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* feat(api): support global API key from config.yaml (api.global_api_key) Accept a config-defined global API key anywhere a web-UI key is accepted (X-API-Key / Bearer), with no login session and no DB record. Useful for automated deployments and AI agents (HTTP API + MCP). Defaults to empty (disabled); does not require the lbk_ prefix. - templates/config.yaml: add api.global_api_key with security notes - service/apikey.py: verify_api_key checks global key first (constant-time) - docs/API_KEY_AUTH.md: document the global key + security guidance - tests: cover global-key match, prefix-free, fallback-to-db, disabled * feat(mcp): expose LangBot management as an MCP server at /mcp Add an MCP (Model Context Protocol) server so external AI agents can manage a LangBot instance. Reuses the same API-key auth as the HTTP API (including the config.yaml global API key). - pkg/api/mcp/server.py: FastMCP server wrapping the service layer; 21 curated tools across system/bots/pipelines/models/knowledge/mcp-servers/skills - pkg/api/mcp/mount.py: ASGI dispatcher fronting Quart; authenticates /mcp requests with an API key, runs the streamable-HTTP session manager lifespan - controller/main.py: serve the wrapped ASGI app via hypercorn (was run_task) - web: new 'MCP' tab in the API integration dialog showing endpoint, auth, and client config; i18n for 8 locales - tests/manual/mcp_smoke.py: e2e check (401 unauth, list tools, call tools) Tool surface is intentionally curated (not all ~25 route groups) to keep the agent surface small, safe, and maintainable. Extend deliberately. * feat(skills): add in-repo skills/ as the single source of truth Migrate the agent skills + QA/e2e test harness from the (now archived) langbot-app/langbot-skills repo into LangBot/skills/, and add four new skills. Migrated: - langbot-plugin-dev, langbot-testing (e2e), langbot-env-setup, langbot-skills-maintenance, langbot-eba-adapter-dev - the bin/lbs CLI (src/, test/, scripts/, schemas/, qa-agent-docs/) New: - langbot-dev core backend + web development - langbot-deploy Docker/K8s deployment + config.yaml + global API key - langbot-mcp-ops operating the LangBot MCP server (/mcp) - langbot-space-ops operating the Space marketplace MCP server - src/cli.ts repoRoot(): recognize the skills assets root (skills.index.json + bin/lbs) so the CLI works when nested inside the LangBot repo - README.md: unified skill catalog; skills.index.json regenerated Parity with source verified: bin/lbs validate + node test suite match the source repo (only the uncommitted .lbpkg build-artifact fixture differs). * docs(agents): document agent-facing surfaces + API/MCP/skills sync rule * docs(readme): add 'Built for AI Agents' section across all locales Highlight MCP server, in-repo skills (single source of truth), AGENTS.md sync rule, and llms.txt. Cross-link LangBot Space MCP marketplace. * style(mcp): fix ruff format + prettier lint in MCP server and API panel * style(web): prettier format MCP i18n locale entries * docs(skills): note MCP instance control in dev/testing skills All development-guidance skills now point to the LangBot instance MCP server (/mcp) and the Space marketplace MCP server, reusing API keys.
55 lines
2.7 KiB
Markdown
55 lines
2.7 KiB
Markdown
# LangBot Skills
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This directory is the **single source of truth** for LangBot's agent skills —
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reusable, on-demand instruction packs for AI agents (Claude Code, Codex, Cursor,
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and LangBot's own Local Agent) working with the LangBot ecosystem.
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> These skills were consolidated here from the former `langbot-app/langbot-skills`
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> repository (now archived). Documentation and the landing page link here; do not
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> re-copy skill content elsewhere — link to this directory instead.
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## Skill catalog
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| Skill | What it covers |
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| --- | --- |
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| [`langbot-dev`](skills/langbot-dev) | Core backend + web frontend development (Quart, Vite, API, migrations, MCP server) |
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| [`langbot-plugin-dev`](skills/langbot-plugin-dev) | Plugin SDK / component development, debugging, WebSocket testing |
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| [`langbot-deploy`](skills/langbot-deploy) | Docker / Compose / Kubernetes deployment, config.yaml, Box runtime, global API key |
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| [`langbot-testing`](skills/langbot-testing) | WebUI / e2e QA harness, cases, fixtures, troubleshooting (the `bin/lbs` CLI) |
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| [`langbot-env-setup`](skills/langbot-env-setup) | Local dev/test environment, browser access, OAuth, proxy, startup |
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| [`langbot-mcp-ops`](skills/langbot-mcp-ops) | Operating a LangBot instance through its MCP server (`/mcp`) |
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| [`langbot-space-ops`](skills/langbot-space-ops) | Browsing the LangBot Space marketplaces through the Space MCP server |
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| [`langbot-eba-adapter-dev`](skills/langbot-eba-adapter-dev) | Building platform adapters for the Event-Based Agents architecture |
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| [`langbot-skills-maintenance`](skills/langbot-skills-maintenance) | Adding, deduplicating, and auditing skills in this directory |
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`skills.index.json` is the machine-readable index (regenerate with `bin/lbs index`).
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## Quick start (for an AI agent)
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1. Read this README, `AGENTS.md`, and `qa-agent-docs/` to understand the layout.
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2. Read `skills/.env` for shared local defaults. On a new machine, copy
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`skills/.env.example` to `skills/.env.local` (gitignored) and override
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machine-specific values there. Never commit secrets.
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3. Pick the smallest relevant skill from the catalog above and follow its
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`SKILL.md`.
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## The `lbs` CLI
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The testing assets ship with a small CLI (`bin/lbs`, Node ≥ 22.6):
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```bash
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bin/lbs validate # validate skills/cases/troubleshooting structure
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bin/lbs index # regenerate skills.index.json
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bin/lbs env show # inspect resolved env defaults (redacted)
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bin/lbs env doctor # diagnose local environment readiness
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bin/lbs case list --ready
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bin/lbs test plan <case-id>
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```
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## Maintenance rule
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When the LangBot / LangBot Space **API or MCP server changes**, the
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corresponding skill here MUST be updated in the same change. The MCP tool
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surface, the API, and these skills are kept in lockstep — see each repo's
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`AGENTS.md`.
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