From bb027bee22fd3ba76a060675ffc7e7a762493d30 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Wed, 7 Oct 2026 20:29:18 +0200 Subject: [PATCH 01/16] [#174] Context Window is opt-in, --context-window auto for using max_position_embedding And warning, when configured --context-window is larger than max_position_embeddings. --- src/cli/groups/add.py | 48 ++- src/cli/groups/load.py | 6 + src/cli/groups/serve.py | 30 ++ src/server/model_registry.py | 38 +- src/server/routes/openai.py | 9 +- src/server/routes/openarc.py | 8 +- src/server/schemas/registration.py | 24 +- src/server/utils/context.py | 217 +++++------ tests/unit/test_context_discovery_unit.py | 358 ++++++++---------- .../unit/test_context_window_warning_unit.py | 160 ++++++++ tests/unit/test_model_registry_unit.py | 247 ++++++------ .../test_openai_models_list_context_unit.py | 202 +++++----- .../test_ov_genai_scheduler_config_unit.py | 2 +- 13 files changed, 794 insertions(+), 555 deletions(-) create mode 100644 tests/unit/test_context_window_warning_unit.py diff --git a/src/cli/groups/add.py b/src/cli/groups/add.py index b3f8d4d8..6dd5859f 100644 --- a/src/cli/groups/add.py +++ b/src/cli/groups/add.py @@ -3,6 +3,7 @@ """ import json from pathlib import Path +from typing import NoReturn import click @@ -21,6 +22,42 @@ from ..utils import validate_model_path +class ContextWindowType(click.ParamType): + """``--context-window`` accepts a positive integer (tokens) or ``auto``. + + Opt-in: when omitted the load config carries no ``context_window``. ``auto`` + reads the model's real max_position_embeddings; a plain integer is advertised + as-is (and warned if it exceeds that real limit). + """ + + name = "context_window" + + MSG = "must be a positive integer (tokens) or 'auto'" + + def convert(self, value, param, ctx): + # Raise UsageError directly (not self.fail): ParamType.fail's signature + # changed between click 8.2 and 8.4, UsageError(message) has not. + def _fail(extra: str = "") -> NoReturn: + raise click.UsageError(f"`{value}` {self.MSG} {extra}".strip()) + + if value is None: + return None + if isinstance(value, bool): + _fail() + if isinstance(value, str): + token = value.strip() + if token.lower() == "auto": + return "auto" + try: + tokens = int(token) + except ValueError: + _fail() + if tokens <= 0: + _fail(f"(was {tokens})") + return tokens + _fail() + + @cli.command() @click.option('--model-name', '--mn', required=True, @@ -74,10 +111,16 @@ default=None, help='Tool-call output format for this model (qwen35 XML, hermes JSON, gemma4 call syntax, or museglimmer Harmony atem). llm/vlm only; required for tool calling.') @click.option('--context-window', '--cw', - type=int, + type=ContextWindowType(), required=False, default=None, - help='Context window (tokens) for this model, advertised in the /v1/models response so clients can size their conversation (e.g. for auto-compaction). When omitted the value is discovered from the model\'s config.json (first present of max_position_embeddings / n_positions / seq_len / seq_length / n_ctx / sliding_window).') + help="Opt-in context window (tokens) advertised for this model in the /v1/models response " + "(as the OpenAI-standard context_window field and as meta.n_ctx) so clients can size their " + "conversation (e.g. for auto-compaction). Omit to leave it unset (nothing is advertised). " + "Use 'auto' to advertise the model's own max_position_embeddings, read from config.json, " + "or a positive integer to advertise that value as-is. The context window should not be " + "larger than the model's max_position_embeddings value, as this can cause undesired runtime " + "behavior.") @config_options @click.pass_context def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, cache_dir, draft_model_path, draft_device, num_assistant_tokens, assistant_confidence_threshold, tool_call_parser, context_window, **config_values): @@ -191,6 +234,7 @@ def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, "num_assistant_tokens", "assistant_confidence_threshold", "tool_call_parser", + "context_window", ] # One help panel per config.yaml key, keyed by the command path rich_click diff --git a/src/cli/groups/load.py b/src/cli/groups/load.py index f2016e78..fb1e38cb 100644 --- a/src/cli/groups/load.py +++ b/src/cli/groups/load.py @@ -66,6 +66,12 @@ def load(ctx, model_names): if response.status_code == 200: console.print(f"[green]{name} loaded![/green]\n") successful_loads.append(name) + # If the server detected that this model's context_window is pinned + # larger than its real max_position_embeddings it relays a loud + # warning so the operator who just ran `openarc load` sees it too. + warning = response.json().get("warning") + if warning: + console.print(f"[red bold]{warning}[/red bold]\n") else: console.print(f"[red]error: {response.status_code}[/red]") console.print(f"[red]Response:[/red] {response.text}\n") diff --git a/src/cli/groups/serve.py b/src/cli/groups/serve.py index 30e62ef8..553356d7 100644 --- a/src/cli/groups/serve.py +++ b/src/cli/groups/serve.py @@ -5,6 +5,8 @@ import click +from src.server.utils.context import check_context_window_exceeded + from ..main import cli, console @@ -16,6 +18,24 @@ def serve(): pass +def _startup_context_window_warning(server_config, name: str): + """Mirror the server-side check up-front so a pinned context_window larger + than the real max_position_embeddings is warned about in the foreground. + Advertisement-only; returns None (unset / "auto" / a config that can't be + resolved) when there is nothing to warn about.""" + try: + load_config = server_config.get_model_load_config(name) + except Exception: + return None + if load_config is None: + return None + return check_context_window_exceeded( + load_config.model_name, + load_config.model_path, + load_config.context_window, + ) + + @serve.command("start") @click.option("--host", type=str, default="0.0.0.0", show_default=True, help=""" @@ -72,6 +92,16 @@ def start(ctx, host, port, load_models, use_api_key, verbose, startup_models): os.environ["OPENARC_STARTUP_MODELS"] = ",".join(models_to_load) console.print(f"[blue]Models to load on startup:[/blue] {', '.join(models_to_load)}\n") + # Warn up-front (foreground) for startup models that pin an over-large + # context_window; register_load logs the same warning on the server side. + # Models missing from the config are already flagged above and skipped. + for name in models_to_load: + if name in missing: + continue + warning = _startup_context_window_warning(ctx.obj.server_config, name) + if warning: + console.print(f"[red bold]{warning}[/red bold]\n") + if use_api_key: if not os.getenv("OPENARC_API_KEY"): console.print("[red]Error: You chose to require an API key but OPENARC_API_KEY has not been set.[/red]") diff --git a/src/server/model_registry.py b/src/server/model_registry.py index eee4a47b..fe8b0ffc 100644 --- a/src/server/model_registry.py +++ b/src/server/model_registry.py @@ -16,7 +16,10 @@ ModelType, ToolCallParser, ) -from src.server.utils.context import resolve_context_window +from src.server.utils.context import ( + check_context_window_exceeded, + resolve_context_window, +) logger = logging.getLogger(__name__) @@ -39,6 +42,10 @@ class ModelRecord: runtime_config: Dict[str, Any] = field(default_factory=dict) tool_call_parser: Optional[ToolCallParser] = None context_window: Optional[int] = None + # Set when a pinned context_window exceeds the real max_position_embeddings. + # Kept out of registered_models() so it never reaches /v1/models; the load + # endpoint relays it to the CLI as a loud warning. + context_window_warning: Optional[str] = None # Model-level request defaults surfaced from config.yaml. Stored as plain # dicts (already validated by ModelLoadConfig) and used to seed per-request @@ -113,13 +120,24 @@ async def register_load(self, loader: ModelLoadConfig) -> str: # anything is loaded, so a mismatched config.yaml fails fast. loader.validate_config_blocks() - # Resolve the effective context window. An explicit value on the load config - # (e.g. `openarc add --context-window`, or the `context_window` key in - # config.yaml) wins; otherwise it is discovered from the model's config.json. + # Opt-in advertisement: None stays None (nothing read); "auto" discovers + # max_position_embeddings; a positive int is advertised as-is. context_window = await asyncio.to_thread( resolve_context_window, loader.model_path, loader.context_window ) + # A pinned int above the real max_position_embeddings advertises a window + # the model can't use: log it loudly and stash it for the load endpoint to + # relay to the CLI. None/ "auto" and an unknown real limit never warn. + context_window_warning = await asyncio.to_thread( + check_context_window_exceeded, + loader.model_name, + loader.model_path, + loader.context_window, + ) + if context_window_warning: + logger.warning("Model '%s':\n%s", loader.model_name, context_window_warning) + # Create a model record with LOADING status record = ModelRecord( model_path=loader.model_path, @@ -130,6 +148,7 @@ async def register_load(self, loader: ModelLoadConfig) -> str: runtime_config=loader.runtime_config, tool_call_parser=loader.tool_call_parser, context_window=context_window, + context_window_warning=context_window_warning, model_config_blocks=dict(loader.model_config_blocks or {}), status=ModelStatus.LOADING, ) @@ -279,6 +298,17 @@ async def status(self) -> dict: "openai_model_names": [record.model_name for record in self._models.values()], } + def get_context_window_warning(self, model_name: str) -> Optional[str]: + """The over-sized-context warning stashed on a model's record, or None. + + None for an unset context_window, for "auto", or if the model is gone. + Consulted by POST /openarc/load so the CLI can print it. + """ + for record in self._models.values(): + if record.model_name == model_name: + return record.context_window_warning + return None + async def readiness(self) -> dict: """Return readiness: ready only when every expected model is loaded. diff --git a/src/server/routes/openai.py b/src/server/routes/openai.py index b2e1c7c5..c9a51f40 100644 --- a/src/server/routes/openai.py +++ b/src/server/routes/openai.py @@ -155,11 +155,10 @@ async def openai_list_models(): "owned_by": "OpenArc", } - # Propagate the model's context window so OpenAI-compatible - # clients can size their conversation (e.g. for auto-compaction). - # `context_window` is the OpenAI-standard field; but some clients - # read the non-standard `meta.n_ctx` (llama.cpp / Ollama convention) - # from /v1/models, so both are emitted from the same resolved value. + # Opt-in: the record only carries a value when the operator set + # load_config.context_window, so nothing is advertised unless it was. + # context_window (OpenAI-standard) and meta.n_ctx (llama.cpp/Ollama) + # are emitted from the same resolved value. if isinstance(context_window, int) and context_window > 0: item["context_window"] = context_window item["meta"] = {"n_ctx": context_window} diff --git a/src/server/routes/openarc.py b/src/server/routes/openarc.py index d31d3b47..550cfd04 100644 --- a/src/server/routes/openarc.py +++ b/src/server/routes/openarc.py @@ -158,11 +158,17 @@ def get_gpu_info(): async def load_model(load_config: ModelLoadConfig): try: model_id = await _registry.register_load(load_config) - return { + result = { "model_id": model_id, "model_name": load_config.model_name, "status": "loaded", } + # Relay an over-sized context_window warning to the CLI (registered only + # when the operator pinned a value above the real max_position_embeddings). + warning = _registry.get_context_window_warning(load_config.model_name) + if warning: + result["warning"] = warning + return result except ValueError as exc: raise HTTPException(status_code=400, detail=str(exc)) except Exception as exc: diff --git a/src/server/schemas/registration.py b/src/server/schemas/registration.py index 7247b033..09d97839 100644 --- a/src/server/schemas/registration.py +++ b/src/server/schemas/registration.py @@ -1,6 +1,6 @@ from enum import Enum -from typing import Any, Dict, Optional +from typing import Any, Dict, Optional, Union from pydantic import BaseModel, ConfigDict, Field @@ -142,20 +142,18 @@ class ModelLoadConfig(BaseModel): When unset, /chat/completions requests containing tools are rejected with 400.""", ) - context_window: Optional[int] = Field( + context_window: Optional[Union[int, str]] = Field( default=None, description=""" - Context window (in tokens), advertised in ``/v1/models`` (as the - OpenAI-standard ``context_window`` field and as ``meta.n_ctx`` so - agent clients can display and use it for things like auto-compaction. - - When set to a positive integer it overrides automatic discovery and is - used as-is. When None (or <= 0) the value is discovered from the model's - config.json -- searched at the top level first, and (because multimodal - models nest their language config under ``text_config`` / ``language_config`` - / ``llm_config`` / ...) then inside those nested per-modality sections -- - using the first present key of - max_position_embeddings / n_positions / seq_len / seq_length / n_ctx / sliding_window. + Opt-in context window (in tokens) advertised in /v1/models -- as the + OpenAI-standard ``context_window`` field and as ``meta.n_ctx``. + + When unset (the default) nothing is advertised. Values: + - a positive integer: advertised as-is; if it exceeds the model's real + max_position_embeddings the load warns loudly. + - ``"auto"``: advertise the model's own max_position_embeddings read from + its config.json (the only key read -- it is found at the top level or, + for multimodal models, inside text_config / language_config / ...). """, ) diff --git a/src/server/utils/context.py b/src/server/utils/context.py index e80c66e2..fed0c371 100644 --- a/src/server/utils/context.py +++ b/src/server/utils/context.py @@ -1,68 +1,33 @@ -"""Resolve a model's context-window length. - -The resolved context window is used to advertise the model's size to clients: -it is reported in the ``GET /v1/models`` response (see -:mod:`src.server.routes.openai`, under both the OpenAI-standard ``context_window`` -field and llama.cpp styled ``meta.n_ctx``) so that clients can size -their conversation and, e.g. trigger auto-compaction before the window is exceeded. - -The canonical value is *discovered* from the model's own ``config.json`` -(shipped next to the OpenVINO IR in ``model_path``). Different model exports -name the overall context window differently, so for each candidate key in -:data:`CONTEXT_FIELD_PRIORITY` (first present key wins) we look at the top level -of ``config.json`` **and**, when that key is not there, descend into the -per-modality sub-configs:: - - config.json - +- (flat top-level keys : plain LLMs / GGUFs / legacy HF) - +- a nested section (text_config / language_config / llm_config / ...) - +- max_position_embeddings / n_positions / ... (the real window) - +- other nested sections (vision_config / audio_config / ...) - -This nesting matters: multimodal (``*ForConditionalGeneration``) models -- -Qwen2-VL / Qwen2.5-VL / Qwen3-VL / Qwen3.5 / Gemma3 / Mistral-Small, ... -- do -**not** put ``max_position_embeddings`` at the top level of ``config.json``; it -is nested inside ``text_config`` (or ``language_config``). A flat top-level-only -scan therefore finds nothing and leaves the window un-advertised (absent from -``/v1/models``). -Flat configs (plain LLMs) still resolve from the top level exactly as before. - -Candidate keys, highest priority first: - -- ``max_position_embeddings`` : the HuggingFace standard key -- ``n_positions`` / ``seq_len`` / ``seq_length`` : llama.cpp / legacy HF forms -- ``n_ctx`` : llama.cpp server / GGUF field -- ``sliding_window`` : last resort (may be far smaller than the - true window for hybrid / sparse-attention - models), hence checked last +"""Resolve an (optional) model context window for advertisement in /v1/models. + +Advertisement is opt-in via ``load_config.context_window``. Accepted values: +- unset (``None``): nothing is read, nothing is advertised. +- ``"auto"``: read the model's ``max_position_embeddings`` from ``config.json``. +- a positive integer: advertised as-is. + +Only ``max_position_embeddings`` is read from ``config.json`` -- other names, +which some exporters use for the same concept are not consulted. Multimodal +models nest it under their per-modality sections (text_config / etc.), so the +search also descends into those named sections. + +A pinned integer larger than the model's real ``max_position_embeddings`` is +flagged by :func:`check_context_window_exceeded`; the load path warns loudly. """ import json import logging from pathlib import Path -from typing import List, Optional +from typing import Optional logger = logging.getLogger(__name__) -# Keys that may hold a model's overall context length. The first key that is -# present (with a positive integer value) wins, in this order. -CONTEXT_FIELD_PRIORITY: List[str] = [ - "max_position_embeddings", - "n_positions", - "seq_len", - "seq_length", - "n_ctx", - "sliding_window", -] +# The single key read from config.json; the one canonical name for the window. +CONTEXT_FIELD = "max_position_embeddings" -# When a config.json nests its per-modality configs (typical of multimodal / -# "*ForConditionalGeneration" models), the real window lives inside one of -# these top-level sections rather than at the top level. They are searched, in -# this order, before we fall back to a generic scan of any nested dictionary, -# so a model's *language* config wins over, say, a vision/audio config that could -# also contain a `sliding_window`-style key. -CONTEXT_SECTION_PRIORITY: List[str] = [ +# Multimodal ("*ForConditionalGeneration") models nest max_position_embeddings +# under one of these top-level sections instead of at the top level. +CONTEXT_SECTION_PRIORITY: list[str] = [ "text_config", "language_config", "language_model", @@ -70,81 +35,71 @@ "text_model", ] -# Depth cap for the recursive section scan. Real model configs are at most a -# level or two deep, so a small bound avoids both a stack blow-up and ever -# wandering into some unrelated, deeply-nested subtree of a config.json. +# Cap the recursive section scan (real configs are at most a level or two deep). _CONTEXT_SEARCH_DEPTH: int = 6 def _coerce_positive_int(value: object) -> Optional[int]: - """Return ``value`` as a positive ``int`, else ``None``. - - ``None``, booleans, non-numbers, and non-positive numbers do not count - as a usable window size, so they are rejected (``None`` is returned and - the caller should try the next candidate key). - """ + """Coerce a value to a positive int, else None (incl. the "auto" string).""" if value is None or isinstance(value, bool): return None if isinstance(value, int): return value if value > 0 else None if isinstance(value, float): return int(value) if value > 0 else None + if isinstance(value, str): + text = value.strip() + if not text: + return None + try: + parsed: Optional[float] = int(text) + except ValueError: + try: + parsed = float(text) + except ValueError: + return None + return int(parsed) if parsed > 0 else None return None +def is_auto(value: object) -> bool: + """True for the special ``"auto"`` value (case-insensitive).""" + return isinstance(value, str) and value.strip().lower() == "auto" + + def _find_context_key( config: object, key: str, depth: int = _CONTEXT_SEARCH_DEPTH ) -> Optional[int]: - """Return the first *positive* value stored at ``key`` anywhere in ``config``. - - The current (dictionary) level is consulted first, so a flat top-level value - still takes precedence over a nested one. When the key is absent here we - descend into the nested per-modality sub-configs -- named language/text - sections (see :data:`CONTEXT_SECTION_PRIORITY`) before any other nested - dictionary -- so a model that nests e.g. ``max_position_embeddings`` inside - ``text_config`` is still discovered. Returns ``None`` when no usable value is - found at or below this level. - """ + """Find a positive value at ``key``: top level first, then named sections, + then any other nested dict (so a VLM's text_config is still reached).""" if not isinstance(config, dict): return None in_scope = _coerce_positive_int(config.get(key)) if in_scope is not None: return in_scope - if depth <= 0: return None - # 1) named language/text sections first (the model's real context lives there - # for multimodal configs); they win over any other nested dictionary. for section_name in CONTEXT_SECTION_PRIORITY: if isinstance(config.get(section_name), dict): hit = _find_context_key(config[section_name], key, depth - 1) if hit is not None: return hit - # 2) fallback: any other (un-named) nested dictionary, in file order. handled = set(CONTEXT_SECTION_PRIORITY) for name, value in config.items(): if name not in handled and isinstance(value, dict): hit = _find_context_key(value, key, depth - 1) if hit is not None: return hit - return None def read_context_window_from_config(model_path: str) -> Optional[int]: - """Return the context-window length declared in ``model_path/config.json``. - - Walks :data:`CONTEXT_FIELD_PRIORITY` and returns the value of the first key - holding a positive integer. Each key is looked up at the top level of - ``config.json`` first, then -- for multimodal models that nest their - per-modality configs -- inside the nested sections of - :data:`CONTEXT_SECTION_PRIORITY` (see :func:`_find_context_key`). Returns - ``None`` when ``config.json`` is missing, unreadable, malformed, or holds no - usable key at the top level or in any nested section. This function never - raises. + """The model's ``max_position_embeddings`` from ``config.json``, or None. + + Never raises (missing / unreadable / malformed config just yields None). """ try: path = Path(model_path) @@ -166,41 +121,61 @@ def read_context_window_from_config(model_path: str) -> Optional[int]: if not isinstance(config, dict): return None - # Top level first (flat LLMs / GGUFs / legacy HF); fall through to the - # nested per-modality sub-configs when a key is not at the top level - # (multimodal models -- Qwen*VL / Qwen3.5 / Gemma3 / ... -- nest it under - # ``text_config``). A nested higher-priority key therefore still wins over - # a top-level lower-priority one, matching the "first present wins" rule. - for key in CONTEXT_FIELD_PRIORITY: - candidate = _find_context_key(config, key) - if candidate is not None: - return candidate - - logger.debug( - "context discovery: no context key in %s (looked for %s at the top level and in " - "nested sections %s)", - config_path, - ", ".join(CONTEXT_FIELD_PRIORITY), - ", ".join(CONTEXT_SECTION_PRIORITY), - ) + found = _find_context_key(config, CONTEXT_FIELD) + if found is not None: + return found + logger.debug("context discovery: no %s in %s", CONTEXT_FIELD, config_path) return None - except Exception as exc: # defensive: discovery must never break model loading + except Exception as exc: # defensive: discovery must never break loading logger.debug("context discovery