- Implement `/api/channel/models_enabled` endpoint to retrieve enabled models
- Add `EnabledListModels` handler in controller
- Create new `ModelRatioNotSetEditor` component for managing unset model ratios
- Update router to include new models_enabled route
- Add internationalization support for new model management UI
- Include GPT-4.5 preview model in OpenAI model list
- Update EmbeddingRequest DTO to support more flexible input types
- Add input parsing method to handle various input formats
- Implement ConvertEmbeddingRequest for multiple channel adaptors
- Remove relayMode parameter from EmbeddingHelper
- Add input validation for embedding requests
- Simplify embedding request conversion for different channels
- Introduce `AZURE_DEFAULT_API_VERSION` environment variable
- Set default Azure API version to `2024-12-01-preview`
- Update README documentation for new environment configuration
- Modify Azure channel relay to use default API version when not specified
- Add `RecodeModelName` to `RelayInfo` struct for more flexible model name tracking
- Update text relay and quota consumption to use `RecodeModelName`
- Move reasoning effort from admin info to other info in log generation
- Ensure consistent model name handling across relay components
- Add `ReasoningEffort` field to `RelayInfo` struct
- Update log generation to include reasoning effort in admin info
- Modify logs table component to display reasoning effort when available
- Preserve reasoning effort information during request processing
- Remove model name suffixes after extracting reasoning effort
- Update upstream model name to reflect the base model
- Ensure clean model name is passed to the upstream service
- Modify model suffix parsing to use hyphen-separated suffixes
- Ensure consistent parsing of `-high`, `-medium`, and `-low` reasoning effort indicators
- Support setting reasoning effort via model name suffix
- Add `-high`, `-medium`, and `-low` suffixes to control reasoning effort
- Update README with new model configuration option
- Modify OpenAI adaptor to handle reasoning effort settings
- Implemented conditional logic to double the streaming timeout for models starting with "o1" or "o3".
- Improved handling of streaming timeout configuration to enhance performance based on model type.
