Overview

APIPod - The Next Generation AI Infrastructure for Developers

Welcome to APIPod

Defining the Next Generation AI Development Experience

APIPod is a model aggregation and scheduling infrastructure designed specifically for future-ready AI-native applications. We connect global top-tier LLMs via OpenAI & Anthropic compatible interfaces and provide Standardized API Definitions for Image, Video, Audio, and other models, delivering enterprise-grade high availability.

In today's fragmented AI ecosystem, developers often face challenges such as inconsistent interfaces (especially for multi-modal models), unstable services, and complex billing. APIPod aims to solve these pain points, allowing you to focus on building great products rather than maintaining infrastructure.

Why Choose APIPod?

We are not just an API proxy, but an intelligent, fully multi-modal AI traffic scheduling center.

3-Minute Quick Integration

APIPod's design philosophy is "Plug and Play". Follow these steps to immediately access super AI capabilities for your application.

Go to the APIPod Console to sign up, and generate your first API Key (sk-...) on the Key Management page.

For LLM models, APIPod is compatible with both OpenAI and Anthropic SDKs. You can freely choose the official library based on your project requirements.

Multi-Modal Model Usage

For models like Image (Midjourney) and Video (Runway) which have complex parameters, we provide specialized API interface definitions. Please consult the API Reference for detailed parameter instructions.

import openai

client = openai.OpenAI(
    base_url="https://api.apipod.ai/v1",
    api_key="your-api-key"
)

# Example: Call text model (LLM)
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello, APIPod!"}]
)
print(response.choices[0].message.content)
import OpenAI from 'openai';

const openai = new OpenAI({
  baseURL: 'https://api.apipod.ai/v1',
  apiKey: 'your-api-key',
});

async function main() {
  // Example: Call text model (LLM)
  const completion = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Hello, APIPod!' }],
    model: 'gpt-4o',
  });
  console.log(completion.choices[0].message.content);
}
main();
curl https://api.apipod.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Hello, APIPod!"}]
  }'

After successful calling, you can visit the Model Plaza to view the hundreds of models we support:

  • Text (LLM): GPT-4o, Claude 4.5 Sonnet, Gemini 3 Pro Preview...
  • Image: Nano Banana, Seedream...
  • Video: Veo 3.1...
  • Audio/Music: Suno (Coming Soon)

FAQ

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Overview | APIPod Docs