Grok API Key获取教程【2025年最新】

import requests
import json

# 设置API密钥和接口地址
api_key = "your_api_key_here"  # 替换为您的API密钥
api_url = "https://api.jeniya.cn/v1/chat/completions"

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {api_key}"
}

# 准备请求数据
def chat_with_grok(prompt, search_internet=True):
    data = {
        "model": "grok-1",  # 使用Grok模型
        "messages": [
            {"role": "user", "content": prompt}
        ],
        "temperature": 0.7,
        "max_tokens": 800,
        "search_internet": search_internet  # 是否启用网络搜索功能
    }
    
    response = requests.post(api_url, headers=headers, json=data)
    
    if response.status_code == 200:
        return response.json()["choices"][0]["message"]["content"]
    else:
        return f"错误: {response.status_code}, {response.text}"

# 使用示例 - 普通问答
result = chat_with_grok("解释一下量子计算的基本原理")
print(result)

# 使用示例 - 带网络搜索的实时信息查询
news_result = chat_with_grok("总结今天的主要科技新闻", search_internet=True)
print(news_result)

// Grok API调用示例
const axios = require('axios');

async function chatWithGrok(prompt, searchInternet = true) {
  const apiKey = 'your_api_key_here';  // 替换为您的API密钥
  const apiUrl = 'https://api.jeniya.cn/v1/chat/completions';
  
  const headers = {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${apiKey}`
  };
  
  const data = {
    model: 'grok-1',
    messages: [
      { role: 'user', content: prompt }
    ],
    temperature: 0.7,
    max_tokens: 800,
    search_internet: searchInternet
  };
  
  try {
    const response = await axios.post(apiUrl, data, { headers });
    return response.data.choices[0].message.content;
  } catch (error) {
    console.error('Grok API调用出错:', error.response?.data || error.message);
    return null;
  }
}

// 使用示例
async function main() {
  // 基础对话
  const basicResult = await chatWithGrok('如何提高编程效率？');
  console.log('基础回答:', basicResult);
  
  // 带网络搜索的实时信息
  const newsResult = await chatWithGrok('解释最新的人工智能突破是什么？', true);
  console.log('实时信息:', newsResult);
}

main();

import requests
import json

api_key = "your_api_key_here"
api_url = "https://api.jeniya.cn/v1/chat/completions"

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {api_key}"
}

# 多轮对话示例
def grok_conversation():
    # 保存对话历史
    conversation = []
    
    # 第一轮：用户问题
    user_message1 = "设计一个电子商务网站需要考虑哪些关键因素？"
    conversation.append({"role": "user", "content": user_message1})
    
    data = {
        "model": "grok-1",
        "messages": conversation,
        "temperature": 0.7
    }
    
    response = requests.post(api_url, headers=headers, json=data)
    assistant_response1 = response.json()["choices"][0]["message"]["content"]
    
    # 添加助手回复到对话历史
    conversation.append({"role": "assistant", "content": assistant_response1})
    print(f"问题: {user_message1}")
    print(f"Grok: {assistant_response1}\n")
    
    # 第二轮：跟进问题
    user_message2 = "在这些因素中，哪些对于转化率最重要？"
    conversation.append({"role": "user", "content": user_message2})
    
    data = {
        "model": "grok-1",
        "messages": conversation,
        "temperature": 0.7
    }
    
    response = requests.post(api_url, headers=headers, json=data)
    assistant_response2 = response.json()["choices"][0]["message"]["content"]
    
    print(f"问题: {user_message2}")
    print(f"Grok: {assistant_response2}")

# 执行多轮对话示例
grok_conversation()