Self-extracting GPT prompts for ~70% token savings.
Project description
CompressGPT
Self-extracting GPT prompts for ~70% token savings
Check out the accompanying blog post here.
Installation
$ pip install compress-gpt
Usage
Simply change your existing imports of langchain.PromptTemplate to compress_gpt.langchain.CompressTemplate (to compress prompts before populating variables) or compress_gpt.langchain.CompressPrompt (to compress prompts after populating variables).
-from langchain import PromptTemplate
+from compress_gpt.langchain import CompressPrompt as PromptTemplate
For very simple prompts, use CompressSimplePrompt and CompressSimpleTemplate instead.
If compression ever fails or results in extra tokens, the original prompt will be used. Each compression result is aggressively cached, but the first run can take a hot sec.
Clearing the cache
import compress_gpt
compress_gpt.clear_cache()
Demo
How CompressGPT Works
My blog post helps explain the below image.
Project details
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