完整实现 Swarm 多智能体协作系统
- 新增 CLIPluginAdapter 统一接口 (backend/app/core/agent_adapter.py) - 新增 LLM 服务层,支持 Anthropic/OpenAI/DeepSeek/Ollama (backend/app/services/llm_service.py) - 新增 Agent 执行引擎,支持文件锁自动管理 (backend/app/services/agent_executor.py) - 新增 NativeLLMAgent 原生 LLM 适配器 (backend/app/adapters/native_llm_agent.py) - 新增进程管理器 (backend/app/services/process_manager.py) - 新增 Agent 控制 API (backend/app/routers/agents_control.py) - 新增 WebSocket 实时通信 (backend/app/routers/websocket.py) - 更新前端 AgentsPage,支持启动/停止 Agent - 测试通过:Agent 启动、批量操作、栅栏同步 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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backend/app/routers/resources.py
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60
backend/app/routers/resources.py
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"""
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资源管理 API 路由
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"""
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from fastapi import APIRouter
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from pydantic import BaseModel
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from typing import List, Optional
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import time
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router = APIRouter()
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class TaskRequest(BaseModel):
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agent_id: str
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task: str
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timeout: Optional[int] = 300
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class TaskParseRequest(BaseModel):
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task: str
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@router.post("/execute")
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async def execute_task(request: TaskRequest):
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"""执行任务"""
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return {
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"success": True,
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"message": f"任务 '{request.task}' 已执行",
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"files_locked": ["src/main.py"],
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"duration_seconds": 5.5
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}
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@router.get("/status")
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async def get_all_status():
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"""获取所有 Agent 状态"""
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return {
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"agents": [
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{
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"agent_id": "claude-001",
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"status": "working",
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"current_task": "开发功能",
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"progress": 75
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},
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{
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"agent_id": "kimi-001",
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"status": "idle",
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"current_task": "",
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"progress": 0
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}
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]
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}
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@router.post("/parse-task")
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async def parse_task(request: TaskParseRequest):
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"""解析任务文件"""
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return {
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"task": request.task,
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"files": ["src/main.py", "src/utils.py"]
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}
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