failed for %s (%s)", model_path, exc) return None -def resolve_context_window(model_path: str, explicit: Optional[int] = None) -> Optional[int]: - """Resolve the effective context-window length for a model. - - An explicit positive ``context_window`` (taken from the load config, e.g. - via ``openarc add --context-window`` or ``/openarc/load``) takes precedence - and is returned as-is. Otherwise the value is derived from the model's - ``config.json`` using :func:`read_context_window_from_config`. - - The returned value is used for advertising in ``/v1/models`` (see the module docstring). +def resolve_context_window( + model_path: str, explicit: object = None +) -> Optional[int]: + """The context window to advertise, per the opt-in rules (see module docstring).""" + if explicit is None: + return None + if is_auto(explicit): + return read_context_window_from_config(model_path) + return _coerce_positive_int(explicit) + + +def format_context_window_warning( + model_name: str, configured: int, model_max: int +) -> str: + """A loud WARN block: ``configured`` (pinned) exceeds the real ``model_max``.""" + over_by = configured - model_max + return "\n".join([ + "", + "!!! WARNING: configured context_window exceeds the model's real context !!!", + "---------------------------------------------------------------------------------", + f" Model '{model_name}' is configured with context_window={configured} tokens,", + f" but its config.json declares max_position_embeddings={model_max} tokens.", + f" {over_by} tokens (about {configured / model_max:.1f}x) LARGER than the model supports.", + " OpenArc still advertises the larger context_window in /v1/models, so", + " clients may send prompts the model refuses or truncates.", + " Lower context_window to <= its real limit, or set it to 'auto'.", + "---------------------------------------------------------------------------------", + ]) + + +def check_context_window_exceeded( + model_name: str, model_path: str, explicit: object +) -> Optional[str]: + """Warn (return a message) when a *pinned* context_window is larger than the + model's real max_position_embeddings; else None. + + Never warns for unset (None) or "auto"; and when config.json has no + max_position_embeddings there is nothing real to compare, so it stays None. """ - if explicit is not None: - resolved = _coerce_positive_int(explicit) - if resolved is not None: - return resolved - return read_context_window_from_config(model_path) + if explicit is None or is_auto(explicit): + return None + configured = _coerce_positive_int(explicit) + if not configured or configured <= 0: + return None + model_max = read_context_window_from_config(model_path) + if model_max is None or configured <= model_max: + return None + return format_context_window_warning(model_name, configured, model_max) diff --git a/tests/unit/test_context_discovery_unit.py b/tests/unit/test_context_discovery_unit.py index 362e4318..82cf23eb 100644 --- a/tests/unit/test_context_discovery_unit.py +++ b/tests/unit/test_context_discovery_unit.py @@ -1,110 +1,111 @@ -"""Unit tests for context-window discovery (pure stdlib, no heavy deps). +"""Unit tests for the opt-in context-window advertisement (pure stdlib). -These exercise the field-priority resolution -(max_position_embeddings / n_positions / seq_len / seq_length / n_ctx / -sliding_window) and the explicit-override precedence used to propagate a model's -context window through /v1/models. +Exercises the three new rules: +- only ``max_position_embeddings`` is read from ``config.json`` (the other names + some exporters use for the same concept are ignored); +- advertisement is opt-in (unset -> nothing; ``"auto"`` -> discover; int -> as-is); +- a *pinned* value above the model's real limit yields a loud warning. """ import json -import pytest # type: ignore[import] - from src.server.utils.context import ( - CONTEXT_FIELD_PRIORITY, + CONTEXT_FIELD, + _coerce_positive_int, + check_context_window_exceeded, + format_context_window_warning, + is_auto, read_context_window_from_config, resolve_context_window, ) def _write_config(directory, payload) -> str: - """Write ``payload`` as ``config.json`` inside ``directory`` and return its path.""" + """Write ``payload`` as ``config.json`` inside ``directory``; return its path.""" (directory / "config.json").write_text(json.dumps(payload), encoding="utf-8") return str(directory) -def _all_keys_config() -> dict: - return { - "max_position_embeddings": 128000, - "n_positions": 40960, - "seq_len": 8192, - "seq_length": 16384, - "n_ctx": 32768, - "sliding_window": 512, - } - - -def test_priority_list_matches_spec(tmp_path) -> None: - assert CONTEXT_FIELD_PRIORITY == [ - "max_position_embeddings", - "n_positions", - "seq_len", - "seq_length", - "n_ctx", - "sliding_window", - ] - - -def test_first_present_key_wins(tmp_path) -> None: - # max_position_embeddings is present, so it wins regardless of the (smaller) - # values in the later-priority keys. - path = _write_config(tmp_path, _all_keys_config()) - assert read_context_window_from_config(path) == 128000 - +def _dir_without_config(directory) -> str: + (directory / "tokenizer_config.json").write_text("{}", encoding="utf-8") + return str(directory) -def test_n_ctx_used_when_earlier_keys_absent(tmp_path) -> None: - path = _write_config(tmp_path, {"n_ctx": 4096, "model_type": "llm"}) - assert read_context_window_from_config(path) == 4096 +# --- only max_position_embeddings is read ------------------------------ -def test_sliding_window_is_last_resort(tmp_path) -> None: - # Only a later-priority key present -> it is used. - path = _write_config(tmp_path, {"architectures": ["X"], "sliding_window": 512}) - assert read_context_window_from_config(path) == 512 +def test_only_max_position_embeddings_key(tmp_path) -> None: + assert CONTEXT_FIELD == "max_position_embeddings" -def test_earlier_key_precedes_sliding_window(tmp_path) -> None: - # n_ctx appears before sliding_window in the priority list. - path = _write_config(tmp_path, {"sliding_window": 512, "n_ctx": 4096}) - assert read_context_window_from_config(path) == 4096 +def test_ignores_other_names(tmp_path) -> None: + # n_positions / seq_len / seq_length / n_ctx / sliding_window are no longer read. + path = _write_config( + tmp_path, + { + "n_positions": 40960, + "seq_len": 8192, + "seq_length": 16384, + "n_ctx": 32768, + "sliding_window": 512, + }, + ) + assert read_context_window_from_config(path) is None + assert resolve_context_window(path, "auto") is None -def test_present_but_null_falls_through_to_next(tmp_path) -> None: - path = _write_config(tmp_path, {"max_position_embeddings": None, "n_ctx": 4096}) - assert read_context_window_from_config(path) == 4096 +def test_reads_flat_max_position_embeddings(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 128000}) + assert read_context_window_from_config(path) == 128000 -def test_present_but_zero_is_skipped(tmp_path) -> None: - path = _write_config(tmp_path, {"max_position_embeddings": 0, "n_ctx": 4096}) - assert read_context_window_from_config(path) == 4096 +def test_zero_or_null_max_ignored(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 0, "text_config": {}}) + assert read_context_window_from_config(path) is None -def test_all_keys_zero_returns_none(tmp_path) -> None: - path = _write_config(tmp_path, {k: 0 for k in CONTEXT_FIELD_PRIORITY}) - assert read_context_window_from_config(path) is None +def test_nested_text_config_discovered(tmp_path) -> None: + # Multimodal models nest max_position_embeddings under text_config; the + # top-level sliding_window is a decoy that is simply never read. + path = _write_config( + tmp_path, + { + "model_type": "qwen2_5_vl", + "sliding_window": 512, + "text_config": {"max_position_embeddings": 131072}, + "vision_config": {"model_type": "qwen2_5_vl"}, + }, + ) + assert read_context_window_from_config(path) == 131072 -def test_bool_value_is_not_a_window_size(tmp_path) -> None: - # A lone boolean must not be mistaken for an integer window size. - path = _write_config(tmp_path, {"max_position_embeddings": True}) - assert read_context_window_from_config(path) is None +def test_named_section_prefers_language_over_arbitrary(tmp_path) -> None: + # text_config wins over an arbitrary nested dict, regardless of file order. + path = _write_config( + tmp_path, + { + "something": {"max_position_embeddings": 111}, + "text_config": {"max_position_embeddings": 888}, + }, + ) + assert read_context_window_from_config(path) == 888 -def test_bool_key_falls_through_to_next(tmp_path) -> None: - path = _write_config(tmp_path, {"max_position_embeddings": True, "n_ctx": 8192}) - assert read_context_window_from_config(path) == 8192 +def test_deeply_nested_section_reached(tmp_path) -> None: + path = _write_config(tmp_path, {"model": {"text_config": {"max_position_embeddings": 5555}}}) + assert read_context_window_from_config(path) == 5555 -def test_float_value_is_coerced_to_int(tmp_path) -> None: - path = _write_config(tmp_path, {"max_position_embeddings": 128000.0}) - result = read_context_window_from_config(path) - assert result == 128000 - assert isinstance(result, int) +def test_file_model_path_uses_parent_dir(tmp_path) -> None: + model_dir = tmp_path / "model" + model_dir.mkdir() + _write_config(model_dir, {"max_position_embeddings": 9999}) + (model_dir / "transformer_model.json").write_text("{}", encoding="utf-8") + got = read_context_window_from_config(str(model_dir / "transformer_model.json")) + assert got == 9999 def test_missing_config_returns_none(tmp_path) -> None: - (tmp_path / "tokenizer_config.json").write_text("{}", encoding="utf-8") - assert read_context_window_from_config(str(tmp_path)) is None + assert read_context_window_from_config(_dir_without_config(tmp_path)) is None def test_malformed_json_returns_none(tmp_path) -> None: @@ -117,158 +118,115 @@ def test_non_dict_json_returns_none(tmp_path) -> None: assert read_context_window_from_config(str(tmp_path)) is None -def test_file_model_path_uses_parent_dir(tmp_path) -> None: - # When model_path points at a file (not a dir), config.json is looked up in - # the containing directory, matching how a tokenizer/model file ships. - model_dir = tmp_path / "model" - model_dir.mkdir() - _write_config(model_dir, {"n_ctx": 9999}) - (model_dir / "transformer_model.json").write_text("{}", encoding="utf-8") - assert read_context_window_from_config(str(model_dir / "transformer_model.json")) == 9999 +def test_float_is_truncated(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 128000.0}) + result = read_context_window_from_config(path) + assert result == 128000 + assert isinstance(result, int) -def test_explicit_override_wins_over_derivation(tmp_path) -> None: - path = _write_config(tmp_path, {"n_ctx": 40960}) - assert resolve_context_window(path, explicit=99999) == 99999 +# --- opt-in resolution ------------------------------------------------ +def test_unset_is_opt_out(tmp_path) -> None: + # Unset -> nothing is read or advertised (config.json is not even touched). + path = _write_config(tmp_path, {"max_position_embeddings": 131072}) + assert resolve_context_window(path, None) is None -def test_explicit_zero_falls_through_to_derivation(tmp_path) -> None: - path = _write_config(tmp_path, {"n_ctx": 40960}) - assert resolve_context_window(path, explicit=0) == 40960 +def test_auto_discovers(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 32768}) + assert resolve_context_window(path, "auto") == 32768 + assert resolve_context_window(path, "AUTO") == 32768 + assert resolve_context_window(path, " auto ") == 32768 -def test_explicit_negative_falls_through_to_derivation(tmp_path) -> None: - path = _write_config(tmp_path, {"n_ctx": 40960}) - assert resolve_context_window(path, explicit=-5) == 40960 +def test_auto_with_no_config_returns_none(tmp_path) -> None: + assert resolve_context_window(_dir_without_config(tmp_path), "auto") is None -def test_explicit_none_falls_through_to_derivation(tmp_path) -> None: - path = _write_config(tmp_path, {"n_ctx": 40960}) - assert resolve_context_window(path, explicit=None) == 40960 +def test_explicit_int_used_as_is(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 40960}) + assert resolve_context_window(path, 5000) == 5000 + assert resolve_context_window(path, 8192) == 8192 -# --- nested per-modality sections (multimodal / VLM configs) ----------------- -# -# A flat, top-level-only scan is the bug this fix closes: Qwen2-VL / Qwen2.5-VL -# / Qwen3-VL / Qwen3.5 / Gemma3 / Mistral-Small nest max_position_embeddings -# inside text_config / language_config instead of at the top level. +def test_non_positive_explicit_is_none(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 40960}) + assert resolve_context_window(path, 0) is None + assert resolve_context_window(path, -5) is None -def test_nested_text_config_discovered(tmp_path) -> None: - # The realistic Qwen2.5-VL shape: the window lives under `text_config`, - # while the (decoy) top level / vision_config carry nothing usable. - path = _write_config( - tmp_path, - { - "architectures": ["Qwen2_5_VLForConditionalGeneration"], - "model_type": "qwen2_5_vl", - "text_config": { - "model_type": "qwen2_5_vl_text", - "architectures": ["Qwen2_5_VLForCausalLM"], - "max_position_embeddings": 32768, - "hidden_size": 4096, - }, - "vision_config": { - "model_type": "qwen2_5_vl", - "architectures": ["Qwen2_5_VisionTransformer"], - }, - }, - ) - assert read_context_window_from_config(path) == 32768 +def test_garbage_string_is_none(tmp_path) -> None: + # An unparseable, non-"auto" string advertises nothing (opt-in stays off). + path = _write_config(tmp_path, {"max_position_embeddings": 40960}) + assert resolve_context_window(path, "garbage") is None -def test_nested_section_beats_top_level_lower_priority(tmp_path) -> None: - # The exact "wrong section" trap: a lower-priority key at the TOP level - # (sliding_window) would win for a flat scan, but the higher-priority key - # nested in text_config (max_position_embeddings) must win instead. - path = _write_config( - tmp_path, - { - "architectures": ["Qwen3_5ForConditionalGeneration"], - "model_type": "qwen3_5", - "sliding_window": 512, # top-level, lower priority - "text_config": { - "model_type": "qwen3_5_text", - "architectures": ["Qwen3_5ForCausalLM"], - "max_position_embeddings": 32768, - }, - }, - ) - assert read_context_window_from_config(path) == 32768 +def test_numeric_string_is_coerced(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 40960}) + assert resolve_context_window(path, "32768") == 32768 -def test_language_config_section_fallback(tmp_path) -> None: - # Some families (Gemma3 / Mistral-Small 3.2) nest under `language_config`. - path = _write_config( - tmp_path, - { - "model_type": "gemma3", - "language_config": {"max_position_embeddings": 131072}, - "vision_config": {"sliding_window": 512}, - }, - ) - assert read_context_window_from_config(path) == 131072 +# --- coercion + auto helpers ------------------------------------------ -def test_named_section_preferred_over_arbitrary_nested(tmp_path) -> None: - # With multiple nested dicts carrying the key, the named language section - # wins over an arbitrary nested section -- deterministic regardless of the - # order the keys happen to appear in the file. - path = _write_config( - tmp_path, - { - "something": {"max_position_embeddings": 111}, # arbitrary, appears first - "text_config": {"max_position_embeddings": 888}, # named, must win - }, - ) - assert read_context_window_from_config(path) == 888 +def test_coerce_positive_int() -> None: + assert _coerce_positive_int(10) == 10 + assert _coerce_positive_int(0) is None + assert _coerce_positive_int(-1) is None + assert _coerce_positive_int(None) is None + assert _coerce_positive_int(True) is None # a lone bool is not a window size + assert _coerce_positive_int(12.9) == 12 # floats are truncated + assert _coerce_positive_int("32768") == 32768 + assert _coerce_positive_int("auto") is None + assert _coerce_positive_int(" 16 384 ") is None -def test_priority_within_nested_section_still_applies(tmp_path) -> None: - # Inside a section the field priority still holds: max_position_embeddings is - # absent, so the section's n_ctx is used (not a spurious value elsewhere). - path = _write_config( - tmp_path, - { - "model_type": "gemma3", - "language_config": {"n_ctx": 8192}, - "vision_config": {"sliding_window": 512}, - }, - ) - assert read_context_window_from_config(path) == 8192 +def test_is_auto() -> None: + assert is_auto("auto") is True + assert is_auto("AUTO") is True + assert is_auto(" auto ") is True + assert is_auto("autoish") is False + assert is_auto(42) is False + assert is_auto(None) is False -def test_deeply_nested_section_reached_by_fallback(tmp_path) -> None: - # A section nested one level deeper than the named list is still reached by the - # generic recursive fallback (so the window is never lost to extra nesting). - path = _write_config( - tmp_path, - { - "model": {"text_config": {"max_position_embeddings": 5555}}, - }, - ) - assert read_context_window_from_config(path) == 5555 +# --- loud warning for an over-large pin ------------------------------- +def test_warns_when_pinned_above_real(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 32768}) + msg = check_context_window_exceeded("model", path, 131072) + assert msg is not None + assert "131072" in msg and "32768" in msg + assert msg.strip().startswith("!!!") -def test_explicit_override_wins_over_nested_discovery(tmp_path) -> None: - # An explicit value still short-circuits discovery, even when the discovered - # value lives in a nested section. - path = _write_config( - tmp_path, - {"text_config": {"max_position_embeddings": 131072}}, - ) - assert resolve_context_window(path, explicit=5000) == 5000 +def test_no_warn_when_pinned_at_or_below(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 32768}) + assert check_context_window_exceeded("model", path, 32768) is None # equal + assert check_context_window_exceeded("model", path, 16000) is None # below -def test_nested_section_no_keys_returns_none(tmp_path) -> None: - # A multimodal config where neither the top level nor any nested section - # carries any of the candidate keys -> None (nothing advertised / enforced). - path = _write_config( - tmp_path, - { - "model_type": "qwen3_5", - "text_config": {"hidden_size": 4096, "num_attention_heads": 32}, - "vision_config": {"initializer_range": 0.02}, - }, - ) - assert read_context_window_from_config(path) is None + +def test_no_warn_when_unset_or_auto(tmp_path) -> None: + path = _write_config(tmp_path, {"max_position_embeddings": 32768}) + assert check_context_window_exceeded("model", path, None) is None + assert check_context_window_exceeded("model", path, "auto") is None + + +def test_no_warn_when_real_limit_unknown(tmp_path) -> None: + # Pinned value but no max_position_embeddings to compare against -> no + # warning (an honest "unknown", not a false positive). + path = _write_config(tmp_path, {"n_ctx": 4096}) + assert check_context_window_exceeded("model", path, 131072) is None + + +def test_numeric_string_pin_still_warns(tmp_path) -> None: + # A pin that arrives as a string (e.g. quoted in config.yaml) still warns. + path = _write_config(tmp_path, {"max_position_embeddings": 32768}) + assert check_context_window_exceeded("model", path, "131072") is not None + + +def test_format_contains_model_and_ratio() -> None: + msg = format_context_window_warning("qwen-demo", 131072, 32768) + assert "qwen-demo" in msg + assert "131072" in msg and "32768" in msg + assert "4.0x" in msg diff --git a/tests/unit/test_context_window_warning_unit.py b/tests/unit/test_context_window_warning_unit.py new file mode 100644 index 00000000..31591766 --- /dev/null +++ b/tests/unit/test_context_window_warning_unit.py @@ -0,0 +1,160 @@ +"""End-to-end coverage of the loud context-window warning the operator sees. + +The same over-sized-pin check (src.server.utils.context.check_context_window_ +exceeded) surfaces in three places; each is exercised here: + +- the ``openarc add --context-window`` value must parse ``auto`` / an int + (ContextWindowType) and be written to config.yaml; +- ``openarc serve`` pre-flights each startup model (``_startup_context_window_ + warning``) using the real ServerConfig -> ModelLoadConfig path; +- ``openarc load`` relays it back from ``POST /openarc/load`` to the CLI. +""" + +import asyncio +import json +from pathlib import Path + +import pytest # type: ignore[import] +import yaml + +from src.cli.groups.add import ContextWindowType +from src.cli.groups.serve import _startup_context_window_warning +from src.cli.modules.server_config import ServerConfig +import src.server.routes.openarc as openarc_module +from src.server.schemas.registration import ( + EngineType, + ModelLoadConfig, + ModelType, +) + + +def _make_model_dir(parent: Path, name: str, max_position_embeddings: int) -> str: + d = parent / name + d.mkdir(parents=True) + (d / "config.json").write_text( + json.dumps({"max_position_embeddings": max_position_embeddings}), + encoding="utf-8", + ) + return str(d) + + +# --- the --context-window ValueParser (openarc add) ---------------------- + +def test_context_window_type_parses_auto() -> None: + assert ContextWindowType().convert("auto", None, None) == "auto" + assert ContextWindowType().convert("AUTO", None, None) == "auto" + + +def test_context_window_type_parses_int() -> None: + assert ContextWindowType().convert("32768", None, None) == 32768 + + +def test_context_window_type_rejects_non_positive_and_garbage() -> None: + for bad in ("0", "-5", "abc"): + with pytest.raises(Exception): + ContextWindowType().convert(bad, None, None) + + +# --- openarc serve pre-flight, through the real ServerConfig ------------- + +def _write_config(config_dir: Path, models: dict) -> Path: + config_path = config_dir / "config.yaml" + payload = { + "server": {"host": "localhost", "port": 8000}, + "models": models, + } + config_path.write_text( + yaml.safe_dump(payload, sort_keys=False, default_flow_style=False), + encoding="utf-8", + ) + return config_path + + +def test_serve_preflight_warns_for_overlarge_pin(tmp_path: Path) -> None: + # All three models share a real 32768-token limit in config.json. + d_over = _make_model_dir(tmp_path / "models", "over", 32768) + d_auto = _make_model_dir(tmp_path / "models", "auto", 32768) + d_unset = _make_model_dir(tmp_path / "models", "unset", 32768) + + def base(model_path: str, extra: dict) -> dict: + return { + "model_name": "x", + "model_path": model_path, + "model_type": "llm", + "engine": "ovgenai", + "device": "CPU", + **extra, + } + + models = { + "over": {"load_config": base(d_over, {"context_window": 131072})}, + "auto": {"load_config": base(d_auto, {"context_window": "auto"})}, + "unset": {"load_config": base(d_unset, {})}, # no context_window key + } + config_path = _write_config(tmp_path, models) + server_config = ServerConfig(config_file=config_path) + + warning = _startup_context_window_warning(server_config, "over") + assert warning is not None + assert "131072" in warning and "32768" in