Mistral发布万亿参数AI模型全面赋能网络安全

import asyncio
import aiohttp
import json

API_URL = "https://api.n1n.ai/v1/chat/completions"
API_KEY = "your_api_key_here"

async def analyze_security_logs(session, log_snippet):
    payload = {
        "model": "mistral-trillion-security",
        "messages": [
            {
                "role": "system", 
                "content": "你是一位专家级网络安全分析师。请识别异常情况和潜在的零日漏洞利用。"
            },
            {
                "role": "user", 
                "content": f"请分析以下日志条目以查找入侵指标：{log_snippet}"
            }
        ],
        "temperature": 0.1,
        "max_tokens": 512
    }
    
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }

    async with session.post(API_URL, json=payload, headers=headers) as response:
        if response.status == 200:
            result = await response.json()
            return result["choices"][0]["message"]["content"]
        else:
            error_text = await response.text()
            raise Exception(f"API错误: {response.status} - {error_text}")

async def main():
    sample_log = "Failed password for invalid user admin from 192.168.1.105 port 54321 ssh2"
    async with aiohttp.ClientSession() as session:
        try:
            analysis = await analyze_security_logs(session, sample_log)
            print(f"威胁分析结果:\n{analysis}")
        except Exception as e:
            print(f"分析过程中发生错误: {e}")

if __name__ == "__main__":
    asyncio.run(main())