted file mode 100644 index 0918c74e2..000000000 --- a/surfsense_web/components/onboard/onboard-stats.tsx +++ /dev/null @@ -1,38 +0,0 @@ -"use client"; - -import { Bot, Brain, Sparkles } from "lucide-react"; -import { motion } from "motion/react"; -import { Badge } from "@/components/ui/badge"; - -interface OnboardStatsProps { - globalConfigsCount: number; - userConfigsCount: number; -} - -export function OnboardStats({ globalConfigsCount, userConfigsCount }: OnboardStatsProps) { - return ( - - {globalConfigsCount > 0 && ( - - - {globalConfigsCount} Global Model{globalConfigsCount > 1 ? "s" : ""} - - )} - {userConfigsCount > 0 && ( - - - {userConfigsCount} Custom Config{userConfigsCount > 1 ? "s" : ""} - - )} - - - All Roles Assigned - - - ); -} diff --git a/surfsense_web/components/onboard/setup-llm-step.tsx b/surfsense_web/components/onboard/setup-llm-step.tsx deleted file mode 100644 index 97555c2f9..000000000 --- a/surfsense_web/components/onboard/setup-llm-step.tsx +++ /dev/null @@ -1,813 +0,0 @@ -"use client"; - -import { useAtomValue } from "jotai"; -import { - AlertCircle, - Bot, - Brain, - Check, - CheckCircle, - ChevronDown, - ChevronsUpDown, - ChevronUp, - Plus, - Trash2, - Zap, -} from "lucide-react"; -import { motion } from "motion/react"; -import { useTranslations } from "next-intl"; -import { useEffect, useState } from "react"; -import { toast } from "sonner"; -import { - createLLMConfigMutationAtom, - deleteLLMConfigMutationAtom, - updateLLMPreferencesMutationAtom, -} from "@/atoms/llm-config/llm-config-mutation.atoms"; -import { - globalLLMConfigsAtom, - llmConfigsAtom, - llmPreferencesAtom, -} from "@/atoms/llm-config/llm-config-query.atoms"; -import { Alert, AlertDescription } from "@/components/ui/alert"; -import { Badge } from "@/components/ui/badge"; -import { Button } from "@/components/ui/button"; -import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; -import { - Command, - CommandEmpty, - CommandGroup, - CommandInput, - CommandItem, - CommandList, -} from "@/components/ui/command"; -import { Input } from "@/components/ui/input"; -import { Label } from "@/components/ui/label"; -import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; -import { - Select, - SelectContent, - SelectItem, - SelectTrigger, - SelectValue, -} from "@/components/ui/select"; -import { Separator } from "@/components/ui/separator"; -import { LANGUAGES } from "@/contracts/enums/languages"; -import { getModelsByProvider } from "@/contracts/enums/llm-models"; -import { LLM_PROVIDERS } from "@/contracts/enums/llm-providers"; -import { type CreateLLMConfigRequest, LLMConfig } from "@/contracts/types/llm-config.types"; -import { cn } from "@/lib/utils"; -import InferenceParamsEditor from "../inference-params-editor"; - -interface SetupLLMStepProps { - searchSpaceId: number; - onConfigCreated?: () => void; - onConfigDeleted?: () => void; - onPreferencesUpdated?: () => Promise; -} - -const ROLE_DESCRIPTIONS = { - long_context: { - icon: Brain, - key: "long_context_llm_id" as const, - titleKey: "long_context_llm_title", - descKey: "long_context_llm_desc", - examplesKey: "long_context_llm_examples", - color: - "bg-blue-100 text-blue-800 border-blue-200 dark:bg-blue-950 dark:text-blue-200 dark:border-blue-800", - }, - fast: { - icon: Zap, - key: "fast_llm_id" as const, - titleKey: "fast_llm_title", - descKey: "fast_llm_desc", - examplesKey: "fast_llm_examples", - color: - "bg-green-100 text-green-800 border-green-200 dark:bg-green-950 dark:text-green-200 dark:border-green-800", - }, - strategic: { - icon: Bot, - key: "strategic_llm_id" as const, - titleKey: "strategic_llm_title", - descKey: "strategic_llm_desc", - examplesKey: "strategic_llm_examples", - color: - "bg-purple-100 text-purple-800 border-purple-200 dark:bg-purple-950 dark:text-purple-200 dark:border-purple-800", - }, -}; - -export function SetupLLMStep({ - searchSpaceId, - onConfigCreated, - onConfigDeleted, - onPreferencesUpdated, -}: SetupLLMStepProps) { - const { mutate: createLLMConfig, isPending: isCreatingLlmConfig } = useAtomValue( - createLLMConfigMutationAtom - ); - const t = useTranslations("onboard"); - const { mutateAsync: deleteLLMConfig } = useAtomValue(deleteLLMConfigMutationAtom); - const { data: llmConfigs = [] } = useAtomValue(llmConfigsAtom); - const { data: globalConfigs = [] } = useAtomValue(globalLLMConfigsAtom); - const { data: preferences = {} } = useAtomValue(llmPreferencesAtom); - const { mutateAsync: updatePreferences } = useAtomValue(updateLLMPreferencesMutationAtom); - - const [isAddingNew, setIsAddingNew] = useState(false); - const [formData, setFormData] = useState({ - name: "", - provider: "" as CreateLLMConfigRequest["provider"], // Allow it as Default - custom_provider: "", - model_name: "", - api_key: "", - api_base: "", - language: "English", - litellm_params: {}, - search_space_id: searchSpaceId, - }); - const [modelComboboxOpen, setModelComboboxOpen] = useState(false); - const [showProviderForm, setShowProviderForm] = useState(false); - - // Role assignments state - const [assignments, setAssignments] = useState({ - long_context_llm_id: preferences.long_context_llm_id || "", - fast_llm_id: preferences.fast_llm_id || "", - strategic_llm_id: preferences.strategic_llm_id || "", - }); - - // Combine global and user-specific configs - const allConfigs = [...globalConfigs, ...llmConfigs]; - - useEffect(() => { - setAssignments({ - long_context_llm_id: preferences.long_context_llm_id || "", - fast_llm_id: preferences.fast_llm_id || "", - strategic_llm_id: preferences.strategic_llm_id || "", - }); - }, [preferences]); - - const handleInputChange = (field: keyof CreateLLMConfigRequest, value: string) => { - setFormData((prev) => ({ ...prev, [field]: value })); - }; - - const handleSubmit = async (e: React.FormEvent) => { - e.preventDefault(); - if (!formData.name || !formData.provider || !formData.model_name || !formData.api_key) { - toast.error("Please fill in all required fields"); - return; - } - - createLLMConfig(formData, { - onError: (error) => { - console.error("Error creating LLM config:", error); - if (error instanceof Error) { - toast.error(error?.message || "Failed to create LLM config"); - } - }, - onSuccess: () => { - toast.success("LLM config created successfully"); - setFormData({ - name: "", - provider: "" as CreateLLMConfigRequest["provider"], - custom_provider: "", - model_name: "", - api_key: "", - api_base: "", - language: "English", - litellm_params: {}, - search_space_id: searchSpaceId, - }); - onConfigCreated?.(); - }, - onSettled: () => { - setIsAddingNew(false); - }, - }); - }; - - const handleRoleAssignment = async (role: string, configId: string) => { - const newAssignments = { - ...assignments, - [role]: configId === "" ? "" : parseInt(configId), - }; - - setAssignments(newAssignments); - - // Auto-save if this assignment completes all roles - const hasAllAssignments = - newAssignments.long_context_llm_id && - newAssignments.fast_llm_id && - newAssignments.strategic_llm_id; - - if (hasAllAssignments) { - const numericAssignments = { - long_context_llm_id: - typeof newAssignments.long_context_llm_id === "string" - ? parseInt(newAssignments.long_context_llm_id) - : newAssignments.long_context_llm_id, - fast_llm_id: - typeof newAssignments.fast_llm_id === "string" - ? parseInt(newAssignments.fast_llm_id) - : newAssignments.fast_llm_id, - strategic_llm_id: - typeof newAssignments.strategic_llm_id === "string" - ? parseInt(newAssignments.strategic_llm_id) - : newAssignments.strategic_llm_id, - }; - - await updatePreferences({ - search_space_id: searchSpaceId, - data: numericAssignments, - }); - - if (onPreferencesUpdated) { - await onPreferencesUpdated(); - } - } - }; - - const selectedProvider = LLM_PROVIDERS.find((p) => p.value === formData.provider); - const availableModels = formData.provider ? getModelsByProvider(formData.provider) : []; - - const handleParamsChange = (newParams: Record) => { - setFormData((prev) => ({ ...prev, litellm_params: newParams })); - }; - - const handleProviderChange = (value: string) => { - handleInputChange("provider", value); - setFormData((prev) => ({ ...prev, model_name: "" })); - }; - - const isAssignmentComplete = - assignments.long_context_llm_id && assignments.fast_llm_id && assignments.strategic_llm_id; - - return ( -
          - {/* Global Configs Notice - Prominent at top */} - {globalConfigs.length > 0 && ( - - - -
          -