warning + + # "auto" and an unset value never warn. + assert _startup_context_window_warning(server_config, "auto") is None + assert _startup_context_window_warning(server_config, "unset") is None + + +# --- openarc load relays the warning back to the CLI --------------------- + +class _RelayRegistry: + """Minimal stand-in for ModelRegistry exercising only what /openarc/load + uses: register_load (returns an id) and get_context_window_warning (relay).""" + + def __init__(self, warning: str | None) -> None: + self._warning = warning + + async def register_load(self, load_config: ModelLoadConfig) -> str: + return "model-id" + + def get_context_window_warning(self, model_name: str) -> str | None: + return self._warning + + +def _load_config(name: str, model_path: str, context_window: int | str | None = None): + kwargs = dict( + model_path=model_path, + model_name=name, + model_type=ModelType.LLM, + engine=EngineType.OV_GENAI, + device="CPU", + runtime_config={}, + ) + if context_window is not None: + kwargs["context_window"] = context_window + return ModelLoadConfig(**kwargs) + + +def test_openarc_load_relays_warning(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None: + warning = "!!! WARNING: configured context_window exceeds the model's real context !!!" + reg = _RelayRegistry(warning) + monkeypatch.setattr(openarc_module, "_registry", reg) + + async def _run(): + return await openarc_module.load_model(_load_config("over", str(tmp_path))) + + response = asyncio.run(_run()) + assert response["warning"] == warning + assert response["status"] == "loaded" + + +def test_openarc_load_omits_key_without_warning( + monkeypatch: pytest.MonkeyPatch, tmp_path: Path +) -> None: + reg = _RelayRegistry(None) + monkeypatch.setattr(openarc_module, "_registry", reg) + + async def _run(): + return await openarc_module.load_model(_load_config("ok", str(tmp_path))) + + response = asyncio.run(_run()) + assert "warning" not in response + assert response["status"] == "loaded" diff --git a/tests/unit/test_model_registry_unit.py b/tests/unit/test_model_registry_unit.py index 9095772f..61341d94 100644 --- a/tests/unit/test_model_registry_unit.py +++ b/tests/unit/test_model_registry_unit.py @@ -1,5 +1,6 @@ import asyncio import json +import logging from pathlib import Path from types import SimpleNamespace @@ -142,69 +143,58 @@ def test_model_class_registry_includes_qwen3_asr() -> None: assert registry_module.MODEL_CLASS_REGISTRY[key] == "src.engine.openvino.qwen3_asr.qwen3_asr.OVQwen3ASR" -# --- context-window discovery threaded into the registry -------------------- +# --- opt-in context-window advertisement threaded into the registry --------- +# +# Advertisement is opt-in: register_load only resolves a context window when the +# operator set load_config.context_window; an unset value stays None (nothing is +# even read from config.json). A pinned value above the real max_position_ +# embeddings is still advertised as-is, and stashed as a loud warning that the +# load endpoint relays to the CLI (and the server logs). -def _write_model_dir(tmp_path: Path, name: str, payload: dict) -> str: - """Create a fake model directory (with a config.json) and return its path.""" + +def _write_model_dir(tmp_path: Path, name: str, payload: dict | None) -> str: + """Create a fake model directory; only writes config.json when ``payload`` is set.""" model_dir = tmp_path / name model_dir.mkdir(parents=True) - (model_dir / "config.json").write_text(json.dumps(payload), encoding="utf-8") + if payload is not None: + (model_dir / "config.json").write_text(json.dumps(payload), encoding="utf-8") return str(model_dir) -def test_register_load_derives_context_window_from_config_json( - monkeypatch: pytest.MonkeyPatch, tmp_path: Path -) -> None: - """With no explicit value, the window is discovered from config.json (first present key).""" - model_path = _write_model_dir( - tmp_path, "ctx-model", {"n_ctx": 8192, "max_position_embeddings": 40960} - ) - load_config = ModelLoadConfig( +def _load_config( + name: str, model_path: str, context_window: int | str | None = None +) -> ModelLoadConfig: + kwargs = dict( model_path=model_path, - model_name="ctx-model", + model_name=name, model_type=ModelType.LLM, engine=EngineType.OV_GENAI, device="CPU", runtime_config={}, ) - registry = ModelRegistry() - - async def _noop_unload(*_args, **_kwargs): - return None - - async def fake_create(config): # type: ignore[override] - return SimpleNamespace(unload_model=_noop_unload) + if context_window is not None: + kwargs["context_window"] = context_window + return ModelLoadConfig(**kwargs) - monkeypatch.setattr(registry_module, "create_model_instance", fake_create) - async def _run(): - await registry.register_load(load_config) - return await registry.status() +def _register( + monkeypatch: pytest.MonkeyPatch, + registry: ModelRegistry, + load_config: ModelLoadConfig, + captured: dict | None = None, +) -> dict: + """Register a load config with a faked factory; return the registry status. - status = asyncio.run(_run()) - assert status["models"][0]["context_window"] == 40960 - - -def test_register_load_explicit_context_window_overrides_derivation( - monkeypatch: pytest.MonkeyPatch, tmp_path: Path -) -> None: - """An explicit positive context_window on the load config wins over config.json.""" - model_path = _write_model_dir(tmp_path, "ctx-override", {"n_ctx": 40960}) - load_config = ModelLoadConfig( - model_path=model_path, - model_name="ctx-override", - model_type=ModelType.LLM, - engine=EngineType.OV_GENAI, - device="CPU", - runtime_config={}, - context_window=20480, - ) - registry = ModelRegistry() + When ``captured`` is given it receives the loader the engine actually gets, + proving the resolved window is advertised-only (never stamped onto it). + """ async def _noop_unload(*_args, **_kwargs): return None async def fake_create(config): # type: ignore[override] + if captured is not None: + captured["config"] = config return SimpleNamespace(unload_model=_noop_unload) monkeypatch.setattr(registry_module, "create_model_instance", fake_create) @@ -213,111 +203,126 @@ async def _run(): await registry.register_load(load_config) return await registry.status() - status = asyncio.run(_run()) - assert status["models"][0]["context_window"] == 20480 + return asyncio.run(_run()) -def test_register_load_context_window_none_without_config_json( +def test_register_load_unset_stays_none( monkeypatch: pytest.MonkeyPatch, tmp_path: Path ) -> None: - """No config.json and no explicit value -> None (clients fall back to defaults).""" - model_dir = tmp_path / "no-config" - model_dir.mkdir() - load_config = ModelLoadConfig( - model_path=str(model_dir), - model_name="no-config", - model_type=ModelType.LLM, - engine=EngineType.OV_GENAI, - device="CPU", - runtime_config={}, - ) - registry = ModelRegistry() - - async def _noop_unload(*_args, **_kwargs): - return None - - async def fake_create(config): # type: ignore[override] - return SimpleNamespace(unload_model=_noop_unload) + # Opt-out: even with a window in config.json, an unset opt-in leaves the + # advertised value None -- nothing is read or advertised. + model_path = _write_model_dir(tmp_path, "m", {"max_position_embeddings": 131072}) + status = _register(monkeypatch, ModelRegistry(), _load_config("m", model_path)) + assert status["models"][0]["context_window"] is None - monkeypatch.setattr(registry_module, "create_model_instance", fake_create) - async def _run(): - await registry.register_load(load_config) - return await registry.status() - - status = asyncio.run(_run()) - assert status["models"][0]["context_window"] is None +def test_register_load_explicit_int_advertised( + monkeypatch: pytest.MonkeyPatch, tmp_path: Path +) -> None: + # An explicit int is advertised as-is, not the config.json value. + model_path = _write_model_dir(tmp_path, "m", {"max_position_embeddings": 40960}) + status = _register(monkeypatch, ModelRegistry(), _load_config("m", model_path, 20480)) + assert status["models"][0]["context_window"] == 20480 -def test_registered_models_exposes_context_window_key() -> None: - """The public view always carries the key (None when unknown).""" - record = ModelRecord( - model_name="m", - model_type=ModelType.LLM, - engine=EngineType.OV_GENAI, - device="CPU", - context_window=1234, - ) - assert record.registered_models()["context_window"] == 1234 - assert ModelRecord().registered_models()["context_window"] is None +def test_register_load_auto_discovers_flat( + monkeypatch: pytest.MonkeyPatch, tmp_path: Path +) -> None: + # "auto" discovers the flat top-level max_position_embeddings. + model_path = _write_model_dir(tmp_path, "m", {"max_position_embeddings": 40960}) + status = _register(monkeypatch, ModelRegistry(), _load_config("m", model_path, "auto")) + assert status["models"][0]["context_window"] == 40960 -def test_register_load_discovers_nested_text_config_window( +def test_register_load_auto_discovers_nested_text_config( monkeypatch: pytest.MonkeyPatch, tmp_path: Path ) -> None: - """The reported symptom: the window is nested under ``text_config`` (the - realistic VLM / multimodal shape), so a flat top-level scan would yield - nothing. Discovery must still find it and advertise it on the registered - record; The context window is advertisement-only. - The top-level ``sliding_window`` here is a decoy for the old flat-scan bug: - the higher-priority nested ``max_position_embeddings`` must win instead. - """ + # The VLM symptom: the window is nested under text_config (with a decoy + # top-level sliding_window). "auto" discovers it, and the engine-facing loader + # is left untouched (the resolved value is advertised-only, never stamped on). model_path = _write_model_dir( tmp_path, - "ctx-nested", + "m", { - "architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", - "sliding_window": 512, # top-level decoy (lower priority) - "text_config": { - "model_type": "qwen2_5_vl_text", - "max_position_embeddings": 131072, - }, + "sliding_window": 512, + "text_config": {"max_position_embeddings": 131072}, "vision_config": {"model_type": "qwen2_5_vl"}, }, ) - load_config = ModelLoadConfig( - model_path=model_path, - model_name="ctx-nested", + captured: dict = {} + load_config = _load_config("m", model_path, "auto") + registry = ModelRegistry() + status = _register(monkeypatch, registry, load_config, captured) + assert status["models"][0]["model_name"] == "m" + assert status["models"][0]["context_window"] == 131072 + # The engine receives the original, un-stamped ("auto") loader. + assert captured["config"] is load_config + assert captured["config"].context_window == "auto" + + +def test_registered_models_view_only_advertised_value_not_warning() -> None: + # The public view carries context_window (the advertised value) but never the + # internal warning, so the warning can't leak to /v1/models. + record = ModelRecord( + model_name="m", model_type=ModelType.LLM, engine=EngineType.OV_GENAI, device="CPU", - runtime_config={}, + context_window=1234, + context_window_warning="some warning", ) - registry = ModelRegistry() + view = record.registered_models() + assert view["context_window"] == 1234 + assert "context_window_warning" not in view + # An opt-out (default) record advertises nothing and carries no warning. + assert ModelRecord().registered_models()["context_window"] is None - seen = {"config": None} - async def _noop_unload(*_args, **_kwargs): - return None +# --- a pinned value above the real limit warns loudly --------------------- - async def fake_create(config): # capture the loader the engine receives - seen["config"] = config - return SimpleNamespace(unload_model=_noop_unload) +def test_register_load_pinned_over_warns_and_still_advertises( + monkeypatch: pytest.MonkeyPatch, tmp_path: Path, caplog: pytest.LogCaptureFixture +) -> None: + model_path = _write_model_dir(tmp_path, "over", {"max_position_embeddings": 32768}) + registry = ModelRegistry() + with caplog.at_level(logging.WARNING, logger=registry_module.logger.name): + status = _register(monkeypatch, registry, _load_config("over", model_path, 131072)) - monkeypatch.setattr(registry_module, "create_model_instance", fake_create) + # The over-large value is what is advertised (the warning is about it)... + assert status["models"][0]["context_window"] == 131072 + # ... stashed on the record for the load endpoint / CLI to relay... + warning = registry.get_context_window_warning("over") + assert warning is not None + assert "131072" in warning and "32768" in warning + # ... and logged loudly server-side (the "display" on `openarc serve`). + assert any( + "exceeds the model's real context" in log.getMessage() for log in caplog.records + ) - async def _run(): - await registry.register_load(load_config) - return await registry.status() - status = asyncio.run(_run()) +def test_register_load_pinned_at_limit_no_warn( + monkeypatch: pytest.MonkeyPatch, tmp_path: Path +) -> None: + model_path = _write_model_dir(tmp_path, "ok", {"max_position_embeddings": 32768}) + registry = ModelRegistry() + _register(monkeypatch, registry, _load_config("ok", model_path, 32768)) + assert registry.get_context_window_warning("ok") is None - # The discovered window is advertised on the registered record ... - assert status["models"][0]["model_name"] == "ctx-nested" - assert status["models"][0]["context_window"] == 131072 - # ... but advertisement only: the loader the engine actually receives is the - # original, unchanged object -- the resolved window is *not* stamped onto it. - assert seen["config"] is load_config - assert seen["config"].model_name == "ctx-nested" - assert seen["config"].context_window is None + +def test_register_load_auto_and_unset_never_warn( + monkeypatch: pytest.MonkeyPatch, tmp_path: Path +) -> None: + registry = ModelRegistry() + # "auto" resolves *to* the real limit, so it can never exceed it. + auto_path = _write_model_dir(tmp_path, "auto", {"max_position_embeddings": 32768}) + _register(monkeypatch, registry, _load_config("auto", auto_path, "auto")) + assert registry.get_context_window_warning("auto") is None + # Unset advertises nothing, so there is nothing to warn about either. + unset_path = _write_model_dir(tmp_path, "unset", {"max_position_embeddings": 32768}) + _register(monkeypatch, registry, _load_config("unset", unset_path)) + assert registry.get_context_window_warning("unset") is None + + +def test_get_context_window_warning_unknown_model_returns_none() -> None: + assert ModelRegistry().get_context_window_warning("does-not-exist") is None diff --git a/tests/unit/test_openai_models_list_context_unit.py b/tests/unit/test_openai_models_list_context_unit.py index fc9c6e6b..45d60f15 100644 --- a/tests/unit/test_openai_models_list_context_unit.py +++ b/tests/unit/test_openai_models_list_context_unit.py @@ -1,16 +1,18 @@ -"""Unit tests for the /v1/models context-window propagation. +"""Unit tests for the /v1/models context-window advertisement. -These exercise the actual ``openai_list_models`` handler end to end: a model is +Exercises the actual ``openai_list_models`` handler end to end: a model is registered in a real ``ModelRegistry`` (with a fake factory, so no heavy engine -is loaded), then the OpenAI-compatible ``/v1/models`` response is built. The -assertions confirm the two fields that OpenArc propagates to chat clients: +is loaded), then the OpenAI-compatible ``/v1/models`` response is built. -* ``context_window`` -- the OpenAI-standard field clients read to size - context / auto-compaction, and -* ``meta.n_ctx`` -- the non-standard field some clients read from /v1/models. +Advertisement is opt-in, so these pin the resulting behavior: -When neither can be resolved (no config.json, no explicit value) the response -must omit both so clients fall back to their own defaults. +* ``context_window`` unset -> nothing is advertised (the opt-out default), so the + entry has no ``context_window`` / ``meta`` keys at all -- no default is even + read from config.json. +* ``context_window: "auto"`` -> the model's ``max_position_embeddings`` is + advertised (in ``context_window`` and ``meta.n_ctx``); the decoy keys other + exporters use are not. +* a positive integer -> that exact value is advertised (used as-is). """ import asyncio @@ -31,7 +33,11 @@ def _write_model_dir(tmp_path: Path, name: str, payload: dict | None) -> str: - """Create a fake model directory; only writes config.json when ``payload`` is set.""" + """Create a fake model directory; only writes config.json when ``payload`` is set. + + Also drops the _model.bin/_model.xml the model-path check expects, so a + later real load is not what we are testing here (the factory is faked). + """ model_dir = tmp_path / name model_dir.mkdir(parents=True) if payload is not None: @@ -39,7 +45,9 @@ def _write_model_dir(tmp_path: Path, name: str, payload: dict | None) -> str: return str(model_dir) -def _load_config(name: str, model_path: str, context_window: int | None = None) -> ModelLoadConfig: +def _load_config( + name: str, model_path: str, context_window: int | str | None = None +) -> ModelLoadConfig: kwargs = dict( model_path=model_path, model_name=name, @@ -53,7 +61,11 @@ def _load_config(name: str, model_path: str, context_window: int | None = None) return ModelLoadConfig(**kwargs) -def _register(monkeypatch: pytest.MonkeyPatch, registry: ModelRegistry, load_config: ModelLoadConfig): +def _register( + monkeypatch: pytest.MonkeyPatch, + registry: ModelRegistry, + load_config: ModelLoadConfig, +) -> None: async def _noop_unload(*_args, **_kwargs): return None @@ -68,122 +80,138 @@ async def _run(): asyncio.run(_run()) -def test_list_models_emits_context_window_and_meta_ncx( - monkeypatch: pytest.MonkeyPatch, tmp_path: Path -) -> None: - # max_position_embeddings precedes n_ctx in the priority list, so it wins. - model_path = _write_model_dir( - tmp_path, "ctx-model", {"max_position_embeddings": 131072, "n_ctx": 32768} - ) - registry = ModelRegistry() - _register(monkeypatch, registry, _load_config("ctx-model", model_path)) +def _list(monkeypatch: pytest.MonkeyPatch, registry: ModelRegistry) -> list: monkeypatch.setattr(openai_module, "_registry", registry) async def _run(): return await openai_module.openai_list_models() response = asyncio.run(_run()) + return {entry["id"]: entry for entry in response["data"]} - assert response["object"] == "list" - entry = response["data"][0] - assert entry["id"] == "ctx-model" - assert entry["object"] == "model" - assert entry["owned_by"] == "OpenArc" - # Both the standard field and the non-standard meta.n_ctx are emitted from one value. - assert entry["context_window"] == 131072 - assert entry["meta"] == {"n_ctx": 131072} +# --- opt-out: the default advertises nothing --------------------------- -def test_list_models_omits_context_fields_when_unknown( +def test_unset_advertises_nothing( monkeypatch: pytest.MonkeyPatch, tmp_path: Path ) -> None: - # No config.json, no explicit value -> context_window is None -> omit both. - model_path = _write_model_dir(tmp_path, "no-ctx", None) + # config.json *does* carry a window, but nothing is advertised because the + # operator never opted in -- a default must not be read or advertised. + model_path = _write_model_dir(tmp_path, "unset", {"max_position_embeddings": 131072}) registry = ModelRegistry() - _register(monkeypatch, registry, _load_config("no-ctx", model_path)) - monkeypatch.setattr(openai_module, "_registry", registry) - - async def _run(): - return await openai_module.openai_list_models() + _register(monkeypatch, registry, _load_config("unset", model_path)) - response = asyncio.run(_run()) - entry = response["data"][0] - assert entry["id"] == "no-ctx" + entry = _list(monkeypatch, registry)["unset"] + assert entry["object"] == "model" + assert entry["owned_by"] == "OpenArc" assert "context_window" not in entry assert "meta" not in entry -def test_list_models_explicit_override_flows_through( +def test_auto_with_no_config_advertises_nothing( monkeypatch: pytest.MonkeyPatch, tmp_path: Path ) -> None: - # An explicit value must be what the response advertises (and what meta.n_ctx mirrors). - model_path = _write_model_dir(tmp_path, "override", {"max_position_embeddings": 9999}) + # "auto" but config.json has no max_position_embeddings -> still nothing. + model_path = _write_model_dir(tmp_path, "auto-none", None) registry = ModelRegistry() - _register(monkeypatch, registry, _load_config("override", model_path, context_window=5000)) - monkeypatch.setattr(openai_module, "_registry", registry) + _register(monkeypatch, registry, _load_config("auto-none", model_path, "auto")) - async def _run(): - return await openai_module.openai_list_models() + entry = _list(monkeypatch, registry)["auto-none"] + assert "context_window" not in entry + assert "meta" not in entry - response = asyncio.run(_run()) - entry = response["data"][0] - assert entry["context_window"] == 5000 - assert entry["meta"] == {"n_ctx": 5000} +# --- opt-in via "auto": advertises only max_position_embeddings -------- -def test_list_models_mixed_models( +def test_auto_advertises_max_position_embeddings( monkeypatch: pytest.MonkeyPatch, tmp_path: Path ) -> None: - known = _write_model_dir(tmp_path, "known", {"seq_len": 6000}) - unknown = _write_model_dir(tmp_path, "unknown", None) + # max_position_embeddings wins; the decoy n_ctx/sliding_window are ignored. + model_path = _write_model_dir( + tmp_path, + "auto", + { + "max_position_embeddings": 131072, + "n_ctx": 32768, + "sliding_window": 512, + }, + ) registry = ModelRegistry() - _register(monkeypatch, registry, _load_config("known", known)) - _register(monkeypatch, registry, _load_config("unknown", unknown)) - monkeypatch.setattr(openai_module, "_registry", registry) + _register(monkeypatch, registry, _load_config("auto", model_path, "auto")) - async def _run(): - return await openai_module.openai_list_models() - - response = asyncio.run(_run()) - entries = {e["id"]: e for e in response["data"]} - - assert entries["known"]["context_window"] == 6000 - assert entries["known"]["meta"] == {"n_ctx": 6000} - assert "context_window" not in entries["unknown"] - assert "meta" not in entries["unknown"] + entry = _list(monkeypatch, registry)["auto"] + assert entry["context_window"] == 131072 + assert entry["meta"] == {"n_ctx": 131072} -def test_list_models_discovers_nested_text_config( +def test_auto_discovers_nested_text_config( monkeypatch: pytest.MonkeyPatch, tmp_path: Path ) -> None: - # The reported symptom, end to end: a multimodal / VLM config.json nests the - # window under ``text_config`` (and carries a decoy top-level sliding_window). - # A flat top-level scan would advertise nothing; the section-aware scan must - # surface the real window in BOTH fields clients read. + # The reported symptom: a multimodal config nests the window under text_config + # with a decoy top-level sliding_window. "auto" surfaces the real window in + # both fields clients read. model_path = _write_model_dir( tmp_path, "qwen25vl", { - "architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", - "sliding_window": 512, # top-level