Introduce an agent skill framework for LLM-driven metadata enrichment:
- AgentCLI (py/agent_cli/): in-process wrappers around internal services
using standard relative imports, eliminating the need for sys.path hacks
- LLMService: centralized BYOK (bring-your-own-key) LLM client supporting
OpenAI, Ollama, and custom OpenAI-compatible endpoints
- PostProcessor: deterministic engine that applies LLM output via AgentCLI
(replaces old handler.py + _BASE_MODEL_ALIASES approach)
- SkillRegistry: filesystem-based skill discovery (skill.yaml + prompt.md)
- AgentService: orchestrates skill execution with WebSocket progress
- Frontend AgentManager: WebSocket listeners, skill execution, config UI
- Context menu entries (single + bulk) for "Enrich Metadata (Agent)"
- Settings UI for AI Provider configuration (BYOK)
- Full i18n support across 9 locales
Bug fixes found during review:
- aiohttp.web.json_response: status_code= -> status=
- settings_modal cancelEditApiKey: wrong argument position
- AgentManager.isLlmConfigured: allow Ollama without API key
- PostProcessor._merge_tags: lowercase all tags to match TagUpdateService
- Fix copy button on embedding cards to copy 'embedding:folder/name' format
- Add send-embedding-to-workflow for Prompt (LoraManager), Text (LoraManager),
and CLIPTextEncode nodes, appending embedding code to text content
- Extend workflow registry to register text-capable nodes by comfyClass
(not generic widget name 'text') to avoid false matches
- Add mode parameter to update_node_widget API/event for append support
- Fix single/bulk context menus: single shows plain 'Send to Workflow',
bulk collapses submenu into direct action for embeddings (append-only)
- Single recipe right-click menu: Re-import from Source
- Bulk context menu: Re-import Metadata for Selected
- Progress overlay with LoadingManager for single and bulk operations
- Virtual scroller data lookup (replaces fragile DOM querySelector)
- Fix dynamic import path for resetAndReload on recipe pages
- Add translation keys for all 9 supported languages
Adds a new bulk operation in the recipes page that allows users to select
multiple recipes and repair their metadata in batch.
Backend:
- New POST /api/lm/recipes/repair-bulk endpoint accepting recipe_ids array
- repair_recipes_bulk handler iterates repair_recipe_by_id for each recipe
- Response includes per-recipe updated data for frontend card refresh
Frontend:
- Bulk context menu: new 'Repair Metadata for Selected' item in Metadata section
- BulkManager.repairSelectedRecipes() with loading/toast flow
- Uses VirtualScroller.updateSingleItem() per repaired recipe (no full reload)
- Visibility controlled via repairMetadata actionConfig flag
Locales:
- Added repairMetadata, repairBulkComplete, repairBulkSkipped, repairBulkFailed
- Translated across all 9 supported languages
Group 15 flat menu items into 5 logical sections (Workflow, Metadata,
Attributes, Organize, Download) with section headers to reduce cognitive
load. Nest the three workflow-related actions (Append, Replace, Copy
Syntax) into a single "Send to Workflow" hover-triggered submenu.
Add submenu infrastructure to BaseContextMenu with mouseover/mouseout
boundary detection, 250ms close delay, and viewport-aware positioning.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Allows downloading example images only for selected models instead of
the entire library. Reuses the existing /api/lm/force-download-example-images
endpoint which already accepts an array of model hashes.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Replaces two separate menu items with a single smart item that dynamically
switches between 'Set as Favorite' and 'Remove from Favorites' based on
whether all selected items are already favorited. Shows a count badge
'(3/5)' when only some items are favorited in a mixed selection.
Supports all model types (LoRA, Checkpoint, Embedding) and recipes via
existing per-item save/update API — no backend changes needed.
