- Implemented AssistantReloadFunc to enable hot-reloading of assistants after deployment, improving deployment flexibility.
- Enhanced gRPC authProvider to include workspace and sandbox IDs from incoming context metadata, enriching the authentication context.
- Updated tools to support new agent-related functionalities, including listing, downloading, deploying, and connecting agents.
- Expanded system tools documentation to include new agent commands, ensuring comprehensive guidance for users.
- Replaced 'Voice' with 'Audio' in the system configuration and related tests to better reflect functionality.
- Introduced new methods for role management in the llmprovider, allowing for dynamic retrieval of roles based on user and team context.
- Updated the OpenAPI settings to support new role management endpoints and capabilities.
- Enhanced the handling of API keys in provider management, allowing for optional plain-text retrieval.
- Introduced NanoToTime and TimeToNano functions for converting between UnixNano and time.Time, improving clarity and consistency in timestamp management.
- Updated Assistant model to utilize the new utility functions for created_at and updated_at fields.
- Refactored Xun store methods to ensure UTC compatibility for timestamp serialization across different database drivers.
- Added unit tests for the new conversion functions to validate their correctness and behavior.
- Updated the AssistantInfo struct to include new fields: Connector, ConnectorOptions, Modes, DefaultMode, Sandbox, and ComputerFilter for improved assistant configuration.
- Enhanced the loading process to extract Sandbox flag and ComputerFilter from V2 sandbox configuration.
- Refactored GetInfo method to return comprehensive assistant details for better UI integration.
- Introduced new endpoint for workspace options to streamline InputArea selector functionality.
Made-with: Cursor
- Introduce a new field for dependencies in the Assistant model to manage external MCP client dependencies with version constraints.
- Implement deep copy functionality for dependencies in the Clone method to ensure integrity during assistant cloning.
- Enhance the Update method to handle dependencies input from data maps, supporting both string and interface types.
- Update the Map method to include dependencies in the serialized output.
- Add comprehensive tests to validate loading, cloning, and mapping of dependencies, ensuring correct behavior across various scenarios.
- Eliminate the `openai` field from the `Assistant` struct and its initialization in the `initialize` method, streamlining the Assistant's internal structure.
- This change simplifies the codebase by removing unnecessary dependencies on the OpenAI API, enhancing maintainability.
- Updated `logrus` dependency from v1.9.3 to v1.9.4 and `golang.org/x/sys` from v0.38.0 to v0.40.0 for improved functionality and security.
- Introduced a `Fork` method in the agent context to create child contexts for concurrent agent and LLM calls, preventing race conditions on shared state during batch operations.
- Enhanced the `Orchestrator` methods to utilize forked contexts, ensuring independent execution of agent calls without interference.
- Added initialization for the Agent JSAPI factory to support ctx.agent.* methods, improving agent interaction capabilities.
- Introduced a new agent object in the JSAPI context for calling other agents, enhancing modularity.
- Implemented an OnMessage callback in the context options to handle messages sent via ctx.Send(), allowing for more flexible message processing.
- 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.
- Introduced a new search object in the context to expose search methods (Web, KB, DB, All, Any, Race) for JavaScript integration.
- Implemented individual search methods with argument validation and error handling, improving the robustness of the API.
- Updated the JSAPI implementation to utilize the new search object, ensuring seamless interaction with the search functionalities.
- Enhanced documentation in DESIGN.md to reflect the new V8 binding methods and their usage, providing clear guidance for developers.
- Added initialization for the Search JSAPI factory in the Assistant module to streamline search operations.
- Updated the DESIGN.md to reflect the new architecture of the search module, including detailed descriptions of the keyword extraction and QueryDSL generation processes.
- Enhanced the interfaces for keyword extraction to require context, improving flexibility for different extraction modes.
- Revised directory structures in the documentation to clarify the organization of search-related components, ensuring comprehensive guidance for developers.
- Added logging for hook start and completion in the Assistant's Stream method to improve traceability during execution.
- Refactored the AgentGetterFunc to utilize the caller package, enhancing modularity and reducing circular dependencies.
- Updated the CallAgent function to check for the initialized AgentGetterFunc from the caller package, ensuring proper agent loading.
- Enhanced the Search handler to support an optional context parameter, improving flexibility for agent mode operations.
- Refined the agentSearch function to delegate search requests to a new AgentProvider, streamlining the search process.
- Updated DESIGN.md to reflect changes in search modes and the integration of the caller package, ensuring comprehensive documentation.
- Introduced a new search configuration structure, allowing for detailed settings for web, knowledge base, database, citation, and weights.
- Updated the `Assistant` model to include a `Search` field, enabling assistant-specific search configurations.
- Enhanced the loading and merging logic for search configurations, ensuring global defaults can be overridden by assistant-specific settings.
- Added comprehensive tests for loading, saving, and updating assistants with search configurations, verifying the integrity of search settings.
- Updated documentation in DESIGN.md to reflect the new search configuration hierarchy and usage, clarifying the interaction between global and assistant-level settings.
- Introduced `GetInfo` method in the Assistant struct to return basic assistant information with optional locale support for internationalization.
- Implemented `GetInfoByIDs` function to retrieve information for multiple assistants based on their IDs, enhancing batch processing capabilities.
- Updated chat buffer management to include a mode parameter, allowing for dynamic switching between chat and task modes.
- Enhanced message handling to store and retrieve the mode associated with each message, improving context tracking during chat sessions.
- Revised tests to validate the new functionalities, ensuring accurate retrieval of assistant information and proper mode management in chat operations.
- Replaced all instances of `Script` with `HookScript` in the Assistant and related files to improve clarity and consistency in naming.
