Create a managed fine-tuning job
Create a managed fine-tuning job anchored to an eval run whose exported JSONL is the training dataset. The body names the eval_run_id (422 FINE_TUNE_EVAL_RUN_NOT_FOUND when the run is unknown to this agent), the provider, base model, format, and optional hyperparameters — Orbit tracks the external job lifecycle; it never submits to a provider or holds provider credentials. Returns 422 FINE_TUNE_JOBS_LIMIT when the per-agent job cap is reached. Audit-logged; agents:write scope + owner/admin/developer role.
Authorizations
Dashboard JWT token from Clerk
Headers
Stripe-style idempotency token. Pass a stable, client-generated value (1-255 chars) to dedupe retries on transient timeouts. The same key+credential+path replays the original response for 24h on 2xx (5min on 4xx, 30s on 5xx). Returns 409 if a concurrent request with the same key is already in flight; replayed responses include the Idempotency-Replay: true response header.
1 - 255Sandbox opt-in for Clerk-session-authenticated requests. Set to true to route the call through the test-mode pipeline: no real provider delivery, no credits deducted, response meta.test_mode: true. Ignored for live API keys (dv_live_sk_*) — server-to-server clients must use a test-prefixed key (dv_test_sk_*) to exercise sandbox. Test-prefixed keys unconditionally enable sandbox regardless of this header.
true, false Path Parameters
Response
Successful response.