Introduce two new visualizations to the “Model Data Analysis” panel:
1. Model Consumption Trend (line chart)
• Added `spec_model_line` state and legend support.
• Calculates per-model counts over time and updates via `updateChartData`.
2. Model Call Ranking (bar chart)
• Added `spec_rank_bar` state with `seriesField` and legend enabled.
• Ranks models by total call count.
Additional changes:
• Extended tab navigation with two new `TabPane`s and adjusted chart rendering logic.
• Swapped icons/texts to match new chart purposes.
• Reused existing color mapping to ensure consistent palette.
No breaking changes; UI now offers richer insights into model usage patterns.
Summary:
• Imported InputNumber from @douyinfe/semi-ui.
• Swapped plain Input for InputNumber in “Add Quota” modal.
• Added UX tweaks: full-width styling, showClear, step = 500 000.
• Initialized addQuotaLocal to an empty string so the field starts blank.
• Adjusted state handling and kept quota calculation logic unchanged.
This improves numeric input accuracy and overall user experience without breaking existing functionality.
Motivation
• Remove unused UI components to keep the bundle lean and silence linter warnings.
• Ensure every time the side-sheet opens it reflects the latest tag data, avoiding stale form values (e.g., model / group mismatches).
Key Changes
1. UI Imports
– Dropped `Input`, `Select`, `TextArea` from `@douyinfe/semi-ui` (unused in Form-based version).
2. State Reset & Form Sync
– On `visible` or `tag` change:
• Refresh model & group options.
• Reset `inputs` to clean defaults (`originInputs`) carrying the current `tag`.
• Pre-fill Form through `formApiRef` to keep controlled fields aligned.
3. Minor Cleanup
– Added inline comment clarifying local state reset purpose.
Result
Opening the “Edit Tag” side-sheet now always displays accurate data without residual selections, and build output is cleaner due to removed dead imports.
Overview
• Migrated both `EditChannel.js` and `EditToken.js` to fully leverage Semi UI `Form.*` components, removing legacy `Input/Select/TextArea` + manual labels.
• Unified data-loading strategy: when the drawer becomes visible we load (or reset) data via `props.visible + id` effect and `formApi.setValues()`, guaranteeing fields are always populated; form resets on close.
• Fixed blank-form bug when opening the same record twice.
Key improvements
1. Validation
• `type`, `models` always required.
• `key` required only while creating (not on edit).
2. Batch key creation
• Checkbox moved into `extraText`; hidden when editing or when channel type = 41.
3. Layout & UI
• `Row / Col` (12 + 12) for “Priority” and “Weight”.
• Placeholders revised; model selector now shows creation hint; removed obsolete banner.
• Help / extraText used for long hints, template buttons (`model_mapping`, `status_code_mapping`, `param_override`, etc.), and API address notice.
• Added `showClear`, `min`, rounded card class names for consistency.
4. Reusable helpers
• `batchAllowed`, `batchExtra` utilities.
• `getInitValues()` + centralized `inputs`→form synchronization.
5. Token editor aligned to the same pattern (`props.visiable` watcher).
Result
Cleaner code, consistent UX, instant field population on every open, and clearer validation/error feedback across both editors.
* backend
- constant/endpoint_type.go
• Add EndpointTypeMidjourney, EndpointTypeSuno, EndpointTypeKling, EndpointTypeJimeng.
- common/endpoint_type.go
• Map Midjourney / MidjourneyPlus, SunoAPI, Kling, Jimeng channel types to the new endpoint types.
* frontend
- ModelPricing.js
• Add “Supported Endpoint Type” column.
• Implement renderSupportedEndpoints with `stringToColor` for consistent tag colors.
These changes allow `/api/pricing` and model lists to return accurate
`supported_endpoint_types` covering all non-OpenAI providers and display
them clearly in the UI.
No breaking changes.
This update replaces instances of DecodeJson and DecodeJsonStr with UnmarshalJson and UnmarshalJsonStr in various relay handlers, enhancing code consistency and clarity in JSON processing. The changes improve maintainability and align with recent refactoring efforts in the codebase.
This update adds the IOCopyBytesGracefully function to the common package, which simplifies the process of copying response bodies in the OpenAI handlers. It enhances error handling and ensures proper resource management by encapsulating the logic for setting headers and writing response data. The OpenAI handlers have been refactored to utilize this new function, improving code clarity and maintainability.
This update standardizes the closure of HTTP response bodies across multiple stream handlers, enhancing error management and resource cleanup. The new method ensures that any errors during closure are handled gracefully, preventing potential request termination issues.
Changes:
- Replaced error returns with logging for response body copy failures to prevent early termination of the request.
- Ensured that the response body is closed properly after writing to the client.
- Added comments to clarify the handling of billing and error reporting after the response has been sent.
This update improves error handling and maintains resource management in the OpenAI handler.
Previously, the "Fetch Model List" button was visible in the channel-creation view even though
it only functions once a channel record exists, leading to user confusion.
Changes introduced:
• Render the "Fetch Model List" button only when editing an existing channel (`isEdit === true`).
• Display an informational Banner in creation mode to remind users that the upstream model list
can be fetched after the channel has been created.
• Refactored JSX to apply the above conditional rendering without altering existing logic.
This update streamlines the creation workflow and sets clearer expectations for users.
