""" Qwen3-Omni reliability integration tests. """ from __future__ import annotations import concurrent.futures import errno import json import os import time from pathlib import Path from typing import Any, Protocol import pytest import torch from tests.dfx.conftest import ( assert_fault_exception, create_reliability_omni_server_params, resolve_oom_device_spec, ) from tests.dfx.reliability.helpers import ( FaultInjector, assert_no_server_tree_process_residual_and_gpu_release, extract_openai_error_contract_from_bytes, get_health_raw, inject_gpu_oom, make_process_kill_fault_injector, make_server_root_kill_fault_injector, make_server_tree_kill_fault_injector, post_chat_completions_raw, post_json_raw, run_fault_injection_with_rate_load, stop_gpu_oom_hogs, worker_residual_timeout_after_kill_signal, ) from tests.helpers.mark import hardware_test from tests.helpers.media import generate_synthetic_audio, generate_synthetic_image, generate_synthetic_video from tests.helpers.runtime import dummy_messages_from_mix_data RELIABILITY_SCENARIOS: list[dict[str, Any]] = [ { "test_name": "qwen3_omni_reliability_async_chunk", "server_params": { "model": "Qwen/Qwen3-Omni-30B-A3B-Instruct", "stage_config_name": "qwen3_omni_moe.yaml", "server_args": ["--async-chunk"], }, }, { "test_name": "qwen3_omni_reliability_default", "server_params": { "model": "Qwen/Qwen3-Omni-30B-A3B-Instruct", "stage_config_name": "qwen3_omni_moe.yaml", "server_args": ["--no-async-chunk"], }, }, ] DEPLOY_CONFIGS_DIR = Path(__file__).resolve().parent.parent.parent.parent / "vllm_omni" / "deploy" def _default_oom_device_spec() -> str: """Use currently visible CUDA ordinals to avoid invalid device index in sidecar.""" count = torch.accelerator.device_count() if count <= 0: return "0" return ",".join(str(i) for i in range(count)) OOM_INJECTION_CONFIG = { "device": _default_oom_device_spec(), "target_mem_ratio": 0.95, "hold_seconds": 0, "startup_timeout_sec": 20, "strict": False, } # Post-fault recovery probe: keep the API process alive on the same GPU. # ``strict=True`` sidecars keep allocating until CUDA refuses, which often # evicts/kills the server; here we only take a fraction of *initial* free # memory and stop, then rely on a heavy multimodal forward to hit OOM. OOM_RECOVER_INJECTION_CONFIG = { "device": _default_oom_device_spec(), # ``strict=False`` stops at this fraction of *initial* free memory per GPU (see helpers sidecar). # On multi-GPU hosts a mild ratio plus a small e2e-style mix can still leave several GB free # on a data-parallel device and the request succeeds; 0.92+ pairs better with the heavy # probe payload below. Raise toward 0.94 only if fault phase still never fails; avoid strict=True # here so the API process is not squeezed to zero slack. "target_mem_ratio": 0.8, "hold_seconds": 0, "startup_timeout_sec": 20, "strict": False, } FAULT_ERROR_KEYWORDS = ( "the request failed", "oom", "out of memory", "cuda", "orchestrator", "timeout", "connection", "500", "503", ) PROCESS_KILL_ERROR_KEYWORDS = ( "timeout", "did not complete within", "connection", "engine", "orchestrator", "dead", "internal", "500", "503", ) # Prefix match for vLLM-titled children (``VLLM::Worker``, ``VLLM::StageEngineCoreProc_*``, …). # Must be a literal substring of ``name``/``cmdline`` — no trailing whitespace (would break match). RUNTIME_WORKER_PATTERN = "VLLM::" # RFC#2366 signal x target matrix: # - worker: SIGTERM, SIGKILL # - serve-root no-load: SIGINT; SIGTERM/SIGKILL skipped (vllm issue#43060) # - serve-root with-load: SIGINT; SIGTERM skipped (issue#3683); SIGKILL skipped (issue#43060) # - serve-tree no-load: SIGTERM/SIGKILL # - serve-tree with-load: SIGKILL; SIGTERM skipped (issue#3683) _SERVE_ROOT_NON_SIGINT_SKIP = pytest.mark.skip(reason="vllm issue#43060") _WITH_LOAD_SIGTERM_SKIP = pytest.mark.skip(reason="issue#3683") SERVE_SIGNAL_PARAMS = [ pytest.param("SIGTERM", id="sigterm"), pytest.param("SIGINT", id="sigint"), pytest.param("SIGKILL", id="sigkill", marks=_SERVE_ROOT_NON_SIGINT_SKIP), ] SERVE_WITH_LOAD_SIGNAL_PARAMS = [ pytest.param("SIGTERM", id="sigterm", marks=_WITH_LOAD_SIGTERM_SKIP), pytest.param("SIGINT", id="sigint", marks=_WITH_LOAD_SIGTERM_SKIP), pytest.param("SIGKILL", id="sigkill", marks=_WITH_LOAD_SIGTERM_SKIP), ] TREE_SIGNAL_PARAMS = [ pytest.param("SIGTERM", id="sigterm"), pytest.param("SIGKILL", id="sigkill"), ] TREE_WITH_LOAD_SIGNAL_PARAMS = [ pytest.param("SIGTERM", id="sigterm", marks=_WITH_LOAD_SIGTERM_SKIP), pytest.param("SIGKILL", id="sigkill"), ] WORKER_SIGNAL_FAULT_PARAMS = [ pytest.param( make_process_kill_fault_injector( grep_patterns=RUNTIME_WORKER_PATTERN, signal_name="SIGTERM", limit=1, post_kill_wait_seconds=2.0, ), id="runtime_process_chain_sigterm", ), pytest.param( make_process_kill_fault_injector( grep_patterns=RUNTIME_WORKER_PATTERN, signal_name="SIGKILL", limit=1, post_kill_wait_seconds=2.0, ), id="runtime_process_chain_sigkill", ), ] INFLIGHT_INJECTION_REQUEST_RATE = 0.3 INFLIGHT_INJECTION_REQUEST_COUNT = 10 # Post-fault chat probe: ``MAX_ELAPSED`` aligns with HTTP read timeout; assert allows +1s jitter # when the client raises at timeout (e.g. ~30.03s). _PROCESS_KILL_WORKER_CHAT_FF_HTTP_TIMEOUT_SEC = 30 _PROCESS_KILL_WORKER_CHAT_FF_MAX_ELAPSED_SEC = 30 class _HasServeArgs(Protocol): model: str serve_args: list[str] def _get_system_prompt() -> dict: return { "role": "system", "content": [ { "type": "text", "text": ( "You are Qwen, a virtual human developed by the Qwen Team, Alibaba Group, " "capable of perceiving auditory and visual inputs, as well as generating text and speech." ), } ], } def _get_mix_prompt() -> str: return "What is recited in the audio? What is in this image? Describe the video briefly." def _mix_chat_completions_probe_payload(omni_server: _HasServeArgs) -> dict[str, Any]: """Heavy multimodal ``/v1/chat/completions`` body for OOM recover tests. Uses the same synthetic sizes as ``test_reliability_fault_gpu_oom_chat_large_payload_failure`` (large vision tensors + long text), not the light expansion mix (224² / 5s audio): under ``strict=False`` sidecars, a small mix often still completes on a GPU that retains multi-GB free after the hog stops at ``target_mem_ratio``. """ video_data_url = f"data:video/mp4;base64,{generate_synthetic_video(1280, 720, 161)['base64']}" image_data_url = f"data:image/jpeg;base64,{generate_synthetic_image(1280, 720)['base64']}" audio_data_url = f"data:audio/wav;base64,{generate_synthetic_audio(20, 1)['base64']}" messages = dummy_messages_from_mix_data( system_prompt=_get_system_prompt(), video_data_url=video_data_url, image_data_url=image_data_url, audio_data_url=audio_data_url, content_text="What is recited in the audio? What is in this image? What is in this video? " * 200, ) return { "model": omni_server.model, "messages": messages, "stream": True, "modalities": ["text", "audio"], } def _fault_keywords_match_response(*, status: int, body: bytes) -> bool: """True when HTTP status or body text looks like an expected fault / OOM class outcome.""" if status >= 400: return True text = body.decode("utf-8", errors="replace").lower() # Avoid matching bare ``"500"`` / ``"503"`` in successful streamed bodies (base64/SSE noise). body_fault_hints = ( "the request failed", "oom", "out of memory", "cuda", "orchestrator", "timeout", "connection refused", "connection reset", ) return any(key in text for key in body_fault_hints) def _deploy_config_path_from_omni_server(omni_server: _HasServeArgs) -> str | None: args: list[str] = omni_server.serve_args for i, arg in enumerate(args): if arg == "--deploy-config" and i + 1 < len(args): return args[i + 1] if arg.startswith("--deploy-config="): return arg.split("=", 1)[1] return None def _looks_like_server_unreachable(exc: BaseException) -> bool: """True when /health cannot be reached because nothing is listening (process exited).""" if isinstance(exc, (ConnectionRefusedError, BrokenPipeError, ConnectionResetError)): return True errno_val = getattr(exc, "errno", None) if isinstance(exc, OSError) and errno_val is not None: return errno_val in ( errno.ECONNREFUSED, errno.ECONNRESET, errno.EPIPE, ) msg = str(exc).lower() return "connection refused" in msg or "actively refused" in msg def _chat_request_config(omni_server: _HasServeArgs) -> dict[str, Any]: messages = dummy_messages_from_mix_data( system_prompt=_get_system_prompt(), content_text="What is the capital of China? Answer in one short sentence.", ) return { "model": omni_server.model, "messages": messages, "stream": False, "modalities": ["text"], } def _assert_post_fault_chat_fast_fail(host: str, port: int, *, model: str, scenario: str) -> None: payload = { "model": model, "messages": [{"role": "user", "content": "post-fault fast-fail check"}], "stream": False, "modalities": ["text"], } start = time.monotonic() try: status, body = post_json_raw(host, port, "/v1/chat/completions", payload, timeout_sec=20) elapsed = time.monotonic() - start assert elapsed < 15, f"[{scenario} fast_fail] /v1/chat/completions did not fail fast: {elapsed:.2f}s" assert status >= 500, ( f"[{scenario} fast_fail] expected server-side error after fault, got status={status}, body={body[:200]!r}" ) except Exception: # noqa: BLE001 elapsed = time.monotonic() - start assert elapsed < 15, f"[{scenario} fast_fail] exception was too slow after fault: {elapsed:.2f}s" def _assert_post_fault_health_terminal(host: str, port: int, *, scenario: str) -> None: deadline = time.monotonic() + 20.0 last_observation = "" while time.monotonic() < deadline: try: status, body = get_health_raw(host, port, timeout_sec=5) last_observation = f"http={status}, body={body[:200]!r}" if status == 503: return except Exception as exc: # noqa: BLE001 last_observation = f"exception={exc!r}" return time.sleep(0.5) pytest.fail(f"[{scenario} health] no terminal post-fault health observed: {last_observation}") def _assert_server_alive_after_fault(host: str, port: int, *, scenario: str) -> None: """#4285: a single-stage engine death must NOT take down the API server. The process must stay up and keep answering /health (503 is acceptable — errored but listening). A connection-refused means the server process exited, which is the bug this fix closes. """ deadline = time.monotonic() + 15.0 responded = False while time.monotonic() < deadline: try: status, _ = get_health_raw(host, port, timeout_sec=5) responded = True assert status in (200, 503), f"[{scenario} alive] unexpected /health status={status}" except Exception as exc: # noqa: BLE001 if _looks_like_server_unreachable(exc): pytest.fail(f"[{scenario} alive] server exited after single-stage OOM (#4285): {exc!r}") raise time.sleep(0.5) assert responded, f"[{scenario} alive] /health never responded after fault" QWEN_PARAMS = create_reliability_omni_server_params(RELIABILITY_SCENARIOS, DEPLOY_CONFIGS_DIR) @pytest.mark.slow @hardware_test(res={"cuda": "H100"}, num_cards=2) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_gpu_oom_error_contract_consistent_chat_speech( omni_server_function, ) -> None: """Black-box: text chat vs omni audio output should expose a consistent error contract under OOM. Speech-style output is requested via ``/v1/chat/completions`` with ``modalities`` that include ``audio``. """ device_spec = resolve_oom_device_spec( OOM_INJECTION_CONFIG, _deploy_config_path_from_omni_server(omni_server_function), ) handle = inject_gpu_oom( device=device_spec, target_mem_ratio=OOM_INJECTION_CONFIG["target_mem_ratio"], hold_seconds=OOM_INJECTION_CONFIG["hold_seconds"], startup_timeout_sec=OOM_INJECTION_CONFIG["startup_timeout_sec"], strict=OOM_INJECTION_CONFIG["strict"], ) host = omni_server_function.host port = omni_server_function.port mix_base = _mix_chat_completions_probe_payload(omni_server_function) oom_contract_timeout_sec = 120 try: chat_status, chat_body = post_json_raw( host, port, "/v1/chat/completions", { "model": mix_base["model"], "messages": mix_base["messages"], "stream": False, "modalities": ["text"], }, timeout_sec=oom_contract_timeout_sec, ) speech_status, speech_body = post_json_raw( host, port, "/v1/chat/completions", { "model": mix_base["model"], "messages": mix_base["messages"], "stream": False, "modalities": ["text", "audio"], }, timeout_sec=oom_contract_timeout_sec, ) finally: stop_gpu_oom_hogs(handle) # Under OOM pressure both chat and speech should surface runtime-class (5xx) # failures instead of request-validation-class (4xx) errors. chat_error = extract_openai_error_contract_from_bytes(chat_body) speech_error = extract_openai_error_contract_from_bytes(speech_body) print(chat_status, chat_error, speech_status, speech_error) assert chat_status >= 500, f"expected chat error under OOM, got status={chat_status}" assert speech_status >= 500, f"expected speech runtime error under OOM, got status={speech_status}" assert chat_error is not None, f"chat error payload not OpenAI-compatible: {chat_body[:300]!r}" assert speech_error is not None, f"speech error payload not OpenAI-compatible: {speech_body[:300]!r}" assert "code" in chat_error, f"chat error lacks code field: {chat_error!r}" assert "code" in speech_error, f"speech error lacks code field: {speech_error!r}" # #4285: a single dead stage must not take the whole API server down. _assert_server_alive_after_fault(host, port, scenario="oom_contract") @pytest.mark.slow @hardware_test(res={"cuda": "H100"}, num_cards=2) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_gpu_oom_chat_large_payload_failure(omni_server_function, openai_client_function) -> None: device_spec = resolve_oom_device_spec( OOM_INJECTION_CONFIG, _deploy_config_path_from_omni_server(omni_server_function), ) handle = inject_gpu_oom( device=device_spec, target_mem_ratio=OOM_INJECTION_CONFIG["target_mem_ratio"], hold_seconds=OOM_INJECTION_CONFIG["hold_seconds"], startup_timeout_sec=OOM_INJECTION_CONFIG["startup_timeout_sec"], strict=OOM_INJECTION_CONFIG["strict"], ) try: video_data_url = f"data:video/mp4;base64,{generate_synthetic_video(1280, 720, 161)['base64']}" image_data_url = f"data:image/jpeg;base64,{generate_synthetic_image(1280, 720)['base64']}" audio_data_url = f"data:audio/wav;base64,{generate_synthetic_audio(20, 1)['base64']}" messages = dummy_messages_from_mix_data( system_prompt=_get_system_prompt(), video_data_url=video_data_url, image_data_url=image_data_url, audio_data_url=audio_data_url, content_text=f"{_get_mix_prompt()} " * 200, ) request_config = { "model": omni_server_function.model, "messages": messages, "stream": True, "key_words": {"audio": ["test"]}, } try: openai_client_function.send_omni_request(request_config, request_num=1) except Exception as exc: assert_fault_exception(exc, FAULT_ERROR_KEYWORDS) else: pytest.fail("expected large chat payload request failure during GPU OOM injection") finally: stop_gpu_oom_hogs(handle) @pytest.mark.slow @hardware_test(res={"cuda": "H100"}, num_cards=2) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_gpu_oom_concurrent_pressure_failure(omni_server_function, openai_client_function) -> None: device_spec = resolve_oom_device_spec( OOM_INJECTION_CONFIG, _deploy_config_path_from_omni_server(omni_server_function), ) handle = inject_gpu_oom( device=device_spec, target_mem_ratio=OOM_INJECTION_CONFIG["target_mem_ratio"], hold_seconds=OOM_INJECTION_CONFIG["hold_seconds"], startup_timeout_sec=OOM_INJECTION_CONFIG["startup_timeout_sec"], strict=OOM_INJECTION_CONFIG["strict"], ) try: video_data_url = f"data:video/mp4;base64,{generate_synthetic_video(1280, 720, 161)['base64']}" image_data_url = f"data:image/jpeg;base64,{generate_synthetic_image(1280, 720)['base64']}" audio_data_url = f"data:audio/wav;base64,{generate_synthetic_audio(20, 1)['base64']}" messages = dummy_messages_from_mix_data( system_prompt=_get_system_prompt(), video_data_url=video_data_url, image_data_url=image_data_url, audio_data_url=audio_data_url, content_text=f"{_get_mix_prompt()} " * 200, ) request_config = { "model": omni_server_function.model, "messages": messages, "stream": True, "modalities": ["text", "audio"], "key_words": {"audio": ["test"]}, } try: openai_client_function.send_omni_request(request_config, request_num=4) except Exception as exc: assert_fault_exception(exc, FAULT_ERROR_KEYWORDS) else: pytest.fail("expected concurrent request failure under OOM injection") finally: stop_gpu_oom_hogs(handle) @pytest.mark.slow @pytest.mark.skipif(os.name == "nt", reason="process-kill injection helper is POSIX-only") @pytest.mark.parametrize( "fault_injector", WORKER_SIGNAL_FAULT_PARAMS, indirect=True, ) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_process_kill_request_failure( omni_server_after_fault_function, openai_client_function ) -> None: messages = dummy_messages_from_mix_data( system_prompt=_get_system_prompt(), content_text="What is the capital of China? Answer in 20 words.", ) request_config = { "model": omni_server_after_fault_function.model, "messages": messages, "stream": False, "modalities": ["text"], "key_words": {"text": ["beijing"]}, } try: openai_client_function.send_omni_request(request_config, request_num=1) except Exception as exc: assert_fault_exception(exc, PROCESS_KILL_ERROR_KEYWORDS) else: pytest.fail("expected request failure after process-kill injection") @pytest.mark.slow @pytest.mark.skipif(os.name == "nt", reason="process-kill injection helper is POSIX-only") @pytest.mark.parametrize( "fault_injector", WORKER_SIGNAL_FAULT_PARAMS, indirect=True, ) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_process_kill_health_fast_fail_and_concurrent( omni_server_after_fault_function, ) -> None: """Black-box: after worker process kill, chat fails fast, concurrent chat does not hang; /health→503 last. ``SIGTERM`` on a stage engine often exceeds a 15s client-visible path; ``SIGKILL`` is typically quicker. See module constants ``_PROCESS_KILL_WORKER_CHAT_FF_*``. """ host = omni_server_after_fault_function.host port = omni_server_after_fault_function.port model = omni_server_after_fault_function.model payload = { "model": model, "messages": [{"role": "user", "content": "Say hello in one short sentence."}], "stream": False, "modalities": ["text"], } ff_status: int | None = None ff_body = b"" start = time.monotonic() try: ff_status, ff_body = post_json_raw( host, port, "/v1/chat/completions", payload, timeout_sec=_PROCESS_KILL_WORKER_CHAT_FF_HTTP_TIMEOUT_SEC, ) elapsed = time.monotonic() - start assert elapsed <= _PROCESS_KILL_WORKER_CHAT_FF_MAX_ELAPSED_SEC + 1.0, ( f"[process_kill fast_fail] request did not fail fast after fault: {elapsed:.2f}s" ) assert ff_status >= 500, ( f"[process_kill fast_fail] expected server-side failure after fault, " f"got status={ff_status}, body={ff_body[:200]!r}" ) except Exception: elapsed = time.monotonic() - start assert elapsed <= _PROCESS_KILL_WORKER_CHAT_FF_MAX_ELAPSED_SEC + 1.0, ( f"[process_kill fast_fail] request exception was too slow after fault: {elapsed:.2f}s" ) payload_json = json.dumps( { "model": model, "messages": [{"role": "user", "content": "What is the capital of China? Answer in one word."}], "stream": False, "modalities": ["text"], } ) start = time.monotonic() with concurrent.futures.ThreadPoolExecutor(max_workers=4) as executor: futures = [ executor.submit( post_chat_completions_raw, host, port, payload_json, timeout_sec=20, ) for _ in range(4) ] done, pending = concurrent.futures.wait( futures, timeout=30, return_when=concurrent.futures.ALL_COMPLETED, ) elapsed = time.monotonic() - start assert not pending, f"[process_kill concurrent] some fault-time requests hung: pending={len(pending)}" assert elapsed < 30, f"[process_kill concurrent] fault-time request convergence is too slow: {elapsed:.2f}s" fault_observed = False for future in done: try: status, body = future.result() if status >= 500: fault_observed = True except Exception as exc: assert_fault_exception(exc, PROCESS_KILL_ERROR_KEYWORDS) fault_observed = True assert fault_observed, ( "[process_kill concurrent] expected at least one request to fail after process-kill fault injection" ) deadline = time.monotonic() + 20.0 last_observation = "" final_health_status: int | None = None while time.monotonic() < deadline: try: status, body = get_health_raw(host, port, timeout_sec=5) last_observation = f"http={status}, body={body[:200]!r}" final_health_status = status if status == 503: break except Exception as exc: # noqa: BLE001 last_observation = f"exception={exc!r}" time.sleep(0.5) if final_health_status != 503: pytest.skip("issue#3050") assert final_health_status == 503, ( "[process_kill health] expected /health 503 after fatal fault, " f"got status={final_health_status}, last_observation={last_observation}" ) @pytest.mark.slow @pytest.mark.skip(reason="issue#3683") @pytest.mark.skipif(os.name == "nt", reason="process-kill injection helper is