Introduce application uptime monitoring to improve observability and reliability.
• Add UptimeService to track process start time and expose uptime in seconds
• Create /health/uptime endpoint returning the current uptime in JSON format
• Integrate uptime metric into existing health-check middleware
• Update README with instructions for consuming the new endpoint
• Add unit tests covering UptimeService and new health route
This change enables operations teams and dashboards to programmatically
determine how long the service has been running, facilitating automated
alerts and trend analysis.
- 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
- 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
- Added a new endpoint to batch set tags for multiple channels, allowing users to update tags efficiently.
- Introduced a new `BatchSetChannelTag` function in the controller to handle incoming requests and validate parameters.
- Updated the `BatchSetChannelTag` method in the model to manage database transactions and ensure data integrity during tag updates.
- Enhanced the ChannelsTable component in the frontend to support batch tag setting, including UI elements for user interaction.
- Updated localization files to include new translation keys related to batch operations and tag settings.
- Introduced a new `FetchModels` endpoint to retrieve model IDs from a specified base URL and API key, enhancing flexibility for different channel types.
- Refactored `FetchUpstreamModels` to simplify base URL handling and improve error messages during response parsing.
- Updated API routes to include the new endpoint and adjusted the frontend to utilize the new fetch mechanism for model lists.
- Removed outdated checks for channel type in the frontend, streamlining the model fetching process.
