from openai import OpenAI

# 1. Initialize the OpenAI client
client = OpenAI(
    # 2. Point the base URL to the AGIPower endpoint
    base_url="https://api.agipower.ai/v1", 
    # 3. Replace with the API key from your AGIPower console
    api_key="<your AGIPower_API_KEY>", 
)

# 4. Create a Chat Completion request
completion = client.chat.completions.create(
    # 5. Specify the model in "provider/model-name" format
    model="google/gemini-3.1-pro-preview", 
    messages=[
        {
            "role": "user",
            "content": "What is the meaning of life?"
        }
    ]
)

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

import OpenAI from "openai";

// 1. Initialize the OpenAI client
const openai = new OpenAI({
  // 2. Point the base URL to the AGIPower endpoint
  baseURL: "https://api.agipower.ai/v1", 
  // 3. Replace with the API key from your AGIPower console
  apiKey: "<your AGIPower_API_KEY>", 
});

async function main() {
  // 4. Create a Chat Completion request
  const completion = await openai.chat.completions.create({
    // 5. Specify the model in "provider/model-name" format
    model: "google/gemini-3.1-pro-preview", 
    messages: [
      {
        role: "user",
        content: "What is the meaning of life?",
      },
    ],
  });

  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": "google/gemini-3.1-pro-preview",
    "messages": [
      {
        "role": "user",
        "content": "What is the meaning of life?"
      }
    ]
  }'

from openai import OpenAI

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

# Create a request using the Responses API
response = client.responses.create(
    model="google/gemini-3.1-pro-preview", 
    input="What is the meaning of life?"
)

print(response.output_text)

import OpenAI from "openai";

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

async function main() {
  const response = await openai.responses.create({
    model: "google/gemini-3.1-pro-preview", 
    input: "What is the meaning of life?", 
  });

  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": "google/gemini-3.1-pro-preview",
    "input": "What is the meaning of life?"
  }'

from anthropic import Anthropic

# 1. Initialize the Anthropic client
client = Anthropic(
    # 2. Point the base URL to the AGIPower endpoint
    base_url="https://agipower.ai", 
    # 3. Replace with the API key from your AGIPower console
    api_key="<your AGIPower_API_KEY>", 
)

# 4. Create a Messages request
message = client.messages.create(
    model="google/gemini-3.1-pro-preview", 
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": "What is the meaning of life?"
        }
    ]
)

print(message.content[0].text)

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

// 1. Initialize the Anthropic client
const client = new Anthropic({
  // 2. Point the base URL to the AGIPower endpoint
  baseURL: "https://agipower.ai", 
  // 3. Replace with the API key from your AGIPower console
  apiKey: "<your AGIPower_API_KEY>", 
});

async function main() {
  // 4. Create a Messages request
  const message = await client.messages.create({
    model: "google/gemini-3.1-pro-preview", 
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: "What is the meaning of life?",
      },
    ],
  });

  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": "What is the meaning of life?"
      }
    ]
  }'

from google import genai
from google.genai import types

# 1. Initialize the Google GenAI client
client = genai.Client(
    # 2. Replace with the API key from your AGIPower console
    api_key="<your AGIPower_API_KEY>", 
    vertexai=True, 
    # 3. Point the base URL to the AGIPower endpoint
    http_options=types.HttpOptions(
        api_version='v1',
        base_url='https://api.agipower.ai'
    )
)

# 4. Create a generateContent request
response = client.models.generate_content(
    model="google/gemini-3.1-pro-preview", 
    contents="What is the meaning of life?"
)

print(response.text)

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

// 1. Initialize the Google GenAI client
const ai = new GoogleGenAI({
  // 2. Replace with the API key from your AGIPower console
  apiKey: "<your AGIPower_API_KEY>", 
  vertexai: true, 
  // 3. Point the base URL to the AGIPower endpoint
  httpOptions: {
    apiVersion: "v1",
    baseUrl: "https://api.agipower.ai", 
  },
});

async function main() {
  // 4. Create a generateContent request
  const response = await ai.models.generateContent({
    model: "google/gemini-3.1-pro-preview", 
    contents: "What is the meaning of life?",
  });

  console.log(response.text);
}

main();