mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-08-09 12:40:59 +00:00
Junyan Chin
e9dd584792
* 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.
47 lines
2.0 KiB
Bash
47 lines
2.0 KiB
Bash
# Shared defaults for LangBot skills.
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# Agents should read this file first, then load machine-local overrides from
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# skills/.env.local. Do not put workstation-specific absolute paths or secrets
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# in this committed file.
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# The UI URL that testing skills should open.
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# Default to the standalone Vite frontend. Set this to the backend WebUI URL
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# instead if your LangBot checkout serves the frontend from the backend.
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LANGBOT_FRONTEND_URL=http://127.0.0.1:3000
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# LangBot API/backend URL.
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LANGBOT_BACKEND_URL=http://127.0.0.1:5300
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# Common standalone frontend dev URL. This is a candidate, not the default.
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LANGBOT_DEV_FRONTEND_URL=http://127.0.0.1:3000
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# Local repository paths. Copy skills/.env.example to skills/.env.local and set
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# these for your checkout.
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LANGBOT_REPO=
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LANGBOT_WEB_REPO=
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LANGBOT_RAG_PLUGIN_REPO=
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LANGBOT_PARSER_PLUGIN_REPO=
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# Browser profile and Playwright/Chromium paths.
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LANGBOT_BROWSER_PROFILE=
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LANGBOT_CHROMIUM_EXECUTABLE=
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# Optional local proxy defaults. Do not store secrets here.
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LANGBOT_PROXY_HTTP=
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LANGBOT_PROXY_SOCKS=
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LANGBOT_NO_PROXY=localhost,127.0.0.1,::1
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# Optional case-specific pipeline targets. Put machine-local values in
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# skills/.env.local so runner-specific cases do not accidentally reuse the
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# generic LANGBOT_PIPELINE_URL.
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# LANGBOT_PIPELINE_URL=http://127.0.0.1:3000/home/pipelines?id=<generic-pipeline-uuid>
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# LANGBOT_PIPELINE_NAME=Generic QA Pipeline
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# LANGBOT_LOCAL_AGENT_PIPELINE_URL=http://127.0.0.1:3000/home/pipelines?id=<local-agent-pipeline-uuid>
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# LANGBOT_LOCAL_AGENT_PIPELINE_NAME=Local Agent QA Pipeline
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# LANGBOT_ACP_AGENT_RUNNER_PIPELINE_URL=http://127.0.0.1:3000/home/pipelines?id=<acp-agent-runner-pipeline-uuid>
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# LANGBOT_ACP_AGENT_RUNNER_PIPELINE_NAME=ACP AgentRunner QA Pipeline
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# LANGBOT_ACP_AGENT_RUNNER_SSH_TARGET=yhh@101.34.71.12
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# LANGBOT_ACP_AGENT_RUNNER_SSH_PORT=22
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# LANGBOT_ACP_AGENT_RUNNER_SSH_IDENTITY_FILE=
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# LANGBOT_ACP_AGENT_RUNNER_SSH_EXTRA_OPTIONS=
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# LANGBOT_ACP_AGENT_RUNNER_REMOTE_WORKSPACE=/home/yhh/langbot-e2e/acp-workspace
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