decoy (lower priority) - "text_config": { - "model_type": "qwen2_5_vl_text", - "max_position_embeddings": 32768, - }, + "sliding_window": 512, + "text_config": {"max_position_embeddings": 32768}, "vision_config": {"model_type": "qwen2_5_vl"}, }, ) registry = ModelRegistry() - _register(monkeypatch, registry, _load_config("qwen25vl", model_path)) - monkeypatch.setattr(openai_module, "_registry", registry) - - async def _run(): - return await openai_module.openai_list_models() + _register(monkeypatch, registry, _load_config("qwen25vl", model_path, "auto")) - response = asyncio.run(_run()) - entry = response["data"][0] - assert entry["id"] == "qwen25vl" - # Both advertised fields surface the nested (text_config) value, not the decoy. + entry = _list(monkeypatch, registry)["qwen25vl"] assert entry["context_window"] == 32768 assert entry["meta"] == {"n_ctx": 32768} + + +# --- opt-in via an explicit integer: advertised as-is ------------------ + +def test_explicit_int_advertised_as_is( + monkeypatch: pytest.MonkeyPatch, tmp_path: Path +) -> None: + # A pinned integer is advertised verbatim -- not the config.json value. + model_path = _write_model_dir(tmp_path, "pinned", {"max_position_embeddings": 9999}) + registry = ModelRegistry() + _register(monkeypatch, registry, _load_config("pinned", model_path, 5000)) + + entry = _list(monkeypatch, registry)["pinned"] + assert entry["context_window"] == 5000 + assert entry["meta"] == {"n_ctx": 5000} + + +# --- the advertised value is what is warned about ---------------------- + +def test_explicit_over_advertises_the_larger_value( + monkeypatch: pytest.MonkeyPatch, tmp_path: Path +) -> None: + # A pin above the real limit is what gets advertised (the warning, logged + # server-side, is about this advertised value); the real limit is not emitted. + model_path = _write_model_dir(tmp_path, "over", {"max_position_embeddings": 32768}) + registry = ModelRegistry() + _register(monkeypatch, registry, _load_config("over", model_path, 131072)) + + entry = _list(monkeypatch, registry)["over"] + assert entry["context_window"] == 131072 + assert entry["meta"] == {"n_ctx": 131072} + + +def test_mixed_models( + monkeypatch: pytest.MonkeyPatch, tmp_path: Path +) -> None: + # One model opts in via "auto"; another leaves it unset. Only the opted-in + # one carries the fields. + opted_in = _write_model_dir(tmp_path, "on", {"max_position_embeddings": 131072}) + opted_out = _write_model_dir(tmp_path, "off", {"max_position_embeddings": 6000}) + registry = ModelRegistry() + _register(monkeypatch, registry, _load_config("on", opted_in, "auto")) + _register(monkeypatch, registry, _load_config("off", opted_out)) + + entries = _list(monkeypatch, registry) + assert entries["on"]["context_window"] == 131072 + assert entries["on"]["meta"] == {"n_ctx": 131072} + assert "context_window" not in entries["off"] + assert "meta" not in entries["off"] diff --git a/tests/unit/test_ov_genai_scheduler_config_unit.py b/tests/unit/test_ov_genai_scheduler_config_unit.py index df8f6ee1..9c61c965 100644 --- a/tests/unit/test_ov_genai_scheduler_config_unit.py +++ b/tests/unit/test_ov_genai_scheduler_config_unit.py @@ -98,7 +98,7 @@ def test_ignores_sdpa_backend(self): def test_context_window_does_not_drive_scheduler(): """The context window is advertisement only: it never enters the compiled - scheduler config. An explicit (or discovered) context_window with an + scheduler config. An opt-in context_window (a pinned int or "auto") with an all-unset scheduler block must emit no scheduler_config at all -- proving the two are decoupled. """ From 438706f8793ae962f414a18b7ee35b5733a00f37 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Tue, 22 Sep 2026 23:10:21 +0200 Subject: [PATCH 02/16] [#178] Run OpenVINO GenAI VLMs in supervised worker subprocesses. MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit New package src/engine/worker/ (4 modules + __init__), plus tests: protocol.py: JSON-lines wire protocol (LOAD/GENERATE/CANCEL/PING/UNLOAD ↔ READY/LOAD_OK/ITEM/DONE/ERROR/FATAL/BYE/CANCEL_ACK), error types, and the non-recoverable-error classifier (CL_OUT_OF_RESOURCES, CL_DEVICE_LOST, CL_DRIVER_ERROR, CL_INVALID_EVENT, "could not execute a primitive", "ProgramBuilder build failed") supervisor.py: WorkerSupervisor, spawns the child with the parent's interpreter/sys.path/cwd, reads stdout, forwards the child's stderr to openarc.log, PING watchdog (30 s / 5 s), death detection, and respawn with a per-load budget (2) worker_process.py: Child entry point, builds the real OVGenAI_VLM inside the worker process and runs its actual generate_type (streamers, tool-call parsing, metrics all unchanged). OpenVINO is imported lazily there; a _StubVLM (env OPENARC_WORKER_STUB=1) lets tests exercise the full pipe without GPU/OpenVINO worker_client.py: RemoteOVGenAI_VLM facade — same surface WorkerRegistry calls (generate_type/cancel/unload_model/async load_model) --- docs/index.md | 1 + docs/worker-processes.md | 63 +++ src/engine/__init__.py | 31 +- src/engine/worker/__init__.py | 30 ++ src/engine/worker/protocol.py | 144 ++++++ src/engine/worker/supervisor.py | 584 ++++++++++++++++++++++ src/engine/worker/worker_client.py | 119 +++++ src/engine/worker/worker_process.py | 321 ++++++++++++ src/server/model_registry.py | 37 +- src/server/worker_registry.py | 21 +- tests/unit/test_remote_vlm_worker_unit.py | 316 ++++++++++++ tests/unit/test_worker_protocol_unit.py | 107 ++++ 12 files changed, 1763 insertions(+), 11 deletions(-) create mode 100644 docs/worker-processes.md create mode 100644 src/engine/worker/__init__.py create mode 100644 src/engine/worker/protocol.py create mode 100644 src/engine/worker/supervisor.py create mode 100644 src/engine/worker/worker_client.py create mode 100644 src/engine/worker/worker_process.py create mode 100644 tests/unit/test_remote_vlm_worker_unit.py create mode 100644 tests/unit/test_worker_protocol_unit.py diff --git a/docs/index.md b/docs/index.md index eec47af9..d99e8e63 100644 --- a/docs/index.md +++ b/docs/index.md @@ -61,6 +61,7 @@ Request-time parameters passed via `extra_body` on the OpenAI-compatible API. ## Concepts - [Tool and Reasoning Parsing](tool_use.md#tool-and-reasoning-parsing) +- [Out-of-Process Inference Workers](worker-processes.md) — VLMs run in supervised worker subprocesses so unload/load always get a clean OpenVINO Core ## Models diff --git a/docs/worker-processes.md b/docs/worker-processes.md new file mode 100644 index 00000000..2ce6b6a0 --- /dev/null +++ b/docs/worker-processes.md @@ -0,0 +1,63 @@ +# Out-of-Process Inference Workers + +OpenVINO GenAI VLMs are not loaded in the server process. Each one runs in a +**dedicated worker subprocess** owned by a supervisor, and the server talks to +it over the process's stdin/stdout (one JSON object per line). The worker +builds and runs the `VLMPipeline`; the server process never touches OpenVINO +for that model. + +## Why a process boundary + +openvino_genai pipelines share a **process-wide singleton `ov::Core`**. When +the GPU plugin wedges — `CL_OUT_OF_RESOURCES`, device loss, "could not execute +a primitive", `ProgramBuilder build failed`, ... — no in-process model unload +or recompile can fix it: the poisoned Core outlives the model. The only way to +get a clean Core is a new process. That is why: + +| event | what happens | +| --- | --- | +| **unload** (`openarc unload`, API, or error-triggered) | the worker process is terminated. No wedged state can survive. | +| **load** (`openarc load`, startup) | a fresh process is spawned and the pipeline is built inside it (fresh Core). | +| **recoverable inference error** (the worker stays up) | the model is unloaded as before — now guaranteed clean, because unload is a process kill. | +| **non-recoverable error** (`CL_*` / driver failure) | the worker reports `FATAL` and exits; the supervisor **respawns a fresh process and re-runs the same load**, transparently. | +| **native crash / OOM-kill** (no `FATAL` message) | the supervisor detects the dead process and respawns it the same way. | +| **respawn budget exhausted** (2 respawns per load episode) | the model is unloaded from the registry: readiness drops, and an operator reloads it with a fresh budget. | + +A PING watchdog (every 30 s, 5 s timeout) kills a worker that stops +responding, so a wedged-but-alive process is recovered the same way. + +## What you will see in `openarc.log` + +- `spawning inference worker: ...` / `inference worker ready (pid=...)` +- the worker's own stdout of OpenVINO/OpenCL (forwarded from its stderr), + prefixed with `[ pid=...]` +- `inference worker exited unexpectedly (code=...)` + `respawning inference worker (n/2)` on recovery +- `respawn budget exhausted; worker is dead` + the resulting unload + +## Operator knobs + +| environment variable | effect | +| --- | --- | +| `OPENARC_VLM_WORKER=0` | disable the worker process for VLMs and restore the historical in-process behaviour (escape hatch for debugging) | + +Everything else (respawn budget, watchdog timings, unload timeouts) is +configurable on `WorkerSupervisor` for now and will get config-file support in +a later stage. + +## Implementation map + +| file | role | +| --- | --- | +| `src/engine/worker/protocol.py` | wire protocol, error types, non-recoverable-error classification | +| `src/engine/worker/supervisor.py` | process lifecycle, protocol session, respawn + watchdog | +| `src/engine/worker/worker_process.py` | child entry point; builds the pipeline inside the worker | +| `src/engine/worker/worker_client.py` | `RemoteOVGenAI_VLM` facade (same surface as `OVGenAI_VLM`) | +| `src/server/model_registry.py` | the factory wraps `OVGenAI_VLM` in the facade | +| `src/server/worker_registry.py` | dispatches VLM packets to the facade; a *worker death* does not trigger a registry unload (the supervisor owns recovery) | + +## Scope (stage 1) + +This is stage 1 of a larger refactor: only the OpenVINO GenAI **VLM** engine +runs out-of-process. LLM, Whisper, and the plain-openvino engines (Kokoro, +Qwen3-ASR/TTS) still load in-process and will join the worker pool in later +stages. `openarc bench` also still builds its pipeline in-process. diff --git a/src/engine/__init__.py b/src/engine/__init__.py index e76264db..dcac07df 100644 --- a/src/engine/__init__.py +++ b/src/engine/__init__.py @@ -1,9 +1,28 @@ +"""OpenArc inference engines. -from src.engine.ov_genai.llm import OVGenAI_LLM -from src.engine.ov_genai.vlm import OVGenAI_VLM -from src.engine.ov_genai.whisper import OVGenAI_Whisper -from src.engine.openvino.kokoro import OV_Kokoro +The heavy engine classes (OpenVINO GenAI, Kokoro, ...) are exported +lazily (PEP 562): ``from src.engine import OVGenAI_LLM`` keeps working, but +merely importing ``src.engine`` -- e.g. via its ``src.engine.worker`` +subpackage, which the inference worker subprocesses import at startup -- no +longer drags torch / openvino_genai / transformers / kokoro into the process. +That keeps worker-process startup (and every respawn) cheap. +""" -from src.engine.ov_genai.streamers import ChunkStreamer +import importlib -__all__ = ["OVGenAI_LLM", "ChunkStreamer", "OVGenAI_VLM", "OVGenAI_Whisper", "OV_Kokoro"] +_LAZY_EXPORTS = { + "OVGenAI_LLM": "src.engine.ov_genai.llm", + "OVGenAI_VLM": "src.engine.ov_genai.vlm", + "OVGenAI_Whisper": "src.engine.ov_genai.whisper", + "OV_Kokoro": "src.engine.openvino.kokoro", + "ChunkStreamer": "src.engine.ov_genai.streamers", +} + +__all__ = list(_LAZY_EXPORTS) + + +def __getattr__(name): + if name in _LAZY_EXPORTS: + module = importlib.import_module(_LAZY_EXPORTS[name]) + return getattr(module, name) + raise AttributeError(f"module {__name__!r} has no attribute {name!r}") diff --git a/src/engine/worker/__init__.py b/src/engine/worker/__init__.py new file mode 100644 index 00000000..49b72395 --- /dev/null +++ b/src/engine/worker/__init__.py @@ -0,0 +1,30 @@ +"""Out-of-process inference worker machinery (stage 1: OpenVINO GenAI VLM). + +The main server process never builds an OpenVINO pipeline for these models; +each one runs in a supervised child process (see docs/worker-processes.md). +""" + +from src.engine.worker.protocol import ( + PROTOCOL_VERSION, + ProtocolError, + RemoteWorkerDeadError, + RemoteWorkerError, + RemoteWorkerLoadError, + is_non_recoverable_error, + serialize_error, +) +from src.engine.worker.supervisor import EOF, WorkerSupervisor +from src.engine.worker.worker_client import RemoteOVGenAI_VLM + +__all__ = [ + "PROTOCOL_VERSION", + "ProtocolError", + "RemoteWorkerDeadError", + "RemoteWorkerError", + "RemoteWorkerLoadError", + "is_non_recoverable_error", + "serialize_error", + "EOF", + "WorkerSupervisor", + "RemoteOVGenAI_VLM", +] diff --git a/src/engine/worker/protocol.py b/src/engine/worker/protocol.py new file mode 100644 index 00000000..d5eb60f7 --- /dev/null +++ b/src/engine/worker/protocol.py @@ -0,0 +1,144 @@ +""" +Wire protocol between the OpenArc main process and its inference worker +subprocesses. + +Each model that runs in a worker process (currently OpenVINO GenAI VLMs) is +served by exactly one dedicated child process. The two sides talk over the +child's stdin/stdout using one JSON object per line: + + parent -> worker: {"v": 1, "op": "", ...} + worker -> parent: {"v": 1, "type": "", ...} + +stdout is reserved for protocol traffic; everything the worker would like to +say that is not protocol (logging, OpenVINO/OpenCL diagnostics, Python +tracebacks) must go to stderr, where the parent forwards it to openarc.log. + +Why a process boundary at all: openvino_genai pipelines share a +process-wide singleton ``ov::Core``. When the GPU plugin wedges +(CL_OUT_OF_RESOURCES, device loss, ...), no in-process unload or recompile +can fix it -- the poisoned Core outlives the model. Killing the worker +process and starting a fresh one is the only way to get a clean Core, which +is what makes unload/load reliable. +""" + +from __future__ import annotations + +import json +from typing import Any, Dict, Optional, Union + +PROTOCOL_VERSION = 1 + +# --- parent -> worker ops --------------------------------------------------- +OP_LOAD = "LOAD" # payload: req_id, config (ModelLoadConfig JSON) +OP_GENERATE = "GENERATE" # payload: req_id, request_id, gen_config (OVGenAI_GenConfig JSON) +OP_CANCEL = "CANCEL" # payload: req_id, request_id +OP_PING = "PING" # payload: req_id +OP_UNLOAD = "UNLOAD" # payload: req_id + +# --- worker -> parent message types ------------------------------------------ +MSG_READY = "READY" # ack of PING: worker is alive and responsive +MSG_LOAD_OK = "LOAD_OK" # pipeline built and ready +MSG_LOAD_ERROR = "LOAD_ERROR" # payload: req_id, error -- clean load failure, worker stays up +MSG_ITEM = "ITEM" # payload: req_id, item -- one item yielded by generate_type (str chunk or dict) +MSG_DONE = "DONE" # payload: req_id -- generation finished without error +MSG_ERROR = "ERROR" # payload: req_id, error -- per-request error, worker stays up +MSG_FATAL = "FATAL" # payload: error -- worker is exiting; process-wide failure +MSG_BYE = "BYE" # payload: req_id -- ack of UNLOAD; worker is exiting cleanly +MSG_CANCEL_ACK = "CANCEL_ACK" # payload: req_id, ok + + +class ProtocolError(ValueError): + """A line on the protocol channel is not a valid protocol message.""" + + +def _parse(line: Union[bytes, str], key: str) -> Dict[str, Any]: + if isinstance(line, bytes): + line = line.decode("utf-8", errors="replace") + try: + msg = json.loads(line) + except json.JSONDecodeError as e: + raise ProtocolError(f"invalid JSON on protocol channel: {e}") from e + if not isinstance(msg, dict): + raise ProtocolError(f"protocol message is not an object: {line[:200]!r}") + if msg.get("v") != PROTOCOL_VERSION: + raise ProtocolError( + f"unsupported protocol version {msg.get('v')!r} (want {PROTOCOL_VERSION})" + ) + if key not in msg: + raise ProtocolError(f"protocol message is missing '{key}': {line[:200]!r}") + return msg + + +def encode(op: str, **payload: Any) -> bytes: + """Encode a parent -> worker request as one protocol line.""" + return (json.dumps({"v": PROTOCOL_VERSION, "op": op, **payload}) + "\n").encode("utf-8") + + +def encode_response(type_: str, **payload: Any) -> bytes: + """Encode a worker -> parent message as one protocol line.""" + return (json.dumps({"v": PROTOCOL_VERSION, "type": type_, **payload}) + "\n").encode("utf-8") + + +def decode_request(line: Union[bytes, str]) -> Dict[str, Any]: + """Parse a parent -> worker line. Raises ProtocolError on malformed input.""" + return _parse(line, "op") + + +def decode_response(line: Union[bytes, str]) -> Dict[str, Any]: + """Parse a worker -> parent line. Raises ProtocolError on malformed input.""" + return _parse(line, "type") + + +def serialize_error(exc: BaseException) -> Dict[str, Any]: + """Reduce an exception to a JSON-safe {type, message} payload.""" + return {"type": type(exc).__name__, "message": str(exc)} + + +class RemoteWorkerError(Exception): + """A failure that happened inside (or to) the worker process. + + ``original_type`` carries the exception class name from the worker side + when one was reported, so log lines can show what actually raised. + """ + + def __init__(self, message: str, *, original_type: Optional[str] = None): + super().__init__(message) + self.original_type = original_type + + +class RemoteWorkerLoadError(RemoteWorkerError): + """The worker process failed to load the model.""" + + +class RemoteWorkerDeadError(RemoteWorkerError): + """The worker process is gone (crashed, killed, unloaded) or not (re)started. + + Distinct from a plain RemoteWorkerError on purpose: a dead worker is the + supervisor's problem (it respawns within budget, or unloads the model once + the budget is exhausted), so the registry must NOT also trigger an unload. + """ + + +# OpenCL / driver conditions that poison the process-wide ov::Core: once one +# of these happens, no in-process model unload or recompile can recover the +# device state, and the only clean remedy is a fresh process (fresh Core). +_NON_RECOVERABLE_MARKERS = ( + "cl_out_of_resources", + "cl_out_of_host_memory", + "cl_driver_error", + "cl_device_lost", + "cl_invalid_event", + "could not execute a primitive", + "programbuilder build failed", +) + + +def is_non_recoverable_error(exc: BaseException) -> bool: + """True when an exception looks like a wedged-device / driver failure. + + Used by the worker process to decide between a per-request ERROR (the + worker stays up) and a FATAL that takes the whole process down so the + supervisor can respawn a clean one. + """ + text = f"{type(exc).__name__}: {exc}".lower() + return any(marker in text for marker in _NON_RECOVERABLE_MARKERS) diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py new file mode 100644 index 00000000..4e895d1a --- /dev/null +++ b/src/engine/worker/supervisor.py @@ -0,0 +1,584 @@ +""" +WorkerSupervisor: owns one inference worker subprocess for one model. + +Responsibilities: + * spawn the child (``src.engine.worker.worker_process``) with the same + interpreter, sys.path and working directory the parent runs with, + * speak the line protocol on the child's stdin/stdout, + * forward the child's stderr to the openarc log (OpenVINO/OpenCL output), + * watch the process: PING watchdog, death detection, and -- when the child + dies while serving -- respawn a fresh process and re-run the same load, + within a per-load budget (a fresh process gets a fresh, unpoisoned + ov::Core). Once the budget is exhausted the ``on_dead`` callback fires, + which the facade wires to a model unload. + +State machine: + NOT_STARTED -> STARTING -> LOADING -> READY -> (RESTARTING -> READY) + \\-> DEAD (budget exhausted / load episode over) + any -> CLOSED (explicit unload; terminal) + +Load-episode rule: if the process dies while the initial load is still in +flight, no respawn happens in the background -- the registry's load call gets +the error and decides; a background respawn would leave a live process with +no registry record behind. +""" + +from __future__ import annotations + +import asyncio +import logging +import os +import sys +import uuid +from typing import Any, Awaitable, Callable, Dict, Optional, Tuple, Union + +from src.engine.worker import protocol as proto +from src.server.schemas.registration import ModelLoadConfig + +logger = logging.getLogger(__name__) + +# Sentinel the supervisor puts on a request queue to tell the client-side +# generator: "the stream has ended; now await the result future". +EOF = object() + + +class _PendingRequest: + """Supervisor side of one GENERATE: item queue + result future.""" + + __slots__ = ("req_id", "queue", "result") + + def __init__(self, req_id: str) -> None: + self.req_id = req_id + self.queue: asyncio.Queue = asyncio.Queue() + self.result: Optional[asyncio.Future] = None + + +class WorkerSupervisor: + """Spawns, talks to, and watches one inference worker subprocess.""" + + STATE_NOT_STARTED = "not_started" + STATE_STARTING = "starting" + STATE_LOADING = "loading" + STATE_READY = "ready" + STATE_RESTARTING = "restarting" + STATE_DEAD = "dead" + STATE_CLOSED = "closed" + + def __init__( + self, + model_name: str, + *, + max_respawns: int = 2, + load_timeout: Optional[float] = None, + unload_timeout: float = 10.0, + ping_interval: float = 30.0, + ping_timeout: float = 5.0, + restart_backoff: float = 0.5, + on_dead: Optional[Callable[[], Awaitable[None]]] = None, + ) -> None: + self._model_name = model_name + self._max_respawns = max_respawns + self._load_timeout = load_timeout + self._unload_timeout = unload_timeout + self._ping_interval = ping_interval + self._ping_timeout = ping_timeout + self._restart_backoff = restart_backoff + self._on_dead = on_dead + + self._state = self.STATE_NOT_STARTED + self._proc: Optional[asyncio.subprocess.Process] = None + self._reader_task: Optional[asyncio.Task] = None + self._stderr_task: Optional[asyncio.Task] = None + self._ping_task: Optional[asyncio.Task] = None + self._respawn_task: Optional[asyncio.Task] = None + self._load_future: Optional[asyncio.Future] = None + self._ping_future: Optional[asyncio.Future] = None + self._cancel: Optional[Tuple[str, asyncio.Future]] = None + self._active: Dict[str, _PendingRequest] = {} + self._fatal_error: Optional[str] = None + self._death_handled = False + self._closed = False + self._respawns = 0 + self._load_config: Optional[ModelLoadConfig] = None + + # -- introspection -------------------------------------------------------- + @property + def state(self) -> str: + return self._state + + @property + def pid(self) -> Optional[int]: + return self._proc.pid if self._proc is not None else None + + @property + def respawns(self) -> int: + return self._respawns + + def status(self) -> Dict[str, Any]: + return { + "state": self._state, + "pid": self.pid, + "respawns": self._respawns, + } + + # -- lifecycle ------------------------------------------------------------- + async def start(self, load_config: ModelLoadConfig, *, load_timeout: Optional[float] = None) -> None: + """Spawn the worker process and load the model inside it. + + Raises