Can I track the cost of my AI calls?

Yes, the skill provides detailed token usage data and cost calculations in dollars based on OpenRouter's current pricing for each specific model.

Do I need an API key to use this skill?

Yes, you must have an OpenRouter account and set the OPENROUTER_API_KEY environment variable to authenticate and make API calls.

How does the :nitro modifier work?

Appending :nitro to a model name (e.g., anthropic/claude-3-sonnet:nitro) automatically routes your request to the fastest available provider for that specific model.

Does this skill support web search?

Yes, by using the :online modifier with compatible models, you can enable real-time web search capabilities for your queries through OpenRouter.

What is the OpenRouter Claude Code skill?

It is a specialized capability that allows Claude to call, compare, and benchmark hundreds of different AI models from providers like OpenAI, Google, and Meta using the OpenRouter unified API.

OpenRouter Multi-Model Access

Name: OpenRouter Multi-Model Access
Author: rawwerks

byrawwerks

데이터 과학 및 ML

Access and benchmark hundreds of LLM models through a unified API to optimize for cost, performance, and response quality.

소개

This skill enables Claude to interact with the OpenRouter API, providing a bridge to a vast library of large language models including OpenAI, Anthropic, Google Gemini, and Meta Llama. It simplifies the process of testing different models, comparing their outputs, and monitoring real-time metrics such as cost per token and response latency. With built-in support for speed modifiers like :nitro and web-search capabilities via :online, it serves as a powerful utility for developers looking to find the optimal model-provider combination for specific tasks or to build model-agnostic applications without managing multiple API integrations.

주요 기능

Automated model comparison and benchmarking capabilities
Unified API interface for hundreds of LLMs from all major providers
0 GitHub stars
Programmatic access to model rankings and provider performance data
Real-time cost calculation and latency tracking for every request
Support for specialized routing modifiers like :nitro and :online

사용 사례

Benchmarking provider latency and throughput to ensure production-grade speed and reliability
Comparing responses across different LLMs to find the highest quality output for specific prompts
Optimizing application costs by identifying cheaper high-performance alternatives for routine tasks

소개

주요 기능

Automated model comparison and benchmarking capabilities
Unified API interface for hundreds of LLMs from all major providers
0 GitHub stars
Programmatic access to model rankings and provider performance data
Real-time cost calculation and latency tracking for every request
Support for specialized routing modifiers like :nitro and :online

사용 사례

Benchmarking provider latency and throughput to ensure production-grade speed and reliability
Comparing responses across different LLMs to find the highest quality output for specific prompts
Optimizing application costs by identifying cheaper high-performance alternatives for routine tasks