Code generation library for rapid prototyping and experimentation
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Cataclysm is a Python library that leverages OpenAI's GPT-4 to generate code based on function signatures, docstrings, and comments. It aims to automate code writing for developers by providing context to an LLM, reducing the need for manual coding.
How It Works
Cataclysm utilizes OpenAI's GPT-4 API, accessed via plunkylib
, to generate code. The library inspects function signatures, call stacks, keyword arguments, docstrings, and comments to inform the LLM. It offers two primary modes: consume()
for interactive/notebook use where any unrecognized function can trigger AI code generation, and doom
for library/app integration, requiring explicit function calls. The library caches generated code for subsequent calls to improve performance and predictability.
Quick Start & Requirements
pip install cataclysm
.env.template.cataclysm
to .env
and add your OPENAI_API_KEY
.Highlighted Details
consume()
(global generation) and doom
(explicit generation).Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The library carries significant warnings about the potential dangers and unpredictability of AI-generated code, comparing it to blindly following GPS. While it caches code, exact regeneration of code is difficult due to the nature of LLMs. The consume()
mode is explicitly not recommended for libraries or apps due to its global nature.
1 year ago
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