# AsyncJobFailed

Raised when an asynchronous job fails to execute successfully.

This exception is thrown when long-running operations (such as model training, data processing, or batch operations) fail to complete successfully. The job may have been submitted successfully but encountered an error during execution.

Async jobs in Fiddler include operations like model artifact uploads, baseline computations, batch data ingestion, and other time-intensive operations that run in the background.

## Examples

Handling async job failures:

```python
try:
    job = model.upload_artifact(artifact_path)
    job.wait()  # Wait for completion

except AsyncJobFailed as e:
    print(f"Job failed: {e.message}")
    # Check job logs or retry operation
```

Monitoring job status to avoid exceptions:

```python
job = model.upload_artifact(artifact_path)
while not job.is_complete():

    if job.status == JobStatus.FAILED:
        print(f"Job failed: {job.error_message}")
        break

        time.sleep(5)
```


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