Reviewed against the official text-tuning data rules; fixes two confirmed
mismatches and fills enforcement gaps:
- thinking: exempt assistant messages carrying tool_calls from the
THINK_TAG_NOT_LAST check — the spec's tool+thinking combo example puts
<think> on a non-last assistant and was previously false-flagged
- DPO support matrix: reject image/video content items, tools, tool_calls
and role:tool (DPO_UNSUPPORTED_ELEMENT); also scan chosen/rejected
- DPO: messages not ending with user upgraded warning -> error
- OpenAI migration: name/weight upgraded warning -> error (spec: must not
carry); drop dead record-level name branch
- tool_call_id: unmatched tool response upgraded warning -> error
(one-to-one per spec); new TOOL_CALL_NO_RESPONSE warning for orphan calls
- loss_weight: validate range at message level too; warn when placed on
anything but the last assistant message (LOSS_WEIGHT_PLACEMENT)
- video params: fps/sample_fps must be within [0.1, 10]
(INVALID_VIDEO_FPS); mode-mismatched params warned
(VIDEO_PARAM_MODE_MISMATCH); video_start/video_end type-checked
- zip: skip macOS packaging metadata (__MACOSX/, .DS_Store, ._*) in
filename constraints and image counting to stop false failures on
Finder-created archives
Tests 45 -> 59 covering every new/changed rule, including a replica of the
spec's official tool+thinking example.
- Support content array format [{text/image/video}] alongside legacy string
- Add tool role support with tool_calls structure and tool_call_id validation
- Add thinking tag placement check (only in last assistant message)
- Add OpenAI migration guards: warn on unsupported name/weight fields
- Add loss_weight range validation (0.0–1.0)
- Fix size limits: SFT/DPO 200MB, CPT 300MB, media ZIP 2GB
- Enforce data.jsonl at ZIP root (reject nested wrapping folders)
- Add ZIP filename constraints: charset [a-zA-Z0-9_-], length ≤120, uniqueness
- Add .tif to accepted image extensions
- Add DPO_LAST_MSG_NOT_USER warning when messages don't end with user role
- CPT profile now uses dedicated 300MB cap instead of shared default
- Expand unit tests from 19 to 45 covering all new validation paths
finetune video create passed a fixed modality "video" to the profile
validator without probing the data for last_frame_path. This caused a
false KF2V_DATA_MISMATCH error when training kf2v models (wan2.2-kf2v-*)
with datasets that correctly contain last_frame_path.
Add sub-variant detection symmetric to the existing image-i2i upgrade:
when a local file is provided, detectModality() inspects the first record
and upgrades "video" → "video-kf2v" if last_frame_path is present.
Previously, fan-out skipped any existing real directory not recorded in
the lock file, treating it as user content. This left stale skill copies
installed by other tools (e.g. npx skills add) permanently out of date.
Now: if the directory contains a SKILL.md, it is recognized as a skill
artifact and replaced with a symlink to the canonical dir. Directories
without SKILL.md are still preserved (user content safety boundary).
- Replace all instances of `npx skills add modelstudioai/cli --all -g` with `bl skill add --name all`
- Update installation documentation in INSTALL.md, README.md, and related files
- Modify code references in config/inventory.ts, generate-reference.ts, and other files
- Update HTML UI messages to reflect new installation command
- Correct setup.md to include binary installation option and update subset install instructions
- Adjust versioning documentation to use new skill installation command
- Update all SKILL.md files with consistent installation instructions
- Add finetune video create subcommand (wan2.7/2.5/2.2 i2v + kf2v)
- Align video hyperparams with official docs (n_epochs=50, per-model batch_size/max_pixels)
- Add --last-frame flag to video generate for kf2v (image2video endpoint)
- Fix wan2.1-2.6 i2v input format (img_url instead of media[])
- Add training_cost field to finetune get/watch (catalog ft price, API-key domain only)
- Add --aigc-* flags to deploy create (optional, for video LoRA prompt config)
- Add `bl deploy pause` and `bl deploy resume` (console domain, first
console-auth commands in deploy group) via modelInstance start/stop APIs
- Add core deploy/lifecycle.ts with input-wrapped console gateway calls
- Switch all dataset/finetune/deploy commands to JSON-only output, removing
text formatting logic
- Expose usage/charge_type in finetune get, model_name/expire_time in
finetune checkpoints with near-expiry warning
- Update deploy delete hint to suggest `bl deploy pause`
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