Insert Training at step 4 in WIZARD_STEPS (7→8), STEP_LABELS, and
STEP_ROUTES. Bump Identity→5, Inference→6, Search→7, Integrations→8 in
their respective saveStep calls. Cap resumeAt at 8. Await loadStatus()
before loadDbPairs() in FineTuneView onMounted so optedIn is set before
the early-exit guard runs.
Inserts a new optional Training Export step between Resume and Identity
in the setup wizard. Users can opt in to saving cover letters for
fine-tuning dataset export. Consent copy distinguishes local vs. cloud
storage. WIZARD_STEPS bumped to 7; router, and adjacent step
back/next navigation updated accordingly.
- PATCH /api/settings/fine-tune/opt-in — toggle training_export_opt_in in user.yaml
- GET /api/settings/fine-tune/db-pairs — list DB jobs with exclusion flags (403 without opt-in)
- PATCH /api/settings/fine-tune/db-pairs/{id}/exclude|include — per-job exclusion toggle
- GET /api/settings/fine-tune/export — NDJSON streaming download of all training pairs (DB + file)
- POST/GET /api/settings/fine-tune/cloud-request|cloud-status — Phase 2 stubs (501)
- finetune_status now includes opted_in field
- 6 new API tests; all 17 tests pass
Add excluded_from_training column to jobs table (migration 009 + _MIGRATIONS
entry for existing DBs). Add get_db_pairs(), get_training_pairs(), and
set_training_exclusion() helpers for the cover letter training export pipeline.
Add test_training_export.py with 8 tests covering all helpers (all passing).
Premium/ultra users with a custom_writing_model in their session are
routed to that model as the first cf-orch candidate; all other tiers
use the shared Qwen2.5-3B-Instruct base. complete_json() is unchanged
since fine-tuned writing models aren't trained for structured output.
Adds _request_tier and _request_writing_model ContextVars. Resolution
order: USER_WRITING_MODELS env var (Monday path) then Heimdall meta
(future path via peregrine#110).
