- 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 the Stream method to return a flexible final response, accommodating both standard and Next hook responses.
- Introduced NextProcessContext to encapsulate context for processing Next hook responses, enhancing clarity and maintainability.
- Removed deprecated Done and Failback hooks, streamlining the hook management process.
- Enhanced error handling and logging for improved traceability during streaming operations.
- Renamed methods in ToolCallResult from ServerID to Server and ToolName to Tool for improved clarity and consistency.
- Updated i18n messages in builtin.go to remove redundant context, simplifying the label and description for the assistant's streaming process.
- Enhanced the Stream method to include a retry mechanism for tool calls, allowing for up to three attempts in case of errors.
- Introduced detailed logging for each retry attempt, improving traceability and debugging capabilities.
- Added a new method, buildToolRetryMessages, to construct messages for LLM retries, ensuring proper context is maintained.
- Updated the executeLLMForToolRetry method to handle streaming output during retries, providing real-time feedback to users.
- Improved error handling to differentiate between retryable and non-retryable errors, enhancing the robustness of tool call executions.
- Changed the Vision field in ModelCapabilities from bool to interface{} to accommodate both boolean values and VisionFormat strings.
- Modified the getConnectorCapabilities function to directly assign the Vision capability based on the updated model configuration, enhancing compatibility with various vision input formats.
- Renamed and refactored functions and variables to transition from connector settings to model capabilities, enhancing clarity and consistency.
- Updated the loading mechanism to read model capabilities from `models.yml` instead of `connectors.yml`.
- Adjusted the assistant's global settings to utilize model capabilities, ensuring proper integration with the new configuration structure.
- Enhanced the reasoning adapter to support temperature adjustment based on model capabilities, improving flexibility in handling reasoning parameters.
- Added global uses configuration to the assistant, allowing for centralized management of vision, audio, search, and fetch settings.
- Updated the Assistant struct and related methods to support the new Uses configuration, improving flexibility in assistant operations.
- Refactored the Stream method to utilize the new CompletionResponse type, enhancing response handling.
- Introduced new methods for building requests and managing capabilities, streamlining the assistant's interaction with various connectors.
- Updated the Stream method to return a structured response, including create, done, and completion hooks.
- Introduced new methods for managing message history and building LLM requests, enhancing modularity.
- Refactored the Script type to utilize a new hook structure, improving code organization.
- Removed the obsolete hooks file to streamline the codebase.
- Enhanced context types with additional fields for better integration with LLM models.
- Removed commented-out methods from the API interface in assistant types to enhance code cleanliness.
- Introduced a new Response type in context types, ensuring compatibility with the OpenAI API.
- 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.
