Obtener un trabajo de entrenamiento

GET

https://api.fastino.ai

training

jobs

{job_id}

curl https://api.fastino.ai/v1/training/jobs/YOUR_TRAINING_JOB_ID \
  -H "X-API-Key: $FASTINO_API_KEY"

{
  "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
  "type": "config",
  "status": "running",
  "normalized_status": "running",
  "is_terminal_status": false,
  "progress_percent": 40,
  "current_epoch": 2,
  "metrics": {
    "final_training_loss": 0.12,
    "final_validation_loss": 0.18,
    "best_validation_loss": 0.15
  },
  "artifact_ready": false,
  "is_deployable": false,
  "deployability_reason": "job_incomplete"
}

GET /v1/training/jobs/{job_id} Returns one config or interactive training job visible to the caller’s team. For an interactive job, use the job_id returned by POST /v1/training/jobs/create-model.

Request

string

requerido

Your Fastino API key.

string

requerido

Canonical Fastino training-job ID.

curl https://api.fastino.ai/v1/training/jobs/YOUR_TRAINING_JOB_ID \
  -H "X-API-Key: $FASTINO_API_KEY"

Response

Shared fields

string

config when Fastino runs the training loop or interactive when the caller controls the loop through the interactive-job routes.

string

Fastino job ID. Both job types return it, so one field reads either; on an interactive job it is the same value as job_id.

Config job

string

Persisted lifecycle status.

string | null

Stable status for client compatibility.

boolean | null

Whether polling can stop.

integer | null

Current completion percentage from 0 through 100.

integer | null

Current 1-indexed epoch.

string | null

Failure details when available.

object | null

Available training metrics. Common keys are final_training_loss, final_validation_loss, and best_validation_loss. Evaluation metrics are separate and are not guaranteed.

boolean | null

Whether an artifact location is available.

boolean | null

Authoritative deployment-readiness decision.

string | null

Why the job is not deployable.

Config-job records also return their submitted configuration, dataset references, progress, metrics, and artifact metadata.

Interactive job

string

Canonical Fastino job ID for the interactive job. Use it in /v1/training/jobs/{job_id} paths.

string

Legacy run ID for the interactive job. It has the same value as job_id.

string

Interactive lifecycle status: creating, active, stopping, stopped, or failed.

string | null

Why the job stopped: requested, idle_timeout, session_finished, or session_errored. session_errored means the session ended on an error or interruption, creation failed, or Fastino’s training loop stopped the job on an error.

string | null

Why creation failed when status is failed. If Fastino’s training loop stops the job with stop_reason: "session_errored" because its final checkpoint could not be saved, this is checkpoint_save_failed. Otherwise it is null.

boolean

true when status is stopped or failed.

string

Base model used by the interactive training job.

string

Team that owns the interactive job.

boolean

Whether the job trains a LoRA adapter.

boolean

Whether the training state is unusable for further steps.

integer | null

LoRA rank, when applicable.

string

ISO 8601 time of the most recent request to the job.

object | null

Latest training-state checkpoint.

object | null

Latest sampler-weights checkpoint. Checkpoint objects include checkpoint_id, checkpoint_type, time, tinker_path, size_bytes, public, user_metadata, and expires_at.

object | null

String key-value metadata attached when the interactive job was created.

Do not assume config-only fields are populated on an interactive job.

{
  "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
  "type": "config",
  "status": "running",
  "normalized_status": "running",
  "is_terminal_status": false,
  "progress_percent": 40,
  "current_epoch": 2,
  "metrics": {
    "final_training_loss": 0.12,
    "final_validation_loss": 0.18,
    "best_validation_loss": 0.15
  },
  "artifact_ready": false,
  "is_deployable": false,
  "deployability_reason": "job_incomplete"
}

Interactive job

{
  "type": "interactive",
  "job_id": "YOUR_SESSION_ID:train:0",
  "training_run_id": "YOUR_SESSION_ID:train:0",
  "status": "active",
  "stop_reason": null,
  "error_message": null,
  "is_terminal_status": false,
  "base_model": "Qwen/Qwen3.6-35B-A3B",
  "model_owner": "YOUR_TEAM_ID",
  "is_lora": true,
  "corrupted": false,
  "lora_rank": 32,
  "last_request_time": "2026-10-09T18:42:10Z",
  "last_checkpoint": null,
  "last_sampler_checkpoint": {
    "checkpoint_id": "sampler_weights/step-100",
    "checkpoint_type": "sampler",
    "time": "2026-10-09T18:40:02Z",
    "tinker_path": "tinker://YOUR_SESSION_ID:train:0/sampler_weights/step-100",
    "size_bytes": 167772160,
    "public": false,
    "user_metadata": null,
    "expires_at": null
  },
  "user_metadata": {"experiment": "baseline"}
}

An unknown or inaccessible job returns 404. Non-UUID values are treated as interactive job IDs and return 404 when unavailable.

curl https://api.fastino.ai/v1/training/jobs/YOUR_TRAINING_JOB_ID \
  -H "X-API-Key: $FASTINO_API_KEY"

{
  "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
  "type": "config",
  "status": "running",
  "normalized_status": "running",
  "is_terminal_status": false,
  "progress_percent": 40,
  "current_epoch": 2,
  "metrics": {
    "final_training_loss": 0.12,
    "final_validation_loss": 0.18,
    "best_validation_loss": 0.15
  },
  "artifact_ready": false,
  "is_deployable": false,
  "deployability_reason": "job_incomplete"
}

Inferencia

Entrenamiento

Obtener un trabajo de entrenamiento

Request

Response

Shared fields

Config job

Interactive job

​Request

​Response

​Shared fields

​Config job

​Interactive job

Request

Response

Shared fields

Config job

Interactive job