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Lightweight AI agent development framework for rapid creation of powerful agents

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SmolAgents Overview

SmolAgents is a lightweight intelligent agent library developed by Hugging Face, focusing on simplifying the AI agent system development process. With a core code of only about 1,000 lines, it offers powerful feature integration capabilities, including support for code execution agents. SmolAgents supports various mainstream large language models and provides a secure Python interpreter and sandboxed environment for safe code execution

SmolAgents Key Features

Lightweight framework with core logic of ~1000 lines of code
Support for multiple large language model integrations (HuggingFace, OpenAI, Anthropic, etc.)
Code execution agent function with direct tool invocation through Python code
Secure code execution environment and sandboxing mechanism
Integration with HuggingFace Hub for sharing and loading tools
Simple and intuitive API design for rapid development and deployment

SmolAgents Use Cases

Rapid development of AI agent systems
Creating code execution agents for automated task completion
Building secure AI applications with sandboxed environments
Integrating various language models into agent-based systems
Developing and sharing custom tools for AI agents
Prototyping complex AI workflows with minimal code
Pricing
Free

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