- Introduced Cloudflare AI as a new provider with specific configurations in providerModels.js and providers.js.
- Updated DefaultExecutor to handle account ID resolution for Cloudflare AI connections.
- Enhanced AddApiKeyModal and EditConnectionModal to include account ID input for Cloudflare AI.
- Implemented validation for Cloudflare AI API key connections in testUtils.js and route.js.
- Updated UI components to reflect changes in provider management and connection handling.
- Added new image models for GPT 5.2, 5.3, and 5.4, including capabilities for text-to-image and editing.
- Updated embedding handling to include optional dimensions in requests.
- Introduced support for custom embedding providers, allowing dynamic fetching and validation of custom nodes.
- Improved image generation handling with Codex integration, including progress tracking and error handling.
- Enhanced UI components to support adding custom embeddings and displaying their status.
- Implement runtime i18n using MutationObserver for automatic DOM translation
- Add language switcher dropdown in dashboard header (EN/VI/ZH)
- Support 3 languages: English (default), Tiếng Việt, 简体中文
- Add translation files: vi.json (197 entries), zh-CN.json (513 entries, cleaned)
- Translate dashboard UI: sidebar menu, header, settings, MITM page
- Use cookie-based locale persistence with /api/locale endpoint
- Zero component changes required - translations applied at runtime
- Fix Header flicker on route change with key={pathname}
Co-authored-by: eachann <each1024@qq.com>
Based on PR #247 from decolua/9router with runtime approach
Made-with: Cursor
- Add buildQwenBaseUrl function to construct URLs for Qwen resources.
- Update buildProviderUrl to support Qwen model requests.
- Enhance token refresh logic to include provider-specific data for Qwen.
- Refactor CLI Tools page to exclude MITM tools and streamline model retrieval.
- Introduce new components for MITM server management.
- Update API routes to handle Qwen-specific resource URLs and improve error handling.
- Add CursorExecutor for handling requests to the Cursor API using protobuf over HTTP/2.
- Implement CursorAuthModal for user token import from local SQLite database.
- Update provider models and constants to include Cursor as a supported provider.
- Enhance API service with token validation and user info extraction from Cursor tokens.
- Introduce utility functions for checksum generation and protobuf encoding/decoding for Cursor API interactions.
Adds local token usage tracking for all AI providers. Usage data is
captured during stream processing and stored in a local database.
Includes a new Usage tab in the Providers dashboard to visualize
historical token consumption.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
