smolagents

Introducing 🤗 smolagents

🤗 smolagents is a barebones library that enables the development and execution of agents capable of thinking in Python code. Here are the key features and benefits of using this library:

Key Features

• Simplicity: The core logic for agents is concise, fitting within approximately 1,000 lines of code, making it easy to understand and modify.
• Code Agents: First-class support for Code Agents that write their actions in Python code, ensuring security via sandboxed execution environments such as E2B or Docker.
• Hub Integrations: Effortlessly share or pull tools and agents to/from the Hub for instant deployment of efficient agents.
• Model-Agnostic: Compatible with any large language model (LLM) - be it local transformers or models from various providers like OpenAI or Anthropic.
• Input Modality Support: Supports text, vision, video, and audio as inputs.
• Tool Integration: Allows usage of tools from LangChain and others, seamlessly integrating with existing workflows.

Benefits

• Develop powerful agents quickly with minimal code.
• Enhanced security when executing code, reducing the risks associated with arbitrary code execution.
• Flexibility in selecting the underlying model and tools, adapting to specific needs and challenges.

Highlights

• Quick setup and installation, ideal for developers looking to build intelligent applications rapidly.
• Detailed documentation available for better understanding and guidance.
• Open-source contribution encouraged, fostering community growth and improvement of the library.

For detailed usage examples and benchmarks, please refer to the full documentation.