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🚀 Release v0.1.11 – “Full-Stack Agentic Rails Bundle”
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@KodyKendall KodyKendall released this 11 Jul 21:34
· 32 commits to main since this release
v0.1.11
34c015d

✨ Overview

This release marks the first fully stable, end-to-end integration between all three core components of the LlamaPress AI platform:

  • LlamaPress (Rails flagship app)

  • llama_bot_rails (Rails Gem)

  • LlamaBot (FastAPI/LangGraph/Python backend)

All components in v0.1.11 are designed, tested, and verified to work seamlessly together, delivering the smoothest developer experience yet for bringing AI agent capabilities into real Ruby on Rails applications.

đź”— Compatibility

LlamaPress | llama_bot_rails Gem | LlamaBot Backend -- | -- | -- v0.1.11 | v0.1.11 | v0.1.11

🎯 What’s New

  • Stable Full-Stack Integration:
    End-to-end compatibility between Rails app, agentic Gem, and Python backend.

  • Frictionless Developer Experience:

    • One-line setup: git clone, bash bin/init, docker-compose up

    • Automatic submodule & dependency management

    • Interactive prompt for OpenAI API key

  • Seamless Local Development:

    • Docker-based workflow—no need for preinstalled Ruby, Rails, or Python

    • All major setup, DB, and environment tasks handled automatically

  • Agentic Chatbot in Rails:

    • Instantly chat with LlamaBot inside your Rails app UI after launch

    • Real Rails models, controllers, and DBs—fully hackable and extensible

  • Production-Ready Structure:

    • Locked, versioned dependencies for all major services

    • Clear compatibility between all components

🧑‍💻 Getting Started

git clone --recursive https://github.com/your-org/llamapress.git
bash bin/init   # Paste your OpenAI API key when prompted
docker-compose up
# Then visit http://localhost:3000/llama_bot

đź“ť Notes

  • Make sure to use v0.1.11 for all three components for the best, stable experience.

  • See README for further documentation, customization tips, and contribution guidelines.

🙏 Special Thanks

Huge thanks to early testers, contributors, and the Rails/LangGraph community for helping us hit this milestone.

Let us know what you build!
PRs, feedback, and stars are always welcome. 🚀

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