          - {globalConfigs.length} global configuration(s) available! -

          -

          - You can skip adding your own LLM provider and use our pre-configured models in the - role assignment section below. -

          -

          - Or expand "Add LLM Provider" to add your own custom configurations. -

          -
          -           -           - )} - - {/* Section 1: Add LLM Providers */} -
          -
          -
          -

          - - {t("add_llm_provider")} -

          -

          {t("configure_first_provider")}

          -
          - -
          - - {showProviderForm && ( - - {/* Info Alert */} - - - {t("add_provider_instruction")} - - - {/* Existing Configurations */} - {llmConfigs.length > 0 && ( -
          -

          - {t("your_llm_configs")} -

          -
          - {llmConfigs.map((config) => ( - - - -
          -
          -
          - -

          {config.name}

          - - {config.provider} - -
          -

          - {t("model")}: {config.model_name} - {config.language && ` • ${t("language")}: ${config.language}`} - {config.api_base && ` • ${t("base")}: ${config.api_base}`} -

          -
          - -
          -           -           -           - ))} -
          -
          - )} - - {/* Add New Provider */} - {!isAddingNew ? ( - - - -

          {t("add_provider_title")}

          -

          - {t("add_provider_subtitle")} -

          - -           -           - ) : ( - - - {t("add_new_llm_provider")} - {t("configure_new_provider")} - - -
          -
          -
          - - handleInputChange("name", e.target.value)} - required - /> -
          - -
          - - -
          - -
          - - -
          -
          - - {formData.provider === "CUSTOM" && ( -
          - - handleInputChange("custom_provider", e.target.value)} - required - /> -
          - )} - -
          - - - - - - - - handleInputChange("model_name", value)} - /> - - -
          - {formData.model_name - ? `Using custom model: "${formData.model_name}"` - : "Type your model name above"} -
          -           - {availableModels.length > 0 && ( - - {availableModels - .filter( - (model) => - !formData.model_name || - model.value - .toLowerCase() - .includes(formData.model_name.toLowerCase()) || - model.label - .toLowerCase() - .includes(formData.model_name.toLowerCase()) - ) - .map((model) => ( - { - handleInputChange("model_name", currentValue); - setModelComboboxOpen(false); - }} - className="flex flex-col items-start py-3" - > -
          - -
          -
          {model.label}
          - {model.contextWindow && ( -
          - Context: {model.contextWindow} -
          - )} -
          -
          -           - ))} -           - )} -           -           -           -           -

          - {availableModels.length > 0 - ? `Type freely or select from ${availableModels.length} model suggestions` - : selectedProvider?.example - ? `${t("examples")}: ${selectedProvider.example}` - : "Type your model name freely"} -

