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[ARTICLE · art-7789] src=gist.github.com ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

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.

read1 min views14 publishedMay 22, 2026
import sys
import requests
import json

def analyze_error(error_message):
    print("正在请求大模型分析报错...")
    
    url = "https://api.example.com/v1/chat/completions"
    headers = {"Authorization": "Bearer YOUR_API_KEY", "Content-Type": "application/json"}
    
    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}"}
        ]
    }
    
    try:
        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>")
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