- Introduced prompt preset selection and global prompt disabling features in the assistant's message building process.
- Updated the `buildSystemPrompts` method to prioritize prompt presets and manage global prompt settings based on context and hook responses.
- Added new fields to the `HookCreateResponse` struct for prompt configuration, allowing for dynamic adjustments during message processing.
- Refactored tests to validate the integration of prompt presets and global prompt controls, ensuring robust functionality and context-aware behavior.
- Updated the model capabilities throughout the agent to utilize the new gouOpenAI.Capabilities struct instead of the previous ModelCapabilities.
- Adjusted related methods and types to ensure compatibility with the new capabilities structure, enhancing clarity and maintainability.
- Improved context handling and message processing by directly integrating OpenAI capabilities, streamlining the overall architecture.
- Introduced a new messageMetadataStore type for managing message and block metadata with thread-safe operations.
- Added methods for setting, getting, and updating message and block metadata, enhancing concurrency handling.
- Removed redundant metadata store implementation from types.go, centralizing functionality in message.go for improved organization.
- Implemented logic to auto-generate ChunkID for messages when not provided, enhancing message tracking.
- Utilized IDGenerator if available; otherwise, fallback to message.GenerateNanoID for unique identification.
- Improved message handling consistency by ensuring ChunkID is always set for non-event messages.
- Added EndBlock method to explicitly mark the end of a message block, sending a block_end event.
- Updated message handling to include lifecycle events for message start and end, improving tracking and management of message durations.
- Enhanced message metadata structure to support chunk counting and message types, facilitating better message operations.
- Improved JSAPI documentation to include new lifecycle management features, clarifying usage for developers.
- 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.
- Introduced recordMessageMetadata and getMessageMetadata methods to manage metadata for sent messages, enabling BlockID and ThreadID inheritance in delta operations.
- Implemented new methods (Append, Merge, Set) in the context to enhance message management capabilities, allowing for more flexible message updates.
- Updated the Send method to automatically manage BlockID and ThreadID for delta operations, improving message handling consistency.
- Enhanced JSAPI documentation to reflect new methods and usage patterns, improving developer experience and clarity.
- 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 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.
- Updated the performance assertion for no-op operations in the stress test to account for slower execution times in CI environments, allowing a maximum time of 15ms instead of 5ms.
- Added comments to clarify expected performance metrics for local versus CI runs, improving test documentation and understanding.
- 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.
- 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.
- Revised the JSAPI_OUTPUT.md to provide a comprehensive overview of Agent Hook functions and their usage.
- Added detailed examples for each hook function, demonstrating real-time messaging and error handling.
- Improved the structure and clarity of the documentation, ensuring users can easily understand how to implement and utilize the Context object methods.
- Removed deprecated sections and streamlined the content for better readability.
- 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 Load function and API handlers to replace 'Use' with 'Uses' for assistant configuration, enhancing consistency across the codebase.
- Modified related structures and functions to reflect the new naming convention, ensuring better alignment with the intended functionality.
- Added a new Skip struct to manage request skip configurations, improving request handling flexibility.
- Implemented tests for the GetSkip function to validate skip parameter extraction from both request body and query parameters.
- Updated the test case for force interrupts to clarify that empty messages indicate pure cancellation.
- Improved log messages to reflect the change in behavior, ensuring better understanding of context cancellation during tests.
- Updated the interrupt controller to cancel the context only for force interrupts with no messages, enhancing clarity in cancellation logic.
- Removed unnecessary debug print statements from the completion request handling, improving code cleanliness and performance.
- Allowed empty messages for force interrupts, providing flexibility in cancellation scenarios without requiring additional messages.
- Updated the completion request parsing logic to make the model field optional, allowing for better flexibility in handling requests.
- Enhanced the stream end handling by adding JSON parsing for stream end data and sending a structured message to the frontend.
- Modified the output writer to format data as Server-Sent Events (SSE) and ensured immediate flushing for real-time streaming in both CUI and OpenAI adapters.
