- Updated `RiskListAccess` and `ThresholdWriteAccess` to enforce access control in the risk repository and threshold repository, ensuring only authorized roles can perform sensitive operations.
- Introduced new methods in `RiskRepository` for counting pending alerts and listing alerts with access checks, improving data security and compliance.
- Enhanced the `chat.py` and `deps.py` files to integrate compliance roles into the risk management matrix, allowing for more granular access control.
- Updated documentation to reflect the new testing baseline of 825 passed tests, indicating improved stability and functionality across the application.
This update significantly strengthens the risk management capabilities, ensuring robust access control and compliance with organizational policies.
- Introduced new endpoints `/api/analyst/query/{trace_id}/sample` and `/api/analyst/escalate` for sampling query results and escalating issues to human analysts, respectively.
- Enhanced `AnalystAgent` to support sampling of SQL results based on trace ID and to handle escalation requests, improving user experience in error scenarios.
- Updated `analyst_schemas.py` to include `EscalateRequest` for structured escalation requests.
- Added corresponding frontend API calls and UI components to facilitate user interactions with the new features.
- Implemented unit tests to ensure the reliability of the new functionalities.
This update significantly enhances the analytical capabilities of the application, allowing users to retrieve detailed query samples and escalate issues effectively.
- Added `status` query parameter to `list_sessions_api` for filtering sessions by their status (active/closed).
- Introduced `close_all_sessions_api` endpoint to allow users to close all active sessions for the current actor.
- Updated `SessionRepository` to support status filtering in session listing and implemented logic for closing active sessions.
- Improved Redis connection settings for better performance and reliability.
This update enhances the chat functionality by providing more control over session management, improving user experience and system efficiency.
- Added a new visitor chat API endpoint (`/api/chat/visitor`) to allow unauthenticated users to engage in conversations without requiring customer data.
- Introduced a visitor context dependency to manage visitor interactions seamlessly.
- Enhanced the chat API to support explicit session termination and improved response handling for customer service interactions.
- Updated the database configuration to include Redis client support for caching visitor data.
- Added a new customer note repository to persist user notes independently of the L1 profile slots.
This update significantly improves the customer service experience by enabling visitor interactions and ensuring efficient data handling for both registered and unregistered users.
- Introduced a new function `_assistant_content_for_persist` to append disclaimers to assistant responses, ensuring consistency in stored content.
- Updated `chat_api` and `chat_stream_api` to utilize the new function for managing assistant replies, improving data integrity.
- Added tests to verify the correct handling of disclaimers in various scenarios, ensuring compliance with expected output.
This update enhances the chat system's reliability by ensuring that disclaimers are consistently applied to assistant responses, improving user experience and data accuracy.
- Updated the login endpoint to utilize shared JWT issuer/audience settings, improving consistency across modules.
- Introduced error handling for unknown accounts during token issuance, raising an UnauthorizedError when necessary.
- Enhanced traceability by adding trace and request IDs to responses, ensuring better tracking of requests.
- Refactored exception handling in middleware to properly bubble up application-specific errors, preventing them from being swallowed.
- Added new utility functions for generating trace headers to improve debugging capabilities.
This update strengthens the authentication process and enhances error visibility, contributing to a more robust and maintainable codebase.
zhanghongyu_0626
GaoYiYuan_0626