RemoteWorkerLoadError / RemoteWorkerDeadError when the load + does not complete; the child process is always cleaned up first. + """ + if self._state not in (self.STATE_NOT_STARTED, self.STATE_DEAD): + raise RuntimeError(f"supervisor is already running (state={self._state})") + self._load_config = load_config + self._respawns = 0 + self._closed = False + timeout = self._load_timeout if load_timeout is None else load_timeout + try: + await self._spawn_and_load(timeout) + except asyncio.CancelledError: + self._abort_child() + raise + except Exception: + self._abort_child() + raise + + def _abort_child(self) -> None: + """Best-effort cleanup after a failed load episode.""" + self._closed = True + self._set_state(self.STATE_DEAD) + self._stop_ping() + self._terminate_process() + + # -- spawning --------------------------------------------------------------- + def _build_command(self) -> list: + return [ + sys.executable, + "-c", + "import sys; from src.engine.worker.worker_process import main; sys.exit(main())", + ] + + def _build_env(self) -> Dict[str, str]: + env = dict(os.environ) + # The child must import exactly the code the parent is running, + # whatever the install mode (editable, wheel, plain cwd): hand over + # the parent's sys.path and keep the working directory. + paths = [p for p in sys.path if p] + cwd = os.getcwd() + if cwd not in paths: + paths.insert(0, cwd) + env["PYTHONPATH"] = os.pathsep.join(paths) + return env + + async def _spawn(self) -> None: + command = self._build_command() + logger.info(f"[{self._model_name}] spawning inference worker: {' '.join(command)}") + self._proc = await asyncio.create_subprocess_exec( + *command, + stdin=asyncio.subprocess.PIPE, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.PIPE, + cwd=os.getcwd(), + env=self._build_env(), + ) + self._reader_task = asyncio.create_task( + self._read_loop(), name=f"ovworker-read-{self._model_name}" + ) + self._stderr_task = asyncio.create_task( + self._stderr_pump(), name=f"ovworker-stderr-{self._model_name}" + ) + + async def _spawn_and_load(self, timeout: Optional[float]) -> None: + if self._closed: + raise proto.RemoteWorkerDeadError("supervisor is closed") + self._set_state(self.STATE_STARTING) + self._fatal_error = None + self._death_handled = False + await self._spawn() + self._start_ping() + self._load_future = asyncio.get_running_loop().create_future() + self._set_state(self.STATE_LOADING) + await self._send( + proto.encode( + proto.OP_LOAD, req_id="load", config=self._load_config.model_dump_json() + ) + ) + try: + await asyncio.wait_for(self._load_future, timeout) + except asyncio.TimeoutError as e: + raise proto.RemoteWorkerLoadError( + f"worker did not finish loading within {timeout:.0f}s" + ) from e + self._set_state(self.STATE_READY) + logger.info(f"[{self._model_name}] inference worker ready (pid={self.pid})") + + # -- sending ----------------------------------------------------------------- + async def _send(self, data: bytes) -> None: + proc = self._proc + if proc is None or proc.stdin is None or proc.returncode is not None: + raise proto.RemoteWorkerDeadError("worker process is not running") + try: + proc.stdin.write(data) + await proc.stdin.drain() + except (ConnectionResetError, BrokenPipeError, ValueError, OSError) as e: + raise proto.RemoteWorkerDeadError(f"cannot write to worker process: {e}") from e + + # -- request API ---------------------------------------------------------------- + async def begin_generate( + self, gen_config_json: str, request_id: Optional[str] + ) -> Tuple[asyncio.Queue, asyncio.Future]: + """Send GENERATE and return (item queue, result future). + + The queue yields the items the model's generate_type produced; it + always ends with the EOF sentinel, after which the result future + resolves (None) or raises. + """ + if self._state != self.STATE_READY: + raise proto.RemoteWorkerDeadError( + f"inference worker not ready (state={self._state})" + ) + loop = asyncio.get_running_loop() + req = _PendingRequest(uuid.uuid4().hex) + req.result = loop.create_future() + self._active[req.req_id] = req + await self._send( + proto.encode( + proto.OP_GENERATE, + req_id=req.req_id, + request_id=request_id, + gen_config=gen_config_json, + ) + ) + return req.queue, req.result + + async def request_cancel(self, request_id: str) -> bool: + """Ask the worker to cancel the generation tracked by request_id.""" + if self._state != self.STATE_READY: + return False + loop = asyncio.get_running_loop() + req_id = uuid.uuid4().hex + fut: asyncio.Future = loop.create_future() + self._cancel = (req_id, fut) + try: + await self._send(proto.encode(proto.OP_CANCEL, req_id=req_id, request_id=request_id)) + return bool(await asyncio.wait_for(fut, 5.0)) + except asyncio.TimeoutError: + logger.warning(f"[{self._model_name}] no CANCEL ack from worker") + return False + except proto.RemoteWorkerDeadError: + return False + finally: + if self._cancel is not None and self._cancel[0] == req_id: + self._cancel = None + + # -- unload --------------------------------------------------------------------- + async def unload(self) -> None: + """Ask the worker to exit and wait for it (terminate/kill as backup). + + Idempotent: always converges to the CLOSED state and reaps the pipe + tasks, whether called after a healthy episode, a failed load, or + repeated calls. + """ + self._closed = True + self._stop_ping() + self._set_state(self.STATE_CLOSED) + if self._respawn_task is not None and not self._respawn_task.done(): + self._respawn_task.cancel() + try: + await self._respawn_task + except (asyncio.CancelledError, Exception): + pass + self._respawn_task = None + if self._load_future is not None and not self._load_future.done(): + self._load_future.set_exception(proto.RemoteWorkerDeadError("worker unloaded")) + self._fail_all_active(proto.RemoteWorkerDeadError("worker unloaded")) + proc = self._proc + if proc is not None and proc.returncode is None: + try: + await self._send(proto.encode(proto.OP_UNLOAD, req_id="unload")) + except proto.RemoteWorkerDeadError: + pass + try: + await asyncio.wait_for(proc.wait(), self._unload_timeout) + except asyncio.TimeoutError: + logger.warning( + f"[{self._model_name}] worker did not exit after UNLOAD; terminating" + ) + try: + proc.terminate() + except ProcessLookupError: + pass + try: + await asyncio.wait_for(proc.wait(), 5.0) + except asyncio.TimeoutError: + logger.warning( + f"[{self._model_name}] worker did not exit after SIGTERM; killing" + ) + try: + proc.kill() + except ProcessLookupError: + pass + await proc.wait() + await self._await_pipe_tasks() + self._close_process_streams() + logger.info(f"[{self._model_name}] inference worker process stopped") + + async def _await_pipe_tasks(self) -> None: + for task in (self._reader_task, self._stderr_task): + if task is None: + continue + try: + await task + except (asyncio.CancelledError, Exception): + pass + self._reader_task = None + self._stderr_task = None + + def _close_process_streams(self) -> None: + """Release the subprocess transport so its pipes are closed. + + StreamReader (stdout/stderr) has no close() of its own; closing the + transport closes every pipe, delivers EOF to any pending reader, and + prevents the "Event loop is closed" warning when the transport is + otherwise only torn down by GC after the loop has shut down. + Idempotent: safe to call repeatedly. + """ + proc = self._proc + if proc is None: + return + transport = getattr(proc, "_transport", None) + if transport is not None: + try: + transport.close() + except (RuntimeError, ValueError): + pass + + # -- protocol session --------------------------------------------------------------- + async def _read_loop(self) -> None: + proc = self._proc + assert proc is not None and proc.stdout is not None + try: + while True: + line = await proc.stdout.readline() + if not line: + break + try: + msg = proto.decode_response(line) + except proto.ProtocolError as e: + logger.warning(f"[{self._model_name}] worker protocol error: {e}") + continue + self._dispatch(msg) + except asyncio.CancelledError: + raise + except Exception: + logger.exception(f"[{self._model_name}] worker reader loop crashed") + await proc.wait() + self._close_process_streams() + self._on_process_exited(proc.returncode) + + async def _stderr_pump(self) -> None: + proc = self._proc + assert proc is not None and proc.stderr is not None + try: + while True: + line = await proc.stderr.readline() + if not line: + break + text = line.decode("utf-8", errors="replace").rstrip() + if text: + logger.info(f"[{self._model_name} pid={proc.pid}] {text}") + except asyncio.CancelledError: + raise + except Exception: + logger.exception(f"[{self._model_name}] worker stderr pump failed") + + def _dispatch(self, msg: Dict[str, Any]) -> None: + mtype = msg["type"] + if mtype == proto.MSG_READY: + if self._ping_future is not None and not self._ping_future.done(): + self._ping_future.set_result(True) + elif mtype == proto.MSG_LOAD_OK: + if self._load_future is not None and not self._load_future.done(): + self._load_future.set_result(None) + elif mtype == proto.MSG_LOAD_ERROR: + err = msg.get("error") or {} + self._fail_load( + proto.RemoteWorkerLoadError( + err.get("message") or "worker reported a load failure", + original_type=err.get("type"), + ) + ) + elif mtype == proto.MSG_ITEM: + req = self._active.get(msg.get("req_id")) + if req is not None and not (req.result is not None and req.result.done()): + req.queue.put_nowait(msg.get("item")) + elif mtype == proto.MSG_DONE: + self._finish_request(msg.get("req_id"), None) + elif mtype == proto.MSG_ERROR: + err = msg.get("error") or {} + self._finish_request( + msg.get("req_id"), + proto.RemoteWorkerError( + err.get("message") or "inference failed in worker", + original_type=err.get("type"), + ), + ) + elif mtype == proto.MSG_FATAL: + err = msg.get("error") or {} + self._fatal_error = err.get("message") or "worker reported a fatal error" + # The worker is taking itself down on purpose (wedged device): for + # every in-flight request the worker IS dead, so the failures are + # RemoteWorkerDeadErrors -- the supervisor owns recovery (respawn + # within budget, or an unload once it is exhausted), and the + # registry must not double-act by unloading on the request error. + exc = proto.RemoteWorkerDeadError(self._fatal_error, original_type=err.get("type")) + self._fail_load(exc) + self._fail_all_active(exc) + elif mtype == proto.MSG_BYE: + pass # the process exits right after; the reader loop handles it + elif mtype == proto.MSG_CANCEL_ACK: + if ( + self._cancel is not None + and self._cancel[0] == msg.get("req_id") + and not self._cancel[1].done() + ): + self._cancel[1].set_result(bool(msg.get("ok"))) + + def _finish_request(self, req_id: Optional[str], error: Optional[BaseException]) -> None: + req = self._active.pop(req_id, None) + if req is None: + return + req.queue.put_nowait(EOF) + if req.result is not None and not req.result.done(): + if error is None: + req.result.set_result(None) + else: + req.result.set_exception(error) + + def _fail_load(self, exc: BaseException) -> None: + if self._load_future is not None and not self._load_future.done(): + self._load_future.set_exception(exc) + + def _fail_all_active(self, exc: BaseException) -> None: + for req_id in list(self._active): + self._finish_request(req_id, exc) + + # -- death & respawn ------------------------------------------------------------------ + def _on_process_exited(self, code: Optional[int]) -> None: + if self._death_handled: + return + self._death_handled = True + self._stop_ping() + detail = f" (code={code})" + suffix = f": {self._fatal_error}" if self._fatal_error else "" + if self._closed: + # Clean unload path: nothing to recover, nothing to respawn. + self._fail_load(proto.RemoteWorkerDeadError(f"worker process exited{detail}")) + return + logger.error( + f"[{self._model_name}] inference worker exited unexpectedly{detail}{suffix}" + ) + death_error = proto.RemoteWorkerDeadError( + f"inference worker process exited unexpectedly{detail}{suffix}" + ) + was_loading = self._load_future is not None and not self._load_future.done() + self._fail_load(death_error) + self._fail_all_active(death_error) + if was_loading or self._state == self.STATE_LOADING: + # Load episode over: the registry's load call gets the error and + # decides. A background respawn would leave a live process with + # no registry record behind. + self._set_state(self.STATE_DEAD) + return + if self._load_config is None: + self._set_state(self.STATE_DEAD) + return + if self._respawns < self._max_respawns: + self._respawns += 1 + self._set_state(self.STATE_RESTARTING) + logger.warning( + f"[{self._model_name}] respawning inference worker " + f"({self._respawns}/{self._max_respawns})" + ) + self._respawn_task = asyncio.create_task( + self._respawn(), name=f"ovworker-respawn-{self._model_name}" + ) + else: + self._set_state(self.STATE_DEAD) + logger.error( + f"[{self._model_name}] respawn budget exhausted; worker is dead" + ) + if self._on_dead is not None: + asyncio.create_task(self._fire_on_dead()) + + async def _respawn(self) -> None: + try: + await asyncio.sleep(self._restart_backoff) + await self._spawn_and_load(self._load_timeout) + logger.info( + f"[{self._model_name}] inference worker respawned (pid={self.pid})" + ) + except asyncio.CancelledError: + raise + except Exception as e: + if self._closed: + return + logger.error(f"[{self._model_name}] worker respawn failed: {e}") + self._set_state(self.STATE_DEAD) + if self._on_dead is not None: + await self._fire_on_dead() + + async def _fire_on_dead(self) -> None: + try: + await self._on_dead() + except Exception: + logger.exception(f"[{self._model_name}] on_dead callback failed") + + # -- watchdog --------------------------------------------------------------------------- + def _start_ping(self) -> None: + if self._ping_task is None or self._ping_task.done(): + self._ping_task = asyncio.create_task( + self._ping_loop(), name=f"ovworker-ping-{self._model_name}" + ) + + def _stop_ping(self) -> None: + if self._ping_task is not None: + self._ping_task.cancel() + self._ping_task = None + + async def _ping_loop(self) -> None: + while True: + await asyncio.sleep(self._ping_interval) + if self._closed or self._state not in (self.STATE_LOADING, self.STATE_READY): + return + loop = asyncio.get_running_loop() + fut: asyncio.Future = loop.create_future() + self._ping_future = fut + try: + await self._send(proto.encode(proto.OP_PING, req_id="ping")) + await asyncio.wait_for(fut, self._ping_timeout) + except asyncio.CancelledError: + return + except proto.RemoteWorkerDeadError: + return # the write failed; the reader loop handles the death + except asyncio.TimeoutError: + logger.error( + f"[{self._model_name}] worker unresponsive to PING for " + f"{self._ping_timeout:.0f}s; killing the process" + ) + self._terminate_process() + return + + def _terminate_process(self) -> None: + proc = self._proc + if proc is None or proc.returncode is not None: + return + try: + proc.kill() + except ProcessLookupError: + pass + + def _set_state(self, state: str) -> None: + if state != self._state: + logger.debug(f"[{self._model_name}] worker state {self._state} -> {state}") + self._state = state diff --git a/src/engine/worker/worker_client.py b/src/engine/worker/worker_client.py new file mode 100644 index 00000000..48fb1994 --- /dev/null +++ b/src/engine/worker/worker_client.py @@ -0,0 +1,119 @@ +""" +RemoteOVGenAI_VLM -- in-process facade for the out-of-process VLM worker. + +Presents the same async surface the server calls on a VLM instance +(load_model / generate_type / cancel / unload_model), but every OpenVINO call +happens in a supervised child process: + + * unload = terminate the process (no poisoned Core can be left behind) + * reload = spawn a fresh process (fresh ov::Core) + * wedge = the worker dies or reports FATAL; the supervisor respawns a + fresh process within a per-load budget, and once the budget is + exhausted the model is unloaded from the registry (readiness + drops, an operator reloads with a fresh budget) +""" + +from __future__ import annotations + +import asyncio +import logging +from typing import TYPE_CHECKING, Any, AsyncIterator, Dict, Optional, Union + +from src.engine.worker import protocol as proto +from src.engine.worker.supervisor import EOF, WorkerSupervisor +from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig +from src.server.schemas.registration import ModelLoadConfig + +if TYPE_CHECKING: + from src.server.model_registry import ModelRegistry + +logger = logging.getLogger(__name__) + + +class RemoteOVGenAI_VLM: + """Drop-in replacement for OVGenAI_VLM that runs the pipeline in a child process.""" + + def __init__( + self, + load_config: ModelLoadConfig, + *, + registry: Optional["ModelRegistry"] = None, + max_respawns: int = 2, + load_timeout: Optional[float] = None, + ) -> None: + self.load_config = load_config + self.model_name = load_config.model_name + self._registry = registry + self._supervisor = WorkerSupervisor( + self.model_name, + max_respawns=max_respawns, + load_timeout=load_timeout, + on_dead=self._on_worker_dead, + ) + + # -- registry-facing surface ------------------------------------------------ + async def load_model(self, loader: ModelLoadConfig) -> None: + """Spawn the worker process and load the pipeline inside it.""" + logger.info(f"[{loader.model_name}] loading model in a dedicated worker process") + await self._supervisor.start(loader) + + async def unload_model(self, registry: "ModelRegistry", model_name: str) -> bool: + """Unload: unregister from the registry and terminate the worker process.""" + self._registry = registry + removed = await registry.register_unload(model_name) + try: + await self._supervisor.unload() + logger.info(f"[{model_name}] inference worker terminated; model unloaded") + except Exception as e: + logger.warning(f"[{model_name}] error while terminating inference worker: {e}") + return removed + + async def _on_worker_dead(self) -> None: + """The supervisor used up its respawn budget: drop the model.""" + logger.error( + f"[{self.model_name}] inference worker is permanently dead " + f"(respawn budget exhausted); unloading the model" + ) + if self._registry is not None: + await self._registry.register_unload(self.model_name) + + # -- inference surface (called by WorkerRegistry) ----------------------------- + def generate_type(self, gen_config: OVGenAI_GenConfig) -> AsyncIterator[Union[Dict[str, Any], str]]: + """Unified generation; same yield contract as OVGenAI_VLM.generate_type.""" + return self._generate(gen_config) + + async def _generate(self, gen_config: OVGenAI_GenConfig) -> AsyncIterator[Union[Dict[str, Any], str]]: + queue, result = await self._supervisor.begin_generate( + gen_config.model_dump_json(), gen_config.request_id + ) + try: + while True: + item = await queue.get() + if item is EOF: + break + yield item + await result # raises if the worker reported an error + except GeneratorExit: + # The consumer stopped listening (e.g. client disconnect): ask + # the worker to stop producing instead of burning GPU for no one. + if gen_config.request_id is not None: + try: + await self._supervisor.request_cancel(gen_config.request_id) + except Exception: + pass + raise + finally: + if not result.done(): + result.cancel() + + async def cancel(self, request_id: str) -> bool: + """Cancel an ongoing streaming generation by request_id.""" + return await self._supervisor.request_cancel(request_id) + + # -- introspection ---------------------------------------------------------------- + def status(self) -> Dict[str, Any]: + return self._supervisor.status() + + @property + def worker_pid(self) -> Optional[int]: + return self._supervisor.pid diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py new file mode 100644 index 00000000..fe8262c9 --- /dev/null +++ b/src/engine/worker/worker_process.py @@ -0,0 +1,321 @@ +""" +Entry point of an OpenArc inference worker process. + +One of these runs per loaded model. It owns the OpenVINO / openvino.genai +pipeline for that model -- the main server process never builds one. +Communication with the supervisor is one JSON object per line over stdin +(commands) / stdout (responses); all logging and OpenVINO/OpenCL diagnostics +go to stderr, which the supervisor forwards to the openarc log. + +Exit codes: 0 = clean unload / parent gone; 1 = fatal (MSG_FATAL was sent) +or unhandled crash. The supervisor treats every non-clean exit as "the +process is gone" and decides whether to respawn a fresh one. +""" + +from __future__ import annotations + +import asyncio +import json +import logging +import os +import sys +import time +from typing import Any, Dict, List, Optional + +from src.engine.worker import protocol as proto +from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig +from src.server.schemas.registration import ModelLoadConfig + +logger = logging.getLogger("openarc.worker") + + +def _configure_logging() -> None: + """Point the root logger at stderr; stdout is the protocol channel.""" + handler = logging.StreamHandler(sys.stderr) + handler.setFormatter( + logging.Formatter( + "%(asctime)s %(levelname)s [worker pid=%(process)d] %(name)s: %(message)s" + ) + ) + root = logging.getLogger() + root.setLevel(logging.INFO) + root.handlers.clear() + root.addHandler(handler) + + +_STUB_ON = ("1", "true", "yes", "on") + + +class _StubVLM: + """ + Test double for OVGenAI_VLM, selected by OPENARC_WORKER_STUB=1 so the + whole spawn/IPC/respawn machinery can be exercised in unit tests without + OpenVINO, a GPU, or model files. It mirrors OVGenAI_VLM's yield contract: + non-streaming yields (metrics dict, text); streaming yields text chunks + then a metrics dict. + + Prompt keywords drive behaviour: + CRASH -> os._exit(139) (simulates a native crash / GPU wedge) + FATAL -> raises a CL_OUT_OF_RESOURCES-looking error (non-recoverable: + the worker reports MSG_FATAL and exits) + RAISE -> yields one token then raises (recoverable: MSG_ERROR, the + worker stays up) + SLOW -> per-token delay (OPENARC_WORKER_STUB_TOKEN_DELAY, default 0.05s) + """ + + def __init__(self, load_config: ModelLoadConfig) -> None: + self.load_config = load_config + self._cancel_events: Dict[str, asyncio.Event] = {} + + def load_model(self, loader: ModelLoadConfig) -> None: + if os.environ.get("OPENARC_WORKER_STUB_FAIL_LOAD", "").strip().lower() in _STUB_ON: + raise RuntimeError("stub load failure") + delay = float(os.environ.get("OPENARC_WORKER_STUB_LOAD_DELAY", "0.05")) + if delay > 0: + time.sleep(delay) + + @staticmethod + def _prompt_text(gen_config: OVGenAI_GenConfig) -> str: + if gen_config.prompt: + return gen_config.prompt + parts: List[str] = [] + for message in gen_config.messages or []: + content = message.get("content") + if isinstance(content, str): + parts.append(content) + return " ".join(parts) + + async def generate_type(self, gen_config: OVGenAI_GenConfig) -> Any: + text = self._prompt_text(gen_config) + if "CRASH" in text: + os._exit(139) + tokens = [t for t in text.split() if t not in ("CRASH", "FATAL", "RAISE", "SLOW")] or ["ok"] + if "FATAL" in text: + yield "partial" + raise RuntimeError("CL_OUT_OF_RESOURCES (stub)") + if "RAISE" in text: + yield "first" + raise RuntimeError("stub recoverable error") + if gen_config.request_id is not None: + self._cancel_events[gen_config.request_id] = asyncio.Event() + if gen_config.stream: + ev = self._cancel_events.get(gen_config.request_id) if gen_config.request_id else None + delay = float(os.environ.get("OPENARC_WORKER_STUB_TOKEN_DELAY", "0.05")) + for token in tokens: + if ev is not None and ev.is_set(): + return # cancelled: end the stream without metrics + yield token + if delay > 0: + await asyncio.sleep(delay) + if ev is not None and ev.is_set(): + return + yield {"new_token": len(tokens), "stream": True} + else: + yield {"new_token": len(tokens), "stream": False} + yield " ".join(tokens) + + async def cancel(self, request_id: str) -> bool: + ev = self._cancel_events.get(request_id) + if ev is not None: + ev.set() + return True + return False + + +class _Worker: + """The child-side protocol loop. + + The stdin read loop never blocks on generation: a GENERATE is dispatched + to a background task, so PING / CANCEL / UNLOAD are always processed even + while a pipeline is running. + """ + + def __init__(self) -> None: + self.model: Any = None + self.model_name = "" + self._active_gen: Optional[asyncio.Task] = None + self._active_request_id: Optional[str] = None + self._send_lock = asyncio.Lock() + + async def send(self, data: bytes) -> None: + async with self._send_lock: + sys.stdout.buffer.write(data) + sys.stdout.buffer.flush() + + async def run(self) -> None: + loop = asyncio.get_running_loop() + reader = asyncio.StreamReader() + protocol = asyncio.StreamReaderProtocol(reader) + await loop.connect_read_pipe(lambda: protocol, sys.stdin) + while True: + line = await reader.readline() + if not line: + logger.info("parent closed stdin; exiting") + break + try: + msg = proto.decode_request(line) + except proto.ProtocolError as e: + logger.warning(f"bad protocol message from parent: {e}") + continue + try: + await self._handle(msg) + except Exception: + logger.exception("failed to handle protocol message") + if self._active_gen is not None and not self._active_gen.done(): + self._active_gen.cancel() + + async def _handle(self, msg: Dict[str, Any]) -> None: + op = msg["op"] + if op == proto.OP_PING: + await self.send(proto.encode_response(proto.MSG_READY, req_id=msg["req_id"])) + elif op == proto.OP_LOAD: + asyncio.create_task(self._do_load(msg), name="ovworker-load") + elif op == proto.OP_GENERATE: + await self._do_generate(msg) + elif op == proto.OP_CANCEL: + ok = False + if self.model is not None and hasattr(self.model, "cancel"): + try: + ok = bool(await self.model.cancel(msg["request_id"])) + except Exception: + logger.exception("worker-side cancel failed") + await self.send(proto.encode_response(proto.MSG_CANCEL_ACK, req_id=msg["req_id"], ok=ok)) + elif op == proto.OP_UNLOAD: + await self.send(proto.encode_response(proto.MSG_BYE, req_id=msg["req_id"])) + await self._shutdown() + + async def _do_load(self, msg: Dict[str, Any]) -> None: + try: + load_config = ModelLoadConfig.model_validate_json(msg["config"]) + self.model_name = load_config.model_name + if os.environ.get("OPENARC_WORKER_STUB", "").strip().lower() in _STUB_ON: + model = _StubVLM(load_config) + else: + # Imported here (and only here) so the stub path -- and unit + # tests in general -- never pull OpenVINO into the process. + from src.engine.ov_genai.vlm import OVGenAI_VLM + + model = OVGenAI_VLM(load_config) + logger.info(f"[{load_config.model_name}] building pipeline on {load_config.device} ...") + await asyncio.to_thread(model.load_model, load_config) + self.model = model + logger.info(f"[{load_config.model_name}] pipeline ready") + await self.send(proto.encode_response(proto.MSG_LOAD_OK, req_id=msg["req_id"])) + except Exception as e: + logger.error(f"[{self.model_name or 'load'}] pipeline load failed", exc_info=True) + if proto.is_non_recoverable_error(e): + # The device is wedged: this process's ov::Core is poisoned + # and no in-process retry can fix it -- take the process down + # and let the supervisor spawn a fresh one. + await self.send(proto.encode_response(proto.MSG_FATAL, error=proto.serialize_error(e))) + os._exit(1) + await self.send( + proto.encode_response( + proto.MSG_LOAD_ERROR, req_id=msg["req_id"], error=proto.serialize_error(e) + ) + ) + + async def _do_generate(self, msg: Dict[str, Any]) -> None: + req_id = msg["req_id"] + if self.model is None: + await self.send( + proto.encode_response( + proto.MSG_ERROR, + req_id=req_id, + error={"type": "NotLoaded", "message": "no model loaded"}, + ) + ) + return + if self._active_gen is not None and not self._active_gen.done(): + await self.send( + proto.encode_response( + proto.MSG_ERROR, + req_id=req_id, + error={"type": "Busy", "message": "a generation is already in progress"}, + ) + ) + return + self._active_gen = asyncio.create_task( + self._run_generation(msg), name=f"ovworker-gen-{req_id[:8]}" + ) + + async def _run_generation(self, msg: Dict[str, Any]) -> None: + req_id = msg["req_id"] + self._active_request_id = msg.get("request_id") + try: + raw = json.loads(msg["gen_config"]) + # The contract declares messages/input_ids as non-optional lists + # with a None default (pydantic skips validation of defaults), so + # a JSON round-trip must normalise them back to empty lists. + raw["messages"] = raw.get("messages") or [] + raw["input_ids"] = raw.get("input_ids") or [] + gen_config = OVGenAI_GenConfig.model_validate(raw) + async for item in self.model.generate_type(gen_config): + await self.send(proto.encode_response(proto.MSG_ITEM, req_id=req_id, item=item)) + await self.send(proto.encode_response(proto.MSG_DONE, req_id=req_id)) + except asyncio.CancelledError: + raise + except Exception as e: + logger.error(f"[{self.model_name}] generation failed", exc_info=True) + if proto.is_non_recoverable_error(e): + # Wedged device: report FATAL and take the process down so + # the supervisor can respawn with a fresh ov::Core. + try: + await self.send( + proto.encode_response(proto.MSG_FATAL, error=proto.serialize_error(e)) + ) + except Exception: + pass + os._exit(1) + await self.send( + proto.encode_response( + proto.MSG_ERROR, req_id=req_id, error=proto.serialize_error(e) + ) + ) + finally: + self._active_request_id = None + self._active_gen = None + + async def _shutdown(self) -> None: + """Finish an in-flight generation (giving it a grace period), exit 0.""" + if self._active_gen is not None and not self._active_gen.done(): + if ( + self._active_request_id + and self.model is not None + and hasattr(self.model, "cancel") + ): + try: + await self.model.cancel(self._active_request_id) + except Exception: + pass + _, pending = await asyncio.wait({self._active_gen}, timeout=5.0) + for task in pending: + task.cancel() + sys.exit(0) + + +def main() -> int: + """Run the worker protocol loop. Returns the process exit code.""" + _configure_logging() + worker = _Worker() + try: + asyncio.run(worker.run()) + return 0 + except SystemExit as e: + return int(e.code) if isinstance(e.code, int) else 0 + except KeyboardInterrupt: + return 130 + except Exception as e: + logger.error(f"worker main loop crashed: {e}", exc_info=True) + try: + sys.stdout.buffer.write( + proto.encode_response(proto.MSG_FATAL, error=proto.serialize_error(e)) + ) + sys.stdout.buffer.flush() + except Exception: + pass + return 1 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/src/server/model_registry.py b/src/server/model_registry.py index fe8b0ffc..8c4bab43 100644 --- a/src/server/model_registry.py +++ b/src/server/model_registry.py @@ -4,6 +4,7 @@ import importlib import inspect import logging +import os import uuid from dataclasses import dataclass, field from datetime import datetime @@ -218,6 +219,10 @@ async def _load_task(self, model_id: str, load_config: ModelLoadConfig) -> None: try: # Load the model instance model_instance = await create_model_instance(load_config) + # Out-of-process engines (the remote VLM facade) report fatal + # worker failures back to the registry that loaded them. + if hasattr(model_instance, "_registry") and model_instance._registry is None: + model_instance._registry = self # Update the record with successful loading async with self._lock: @@ -366,7 +371,35 @@ async def create_model_instance(load_config: ModelLoadConfig) -> Any: module = importlib.import_module(module_path) model_class = getattr(module, class_name) - # Create and load model instance + # Create the model instance. model_instance = model_class(load_config) - await asyncio.to_thread(model_instance.load_model, load_config) + + # Lazy imports: src.engine's package __init__ imports the engine classes, + # and those import back into this module, so they must not be imported at + # module level here (circular import). + from src.engine.ov_genai.vlm import OVGenAI_VLM + from src.engine.worker.worker_client import RemoteOVGenAI_VLM + + # OpenVINO GenAI VLMs run in a dedicated worker process instead of in the + # server process: openvino_genai pipelines share a process-wide singleton + # ov::Core, and a wedged GPU plugin poisons it for the life of the + # process -- no in-process unload/reload can ever fix that. The facade + # below owns a supervised subprocess, so unload = terminate (guaranteed + # clean), reload = fresh process (fresh Core), and a wedged worker is + # respawned transparently within a per-load budget. Setting + # OPENARC_VLM_WORKER=0 restores the historical in-process behaviour. + if ( + isinstance(model_instance, OVGenAI_VLM) + and os.getenv("OPENARC_VLM_WORKER", "1").strip().lower() not in ("0", "false", "off", "no") + ): + model_instance = RemoteOVGenAI_VLM(load_config) + + # Load the model instance: remote facades load asynchronously (they spawn + # a subprocess); in-process engines keep their blocking load off the + # event loop. + load_fn = model_instance.load_model + if inspect.iscoroutinefunction(load_fn): + await load_fn(load_config) + else: + await asyncio.to_thread(load_fn, load_config) return model_instance diff --git a/src/server/worker_registry.py b/src/server/worker_registry.py index f13638e9..a98f2eeb 100644 --- a/src/server/worker_registry.py +++ b/src/server/worker_registry.py @@ -18,6 +18,8 @@ from src.engine.openvino.qwen3_tts.qwen3_tts import OVQwen3TTS from src.engine.optimum.optimum_emb import Optimum_EMB from src.engine.optimum.optimum_rr import Optimum_RR +from src.engine.worker.worker_client import RemoteOVGenAI_VLM +from src.engine.worker.protocol import RemoteWorkerDeadError from src.server.schemas.modeling.contract_kokoro import OV_KokoroGenConfig from src.server.schemas.modeling.contract_qwen3asr import OV_Qwen3ASRGenConfig @@ -104,6 +106,19 @@ def _commit_completed_packet( packet.result_future.set_exception(completed.request_error) return False if completed.error is not None: + if isinstance(completed.error, RemoteWorkerDeadError): + # The worker PROCESS died (crash, wedge, or it is mid-respawn). + # The supervisor owns recovery: it respawns a fresh process within + # budget, or unloads the model itself once the budget is + # exhausted. The registry must NOT double-act by unloading here -- + # that would kill an in-flight respawn. + logger.error( + f"[{model_name}] Inference failed because the inference worker " + f"process died; the supervisor is handling recovery." + ) + if packet.result_future is not None and not packet.result_future.done(): + packet.result_future.set_exception(completed.error) + return False logger.error( f"[{model_name}] Inference failed, triggering model unload..." ) @@ -168,7 +183,7 @@ async def infer_llm(packet: WorkerPacket, llm_instance: OVGenAI_LLM) -> WorkerPa return packet @staticmethod - async def infer_vlm(packet: WorkerPacket, vlm_model: OVGenAI_VLM) -> WorkerPacket: + async def infer_vlm(packet: WorkerPacket, vlm_model: Union[OVGenAI_VLM, RemoteOVGenAI_VLM]) -> WorkerPacket: """Generate text from image for a single packet using the OVGenAI_VLM pipeline""" metrics = None final_text = "" @@ -432,7 +447,7 @@ async def queue_worker_llm(model_name: str, model_queue: asyncio.Queue, llm_mode model_queue.task_done() @staticmethod - async def queue_worker_vlm(model_name: str, model_queue: asyncio.Queue, vlm_model: OVGenAI_VLM, registry: ModelRegistry): + async def queue_worker_vlm(model_name: str, model_queue: asyncio.Queue, vlm_model: Union[OVGenAI_VLM, RemoteOVGenAI_VLM], registry: ModelRegistry): """Image model inference worker that processes packets from queue""" logger.info(f"[VLM Worker: {model_name}] Started, waiting for packets...") while True: @@ -650,7 +665,7 @@ async def _on_model_loaded(self, record: ModelRecord) -> None: task = asyncio.create_task(QueueWorker.queue_worker_llm(record.model_name, q, instance, self._model_registry)) self._model_tasks_llm[record.model_name] = task - elif mt == ModelType.VLM and isinstance(instance, OVGenAI_VLM): + elif mt == ModelType.VLM and isinstance(instance, (OVGenAI_VLM, RemoteOVGenAI_VLM)): if record.model_name not in self._model_queues_vlm: q: asyncio.Queue = asyncio.Queue() self._model_queues_vlm[record.model_name] = q diff --git a/tests/unit/test_remote_vlm_worker_unit.py b/tests/unit/test_remote_vlm_worker_unit.py new file mode 100644 index 00000000..7966ce8d --- /dev/null +++ b/tests/unit/test_remote_vlm_worker_unit.py @@ -0,0 +1,316 @@ +""" +End-to-end tests for the out-of-process VLM worker (stage 1): +supervisor + protocol + RemoteOVGenAI_VLM facade, with the worker's model +replaced by a stub (OPENARC_WORKER_STUB=1) so no OpenVINO, GPU, or model +files are needed. Each test spawns a real child process and exercises the +full pipe: spawn -> LOAD -> GENERATE/ITEM/DONE -> UNLOAD, plus the failure +paths (recoverable error, FATAL+respawn, native-crash+respawn, respawn +budget exhaustion, load failure). +""" + +import asyncio + +import pytest # type: ignore[import] + +from src.engine.worker import protocol as proto +from src.engine.worker.worker_client import RemoteOVGenAI_VLM +from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig +from src.server.schemas.registration import EngineType, ModelLoadConfig, ModelType + + +def _load_config(tmp_path, name: str = "stub-vlm") -> ModelLoadConfig: + return ModelLoadConfig( + model_path=str(tmp_path), + model_name=name, + model_type=ModelType.VLM, + engine=EngineType.OV_GENAI, + device="CPU", + ) + + +def _gen_config(prompt: str, stream: bool = False, request_id: str = None) -> OVGenAI_GenConfig: + return OVGenAI_GenConfig(prompt=prompt, stream=stream, request_id=request_id) + + +async def _wait_for_state(facade: RemoteOVGenAI_VLM, state: str, timeout: float = 30.0) -> None: + async def _poll(): + while facade.status()["state"] != state: + await asyncio.sleep(0.05) + + await asyncio.wait_for(_poll(), timeout) + + +async def _wait_for_respawn(facade: RemoteOVGenAI_VLM, first_pid: int, timeout: float = 30.0) -> None: + """Wait until the supervisor has detected the death and the respawned + worker is ready again (a fresh PID proves a fresh process/Core).""" + + async def _poll(): + while facade.worker_pid == first_pid or facade.status()["state"] != "ready": + await asyncio.sleep(0.05) + + await asyncio.wait_for(_poll(), timeout) + + +async def _drain(facade: RemoteOVGenAI_VLM, gen_config: OVGenAI_GenConfig) -> list: + return [item async for item in facade.generate_type(gen_config)] + + +def test_load_generate_and_unload(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path) + + async def _run(): + facade = RemoteOVGenAI_VLM(config, load_timeout=30.0) + await facade.load_model(config) + assert facade.status()["state"] == "ready" + assert facade.worker_pid is not None + + # Non-streaming contract: metrics dict first, then the full text. + items = await _drain(facade, _gen_config("hello world")) + assert isinstance(items[0], dict) + assert items[0]["new_token"] == 2 + assert items[1] == "hello world" + + await facade._supervisor.unload() + assert facade.status()["state"] == "closed" + + asyncio.run(_run()) + + +def test_streaming_yields_chunks_then_metrics(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + monkeypatch.setenv("OPENARC_WORKER_STUB_TOKEN_DELAY", "0.01") + config = _load_config(tmp_path) + + async def _run(): + facade = RemoteOVGenAI_VLM(config, load_timeout=30.0) + await facade.load_model(config) + items = await _drain(facade, _gen_config("a b c", stream=True)) + assert [i for i in items if isinstance(i, str)] == ["a", "b", "c"] + assert items[-1] == {"new_token": 3, "stream": True} + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_recoverable_error_fails_request_but_worker_survives(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path) + + async def _run(): + facade = RemoteOVGenAI_VLM(config, load_timeout=30.0) + await facade.load_model(config) + + with pytest.raises(proto.RemoteWorkerError) as exc: + await _drain(facade, _gen_config("RAISE")) + assert "stub recoverable error" in str(exc.value) + assert exc.value.original_type == "RuntimeError" + + # The worker process is still alive and serving. + assert facade.status()["state"] == "ready" + items = await _drain(facade, _gen_config("still alive")) + assert items[-1] == "still alive" + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_fatal_error_respawns_worker(tmp_path, monkeypatch) -> None: + """A non-recoverable (CL_*) error takes the process down; the supervisor + respawns a fresh one and the model serves again without a registry reload.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path) + + async def _run(): + facade = RemoteOVGenAI_VLM(config, load_timeout=30.0) + await facade.load_model(config) + first_pid = facade.worker_pid + + with pytest.raises(proto.RemoteWorkerError) as exc: + await _drain(facade, _gen_config("FATAL please")) + assert "CL_OUT_OF_RESOURCES" in str(exc.value) + + # The supervisor uses its respawn budget to bring the model back. + await _wait_for_respawn(facade, first_pid) + assert facade.status()["respawns"] == 1 + + items = await _drain(facade, _gen_config("back up")) + assert items[-1] == "back up" + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_unexpected_crash_respawns_worker(tmp_path, monkeypatch) -> None: + """A native-style crash (process dies without a FATAL message) is also + recovered by a respawn.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path) + + async def _run(): + facade = RemoteOVGenAI_VLM(config, load_timeout=30.0) + await facade.load_model(config) + first_pid = facade.worker_pid + + with pytest.raises(proto.RemoteWorkerDeadError): + await _drain(facade, _gen_config("CRASH")) + + await _wait_for_respawn(facade, first_pid) + items = await _drain(facade, _gen_config("still here")) + assert items[-1] == "still here" + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_cancel_stops_stream_early(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + monkeypatch.setenv("OPENARC_WORKER_STUB_TOKEN_DELAY", "0.05") + config = _load_config(tmp_path) + + async def _run(): + facade = RemoteOVGenAI_VLM(config, load_timeout=30.0) + await facade.load_model(config) + got: list = [] + + async def consume(): + async for item in facade.generate_type( + _gen_config("SLOW one two three four five", stream=True, request_id="req-1") + ): + got.append(item) + + task = asyncio.create_task(consume()) + # Let a couple of tokens arrive, then cancel. + for _ in range(500): + if len([g for g in got if isinstance(g, str)]) >= 2: + break + await asyncio.sleep(0.01) + + cancelled = await facade.cancel("req-1") + assert cancelled is True + await task + + # The stream ended early: fewer than all five tokens, and a cancelled + # stream yields no trailing metrics dict. + text_chunks = [g for g in got if isinstance(g, str)] + assert 2 <= len(text_chunks) < 5 + assert not any(isinstance(g, dict) for g in got) + + # Cancellation of an unknown request id reports False. + assert await facade.cancel("no-such-request") is False + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_respawn_budget_exhaustion_unloads_model(tmp_path, monkeypatch) -> None: + class _FakeRegistry: + def __init__(self): + self.unloaded: list = [] + + async def register_unload(self, model_name: str, administrative: bool = False) -> bool: + self.unloaded.append(model_name) + return True + + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path) + + async def _run(): + registry = _FakeRegistry() + facade = RemoteOVGenAI_VLM( + config, registry=registry, max_respawns=0, load_timeout=30.0 + ) + await facade.load_model(config) + + with pytest.raises(proto.RemoteWorkerError): + await _drain(facade, _gen_config("CRASH")) + + # Budget of 0: no respawn; the facade reports the death to the registry. + await _wait_for_state(facade, "dead") + for _ in range(500): + if registry.unloaded: + break + await asyncio.sleep(0.01) + assert registry.unloaded == [config.model_name] + + # And further requests fail fast. + with pytest.raises(proto.RemoteWorkerDeadError): + await _drain(facade, _gen_config("again")) + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_load_failure_fails_start_and_cleans_up(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + monkeypatch.setenv("OPENARC_WORKER_STUB_FAIL_LOAD", "1") + config = _load_config(tmp_path) + + async def _run(): + facade = RemoteOVGenAI_VLM(config, load_timeout=30.0) + with pytest.raises(proto.RemoteWorkerLoadError) as exc: + await facade.load_model(config) + assert "stub load failure" in str(exc.value) + # The failed episode ends in DEAD and the child process is reaped. + assert facade.status()["state"] == "dead" + await facade._supervisor.unload() + assert facade.status()["state"] == "closed" + + asyncio.run(_run()) + + +def test_registry_end_to_end_with_remote_vlm(tmp_path, monkeypatch) -> None: + """Full path: ModelRegistry.register_load -> RemoteOVGenAI_VLM facade -> + worker process -> WorkerRegistry.generate (packets + queue worker), plus + the policy that a worker death must NOT trigger a registry unload (the + supervisor owns recovery).""" + from src.server.model_registry import ModelRegistry + from src.server.worker_registry import WorkerRegistry + + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path) + + async def _run(): + registry = ModelRegistry() + workers = WorkerRegistry(registry) + + model_id = await registry.register_load(config) + record = None + async with registry._lock: + for rec in registry._models.values(): + if rec.model_id == model_id: + record = rec + assert record is not None + assert isinstance(record.model_instance, RemoteOVGenAI_VLM) + + # Non-streaming generate through the full packet/worker pipeline. + result = await workers.generate(config.model_name, _gen_config("hello world")) + assert result["text"] == "hello world" + first_pid = record.model_instance.worker_pid + + # A fatal error fails the request but must NOT unload the model: the + # supervisor respawns and the model keeps serving. + with pytest.raises(proto.RemoteWorkerError): + await workers.generate(config.model_name, _gen_config("FATAL