PRprimeintellect
training

Get Available Fft Models

Changed on

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_at so 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.
get/api/v1/training/available-fft-models

Request

  • Base URL
    https://api.primeintellect.ai
  • Auth
    HTTP bearer

Query parameters

team_idstring nullable

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

onDemandBetaAccessboolean

Whether this account is enrolled in the on-demand beta. False means onDemand is empty because of enrolment, not because capacity is missing — it lets a client say 'ask for access' instead of 'nothing is running'. Carries no rates, so a non-enrolled account still learns nothing about pricing.

Changes