There was another post today about using Pydantic for function enabled completions: https://github.com/jxnl/openai_function_call https://github.com/jxnl/openai_

There was another post today about using Pydantic for function enabled completions: https://github.com/jxnl/openai_function_call https://github.com/jxnl/openai_function_call I whipped up an example doing something similar last Friday using a decorator, inspect, ast and __doc__ usage: https://gist.github.com/kordless/7d306b0646bf0b56c44ebca2b8e96678 https://gist.github.com/kordless/7d306b0646bf0b56c44ebca2b8e.... The example pulls top results from Algoia's HN search and then chains them into another prompt for GPT-X. The blog post is here: https://www.featurebase.com/blog/function-integration-in-openais-completions https://www.featurebase.com/blog/function-integration-in-ope... Currently integrating this approach into PythonGPT[1], which will build a function on the fly, extract the method info, then call the code in exec(). I would label it "very dangerous"... [1] https://github.com/FeatureBaseDB/PythonGPT https://github.com/FeatureBaseDB/PythonGPT