- Updated method calls in the Stream, Create, and Next hooks to utilize the new `HookScript` field.
- Adjusted tests and benchmarks to reflect the changes in script handling, ensuring all functionalities remain intact and operational.
- Enhanced the load and initialization processes to accommodate the new HookScript structure, streamlining the assistant's script management.
- Updated the Assistant methods to accept an Options parameter, enhancing flexibility in context management.
- Removed the Connector field from the context and related structures, transitioning to a more streamlined options-based approach.
- Adjusted various tests to accommodate the new options handling, ensuring comprehensive coverage of the updated functionality.
- Enhanced the Create and Next hooks to return options alongside responses, improving the overall usability of the API.
- Cleaned up deprecated fields and improved context initialization for better maintainability.
- Added support for converting extended types (file, data) to standard LLM types (text, image_url, input_audio) in the Stream method.
- Introduced a new agentCallerWrapper to facilitate agent calls from the content package.
- Implemented ThreadID management for nested agent calls to improve concurrent stream identification.
- Enhanced message handling to include metadata for message_start and message_end events, allowing for better tracking of message states.
- Removed deprecated vision capability checks from the Assistant initialization process, streamlining the codebase.
- Added new content types (file, data) to the context types for improved message content handling.
- Introduced `modes` field to support multiple operational modes for the assistant, allowing for flexible functionality (e.g., chat, task).
- Added `default_mode` field to specify the primary mode of operation for the assistant.
- Updated the `Map`, `Clone`, and `Update` methods to handle the new fields appropriately.
- Enhanced the `ToAssistantModel` conversion function to include the new fields.
- Added tests to validate the integration and functionality of modes and default mode within the assistant model.
- Introduced a new `Database` type to encapsulate database models and options.
- Updated the `Assistant` model to include a `DB` field for database configuration.
- Enhanced the `Map`, `Clone`, and `Update` methods to handle the new `DB` field appropriately.
- Implemented the `ToDatabase` conversion function to support various input types for database initialization.
- Added comprehensive tests to validate the integration of the database functionality within the assistant model.
- Updated relevant fields and methods to ensure consistent handling of the new database configuration.
- Introduced the `disable_global_prompts` field in the Assistant model to control the usage of global prompts.
- Updated the Load and Get methods to initialize and retrieve global prompts from the configuration.
- Refactored tests to validate the new global prompts functionality and ensure proper loading and context handling.
- Improved the overall structure and clarity of the assistant's capabilities and configurations.
- Removed the GetByConnector method from the Assistant model to streamline the retrieval process.
- Introduced new fields for connector options and prompt presets, allowing for more flexible configurations.
- Updated the Map method to include additional fields such as connector options and prompt presets.
- Enhanced the Clone method to support deep copying of new fields.
- Improved the Update method to handle updates for the new source, connector options, and prompt presets fields.
- Refactored tests to ensure comprehensive coverage of the new functionalities and maintain clarity in the assistant structure.
- Enhanced the getConnectorCapabilities method to prioritize model capabilities and connector settings, improving capability retrieval logic.
- Deprecated the tools field in the Assistant model, transitioning to MCP for tool management, and updated related methods accordingly.
- Introduced new fields for connector options and prompt presets in the Assistant model, allowing for more flexible configurations.
- Updated the GetAssistant method to support field selection, improving data retrieval efficiency and flexibility.
- Refactored tests and documentation to reflect changes in the assistant structure and capabilities, ensuring clarity and maintainability.
- Removed deprecated API and vision components, streamlining the agent's architecture.
- Updated the Load function to utilize a new agentDSL variable, enhancing the management of assistant capabilities.
- Enhanced context handling by introducing a message metadata store for thread-safe operations, improving message tracking and management.
- Refactored context methods to eliminate deprecated fields, ensuring cleaner and more maintainable code.
- Improved documentation and comments throughout the codebase to clarify changes and enhance developer understanding.
- Updated MCP server configuration to support advanced formats, including tools and resources.
- Refactored the Assistant's Stream method for improved readability and maintainability, adding clear section comments.
- Enhanced error handling and logging for better traceability during streaming operations.
- Removed deprecated methods and streamlined MCP server handling in tests to ensure robust functionality and validation.
- Updated import paths for store packages to use specific types for better clarity and maintainability.
- Refactored store initialization in the agent to utilize the new store types for Mongo, Redis, and Xun.
- Removed deprecated store-related files to streamline the codebase and improve overall organization.
- Ensured that all references to the store in the agent files are consistent with the new structure.
- Updated assistant data handling to utilize structured models, improving code clarity and maintainability.
- Enhanced the assistant save and load functions to work with the new AssistantModel structure.
- Refactored mention handling to streamline the conversion process from raw data to structured mentions.
- Improved error handling in the assistant save process, ensuring better feedback for invalid data.
- Updated API responses to use the new gin.H format for consistency across the application.
- Deleted session-related functions (UserID, GuestID, UserRoles, UserOrGuestID) from the agent package to streamline the codebase.
- Removed RAG-related code and references, simplifying the agent's architecture.
- Updated API and load functions to reflect these changes, ensuring consistency across the agent module.
- Enhanced test coverage by cleaning up deprecated test cases related to removed functionalities.
Remove deprecated studio package and refactor agent integration
- Deleted the studio package, which is no longer in use, to streamline the codebase.
- Updated references in the agent and chat modules to utilize the new agent package instead of the deprecated neo package.
- Ensured that all related middleware and routing functionalities are now aligned with the agent architecture, enhancing overall system coherence.
2025-11-06 18:13:54 +08:00
Renamed from neo/assistant/assistant.go (Browse further)
