Models

import openai

client = openai.OpenAI(
    api_key="YOUR_ANOTHERAI_API_KEY",
    base_url="https://api.anotherai.dev/v1"
)

# Using GPT-4
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
    metadata={"agent_id": "my-agent"} 
)

# Switching to Claude
response = client.chat.completions.create(
    model="claude-3-7-sonnet-latest",
    messages=[{"role": "user", "content": "Hello!"}],
    metadata={"agent_id": "my-agent"} 
)

# Using Llama
response = client.chat.completions.create(
    model="llama4-maverick-instruct-fast",
    messages=[{"role": "user", "content": "Hello!"}],
    metadata={"agent_id": "my-agent"} 
)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_ANOTHERAI_API_KEY',
  baseURL: 'https://api.anotherai.dev/v1',
});

// Using GPT-4
let response = await client.chat.completions.create({
  model: 'gpt-4o',
  messages: [{ role: 'user', content: 'Hello!' }],
  metadata: { agent_id: 'my-agent' } 
});

// Switching to Claude
response = await client.chat.completions.create({
  model: 'claude-3-7-sonnet-latest',
  messages: [{ role: 'user', content: 'Hello!' }],
  metadata: { agent_id: 'my-agent' } 
});

// Using Llama
response = await client.chat.completions.create({
  model: 'llama4-maverick-instruct-fast',
  messages: [{ role: 'user', content: 'Hello!' }],
  metadata: { agent_id: 'my-agent' } 
});

# Using GPT-4
curl https://api.anotherai.dev/v1/chat/completions \
  -H "Authorization: Bearer YOUR_ANOTHERAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Hello!"}],
    "metadata": {"agent_id": "my-agent"}
  }'

# Switching to Claude
curl {{API_URL}}/v1/chat/completions \
  -H "Authorization: Bearer YOUR_ANOTHERAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-3-7-sonnet-latest",
    "messages": [{"role": "user", "content": "Hello!"}],
    "metadata": {"agent_id": "my-agent"}
  }'