codeinterpreter-api
★ 3.8k·MIT·Updated 2024-11-07
This project provides a LangChain implementation of the ChatGPT Code Interpreter, enabling sandboxed Python code execution via CodeBoxes. It allows for advanced data analysis, charting, and file manipulation, with support for local execution and scalable production deployments.
#Python#LangChain#Code Interpreter#AI Tools#Sandbox#Coding#Data Analysis#Communication
01
Features
01Dataset Analysis & Charting: Perform complex data analysis and generate various charts (e.g., stock charting).
02Internet Access & Auto Package Install: Access the internet and automatically install necessary Python packages within the sandboxed environment.
03Multimodal I/O: Process both text and file inputs, and return text along with generated files (e.g., images).
04Conversation Memory: Maintain context across interactions for coherent multi-turn conversations.
05Local Execution Support: Run the core interpreter logic locally, minimizing external dependencies except for the LLM API.
02
Compatibility
LangChain
Native
Verified via docs
OpenAI
Supported
Verified via docs
CodeBox
Backend
Verified via docs
03
Quick start
1
$ pip install "codeinterpreterapi[all]"
04
Use cases
↳Interactive Data Science: Analyze and visualize datasets on the fly, similar to a data scientist assistant.
↳Automated Report Generation: Generate reports or charts based on user prompts and attached data files.
↳LLM-powered Tooling: Enhance Large Language Models with dynamic code execution capabilities for complex problem-solving.
05
Alternatives
⚡Top VS:
gemini-mcp-tool★ 2.3k
MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding
codefuse-chatbot★ 1.3k
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
DeepMCPAgent★ 892
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
supabase-mcp-server★ 833
Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning, access to logs and much more.
Open Interpreter★ 68.6k
A coding agent for the terminal, optimized for low-cost and open models. Forked from OpenAI's Codex, it can emulate other agent harnesses and runs commands in a native sandbox.
Comments
Log in to leave a comment
No comments yet. Be the first!