- Added error handling and logging for completion node creation in the traceAgentCompletion method, improving traceability of failures.
- Introduced a new replaceMethod in the context to allow message content replacement, enhancing message management capabilities.
- Updated documentation for sendMethod and replaceMethod to clarify usage and return values, improving developer experience.
- Updated the traceAgentOutput method to be deprecated in favor of the new traceAgentCompletion method, which creates a dedicated completion node for reporting final outputs.
- Enhanced the i18n messages to include labels and descriptions for the new agent completion functionality, improving localization support.
- Removed debug logging related to MCP tools from the buildCompletionOptions method to streamline the code and improve clarity.
- 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.
- Introduced a new test case for MCP hook overrides in build_mcp_test.go, validating that hooks can successfully modify MCP server configurations.
- Updated the applyMCPTools and buildMCPTools methods to prioritize hook-provided MCP servers over assistant configurations, enhancing flexibility in tool management.
- Enhanced the HookCreateResponse struct to include MCPServers, allowing hooks to specify server configurations for requests.
- Improved error handling and logging throughout the MCP tool application process, ensuring better traceability and debugging capabilities.
- Added detailed debug logging throughout the Stream method to trace execution flow and tool call results, improving visibility during runtime.
- Implemented error tracing with the new traceAgentFail method to capture failures in agent nodes, enhancing error handling.
- Updated MCP tools debugging to provide insights into tool application and validation processes, aiding in troubleshooting.
- Refactored output handling in traceAgentOutput for better clarity and consistency in response management.
- 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.
- Refactored the BuildRequest method to improve clarity and maintainability by separating the building of completion options and final messages.
- Updated the buildMessages function to include MCP samples as system messages, enhancing the message prioritization logic.
- Introduced applyMCPTools method to integrate MCP tools into completion options, improving functionality and flexibility in tool usage.
- Enhanced error handling in completion options to ensure robust application flow.
- 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.
- Simplified the Stream method by extracting capability initialization into a separate function, improving readability and maintainability.
- Enhanced error handling by centralizing trace logging for failures and history tracking.
- Removed the MCP hook implementation as it was no longer needed, streamlining the codebase.
- Updated agent trace handling to ensure consistent logging of agent output and errors.
- Added context release calls in multiple test cases to ensure proper resource cleanup and prevent memory leaks.
- Updated performance thresholds in memory leak tests, increasing acceptable growth per iteration from 10KB to 15KB to account for overhead.
- Improved validation checks in stress tests to ensure response integrity and metadata accuracy, enhancing overall test robustness.
- Refactored performance report for clarity, consolidating key metrics and findings for better readability.
- Cleaned up whitespace in the realworld_stress_test.go file to enhance readability.
- Updated i18n translations for MCP tool operations, ensuring consistent formatting and clarity in both English and Chinese descriptions.
- Deleted agent_test.go to streamline testing structure.
- Removed mcp package and its related fetch and search files to simplify the codebase.
- Enhanced context handling in jsapi_test.go and jsapi.go for better integration with JavaScript.
- Introduced no-op objects for Trace and Node to handle uninitialized states gracefully.
- Updated i18n translations to include new MCP-related labels and descriptions.
- Introduced safeSend method to handle context cancellation and prevent panics when sending commands to state command channel.
- Updated existing state management methods to utilize safeSend, ensuring robust handling of command sending in various states.
- Improved overall stability of state management by addressing potential race conditions and channel closure issues.
- Replaced group-related event types with message-specific types, enhancing clarity in event management.
- Updated stream handling functions to utilize new message start and end events, improving the granularity of message tracking.
- Refactored context management to integrate a context-scoped ID generator for unique message identifiers.
- Removed deprecated group handling methods and streamlined message processing logic.
- Updated tests and documentation to reflect changes in message handling and ensure proper functionality.
- Updated message structures to replace 'StreamStartData' and 'StreamEndData' with 'EventStreamStartData' and 'EventStreamEndData' for better clarity and consistency.
- Introduced 'EventMessageStartData' and 'EventMessageEndData' to represent individual message lifecycle events, enhancing the granularity of message tracking.
