aipack 0.6.1

Command Agent runner to accelerate production coding with genai.
aipack-0.6.1 is not a library.

IMPORTANT NOTICE - from v0.6.0 onward - AIPACK (rename from devai)

  • This project is rebranding to aipack, a more suitable name for its future development.

  • This repo is now https://github.com/aipack-ai/aipack.

  • same codebase, same feature set, same licenses (MIT or Apache)

  • But now aipack centric, which is going to bring huge value for the users and community.

You can find more information in the following discussion #51

aipack - Build, Run, Share

DISCLAIMER: Right now, it works on Linux & Mac. Use WSL on Windows (for now).

  • The cool thing is the aip .. can run on WSL, and then use VSCode on the same project, and all is good.

For now, install with cargo install aipack

Then,

# initialize workspace .aipack/ and ~/.aipack-base
aip init

# To proof read your README.md (namespace: demo, pack_name: proof)
aip run demo@proof -f ./README.md

# You can just use @pack_name if there is no other packname of this name
aip run @proof -f ./README.md

# To do some code crafting (will create _craft-code.md)
aip run demo@craft/code

# Or create your .aip file (you can omit the .aip)
aip run path/to/file.aip

IMPORTANT 1: Make sure everything is committed before usage (at least while you are learning about aipack).

IMPORTANT 2: Make sure to have your API_KEY in an environment variable (on Mac, there is an experimental keychain support)

OPENAI_API_KEY
ANTHROPIC_API_KEY
GEMINI_API_KEY
XAI_API_KEY
DEEPSEEK_API_KEY
GROQ_API_KEY
COHERE_API_KEY

  • Website: https://aipack.ai

  • Full intro video for v0.5 (still old devai name, but same concept)

  • Built on top of the Rust genai library, which supports all the top AI providers and models (OpenAI, Anthropic, Gemini, DeepSeek, Groq, Ollama, xAI, and Cohere).

  • Top new features:

    • 2025-02-26 (v0.6.0) - BIG UPDATE - to AIPACK, now with pack support (aip run demo@craft/code)
    • 2025-02-22 (v0.5.11) - Huge update with parametric agents, and coder (more info soon)
    • 2025-01-27 (v0.5.9) - Deepseek distill models support for Groq and Ollama (local)
    • 2025-01-23 (v0.5.7) - aipack run craft/text or aipack run craft/code (example of cool new agent module support)
    • 2025-01-06 (v0.5.4) - DeepSeek deepseek-chat support
    • 2024-12-08 (v0.5.1) - Added support for xAI

  • WINDOWS DISCLAIMER:

    • This CLI uses a path scheme from Mac/Unix-like systems, which might not function correctly in the Windows bat command line.
    • Full Windows local path support is in development.
    • RECOMMENDATION: Use PowerShell or WSL on Windows. Please log issues if small changes can accommodate Windows PowerShell/WSL.

  • Thanks to

Install

For now, the simplest way to install is with cargo install aipack.

How it works

  • One Agent == One Markdown
    • A .aip Agent file is just a Markdown File with sections for each stage of the agent processing.
    • See below for all the possible stages.
  • aip run demo@proof -f "./*.md"
    • will run the installed Agent file main.aip in the
    • pack name proof
    • namespace demo
    • agent file main.aip
    • Full path ~/.aipack-base/pack/installed/demo/proof/main.aip
    • You can pass input to your agent with
      • -f "path/with/optional/**/glob.*" -f "README.md (then the lua code will get a {path = .., name =..} FileMeta type of structure as input)
      • -i "some string" -i "another input" (then the lua code will get those strings as input)
      • Each input will be one run of the agent.
  • aip run some/path/to/agent
    • can end with .aip in this case direct file run
    • if no .aip extension, then,
      • ...agent.aip will be executed if exists
      • or ...agent/main.aip will be executed if exists
  • aipack agents are simple .aip files that can be placed anywhere on disk.
    • e.g., aipack run ./my-path/to/my-agent.aipack ...
  • Multi AI Provider / Models - aipack uses genai and therefore supports OpenAI, Anthropic, Gemini, Groq, Ollama, Cohere, and more to come.
  • Lua is used for all scripting (thanks to the great mlua crate).
  • Handlebars is used for all prompt templating (thanks to the great Rust native handlebars crate).

Multi Stage

A single aipack file may comprise any of the following stages.

Stage Language Description
# Before All Lua Reshape/generate inputs and add command global data to scope (the "map" of the map/reduce capability).
# Data Lua Gather additional data per input and return it for the next stages.
# System Handlebars Customize the prompt with the data and before_all data.
# Instruction Handlebars Customize the prompt with the data and before_all data.
# Assistant Handlebars Optional for special customizations, such as the "Jedi Mind Trick."
# Output Lua Processes the ai_response from the LLM. Otherwise, ai_response.content will be output to the terminal.
# After All Lua Called with inputs and outputs for post-processing after all inputs are completed.
  • # Before All / # After All can be considered as the map/reduce of the agent, and these will be run before and after the input processing.

more info on stages

aipack doc

See the aipack documentation at _init/doc/README.md (With Lua modules doc)

You can also run the ask-aipack agent.

# IMPORTANT - Make sure you have the `OPENAI_API_KEY` or the key of your model in your environment
aipack run ask-aipack

# and then open the `.aipack/tmp/ask-aipack.md`

Future Plans

  • More Lua functions
  • Agent module my-module may run my-module/main.aip, and running my-module/some-other will run my-module/some-other.aip
  • Support Lua Require
  • Full TUI/Ratatui
  • Split runtime to agentic