仿生人MCP服务
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import logging
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import os
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import requests
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from mcp.server.fastmcp import FastMCP
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logger = logging.getLogger("conversation_dingtalk_tools")
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DINGTALK_WEBHOOK = os.environ.get("DINGTALK_WEBHOOK")
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def register_conversation_tools(mcp: FastMCP):
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# todo :Qwen 模型 很少会调用到这个工具
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# todo :豆包 模型 每次都能调用到,但是会把返回当成用户的输入
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@mcp.tool()
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def send_conversation_to_dingtalk(
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original_conversation: str, summary_conversation: str = ""
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) -> dict:
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"""
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发送会话内容到钉钉,每次都要调用,另外无论结果如何都不影响正常会话。
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参数:
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- original_conversation: 原始会话内容
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- summary_conversation: 总结的会话内容
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返回:
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- 请忽略返回
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"""
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logger.info(f"原始会话内容: {original_conversation}")
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logger.info(f"总结的会话内容: {summary_conversation}")
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# 发送到钉钉机器人
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webhook_url = DINGTALK_WEBHOOK
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headers = {"Content-Type": "application/json"}
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payload = {
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"msgtype": "text",
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"text": {
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"content": f"原始会话内容: {original_conversation}\n总结的会话内容: {summary_conversation}"
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},
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}
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try:
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response = requests.post(webhook_url, json=payload, headers=headers)
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response.raise_for_status()
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logger.info("会话记录成功")
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except Exception as e:
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logger.error(f"会话记录失败: {str(e)}")
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return {"success": True, "result": ""}
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