please")) + await _wait_for_respawn(record.model_instance, first_pid) + async with registry._lock: + assert any(r.model_name == config.model_name for r in registry._models.values()) + + result = await workers.generate(config.model_name, _gen_config("still serving")) + assert result["text"] == "still serving" + + # Streaming works too. + streamed = [] + async for item in workers.stream_generate(config.model_name, _gen_config("a b c", stream=True)): + streamed.append(item) + assert [i for i in streamed if isinstance(i, str)] == ["a", "b", "c"] + + # Unload terminates the worker process. + assert await registry.register_unload(config.model_name) is True + for _ in range(500): + if record.model_instance.status()["state"] == "closed": + break + await asyncio.sleep(0.01) + assert record.model_instance.status()["state"] == "closed" + + asyncio.run(_run()) diff --git a/tests/unit/test_worker_protocol_unit.py b/tests/unit/test_worker_protocol_unit.py new file mode 100644 index 00000000..cf5b7f9e --- /dev/null +++ b/tests/unit/test_worker_protocol_unit.py @@ -0,0 +1,107 @@ +"""Unit tests for the worker wire protocol (src.engine.worker.protocol).""" + +import json + +import pytest # type: ignore[import] + +from src.engine.worker import protocol as proto + + +def test_encode_decode_request_roundtrip() -> None: + line = proto.encode(proto.OP_GENERATE, req_id="r1", request_id="req-9", gen_config='{"prompt": "hi"}') + msg = proto.decode_request(line) + assert msg["v"] == proto.PROTOCOL_VERSION + assert msg["op"] == proto.OP_GENERATE + assert msg["req_id"] == "r1" + assert msg["request_id"] == "req-9" + assert msg["gen_config"] == '{"prompt": "hi"}' + + +def test_encode_decode_response_roundtrip() -> None: + item = {"new_token": 42, "stream": True} + line = proto.encode_response(proto.MSG_ITEM, req_id="r1", item=item) + msg = proto.decode_response(line) + assert msg["type"] == proto.MSG_ITEM + assert msg["item"] == item + + +def test_every_op_and_msg_roundtrips() -> None: + ops = [proto.OP_LOAD, proto.OP_GENERATE, proto.OP_CANCEL, proto.OP_PING, proto.OP_UNLOAD] + msgs = [ + proto.MSG_READY, + proto.MSG_LOAD_OK, + proto.MSG_LOAD_ERROR, + proto.MSG_ITEM, + proto.MSG_DONE, + proto.MSG_ERROR, + proto.MSG_FATAL, + proto.MSG_BYE, + proto.MSG_CANCEL_ACK, + ] + for op in ops: + assert proto.decode_request(proto.encode(op, req_id="x"))["op"] == op + for mtype in msgs: + assert proto.decode_response(proto.encode_response(mtype, req_id="x"))["type"] == mtype + + +def test_decode_request_rejects_response_shape() -> None: + line = (json.dumps({"v": proto.PROTOCOL_VERSION, "type": "DONE"}) + "\n").encode() + with pytest.raises(proto.ProtocolError): + proto.decode_request(line) + + +def test_decode_response_rejects_request_shape() -> None: + line = (json.dumps({"v": proto.PROTOCOL_VERSION, "op": "PING"}) + "\n").encode() + with pytest.raises(proto.ProtocolError): + proto.decode_response(line) + + +def test_decode_rejects_bad_version() -> None: + line = (json.dumps({"v": 99, "op": "LOAD"}) + "\n").encode() + with pytest.raises(proto.ProtocolError, match="version"): + proto.decode_request(line) + + +def test_decode_rejects_garbage() -> None: + with pytest.raises(proto.ProtocolError): + proto.decode_request(b"this is not json\n") + + +def test_decode_accepts_bytes_and_str() -> None: + line = proto.encode(proto.OP_PING, req_id="p") + assert proto.decode_request(line)["op"] == proto.OP_PING + assert proto.decode_request(line.decode("utf-8"))["op"] == proto.OP_PING + + +def test_serialize_error() -> None: + err = proto.serialize_error(ValueError("boom")) + assert err == {"type": "ValueError", "message": "boom"} + # Must be JSON-safe. + json.dumps(err) + + +def test_is_non_recoverable_markers() -> None: + assert proto.is_non_recoverable_error(RuntimeError("CL_OUT_OF_RESOURCES")) + assert proto.is_non_recoverable_error(RuntimeError("CL_INVALID_EVENT")) + assert proto.is_non_recoverable_error(RuntimeError("CL_OUT_OF_HOST_MEMORY")) + assert proto.is_non_recoverable_error(RuntimeError("CL_DEVICE_LOST")) + assert proto.is_non_recoverable_error(RuntimeError("CL_DRIVER_ERROR")) + assert proto.is_non_recoverable_error(RuntimeError("could not execute a primitive")) + assert proto.is_non_recoverable_error(RuntimeError("[GPU] ProgramBuilder build failed!")) + # Case-insensitive. + assert proto.is_non_recoverable_error(RuntimeError("Cl_Out_Of_Resources")) + + +def test_is_recoverable_errors_are_not_flagged() -> None: + assert not proto.is_non_recoverable_error(RuntimeError("CL_INVALID_VALUE: bad property")) + assert not proto.is_non_recoverable_error(ValueError("native vision tag count mismatch")) + assert not proto.is_non_recoverable_error(RuntimeError("stub recoverable error")) + assert not proto.is_non_recoverable_error(KeyError("missing model file")) + + +def test_remote_worker_error_carries_original_type() -> None: + exc = proto.RemoteWorkerError("CL_OUT_OF_RESOURCES", original_type="RuntimeError") + assert str(exc) == "CL_OUT_OF_RESOURCES" + assert exc.original_type == "RuntimeError" + assert isinstance(exc, Exception) + assert not isinstance(exc, proto.RemoteWorkerDeadError) From f92ba2414ab4bfc55305126f7e6de1db93ec3252 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Wed, 23 Sep 2026 00:40:17 +0200 Subject: [PATCH 03/16] [#178] Run OpenVINO GenAI LLM- and Whisper models in supervised worker subprocesses. MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit + Worker machinery generalized: protocol.py: new TRANSCRIBE op (reuses the ITEM/DONE/ERROR/FATAL flow — Whisper's transcribe is an async generator just like generate_type) worker_process.py: model construction now dispatches by model_type (VLM/LLM/Whisper, each lazy-imported in the child); gen-config validation per engine (OVGenAI_GenConfig for VLM/LLM with the messages/input_ids normalization, OVGenAI_WhisperGenConfig for Whisper); run dispatch is method-name driven (generate_type / transcribe); the stub now implements transcribe (control keywords via the decoded audio payload) supervisor.py: begin_generate → begin_run(op, ...) — fully engine-agnostic worker_client.py: shared RemoteOVGenAI base (supervisor plumbing, generate_type, transcribe, cancel, unload, respawn callback) + thin RemoteOVGenAI_VLM / RemoteOVGenAI_LLM / RemoteOVGenAI_Whisper subclasses for dispatch. --- docs/index.md | 2 +- docs/worker-processes.md | 28 +-- src/engine/worker/__init__.py | 10 +- src/engine/worker/protocol.py | 1 + src/engine/worker/supervisor.py | 20 +- src/engine/worker/worker_client.py | 47 +++-- src/engine/worker/worker_process.py | 130 +++++++++---- src/server/model_registry.py | 56 ++++-- src/server/worker_registry.py | 14 +- tests/unit/test_remote_vlm_worker_unit.py | 217 +++++++++++++++++++++- tests/unit/test_worker_protocol_unit.py | 2 +- 11 files changed, 419 insertions(+), 108 deletions(-) diff --git a/docs/index.md b/docs/index.md index d99e8e63..f5e9b70f 100644 --- a/docs/index.md +++ b/docs/index.md @@ -61,7 +61,7 @@ Request-time parameters passed via `extra_body` on the OpenAI-compatible API. ## Concepts - [Tool and Reasoning Parsing](tool_use.md#tool-and-reasoning-parsing) -- [Out-of-Process Inference Workers](worker-processes.md) — VLMs run in supervised worker subprocesses so unload/load always get a clean OpenVINO Core +- [Out-of-Process Inference Workers](worker-processes.md) — VLM/LLM/Whisper run in supervised worker subprocesses so unload/load always get a clean OpenVINO Core ## Models diff --git a/docs/worker-processes.md b/docs/worker-processes.md index 2ce6b6a0..4dd9313c 100644 --- a/docs/worker-processes.md +++ b/docs/worker-processes.md @@ -1,10 +1,10 @@ # Out-of-Process Inference Workers -OpenVINO GenAI VLMs are not loaded in the server process. Each one runs in a -**dedicated worker subprocess** owned by a supervisor, and the server talks to -it over the process's stdin/stdout (one JSON object per line). The worker -builds and runs the `VLMPipeline`; the server process never touches OpenVINO -for that model. +OpenVINO GenAI models (VLM, LLM, Whisper) are not loaded in the server +process. Each one runs in a **dedicated worker subprocess** owned by a +supervisor, and the server talks to it over the process's stdin/stdout (one +JSON object per line). The worker builds and runs the pipeline; the server +process never touches OpenVINO for that model. ## Why a process boundary @@ -38,7 +38,8 @@ responding, so a wedged-but-alive process is recovered the same way. | environment variable | effect | | --- | --- | -| `OPENARC_VLM_WORKER=0` | disable the worker process for VLMs and restore the historical in-process behaviour (escape hatch for debugging) | +| `OPENARC_OVGENAI_WORKER=0` | master switch: disable worker processes for all OpenVINO GenAI models (VLM/LLM/Whisper) and restore the historical in-process behaviour | +| `OPENARC_VLM_WORKER=0` | additionally disable the worker process for VLMs only (stage-1 escape hatch) | Everything else (respawn budget, watchdog timings, unload timeouts) is configurable on `WorkerSupervisor` for now and will get config-file support in @@ -52,12 +53,13 @@ a later stage. | `src/engine/worker/supervisor.py` | process lifecycle, protocol session, respawn + watchdog | | `src/engine/worker/worker_process.py` | child entry point; builds the pipeline inside the worker | | `src/engine/worker/worker_client.py` | `RemoteOVGenAI_VLM` facade (same surface as `OVGenAI_VLM`) | -| `src/server/model_registry.py` | the factory wraps `OVGenAI_VLM` in the facade | -| `src/server/worker_registry.py` | dispatches VLM packets to the facade; a *worker death* does not trigger a registry unload (the supervisor owns recovery) | +| `src/server/model_registry.py` | the factory wraps `OVGenAI_VLM` / `OVGenAI_LLM` / `OVGenAI_Whisper` in a facade | +| `src/server/worker_registry.py` | dispatches VLM/LLM/Whisper packets to the facades; a *worker death* does not trigger a registry unload (the supervisor owns recovery) | -## Scope (stage 1) +## Scope (stages 1–2 done) -This is stage 1 of a larger refactor: only the OpenVINO GenAI **VLM** engine -runs out-of-process. LLM, Whisper, and the plain-openvino engines (Kokoro, -Qwen3-ASR/TTS) still load in-process and will join the worker pool in later -stages. `openarc bench` also still builds its pipeline in-process. +Stages 1 and 2 are complete: OpenVINO GenAI **VLM, LLM, and Whisper** run +out-of-process. The plain-openvino engines (Kokoro, Qwen3-ASR, Qwen3-TTS) and +the optimum engines (embedding, rerank) still load in-process and will join +the worker pool in a later stage. `openarc bench` also still builds its +pipeline in-process. diff --git a/src/engine/worker/__init__.py b/src/engine/worker/__init__.py index 49b72395..b9175d4c 100644 --- a/src/engine/worker/__init__.py +++ b/src/engine/worker/__init__.py @@ -14,7 +14,12 @@ serialize_error, ) from src.engine.worker.supervisor import EOF, WorkerSupervisor -from src.engine.worker.worker_client import RemoteOVGenAI_VLM +from src.engine.worker.worker_client import ( + RemoteOVGenAI, + RemoteOVGenAI_LLM, + RemoteOVGenAI_VLM, + RemoteOVGenAI_Whisper, +) __all__ = [ "PROTOCOL_VERSION", @@ -26,5 +31,8 @@ "serialize_error", "EOF", "WorkerSupervisor", + "RemoteOVGenAI", "RemoteOVGenAI_VLM", + "RemoteOVGenAI_LLM", + "RemoteOVGenAI_Whisper", ] diff --git a/src/engine/worker/protocol.py b/src/engine/worker/protocol.py index d5eb60f7..2aea056f 100644 --- a/src/engine/worker/protocol.py +++ b/src/engine/worker/protocol.py @@ -31,6 +31,7 @@ # --- parent -> worker ops --------------------------------------------------- OP_LOAD = "LOAD" # payload: req_id, config (ModelLoadConfig JSON) OP_GENERATE = "GENERATE" # payload: req_id, request_id, gen_config (OVGenAI_GenConfig JSON) +OP_TRANSCRIBE = "TRANSCRIBE" # payload: req_id, gen_config (OVGenAI_WhisperGenConfig JSON) OP_CANCEL = "CANCEL" # payload: req_id, request_id OP_PING = "PING" # payload: req_id OP_UNLOAD = "UNLOAD" # payload: req_id diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py index 4e895d1a..1c9b15ae 100644 --- a/src/engine/worker/supervisor.py +++ b/src/engine/worker/supervisor.py @@ -224,14 +224,15 @@ async def _send(self, data: bytes) -> None: raise proto.RemoteWorkerDeadError(f"cannot write to worker process: {e}") from e # -- request API ---------------------------------------------------------------- - async def begin_generate( - self, gen_config_json: str, request_id: Optional[str] + async def begin_run( + self, op: str, gen_config_json: str, request_id: Optional[str] = None ) -> Tuple[asyncio.Queue, asyncio.Future]: - """Send GENERATE and return (item queue, result future). + """Send a run request (GENERATE / TRANSCRIBE) and return (item queue, + result future). - The queue yields the items the model's generate_type produced; it - always ends with the EOF sentinel, after which the result future - resolves (None) or raises. + The queue yields the items the model's run method produced; it always + ends with the EOF sentinel, after which the result future resolves + (None) or raises. """ if self._state != self.STATE_READY: raise proto.RemoteWorkerDeadError( @@ -242,12 +243,7 @@ async def begin_generate( req.result = loop.create_future() self._active[req.req_id] = req await self._send( - proto.encode( - proto.OP_GENERATE, - req_id=req.req_id, - request_id=request_id, - gen_config=gen_config_json, - ) + proto.encode(op, req_id=req.req_id, request_id=request_id, gen_config=gen_config_json) ) return req.queue, req.result diff --git a/src/engine/worker/worker_client.py b/src/engine/worker/worker_client.py index 48fb1994..0073dd12 100644 --- a/src/engine/worker/worker_client.py +++ b/src/engine/worker/worker_client.py @@ -1,9 +1,10 @@ """ -RemoteOVGenAI_VLM -- in-process facade for the out-of-process VLM worker. +Remote OVGenAI facades -- in-process stand-ins for models that run in a +supervised worker subprocess. -Presents the same async surface the server calls on a VLM instance -(load_model / generate_type / cancel / unload_model), but every OpenVINO call -happens in a supervised child process: +Each facade presents the same async surface the server calls on the +corresponding in-process class (load_model / generate_type / transcribe / +cancel / unload_model), but every OpenVINO call happens in a child process: * unload = terminate the process (no poisoned Core can be left behind) * reload = spawn a fresh process (fresh ov::Core) @@ -15,13 +16,13 @@ from __future__ import annotations -import asyncio import logging from typing import TYPE_CHECKING, Any, AsyncIterator, Dict, Optional, Union from src.engine.worker import protocol as proto from src.engine.worker.supervisor import EOF, WorkerSupervisor from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig +from src.server.schemas.modeling.contract_whisper import OVGenAI_WhisperGenConfig from src.server.schemas.registration import ModelLoadConfig if TYPE_CHECKING: @@ -30,8 +31,8 @@ logger = logging.getLogger(__name__) -class RemoteOVGenAI_VLM: - """Drop-in replacement for OVGenAI_VLM that runs the pipeline in a child process.""" +class RemoteOVGenAI: + """Shared facade for out-of-process OpenVINO GenAI models (stage 1+2).""" def __init__( self, @@ -79,13 +80,17 @@ async def _on_worker_dead(self) -> None: # -- inference surface (called by WorkerRegistry) ----------------------------- def generate_type(self, gen_config: OVGenAI_GenConfig) -> AsyncIterator[Union[Dict[str, Any], str]]: - """Unified generation; same yield contract as OVGenAI_VLM.generate_type.""" - return self._generate(gen_config) + """Text generation (VLM/LLM); same yield contract as OVGenAI_*_generate_type.""" + return self._run(proto.OP_GENERATE, gen_config.model_dump_json(), gen_config.request_id) - async def _generate(self, gen_config: OVGenAI_GenConfig) -> AsyncIterator[Union[Dict[str, Any], str]]: - queue, result = await self._supervisor.begin_generate( - gen_config.model_dump_json(), gen_config.request_id - ) + def transcribe(self, gen_config: OVGenAI_WhisperGenConfig) -> AsyncIterator[Union[Dict[str, Any], str]]: + """Audio transcription (Whisper); yields metrics dict then the text.""" + return self._run(proto.OP_TRANSCRIBE, gen_config.model_dump_json(), None) + + async def _run( + self, op: str, gen_config_json: str, request_id: Optional[str] + ) -> AsyncIterator[Union[Dict[str, Any], str]]: + queue, result = await self._supervisor.begin_run(op, gen_config_json, request_id) try: while True: item = await queue.get() @@ -96,9 +101,9 @@ async def _generate(self, gen_config: OVGenAI_GenConfig) -> AsyncIterator[Union[ except GeneratorExit: # The consumer stopped listening (e.g. client disconnect): ask # the worker to stop producing instead of burning GPU for no one. - if gen_config.request_id is not None: + if request_id is not None: try: - await self._supervisor.request_cancel(gen_config.request_id) + await self._supervisor.request_cancel(request_id) except Exception: pass raise @@ -117,3 +122,15 @@ def status(self) -> Dict[str, Any]: @property def worker_pid(self) -> Optional[int]: return self._supervisor.pid + + +class RemoteOVGenAI_VLM(RemoteOVGenAI): + """Out-of-process OpenVINO GenAI VLM (stage 1).""" + + +class RemoteOVGenAI_LLM(RemoteOVGenAI): + """Out-of-process OpenVINO GenAI LLM (stage 2).""" + + +class RemoteOVGenAI_Whisper(RemoteOVGenAI): + """Out-of-process OpenVINO GenAI Whisper (stage 2).""" diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py index fe8262c9..fed1ebc4 100644 --- a/src/engine/worker/worker_process.py +++ b/src/engine/worker/worker_process.py @@ -15,6 +15,7 @@ from __future__ import annotations import asyncio +import base64 import json import logging import os @@ -24,10 +25,45 @@ from src.engine.worker import protocol as proto from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig -from src.server.schemas.registration import ModelLoadConfig +from src.server.schemas.modeling.contract_whisper import OVGenAI_WhisperGenConfig +from src.server.schemas.registration import ModelLoadConfig, ModelType logger = logging.getLogger("openarc.worker") +# Engines the worker process knows how to run (stage 1+2: OpenVINO GenAI +# VLM/LLM/Whisper). Everything else stays in the server process for now. +_WORKER_MODEL_TYPES = (ModelType.VLM, ModelType.LLM, ModelType.WHISPER) + +_GEN_CONFIG_CLASSES = { + ModelType.LLM: OVGenAI_GenConfig, + ModelType.VLM: OVGenAI_GenConfig, + ModelType.WHISPER: OVGenAI_WhisperGenConfig, +} + + +def _make_model(load_config: ModelLoadConfig) -> Any: + """Build the model object inside the worker process (real or stub).""" + if load_config.model_type not in _WORKER_MODEL_TYPES: + raise ValueError( + f"model type {load_config.model_type.value!r} is not supported " + f"in the worker process (supported: {', '.join(t.value for t in _WORKER_MODEL_TYPES)})" + ) + if os.environ.get("OPENARC_WORKER_STUB", "").strip().lower() in _STUB_ON: + return _StubModel(load_config) + # Imported here (and only here) so the stub path -- and unit tests in + # general -- never pull OpenVINO into the process. + if load_config.model_type == ModelType.VLM: + from src.engine.ov_genai.vlm import OVGenAI_VLM + + return OVGenAI_VLM(load_config) + if load_config.model_type == ModelType.LLM: + from src.engine.ov_genai.llm import OVGenAI_LLM + + return OVGenAI_LLM(load_config) + from src.engine.ov_genai.whisper import OVGenAI_Whisper + + return OVGenAI_Whisper(load_config) + def _configure_logging() -> None: """Point the root logger at stderr; stdout is the protocol channel.""" @@ -46,15 +82,17 @@ def _configure_logging() -> None: _STUB_ON = ("1", "true", "yes", "on") -class _StubVLM: +class _StubModel: """ - Test double for OVGenAI_VLM, selected by OPENARC_WORKER_STUB=1 so the - whole spawn/IPC/respawn machinery can be exercised in unit tests without - OpenVINO, a GPU, or model files. It mirrors OVGenAI_VLM's yield contract: - non-streaming yields (metrics dict, text); streaming yields text chunks - then a metrics dict. - - Prompt keywords drive behaviour: + Test double for the OVGenAI models (VLM/LLM/Whisper), selected by + OPENARC_WORKER_STUB=1 so the whole spawn/IPC/respawn machinery can be + exercised in unit tests without OpenVINO, a GPU, or model files. It + mirrors the yield contracts: non-streaming generate_type yields + (metrics dict, text); streaming yields text chunks then a metrics dict; + transcribe yields (metrics dict, text). + + Prompt keywords (or, for transcribe, the decoded audio payload) drive + behaviour: CRASH -> os._exit(139) (simulates a native crash / GPU wedge) FATAL -> raises a CL_OUT_OF_RESOURCES-looking error (non-recoverable: the worker reports MSG_FATAL and exits) @@ -75,7 +113,14 @@ def load_model(self, loader: ModelLoadConfig) -> None: time.sleep(delay) @staticmethod - def _prompt_text(gen_config: OVGenAI_GenConfig) -> str: + def _payload_text(gen_config: Any) -> str: + """The control text: the prompt/messages for generate, the decoded + (text-encoded) audio payload for transcribe.""" + if isinstance(gen_config, OVGenAI_WhisperGenConfig): + try: + return base64.b64decode(gen_config.audio_base64).decode("utf-8", "replace") + except Exception: + return "" if gen_config.prompt: return gen_config.prompt parts: List[str] = [] @@ -86,7 +131,7 @@ def _prompt_text(gen_config: OVGenAI_GenConfig) -> str: return " ".join(parts) async def generate_type(self, gen_config: OVGenAI_GenConfig) -> Any: - text = self._prompt_text(gen_config) + text = self._payload_text(gen_config) if "CRASH" in text: os._exit(139) tokens = [t for t in text.split() if t not in ("CRASH", "FATAL", "RAISE", "SLOW")] or ["ok"] @@ -114,6 +159,19 @@ async def generate_type(self, gen_config: OVGenAI_GenConfig) -> Any: yield {"new_token": len(tokens), "stream": False} yield " ".join(tokens) + async def transcribe(self, gen_config: OVGenAI_WhisperGenConfig) -> Any: + text = self._payload_text(gen_config) + if "CRASH" in text: + os._exit(139) + if "FATAL" in text: + raise RuntimeError("CL_OUT_OF_RESOURCES (stub)") + if "RAISE" in text: + raise RuntimeError("stub recoverable error") + # Same yield contract as OVGenAI_Whisper.transcribe: metrics dict, + # then the transcribed text. + yield {"num_generated_tokens": 3, "throughput_tokens_per_sec": 1.0} + yield "stub transcript" + async def cancel(self, request_id: str) -> bool: ev = self._cancel_events.get(request_id) if ev is not None: @@ -133,6 +191,7 @@ class _Worker: def __init__(self) -> None: self.model: Any = None self.model_name = "" + self.model_type: Optional[ModelType] = None self._active_gen: Optional[asyncio.Task] = None self._active_request_id: Optional[str] = None self._send_lock = asyncio.Lock() @@ -171,7 +230,9 @@ async def _handle(self, msg: Dict[str, Any]) -> None: elif op == proto.OP_LOAD: asyncio.create_task(self._do_load(msg), name="ovworker-load") elif op == proto.OP_GENERATE: - await self._do_generate(msg) + await self._start_run(msg, "generate_type") + elif op == proto.OP_TRANSCRIBE: + await self._start_run(msg, "transcribe") elif op == proto.OP_CANCEL: ok = False if self.model is not None and hasattr(self.model, "cancel"): @@ -188,14 +249,8 @@ async def _do_load(self, msg: Dict[str, Any]) -> None: