use async way to run ai

app/agents.py

@@ -282,21 +282,21 @@ async def orchestrate_agents(simple_requirement: str) -> dict:
         包含所有Agent结果的完整字典
     """
 
-    send_message_to_feishu(f"收到新需求: {simple_requirement}")
+    # send_message_to_feishu(f"收到新需求: {simple_requirement}")
     # Step 1: PM Agent 分析需求
     pm_agent = PMAgent()
     requirement_analysis = pm_agent.analyze_requirement(simple_requirement)
-    send_requirement_result(requirement_analysis)
+    # send_requirement_result(requirement_analysis)
 
     # Step 2: QA Agent 生成测试用例
     qa_agent = QAAgent()
     test_cases = qa_agent.generate_test_cases(requirement_analysis)
-    send_test_cases(test_cases)
+    # send_test_cases(test_cases)
 
     # Step 3: Dev Agent 生成代码
     dev_agent = DevAgent()
     code_generation = dev_agent.generate_code(requirement_analysis, test_cases)
-    send_generate_code(code_generation)
+    # send_generate_code(code_generation)
     return {
         "requirement_analysis": requirement_analysis,
         "test_cases": test_cases,

main.py

@@ -1,6 +1,7 @@
 """FastAPI 应用主文件"""
 
 import logging
+import asyncio
 
 from fastapi import FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
@@ -39,26 +40,6 @@ class FullWorkflowResponse(BaseModel):
 
 @app.post("/workflow/full", response_model=FullWorkflowResponse)
 async def full_workflow(request: Request):
-    """
-    完整工作流：PM Agent -> QA Agent -> Dev Agent
-
-    这个端点接收一个简单的需求描述，通过三个Agent的协作，
-    最终生成完整的需求分析、测试用例和Java代码。
-
-    Args:
-        request: RequirementRequest 包含简单的需求描述
-
-    Returns:
-        FullWorkflowResponse 包含：
-        - requirement_analysis: PM Agent的需求分析结果
-        - test_cases: QA Agent生成的测试用例
-        - code_generation: Dev Agent生成的Java代码和单元测试
-
-    Example:
-        {
-            "requirement": "创建一个用户管理系统，支持用户注册、登录、个人信息管理"
-        }
-    """
     try:
         body_bytes = await request.body()
         message = body_bytes.decode('utf-8')
@@ -66,7 +47,7 @@ async def full_workflow(request: Request):
         logger.info(f"开始处理需求: {message}")
 
         # 调用编排函数，执行三个Agent的工作流
-        await orchestrate_agents(message)
+        asyncio.create_task( orchestrate_agents(message))
 
         # 构建响应
         response = FullWorkflowResponse(