- Refactored model fetching logic to support various authentication methods for OpenAI-compatible APIs.
- Introduced new data models for LLM service requests and responses to standardize interactions across layers.
- Added an adapter base class for unified request execution across different providers.
- Implemented utility functions for building OpenAI-compatible client configurations and request overrides.
- Add support for configuration reload scopes in the plugin runtime.
- Implement validation for SDK plugins to ensure required lifecycle methods are overridden.
- Update the configuration update handling to include scope information.
- Introduce tests for expression auto-check task and NapCat adapter SDK integration.
- Refactor configuration management to support callbacks with variable arguments.
- Improve plugin loading and error handling for configuration updates.
- Ensure that plugins can manage their own configuration updates effectively.