- Refactored the 'streamState' and 'groupTracker' to utilize the new message structures, improving the organization and handling of streaming events.
- Enhanced the context management by integrating an ID generator for unique message identifiers, facilitating better tracking of message sequences.
- Updated documentation and tests to reflect the new message structures and ensure proper functionality across the system.
- Introduced SendGroupStart and SendGroupEnd methods for better control over message grouping, allowing for automatic ID generation and event handling.
- Updated streamState structure to track group IDs, message sequences, and chunk counts, improving message organization during streaming.
- Refactored message handling to eliminate the 'done' field, signaling message completion through group_end events instead.
- Revised JSAPI documentation to reflect new methods and usage patterns, enhancing clarity for developers.
- Improved test cases to validate new group handling features and ensure proper functionality.
- Added Metadata field to StreamStartData and StreamEndData structs to facilitate passing additional context information.
- Updated sendAgentStreamStart and sendAgentStreamEnd methods to include new fields for better traceability and context management during streaming events.
- Enhanced the overall structure of stream data to support more comprehensive event tracking and context sharing.
- Updated the buildMessages function to include prompts at the beginning of the final message list, ensuring they take precedence over createResponse.Messages and input messages.
- Improved comments for clarity on message priority handling, enhancing maintainability and understanding of the message construction process.
- Updated the Response struct to include ContextID, RequestID, ChatID, and AssistantID for better traceability and context management.
- Modified the Stream method to return the new fields in the response, enhancing the output for client interactions.
- Added ContextID and ChatID to the StreamStartData struct to improve event tracking during streaming requests.
- Refactored the Stream method to retrieve connector capabilities early, allowing output adapters to utilize them effectively.
- Introduced a new Info method in the Assistant to provide structured assistant information, enhancing context accessibility.
- Updated StreamStartData to include additional fields such as ChatID and Assistant info for better event tracking.
- Improved error handling in the Stream method to ensure robust management of connector retrieval failures.
- Enhanced internationalization support for stream event messages, providing localized output for different clients.
- Updated the interrupt controller to accept context IDs during initialization, improving traceability of interrupt signals.
- Enhanced logging in the Assistant's Stream method to provide detailed trace information for stream lifecycle events.
- Refactored context release logic to improve cleanup processes and added logging for context management.
- Adjusted test cases to align with the new interrupt handling and logging structure, ensuring robust functionality and traceability.
- Updated the TraceNode structure to allow multiple parent IDs, facilitating implicit joins in trace management.
- Enhanced the TraceNodeOption to include a type field for better categorization of nodes.
- Refactored related methods in the trace manager and node handling to accommodate the new parent structure and type field.
- Improved test coverage for trace node creation and retrieval, ensuring robust handling of the new multi-parent functionality.
- Integrated i18n translations for trace logging messages in the Assistant's Stream method, improving localization for user-facing messages.
- Updated logging in the OpenAI provider and CUI writer to utilize i18n for error messages, enhancing clarity and consistency across different locales.
- Added new embedded template handling in the i18n package, allowing for more flexible message formatting with variable substitutions.
- Improved test coverage for i18n functionalities, ensuring robust handling of various translation scenarios and edge cases.
- Updated the Assistant's Stream method to set output for the agent node and conditionally close the output writer based on call depth, improving resource management.
- Integrated detailed trace logging for output closure events, distinguishing between root and nested calls to enhance debugging capabilities.
- Refactored trace creation in context to utilize authorized information for better trace context management.
- Introduced a lightweight persistNode structure for efficient storage of trace nodes, optimizing the save and load operations in local and store drivers.
- Integrated trace management into the Assistant's Stream method, allowing for detailed logging of processing steps and errors.
- Improved error handling in the OpenAI stream and post methods, adding trace logs for retries and failures.
- Enhanced CUI and OpenAI writers to log message adaptation and sending errors, improving debugging capabilities.
- Updated trace manager to use milliseconds for timestamps, ensuring consistency across the trace system.
- Refactored log methods in the trace node to streamline logging and broadcasting of events.
