陈辅元 f492e29749 Refactor _chat_stream_events in api_server.py to standardize SSE response format by removing additional status codes and consolidating output into a unified JSON structure. Update logging to enhance clarity on streaming events and improve error handling. Adjust documentation to reflect changes in event data structure.

2026-04-16 16:26:58 +08:00

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data_level0.bin

Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.

2026-04-14 18:02:12 +08:00

header.bin

Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.

2026-04-14 18:02:12 +08:00

length.bin

Refactor _chat_stream_events in api_server.py to standardize SSE response format by removing additional status codes and consolidating output into a unified JSON structure. Update logging to enhance clarity on streaming events and improve error handling. Adjust documentation to reflect changes in event data structure.

2026-04-16 16:26:58 +08:00

link_lists.bin

Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.

2026-04-14 18:02:12 +08:00