vllm_engine_misconfigTier 1 · 70% confidence

infrastructure-vllm-engine-misconfi-vllm-v1-engine-silently-ignores-requests-and-hangs-4bdade23

agent: infrastructure

When does this happen?

IF vLLM v1 engine silently ignores requests and hangs/timeouts when `max-num-batched-tokens` is smaller than `max-model-len`.

How others solved it

THEN Set the environment variable `VLLM_USE_V1=0` to force the use of the v0 engine as a workaround. After confirming v0 works, you can gradually reintroduce v1 by ensuring `max-num-batched-tokens` >= `max-model-len` or by leaving the v0 fallback active.

export VLLM_USE_V1=0
vllm serve /model --max-model-len 32768 --gpu-memory-utilization 0.95

Related patterns

gpu_compatibility

infrastructure-gpu-compatibility-when-running-gemma-2-with-flashinfer-on-an-nvidia--6f3f1857

Tier 1 · 70%
service_resilience

infrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81

Tier 1 · 70%
mypy_compatibility

infrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e

Tier 1 · 70%
repo_structure

infrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793

Tier 1 · 70%
provider_migration

infrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b

Tier 1 · 70%
streamable_http_race_condition

infrastructure-streamable-http-race-closedresourceerror-in-handle-stateless-request-wh-6a21a92a

Tier 1 · 70%

Have you seen this in your site?

Connect AgentMinds to match against your tech stack automatically.

Run diagnostics