- 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.
- 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.
- Adjusted indentation and formatting in the OpenAI provider's logging statements to enhance readability and maintainability.
- Cleaned up test files by removing unnecessary blank lines, improving overall code clarity and consistency.
- Ensured that logging for request and response details is properly structured for better debugging capabilities.
- Introduced new methods in the trace manager for retrieving events, trace info, nodes, logs, and spaces from storage, improving data access and management.
- Updated the driver implementations to support loading and unarchiving traces, ensuring robust handling of trace data.
- Enhanced error handling and logging in the OpenAI provider to facilitate better debugging and traceability of requests and responses.
- Added a new TraceSpaceData struct to encapsulate space metadata along with key-value data for improved API responses.
- 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.
- Added a new field to track the current message type (text, thinking, tool_call) in the streamState struct.
- Updated message handling methods to set the current message type appropriately.
- Modified the group end handling to use the tracked message type when sending messages, ensuring accurate type representation.
- Enhanced unit tests to verify the correct handling of group end events and their associated types.
- 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.
- Removed legacy and audio providers, consolidating functionality into a new architecture that separates API format handling from capability management.
- Updated the OpenAI provider to support capability adapters for tool calls, vision, audio, and reasoning, enhancing modularity and extensibility.
- Introduced a new method for detecting API formats and streamlined the provider selection process.
- Enhanced documentation to reflect the new architecture and clarify provider capabilities and usage.
- 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.
- Added context cancellation handling in the OpenAI provider's Stream and Post methods, allowing for graceful termination of operations when the context is cancelled.
- Implemented a new test, TestOpenAIStreamContextCancellation, to validate that streaming respects context cancellation, ensuring proper error handling and event emission during cancellation scenarios.
- Refactored context usage in existing methods to improve consistency and reliability in handling context across streaming operations.
- Removed unnecessary blank lines in the TestOpenAIStreamLifecycleEvents function to improve code readability.
- Adjusted log formatting for group_end event to ensure consistent output during test execution.
- 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.
- Introduced TestOpenAIJSONMode and TestOpenAIJSONModePost to validate JSON response formatting for streaming and non-streaming requests.
- Added TestOpenAIJSONSchema and TestOpenAIJSONSchemaPost to ensure compliance with strict JSON schema validation.
- Enhanced request body construction in the OpenAI provider to support JSON schema details in response formats.
- Added message preprocessing in the base provider to filter unsupported content types (vision and audio) based on model capabilities.
- Introduced new methods in the OpenAI provider for handling streaming and non-streaming requests with retry logic and tool call validation.
- Enhanced request body building to support various options and improved error handling for API interactions.
- Implemented validation for tool call arguments against JSON schemas, ensuring compliance with expected formats.
- 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.
