> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fiddler.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# AsyncJobFailed

> Raised when an asynchronous job fails to execute successfully.

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 theme={null}
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 theme={null}
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)
```