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CrazyRouter API Quick Start Guide

CrazyRouter API Quick Start Guide

C
Crazyrouter Team
January 22, 2026
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Welcome to Crazyrouter! This guide will help you integrate the API within 5 minutes and start using world-class AI models.

Why choose Crazyrouter?#

  • Unified interface: Access 300+ AI models with a single API Key
  • OpenAI compatible: No code changes needed, just replace the base_url
  • Lower cost: More affordable than official pricing, pay-as-you-go with no subscription
  • High availability: Intelligent routing with automatic failover

1. Get your API Key#

  1. Visit the Crazyrouter official site
  2. Register an account and log in to the console
  3. Go to the “Token Management” page
  4. Click “Create Token”
  5. Copy the generated API Key (starting with sk-)

Tip: Keep your API Key safe and do not expose it in public.

2. Make your first request#

Using curl#

bash
curl https://crazyrouter.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36" \
  -d '{
    "model": "gpt-5.2",
    "messages": [{"role": "user", "content": "Hello, how are you?"}],
    "temperature": 0.7
  }'
python
from openai import OpenAI

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://crazyrouter.com/v1"
,
    default_headers={
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
    }
)

response = client.chat.completions.create(
    model="gpt-5.2",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello, how are you?"}
    ],
    temperature=0.7,
    max_tokens=1000
)

print(response.choices[0].message.content)

Using Node.js#

javascript
import OpenAI from 'openai';

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

async function main() {
  const response = await client.chat.completions.create({
    model: 'gpt-5.2',
    messages: [
      { role: 'system', content: 'You are a helpful assistant.' },
      { role: 'user', content: 'Hello,Please introduce yourself' }
    ],
    temperature: 0.7
  });

  console.log(response.choices[0].message.content);
}

main();

Streaming output#

python
from openai import OpenAI

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://crazyrouter.com/v1"
,
    default_headers={
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
    }
)

stream = client.chat.completions.create(
    model="gpt-5.2",
    messages=[{"role": "user", "content": "Write a poem about spring"}],
    stream=True
)

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

3. Supported models#

Crazyrouter supports 300+ AI models. Here are some popular ones:

VendorModel examplesFeatures
OpenAIgpt-5.2, gpt-5, gpt-4o, o3-pro, o3-miniStrong overall capability, supports multimodality
Anthropicclaude-opus-4.5, claude-4, claude-sonnet-4Long context, strong coding ability
Googlegemini-3.0-pro, gemini-3-flash, gemini-2.5-proMultimodal with strong reasoning capability
xAIgrok-3, grok-3-mini, grok-3-visionReal-time information and deep search
DeepSeekdeepseek-r1, deepseek-v3High cost-performance, excellent Chinese support

View the full model list: Model Marketplace

4. Common parameter descriptions#

ParameterTypeDescription
modelstringModel name, e.g. gpt-5.2
messagesarrayList of conversation messages
temperaturenumberRandomness, 0–2, default 1
max_tokensintegerMaximum number of output tokens
streambooleanWhether to use streaming output
top_pnumberNucleus sampling parameter, 0–1

5. Error handling#

python
from openai import OpenAI, APIError, RateLimitError

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://crazyrouter.com/v1"
,
    default_headers={
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
    }
)

try:
    response = client.chat.completions.create(
        model="gpt-5.2",
        messages=[{"role": "user", "content": "Hello!"}]
    )
except RateLimitError:
    print("Too many requests. Please try again later.")
except APIError as e:
    print(f"API error: {e}")

6. Next steps#


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