llm-models

LLM Models via OpenRouter

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Install skill "llm-models" with this command: npx skills add inference-sh/skills@infsh-cli

LLM Models via OpenRouter

Access 100+ language models via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt ). Install instructions

belt login

Call Claude Sonnet

belt app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'

Available Models

Model App ID Best For

Claude Opus 4.5 openrouter/claude-opus-45

Complex reasoning, coding

Claude Sonnet 4.5 openrouter/claude-sonnet-45

Balanced performance

Claude Haiku 4.5 openrouter/claude-haiku-45

Fast, economical

Gemini 3 Pro openrouter/gemini-3-pro-preview

Google's latest

Kimi K2 Thinking openrouter/kimi-k2-thinking

Multi-step reasoning

GLM-4.6 openrouter/glm-46

Open-source, coding

Intellect 3 openrouter/intellect-3

General purpose

Any Model openrouter/any-model

Auto-selects best option

Search LLM Apps

belt app list --search "openrouter" belt app list --search "claude"

Examples

Claude Opus (Best Quality)

belt app run openrouter/claude-opus-45 --input '{ "prompt": "Write a Python function to detect palindromes with comprehensive tests" }'

Claude Sonnet (Balanced)

belt app run openrouter/claude-sonnet-45 --input '{ "prompt": "Summarize the key concepts of machine learning" }'

Claude Haiku (Fast & Cheap)

belt app run openrouter/claude-haiku-45 --input '{ "prompt": "Translate this to French: Hello, how are you?" }'

Kimi K2 (Thinking Agent)

belt app run openrouter/kimi-k2-thinking --input '{ "prompt": "Plan a step-by-step approach to build a web scraper" }'

Any Model (Auto-Select)

Automatically picks the most cost-effective model

belt app run openrouter/any-model --input '{ "prompt": "What is the capital of France?" }'

With System Prompt

belt app sample openrouter/claude-sonnet-45 --save input.json

Edit input.json:

{

"system": "You are a helpful coding assistant",

"prompt": "How do I read a file in Python?"

}

belt app run openrouter/claude-sonnet-45 --input input.json

Use Cases

  • Coding: Generate, review, debug code

  • Writing: Content, summaries, translations

  • Analysis: Data interpretation, research

  • Agents: Build AI-powered workflows

  • Chat: Conversational interfaces

Related Skills

Full platform skill (all 250+ apps)

npx skills add inference-sh/skills@infsh-cli

Web search (combine with LLMs for RAG)

npx skills add inference-sh/skills@web-search

Image generation

npx skills add inference-sh/skills@ai-image-generation

Video generation

npx skills add inference-sh/skills@ai-video-generation

Browse all apps: belt app list

Documentation

  • Agents Overview - Building AI agents

  • Agent SDK - Programmatic agent control

  • Building a Research Agent - LLM + search integration guide

Source Transparency

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