AI Gateway

curl https://api.dgrid.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $DGRID_API_KEY" \
  -d '{
  "model": "openai/gpt-4o",
  "messages": [
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
}'

# 適用於 TypeScript/Node.js
npm install openai

# 適用於 Python
pip install openai

import OpenAI from 'openai';

// 使用 DGrid AI Gateway 設定初始化 OpenAI 客戶端
const openai = new OpenAI({
  baseURL: 'https://api.dgrid.ai/v1', // 指向 DGrid AI Gateway 端點
  apiKey: '<DGRID_API_KEY>', // 替換為您的有效 DGrid API 金鑰
  defaultHeaders: {
    'HTTP-Referer': '<YOUR_SITE_URL>', // 選填：您應用程式的網站網址
    'X-Title': '<YOUR_SITE_NAME>', // 選填：您應用程式的名稱
  },
});

// 發送聊天補全請求的非同步函式
async function getChatCompletion() {
  const completion = await openai.chat.completions.create({
    model: 'openai/gpt-4o', // 指定目標模型（DGrid 支援的格式）
    messages: [
      {
        role: 'user',
        content: 'What is the meaning of life?',
      },
    ],
  });

  // 印出回應結果
  console.log(completion.choices[0].message);
}

getChatCompletion();

from openai import OpenAI

# 使用 DGrid AI Gateway 設定初始化 OpenAI 客戶端
client = OpenAI(
  base_url="https://api.dgrid.ai/v1", # 指向 DGrid AI Gateway 端點
  api_key="<DGRID_API_KEY>", # 替換為您的有效 DGrid API 金鑰
)
completion = client.chat.completions.create(
    extra_headers={
        "HTTP-Referer": "<YOUR_SITE_URL>", # 選填：您應用程式的網站網址
        "X-Title": "<YOUR_SITE_NAME>", # 選填：您應用程式的名稱
    },
    model="openai/gpt-4o", # 指定目標模型（DGrid 支援的格式）
    messages=[
        {
            "role": "user",
            "content": "What is the meaning of life?"
        }
    ]
)

# 印出回應內容
print(completion.choices[0].message.content)