by graniet · Agent Tool · ★ 352
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
LLM Note: This crate name previously belonged to another project. The current implementation represents a new and different library. The previous crate is now archived and will not receive any updates. ref: https://github.com/rustformers/llm LLM is a Rust library that lets you use multiple LLM backends in a single project: OpenAI, Anthropic (Claude), Ollama, DeepSeek, xAI, Phind, Groq, Google, Cohere, Mistral, Hugging Face and ElevenLabs. With a unified API and builder style - similar to the Stripe experience - you can easily create chat, text completion, speak-to-text requests without multiplying structures and crates. Key Features Multi-backend: Manage OpenAI, Anthropic, Ollama, DeepSeek, xAI, Phind, Groq, OpenRouter, Cohere, Elevenlabs and Google through a single entry point. Multi-step chains: Create multi-step chains with different backends at each step. Templates: Use templates to create complex prompts with variables. Builder pattern: Configure your LLM (mod
| Stars | 352 |
| Forks | 86 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 30.7/100 |
| Open Issues | 30 |
| Last Updated | 2026-06-06 |
| Created | 2025-01-15 |
| Platforms | claude-code, cli, gemini, rust |
| Est. Tokens | ~123k |
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llm is A powerful Rust library and CLI tool to unify and orchestrate multiple LLM, Agent and voice backends (OpenAI, Claude, Gemini, Ollama, ElevenLabs...) with a single, extensible API. Build, chain, evalua. It is categorized as a Agent Tool with 352 GitHub stars.
llm is primarily written in Rust.
You can find installation instructions and usage details in the llm GitHub repository at github.com/graniet/llm. The project has 352 stars and 86 forks, indicating an active community.
llm is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm on Agent Skills Hub include claude-forge, excalidraw-diagram-skill, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.