- Updated the model list to include various gpt-5 variants.
- Enhanced the ConvertOpenAIRequest function to handle gpt-5 model temperature settings based on specific model prefixes.
- Adjusted default cache and model ratios for new gpt-5 models.
This commit refactors the application's error handling mechanism by introducing a new standardized error type, `types.NewAPIError`. It also renames common JSON utility functions for better clarity.
Previously, internal error handling was tightly coupled to the `dto.OpenAIError` format. This change decouples the internal logic from the external API representation.
Key changes:
- A new `types.NewAPIError` struct is introduced to serve as a canonical internal representation for all API errors.
- All relay adapters (OpenAI, Claude, Gemini, etc.) are updated to return `*types.NewAPIError`.
- Controllers now convert the internal `NewAPIError` to the client-facing `OpenAIError` format at the API boundary, ensuring backward compatibility.
- Channel auto-disable/enable logic is updated to use the new standardized error type.
- JSON utility functions are renamed to align with Go's standard library conventions (e.g., `UnmarshalJson` -> `Unmarshal`, `EncodeJson` -> `Marshal`).
- Introduced a new constant `AzureNoRemoveDotTime` in `constant/azure.go` to manage model name formatting for channels created after May 10, 2025.
- Updated `distributor.go` to set `channel_create_time` in the context.
- Modified `adaptor.go` to conditionally remove dots from model names based on the channel creation time.
- Enhanced `relay_info.go` to include `ChannelCreateTime` in the `RelayInfo` struct.
- Updated English localization files to reflect changes in model name handling for new channels.
- 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
