Skip to main content

​
OpenAI SDK Compatibility

This endpoint is fully compatible with the OpenAI SDK. Just change the baseURL and apiKey: 
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_EASY_PEASY_API_KEY',
  baseURL: 'https://easy-peasy.ai/api',
});

// Non-streaming
const response = await client.chat.completions.create({
  model: 'gemini-3-flash',
  messages: [
    { role: 'system', content: 'You are a helpful assistant.' },
    { role: 'user', content: 'Hello!' },
  ],
});
console.log(response.choices[0].message.content);

// Streaming
const stream = await client.chat.completions.create({
  model: 'gemini-3-flash',
  messages: [{ role: 'user', content: 'Tell me a story.' }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '');
}

​
Authentication

This endpoint supports two authentication methods:
  • x-api-key header: x-api-key: YOUR_API_KEY
  • Authorization header: Authorization: Bearer YOUR_API_KEY (OpenAI SDK default)

​
Multimodal Messages

You can send images and audio alongside text using the OpenAI multimodal message format.

​
Vision (Image Input)

Send images as URLs or base64 data URIs: 
const response = await client.chat.completions.create({
  model: 'gemini-3-flash',
  messages: [
    {
      role: 'user',
      content: [
        { type: 'text', text: 'What do you see in this image?' },
        {
          type: 'image_url',
          image_url: { url: 'https://example.com/photo.jpg' },
        },
      ],
    },
  ],
});
Base64 images are also supported: 
{
  "type": "image_url",
  "image_url": {
    "url": "data:image/png;base64,iVBORw0KGgo..."
  }
}

​
Audio Input

Send audio as base64-encoded data (mp3, wav, webm, mp4): 
{
  "role": "user",
  "content": [
    { "type": "text", "text": "Transcribe this audio." },
    {
      "type": "input_audio",
      "input_audio": {
        "data": "base64-encoded-audio-data...",
        "format": "mp3"
      }
    }
  ]
}

​
Streaming

When stream: true, the response uses Server-Sent Events in OpenAI chunk format: 
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":...,"model":"gemini-3-flash","choices":[{"index":0,"delta":{"content":"Hello"},"finish_reason":null}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":...,"model":"gemini-3-flash","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: [DONE]