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Quickstart

Get up and running with ParrotRouter in under 5 minutes. Access 100+ AI models through a single API.

1. Get Your API Key

First, create a free account and generate your API key from the dashboard.

2. Install the SDK

Choose your preferred language and install the SDK:

Pythonbash
pip install openai
Node.jsbash
npm install openai

3. Make Your First Request

Here's how to generate your first AI response:

Pythonpython
from openai import OpenAI

client = OpenAI(
    base_url="https://api.parrotrouter.com/v1",
    api_key="your-api-key-here"
)

response = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "user", "content": "Hello, AI!"}
    ]
)

print(response.choices[0].message.content)
TypeScripttypescript
import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://api.parrotrouter.com/v1',
  apiKey: 'your-api-key-here',
});

const response = await client.chat.completions.create({
  model: 'gpt-4',
  messages: [
    { role: 'user', content: 'Hello, AI!' }
  ],
});

console.log(response.choices[0].message.content);
cURLbash
curl https://api.parrotrouter.com/v1/chat/completions \
  -H "Authorization: Bearer your-api-key-here" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4",
    "messages": [
      {"role": "user", "content": "Hello, AI!"}
    ]
  }'

4. Try Different Models

ParrotRouter supports models from multiple providers. Simply change the model parameter:

Using Different Modelspython
# OpenAI GPT-4
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)

# Anthropic Claude
response = client.chat.completions.create(
    model="claude-3-opus-20240229",
    messages=[{"role": "user", "content": "Write a haiku about coding"}]
)

# Google Gemini
response = client.chat.completions.create(
    model="gemini-pro",
    messages=[{"role": "user", "content": "Solve this math problem: 2x + 5 = 13"}]
)

5. Advanced Features

Explore powerful features like streaming, function calling, and more:

Streaming Responsespython
stream = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Write a story about a robot"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

Next Steps