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feat: add claude-code llm backend with runtime port (#115)

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* docs: revise claude-code ingest backend spec

* docs: keep claude-code spec focused on ingest

* docs: expand claude-code spec to full llm parity

* Refine claude-code backend spec after adversarial review iteration 1

* Refine claude-code backend spec after adversarial review iteration 2

* Refine claude-code backend spec after adversarial review iteration 3

* feat: recognize claude-code llm backend

* feat: add ktx llm runtime port

* feat: add claude-code llm runtime

* feat: route non-agent llm calls through runtime

* feat: run ingest agents through llm runtime

* feat: support claude-code setup and status

* test: verify claude-code backend runtime

* docs: add claude-code backend v1 runtime plan

* fix: close claude-code runtime isolation checks

* fix: warn on claude-code prompt caching during setup

* chore: verify claude-code v1 closure

* docs: add claude-code backend v1 isolation closure plan

* fix: update claude-code ingest setup guidance

* docs: add claude-code backend v1 ingest guidance closure plan

* docs: align claude-code isolation spec with sdk metadata

* test: cover claude-code host discovery metadata

* fix: tolerate claude-code host discovery metadata

* docs: clarify claude-code host discovery metadata

* docs: add claude-code auth-probe isolation fix plan

* chore: prepare kaelio ktx rc1 release

* chore: add semantic release workflow

* fix: unblock ci checks

* chore(release): 0.1.0-rc.1

* feat: add Claude Code model selection to setup

* fix: keep git maintenance attached in local repos
This commit is contained in:
Andrey Avtomonov 2026-05-16 12:06:34 +02:00 • committed by GitHub
parent e6d578c03f
commit b565e44a22
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109 changed files with 10218 additions and 1093 deletions
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32
packages/context/src/memory/local-memory.ts
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@ -1,13 +1,17 @@
import { join } from 'node:path';
import { fileURLToPath } from 'node:url';
import type { KtxLlmProvider } from '@ktx/llm';
import YAML from 'yaml';
import { AgentRunnerService } from '../agent/index.js';
import { localConnectionInfoFromConfig } from '../connections/index.js';
import type { KtxEmbeddingPort, KtxFileStorePort, KtxFileWriteResult } from '../core/index.js';
import { type KtxLogger, noopLogger, SessionWorktreeService } from '../core/index.js';
import type { KtxSemanticLayerComputePort } from '../daemon/index.js';
import { createLocalKtxLlmProviderFromConfig } from '../llm/index.js';
import {
createLocalKtxLlmRuntimeFromConfig,
RuntimeAgentRunner,
type AgentRunnerPort,
type KtxLlmRuntimePort,
type KtxRuntimeToolSet,
} from '../llm/index.js';
import type { KtxLocalProject } from '../project/index.js';
import { PromptService } from '../prompts/index.js';
import { SkillsRegistryService } from '../skills/index.js';
@ -63,8 +67,8 @@ const LOCAL_AUTHOR = { name: 'KTX Local', email: 'local@ktx.local' };
const LOCAL_SHAPE_WARNING = 'Local memory ingest validates semantic-layer YAML shape only.';
export interface CreateLocalProjectMemoryIngestOptions {
llmProvider?: KtxLlmProvider;
agentRunner?: AgentRunnerService;
llmRuntime?: KtxLlmRuntimePort;
agentRunner?: AgentRunnerPort;
memoryModel?: string;
semanticLayerCompute?: KtxSemanticLayerComputePort;
queryExecutor?: { execute(input: { connectionId: string; sql: string; maxRows?: number }): Promise<KtxQueryResult> };
@ -89,7 +93,8 @@ export function createLocalProjectMemoryIngest(
const slSearchService = new SlSearchService(embedding, slSourcesRepository, logger);
const wikiService = new KnowledgeWikiService(rootFileStore, embedding, knowledgeIndex, project.git, logger);
const authorResolver = new LocalAuthorResolver();
const llmProvider = options.llmProvider ?? createLocalKtxLlmProviderFromConfig(project.config.llm);
const llmRuntime =
options.llmRuntime ?? createLocalKtxLlmRuntimeFromConfig(project.config.llm, { projectDir: project.projectDir });
const toolsetFactory = new LocalMemoryToolsetFactory({
project,
embedding,
@ -104,10 +109,7 @@ export function createLocalProjectMemoryIngest(
});
const agentRunner =
options.agentRunner ??
new AgentRunnerService({
llmProvider: requireLlmProvider(llmProvider),
logger,
});
new RuntimeAgentRunner(requireLlmRuntime(llmRuntime));
const memoryAgent = new MemoryAgentService({
settings: {
knowledge: { userScopedKnowledgeEnabled: false },
@ -143,11 +145,11 @@ export function createLocalProjectMemoryIngest(
});
}
function requireLlmProvider(provider: KtxLlmProvider | null | undefined): KtxLlmProvider {
if (!provider) {
function requireLlmRuntime(runtime: KtxLlmRuntimePort | null | undefined): KtxLlmRuntimePort {
if (!runtime) {
throw new Error('createLocalProjectMemoryIngest requires llm.provider.backend or an injected agentRunner');
}
return provider;
return runtime;
}
class LocalMemoryFileStore implements MemoryFileStorePort {
@ -386,8 +388,8 @@ class LocalShapeOnlySlValidator implements SlValidatorPort<SlValidationDeps> {
class LocalMemoryToolSet implements MemoryToolSetLike {
constructor(private readonly tools: BaseTool[]) {}
toAiSdkTools(context: ToolContext) {
return Object.fromEntries(this.tools.map((tool) => [tool.name, tool.toAiSdkTool(context)]));
toRuntimeTools(context: ToolContext): KtxRuntimeToolSet {
return Object.fromEntries(this.tools.map((tool) => [tool.name, tool.toRuntimeTool(context)]));
}
}