Get Job Status

Retrieve the status of an async job. Use this after calling evaluations.run() in endpoint-connection mode to check whether the inference batch is still running, has completed, or has been cancelled.

Usage

    status = galtea.jobs.get_status(job_id=job_id)
    print(f"State:    {status.state}")
    print(f"Progress: {status.progress}")
    if status.error:
        print(f"Error:    {status.error}")
    if status.result:
        print(f"Result:   {status.result}")

Parameters

job_id

string

required

The ID of the job to inspect. Returned as jobId in the response from evaluations.run().

Returns

A JobStatus object with the following fields:

string

The job ID.

state

JobState

Current state of the job. One of: waiting, delayed, prioritized, waiting-children, active, completed, failed, cancelled.

progress

float | int | dict

Progress indicator published by the worker. Typically a percentage (0–100) or a custom object. Defaults to 0.

result

any

The job’s return value once it reaches completed state. None while in progress.

error

string

Error message if the job has reached failed state. None otherwise.

Errors

Error	Cause
`EntityNotFoundException`	The job does not exist, or belongs to a different organization (the API returns 404 in both cases to avoid leaking cross-tenant existence).

Introduction

SDK

CLI

Concepts

Usage

Parameters

Returns

Errors

​Usage

​Parameters

​Returns

​Errors

Usage

Parameters

Returns

Errors