llm-models

# LLM Models via OpenRouter Access 100+ language models via [inference.sh](https://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](https://cli.inference.sh) 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](https://dist.inference.sh/cli/checksums.txt) 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](https://inference.sh/docs/concepts/agents) - Building AI agents - [Agent SDK](https://inference.sh/docs/api/agent/overview) - Programmatic agent control - [Building a Research Agent](https://inference.sh/blog/guides/research-agent) - LLM + search integration guide