openvinotoolkit / openvinotoolkit/model_server
SIGSEGV in continuous batching when a streaming client disconnects mid-generation (block_manager.hpp:633 assertion, GPU, 2026.2.1)
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- C++
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Description
Summary
A client that hard-closes its HTTP connection during a streaming
/v3/chat/completions generation reliably crashes the whole OVMS process within
seconds on Intel Arc GPUs. All other in-flight generations in the batch die with
it. Reproduced on demand; also observed 43× in 24 h under an agent fleet whose
callers time out and disconnect.
Environment
- Image:
docker.io/openvino/model_server:2026.2.1-gpu(stock, unmodified) - GPU: Intel Arc Pro B60 (xe driver) and Arc B580 — both affected, VM passthrough
- Model: Qwen3.6-27B INT4 OpenVINO IR (also seen with a 9B on the second card)
- Serving args:
--task=text_generation --target_device=GPU --plugin_config='{"ENABLE_CPU_PINNING":false}' --tool_parser qwen3coder --enable_tool_guided_generation true --reasoning_parser qwen3 --kv_cache_precision u8 --cache_size 4 --enable_prefix_caching true --cache_interval_multiplier 64 --max_num_seqs 16 --max_num_batched_tokens 4096
Reproducer (deterministic)
- POST a streaming chat completion (
"stream": true, long generation). - Read a few SSE chunks.
- Hard-close the client socket mid-stream (
socket.close(), no graceful shutdown). - Within ~90 s the server logs the assertion below and the process exits.
Observed on the very first attempt; kernel gained exactly one segfault entry.
Logs
[llm_executor][error][llm_executor.hpp:132] Error occurred in LLM executor:
Check 'm_block_table.count(seq_id) > 0' failed at
../../../../../repos/openvino.genai/src/cpp/src/continuous_batching/cache/block_manager.hpp:633
Kernel (55+ occurrences over days, all error 4 read faults):
ovms[…]: segfault at … ip …6f3 … error 4 in ovms
libstdc++.so.6.0.33[…] from mediapipe/NNNNN threads
Symbolized against the shipped binary (BuildID a1b35868566ed20139449c9674ff41b1104ec73c):
the faulting IP lands in spdlog::logger::sink_it_+0x43 — i.e. the process dies
while logging, consistent with the executor thread's error path racing the
request-drop path that has already freed the sequence's block table entry.
Impact
--max_num_seqs 16means one disconnected client kills up to 15 innocent
concurrent generations (All requests: 3; Scheduled requests: 3logged at death).- On a GPU deployment the recompile/reload takes 1–6 minutes per crash.
- Any latency spike becomes self-amplifying: slow generations → client timeouts →
disconnects → crash → colder cache → slower generations.
Notes
- The xe "CAT error → engine reset" events sometimes seen after the crash FOLLOW
the segfault by 300–460 ms and are absent for many crashes — downstream cleanup,
not the cause. - Not OOM (
memory.events oom_kill 0), not concurrency-proportional (a second
card at 2.3× the concurrent load crashes 51× less per stream-second — the
discriminating variable is the mid-stream disconnect rate). - 2026.1 release notes mention cancellation of requests from disconnected clients
(NPU); this looks like the GPU continuous-batching cancellation path freeing
seq_idfromm_block_tablewhile the executor still steps the sequence.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with openvino.genai/src/cpp/src/continuous_batching/cache/block_manager.hpp around line 633 and llm_executor.hpp around line 132, tracing cancellation after a streaming client disconnects. Reproduce with the supplied streaming request and hard close; done means the process remains alive and other in-flight generations continue when a client disconnects mid-generation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- ai, backend
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100