- Updated the Stream method to include options for handling message history and context more effectively, ensuring original messages are preserved for autoSearch and delegation.
- Introduced a new buildContextMessage function to consolidate conversation context, filtering out system messages and limiting to the last five user messages for efficiency.
- Enhanced content processing by adding a convertToContentParts function to handle different content formats, improving compatibility with historical data.
- Improved logging and error handling in the executeLLMStream method to ensure clarity in LLM request tracing and response handling.
- Added new utility functions for extracting text content and building context messages, enhancing overall code clarity and maintainability.
- Updated the Vision function and associated handlers to accept a forceUses parameter, allowing explicit control over the use of external tools regardless of model capabilities.
- Modified the Assistant's BuildContent method to set the AssistantID in the context for better file tracking.
- Enhanced the applyCreateResponseOptions method to merge and prioritize Uses and ForceUses configurations from the createResponse.
- Added comprehensive tests to validate the adjustment of Uses and ForceUses configurations through hooks, ensuring correct application in content processing.
- Added support for converting extended types (file, data) to standard LLM types (text, image_url, input_audio) in the Stream method.
- Introduced a new agentCallerWrapper to facilitate agent calls from the content package.
- Implemented ThreadID management for nested agent calls to improve concurrent stream identification.
- Enhanced message handling to include metadata for message_start and message_end events, allowing for better tracking of message states.
- Removed deprecated vision capability checks from the Assistant initialization process, streamlining the codebase.
- Added new content types (file, data) to the context types for improved message content handling.
