This change introduces status updates to indicate the start and successful completion of the report generation. These progress messages improve user feedback during the asynchronous operation.
Removed unused log yielding in `main.py` to simplify the flow. Updated `send_json` in `deepresearch.py` to use an async generator for more flexible streaming of log data.
The `generate_report` method is now explicitly called within the main process, ensuring the researcher's report generation is initiated properly. Updated its return type annotation for clarity in `deepresearch.py`.
Refactored `CustomLogsHandler` to accept an optional logs list and modified its method to append data instead of yielding. Enhanced `ReportGenerator` with proper asynchronous iterator implementation, enabling smooth log handling and retrieval. Simplified variable naming for better readability.
Implement a modular FastAPI-based service for generating research reports using `GPTResearcher`. Includes secure API key authentication, a streaming response endpoint, and a Dockerized deployment setup. Also adds documentation, core dependencies, and project structure.
