mirror of
https://github.com/langbot-app/LangBot.git
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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.
162 lines
4.6 KiB
Markdown
162 lines
4.6 KiB
Markdown
# 日志守卫规划
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## 状态
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这是当前活跃设计,已有第一版文件扫描 MVP。实现边界需要和黑盒 E2E 路线保持一致:
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- 日志守卫服务于 `lbs test report`。
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- 它不替代浏览器/UI 判断。
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- 它不发展成独立后端 API 测试框架。
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- 第一版默认扫描 `LANGBOT_REPO/data/logs/` 下最新的 `langbot-*.log`,也可扫描 agent
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显式提供的 backend/frontend/console 日志文件。
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当前总体路线见:
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```text
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docs/qa-agent/04-black-box-e2e-roadmap.md
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```
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## 目标
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日志守卫是 `lbs test report` 的一部分,用来在 agent 执行测试期间捕获 UI 断言之外的运行时问题。
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当前命令方向已收敛为 `lbs test plan` / `lbs test report`。日志守卫服务于 agent-browser QA,不是独立的后端 API 测试入口。
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LangBot 是异步且集成度高的系统,有些问题不会直接表现为页面失败:
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- 后台任务异常
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- 未等待的协程
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- Provider 流式调用失败
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- 插件 runtime 超时
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- 平台发送失败
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- 数据库连接问题
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- 敏感信息泄露
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日志守卫负责把这些信号结构化地放进测试报告,并关联到 troubleshooting 资产。
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## 输入
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日志守卫应从环境和运行上下文读取配置:
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- `skills/.env` 中的 `LANGBOT_BACKEND_URL`
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- `skills/.env` 中的 `LANGBOT_REPO`,用于自动发现 LangBot 后端日志
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- `lbs test plan` / report 记录的 case id
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- LangBot 后端进程输出
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- 前端 dev server 输出
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- 浏览器 console/network 错误
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- case 声明的 success/failure patterns 和 expected failures
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## MVP 范围
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- 读取一个或多个日志流或日志文件。
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- 检测错误模式。
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- 支持按 case id 或 pattern 白名单。
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- 输出 JSON/Markdown 摘要。
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- 发现非预期错误时让测试报告标记失败;未来如果有自动执行器,再返回非零退出码。
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## 错误分类
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### 永远非预期
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除非 case 明确声明,否则应失败:
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- `Traceback`
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- `Task exception was never retrieved`
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- `RuntimeWarning: coroutine .* was never awaited`
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- `Unclosed client session`
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- `Unclosed connector`
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- `KeyError`
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- `TypeError`
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- `AttributeError`
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- 密钥、token、secret 明文泄露
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### Case 预期错误
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只有当前 case 声明时允许:
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- 无效 provider key
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- Provider 认证失败
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- 无效 webhook payload
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- 插件测试故意抛错
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- 超时测试
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- 限流测试
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### 仅警告
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报告但默认不失败:
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- 可恢复重试
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- 恢复的超时
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- 废弃配置
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- 慢请求
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- 版本检查失败
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## 与 Troubleshooting 集成
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日志守卫不只输出错误文本,还应尽量匹配已知 troubleshooting id。
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例子:
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```text
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Action list_plugins call timed out
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Action list_agent_runners call timed out
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Action invoke_llm_stream call timed out
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```
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可映射到:
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```text
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plugin-runtime-timeout
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```
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```text
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uppercase proxy points to one host, lowercase proxy points to another
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```
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可映射到:
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```text
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proxy-env-mismatch
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```
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## 未来命令
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```bash
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bin/lbs test plan pipeline-debug-chat
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bin/lbs test start pipeline-debug-chat
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bin/lbs test run pipeline-debug-chat --dry-run
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bin/lbs test report pipeline-debug-chat
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bin/lbs test report --output report.md
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bin/lbs test report pipeline-debug-chat --backend-log /path/to/backend.log --console-log /path/to/console.log
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bin/lbs test report pipeline-debug-chat --since "2026-05-21T10:30:00+08:00"
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bin/lbs test report pipeline-debug-chat --tail-lines 2000
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bin/lbs test report pipeline-debug-chat --since "2026-05-21T10:30:00+08:00" --tail-lines 2000
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bin/lbs test report pipeline-debug-chat --no-auto-log
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```
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运行报告应包含:
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- case id
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- URL 和环境变量摘要,不能包含 secrets
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- 浏览器可见结果
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- 后端日志摘要
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- console/network 错误
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- 匹配到的 troubleshooting id
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- 通过/失败结论
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## MVP 完成标准
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- 可以自动扫描最新 LangBot 后端日志,也可以扫描前端日志和 console 日志文件。
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- 可以用 `--since` 或 `--tail-lines` 把扫描范围限制到本次测试窗口。
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- 可以检测明显 Python/运行时错误和 secret 泄露风险。
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- 可以识别 case 声明的 success/failure patterns。
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- 可以识别 troubleshooting pattern,包括 `plugin-runtime-timeout` 和 `proxy-env-mismatch`。
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- 支持 case 级白名单。
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- 输出机器可读摘要。
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- 至少一个 `langbot-testing` case 使用它。
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当前 MVP 已覆盖自动发现 LangBot 后端日志、文件扫描、`--since`/`--tail-lines` 扫描窗口、
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基础错误检测、case success/failure signal、troubleshooting 匹配、secret 脱敏和 `--json`
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输出。仍待继续完善的是 live log 采集、更多规则、case 级 expected failure 的资产化和真实
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E2E report 样例。
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