Refactor LLM functions for better structure and error handling#41
Open
muneebwanee wants to merge 1 commit into
Open
Refactor LLM functions for better structure and error handling#41muneebwanee wants to merge 1 commit into
muneebwanee wants to merge 1 commit into
Conversation
Replaced the fragile split(",") logic in filter_results with JsonOutputParser to ensure the LLM always returns a valid list of indices. Also added a "Map-Reduce" strategy in generate_summary. If the scraped content is too large (>15,000 chars), it splits the text, summarizes chunks individually, and then combines them. This prevents context window errors.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Replaced the fragile split(",") logic in filter_results with JsonOutputParser to ensure the LLM always returns a valid list of indices. Also added a "Map-Reduce" strategy in generate_summary. If the scraped content is too large (>15,000 chars), it splits the text, summarizes chunks individually, and then combines them. This prevents context window errors.