Files
multiAgentTry/backend/app/routers/roles.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

56 lines
1.2 KiB
Python

"""
角色分配 API 路由
"""
from fastapi import APIRouter
from pydantic import BaseModel
from typing import List, Dict
router = APIRouter()
class RoleRequest(BaseModel):
task: str
class RoleAllocateRequest(BaseModel):
task: str
agents: List[str]
@router.post("/primary")
async def get_primary_role(request: RoleRequest):
"""获取任务主要角色"""
return {
"task": request.task,
"primary_role": "developer",
"role_scores": {
"developer": 0.8,
"architect": 0.6,
"qa": 0.4,
"pm": 0.2
}
}
@router.post("/allocate")
async def allocate_roles(request: RoleAllocateRequest):
"""分配角色"""
allocation = {}
for i, agent in enumerate(request.agents):
roles = ["developer", "architect", "qa"]
allocation[agent] = roles[i % len(roles)]
return {
"task": request.task,
"primary_role": "developer",
"allocation": allocation
}
@router.post("/explain")
async def explain_roles(request: RoleAllocateRequest):
"""解释角色分配"""
return {
"explanation": f"基于任务 '{request.task}' 的分析,推荐了最适合的角色分配方案。"
}