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Gentopia

License: MIT PyPI Read the Docs Static Badge Static Badge Open Issues Dependency Status

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Gentopia is a lightweight and extensible framework for LLM-driven Agents and ALM research. It provides essential components to build, test and evaluate agents. At its core, Gentopia aims to assemble an agent with a single config, thus minimizing your effort in building, tuning, and sharing agents.

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Gentopia maintains an agent platform GentPool to share specialized agents, where your agent interacts with other agents by cloning, hierarchical plug-in, or sharing environment. We provide a unique agent benchmark for holistic evaluation.

Motivation 🧠

Agent practitioners start to realize the difficulty in tuning a "well-rounded" agent with tons of tools or instructions in a single layer. Recent studies like TinyStories, Specializing Reasoning, Let's Verify SbS, ReWOO, etc. also point us towards an intuitive yet undervalued direction 👉

An LLM is more capable if you create a context/distribution shift specialized to some target tasks.

Sadly, there is no silver bullet for agent specialization. For example, you can

  • Simply add Let's think step by step. in your prompt for more accurate Math QA.
  • Give a few-shot exemplar in your prompt to guide a better reasoning trajectory for novel plotting.
  • Supervise fine-tuning (SFT) your 70B llama2 like this to match reasoning of 175B GPT-3.5.
  • Tune your agent paradigm like this demo to easily half the execution time for Seach & Summarize.
  • And more ...

Isn't it beautiful if one shares his effort in specialized intelligence, allowing others to reproduce, build on, or interact with it? 🤗 This belief inspires us to build Gentopia, designed for agent specialization, sharing, and interaction, to stackingly achieve collective growth towards greater intelligence..

Core Features 💡

  • ⚙️ Config-driven agent assembling and chat.
  • 🚀 Large amount of prebuilt agent types, LLM clients, tools, memory systems, and more.
  • 🪶 Lightweight and highly extensible implementation of essential components.
  • 🧪 Aligning with state-of-the-art AI research.
  • 🤝 Enabling multi-agent interactions.
  • 🦁 Unique platform of agent zoo and eval benchmark.

Quick Start 🍏

conda create --name gentenv python=3.10
conda activate gentenv
pip install gentopia

or if you want to build with open LLMs locally 👉 pip install gentopia[huggingface]

First time to Gentopia? Grab a coffee ☕ and

Take ~ 8 mins to check out the following demo tutorials YouTube Channel Subscribers

Or check out the Quick Start Doc.

Documentation 📖

See here for full documentation.

🌟 Highlight Topics 🌟

News 👷

[Oct 7] The companion paper was accepted by #EMNLP 23. See you in Singapore! 🦙🌎

[Aug 6] We've submitted our work as a paper for EMNLP 2023. Special thanks to the research team and professors from NCSU, GMU, and CMU for collaboration :)

Join us! 🌎

Participate in this Utopia of superintelligence and help it grows! As a fully open-source project, we develop under public advice, ideas, and supervision. Meanwhile, here are ways you may contribute to Gentopia.

  • 🐛 Post an issue requesting necessary bug fixes, additional features, or roadmap suggestions. (Check closed ones first)
  • 🎯 Our dev team meets weekly to groom backlog into tickets. While we work on them, you can pick up others and create a Pull Request to request a merge. We always welcome new members in this way.
  • 🤝 Share your specialized agent to GentPool! Create an Agent PR (example) to merge your well-tuned agent into the pool. This allows others to use or build upon your agent.
  • ⭐ Help us spread! Give us a star, follow us on Twitter, join our Discord, and share with your friends!