- Add IP field to Log model with database index and default empty value
- Implement conditional IP recording based on user setting in RecordConsumeLog and RecordErrorLog
- Add UserSettingRecordIpLog constant and update user settings API to handle record_ip_log field
- Create dedicated "IP记录" tab in personal settings under "其他设置" section
- Add IP column to logs table with help tooltip explaining recording conditions
- Make IP column visible to all users (not admin-only) with proper filtering for consume/error log types
- Restrict display of use_time and retry columns to consume and error log types only
- Update personal settings UI structure: rename "通知设置" to "其他设置" to accommodate new functionality
- Add proper translation support and maintain consistent styling across components
The IP logging feature is disabled by default and only records client IP addresses
for consume (type 2) and error (type 5) logs when explicitly enabled by users
in their personal settings.
- 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.
- Add new context keys for user-related information
- Modify user cache and authentication middleware to populate context
- Refactor quota and notification services to use context-based user data
- Remove redundant database queries by leveraging context information
- Update various components to use new context-based user retrieval methods
- Implement user notification settings with email and webhook options
- Add new user settings for quota warning threshold and notification preferences
- Create backend API and database support for user notification configuration
- Enhance frontend personal settings with notification configuration UI
- Support custom notification email and webhook URL
- Add service layer for sending user notifications
- 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 file data DTO for structured file handling
- Implement file decoder service
- Update Claude and Gemini relay channels to handle various file types
- Reorganize worker service to cf_worker for clarity
- Update token counter and image service for new file types
- Introduced a new constant `ContextKeyRequestStartTime` to store the request start time in the context, enhancing request tracking.
- Updated the `Distribute` middleware to set the request start time in the context using the new constant.
- Modified the `GenRelayInfo` function to retrieve the request start time from the context, ensuring accurate timing information is used in relay operations.
- Added a new `setting` package to replace the `constant` package for configuration management, improving code organization and clarity.
- Moved various configuration variables such as `ServerAddress`, `PayAddress`, and `SensitiveWords` to the new `setting` package.
- Updated references throughout the codebase to use the new `setting` package, ensuring consistent access to configuration values.
- Introduced new files for managing chat settings and midjourney settings, enhancing modularity and maintainability of the code.
- Introduced `GEMINI_VISION_MAX_IMAGE_NUM` to README files for better user guidance.
- Updated `env.go` to retrieve the maximum image number from environment variables, defaulting to 16.
- Modified image handling logic in `relay-gemini.go` to respect the new configuration, allowing disabling of the limit by setting it to -1.
- Removed hardcoded constant for maximum image number in `constant.go` to streamline configuration management.
