ai-integrations-openrouter

Proxy OpenRouter chat completions through Replit AI Integrations without a personal API key.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/CRAJKUMARSINGH/M3_Bridge --skill ai-integrations-openrouter-crajkumarsingh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-integrations-openrouter
Source: https://github.com/CRAJKUMARSINGH/M3_Bridge/tree/main/.local/skills/ai-integrations-openrouter
Command: npx skills add https://github.com/CRAJKUMARSINGH/M3_Bridge --skill ai-integrations-openrouter-crajkumarsingh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a drop-in OpenRouter AI integration that proxies requests via Replit AI Integrations, enabling access to OpenRouter-compatible chat APIs without provisioning a personal API key.

Core Features & Use Cases

  • Proxy-based access to OpenRouter chat completions
  • Access to long-tail models from providers (xAI, Meta, Microsoft, Mistral, Qwen, Nvidia, and more)
  • Guidelines for Agent Stack and LLM provider setup to ensure consistent, production-ready behavior

Quick Start

Provision the OpenRouter integration as described and begin using chat completions without supplying your own API key.

Frequently Asked Questions about ai-integrations-openrouter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I access OpenRouter chat completions without my own API key?

You can access OpenRouter chat completions without your own API key by proxying requests through the Replit AI Integrations proxy. This requires setting the AI_INTEGRATIONS_OPENROUTER_BASE_URL and AI_INTEGRATIONS_OPENROUTER_API_KEY environment variables.

What providers and models are available through the OpenRouter proxy integration?

The OpenRouter proxy integration provides access to long-tail chat completion models from multiple providers, including xAI, Meta, Microsoft, Mistral, Qwen, and Nvidia.

How do I set up environment variables for OpenRouter AI integration in JavaScript?

To set up the OpenRouter AI integration, you must provision the AI_INTEGRATIONS_OPENROUTER_BASE_URL and AI_INTEGRATIONS_OPENROUTER_API_KEY environment variables, then follow the configuration steps outlined in the SKILL.md documentation.

Can I use this OpenRouter proxy integration for production chat features?

Yes, this integration is designed for developers building production-ready chat-based features. It includes guidelines for Agent Stack and LLM provider setup to ensure consistent behavior across your application.

Does this integration work with TypeScript and JavaScript applications?

Yes, the OpenRouter proxy integration supports both TypeScript and JavaScript environments, allowing you to implement chat completions and AI integrations seamlessly within your web applications.

Why should I use a proxy for OpenRouter LLM access instead of direct API calls?

Using a proxy for OpenRouter LLM access eliminates the need to manage personal API keys directly in your application. It simplifies the integration process while maintaining access to multiple AI providers for chat completions.