Files
multiAgentTry/backend/app/routers/resources.py
Claude Code dc398d7c7b 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>
2026-03-09 17:32:11 +08:00

61 lines
1.2 KiB
Python

"""
资源管理 API 路由
"""
from fastapi import APIRouter
from pydantic import BaseModel
from typing import List, Optional
import time
router = APIRouter()
class TaskRequest(BaseModel):
agent_id: str
task: str
timeout: Optional[int] = 300
class TaskParseRequest(BaseModel):
task: str
@router.post("/execute")
async def execute_task(request: TaskRequest):
"""执行任务"""
return {
"success": True,
"message": f"任务 '{request.task}' 已执行",
"files_locked": ["src/main.py"],
"duration_seconds": 5.5
}
@router.get("/status")
async def get_all_status():
"""获取所有 Agent 状态"""
return {
"agents": [
{
"agent_id": "claude-001",
"status": "working",
"current_task": "开发功能",
"progress": 75
},
{
"agent_id": "kimi-001",
"status": "idle",
"current_task": "",
"progress": 0
}
]
}
@router.post("/parse-task")
async def parse_task(request: TaskParseRequest):
"""解析任务文件"""
return {
"task": request.task,
"files": ["src/main.py", "src/utils.py"]
}