Merge skill.yaml (metadata) and prompt.md (prompt template) into a
single SKILL.md file with YAML frontmatter, matching the agent-skill
convention used by opencode and Claude Code.
- Add frontmatter parser (_parse_skill_file) to SkillRegistry
- Remove skill.yaml, prompt.md, empty skills/__init__.py
- Remove obsolete load_handler method
- Update tests for new format and cleaned-up fields
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
Cache corruption (NULL model_name/file_name from legacy DB rows or partial
writes) caused format_response to raise KeyError/AttributeError, failing the
entire /loras/list request and showing no models in the UI.
Fix across three layers:
- format_response (lora/checkpoint/embedding): replace direct dict[] access
with .get() fallbacks; return None for entries missing file_path
- handlers: filter None entries from list/excluded/fetch/duplicate/conflict
endpoints instead of letting them crash or appear as null in responses
- model_scanner: always use validate_batch repaired copies (previously
discarded when no invalid entries, leaving None values in raw_data)
- persistent_model_cache: add or-empty-string guards on read and write for
nullable TEXT columns (model_name, file_name, folder, base_model, etc.)
- Add &withMeta=true to image info URL so API returns full generation
metadata (resources with hash/type) instead of null meta
- Fix checkpoint assignment guard: check modelId instead of id so non-
checkpoint types (upscaler) are not wrongly set as recipe checkpoint
- Skip modelVersionIds loop when resources/civitaiResources already
provided LoRAs, preventing hash-resolved duplicates
- Fix int/str type comparison in CivArchive get_model_version so
version ID matching works correctly
When refreshing updates with a folder filter, versions already present in
other folders were excluded from the is_in_library check, making them
appear as available updates. When the user tried to download, the global
check found the file already exists and returned 'model already exists'.
Fix by also collecting the cross-folder version set when folder_path is
provided, and using the union (folder-filtered + cross-folder) for
is_in_library in both _build_record_from_remote and
_merge_with_local_versions.
aria2 default --fsync=true calls fsync() after each write, which blocks
the entire single-threaded process on large files under Docker overlay.
Add --fsync=false to eliminate this blocking source.
Relax aiohttp session timeout: total=30 → sock_connect=10, sock_read=60
so that transient I/O delays don't cut off legitimate tellStatus RPCs.
Increase retry params (4 attempts, 3s delay) to give aria2 more recovery
time when blocked on synchronous I/O.
Root cause: aria2c subprocess stderr pipe (64 KB buffer) was never
drained. When enough error/warning output accumulated, aria2's write()
blocked, freezing the entire process including its RPC handler. The
tellStatus call then timed out after 30s with asyncio.TimeoutError(),
producing the empty error message in 'Failed to query aria2 download
status: '.
Fixes:
- Drain stderr in a background task so pipe never fills up
- Retry get_status() RPC calls up to 3 times on transient failure
- In the failure path, preserve .safetensors when .aria2 is absent
(the download was likely complete on disk)
Sort by Most/Fewest versions first now works when Group by model is off.
- Backend: group items by modelId (respecting version_grouping setting),
count versions per group, sort groups by count, expand groups with
versions sorted by version id descending
- CSS: remove rule that hid the sort option in non-grouped mode
- Tests: add 3 tests covering desc, asc, and same_base variants
- group_by_model dedup now counts versions per group and attaches
version_count; respects update_flag_strategy (same_base) by
sub-grouping on base_model
- Card footer shows clickable 'x versions' link instead of version
name when grouped (hides HIGH/LOW badges); clicking triggers
View Local Versions without page reload
- Added 'Local Versions' sort option (versions_count), auto-hidden
when group_by_model is off
- Sort preference is saved/restored separately for normal and
grouped modes
- VLM flow (triggerVlmView, clearCustomFilter) uses resetAndReload()
via API instead of window.location.reload()
- Fixed cache mutation bug: version_count is now set on a shallow
copy, not the cached dict, preventing stale version_count leaking
into VLM responses
- i18n: all 9 locale files translated
Adds a 'Group by Model' toggle in Layout Settings. When enabled, only the
latest version (highest civitai.id) of each Civitai model is shown as a
single card — older versions sharing the same modelId are hidden.
Backend dedup runs in BaseModelService.get_paginated_data() before
filtering/pagination, ensuring correct paginated results. The setting
is persisted via the existing settings pipeline and passed as a query
parameter to the listing endpoint.
Includes:
- Backend: dedup logic, route param parsing, settings default
- Frontend: API param, SettingsManager wiring, toggle UI
- i18n: translations for all 10 locales
- Tests: unit test covering dedup on/off and standalone items
When a model is already classified as civitai_deleted=True via
.metadata.json but re-enters the failure block through the
civarchive/sqlite provider path (not the default provider),
needs_save was never set to True because civitai_api_not_found
and sqlite_attempted were both False. The flags were never
persisted to SQLite, causing the model to be re-fetched on
every restart.