          -
          - -
          - - handleInputChange("api_key", e.target.value)} - required - /> - {formData.provider === "OLLAMA" && ( -

          - 💡 Ollama doesn't require authentication — enter any value (e.g., - "ollama") -

          - )} -
          - -
          - - handleInputChange("api_base", e.target.value)} - /> - {/* Ollama-specific help */} - {formData.provider === "OLLAMA" && ( -
          -

          - 💡 Ollama API Base URL Examples: -

          -
          - - -
          -
          - )} -
          - -
          - -
          - -
          - - -
          -
          -           -           - )} -           - )} -
          - - - - {/* Section 2: Assign Roles */} -
          -
          -

          - - {t("assign_llm_roles")} -

          -

          {t("assign_specific_roles")}

          -
          - - {allConfigs.length === 0 ? ( - - - {t("add_provider_before_roles")} - - ) : ( -
          - - - {t("assign_roles_instruction")} - - -
          - {Object.entries(ROLE_DESCRIPTIONS).map(([roleKey, role]) => { - const IconComponent = role.icon; - const currentAssignment = assignments[role.key]; - const assignedConfig = allConfigs.find((config) => config.id === currentAssignment); - - return ( - - - -
          -
          -
          - -
          -
          - {t(role.titleKey)} - - {t(role.descKey)} - -
          -
          - {currentAssignment && } -
          -           - -
          - - -
          - - {assignedConfig && ( -
          -
          - - {t("assigned")}: - {"is_global" in assignedConfig && assignedConfig.is_global && ( - - 🌐 Global - - )} - - {assignedConfig.provider} - - {assignedConfig.name} -
          -
          - {t("model")}: {assignedConfig.model_name} -
          -
          - )} -           -           -           - ); - })} -
          - - {/* Status Indicators */} -
          -
          - {t("progress")}: -
          - {Object.keys(ROLE_DESCRIPTIONS).map((key) => { - const roleKey = ROLE_DESCRIPTIONS[key as keyof typeof ROLE_DESCRIPTIONS].key; - return ( -
          - ); - })} -
          - - {t("roles_assigned", { - assigned: Object.values(assignments).filter(Boolean).length, - total: Object.keys(ROLE_DESCRIPTIONS).length, - })} - -
          - - {isAssignmentComplete && ( -
          - - {t("all_roles_assigned_saved")} -
          - )} -
          -
          - )} -
          -
          - ); -} diff --git a/surfsense_web/components/onboard/setup-prompt-step.tsx b/surfsense_web/components/onboard/setup-prompt-step.tsx deleted file mode 100644 index b53e49700..000000000 --- a/surfsense_web/components/onboard/setup-prompt-step.tsx +++ /dev/null @@ -1,340 +0,0 @@ -"use client"; - -import { useAtomValue } from "jotai"; -import { ChevronDown, ChevronUp, ExternalLink, Info, Sparkles, User } from "lucide-react"; -import { useEffect, useState } from "react"; -import { toast } from "sonner"; -import { communityPromptsAtom } from "@/atoms/search-spaces/search-space-query.atoms"; -import { Alert, AlertDescription } from "@/components/ui/alert"; -import { Badge } from "@/components/ui/badge"; -import { Button } from "@/components/ui/button"; -import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; -import { Label } from "@/components/ui/label"; -import { ScrollArea } from "@/components/ui/scroll-area"; -import { Switch } from "@/components/ui/switch"; -import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs"; -import { Textarea } from "@/components/ui/textarea"; -import { authenticatedFetch } from "@/lib/auth-utils"; - -interface SetupPromptStepProps { - searchSpaceId: number; - onComplete?: () => void; -} - -export function SetupPromptStep({ searchSpaceId, onComplete }: SetupPromptStepProps) { - const { data: prompts = [], isPending: loadingPrompts } = useAtomValue(communityPromptsAtom); - const [enableCitations, setEnableCitations] = useState(true); - const [customInstructions, setCustomInstructions] = useState(""); - const [saving, setSaving] = useState(false); - const [hasChanges, setHasChanges] = useState(false); - const [selectedPromptKey, setSelectedPromptKey] = useState(null); - const [expandedPrompts, setExpandedPrompts] = useState>(new Set()); - const [selectedCategory, setSelectedCategory] = useState("all"); - - // Mark that we have changes when user modifies anything - useEffect(() => { - setHasChanges(true); - }, [enableCitations, customInstructions]); - - const handleSelectCommunityPrompt = (promptKey: string, promptValue: string) => { - setCustomInstructions(promptValue); - setSelectedPromptKey(promptKey); - toast.success("Community prompt applied"); - }; - - const toggleExpand = (promptKey: string) => { - const newExpanded = new Set(expandedPrompts); - if (newExpanded.has(promptKey)) { - newExpanded.delete(promptKey); - } else { - newExpanded.add(promptKey); - } - setExpandedPrompts(newExpanded); - }; - - // Get unique categories - const categories = Array.from(new Set(prompts.map((p) => p.category || "general"))); - const filteredPrompts = - selectedCategory === "all" - ? prompts - : prompts.filter((p) => (p.category || "general") === selectedCategory); - - const truncateText = (text: string, maxLength: number = 150) => { - if (text.length <= maxLength) return text; - return text.substring(0, maxLength) + "..."; - }; - - const handleSave = async () => { - try { - setSaving(true); - - // Prepare the update payload with simplified schema - const payload: any = { - citations_enabled: enableCitations, - qna_custom_instructions: customInstructions.trim() || "", - }; - - // Only send update if there's something to update - if (Object.keys(payload).length > 0) { - const response = await authenticatedFetch( - `${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/searchspaces/${searchSpaceId}`, - { - method: "PUT", - headers: { "Content-Type": "application/json" }, - body: JSON.stringify(payload), - } - ); - - if (!response.ok) { - const errorData = await response.json().catch(() => ({})); - throw new Error( - errorData.detail || `Failed to save prompt configuration (${response.status})` - ); - } - - toast.success("Prompt configuration saved successfully"); - } - - setHasChanges(false); - onComplete?.(); - } catch (error: any) { - console.error("Error saving prompt configuration:", error); - toast.error(error.message || "Failed to save prompt configuration"); - } finally { - setSaving(false); - } - }; - - const handleSkip = () => { - // Skip without saving - use defaults - onComplete?.(); - }; - - return ( -
          - - - - These settings are optional. You can skip this step and configure them later in settings. - - - - {/* Citation Toggle */} -
          -
          -
          - -