- Added an interrupt controller to manage user interrupts during streaming operations.
- Introduced methods for registering and unregistering contexts in a global registry to facilitate interrupt handling.
- Enhanced the Assistant's Stream method to check for force interrupts and handle them appropriately.
- Updated context creation to include unique IDs for better identification during interrupts.
- Implemented logic for graceful and force interrupts, allowing for flexible response to user signals.
- 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 support for lifecycle event messages, including a new event type for tracking stream states (e.g., stream_start, stream_end).
- Introduced a NewEventMessage function to create event messages with structured properties.
- Updated the output package to include event messages in the built-in types, ensuring compatibility with CUI clients while remaining silent for OpenAI clients.
- Enhanced the DefaultStreamHandler to utilize event messages for better lifecycle tracking during streaming operations.
- Improved error handling and logging in the OpenAI provider to capture and report streaming errors effectively.
- Upgraded Go version to 1.25 and updated several dependencies, including `testify` to v1.11.1 and added new indirect dependencies for JSON schema validation.
- Refactored the assistant's context management to utilize a new `context.Uses` structure, improving the handling of vision, audio, search, and fetch configurations.
- Enhanced the assistant's request building process to support new response formats, including JSON schema validation, ensuring better integration with various tools and services.
- 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.
- Refactored the Makefile to include new benchmark and memory leak detection tests, improving test coverage.
- Introduced context adjustments in the Create method, allowing hooks to modify context fields such as AssistantID, Connector, Locale, Theme, Route, and Metadata.
- Added a new test scenario to validate context field adjustments, ensuring proper updates during assistant operations.
- Updated test preparation to support optional V8 mode configuration for improved performance during benchmarks.
- Introduced a new test scenario to verify context fields in the assistant's JavaScript execution.
- Enhanced validation checks for response messages, ensuring proper handling of success and failure indicators.
- Improved logging for detailed validation results, aiding in debugging and verification of context handling.
- Introduced a new test context creation function to streamline test setup for assistant operations.
- Refactored context structure to replace the deprecated 'Data' field with 'Metadata', improving clarity and consistency.
- Updated various methods to utilize the new 'Metadata' field, ensuring proper handling of request metadata across the system.
- Adjusted tests to reflect changes in metadata handling, enhancing validation of context fields in JavaScript integration.
- Updated the Create method in the Script type to return a structured HookCreateResponse instead of the previous ResponseHookCreate.
- Enhanced the getHookCreateResponse method to handle various response scenarios, including nil and undefined results.
- Refactored context types to introduce the new HookCreateResponse structure, which includes fields for messages, audio configuration, generation parameters, and metadata.
- Adjusted related methods in the Assistant to ensure compatibility with the new response structure.
- Implemented TestCreate to validate the creation of the 'tests.create' assistant.
- Added context handling for the assistant, ensuring proper execution of the script with a sample user message.
- Enhanced error handling to check for the presence of the script in the assistant.
- 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.
- Updated Stream and Run methods in the Assistant to use pointer receivers for context, enhancing performance and clarity.
- Introduced stack management in context handling, including initialization and cleanup of stack references.
- Enhanced the Release method in Context to ensure proper cleanup of resources, including stacks and writer references.
- Added new stack status constants and validation to improve traceability and error handling in agent operations.
- Removed the obsolete JavaScript API file to streamline the codebase.
- 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.
- Deleted obsolete agent API files (agent.go, api.go, api_test.go, types.go) to streamline the codebase.
- Refactored the agent loading logic to initialize the API instance correctly, ensuring proper integration with the new structure.
- Updated context handling to improve clarity and maintainability across the agent's functionality.
- Enhanced error handling and cache management in the agent's initialization process.
- Updated context creation in handleChat, handleGenerateTitle, and handleGeneratePrompts to use the request context, improving context management.
- Commented out unused context settings for assistant ID, silent mode, history visibility, and client type to streamline the code.
- Refactored context handling in assistant methods to enhance clarity and maintainability.
- Removed deprecated functions and cleaned up the context structure for better performance and readability.
- 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.
