Llm Models
/install llm-models
LLM Models via OpenRouter
Access 100+ language models via inference.sh CLI.

Quick Start
curl -fsSL https://cli.inference.sh | sh && infsh login
# Call Claude Sonnet
infsh app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'
Install note: The install script only detects your OS/architecture, downloads the matching binary from
dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.
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
infsh app list --search "openrouter"
infsh app list --search "claude"
Examples
Claude Opus (Best Quality)
infsh app run openrouter/claude-opus-45 --input '{
"prompt": "Write a Python function to detect palindromes with comprehensive tests"
}'
Claude Sonnet (Balanced)
infsh app run openrouter/claude-sonnet-45 --input '{
"prompt": "Summarize the key concepts of machine learning"
}'
Claude Haiku (Fast & Cheap)
infsh app run openrouter/claude-haiku-45 --input '{
"prompt": "Translate this to French: Hello, how are you?"
}'
Kimi K2 (Thinking Agent)
infsh 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
infsh app run openrouter/any-model --input '{
"prompt": "What is the capital of France?"
}'
With System Prompt
infsh 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?"
# }
infsh 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 150+ apps)
npx skills add inference-sh/skills@inference-sh
# 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: infsh app list
Documentation
- Agents Overview - Building AI agents
- Agent SDK - Programmatic agent control
- Building a Research Agent - LLM + search integration guide
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install llm-models - 安装完成后,直接呼叫该 Skill 的名称或使用
/llm-models触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Llm Models 是什么?
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1426 次。
如何安装 Llm Models?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install llm-models」即可一键安装,无需额外配置。
Llm Models 是免费的吗?
是的,Llm Models 完全免费(开源免费),可自由下载、安装和使用。
Llm Models 支持哪些平台?
Llm Models 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Llm Models?
由 Ömer Karışman(@okaris)开发并维护,当前版本 v0.1.5。