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/caiPublic

User friendly CLI tool for AI tasks. Stop thinking about LLMs and prompts, start getting results!

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Demo usage of cai in a terminal

Features

  • High level commands for great usability
    • cai value capital of Australia
    • cai image photo of a banana (OpenAI image generation)
    • cai google-image sunset over mountains (Google Gemini image generation)
    • cai ocr page.png
    • pbpaste | cai rewrite 'more professional'
    • Checkusage section for all commands
  • Build with Rust 🦀 for supreme performance and speed! 🏎️
  • Support for models by
  • Prompt several models at once. 🤼Demo of cai's all command
  • Syntax highlighting for better readability of code snippets. 🌈

Installation

$ cargo install cai

or install viaHomebrew:

$ brew install cai

Usage

Before using Cai, an API key must be set up.Simply executecai in your terminal and follow the instructions.

Cai supports the following APIs:

Afterwards, you can usecai to run prompts directly from the terminal:

cai List 10 fast CLI tools

Or a specific model, like Anthropic's Claude Opus:

cai opus list 10 fast CLI tools

Full help output:

$ cai helpCai 0.12.0User friendly CLI tool for AI tasksUsage: cai [OPTIONS] [PROMPT]... [COMMAND]Commands:  fast          Shortcut for `groq openai/gpt-oss-20b`  local         Shortcut for `ollama llama3.2`  value         Return only the value/answer without explanations  short         Answer the prompt in a short, compact, and focused manner  rewrite       Fix spelling, grammar, and wording issues in text passed via standard input  reply         Reply to a conversation passed via standard input. Add additional reply instructions as the prompt  image         Generate an image using GPT-5 image generation [aliases: img]  say           Convert text to speech using OpenAI's TTS model [aliases: tts]  transcribe    Transcribe an audio file  ocr           Extract text from an image  google-ocr    Extract text from an image using Google Gemini with high resolution [aliases: gocr]  rename        Analyze and rename files to timestamp + title (e.g. 2025-08-19t2041_invoice_car.pdf)  changelog     Generate a changelog starting from a given commit  commit        Commit modified files with AI-generated commit messages and group related changes into separate commits  svg           Generate an SVG graphic from a textual description  edit          Open your editor to write the prompt  config        Print the configuration settings loaded from the config file                                📚 MODELS                                                      all           Simultaneously send prompt to each provider's default model  google        Google [aliases: go]  gemini        - Gemini Pro shortcut [aliases: ge]  flash         - Gemini Flash shortcut [aliases: gf]  google-image  - Google Gemini Image shortcut [aliases: gimg]  groq          Groq [aliases: gr]  llama         - Llama 3 shortcut [aliases: ll]  cerebras      Cerebras [aliases: ce]  deepseek      DeepSeek [aliases: ds]  openai        OpenAI [aliases: op]  gpt5          - GPT-5 shortcut [aliases: gpt, gp]  gpt5m         - GPT-5 mini shortcut [aliases: gm]  gpt5n         - GPT-5 nano shortcut [aliases: gn]  gpt41         - gpt-4.1 shortcut  gpt41m        - gpt-4.1-mini shortcut  gpt41n        - gpt-4.1-nano shortcut  o1p           - o1-pro shortcut  anthropic     Anthropic [aliases: an]  opus          - Claude Opus [aliases: claude, cl]  sonnet        - Claude Sonnet [aliases: so]  haiku         - Claude Haiku [aliases: ha]  xai           xAI  grok          - Grok  perplexity    Perplexity [aliases: pe]  son           - Sonar  sonpro        - Sonar Pro [aliases: sp]  sonreas       - Sonar Reasoning [aliases: sr]  sonreaspro    - Sonar Reasoning Pro [aliases: srp]  sondeep       - Sonar Deep Research [aliases: sdr]  llamafile     Llamafile server hosted at http://localhost:8080 [aliases: lf]  ollama        Ollama server hosted at http://localhost:11434 [aliases: ol]                                💻 CODING                                                      bash          Use Bash development as the prompt context  c             Use C development as the prompt context  cpp           Use C++ development as the prompt context  cs            Use C# development as the prompt context  docker        Use Docker development as the prompt context  elm           Use Elm development as the prompt context  fish          Use Fish development as the prompt context  fs            Use F# development as the prompt context  gd            Use Godot and GDScript development as the prompt context  git           Use Git development as the prompt context  gl            Use Gleam development as the prompt context  golang        Use Go development as the prompt context  hs            Use Haskell development as the prompt context  java          Use Java development as the prompt context  js            Use JavaScript development as the prompt context  kt            Use Kotlin development as the prompt context  ly            Use LilyPond development as the prompt context  lua           Use Lua development as the prompt context  nix           Use Nix development as the prompt context  oc            Use OCaml development as the prompt context  php           Use PHP development as the prompt context  pg            Use Postgres development as the prompt context  ps            Use PureScript development as the prompt context  py            Use Python development as the prompt context  rb            Use Ruby development as the prompt context  rs            Use Rust development as the prompt context  sql           Use SQLite development as the prompt context  sw            Use Swift development as the prompt context  ts            Use TypeScript development as the prompt context  ty            Use Typst development as the prompt context  wl            Use Wolfram Language and Mathematica development as the prompt context  zig           Use Zig development as the prompt context  jq            Use jq development as the prompt context  help          Print this message or the help of the given subcommand(s)Arguments:  [PROMPT]...  The prompt to send to the AI modelOptions:  -r, --raw                        Print raw response without any metadata  -j, --json                       Prompt LLM in JSON output mode      --json-schema <JSON_SCHEMA>  JSON schema to validate the output against  -h, --help                       Print helpExamples:  # Send a prompt to the default model  cai Which year did the Titanic sink  # Send a prompt to each provider's default model  cai all Which year did the Titanic sink  # Send a prompt to Anthropic's Claude Opus  cai anthropic claude-opus Which year did the Titanic sink  cai an claude-opus Which year did the Titanic sink  cai cl Which year did the Titanic sink  cai anthropic claude-opus-4-1 Which year did the Titanic sink  # Send a prompt to locally running Ollama server  cai ollama llama3 Which year did the Titanic sink  cai ol ll Which year did the Titanic sink  # Use the `local` shortcut for using Ollama's default model  cai local Which year did the Titanic sink  # Add data via stdin  cat main.rs | cai Explain this code  # Get raw output without any metadata  cai --raw capital of Germany  # Use a JSON schema to specify the output format  cai --json-schema='{"properties":{"age":{"type":"number"}},"required":["age"]}' gp Barack Obama

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User friendly CLI tool for AI tasks. Stop thinking about LLMs and prompts, start getting results!

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