          - When enabled, AI responses will include citations to source documents using - [citation:id] format. -

          -
          - -
          - - {!enableCitations && ( - - - - Disabling citations means AI responses won't include source references. You can - re-enable this anytime in settings. - - - )} -
          - - {/* SearchSpace System Instructions */} -
          -
          - -

          - Add system instructions to guide how the AI should respond. Choose from community - prompts below or write your own. -

          - - {/* Community Prompts Section */} - {!loadingPrompts && prompts.length > 0 && ( - - - - - Community Prompts Library - - - Browse {prompts.length} curated prompts. Click to preview or apply directly - - - - - - - All ({prompts.length}) - - {categories.map((category) => ( - - {category} ( - {prompts.filter((p) => (p.category || "general") === category).length}) - - ))} - - - -
          - {filteredPrompts.map((prompt) => { - const isExpanded = expandedPrompts.has(prompt.key); - const isSelected = selectedPromptKey === prompt.key; - const displayText = isExpanded - ? prompt.value - : truncateText(prompt.value, 120); - - return ( -
          -
          -
          - - {prompt.key.replace(/_/g, " ")} - - {prompt.category && ( - - {prompt.category} - - )} - {isSelected && ( - - ✓ Selected - - )} -
          - {prompt.link && ( - - - - )} -
          - -

          - {displayText} -

          - -
          -
          - - {prompt.author} -
          - -
          - {prompt.value.length > 120 && ( - - )} - -
          -
          -
          - ); - })} -
          -           -           -           -           - )} - -