Documentation

curl /v1/messages \
  -H "x-api-key: sk-your-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-sonnet-4-5",
    "max_tokens": 1024,
    "messages": [
      { "role": "user", "content": "Hello, Claude!" }
    ]
  }'

curl /v1/messages \
  -H "x-api-key: sk-your-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "gpt-4.1",
    "max_tokens": 1024,
    "messages": [
      { "role": "user", "content": "Hello, GPT!" }
    ]
  }'

curl /v1/messages \
  -H "x-api-key: sk-your-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "gemini-2.5-pro",
    "max_tokens": 1024,
    "messages": [
      { "role": "user", "content": "Hello, Gemini!" }
    ]
  }'

# pip install anthropic
import anthropic

client = anthropic.Anthropic(
    api_key="sk-your-key",
    base_url="https://ezaiapi.com"
)

# Claude
msg = client.messages.create(
    model="claude-sonnet-4-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
)
print(msg.content[0].text)

# GPT — same client, just change model
msg = client.messages.create(model="gpt-4.1", max_tokens=1024,
    messages=[{"role": "user", "content": "Hello GPT!"}])

# Gemini
msg = client.messages.create(model="gemini-2.5-pro", max_tokens=1024,
    messages=[{"role": "user", "content": "Hello Gemini!"}])

// npm install @anthropic-ai/sdk
import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic({
  apiKey: 'sk-your-key',
  baseURL: 'https://ezaiapi.com'
});

const msg = await client.messages.create({
  model: 'claude-sonnet-4-5',
  max_tokens: 1024,
  messages: [{ role: 'user', content: 'Hello!' }]
});
console.log(msg.content[0].text);

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://ezaiapi.com/v1",
    api_key="sk-your-key",
    default_headers={"User-Agent": "EzAI/1.0"}  # Required!
)

response = client.chat.completions.create(
    model="claude-sonnet-4-5",
    messages=[
        {"role": "system", "content": "You are helpful."},
        {"role": "user", "content": "Hello!"}
    ],
    max_tokens=1024
)
print(response.choices[0].message.content)

// npm install openai
import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://ezaiapi.com/v1',
  apiKey: 'sk-your-key',
  defaultHeaders: { 'User-Agent': 'EzAI/1.0' }  // Required!
});

const resp = await client.chat.completions.create({
  model: 'claude-sonnet-4-5',
  messages: [
    { role: 'system', content: 'You are helpful.' },
    { role: 'user', content: 'Hello!' }
  ],
  max_tokens: 1024
});
console.log(resp.choices[0].message.content);