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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...
通过 inference.sh CLI 使用 OpenRouter 接入 Claude、Gemini、Kimi、GLM 及 100 多个大语言模型(包括 Claude Opus 4.5、Gemini 3 等)。
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开发者工具 clawhub v0.1.5 1 版本 99946.5 Key: 需要
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概述

LLM Models via OpenRouter

Access 100+ language models via inference.sh CLI.

!LLM Models via OpenRouter

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

ModelApp IDBest For
-------------------------
Claude Opus 4.5openrouter/claude-opus-45Complex reasoning, coding
Claude Sonnet 4.5openrouter/claude-sonnet-45Balanced performance
Claude Haiku 4.5openrouter/claude-haiku-45Fast, economical
Gemini 3 Proopenrouter/gemini-3-pro-previewGoogle's latest
Kimi K2 Thinkingopenrouter/kimi-k2-thinkingMulti-step reasoning
GLM-4.6openrouter/glm-46Open-source, coding
Intellect 3openrouter/intellect-3General purpose
Any Modelopenrouter/any-modelAuto-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

版本历史

共 1 个版本

  • v0.1.5 当前
    2026-03-28 21:32 安全 安全

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