 陈辅元
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85ad31348e
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Implement follow-up detection in dialog context to prevent context pollution in multi-topic conversations. Introduce is_likely_follow_up function to determine when to inject session history based on user input. Adjust _load_session_text2sql_context to conditionally include context based on follow-up status, enhancing SQL generation accuracy. Update relevant API endpoints to pass user text for improved context handling.
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2026-04-15 17:33:07 +08:00 |
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陈辅元
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2d0b1ab36f
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Refactor embedding configuration to remove local model support, transitioning to a unified remote API approach. Update environment variables and documentation accordingly. Enhance error handling in the orchestrator and related modules to reflect these changes. This update simplifies the embedding process and improves overall system reliability.
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2026-04-15 09:49:18 +08:00 |
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 lasean.zhou
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4ea3056e95
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Enhance environment configuration and error handling in API server and backend. Implement dynamic loading of .env files for various execution contexts, improve schema file path resolution, and refine vector search error handling in the orchestrator. Update ChromaDB integration to support memory mode and add persistence options for few-shot learning. Include additional logging for better traceability.
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2026-04-14 18:21:50 +08:00 |
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陈辅元
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ca8bc5e7de
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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.
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2026-04-14 18:02:12 +08:00 |
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陈辅元
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cc83fe963a
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0.1.1 暂存
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2026-04-14 10:28:22 +08:00 |
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