Get Available Fft Models
Models pre-cached on the caller’s eligible PrimeClusters for FFT dispatch.
Same principal collapse as the dispatch picker (team wins when present, otherwise personal) and the same cluster filter (uncordoned
- heartbeat fresh + non-zero ClusterAllocation) so what surfaces here is what dispatch would actually land on. Only PRESENT-cache clusters contribute — ABSENT / ERROR would 400 the dispatch and NULL (unprobed) hasn’t reported a manifest yet.
Each model carries the list of clusters it’s warm on with gpu_type
cache_synced_atso callers can pin the follow-up dispatch to a specific GPU family without hitting the “picker landed on a cluster that has the GPU but not this model” reject path.
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Query Parameters
Optional team ID. When set, returns FFT models cached on the team's eligible PrimeClusters. When omitted, uses the caller's personal allocations.
Response
Successful Response
Models pre-cached on the caller's eligible PrimeClusters, sorted by
model name. Powers prime train models (or equivalent) so users
dispatching FFT runs don't have to guess which repos are warm.
Same principal collapse as the dispatch picker (team wins when present, otherwise personal) so what shows up here is what dispatch would land on. Only PRESENT-cache clusters contribute — ABSENT / ERROR clusters would 400 the dispatch, and NULL (unprobed) clusters haven't reported a manifest yet.