Feature/chatbot memory - #133
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Document the planned independent chat-session memory model with optional history-session attachment so implementation can follow the agreed LangGraph approach. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
- Added functions to create, retrieve, and reset chat session IDs using sessionStorage and in-memory storage. - Integrated chat session handling in ChatPage component, allowing users to attach history sessions and manage document uploads accordingly. - Updated UI to reflect changes in session management, including disabling document uploads when a history session is attached. - Enhanced error handling and user feedback for session-related actions.
- Added user_id field to ChatMemoryRequest to associate requests with specific users. - Updated invoke method in ChatMemoryService to generate a thread ID using user_id and chat_session_id for better session tracking.
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- Eliminated the attached_session_id field from ChatQueryRequest and related logic in chat_query function. - Removed associated UI elements and state management for attached session in ChatPage component. - Cleaned up unused imports and functions related to session attachment, streamlining chat memory service interactions.
…Tstream2/SummarizationTool into feature/chatbot-memory
- Introduced context usage tracking in ChatMemoryService to monitor token usage and context limits. - Added ContextWindowExceededError for better error handling when context limits are exceeded. - Updated ChatPage component to display context usage information, including estimated tokens and omitted message counts. - Implemented logic to manage context levels (normal, warning, critical) based on usage percentage.
…Tstream2/SummarizationTool into feature/chatbot-memory
Sam120204
marked this pull request as ready for review
June 10, 2026 20:30
… into the chat page
…Tstream1/SummarizationTool into feature/chatbot-memory
| return | ||
| try: | ||
| asyncio.run(self._close_async_checkpointer_context()) | ||
| except Exception: |
| return | ||
| try: | ||
| await self._async_checkpointer_context.__aexit__(None, None, None) | ||
| except Exception: |
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langgraph for chat memory