llm-models
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api,
Install
npx skills add https://github.com/inference-sh/skills --skill llm-modelsSKILL.md
Install the belt CLI skill:
npx skills add belt-sh/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 search "openrouter"
belt app 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 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
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