mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-09-02 15:47:16 +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.
63 lines
1.7 KiB
Markdown
63 lines
1.7 KiB
Markdown
# OAuth Browser Profile
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Use this reference when LangBot or LangBot Space needs GitHub OAuth login and the agent must reuse the authenticated browser state later.
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Read `skills/.env` first for `LANGBOT_BACKEND_URL`, `LANGBOT_FRONTEND_URL`, `LANGBOT_BROWSER_PROFILE`, `LANGBOT_CHROMIUM_EXECUTABLE`, and proxy defaults.
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## Rules
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- Never handle the user's GitHub password, passkey, recovery code, or 2FA secret.
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- Open a visible browser and let the user complete credential steps.
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- Reuse a fixed browser profile path.
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- Do not print token values. It is acceptable to report localStorage key names.
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## Manual Visible Login Flow
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1. Verify LangBot backend is reachable with `service-startup.md`.
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2. Launch a visible Chromium window with the persistent profile:
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```bash
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setsid "$LANGBOT_CHROMIUM_EXECUTABLE" \
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--no-sandbox \
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--ozone-platform=x11 \
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--user-data-dir="$LANGBOT_BROWSER_PROFILE" \
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--proxy-server="$LANGBOT_PROXY_SOCKS" \
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--proxy-bypass-list="$LANGBOT_NO_PROXY" \
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"$LANGBOT_BACKEND_URL/login" \
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>/tmp/langbot-visible-chrome.log 2>&1 < /dev/null &
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```
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3. The user completes:
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```text
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Login with Space -> Login with GitHub -> GitHub credentials / 2FA -> authorize
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```
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4. The agent can then reuse the same profile for automated checks.
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## Expected Successful State
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After login, LangBot should redirect away from `/login`, for example to a `/home/...` URL on the selected origin.
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Expected visible signals:
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```text
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LangBot
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Dashboard
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Home
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Bots
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Pipelines
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Knowledge
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Extensions
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```
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Expected localStorage key names:
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```text
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token
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userEmail
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langbot_language
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```
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If the user logged in on one origin but `LANGBOT_FRONTEND_URL` still shows `/login`, copy only the auth state needed between origins. Do not print token values.
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