Cookbook for E2B SDK examples and guides
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This repository provides example code and guides for building applications using the E2B SDK, targeting developers who want to integrate AI agents and code execution capabilities into their projects. It showcases how to leverage various LLM providers and AI frameworks for tasks like data analysis, code interpretation, and web scraping.
How It Works
The E2B SDK enables developers to create AI agents that can execute code within secure, sandboxed environments. These agents can interact with various LLM providers (OpenAI, Anthropic, Mistral, etc.) and utilize tools like code interpreters for data analysis, machine learning, and reasoning on image data. The examples demonstrate integrations with popular AI frameworks such as LangChain, LangGraph, and Autogen, facilitating complex agentic workflows.
Quick Start & Requirements
pip install e2b
(Python), or use provided TypeScript examples.Highlighted Details
Maintenance & Community
The project is actively maintained by the E2B team. Community channels and further resources are available via the E2B website.
Licensing & Compatibility
The repository contains example code, and the E2B SDK itself is typically available under a permissive license suitable for commercial use. Specific license details for the SDK should be verified on the official E2B documentation.
Limitations & Caveats
The examples are illustrative and may require specific LLM API keys or configurations. Some advanced use cases might have associated costs with LLM API usage.
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