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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 10, 10:15 UTC

fix: remove duplicate engine_id check in nixl_connector (#31948)

Signed-off-by: Bofeng BF1 Xue <xuebf1@Lenovo.com> Co-authored-by: Bofeng BF1 Xue <xuebf1@Lenovo.com>

Bofeng Xue committed Jan 9, 2026 at 20:13 UTC 55212c140461736b0797ff7a9470f9f9150e5b9a
1 file changed -7
vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.py
-7
@@ -1077,13 +1077,6 @@ class NixlConnectorWorker:
1077 ) from e
1078
1079 # Ensure engine id matches.
1080 - if metadata.engine_id != expected_engine_id:
1081 - raise RuntimeError(
1082 - f"Remote NIXL agent engine ID mismatch. "
1083 - f"Expected {expected_engine_id},"
1084 - f"received {metadata.engine_id}."
1085 - )
1086 - # Ensure engine id matches.
1080 if metadata.engine_id != expected_engine_id:
1081 raise RuntimeError(
1082 f"Remote NIXL agent engine ID mismatch. "