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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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21
packages/context/src/memory/memory-agent.service.ts
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@ -1,10 +1,10 @@
import { createHash } from 'node:crypto';
import { readFile } from 'node:fs/promises';
import { join } from 'node:path';
import { tool } from 'ai';
import * as YAML from 'yaml';
import { z } from 'zod';
import { type KtxLogger, noopLogger } from '../core/index.js';
import type { KtxRuntimeToolSet } from '../llm/index.js';
import {
revertSourceToPreHead,
type SemanticLayerSource,
@ -125,8 +125,9 @@ export class MemoryAgentService {
session: toolSession,
};
const loadSkillTool = {
load_skill: tool({
const loadSkillTool: KtxRuntimeToolSet = {
load_skill: {
name: 'load_skill',
description:
'Load a skill to get specialized instructions. Call this when a skill listed in the system prompt matches the current task.',
inputSchema: z.object({
@ -137,23 +138,27 @@ export class MemoryAgentService {
if (!skill) {
const available =
(await this.deps.skillsRegistry.listSkills('memory_agent')).map((s) => s.name).join(', ') || '(none)';
return `Skill "${name}" not available to the memory agent. Available: ${available}`;
return { markdown: `Skill "${name}" not available to the memory agent. Available: ${available}` };
}
try {
const body = await readFile(join(skill.path, 'SKILL.md'), 'utf-8');
if (!skillsLoaded.includes(skill.name)) {
skillsLoaded.push(skill.name);
}
return {
const structured = {
name: skill.name,
skillDirectory: skill.path,
content: this.deps.skillsRegistry.stripFrontmatter(body),
};
return {
markdown: `# ${structured.name}\n\n${structured.content}`,
structured,
};
} catch (e) {
return `Error loading skill "${name}": ${e instanceof Error ? e.message : String(e)}`;
return { markdown: `Error loading skill "${name}": ${e instanceof Error ? e.message : String(e)}` };
}
},
}),
},
};
const skillNames: string[] = [...DEFAULT_SKILL_NAMES];
@ -212,7 +217,7 @@ export class MemoryAgentService {
modelRole: 'candidateExtraction',
systemPrompt,
userPrompt: prompt,
toolSet: { ...toolset.toAiSdkTools(toolContext), ...loadSkillTool },
toolSet: { ...toolset.toRuntimeTools(toolContext), ...loadSkillTool },
stepBudget,
telemetryTags: {
operationName: 'memory-agent-ingest',