Also demoted duplicate INFO/ERROR logging in fetch_and_update_model
to DEBUG (the use case already logs at WARNING), and added
exc_info=True to the fetch_all_civitai error handler.
When CivArchive returns HTTP 429 with a large retry_after, the bulk
metadata refresh would block for hours because:
1. FallbackMetadataProvider raised RateLimitError instead of continuing
to the next provider (e.g., SQLite archive was never reached).
2. _RateLimitRetryHelper retried long-rate-limit 429s 3 times — all
futile since the hourly cap hasn't reset.
3. The batch loop had no awareness of persistent rate-limiting,
causing 192+ models to each hammer the same rate-limited endpoint.
Changes:
- FallbackMetadataProvider: all 6 methods now continue to next provider
on RateLimitError instead of raising (model_metadata_provider.py)
- fetch_and_update_model: deleted-model path also continues on
RateLimitError so sqlite provider gets a chance (metadata_sync_service.py)
- _RateLimitRetryHelper: when retry_after >= 120s, only 1 attempt is
made — retries are futile for hour-scale rate limits
- BulkMetadataRefreshUseCase: tracks consecutive rate-limit failures
and aborts early after 3 (bulk_metadata_refresh_use_case.py)
Tests: updated test_fallback_respects_retry_limit for new continue
behavior; added tests for large/small retry_after thresholds.
Build a civitai_image_id → recipe_id mapping once during cache
initialization instead of scanning all recipes on every
check_image_exists and import_from_url call.
- RecipeCache gains an image_id_map field populated by
_build_image_id_map() during cache init
- check_image_exists and import_from_url duplicate detection
now use the precomputed map (O(k) / O(1) vs O(n))
- Map is persisted in SQLite cache_metadata for fast startup
- Incrementally updated on add/remove/bulk_remove paths
- Fix: conn.close() before cache_metadata query (dead connection)
When importing a CivitAI image as a recipe, modelVersionIds[0] was blindly used as the checkpoint version ID. This array mixes checkpoints and LoRAs without ordering guarantees, causing LoRAs to be saved as the recipe checkpoint.
Fix by:
1. Removing the modelVersionIds[0] fallback in _download_remote_media
2. Parsing resources entries with type:"model" as the checkpoint
3. Adding model type validation in populate_checkpoint_from_civitai
Also add 2 tests for the new behavior and fix 3 tests whose mocks lacked the required model.type field.
- _resolve_commercial_bits() no longer has Sell-implies-Image
cascading; each CommercialUse value sets only its own bit,
matching CivitAI's modern array-format API.
- Keep filter tag label as 'Allow Selling' for brevity; add
title/tooltip 'Allow selling generated images' on hover.
- Same tooltip treatment for 'No Credit Required'.
- Add i18n keys for both tooltips across all 10 locales.
- Layer 2 fallback: user tags overlapping with auto-tag categories
(HIGH/LOW/I2V/T2V/TI2V/Lightning/Turbo) are merged into auto_tags,
providing manual override when filename-based detection fails.
Matching is case-insensitive so "high"/"High"/"HIGH" all work.
- Refresh on tag edit: save_metadata and add_tags handlers now return
recalculated auto_tags in the response; the frontend passes them to
VirtualScroller.updateSingleItem so badges update immediately without
requiring a page reload.
- 8 new test cases for Layer 2 fallback and case-insensitive matching.
Duplicate filename detection is only relevant for LoRAs, which use
basename-only syntax (<lora:name:strength>). Checkpoints and diffusion
models reference files via relative paths with extensions, so filename
conflicts there are false positives — there is no resolution ambiguity.
Both _log_duplicate_filename_summary() and DoctorHandler's
_check_filename_conflicts() now skip scanners with model_type != 'lora'.
The method mark_not_downloaded() was misleading — it doesn't negate
'downloaded' history (the model was indeed downloaded before), but
rather sets is_deleted_override = 1 to indicate the version was
downloaded and subsequently deleted. This flag allows re-download when
the 'skip previously downloaded' setting is enabled.
Rename to mark_as_deleted() to accurately reflect its semantics.
Detects when multiple model files share the same basename (causing
ambiguity in LoRA resolution), logs warnings during scanning, and
provides a "Resolve Conflicts" button in the Doctor panel. Resolution
renames duplicates with hash-prefixed unique filenames, migrates all
sidecar and preview files, and updates the cache and frontend scroller
in-place so the model modal immediately reflects the new filename.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
_split _get_records_bulk into 500-id batches so the WHERE IN clause
never exceeds SQLite's 999-parameter ceiling.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