- 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.
- Added functionality to archive traces by compressing and marking them as read-only, enhancing data management capabilities.
- Introduced methods for checking if a trace is archived and for unarchiving traces, allowing for better control over trace data.
- Updated the trace manager and driver interfaces to support archiving operations, ensuring consistency across components.
- Enhanced error handling for operations on archived traces, preventing modifications to read-only data.
- Improved trace metadata structure to include archived status and timestamp, facilitating better trace lifecycle management.
- 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.
- 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.
- Introduced a trace manager in the context struct for lazy initialization and management of trace operations.
- Implemented the Trace method in the context to facilitate trace object creation and management within JavaScript.
- Enhanced configuration options for trace drivers, including defaults for local and store drivers, and added path and prefix settings.
- Updated related tests to verify the functionality of the new trace management features.
- Updated trace ID validation in `TestEnterStack_RootCreation` to ensure it is at least 8 digits long.
- Changed import path for the trace package in `stack.go` for consistency.
- Removed the entire `manager.go`, `node.go`, `space.go`, `subscription.go`, `trace.go`, `local/driver.go`, `store/driver.go`, and related types and events files to streamline the trace package, focusing on essential functionality.
- Integrated Claude API keys into GitHub workflows for both unit and PR tests.
- Introduced a new VisionFormat type and constants to manage image input formats.
- Updated ModelCapabilities to support vision input, allowing for flexible handling of image formats.
- Enhanced VisionAdapter to preprocess messages and convert image URLs to base64 format for Claude compatibility.
- Improved OpenAI provider to utilize vision support in message preprocessing, ensuring better integration with vision capabilities.
- 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 DeepSeek API keys and model configurations to the GitHub workflows for both unit and PR tests.
- Introduced a new `ReasoningEffort` parameter in the `CompletionOptions` struct to manage reasoning levels for models like o1 and GPT-5.
- Updated the `ReasoningAdapter` to handle the new `ReasoningEffort` parameter, ensuring it is stripped if not supported by the model.
- Enhanced the OpenAI provider to preprocess options through adapters, improving the handling of reasoning content and ensuring compatibility with DeepSeek R1 reasoning format.
- 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.
- Implemented a state management system for handling different streaming chunk types, including stream start, group start, text, thinking, tool calls, metadata, errors, and stream end.
- Introduced a new Send method in the context to facilitate message sending to the client.
- Enhanced the output package with message sending capabilities, including support for message groups and flushing.
- Improved error handling and message ID generation for better streaming reliability and user feedback.
- Added support for stream lifecycle events including stream_start, stream_end, group_start, and group_end.
- Introduced new data structures for handling lifecycle event data, enhancing communication of stream boundaries and metadata.
- Updated the OpenAI provider to track and emit these events during streaming operations, improving UI/UX capabilities.
- Added tests to validate the correct emission and order of lifecycle events during streaming.
- 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 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.
- Updated the objectRegister method to generate a new ID internally, simplifying the API by removing the need for an external ID parameter.
- Adjusted the NewObject method to utilize the new object registration mechanism, ensuring proper ID assignment and resource cleanup during instance creation.
- Implemented TestJsValueConcurrent to validate the JsValue function under concurrent requests, ensuring proper handling of multiple goroutines.
- Added TestJsValueRegistrationAndCleanup to verify the registration and cleanup of context objects, enhancing resource management.
- Introduced object registration and release mechanisms in the Context type to manage JavaScript object lifecycles effectively.
- Utilized sync.Mutex for thread-safe access to shared resources, improving the robustness of concurrent operations.
- 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.
- Renamed and restructured the TestNewOpenAPI function to TestGetCompletionRequest for clarity.
- Updated test cases to validate completion requests using a structured request body instead of query parameters.
- Enhanced error handling and assertions to ensure comprehensive coverage of various scenarios, including metadata handling and expected outputs.
- Removed the obsolete openapi_chat_test.go file to streamline the test suite.
- 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.
