Add ChatGPT wrapper pipeline #195
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WalkthroughThis pull request encompasses several modifications across different components of the application. The changes include updating the README documentation with standardized configuration file naming, modifying type declarations in data transfer objects, enhancing OpenAPI schema security, introducing a new ChatGPT wrapper pipeline, and improving error logging with Sentry integration. The modifications aim to improve code structure, documentation clarity, and error tracking capabilities. Changes
Sequence DiagramsequenceDiagram
participant Client
participant FastAPI
participant ChatGPTWrapperPipeline
participant LLM
Client->>FastAPI: Send chat request
FastAPI->>ChatGPTWrapperPipeline: Initialize pipeline
ChatGPTWrapperPipeline->>LLM: Generate response
LLM-->>ChatGPTWrapperPipeline: Return response
ChatGPTWrapperPipeline-->>FastAPI: Process complete
FastAPI-->>Client: Return response
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Followup to #185 and #194 as I was not able to make push any more changes to the existing branch due to rule: |
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Actionable comments posted: 1
🧹 Nitpick comments (3)
app/pipeline/chat_gpt_wrapper_pipeline.py (1)
63-63: Remove unused attributeself.tokensThe attribute
self.tokensis initialized but not used elsewhere in the class. Removing it can clean up the code.Apply this diff to remove the unused attribute:
- self.tokens = []app/web/routers/pipelines.py (2)
78-83: Consider using pattern matching for variant handling.The if-else structure for variant handling deviates from the pattern used in other pipeline implementations (e.g., text_exercise_chat_pipeline_worker) which use pattern matching. Consider using a match statement for consistency.
- if variant == "chat-gpt-wrapper": - thread = Thread(target=run_chatgpt_wrapper_pipeline_worker, args=(dto, variant)) - else: - thread = Thread( - target=run_exercise_chat_pipeline_worker, args=(dto, variant, event) - ) + match variant: + case "chat-gpt-wrapper": + thread = Thread(target=run_chatgpt_wrapper_pipeline_worker, args=(dto, variant)) + case _: + thread = Thread( + target=run_exercise_chat_pipeline_worker, args=(dto, variant, event) + )
325-332: Consider adding more descriptive feature information.The feature DTO for CHAT_GPT_WRAPPER provides minimal information. Consider enhancing the description to indicate its experimental nature and any limitations or specific use cases.
case "CHAT_GPT_WRAPPER": return [ FeatureDTO( id="default", name="Default Variant", - description="Default ChatGPT wrapper variant.", + description="Experimental ChatGPT wrapper variant for direct model interaction. Note: This is a temporary implementation for testing purposes.", ) ]
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⛔ Files ignored due to path filters (2)
application.example.ymlis excluded by!**/*.ymlexample_application.ymlis excluded by!**/*.yml
📒 Files selected for processing (10)
README.MD(6 hunks)app/domain/status/text_exercise_chat_status_update_dto.py(1 hunks)app/main.py(1 hunks)app/pipeline/chat/course_chat_pipeline.py(1 hunks)app/pipeline/chat/exercise_chat_agent_pipeline.py(1 hunks)app/pipeline/chat_gpt_wrapper_pipeline.py(1 hunks)app/pipeline/prompts/chat_gpt_wrapper_prompts.py(1 hunks)app/pipeline/shared/citation_pipeline.py(1 hunks)app/web/routers/pipelines.py(4 hunks)app/web/status/status_update.py(1 hunks)
✅ Files skipped from review due to trivial changes (4)
- app/pipeline/prompts/chat_gpt_wrapper_prompts.py
- app/pipeline/shared/citation_pipeline.py
- app/pipeline/chat/course_chat_pipeline.py
- app/pipeline/chat/exercise_chat_agent_pipeline.py
🧰 Additional context used
🪛 LanguageTool
README.MD
[uncategorized] ~323-~323: Loose punctuation mark.
Context: ...lfile. -PYRIS_LLM_CONFIG_YML_FILE: Path to your llm_config.yml` file. -...
(UNLIKELY_OPENING_PUNCTUATION)
⏰ Context from checks skipped due to timeout of 90000ms (1)
- GitHub Check: Build and Push Docker Image
🔇 Additional comments (6)
app/pipeline/chat_gpt_wrapper_pipeline.py (1)
88-89: Duplicate calls toself.callback.done()may be unintendedThere are two consecutive calls to
self.callback.done(). The first call does not pass any arguments, while the second passesfinal_result=response. Unless both calls serve distinct purposes, consider combining them or removing the redundant call.app/domain/status/text_exercise_chat_status_update_dto.py (1)
7-7: Change to makeresultoptional is appropriateUpdating
resulttoOptional[str]allows for cases where a result may not be available, enhancing the flexibility of theTextExerciseChatStatusUpdateDTOclass.app/web/routers/pipelines.py (1)
239-261: LGTM! Worker implementation follows established patterns.The implementation of
run_chatgpt_wrapper_pipeline_workerfollows the same error handling and logging patterns as other pipeline workers, which is good for consistency and maintainability.app/web/status/status_update.py (1)
3-3: LGTM! Enhanced error tracking with Sentry integration.The addition of Sentry SDK for error tracking is a good improvement for monitoring and debugging in production.
README.MD (2)
187-187: LGTM! Clear warning about model requirements.The warning about requiring models with
gpt_version_equivalentof 4.5 or higher is crucial information for users setting up the system.
8-25: LGTM! Improved documentation structure.The enhanced table of contents with detailed subsections improves navigation and readability of the documentation.
Only to be added temporarily as an experiment.
Summary by CodeRabbit
Documentation
llm-configtollm_configNew Features
Improvements