AIChat sigoden
winget install --id=sigoden.AIChat -e All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI tools & agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
AIChat is an all-in-one LLM CLI tool designed to integrate Shell Assistant, Chat-REPL, RAG (Retrieval-Augmented Generation), AI tools, and agents with support for multiple leading LLM providers.
Key Features:
- Multi-Provider Support: Seamlessly access models from OpenAI, Claude, Gemini, Ollama, Groq, Azure-OpenAI, VertexAI, Bedrock, and more through a unified interface.
- Shell Assistant: Transform natural language task descriptions into precise shell commands for enhanced productivity.
- Interactive Chat-REPL: Experience an advanced command-line interface with features like tab autocompletion, multi-line input support, history search, and customizable keybindings.
- RAG Integration: Incorporate external documents into conversations to improve accuracy and context-aware responses.
- Function Calling: Extend LLM capabilities by connecting them to external tools and data sources for advanced task automation.
- AI Agents: Create intelligent agents that combine prompts, tools (via function calling), and RAG to automate complex workflows.
- Built-in HTTP Server: Deploy AIChat locally with APIs for chat completions, embeddings, reranking, and interactive web interfaces like LLM Playground and Arena.
Audience & Benefit:
Ideal for developers, data scientists, and CLI users who need a versatile tool to streamline tasks, enhance productivity, and integrate AI capabilities into their workflows.
Install via winget or other package managers for easy setup.
README
AIChat: All-in-one LLM CLI Tool
AIChat is an all-in-one LLM CLI tool featuring Shell Assistant, CMD & REPL Mode, RAG, AI Tools & Agents, and More.
Install
Package Managers
- 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
Pre-built Binaries
Download pre-built binaries for macOS, Linux, and Windows from GitHub Releases, extract them, and add the aichat binary to your $PATH.
Features
Multi-Providers
Integrate seamlessly with over 20 leading LLM providers through a unified interface. Supported providers include OpenAI, Claude, Gemini (Google AI Studio), Ollama, Groq, Azure-OpenAI, VertexAI, Bedrock, Github Models, Mistral, Deepseek, AI21, XAI Grok, Cohere, Perplexity, Cloudflare, OpenRouter, Ernie, Qianwen, Moonshot, ZhipuAI, Lingyiwanwu, MiniMax, Deepinfra, VoyageAI, any OpenAI-Compatible API provider.
CMD Mode
Explore powerful command-line functionalities with AIChat's CMD mode.
REPL Mode
Experience an interactive Chat-REPL with features like tab autocompletion, multi-line input support, history search, configurable keybindings, and custom REPL prompts.
Shell Assistant
Elevate your command-line efficiency. Describe your tasks in natural language, and let AIChat transform them into precise shell commands. AIChat intelligently adjusts to your OS and shell environment.
Multi-Form Input
Accept diverse input forms such as stdin, local files and directories, and remote URLs, allowing flexibility in data handling.
| Input | CMD | REPL |
|---|---|---|
| CMD | aichat hello | |
| STDIN | cat data.txt | aichat | |
| Last Reply | .file %% | |
| Local files | aichat -f image.png -f data.txt | .file image.png data.txt |
| Local directories | aichat -f dir/ | .file dir/ |
| Remote URLs | aichat -f https://example.com | .file https://example.com |
| External commands | aichat -f '`git diff`' | .file `git diff` |
| Combine Inputs | aichat -f dir/ -f data.txt explain | .file dir/ data.txt -- explain |
Role
Customize roles to tailor LLM behavior, enhancing interaction efficiency and boosting productivity.
> The role consists of a prompt and model configuration.
Session
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.
Macro
Streamline repetitive tasks by combining a series of REPL commands into a custom macro.
RAG
Integrate external documents into your LLM conversations for more accurate and contextually relevant responses.
Function Calling
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.
AI Tools
Integrate external tools to automate tasks, retrieve information, and perform actions directly within your workflow.
AI Agents (CLI version of OpenAI GPTs)
AI Agent = Instructions (Prompt) + Tools (Function Callings) + Documents (RAG).
Local Server Capabilities
AIChat includes a lightweight built-in HTTP server for easy deployment.
$ 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
Proxy LLM APIs
The LLM Arena is a web-based platform where you can compare different LLMs side-by-side.
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/completions
LLM Playground
A web application to interact with supported LLMs directly from your browser.
LLM Arena
A web platform to compare different LLMs side-by-side.
Custom Themes
AIChat supports custom dark and light themes, which highlight response text and code blocks.
Documentation
- Chat-REPL Guide
- Command-Line Guide
- Role Guide
- Macro Guide
- RAG Guide
- Environment Variables
- Configuration Guide
- Custom Theme
- Custom REPL Prompt
- FAQ
License
Copyright (c) 2023-2025 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.