Llm Models
FlaggedAccess 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...
$ Add to .claude/skills/ About This Skill
# LLM Models via OpenRouter
Access 100+ language models via inference.sh CLI.
Quick Start
```bash 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
```bash infsh app list --search "openrouter" infsh app list --search "claude" ```
Examples
Claude Opus (Best Quality)
```bash infsh app run openrouter/claude-opus-45 --input '{ "prompt": "Write a Python function to detect palindromes with comprehensive tests" }' ```
Claude Sonnet (Balanced)
```bash infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "Summarize the key concepts of machine learning" }' ```
Claude Haiku (Fast & Cheap)
```bash infsh app run openrouter/claude-haiku-45 --input '{ "prompt": "Translate this to French: Hello, how are you?" }' ```
Kimi K2 (Thinking Agent)
```bash infsh app run openrouter/kimi-k2-thinking --input '{ "prompt": "Plan a step-by-step approach to build a web scraper" }' ```
Any Model (Auto-Select)
```bash # Automatically picks the most cost-effective model infsh app run openrouter/any-model --input '{ "prompt": "What is the capital of France?" }' ```
With System Prompt
```bash 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
```bash # 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
Use Cases
- Access Claude, Gemini, Kimi, GLM, and 100+ LLMs via inference.sh CLI
- Route requests to different LLM providers through OpenRouter integration
- Compare outputs across multiple AI models for quality evaluation
- Build multi-model workflows that select the best model per task
- Access latest models including Claude Opus 4.5, Gemini 3, and DeepSeek R1
Pros & Cons
Pros
- +Compatible with multiple platforms including claude-code, openclaw
- +Well-documented with detailed usage instructions and examples
- +Strong community adoption with a large number of downloads
- +Automation-first design reduces manual intervention
Cons
- -No built-in analytics or usage metrics dashboard
- -Configuration may require familiarity with ai & machine learning concepts
FAQ
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