✨ feat: Add 'explain prompt' functionality to AI tools #159
Conversation
- Introduced new prompt 'explain prompt' to analyze and explain how a given prompt was understood to generate a response. - Replaced `thread_to_string` with `chats_to_string` to improve clarity in handling chat threads. - Added commands `gptRequest` and `gptExchange` to support retrieval of previous requests and exchanges. - Updated `send_request` to store the last request and response in `GPTState` for better context management. - Removed redundant `GPTState.last_response` assignment in `gpt_query`. These changes enhance the ability to run 'explain prompt' and understand prompt-response mechanics.
for more information, see https://pre-commit.ci
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You can explain your last exchange with 'model explain prompt exchange' |
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For what it's worth, the idea for this came from page four of this draft book from Michael Feathers (the author of Working Effectively With Legacy Code) https://www.linkedin.com/posts/michaelfeathers_use-waywords-ugcPost-7227367323878187008-RNZL?utm_source=share&utm_medium=member_desktop |
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Sorry but I don't think I am going to merge this. I think it is a bit too specific. If the user wants to do this, I think it is better for them to just copy the info from the debug output and run a model command on it. I don't really like merging destinations that require storing / modifying additional state unless there is strong need for it. We can reopen if there is need down the line. |
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Can we discuss? I think there is value here beyond simply this use case. This is helpful for a variety of reasons and it's not so easy to do manually. Missing this tempts me to run off of a fork, since I can't implement it myself otherwise. |
thread_to_stringwithchats_to_stringto improve clarity in handling chat threads.gptRequestandgptExchangeto support retrieval of previous requests and exchanges.send_requestto store the last request and response inGPTStatefor better context management.GPTState.last_responseassignment ingpt_query.These changes enhance the ability to run 'explain prompt' and understand prompt-response mechanics.