- Simplified the FastAPI application structure and improved error handling with middleware.
- Introduced a retry decorator for asynchronous functions to enhance reliability.
- Modularized the LLM initialization and prompt loading into separate functions for better maintainability.
- Updated Pydantic models for Jira webhook payload and analysis flags to ensure proper validation and structure.
- Implemented a structured logging configuration for better traceability and debugging.
- Added comprehensive unit tests for prompt loading, response validation, and webhook handling.
- Established a CI/CD pipeline with GitHub Actions for automated testing and coverage reporting.
- Enhanced the prompt template for LLM analysis to include specific instructions for handling escalations.
- Added FastAPI application to handle Jira webhooks.
- Created Pydantic models for Jira payload and LLM output.
- Integrated LangChain with OpenAI and Ollama for LLM processing.
- Set up Langfuse for tracing and monitoring.
- Implemented analysis logic for Jira tickets, including sentiment analysis and label suggestions.
- Added test endpoint for LLM integration.
- Updated requirements.txt to include necessary dependencies and versions.
