Smolagents
Last Updated on: Dec 19, 2025
Smolagents
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What is Smolagents?
Smolagents is a minimalist yet powerful Python library designed to create intelligent agents that think and act through code. It enables developers to build agents that write their actions as Python code snippets, making the agent's logic clear and easy to customize. Supporting various language models (LLMs) from local transformers to open AI services, smolagents offers a flexible, model-agnostic framework for running agents. With sandboxed execution for security, tool integrations, and support for multiple input types including text, vision, and audio, the library aims to make agent development accessible and efficient for a wide range of AI applications.
Who can use Smolagents & how?
  • Developers & Engineers: Quickly build custom agents using minimal code.
  • AI Researchers: Experiment with code-based agent workflows and benchmarks.
  • Data Scientists: Integrate AI agents into data processing and analysis pipelines.
  • Product Teams: Deploy multi-modal agents for text, vision, and audio tasks.
  • Open Source Enthusiasts: Share and reuse agent tools and models via the HF Hub.

How to Use Smolagents?
  • Install the Package: Use pip to install with a toolkit of essential tools.
  • Define Your Agent: Create a CodeAgent and assign tools and a model.
  • Run Queries: Execute agent tasks by calling the run method with user input.
  • Share Agents: Push agents to the Hugging Face Hub for reuse and collaboration.
What's so unique or special about Smolagents?
  • Code-Centric Actions: Agents write their steps as executable Python code.
  • Model-Agnostic: Compatible with many LLMs and AI service providers.
  • Sandboxed Execution: Securely run code with sandbox options to avoid risks.
  • Multi-Modality Support: Handles inputs like text, images, video, and audio.
  • Hub Integration: Easily share and load agents and tools with the HF Hub.
Things We Like
  • Simple, concise codebase under 1,000 lines for easy customization.
  • Supports numerous AI models and providers flexibly.
  • Secure execution with sandbox environments to mitigate risks.
  • Allows sharing and collaboration through Hugging Face’s Hub.
Things We Don't Like
  • Requires basic Python knowledge to fully leverage agent coding.
  • Some advanced features need setup of external sandbox tools.
  • Documentation may be challenging for absolute beginners.
  • Limited GUI tools; mostly command-line and code-driven usage.
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FAQs

Smolagents is a library for building AI agents that think and act by generating executable code in Python.
Yes, it supports local transformer models, OpenAI, Anthropic, and other providers via LiteLLM and integrations.
Yes, smolagents provides sandboxed environments using technologies like Docker and Pyodide for safe code execution.
Yes, agents in smolagents can process text, vision, video, and audio inputs.
Absolutely, agents and tools can be shared or loaded via the Hugging Face Hub.

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