python code executor tool that takes fuzzy input text to extract and execute code designed for LLM applications
llm-code-executor is a python package works as a tool to support GenAI agents to execute python code and provide answers directly to the user.
Ensure you have Python >=3.10 installed on your system, llm_code_executor uses UV for dependency management and package handling.
First Install it
pip install llm-code-executor
check this example that uses Qwen2.5-coder-32B text generation to extract, install, and execute the code.
llm-code-executor is under MIT-License
llm-code-executor is open-source and we welcome contributions. If you're looking to contribute, please:
FAQs
python code executor tool that takes fuzzy input text to extract and execute code designed for LLM applications
We found that llm-code-executor demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket researchers found several malicious npm packages typosquatting Chalk and Chokidar, targeting Node.js developers with kill switches and data theft.
Security News
pnpm 10 blocks lifecycle scripts by default to improve security, addressing supply chain attack risks but sparking debate over compatibility and workflow changes.
Product
Socket now supports uv.lock files to ensure consistent, secure dependency resolution for Python projects and enhance supply chain security.