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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.

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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}")

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Parameters

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

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Returns

A JobStatus object with the following fields:
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id
string
The job ID.
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state
JobState
Current state of the job. One of: waiting, delayed, prioritized, waiting-children, active, completed, failed, cancelled.
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progress
float | int | dict
Progress indicator published by the worker. Typically a percentage (0–100) or a custom object. Defaults to 0.
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result
any
The job’s return value once it reaches completed state. None while in progress.
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error
string
Error message if the job has reached failed state. None otherwise.

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Errors

ErrorCause
EntityNotFoundExceptionThe job does not exist, or belongs to a different organization (the API returns 404 in both cases to avoid leaking cross-tenant existence).