From 5e7b10c939cb6fa4bc9e1f238310fc38e4f92b7a Mon Sep 17 00:00:00 2001
From: liubiren <marslbr@qq.com>
Date: Tue, 12 May 2026 21:48:09 +0800
Subject: [PATCH] =?UTF-8?q?20260512=E6=9B=B4=E6=96=B0?=
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---
 产品需求文档AI生成/utils/agnet.py | 57 ++++++++++++++++++++-----------
 1 file changed, 37 insertions(+), 20 deletions(-)

diff --git a/产品需求文档AI生成/utils/agnet.py b/产品需求文档AI生成/utils/agnet.py
index 725f6b2..b666ee1 100644
--- a/产品需求文档AI生成/utils/agnet.py
+++ b/产品需求文档AI生成/utils/agnet.py
@@ -4,11 +4,13 @@
 """
 
 # 列举导入模块
-from pydantic_ai import Agent
-from pydantic_ai.providers.openai import OpenAIProvider
-from pydantic_ai.models.openai import OpenAIChatModel
+import asyncio
+from typing import List
 
-from typing import Any, Optional, List
+from pydantic_ai import Agent, AgentRunResult
+from pydantic_ai.models.openai import OpenAIChatModel
+from pydantic_ai.output import OutputSpec
+from pydantic_ai.providers.openai import OpenAIProvider
 
 
 class BaseAgent:
@@ -16,23 +18,25 @@ class BaseAgent:
     通用智能体基类
     """
 
-    def __init__(self, system_prompt: str, output_type: Any, tools: List = []):
+    def __init__(self, instructions: str, output_type: OutputSpec = str):
         """
         初始化智能体
-        :param system_prompt: 系统提示词
+        :param instructions: 指令
         :param output_type: 输出类型
-        :param tools: 工具列表
         :return: 智能体实例
         """
-        self.agent = self._instantiate_agent(
-            system_prompt=system_prompt, output_type=output_type, tools=tools
+        # 实例智能体
+        self.agent = self._instantiate(
+            instructions=instructions,
+            output_type=output_type,
         )
 
-    def _instantiate_agent(
-        self, system_prompt: str, output_type: Any, tools: list = []
-    ) -> Agent:
+    def _instantiate(self, instructions: str, output_type: OutputSpec) -> Agent:
         """
-        实例化智能体
+        实例智能体
+        :param instructions: 指令
+        :param output_type: 输出类型
+        :return: 智能体实例
         """
         agent = Agent(
             model=OpenAIChatModel(
@@ -42,18 +46,31 @@ class BaseAgent:
                     api_key="sk-D9Y1mCe8VlvNqLuSC4mAjqEwxJ2nW4C0h8a7EPn8kg9RLsHq",
                 ),
             ),
-            system_prompt=system_prompt,
+            instructions=instructions,
             output_type=output_type,
         )
-        for tool in tools:
-            agent.tool(tool)  # 注册工具
         return agent
 
-    async def run(self, user_prompt: str, **kwargs):
+    async def run(self, user_prompt: str | List[str]) -> AgentRunResult:
         """
-        运行智能体
+        异步运行智能体
         :param user_prompt: 用户提示词
-        :param kwargs: 其它参数
         :return: 智能体回复
         """
-        return await self.agent.run(user_prompt=user_prompt, **kwargs)
+        return await self.agent.run(user_prompt=user_prompt)
+
+
+async def test():
+    # 1. 创建智能体（给系统提示词）
+    agent = BaseAgent(instructions="请用一句话简洁回复。")
+
+    # 2. 运行智能体（给用户问题）
+    result = await agent.run(user_prompt="Hello World 最早出现在哪里？")
+
+    # 3. 输出结果
+    print("答案：", result.output)
+
+
+# 运行
+if __name__ == "__main__":
+    asyncio.run(test())