AIChat is an all-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, and More.
- Rust Developers:
cargo install aichat - Homebrew/Linuxbrew Users:
brew install aichat - Pacman Users:
pacman -S aichat - Windows Scoop Users:
scoop install aichat - Android Termux Users:
pkg install aichat
Download pre-built binaries for macOS, Linux, and Windows from GitHub Releases, extract them, and add the aichat binary to your $PATH.
Seamlessly integrate with over 20 leading LLM platforms via a unified interface, including OpenAI, Claude, Gemini (Google AI Studio), Ollama, Groq, Azure-OpenAI, VertexAI, Bedrock, Huggingface, Github Models, Mistral, Deepseek, AI21, XAI Grok, Cohere, Perplexity, Cloudflare, OpenRouter, Ernie, Qianwen, Moonshot, ZhipuAI, Lingyiwanwu, Deepinfra, Fireworks, Siliconflow, Together, Jina, VoyageAI, and any OpenAI-Compatible platforms.
Supercharge your command line experience. Simply describe your desired actions in natural language, and let AIChat translate your requests into precise shell commands.
OS-Aware Intelligence: AIChat tailors commands to your specific operating system and shell environment.
Bring a powerful Chat-REPL with features such as tab autocompletion, multi-line support, history search, configurable keybindings, and custom REPL prompt.
Accept various forms of input, such as stdin, local files & dirs, and remote URLs.
| Input | Example |
|---|---|
| CMD input | aichat hello |
| Stdin pipe | cat data.txt | aichat |
| Local files | aichat -f data.txt |
| Local images | aichat -f image.png |
| Local directories | aichat -f dir/ |
| Remote URLs | aichat -f https://example.com |
| Combine Inputs | aichat -f dir/ -f data.txt explain |
Define custom roles to tailor LLM behaviors, enhancing interactions and boosting productivity.
The role consists of a prompt and model configuration.
Maintain context-aware conversations through sessions, ensuring continuity in interactions.
The left side uses a session, while the right side does not use a session.
Integrate external documents into your LLM conversations for more accurate and contextually relevant responses.
Function calling supercharges LLMs by connecting them to external tools and data sources. This unlocks a world of possibilities, enabling LLMs to go beyond their core capabilities and tackle a wider range of tasks.
We have created a new repository https://github.com/sigoden/llm-functions to help you make the most of this feature.
Integrate external tools to automate tasks, retrieve information, and perform actions directly within your workflow.
AI Agent = Instructions (Prompt) + Tools (Function Callings) + Documents (RAG).
AIChat comes with a built-in lightweight http server.
$ aichat --serve
Chat Completions API: http://127.0.0.1:8000/v1/chat/completions
Embeddings API: http://127.0.0.1:8000/v1/embeddings
Rerank API: http://127.0.0.1:8000/v1/rerank
LLM Playground: http://127.0.0.1:8000/playground
LLM Arena: http://127.0.0.1:8000/arena?num=2
AIChat offers the ability to function as a proxy server for all LLMs. This allows you to interact with different LLMs using the familiar OpenAI API format, simplifying the process of accessing and utilizing these LLMs.
Test with curl:
curl -X POST -H "Content-Type: application/json" -d '{
"model":"claude:claude-3-5-sonnet-20240620",
"messages":[{"role":"user","content":"hello"}],
"stream":true
}' http://127.0.0.1:8000/v1/chat/completionsThe LLM Playground is a webapp that allows you to interact with any LLM supported by AIChat directly in your browser.
The LLM Arena is a web-based platform where you can compare different LLMs side-by-side.
AIChat supports custom dark and light themes, which highlight response text and code blocks.
- Chat-REPL Guide
- Command-Line Guide
- Role Guide
- RAG Guide
- Environment Variables
- Configuration Guide
- Custom Theme
- Custom REPL Prompt
- FAQ
Copyright (c) 2023-2024 aichat-developers.
AIChat is made available under the terms of either the MIT License or the Apache License 2.0, at your option.
See the LICENSE-APACHE and LICENSE-MIT files for license details.
