from openai import OpenAI

# 1. 初始化 OpenAI 客户端
client = OpenAI(
    # 2. 将基础 URL 指向 AGIPower 端点
    base_url="https://api.agipower.ai/v1", 
    # 3. 替换为你从 AGIPower 获取的 API Key
    api_key="<你的 AGIPower_API_KEY>", 
)

# 4. 发起 Chat Completion 请求
completion = client.chat.completions.create(
    # 5. 指定模型，格式为 "供应商/模型名称"
    model="openai/gpt-5", 
    messages=[
        {
            "role": "user",
            "content": "生命的意义是什么？"
        }
    ]
)

print(completion.choices[0].message.content)

import OpenAI from "openai";

// 1. 初始化 OpenAI 客户端
const openai = new OpenAI({
  // 2. 将基础 URL 指向 AGIPower 端点
  baseURL: "https://api.agipower.ai/v1", 
  // 3. 替换为你从 AGIPower 获取的 API Key
  apiKey: "<你的 AGIPower_API_KEY>", 
});

async function main() {
  // 4. 发起 Chat Completion 请求
  const completion = await openai.chat.completions.create({
    // 5. 指定模型，格式为 "供应商/模型名称"
    model: "openai/gpt-5", 
    messages: [
      {
        role: "user",
        content: "生命的意义是什么？",
      },
    ],
  });

  console.log(completion.choices[0].message.content);
}

main();

curl https://api.agipower.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AGIPower_API_KEY" \
  -d '{
    "model": "openai/gpt-5",
    "messages": [
      {
        "role": "user",
        "content": "生命的意义是什么？"
      }
    ]
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.agipower.ai/v1", 
    api_key="<你的 AGIPower_API_KEY>", 
)

# 使用 Responses API 发起请求
response = client.responses.create(
    model="openai/gpt-5", 
    input="生命的意义是什么？"
)

print(response.output_text)

import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.agipower.ai/v1", 
  apiKey: "<你的 AGIPower_API_KEY>", 
});

async function main() {
  const response = await openai.responses.create({
    model: "openai/gpt-5", 
    input: "生命的意义是什么？", 
  });

  console.log(response.output_text);
}

main();

curl https://api.agipower.ai/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AGIPower_API_KEY" \
  -d '{
    "model": "openai/gpt-5",
    "input": "生命的意义是什么？"
  }'

from anthropic import Anthropic

# 1. 初始化 Anthropic 客户端
client = Anthropic(
    # 2. 将基础 URL 指向 AGIPower 端点
    base_url="https://api.agipower.ai", 
    # 3. 替换为你从 AGIPower 获取的 API Key
    api_key="<你的 AGIPower_API_KEY>", 
)

# 4. 发起 Messages 请求
message = client.messages.create(
    model="google/gemini-3.1-pro-preview", 
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": "生命的意义是什么？"
        }
    ]
)

print(message.content[0].text)

import Anthropic from "@anthropic-ai/sdk";

// 1. 初始化 Anthropic 客户端
const client = new Anthropic({
  // 2. 将基础 URL 指向 AGIPower 端点
  baseURL: "https://api.agipower.ai", 
  // 3. 替换为你从 AGIPower 获取的 API Key
  apiKey: "<你的 AGIPower_API_KEY>", 
});

async function main() {
  // 4. 发起 Messages 请求
  const message = await client.messages.create({
    model: "google/gemini-3.1-pro-preview", 
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: "生命的意义是什么？",
      },
    ],
  });

  console.log(message.content[0].text);
}

main();

curl https://api.agipower.ai/v1/messages \
  -H "content-type: application/json" \
  -H "x-api-key: $AGIPower_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "google/gemini-3.1-pro-preview",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": "生命的意义是什么？"
      }
    ]
  }'

from google import genai
from google.genai import types

# 1. 初始化 Google GenAI 客户端
client = genai.Client(
    # 2. 替换为你从 AGIPower 获取的 API Key
    api_key="<你的 AGIPower_API_KEY>", 
    vertexai=True, 
    # 3. 将 base_url 指向 AGIPower 端点
    http_options=types.HttpOptions(
        api_version='v1',
        base_url='https://api.agipower.ai'
    )
)

# 4. 发起 generateContent 请求
response = client.models.generate_content(
    model="google/gemini-3.1-pro-preview", 
    contents="生命的意义是什么？"
)

print(response.text)

import { GoogleGenAI } from "@google/genai";

// 1. 初始化 Google GenAI 客户端
const ai = new GoogleGenAI({
  // 2. 替换为你从 AGIPower 获取的 API Key
  apiKey: "<你的 AGIPower_API_KEY>", 
  vertexai: true, 
  // 3. 将 base_url 指向 AGIPower 端点
  httpOptions: {
    apiVersion: "v1",
    baseUrl: "https://api.agipower.ai", 
  },
});

async function main() {
  // 4. 发起 generateContent 请求
  const response = await ai.models.generateContent({
    model: "google/gemini-3.1-pro-preview", 
    contents: "生命的意义是什么？",
  });

  console.log(response.text);
}

main();