openrouter

OpenRouter Skill

Comprehensive assistance with OpenRouter API development, providing unified access to hundreds of AI models through a single endpoint with intelligent routing, automatic fallbacks, and standardized interfaces.

When to Use This Skill

This skill should be triggered when:

• Making API calls to multiple AI model providers through a unified interface
• Implementing model fallback strategies or auto-routing
• Working with OpenAI-compatible SDKs but targeting multiple providers
• Configuring advanced sampling parameters (temperature, top_p, penalties)
• Setting up streaming responses or structured JSON outputs
• Comparing costs across different AI models
• Building applications that need automatic provider failover
• Implementing function/tool calling across different models
• Questions about OpenRouter-specific features (routing, fallbacks, zero completion insurance)

Quick Reference

Basic Chat Completion (Python)

from openai import OpenAI

client = OpenAI(
  base_url="https://openrouter.ai/api/v1",
  api_key="<OPENROUTER_API_KEY>",
)

completion = client.chat.completions.create(
  model="openai/gpt-4o",
  messages=[{"role": "user", "content": "What is the meaning of life?"}]
)
print(completion.choices[0].message.content)

Basic Chat Completion (JavaScript/TypeScript)

import OpenAI from 'openai';

const openai = new OpenAI({
  baseURL: 'https://openrouter.ai/api/v1',
  apiKey: '<OPENROUTER_API_KEY>',
});

const completion = await openai.chat.completions.create({
  model: 'openai/gpt-4o',
  messages: [{"role": 'user', "content": 'What is the meaning of life?'}],
});
console.log(completion.choices[0].message);

cURL Request

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -d '{
    "model": "openai/gpt-4o",
    "messages": [{"role": "user", "content": "What is the meaning of life?"}]
  }'

Model Fallback Configuration (Python)

completion = client.chat.completions.create(
    model="openai/gpt-4o",
    extra_body={
        "models": ["anthropic/claude-3.5-sonnet", "gryphe/mythomax-l2-13b"],
    },
    messages=[{"role": "user", "content": "Your prompt here"}]
)