POSIX-only") @pytest.mark.parametrize( "fault_injector", WORKER_SIGNAL_FAULT_PARAMS, indirect=True, ) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_process_kill_worker_with_load_request_failure( omni_server_function, openai_client_function, fault_injector: FaultInjector, ) -> None: request_config = _chat_request_config(omni_server_function) scenario = "kill_worker_with_load" load_result = run_fault_injection_with_rate_load( submit_request=lambda: openai_client_function.send_omni_request(request_config, request_num=1), inject_fault=lambda: fault_injector(omni_server_function), num_requests=INFLIGHT_INJECTION_REQUEST_COUNT, request_rate=INFLIGHT_INJECTION_REQUEST_RATE, completion_timeout_sec=120.0, ) assert load_result["failure_observed"], ( f"[{scenario}] expected at least one load request failure after fault; load_result={load_result}" ) host = omni_server_function.host port = omni_server_function.port _assert_post_fault_chat_fast_fail(host, port, model=omni_server_function.model, scenario=scenario) _assert_post_fault_health_terminal(host, port, scenario=scenario) @pytest.mark.slow @hardware_test(res={"cuda": "H100"}, num_cards=2) @pytest.mark.skipif(os.name == "nt", reason="process-kill injection helper is POSIX-only") @pytest.mark.parametrize("signal_name", SERVE_SIGNAL_PARAMS) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_process_kill_serve_root_no_load_fast_fail_and_cleanup( omni_server_function, signal_name: str, ) -> None: """Black-box: kill serve root without load; verify fast-fail/health/cleanup.""" scenario = f"kill_serve_root_no_load_{signal_name.lower()}" injector = make_server_root_kill_fault_injector(signal_name=signal_name, post_kill_wait_seconds=2.0) injector(omni_server_function) host = omni_server_function.host port = omni_server_function.port _assert_post_fault_chat_fast_fail(host, port, model=omni_server_function.model, scenario=scenario) _assert_post_fault_health_terminal(host, port, scenario=scenario) assert_no_server_tree_process_residual_and_gpu_release( omni_server_function, scenario=scenario, timeout_sec=worker_residual_timeout_after_kill_signal(signal_name), ) @pytest.mark.slow @hardware_test(res={"cuda": "H100"}, num_cards=2) @pytest.mark.skipif(os.name == "nt", reason="process-kill injection helper is POSIX-only") @pytest.mark.parametrize("signal_name", SERVE_WITH_LOAD_SIGNAL_PARAMS) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_process_kill_serve_root_with_load_fast_fail_and_cleanup( omni_server_function, openai_client_function, signal_name: str, ) -> None: request_config = _chat_request_config(omni_server_function) scenario = f"kill_serve_root_with_load_{signal_name.lower()}" injector = make_server_root_kill_fault_injector(signal_name=signal_name, post_kill_wait_seconds=2.0) load_result = run_fault_injection_with_rate_load( submit_request=lambda: openai_client_function.send_omni_request(request_config, request_num=1), inject_fault=lambda: injector(omni_server_function), num_requests=INFLIGHT_INJECTION_REQUEST_COUNT, request_rate=INFLIGHT_INJECTION_REQUEST_RATE, completion_timeout_sec=300.0, ) assert load_result["failure_observed"], ( f"[{scenario}] expected at least one load request failure after fault; load_result={load_result}" ) host = omni_server_function.host port = omni_server_function.port _assert_post_fault_chat_fast_fail(host, port, model=omni_server_function.model, scenario=scenario) _assert_post_fault_health_terminal(host, port, scenario=scenario) assert_no_server_tree_process_residual_and_gpu_release( omni_server_function, scenario=scenario, timeout_sec=worker_residual_timeout_after_kill_signal(signal_name), ) @pytest.mark.slow @pytest.mark.skipif(os.name == "nt", reason="process-kill injection helper is POSIX-only") @pytest.mark.parametrize("signal_name", TREE_SIGNAL_PARAMS) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_process_kill_tree_no_load_fast_fail_and_cleanup( omni_server_function, signal_name: str, ) -> None: """Black-box: kill server tree without load; verify fast-fail/health/cleanup.""" scenario = f"kill_serve_tree_no_load_{signal_name.lower()}" injector = make_server_tree_kill_fault_injector( signal_name=signal_name, post_kill_wait_seconds=2.0, inter_kill_wait_seconds=0.1, ) injector(omni_server_function) host = omni_server_function.host port = omni_server_function.port _assert_post_fault_chat_fast_fail(host, port, model=omni_server_function.model, scenario=scenario) _assert_post_fault_health_terminal(host, port, scenario=scenario) assert_no_server_tree_process_residual_and_gpu_release( omni_server_function, scenario=scenario, timeout_sec=worker_residual_timeout_after_kill_signal(signal_name), ) @pytest.mark.slow @pytest.mark.skipif(os.name == "nt", reason="process-kill injection helper is POSIX-only") @pytest.mark.parametrize("signal_name", TREE_WITH_LOAD_SIGNAL_PARAMS) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_process_kill_tree_with_load_fast_fail_and_cleanup( omni_server_function, openai_client_function, signal_name: str, ) -> None: request_config = _chat_request_config(omni_server_function) scenario = f"kill_serve_tree_with_load_{signal_name.lower()}" injector = make_server_tree_kill_fault_injector( signal_name=signal_name, post_kill_wait_seconds=2.0, inter_kill_wait_seconds=0.1, ) load_result = run_fault_injection_with_rate_load( submit_request=lambda: openai_client_function.send_omni_request(request_config, request_num=1), inject_fault=lambda: injector(omni_server_function), num_requests=INFLIGHT_INJECTION_REQUEST_COUNT, request_rate=INFLIGHT_INJECTION_REQUEST_RATE, completion_timeout_sec=120.0, ) assert load_result["failure_observed"], ( f"[{scenario}] expected at least one load request failure after fault; load_result={load_result}" ) host = omni_server_function.host port = omni_server_function.port _assert_post_fault_chat_fast_fail(host, port, model=omni_server_function.model, scenario=scenario) _assert_post_fault_health_terminal(host, port, scenario=scenario) assert_no_server_tree_process_residual_and_gpu_release( omni_server_function, scenario=scenario, timeout_sec=worker_residual_timeout_after_kill_signal(signal_name), ) @pytest.mark.slow @pytest.mark.skip( reason="needs request-scoped OOM recovery: under transient pressure the stage " "EngineCore still dies and is evicted (not respawned), so the engine does not " "recover after the hog stops. Out of scope for the #4285 fault-isolation fix." ) @hardware_test(res={"cuda": "H100"}, num_cards=2) @pytest.mark.parametrize("omni_server_function", QWEN_PARAMS, indirect=True) def test_reliability_fault_gpu_oom_state_converges_after_fault_removed( omni_server_function, ) -> None: """Black-box: under bounded GPU pressure, a heavy mix chat fails; after hog stops, the same request succeeds. Uses a milder sidecar than ``OOM_INJECTION_CONFIG`` (``strict=False`` and a capped ``target_mem_ratio``) so the serving process stays alive: pressure should starve the multimodal forward pass, not exhaust the whole device allocator. Fault and recovery phases use raw ``/v1/chat/completions`` HTTP so tests can assert on status codes and JSON error payloads (or fault keywords in streamed bodies). """ device_spec = resolve_oom_device_spec( OOM_RECOVER_INJECTION_CONFIG, _deploy_config_path_from_omni_server(omni_server_function), ) handle = inject_gpu_oom( device=device_spec, target_mem_ratio=OOM_RECOVER_INJECTION_CONFIG["target_mem_ratio"], hold_seconds=OOM_RECOVER_INJECTION_CONFIG["hold_seconds"], startup_timeout_sec=OOM_RECOVER_INJECTION_CONFIG["startup_timeout_sec"], strict=OOM_RECOVER_INJECTION_CONFIG["strict"], ) host = omni_server_function.host port = omni_server_function.port mix_payload = _mix_chat_completions_probe_payload(omni_server_function) mix_chat_timeout_sec = 180 print( "[oom-recover] injection ready " f"device={device_spec} target_mem_ratio={OOM_RECOVER_INJECTION_CONFIG['target_mem_ratio']} " f"strict={OOM_RECOVER_INJECTION_CONFIG['strict']} hold_seconds={OOM_RECOVER_INJECTION_CONFIG['hold_seconds']}" ) print(f"[oom-recover] target endpoint http://{host}:{port}/v1/chat/completions") failure_observed = False fault_status: int | None = None fault_body = b"" try: try: print(f"[oom-recover] fault-phase request start timeout={mix_chat_timeout_sec}s") fault_status, fault_body = post_json_raw( host, port, "/v1/chat/completions", mix_payload, timeout_sec=mix_chat_timeout_sec, ) print(f"[oom-recover] fault-phase request done status={fault_status} body_prefix={fault_body[:200]!r}") except Exception as exc: failure_observed = True print(f"[oom-recover] fault-phase request raised {type(exc).