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Team"},"license":"MIT","keywords":["agent","llm","orchestration","cli","automation"],"description":"Leaving Blank Space Agent — 多 Agent 编排框架","maintainers":[{"name":"baimingtao","email":"19330578521@163.com"}],"readme":"# LBS Agent\r\n\r\nLBS Agent 是一个自主 Agent 运行时系统。当前仓库的正式架构已经收口为五层：\r\n- `application/`：composition root + application services\r\n- `runtime/`：runtime kernel（LLM / context / memory / orchestration / perception）\r\n- `interfaces/`：CLI / API / gateway / web 入口\r\n- `extensions/`：skills 与 optional MCP catalogs\r\n- `tools/`：tool runtime、skill/mcp provider、执行基础设施\r\n\r\nlegacy 顶层包（如 `app/`、`core/`、`cli/`）目前仅作为 compatibility shim 保留，不再是正式实现目录。\r\n\r\n## 5 分钟上手\r\n\r\n### 安装 / 启动\r\n\r\n```bash\r\ngit clone <repo>\r\ncd lbs-agent\r\npip install -r requirements.txt   # 或 poetry install\r\npython lbs.py --help\r\n```\r\n\r\n也可以继续使用顶层入口：\r\n\r\n```bash\r\npython lbs.py --help\r\n```\r\n\r\n### 配置 LLM Provider\r\n\r\n```bash\r\npython lbs.py llm inspect\r\npython lbs.py models\r\npython lbs.py config\r\n```\r\n\r\n模型与 agent 内置配置位于：\r\n- `runtime/core/llm/registry/models.yaml`\r\n- `runtime/core/sub_agents/agents.yaml`\r\n\r\n### 第一次跑 Agent\r\n\r\n```bash\r\npython lbs.py run \"say hello\"\r\npython lbs.py run-agent code \"write fizzbuzz in python\"\r\n```\r\n\r\n### 多 Agent 编排\r\n\r\n```bash\r\npython lbs.py run-agent research \"调研 Hermes 和 LBS 的区别\"\r\npython lbs.py run-agent summary \"总结上一条结果\"\r\n```\r\n\r\n## 当前架构\r\n\r\n### 1. application/\r\n- `application/container.py`：系统装配根\r\n- `application/runtime_factory.py`：构建单 agent runtime config\r\n- `application/services/`：use-case services（model / agent / orchestration / session / cron / tool / interactive / gateway / skill / mcp）\r\n\r\n### 2. runtime/\r\n- `runtime/core/`：ModelRouter、provider、sub-agent registry\r\n- `runtime/context/`：context builder / manager / trimming / compression\r\n- `runtime/memory/`：session store、working memory、long-term memory、task contracts\r\n- `runtime/orchestration/`：Orchestrator、AgentLoop、scheduler、verification\r\n- `runtime/perception/`：intent / entity / input preprocess\r\n\r\n### 3. interfaces/\r\n- `interfaces/cli/_impl/`：CLI 命令实现\r\n- `interfaces/api/_impl/server.py`：FastAPI 服务\r\n- `interfaces/gateway/_impl/`：gateway adapters\r\n- `interfaces/web/frontend/`：前端\r\n- `interfaces/web/legacy_web/`：历史 web 资源承接区\r\n\r\n### 4. extensions/\r\n- `extensions/skills/builtin/`\r\n- `extensions/skills/optional/`\r\n- `extensions/mcps/optional/`\r\n\r\n### 5. tools/\r\n- `tools/tool/`：ToolRuntime、tool policy、tool registry\r\n- `tools/skill/`：skill registry / provider\r\n- `tools/mcp/`：MCP registry / provider infra\r\n\r\n## 依赖方向\r\n\r\n正式依赖方向应保持：\r\n\r\n```text\r\ninterfaces -> application -> runtime\r\ntools -----^            -> tools infra\r\nextensions (asset catalogs, loaded by runtime/tools when needed)\r\n```\r\n\r\n约束：\r\n- `interfaces/` 不直接依赖 runtime internals\r\n- `runtime/` 不反向 import `application/`\r\n- `legacy shim` 只做兼容转发，不承载真实逻辑\r\n\r\n## 常用命令\r\n\r\n```text\r\nlbs models\r\nlbs model list [--config]\r\nlbs model switch <provider> <model>\r\nlbs model health [provider]\r\n\r\nlbs llm inspect\r\nlbs llm validate [--json]\r\nlbs llm diagnostics [--json]\r\nlbs llm route <agent>\r\n\r\nlbs agents\r\nlbs tools inspect\r\nlbs tools list [--agent name]\r\nlbs tools profiles\r\n\r\nlbs skills list\r\nlbs skills view <name>\r\nlbs skill list\r\nlbs skill sources\r\nlbs skill sync <repo> [alias]\r\n\r\nlbs mcp list\r\n\r\nlbs sessions list\r\nlbs sessions show <id>\r\nlbs sessions export <id> <out>\r\nlbs sessions report [id]\r\n\r\nlbs workers list\r\nlbs workers show <id>\r\n\r\nlbs cron list\r\nlbs run \"<task>\"\r\nlbs run-agent <name> \"<task>\"\r\n```\r\n\r\n## 编程 API\r\n\r\n### Container\r\n\r\n```python\r\nfrom application.container import AgentSystemContainer\r\nfrom config.config import AppConfig\r\n\r\ncontainer = AgentSystemContainer(config=AppConfig())\r\ncontainer.session_service().list_sessions(limit=10)\r\ncontainer.model_service().inspect_llm()\r\ncontainer.build_orchestrator()\r\n```\r\n\r\n### Orchestrator\r\n\r\n```python\r\nresult = container.build_orchestrator().run_agent_sync(\r\n    agent_name=\"code\",\r\n    task=\"write hello world\",\r\n    context=\"\",\r\n    session_id=\"\",\r\n)\r\nprint(result.success, result.content)\r\n```\r\n\r\n## 开发\r\n\r\n### focused tests\r\n\r\n```bash\r\npython -m pytest tests/architecture/ -v\r\npython -m pytest tests/test_app_services_boundary.py tests/test_server_api.py -q\r\n```\r\n\r\n### 目录收口说明\r\n\r\n目录大迁移已完成；当前剩余 legacy 顶层目录主要用于 import compatibility。后续收尾以：\r\n1. 缩小 shim 表面积\r\n2. 让测试与文档全面直连新路径\r\n3. 最终删除不再需要的 legacy 目录\r\n为主。\r\n","readmeFilename":"README.md"}