fix: final cut summary #164
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Signed-off-by: royalpinto007 <[email protected]>
WalkthroughThe changes update the Changes
Sequence Diagram(s)sequenceDiagram
participant RE as ReasoningEngine
participant AM as Assistant Messages
participant SP as Summary Prompt
RE->>AM: Collect assistant messages
alt Messages are a list
RE->>AM: Extract text from each item
else Single message
RE->>AM: Append content directly
end
RE->>SP: Concatenate messages to summary prompt
RE->>SP: Construct final summary
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backend/director/core/reasoning.py (1)
313-317: Duplicate prevention logic looks goodThis check prevents duplicate content from being added to the summary, which improves readability and avoids redundancy. The conditional formatting with a newline maintains proper text separation.
Consider using a more robust duplicate detection method if the responses might contain overlapping substrings. For very similar responses, a simple string containment check might not always be sufficient.
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backend/director/core/reasoning.py(2 hunks)
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backend/director/core/reasoning.py (1)
294-297: Improved summary aggregation logicThe change correctly implements accumulation of LLM response content rather than overwriting previous content. This ensures the summary builds up over multiple iterations and preserves all relevant information.
Signed-off-by: royalpinto007 <[email protected]>
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🧹 Nitpick comments (1)
backend/director/core/reasoning.py (1)
307-311: Consider improving message formattingThe message concatenation uses a simple space separator, which might affect readability for complex responses.
- summary_prompt += " Assistant Responses: " + " ".join(assistant_messages) + summary_prompt += "\n\nAssistant Responses:\n" + "\n".join(assistant_messages)
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backend/director/core/reasoning.py(2 hunks)
🔇 Additional comments (3)
backend/director/core/reasoning.py (3)
72-79: Looks good: Prompt update enhances summary contentThe addition of point 4 to include assistant responses in the summary adds valuable context to the final cut and aligns with the implemented code changes.
295-306: Good implementation for collecting assistant messagesThis implementation effectively collects assistant messages, handling both list and non-list content types. The extraction of text from list items is particularly well done.
312-317: Looks good: Contextual summary creationThe summary prompt is correctly passed to the context message, ensuring the assistant's responses are included in the final summary generation.
Signed-off-by: royalpinto007 <[email protected]>
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