- 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.
- 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.
