mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-08-31 22:57:14 +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.
43 lines
1.5 KiB
YAML
43 lines
1.5 KiB
YAML
id: provider-deepseek
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title: "DeepSeek provider can be configured and used"
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mode: agent-browser
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area: provider
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type: provider
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priority: p2
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risk: medium
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ci_eligible: false
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tags:
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- provider
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- model
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skills:
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- langbot-env-setup
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- langbot-testing
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env:
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- LANGBOT_FRONTEND_URL
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- LANGBOT_BACKEND_URL
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preconditions:
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- "A DeepSeek-compatible API key and model route are available from the active secret source and must not be printed in reports."
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- "A test pipeline is available for confirming the saved provider can answer Debug Chat."
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steps:
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- "Open LANGBOT_FRONTEND_URL."
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- "Navigate to Models."
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- "Add or edit a DeepSeek provider."
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- "Fill the required base URL, API key, and model fields from the active secret source."
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- "Run the provider or model test action in the UI."
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- "Run a small Pipeline Debug Chat prompt to confirm the provider is usable."
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checks:
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- "UI: The provider/model test action succeeds in the page."
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- "UI: A Pipeline Debug Chat prompt returns a Bot response after provider setup."
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- "Console: No unexpected frontend errors appear while saving or testing the provider."
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- "Secret safety: No API key, token, or secret is printed in logs or reports."
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evidence_required:
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- ui
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- console
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- backend_log
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diagnostics:
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- "If provider testing fails, inspect backend logs and provider error messages to distinguish invalid credentials from UI wiring issues."
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- "Use API/curl only as a diagnostic aid after reproducing through the UI."
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troubleshooting:
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- proxy-env-mismatch
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- plugin-runtime-timeout
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