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AMGrobelnik
AMGrobelnikCOMMUNITY
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aii_openrouter_llms

Search, inspect, and call OpenRouter API large language models via Python CLI.

1|Updated Feb 27, 2026
Search Tags:#api#ai#llm#openrouter#language models#model search
One-click install
npx skills add https://github.com/AMGrobelnik/ai-inventor-old3 --skill aii-openrouter-llms
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aii_openrouter_llms
Source: https://github.com/AMGrobelnik/ai-inventor-old3/tree/main/.claude/skills/aii_openrouter_llms
Command: npx skills add https://github.com/AMGrobelnik/ai-inventor-old3 --skill aii-openrouter-llms

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, requests, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a unified interface to search, inspect, and call a vast array of Large Language Models (LLMs) available through the OpenRouter API, simplifying the process of finding and utilizing the best model for specific tasks.

Core Features & Use Cases

  • Model Discovery: Search OpenRouter's catalog for LLMs based on keywords, providers, or model families, with details on context length and pricing.
  • Parameter Inspection: Retrieve detailed information about a specific model's capabilities and supported parameters.
  • LLM Calling: Execute API calls to selected models with customizable parameters like temperature, max tokens, and system instructions, including optional web search integration.
  • Use Case: Quickly find and test different LLMs (e.g., Claude, GPT, Gemini) to compare their performance and cost-effectiveness for a content generation task.

Quick Start

Search for all available Claude models from OpenRouter.

Frequently Asked Questions about aii_openrouter_llms

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

FAQPage Schema
How do I search and compare LLMs available through the OpenRouter API?▼

You can search and compare LLMs through the OpenRouter API by querying its catalog based on keywords, providers, or model families to retrieve details on context length and pricing.

What parameters can I customize when calling language models via OpenRouter?▼

When calling language models via OpenRouter, you can customize parameters like temperature, max tokens, system instructions, and optionally enable web search integration.

Can I retrieve specific model capabilities and supported parameters before making an API call?▼

Yes, you can retrieve detailed information about a specific model's capabilities and supported parameters directly from the OpenRouter API before executing your call.

Do I need Python and specific libraries to interact with the OpenRouter API endpoints?▼

Yes, interacting with these OpenRouter API endpoints requires Python scripts utilizing the httpx and requests libraries to handle direct CLI communication.

What is the best way to find a cost-effective LLM for a specific content generation task?▼

The best way to find a cost-effective LLM is to search OpenRouter's catalog, inspect model capabilities and pricing, and execute test API calls to compare performance for your task.

Does this approach support models with reasoning and web search integration features?▼

Yes, this approach supports selecting and calling models based on specific features like reasoning capabilities, temperature control, and optional web search integration.

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