GET
/
job-status
/
{job_id}
Checking Job Status
curl --request GET \
  --url https://api.sutro.sh/job-status/{job_id} \
  --header 'Authorization: <authorization>'
{
  "message": "Job completed successfully",
  "job_status": "succeeded",
  "metadata": {}
}
Retrieve the status of a batch inference job by its job_id.

​
Request Parameters

​
job_id
string
required
The job_id returned when you submitted the batch inference job

​
Headers

​
Authorization
string
required
Your Sutro API key using Key authentication scheme.Format: Key YOUR_API_KEYExample: Authorization: Key sk_live_abc123...

​
Response

Returns the current status and details of the batch inference job.
​
message
string
Message describing the job’s current status
​
job_status
string
The current status of the job. See status values below
​
metadata
object
Additional information about the job. If the status is failed during job initialization, will contain a failure_reason key with details about the failure, and optionally an additional_context key with debugging information

​
Job Status Values

The job_status field will be one of the following:
  • succeeded: The job completed successfully
  • failed: The job failed
  • cancelled: The job was cancelled
  • pending: The job is still pending
  • submitted: The job has been submitted
  • starting: The job is starting
  • running: The job is running
  • unknown: The job status is unknown
{
  "message": "Job completed successfully",
  "job_status": "succeeded",
  "metadata": {}
}

​
Code Examples

import requests

job_id = "batch_job_12345"

response = requests.get(
    f'https://api.sutro.sh/job-status/{job_id}',
    headers={
        'Authorization': 'Key YOUR_SUTRO_API_KEY'
    }
)

result = response.json()
print(f"Job Status: {result['job_status']}")
print(f"Message: {result['message']}")

if result['job_status'] == 'failed':
    print(f"Failure Reason: {result['metadata'].get('failure_reason', 'Unknown')}")