mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-08-17 07:50:59 +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.
55 lines
2.3 KiB
YAML
55 lines
2.3 KiB
YAML
id: sandbox-skill-authoring-e2e
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title: "Local Agent creates, registers, activates, and uses a sandbox skill"
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mode: agent-browser
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area: sandbox
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type: regression
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priority: p2
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risk: high
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ci_eligible: false
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tags:
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- sandbox
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- skills
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- local-agent
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- tools
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- e2b
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- nsjail
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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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- LANGBOT_LOCAL_AGENT_PIPELINE_URL
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- LANGBOT_LOCAL_AGENT_PIPELINE_NAME
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preconditions:
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- "LANGBOT_LOCAL_AGENT_PIPELINE_URL or LANGBOT_LOCAL_AGENT_PIPELINE_NAME points to the local-agent pipeline under test."
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- "LangBot is started with the sandbox backend intended for this run, such as e2b or nsjail."
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- "The selected model route supports tool/function calling strongly enough to invoke sandbox tools."
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steps:
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- "Start LangBot with the target sandbox backend and confirm the Box status UI or LANGBOT_BACKEND_URL /api/v1/box/status reports the expected backend."
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- "Open the target Local Agent pipeline in Debug Chat with a function-calling model."
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- "Run the canonical prompt pattern in references/sandbox-skill-authoring.md with a unique skill name."
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- "Capture the visible final response, backend logs, and the registered skill-store files."
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checks:
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- "UI: Debug Chat final assistant response contains E2E_OK:<skill-name>."
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- "Logs: The model called exec, register_skill, activate, then exec again from the activated skill path."
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- "Logs: The selected backend name is the expected one, such as e2b or nsjail."
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- "Skill store: The registered package and activated writeback match references/sandbox-skill-authoring.md."
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- "Box status: recent_error_count is 0 after the run."
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evidence_required:
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- ui
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- backend_log
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- api_diagnostic
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- filesystem
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diagnostics:
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- "If Debug Chat fails before tool execution, first validate the model provider and function-calling support."
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- "If /workspace/.skills/<skill> is missing only on E2B, check extra mount sync behavior."
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- "If nsjail starts but every command fails before execve, check nsjail CLI compatibility and chroot mount targets."
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- "API or raw provider probes are diagnostic only; they do not make this UI case pass by themselves."
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troubleshooting:
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- sandbox-native-tools-unavailable
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- e2b-extra-mount-sync-missing
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- box-session-conflict-logical-metadata
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- nsjail-cli-compatibility
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- socks-proxy-without-socksio
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