- Introduced `image_generate` tool for generating images from text prompts, with options for specifying output file paths and image dimensions.
- Updated `image_read` functionality to allow optional provider specification for enhanced image analysis.
- Implemented new `GenerateImage` method in the LLM API for seamless integration of image generation capabilities.
- Enhanced documentation to include detailed usage examples for both image reading and generation tools.
- Updated tests to validate new image generation features and ensure robust functionality across image tools.
- Refactored the initSandboxV2 function to return a structured result, consolidating the runner, computer, configuration, cleanup function, loading message ID, and roles into a single return type.
- Updated the Stream method to utilize the new sandboxV2InitResult structure, improving clarity and reducing complexity in handling sandbox initialization.
- Introduced role management enhancements, allowing for pre-resolved role connectors to be passed through the request, streamlining connector resolution during execution.
- Adjusted various components to support the new roles structure, ensuring consistent handling across the agent's sandbox operations.
- Added logging for connector resolution and role management, improving diagnostics and traceability during sandbox execution.
- Updated .gitignore to include tools/TOOL-REGISTRATION.md for better project organization.
- Integrated logging for connector resolution failures, providing clearer diagnostics during fallback scenarios.
- Simplified connector ID extraction in various components, ensuring accurate handling of model identifiers.
- Updated model configuration to support new parameters and capabilities, improving overall provider management.
- Enhanced OpenAPI settings to reflect changes in model options and connector behavior, ensuring better alignment with upstream API requirements.
- Updated the system configuration to include new role-level defaults for Light, Vision, and Audio connectors.
- Refactored the resolveSystemConnector function to prioritize per-agent overrides, improving connector resolution logic.
- Enhanced LLMConnector integration across various components to streamline settings retrieval and capabilities management.
- Improved error handling and logging for connector-related operations, ensuring better diagnostics and user feedback.
- Introduced a new preset for Yao Agents in presets.yml, including configuration details such as API URL and capabilities.
- Added new LLM management endpoints in the OpenAPI settings, allowing for CRUD operations on LLM providers and roles.
- Enhanced data structures to support the new LLM functionality, including LLMPageData for aggregated responses.
- Added initialization for LLM Provider and MCP Client Registries during the Load process.
- Implemented reload functionality for both registries to ensure they are properly refreshed when needed.
- Enhanced error handling to capture and report issues during initialization and reloading of the registries.
