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Any thoughts on a recommended approach to equip this fantastic project to work with recent python libraries or repos?
For example:
GPT4 does not know about LangChain, it is not included in its training data. Thus, gpt-engineer could never hope to build gpt-engineer!
There might be an open-source repo the user wants to use within their project, that is well documented, if it isn't in the LLM's training set, we can't.
Possible solutions:
A method to add a flag when launching gpt-engineer that prompts it to ask the user for documentation pages to read before beginning to digest the prompt file.
$ gpt-engineer my_folder --add_documentation_sources
Please add URL links to documentation folders to be parsed, each separated by a space
>> https://github.com/dmitrizzle/chat-bubble https://github.com/langchain-ai/langchain
Checking...
LangChain found.
Chat-Bubble found.
Please provide any URL link to documentation for LangChain, or just hit enter if none exists. It is best to provide the root directory from which I can crawl to find all subpages.
>> https://python.langchain.com/docs/
Checking...
25 pages downloaded...
Please provide any URL link to documentation for Chat-Bubble, or just hit enter if none exists. It is best to provide the root directory from which I can crawl to find all subpages.
>>
No link provided. Trying README.md ...
1 page downloaded...
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Any thoughts on a recommended approach to equip this fantastic project to work with recent python libraries or repos?
For example:
Possible solutions:
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