__name__}: {exc!r}") assert_fault_exception(exc, FAULT_ERROR_KEYWORDS) else: assert fault_status is not None failure_observed = fault_status != 200 or _fault_keywords_match_response( status=fault_status, body=fault_body, ) assert failure_observed, ( "expected mix multimodal request failure while OOM pressure is active; " f"status={fault_status}, body_prefix={fault_body[:500]!r}" ) if fault_status >= 400: err = extract_openai_error_contract_from_bytes(fault_body) if err is None: assert _fault_keywords_match_response(status=fault_status, body=fault_body), ( "non-2xx without OpenAI-style error object should still mention fault hints in body; " f"status={fault_status}, body_prefix={fault_body[:500]!r}" ) else: assert isinstance(err.get("message"), str) and err["message"].strip(), ( f"structured error should carry a non-empty message: {err!r}" ) else: assert _fault_keywords_match_response(status=fault_status, body=fault_body), ( "HTTP 200 under pressure should still surface fault hints in the response body; " f"body_prefix={fault_body[:500]!r}" ) finally: print("[oom-recover] stopping OOM sidecar(s)") stop_gpu_oom_hogs(handle) print("[oom-recover] OOM sidecar(s) stopped") recovery_deadline = time.monotonic() + 90.0 terminal_health: int | None = None unreachable_streak = 0 last_health_exc: BaseException | None = None while time.monotonic() < recovery_deadline: try: status, _ = get_health_raw(host, port, timeout_sec=5) unreachable_streak = 0 if status in (200, 503): terminal_health = status print(f"[oom-recover] terminal health reached status={terminal_health}") break except Exception as exc: last_health_exc = exc if _looks_like_server_unreachable(exc): unreachable_streak += 1 if unreachable_streak >= 5: pytest.fail( "after OOM sidecar stopped, /health is unreachable (connection refused / reset). " "The APIServer process likely exited (e.g. orchestrator thread crash under OOM); " "this test expects the server to stay up for post-fault health polling. " f"last_exc={last_health_exc!r}" ) else: unreachable_streak = 0 time.sleep(1.0) else: pytest.fail( "server did not converge to a terminal health state after OOM pressure was removed; " f"last_health_exc={last_health_exc!r}" ) probe_payload = { "model": omni_server_function.model, "messages": [{"role": "user", "content": "What is the capital of China? Answer in one word."}], "stream": False, "modalities": ["text"], } start = time.monotonic() post_mix_status: int | None = None post_mix_body = b"" request_status: int | None = None try: assert terminal_health is not None if terminal_health == 200: print(f"[oom-recover] recovery-phase mix request start timeout={mix_chat_timeout_sec}s") post_mix_status, post_mix_body = post_json_raw( host, port, "/v1/chat/completions", mix_payload, timeout_sec=mix_chat_timeout_sec, ) print( "[oom-recover] recovery-phase mix request done " f"status={post_mix_status} body_prefix={post_mix_body[:200]!r}" ) else: print("[oom-recover] terminal health=503, send lightweight probe request") request_status, _ = post_json_raw(host, port, "/v1/chat/completions", probe_payload, timeout_sec=20) print(f"[oom-recover] lightweight probe done status={request_status}") except Exception: post_mix_status = None request_status = None elapsed = time.monotonic() - start assert elapsed < 200, f"post-fault request should not hang after OOM removal: {elapsed:.2f}s" if terminal_health == 200: assert post_mix_status == 200, ( "health recovered but repeated mix multimodal request did not return HTTP 200; " f"status={post_mix_status}, body_prefix={post_mix_body[:600]!r}" ) recover_err = extract_openai_error_contract_from_bytes(post_mix_body) assert recover_err is None, f"unexpected error object after recovery: {recover_err!r}" else: assert request_status is None or request_status >= 500, ( "unhealthy terminal state should fail fast on requests, " f"got health={terminal_health}, request_status={request_status}" )