gist:75ccf47238f264353a6fa7201b8ad8d7

Based on the provided code, this is a Python script for a minimal terminal error analysis assistant. It takes an error message as a command-line argument, sends it to a simulated AI model API, and prints a diagnostic result with an explanation and troubleshooting steps. The script is a demo and uses a placeholder API endpoint and a hardcoded mock response instead of making a real API call.

import sys import requests import json 极简的终端报错分析助手 Demo def analyze error error message : print "正在请求大模型分析报错..." 假设这里是调用 AI 模型的接口 url = "https://api.example.com/v1/chat/completions" headers = {"Authorization": "Bearer YOUR API KEY", "Content-Type": "application/json"} 核心逻辑：设定 Prompt payload = { "model": "mimo-standard", "messages": {"role": "system", "content": "你是一个严谨的资深程序员，请用中文简明扼要地解释这段报错的原因，并给出分步的排查建议。"}, {"role": "user", "content": f"报错信息如下：{error message}"} } 实际运行时发送请求并解析结果 此处仅做代码结构展示 try: response = requests.post url, headers=headers, json=payload result = response.json 'choices' 0 'message' 'content' result = "【模拟返回】这是一个由于依赖包缺失导致的错误。建议先执行 pip install -r requirements.txt..." return result except Exception as e: return f"AI 分析调用失败：{e}" if name == " main ": if len sys.argv 1: error text = " ".join sys.argv 1: print "\n--- AI 诊断结果 ---" print analyze error error text print "-------------------\n" else: print "用法: python main.py <你的报错信息 "