vllm - 💡(How to fix) Fix fix: handle load failures gracefully in offloading_connector instead of crashing [1 participants]

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vllm-project/vllm#39732Fetched 2026-04-15 06:20:45
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The OffloadingConnectorWorkerSide in offloading_connector.py uses assert success / assert transfer_result.success on the load (GET) path. If a load fails (e.g., file not found, I/O error, corrupted data), the assert crashes the entire vllm worker process.

KV cache loads can fail for legitimate reasons (missing files, storage errors, etc.). The process should not crash on load failure — instead, the failure should be properly reported so the scheduler can fall back to recomputation for that request.

Error Message

The OffloadingConnectorWorkerSide in offloading_connector.py uses assert success / assert transfer_result.success on the load (GET) path. If a load fails (e.g., file not found, I/O error, corrupted data), the assert crashes the entire vllm worker process.

Root Cause

The OffloadingConnectorWorkerSide in offloading_connector.py uses assert success / assert transfer_result.success on the load (GET) path. If a load fails (e.g., file not found, I/O error, corrupted data), the assert crashes the entire vllm worker process.

KV cache loads can fail for legitimate reasons (missing files, storage errors, etc.). The process should not crash on load failure — instead, the failure should be properly reported so the scheduler can fall back to recomputation for that request.

Code Example

success = self.worker.transfer_async(job_id, transfer_spec)
assert success  # crashes the process if load submission fails

---

job_id = transfer_result.job_id
assert transfer_result.success  # crashes the process if load reports failure
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Summary

The OffloadingConnectorWorkerSide in offloading_connector.py uses assert success / assert transfer_result.success on the load (GET) path. If a load fails (e.g., file not found, I/O error, corrupted data), the assert crashes the entire vllm worker process.

KV cache loads can fail for legitimate reasons (missing files, storage errors, etc.). The process should not crash on load failure — instead, the failure should be properly reported so the scheduler can fall back to recomputation for that request.

Problem Locations

offloading_connector.py:644-645 — load submission:

success = self.worker.transfer_async(job_id, transfer_spec)
assert success  # crashes the process if load submission fails

offloading_connector.py:670-672 — load completion:

job_id = transfer_result.job_id
assert transfer_result.success  # crashes the process if load reports failure

For load jobs, the failure should be reported back to the scheduler so it can trigger recomputation for the affected request, rather than crashing the worker process.

extent analysis

TL;DR

Replace assert statements with proper error handling to prevent the worker process from crashing on load failures.

Guidance

  • Identify and replace the assert statements in offloading_connector.py at lines 644-645 and 670-672 with try-except blocks to catch and handle exceptions.
  • Implement error reporting to notify the scheduler of load failures, allowing it to trigger recomputation for the affected request.
  • Consider logging the error for further debugging and monitoring purposes.
  • Review the transfer_async method and transfer_result object to understand the types of exceptions that may be raised and handle them accordingly.

Example

try:
    success = self.worker.transfer_async(job_id, transfer_spec)
except Exception as e:
    # Log the error and report failure to the scheduler
    logger.error(f"Load submission failed: {e}")
    # Notify the scheduler to trigger recomputation
    self.report_load_failure(job_id)

Notes

The exact implementation of error handling and reporting will depend on the specific requirements and existing infrastructure of the system. This guidance provides a general direction for addressing the issue.

Recommendation

Apply a workaround by replacing the assert statements with try-except blocks and implementing error reporting to prevent the worker process from crashing on load failures. This approach allows the system to handle load failures more robustly and trigger recomputation as needed.

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