Arsham Mirehvandi 884d42e125 Update weather metrics handling and LLM configuration ... - Adjusted `max_tokens` in `config.yaml` for LLM models to optimize performance, setting `gpt-4o-mini` to 2048 and `gpt-4o` to 5120. - Enhanced `assemble.py` to include a new `_weather_fields` function for improved metric handling, ensuring consistent data formatting across weather forecasts. - Updated SQL queries in `weather.py` to incorporate additional wind speed metrics, enhancing the data model for weather analysis. - Expanded query synthesis documentation in `_default.md` to include conditions for wind speed variations, improving advisory generation logic. - Added unit tests in `test_assemble.py` to validate wind speed handling in weather forecasts and ensure robustness of the advisory generation process.		2026-09-17 14:05:50 +02:00
..
advice	Enhance disease forecasting and product prefiltering logic	2026-09-05 23:02:39 +02:00
query_synthesis	Update weather metrics handling and LLM configuration	2026-09-17 14:05:50 +02:00
_output_format.md	Clarify internal code usage in advisory text	2026-09-11 14:51:14 +02:00