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Exercise Chat: Add citation pipeline for FAQs #201
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WalkthroughThe changes enhance the response generation process in the chat agent pipeline. After refining the response using Changes
Sequence Diagram(s)sequenceDiagram
participant Client as Client
participant Pipeline as ExerciseChatAgentPipeline
participant Citation as citation_pipeline
Client->>Pipeline: Request exercise chat response
Pipeline->>Pipeline: Generate response using guide_response
alt Retrieved FAQs exist
Pipeline->>Citation: Invoke augmentation with FAQ data (InformationType.FAQS, FAQs, response, base URL)
Citation-->>Pipeline: Return augmented response
Pipeline->>Pipeline: Log FAQ augmentation process
end
Pipeline-->>Client: Return final response
✨ Finishing Touches
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Actionable comments posted: 0
🧹 Nitpick comments (1)
app/pipeline/chat/exercise_chat_agent_pipeline.py (1)
588-596
: Add error handling and logging for the FAQ citation process.While the code is functionally correct, consider these improvements for better reliability and observability:
- Add specific error handling for the citation pipeline call
- Add logging for the FAQ augmentation process
- Validate the citation pipeline output
Apply this diff to implement the suggestions:
if self.retrieved_faqs: self.callback.in_progress("Augmenting response ...") + logger.info("Augmenting response with FAQ citations...") + try: out = self.citation_pipeline( self.retrieved_faqs, out, InformationType.FAQS, base_url=dto.settings.artemis_base_url, ) + if not out: + logger.warning("Citation pipeline returned empty output") + else: + logger.info("Successfully augmented response with FAQ citations") + except Exception as e: + logger.error("Failed to augment response with FAQ citations", exc_info=e) + # Continue with the original response if citation fails + self.callback.in_progress("Continuing with original response...")
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📒 Files selected for processing (1)
app/pipeline/chat/exercise_chat_agent_pipeline.py
(2 hunks)
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- GitHub Check: Build and Push Docker Image
🔇 Additional comments (1)
app/pipeline/chat/exercise_chat_agent_pipeline.py (1)
29-29
: LGTM!The import statement is correctly placed and both imported entities are used in the code.
I missed adding the citation of faqs in the exercise chat, this PR makes sure the Faqs are also cited properly
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