[Pioneering]: codegate in smolagents

[lukehinds]

smolagents - a smol library to build agents and the idea is to explore ways of pairing with codegate.

smolagents is a library that enables you to run powerful agents in a few lines of code. It offers:

✨ Simplicity: the logic for agents fits in 1,000 lines of code (see agents.py). We kept abstractions to their minimal shape above raw code!

🧑‍💻 First-class support for Code Agents. Our CodeAgent writes its actions in code (as opposed to "agents being used to write code"). To make it secure, we support executing in sandboxed environments via E2B.

🤗 Hub integrations: you can share/pull tools to/from the Hub, and more is to come!

🌐 Model-agnostic: smolagents supports any LLM. It can be a local transformers or ollama model, one of many providers on the Hub, or any model from OpenAI, Anthropic and many others via our LiteLLM integration.

👁️ Modality-agnostic: Agents support text, vision, video, even audio inputs! Cf this tutorial for vision.

🛠️ Tool-agnostic: you can use tools from LangChain, Anthropic's MCP, you can even use a Hub Space as a tool.

Full documentation can be found here.

[lukehinds]

@ptelang I see you assigned this, any update or help needed?

[jhrozek]

@ptelang should this be in progress?

[lukehinds]

unassigned for now, feel free to assign when you pick up the work @ptelang

[ptelang]

@lukehinds , Sorry I missed your comments. I am working on this. I have seen some issues with smolagent working with codegate. I will update this issue with more comments soon.