- Skipped tests related to KB/DB search functionality due to temporary unavailability.
- Updated test cases in chat_test.go, search_auth_integration_test.go, search_auto_full_test.go, and others to reflect this change.
- Adjusted search handling in search.go to limit search types to "web" only until KB/DB search is re-enabled.
- Updated the BuildContent method to utilize content parsing with improved error handling and context injection, enhancing the processing of user input.
- Refactored the loadMap function to support multiple search configuration types, improving flexibility in handling search settings.
- Enhanced the shouldAutoSearch method to include a check for search disabling via context metadata, allowing for more granular control over search behavior.
- Updated the getMergedSearchUses method to prioritize options.Uses, ensuring that search configurations can be dynamically adjusted based on provided options.
- Removed deprecated audio and excel handling code, streamlining the content processing package and improving maintainability.
- Updated the Stream method to include options for handling message history and context more effectively, ensuring original messages are preserved for autoSearch and delegation.
- Introduced a new buildContextMessage function to consolidate conversation context, filtering out system messages and limiting to the last five user messages for efficiency.
- Enhanced content processing by adding a convertToContentParts function to handle different content formats, improving compatibility with historical data.
- Improved logging and error handling in the executeLLMStream method to ensure clarity in LLM request tracing and response handling.
- Added new utility functions for extracting text content and building context messages, enhancing overall code clarity and maintainability.
- Renamed functions for consistency and clarity, changing `buildDBAuthWheres` to `BuildDBAuthWheres` and `filterKBCollectionsByAuth` to `FilterKBCollectionsByAuth`.
- Enhanced test cases to utilize the updated function names, ensuring proper authorization checks in the search functionality.
- Improved test environment initialization to streamline setup processes and ensure robust testing of authorization logic.
- Verified that search results adhere to authorization constraints, ensuring only accessible collections are queried based on user permissions.
- Enhanced the KB search handler to utilize the KB API for executing search queries, improving search accuracy and performance.
- Implemented authorization checks for collections in the search requests, ensuring only accessible collections are queried.
- Updated the search request structure to include metadata filtering capabilities, allowing for more refined search results.
- Refactored unit tests to validate new search functionalities, including threshold handling and collection initialization checks, ensuring robust test coverage.
- Adjusted the Makefile to streamline test coverage reporting and updated GitHub Actions workflows to include Codecov integration for better visibility on test coverage metrics.
- Added a `Results` field to the `SearchExecutionResult` struct to store raw search results, facilitating the extraction of DSL from database searches.
- Implemented logic in the `saveSearch` method to extract and store the first DSL from DB search results, improving data retention for search operations.
- Introduced a `dslToMap` method in the DB handler to convert QueryDSL to a map format for storage, enhancing the flexibility of result handling.
- Updated the `Result` struct to include a `DSL` field for generated QueryDSL, ensuring comprehensive data representation for database search results.
- Updated the search handling to incorporate keyword extraction with weights, improving the relevance of search results.
- Refactored the `shouldAutoSearch` method to return a `SearchIntent` struct, allowing for more nuanced control over search execution based on context.
- Enhanced the `buildSearchRequests` function to utilize extracted keywords, optimizing search queries based on user input.
- Improved the handling of search types and conditions, ensuring that the system can dynamically adjust search behavior based on intent and configuration.
- Updated documentation and prompts to reflect changes in keyword extraction and search intent classification, providing clearer guidelines for usage.
- Updated the agent's Stream and response processing methods to return and handle *context.Response directly, eliminating the need for type assertions.
- Simplified test cases by removing unnecessary type conversions and directly accessing response fields.
- Enhanced the extraction of data from Next hook responses, ensuring more robust handling of custom data structures.
- Improved overall code readability and maintainability by streamlining response handling logic across various components.
- Updated the keyword extraction and QueryDSL generation processes to require a context parameter, enhancing the robustness of the extraction methods.
- Replaced the previous frequency-based extraction with a system agent approach, utilizing the __yao.keyword and __yao.querydsl agents for improved accuracy and context awareness.
- Removed obsolete builtin extraction implementations and tests, streamlining the codebase.
- Enhanced test cases to validate the new context requirements, ensuring proper error handling when context is not provided.
- Updated documentation to reflect changes in the extraction methods and their dependencies on context.
- Updated the `shouldAutoSearch` method to include additional parameters for improved intent detection, allowing for better decision-making on whether to execute auto search.
- Introduced a new `checkSearchIntent` method to utilize the `__yao.needsearch` agent for determining the necessity of a search based on user input.
- Implemented a `ClearExcept` method in the cache to selectively clear non-system agents while preserving essential system agents during cache management.
- Updated the `LoadBuiltIn` function to maintain system agents in the cache, ensuring they remain available for use.
- Enhanced test coverage for loading system agents and validating search intent detection, ensuring robustness in the assistant's search capabilities.
- Revised localization files to include new messages for search intent feedback, improving user experience during search operations.
- Updated the CitationGenerator to produce simple integer IDs instead of formatted strings, improving clarity and consistency in citation references.
- Enhanced the executeAutoSearch method to save both successful and failed search results, capturing detailed execution data for better traceability.
- Introduced a new SearchExecutionResult type to structure search result data, including query, keywords, configuration, duration, and error information.
- Updated related tests to reflect changes in citation ID format and ensure proper functionality of the new storage mechanisms.
- Revised documentation to clarify the new citation format and search result handling processes.
- Introduced a new `Search` type to store intermediate processing results, including extracted keywords, entities, relations, and generated QueryDSL for improved debugging and citation support.
- Updated the `executeAutoSearch` method to populate the new `Search` structure, ensuring all relevant data is captured during search execution.
- Implemented methods for saving and retrieving search records in MongoDB and Redis, enhancing data persistence across sessions.
- Revised localization files to include new keys for search-related messages, improving user experience.
- Updated DESIGN.md to reflect changes in the search result structure and data flow, ensuring comprehensive documentation of the new features.
- Implemented loading and result messaging in the executeAutoSearch method to improve user experience during search operations.
- Added methods to send loading, result, and completion messages, providing real-time feedback to users.
- Integrated trace node creation and completion for search operations, enhancing transparency and debugging capabilities.
- Updated localization files to include new messages for search status updates in both English and Chinese.
- Revised DESIGN.md to document the new output flow and trace integration for search operations.
- Updated the executeAutoSearch method to include an optional parameter for Skip.Keyword, allowing for conditional keyword extraction during web searches.
- Implemented logic to extract keywords only when configured and not skipped, improving search query optimization.
- Modified the Assistant's Stream method to pass options to executeAutoSearch, ensuring seamless integration of the new functionality.
- Updated DESIGN.md to document the changes in keyword extraction logic and its impact on the search process.
- Added functionality to the Assistant's Stream method to execute auto search if enabled, enhancing the search capabilities based on user configuration.
- Introduced helper methods for determining auto search eligibility, executing the search, and injecting search context into messages.
- Updated DESIGN.md to reflect the new auto search logic, including detailed descriptions of the new methods and their integration points within the search process.
