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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Dominant language
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)

  1. POST a streaming chat completion ("stream": true, long generation).
  2. Read a few SSE chunks.
  3. Hard-close the client socket mid-stream (socket.close(), no graceful shutdown).
  4. 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 16 means one disconnected client kills up to 15 innocent
    concurrent generations (All requests: 3; Scheduled requests: 3 logged 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_id from m_block_table while the executor still steps the sequence.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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