LangChain implementation of ChatGPT Code Interpreter
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This project provides an open-source Python API that replicates the functionality of OpenAI's ChatGPT Code Interpreter, enabling users to execute Python code within a sandboxed environment for tasks like data analysis, charting, and image manipulation. It's designed for developers and researchers who want to integrate code execution capabilities into their LLM applications, offering local execution for most components except the LLM itself.
How It Works
The API leverages LangChain for orchestration and CodeBoxes as a backend for secure, sandboxed Python code execution. It supports internet access and automatic Python package installation, allowing the LLM to generate and run Python code based on user input, including file uploads. The system maintains conversation memory, enabling context-aware responses and iterative problem-solving.
Quick Start & Requirements
pip install "codeinterpreterapi[all]"
(includes local experiment dependencies) or pip install codeinterpreterapi
(for production deployments).OPENAI_API_KEY
environment variable).Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The CodeBox API for production scalability is in early development. The project is open to contributions and bug reports, indicating it may still be maturing.
8 months ago
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