fix(cli): resolve embedding provider explicitly and surface lane status in sl search (#192)

* feat(cli): add tryUseManagedLocalEmbeddingsDaemon for read-only callers

* feat(cli): add resolveProjectEmbeddingProvider helper

* fix(cli): wire sl search through resolveProjectEmbeddingProvider so semantic lane works

* fix(cli): wire wiki/knowledge search through resolveProjectEmbeddingProvider

* feat(cli): surface embeddings-unavailable status when sl search returns empty

* refactor(cli): route admin reindex through resolveProjectEmbeddingProvider

* refactor: pass embeddingProvider into ingest/scan instead of resolving inside @ktx/context

* refactor(mcp): resolve embedding provider in CLI factory, pass into context ports

* refactor(context): delete MANAGED_SENTENCE_TRANSFORMERS_BASE_URL sentinel

* refactor(cli): delete sentinel-based managed-embeddings indirection

* chore: scrub stale managed-embeddings sentinel references from tests and smoke script

* chore: unexport unused EmbeddingResolutionMode alias

* fix(cli): force pathPrefix="" when targeting the managed embeddings daemon

The managed daemon serves /embeddings/compute directly. The default
pathPrefix in @ktx/llm is /api, so omitting sentenceTransformers from
ktx.yaml produced /api/embeddings/compute -> 404. The resolver now
sets pathPrefix='' explicitly when wiring the managed daemon URL,
matching what the daemon actually exposes.
This commit is contained in:
Andrey Avtomonov 2026-05-21 02:21:22 +02:00 committed by GitHub
parent 56a967278a
commit 9d92c79988
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
36 changed files with 750 additions and 442 deletions

View file

@ -1,20 +1,20 @@
import {
createLocalKtxEmbeddingProviderFromConfig,
KtxIngestEmbeddingPortAdapter,
type KtxEmbeddingPort,
} from '@ktx/context';
import { KtxIngestEmbeddingPortAdapter, type KtxEmbeddingPort } from '@ktx/context';
import { loadKtxProject } from '@ktx/context/project';
import {
type LocalKnowledgeSearchResult,
type LocalKnowledgeSummary,
listLocalKnowledgePages,
searchLocalKnowledgePages,
searchLocalKnowledgePages as defaultSearchLocalKnowledgePages,
} from '@ktx/context/wiki';
import {
resolveProjectEmbeddingProvider,
type EmbeddingProviderResolution,
} from './embedding-resolution.js';
import { resolveOutputMode } from './io/mode.js';
import { createRankBadgeFormatter, printList, type PrintListColumn } from './io/print-list.js';
export type KtxKnowledgeArgs =
| { command: 'list'; projectDir: string; userId: string; output?: string; json?: boolean }
| { command: 'list'; projectDir: string; userId: string; output?: string; json?: boolean; cliVersion: string }
| {
command: 'search';
projectDir: string;
@ -24,6 +24,7 @@ export type KtxKnowledgeArgs =
json?: boolean;
limit?: number;
debug?: boolean;
cliVersion: string;
};
type KtxKnowledgeIo = import('./cli-runtime.js').KtxCliIo;
@ -54,20 +55,36 @@ function wikiSearchColumns(
interface KtxKnowledgeDeps {
embeddingService?: KtxEmbeddingPort | null;
createEmbeddingProvider?: typeof createLocalKtxEmbeddingProviderFromConfig;
resolveEmbeddingProvider?: typeof resolveProjectEmbeddingProvider;
searchLocalKnowledgePages?: typeof defaultSearchLocalKnowledgePages;
}
function wikiSearchEmbeddingService(
function resolutionToEmbeddingPort(resolution: EmbeddingProviderResolution): KtxEmbeddingPort | null {
if (
resolution.kind === 'configured' ||
resolution.kind === 'managed-running' ||
resolution.kind === 'managed-started'
) {
return new KtxIngestEmbeddingPortAdapter(resolution.provider);
}
return null;
}
async function wikiSearchEmbeddingService(
project: Awaited<ReturnType<typeof loadKtxProject>>,
deps: KtxKnowledgeDeps,
): KtxEmbeddingPort | null {
args: { cliVersion: string },
io: KtxKnowledgeIo,
): Promise<KtxEmbeddingPort | null> {
if ('embeddingService' in deps) {
return deps.embeddingService ?? null;
}
const provider = (deps.createEmbeddingProvider ?? createLocalKtxEmbeddingProviderFromConfig)(
project.config.ingest.embeddings,
);
return provider ? new KtxIngestEmbeddingPortAdapter(provider) : null;
const resolution = await (deps.resolveEmbeddingProvider ?? resolveProjectEmbeddingProvider)(project, {
mode: 'use-if-running',
cliVersion: args.cliVersion,
io,
});
return resolutionToEmbeddingPort(resolution);
}
function writeWikiSearchDebug(
@ -114,8 +131,9 @@ export async function runKtxKnowledge(
return 0;
}
if (args.command === 'search') {
const embeddingService = wikiSearchEmbeddingService(project, deps);
const results = await searchLocalKnowledgePages(project, {
const embeddingService = await wikiSearchEmbeddingService(project, deps, { cliVersion: args.cliVersion }, io);
const search = deps.searchLocalKnowledgePages ?? defaultSearchLocalKnowledgePages;
const results = await search(project, {
query: args.query,
userId: args.userId,
embeddingService,