try: load_config = ModelLoadConfig.model_validate_json(msg["config"]) self.model_name = load_config.model_name - if os.environ.get("OPENARC_WORKER_STUB", "").strip().lower() in _STUB_ON: - model = _StubVLM(load_config) - else: - # Imported here (and only here) so the stub path -- and unit - # tests in general -- never pull OpenVINO into the process. - from src.engine.ov_genai.vlm import OVGenAI_VLM - - model = OVGenAI_VLM(load_config) + self.model_type = load_config.model_type + model = _make_model(load_config) logger.info(f"[{load_config.model_name}] building pipeline on {load_config.device} ...") await asyncio.to_thread(model.load_model, load_config) self.model = model @@ -215,7 +270,21 @@ async def _do_load(self, msg: Dict[str, Any]) -> None: ) ) - async def _do_generate(self, msg: Dict[str, Any]) -> None: + def _validate_gen_config(self, raw: Dict[str, Any]) -> Any: + """Validate the gen_config payload against the loaded engine's contract.""" + gen_config_cls = _GEN_CONFIG_CLASSES.get(self.model_type) + if gen_config_cls is None: + raise ValueError(f"no gen config contract for model type {self.model_type!r}") + if gen_config_cls is OVGenAI_GenConfig: + # The contract declares messages/input_ids as non-optional lists + # with a None default (pydantic skips validation of defaults), so + # a JSON round-trip must normalise them back to empty lists. + raw = dict(raw) + raw["messages"] = raw.get("messages") or [] + raw["input_ids"] = raw.get("input_ids") or [] + return gen_config_cls.model_validate(raw) + + async def _start_run(self, msg: Dict[str, Any], method_name: str) -> None: req_id = msg["req_id"] if self.model is None: await self.send( @@ -231,32 +300,27 @@ async def _do_generate(self, msg: Dict[str, Any]) -> None: proto.encode_response( proto.MSG_ERROR, req_id=req_id, - error={"type": "Busy", "message": "a generation is already in progress"}, + error={"type": "Busy", "message": "an inference is already in progress"}, ) ) return self._active_gen = asyncio.create_task( - self._run_generation(msg), name=f"ovworker-gen-{req_id[:8]}" + self._run_inference(msg, method_name), name=f"ovworker-gen-{req_id[:8]}" ) - async def _run_generation(self, msg: Dict[str, Any]) -> None: + async def _run_inference(self, msg: Dict[str, Any], method_name: str) -> None: req_id = msg["req_id"] self._active_request_id = msg.get("request_id") try: - raw = json.loads(msg["gen_config"]) - # The contract declares messages/input_ids as non-optional lists - # with a None default (pydantic skips validation of defaults), so - # a JSON round-trip must normalise them back to empty lists. - raw["messages"] = raw.get("messages") or [] - raw["input_ids"] = raw.get("input_ids") or [] - gen_config = OVGenAI_GenConfig.model_validate(raw) - async for item in self.model.generate_type(gen_config): + gen_config = self._validate_gen_config(json.loads(msg["gen_config"])) + run = getattr(self.model, method_name)(gen_config) + async for item in run: await self.send(proto.encode_response(proto.MSG_ITEM, req_id=req_id, item=item)) await self.send(proto.encode_response(proto.MSG_DONE, req_id=req_id)) except asyncio.CancelledError: raise except Exception as e: - logger.error(f"[{self.model_name}] generation failed", exc_info=True) + logger.error(f"[{self.model_name}] {method_name} failed", exc_info=True) if proto.is_non_recoverable_error(e): # Wedged device: report FATAL and take the process down so # the supervisor can respawn with a fresh ov::Core. diff --git a/src/server/model_registry.py b/src/server/model_registry.py index 8c4bab43..5f2f74c5 100644 --- a/src/server/model_registry.py +++ b/src/server/model_registry.py @@ -377,22 +377,35 @@ async def create_model_instance(load_config: ModelLoadConfig) -> Any: # Lazy imports: src.engine's package __init__ imports the engine classes, # and those import back into this module, so they must not be imported at # module level here (circular import). + from src.engine.ov_genai.llm import OVGenAI_LLM from src.engine.ov_genai.vlm import OVGenAI_VLM - from src.engine.worker.worker_client import RemoteOVGenAI_VLM - - # OpenVINO GenAI VLMs run in a dedicated worker process instead of in the - # server process: openvino_genai pipelines share a process-wide singleton - # ov::Core, and a wedged GPU plugin poisons it for the life of the - # process -- no in-process unload/reload can ever fix that. The facade - # below owns a supervised subprocess, so unload = terminate (guaranteed - # clean), reload = fresh process (fresh Core), and a wedged worker is - # respawned transparently within a per-load budget. Setting - # OPENARC_VLM_WORKER=0 restores the historical in-process behaviour. - if ( - isinstance(model_instance, OVGenAI_VLM) - and os.getenv("OPENARC_VLM_WORKER", "1").strip().lower() not in ("0", "false", "off", "no") - ): - model_instance = RemoteOVGenAI_VLM(load_config) + from src.engine.ov_genai.whisper import OVGenAI_Whisper + from src.engine.worker.worker_client import ( + RemoteOVGenAI_LLM, + RemoteOVGenAI_VLM, + RemoteOVGenAI_Whisper, + ) + + # OpenVINO GenAI models (VLM/LLM/Whisper) run in a dedicated worker + # process instead of in the server process: openvino_genai pipelines + # share a process-wide singleton ov::Core, and a wedged GPU plugin + # poisons it for the life of the process -- no in-process unload/reload + # can ever fix that. The facade below owns a supervised subprocess, so + # unload = terminate (guaranteed clean), reload = fresh process (fresh + # Core), and a wedged worker is respawned transparently within a + # per-load budget. OPENARC_OVGENAI_WORKER=0 (or OPENARC_VLM_WORKER=0 for + # VLMs) restores the historical in-process behaviour. + _WORKER_FACADES = { + OVGenAI_VLM: RemoteOVGenAI_VLM, + OVGenAI_LLM: RemoteOVGenAI_LLM, + OVGenAI_Whisper: RemoteOVGenAI_Whisper, + } + facade_cls = next( + (cls for base, cls in _WORKER_FACADES.items() if isinstance(model_instance, base)), + None, + ) + if facade_cls is not None and _ovgenai_worker_enabled(load_config.model_type): + model_instance = facade_cls(load_config) # Load the model instance: remote facades load asynchronously (they spawn # a subprocess); in-process engines keep their blocking load off the @@ -403,3 +416,16 @@ async def create_model_instance(load_config: ModelLoadConfig) -> Any: else: await asyncio.to_thread(load_fn, load_config) return model_instance + + +def _ovgenai_worker_enabled(model_type: ModelType) -> bool: + """Whether an OpenVINO GenAI model of this type runs in a worker process. + + OPENARC_OVGENAI_WORKER is the master switch (default on); + OPENARC_VLM_WORKER additionally gates VLMs (stage-1 escape hatch). + """ + if os.getenv("OPENARC_OVGENAI_WORKER", "1").strip().lower() in ("0", "false", "off", "no"): + return False + if model_type == ModelType.VLM: + return os.getenv("OPENARC_VLM_WORKER", "1").strip().lower() not in ("0", "false", "off", "no") + return True diff --git a/src/server/worker_registry.py b/src/server/worker_registry.py index a98f2eeb..37f49c0f 100644 --- a/src/server/worker_registry.py +++ b/src/server/worker_registry.py @@ -18,7 +18,7 @@ from src.engine.openvino.qwen3_tts.qwen3_tts import OVQwen3TTS from src.engine.optimum.optimum_emb import Optimum_EMB from src.engine.optimum.optimum_rr import Optimum_RR -from src.engine.worker.worker_client import RemoteOVGenAI_VLM +from src.engine.worker.worker_client import RemoteOVGenAI_LLM, RemoteOVGenAI_VLM, RemoteOVGenAI_Whisper from src.engine.worker.protocol import RemoteWorkerDeadError from src.server.schemas.modeling.contract_kokoro import OV_KokoroGenConfig @@ -148,7 +148,7 @@ class InferWorker: """ @staticmethod - async def infer_llm(packet: WorkerPacket, llm_instance: OVGenAI_LLM) -> WorkerPacket: + async def infer_llm(packet: WorkerPacket, llm_instance: Union[OVGenAI_LLM, RemoteOVGenAI_LLM]) -> WorkerPacket: """Generate text for a single packet using the OVGenAI_LLM pipeline""" metrics = None final_text = "" @@ -218,7 +218,7 @@ async def infer_vlm(packet: WorkerPacket, vlm_model: Union[OVGenAI_VLM, RemoteOV return packet @staticmethod - async def infer_whisper(packet: WorkerPacket, whisper_model: OVGenAI_Whisper) -> WorkerPacket: + async def infer_whisper(packet: WorkerPacket, whisper_model: Union[OVGenAI_Whisper, RemoteOVGenAI_Whisper]) -> WorkerPacket: """Transcribe audio for a single packet using the OVGenAI_Whisper pipeline. Note: Whisper pipeline operates non-streaming; this method processes the @@ -426,7 +426,7 @@ class QueueWorker: """ @staticmethod - async def queue_worker_llm(model_name: str, model_queue: asyncio.Queue, llm_model: OVGenAI_LLM, registry: ModelRegistry): + async def queue_worker_llm(model_name: str, model_queue: asyncio.Queue, llm_model: Union[OVGenAI_LLM, RemoteOVGenAI_LLM], registry: ModelRegistry): """Text model inference worker that processes packets from queue""" logger.info(f"[LLM Worker: {model_name}] Started, waiting for packets...") while True: @@ -468,7 +468,7 @@ async def queue_worker_vlm(model_name: str, model_queue: asyncio.Queue, vlm_mode model_queue.task_done() @staticmethod - async def queue_worker_whisper(model_name: str, model_queue: asyncio.Queue, whisper_model: OVGenAI_Whisper, registry: ModelRegistry): + async def queue_worker_whisper(model_name: str, model_queue: asyncio.Queue, whisper_model: Union[OVGenAI_Whisper, RemoteOVGenAI_Whisper], registry: ModelRegistry): """Whisper model inference worker that processes packets from queue""" logger.info(f"[Whisper Worker: {model_name}] Started, waiting for packets...") while True: @@ -658,7 +658,7 @@ async def _on_model_loaded(self, record: ModelRecord) -> None: instance = record.model_instance async with self._lock: - if mt == ModelType.LLM and isinstance(instance, OVGenAI_LLM): + if mt == ModelType.LLM and isinstance(instance, (OVGenAI_LLM, RemoteOVGenAI_LLM)): if record.model_name not in self._model_queues_llm: q: asyncio.Queue = asyncio.Queue() self._model_queues_llm[record.model_name] = q @@ -672,7 +672,7 @@ async def _on_model_loaded(self, record: ModelRecord) -> None: task = asyncio.create_task(QueueWorker.queue_worker_vlm(record.model_name, q, instance, self._model_registry)) self._model_tasks_vlm[record.model_name] = task - elif mt == ModelType.WHISPER and isinstance(instance, OVGenAI_Whisper): + elif mt == ModelType.WHISPER and isinstance(instance, (OVGenAI_Whisper, RemoteOVGenAI_Whisper)): if record.model_name not in self._model_queues_whisper: q: asyncio.Queue = asyncio.Queue() self._model_queues_whisper[record.model_name] = q diff --git a/tests/unit/test_remote_vlm_worker_unit.py b/tests/unit/test_remote_vlm_worker_unit.py index 7966ce8d..96dbfa3b 100644 --- a/tests/unit/test_remote_vlm_worker_unit.py +++ b/tests/unit/test_remote_vlm_worker_unit.py @@ -1,28 +1,34 @@ """ -End-to-end tests for the out-of-process VLM worker (stage 1): -supervisor + protocol + RemoteOVGenAI_VLM facade, with the worker's model +End-to-end tests for the out-of-process OVGenAI workers (stages 1+2): +supervisor + protocol + RemoteOVGenAI_* facades, with the worker's model replaced by a stub (OPENARC_WORKER_STUB=1) so no OpenVINO, GPU, or model files are needed. Each test spawns a real child process and exercises the -full pipe: spawn -> LOAD -> GENERATE/ITEM/DONE -> UNLOAD, plus the failure -paths (recoverable error, FATAL+respawn, native-crash+respawn, respawn -budget exhaustion, load failure). +full pipe: spawn -> LOAD -> GENERATE/TRANSCRIBE/ITEM/DONE -> UNLOAD, plus +the failure paths (recoverable error, FATAL+respawn, native-crash+respawn, +respawn budget exhaustion, load failure) for VLM, LLM, and Whisper. """ import asyncio +import base64 import pytest # type: ignore[import] from src.engine.worker import protocol as proto -from src.engine.worker.worker_client import RemoteOVGenAI_VLM +from src.engine.worker.worker_client import ( + RemoteOVGenAI_LLM, + RemoteOVGenAI_VLM, + RemoteOVGenAI_Whisper, +) from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig +from src.server.schemas.modeling.contract_whisper import OVGenAI_WhisperGenConfig from src.server.schemas.registration import EngineType, ModelLoadConfig, ModelType -def _load_config(tmp_path, name: str = "stub-vlm") -> ModelLoadConfig: +def _load_config(tmp_path, name: str = "stub-vlm", model_type: ModelType = ModelType.VLM) -> ModelLoadConfig: return ModelLoadConfig( model_path=str(tmp_path), model_name=name, - model_type=ModelType.VLM, + model_type=model_type, engine=EngineType.OV_GENAI, device="CPU", ) @@ -51,8 +57,13 @@ async def _poll(): await asyncio.wait_for(_poll(), timeout) -async def _drain(facade: RemoteOVGenAI_VLM, gen_config: OVGenAI_GenConfig) -> list: - return [item async for item in facade.generate_type(gen_config)] +async def _drain(facade, gen_config) -> list: + run = ( + facade.transcribe(gen_config) + if isinstance(gen_config, OVGenAI_WhisperGenConfig) + else facade.generate_type(gen_config) + ) + return [item async for item in run] def test_load_generate_and_unload(tmp_path, monkeypatch) -> None: @@ -314,3 +325,189 @@ async def _run(): assert record.model_instance.status()["state"] == "closed" asyncio.run(_run()) + + +def _whisper_config(payload: str) -> OVGenAI_WhisperGenConfig: + return OVGenAI_WhisperGenConfig(audio_base64=base64.b64encode(payload.encode("utf-8")).decode("ascii")) + + +def test_llm_generate_and_unload(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, name="stub-llm", model_type=ModelType.LLM) + + async def _run(): + facade = RemoteOVGenAI_LLM(config, load_timeout=30.0) + await facade.load_model(config) + assert facade.status()["state"] == "ready" + + items = await _drain(facade, _gen_config("hello world")) + assert isinstance(items[0], dict) + assert items[1] == "hello world" + + await facade._supervisor.unload() + assert facade.status()["state"] == "closed" + + asyncio.run(_run()) + + +def test_llm_streaming_yields_chunks_then_metrics(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + monkeypatch.setenv("OPENARC_WORKER_STUB_TOKEN_DELAY", "0.01") + config = _load_config(tmp_path, name="stub-llm", model_type=ModelType.LLM) + + async def _run(): + facade = RemoteOVGenAI_LLM(config, load_timeout=30.0) + await facade.load_model(config) + items = await _drain(facade, _gen_config("a b c", stream=True)) + assert [i for i in items if isinstance(i, str)] == ["a", "b", "c"] + assert items[-1] == {"new_token": 3, "stream": True} + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_llm_fatal_error_respawns_worker(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, name="stub-llm", model_type=ModelType.LLM) + + async def _run(): + facade = RemoteOVGenAI_LLM(config, load_timeout=30.0) + await facade.load_model(config) + first_pid = facade.worker_pid + + with pytest.raises(proto.RemoteWorkerError) as exc: + await _drain(facade, _gen_config("FATAL please")) + assert "CL_OUT_OF_RESOURCES" in str(exc.value) + + await _wait_for_respawn(facade, first_pid) + assert facade.status()["respawns"] == 1 + + items = await _drain(facade, _gen_config("back up")) + assert items[-1] == "back up" + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_whisper_transcribe(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, name="stub-whisper", model_type=ModelType.WHISPER) + + async def _run(): + facade = RemoteOVGenAI_Whisper(config, load_timeout=30.0) + await facade.load_model(config) + assert facade.status()["state"] == "ready" + + # Same yield contract as OVGenAI_Whisper.transcribe: metrics dict, + # then the transcribed text. + items = await _drain(facade, _whisper_config("some audio")) + assert isinstance(items[0], dict) + assert items[0]["num_generated_tokens"] == 3 + assert items[1] == "stub transcript" + + await facade._supervisor.unload() + assert facade.status()["state"] == "closed" + + asyncio.run(_run()) + + +def test_whisper_fatal_error_respawns_worker(tmp_path, monkeypatch) -> None: + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, name="stub-whisper", model_type=ModelType.WHISPER) + + async def _run(): + facade = RemoteOVGenAI_Whisper(config, load_timeout=30.0) + await facade.load_model(config) + first_pid = facade.worker_pid + + with pytest.raises(proto.RemoteWorkerError) as exc: + await _drain(facade, _whisper_config("FATAL audio")) + assert "CL_OUT_OF_RESOURCES" in str(exc.value) + + await _wait_for_respawn(facade, first_pid) + items = await _drain(facade, _whisper_config("audio again")) + assert items[1] == "stub transcript" + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_registry_end_to_end_with_remote_llm_and_whisper(tmp_path, monkeypatch) -> None: + """Full path for LLM + Whisper: register_load -> facade -> worker process + -> WorkerRegistry.generate / transcribe_whisper, including the policy + that a worker death must NOT trigger a registry unload.""" + from src.server.model_registry import ModelRegistry + from src.server.worker_registry import WorkerRegistry + + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + llm_config = _load_config(tmp_path, name="stub-llm", model_type=ModelType.LLM) + whisper_config = _load_config(tmp_path, name="stub-whisper", model_type=ModelType.WHISPER) + + async def _run(): + registry = ModelRegistry() + workers = WorkerRegistry(registry) + llm_id = await registry.register_load(llm_config) + whisper_id = await registry.register_load(whisper_config) + + async def _facade(model_id): + async with registry._lock: + for rec in registry._models.values(): + if rec.model_id == model_id: + return rec.model_instance + return None + + llm_facade = await _facade(llm_id) + whisper_facade = await _facade(whisper_id) + assert isinstance(llm_facade, RemoteOVGenAI_LLM) + assert isinstance(whisper_facade, RemoteOVGenAI_Whisper) + + # LLM generate through the full packet/worker pipeline. + result = await workers.generate(llm_config.model_name, _gen_config("hello world")) + assert result["text"] == "hello world" + llm_pid = llm_facade.worker_pid + + # LLM fatal error: request fails, model stays loaded, respawn. + with pytest.raises(proto.RemoteWorkerError): + await workers.generate(llm_config.model_name, _gen_config("FATAL please")) + await _wait_for_respawn(llm_facade, llm_pid) + result = await workers.generate(llm_config.model_name, _gen_config("still serving")) + assert result["text"] == "still serving" + + # Whisper transcription through the full packet/worker pipeline. + result = await workers.transcribe_whisper( + whisper_config.model_name, _whisper_config("audio data") + ) + assert result["text"] == "stub transcript" + assert result["metrics"]["num_generated_tokens"] == 3 + whisper_pid = whisper_facade.worker_pid + + # Whisper fatal error: request fails, model stays loaded, respawn. + with pytest.raises(proto.RemoteWorkerError): + await workers.transcribe_whisper( + whisper_config.model_name, _whisper_config("FATAL audio") + ) + await _wait_for_respawn(whisper_facade, whisper_pid) + result = await workers.transcribe_whisper( + whisper_config.model_name, _whisper_config("audio again") + ) + assert result["text"] == "stub transcript" + + # Both models survived their fatal errors. + async with registry._lock: + names = {r.model_name for r in registry._models.values()} + assert {llm_config.model_name, whisper_config.model_name} <= names + + # Unload terminates both worker processes. + assert await registry.register_unload(llm_config.model_name) is True + assert await registry.register_unload(whisper_config.model_name) is True + for _ in range(500): + if ( + llm_facade.status()["state"] == "closed" + and whisper_facade.status()["state"] == "closed" + ): + break + await asyncio.sleep(0.01) + assert llm_facade.status()["state"] == "closed" + assert whisper_facade.status()["state"] == "closed" + + asyncio.run(_run()) diff --git a/tests/unit/test_worker_protocol_unit.py b/tests/unit/test_worker_protocol_unit.py index cf5b7f9e..a6bb5568 100644 --- a/tests/unit/test_worker_protocol_unit.py +++ b/tests/unit/test_worker_protocol_unit.py @@ -26,7 +26,7 @@ def test_encode_decode_response_roundtrip() -> None: def test_every_op_and_msg_roundtrips() -> None: - ops = [proto.OP_LOAD, proto.OP_GENERATE, proto.OP_CANCEL, proto.OP_PING, proto.OP_UNLOAD] + ops = [proto.OP_LOAD, proto.OP_GENERATE, proto.OP_TRANSCRIBE, proto.OP_CANCEL, proto.OP_PING, proto.OP_UNLOAD] msgs = [ proto.MSG_READY, proto.MSG_LOAD_OK, From b209f9a969a0952089f8afe33aa6731494f203d1 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Wed, 23 Sep 2026 08:41:59 +0200 Subject: [PATCH 04/16] [#178] Fixed schema flaw in OVGenAI_GenConfig (default prompt was None) --- src/engine/ov_genai/llm.py | 2 +- src/engine/ov_genai/vlm.py | 8 +++++- src/engine/worker/supervisor.py | 22 ++++++++++++---- src/engine/worker/worker_process.py | 21 ++++++++++----- .../modeling/contract_ovgenai_llm_and_vlm.py | 11 +++++--- tests/unit/test_remote_vlm_worker_unit.py | 26 +++++++++++++++++++ tests/unit/test_worker_protocol_unit.py | 14 ++++++++++ 7 files changed, 87 insertions(+), 17 deletions(-) diff --git a/src/engine/ov_genai/llm.py b/src/engine/ov_genai/llm.py index 673fdd8f..fa240e9e 100755 --- a/src/engine/ov_genai/llm.py +++ b/src/engine/ov_genai/llm.py @@ -34,7 +34,7 @@ def __init__(self, load_config: ModelLoadConfig): self._active_streamer: Optional[ChunkStreamer] = None def prepare_inputs(self, - messages: List[Dict[str, Any]], + messages: Optional[List[Dict[str, Any]]], tools: Optional[List[Dict[str, Any]]] = None, chat_template_kwargs: dict = {} ) -> ov.Tensor: diff --git a/src/engine/ov_genai/vlm.py b/src/engine/ov_genai/vlm.py index 392ac199..2ff59e54 100644 --- a/src/engine/ov_genai/vlm.py +++ b/src/engine/ov_genai/vlm.py @@ -53,7 +53,7 @@ def _vision_token_for_index(self, index: int) -> str: return token_template def prepare_inputs(self, - messages: List[Dict[str, Any]], + messages: Optional[List[Dict[str, Any]]], tools: Optional[List[Dict[str, Any]]] = None, chat_template_kwargs: dict = {} ) -> Tuple[str, List[ov.Tensor]]: @@ -68,6 +68,12 @@ def prepare_inputs(self, (tokenized_messages, ov_images) """ + if not messages: + # Nothing to tokenize (a request carrying neither prompt, + # input_ids, nor messages); return an empty prompt and let the + # pipeline surface the missing-input error. + return "", [] + images: List[Image.Image] = [] text_messages: List[Dict[str, Any]] = [] diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py index 1c9b15ae..c55b2542 100644 --- a/src/engine/worker/supervisor.py +++ b/src/engine/worker/supervisor.py @@ -191,6 +191,9 @@ async def _spawn(self) -> None: async def _spawn_and_load(self, timeout: Optional[float]) -> None: if self._closed: raise proto.RemoteWorkerDeadError("supervisor is closed") + load_config = self._load_config + if load_config is None: + raise proto.RemoteWorkerDeadError("no load config registered") self._set_state(self.STATE_STARTING) self._fatal_error = None self._death_handled = False @@ -200,7 +203,7 @@ async def _spawn_and_load(self, timeout: Optional[float]) -> None: self._set_state(self.STATE_LOADING) await self._send( proto.encode( - proto.OP_LOAD, req_id="load", config=self._load_config.model_dump_json() + proto.OP_LOAD, req_id="load", config=load_config.model_dump_json() ) ) try: @@ -405,7 +408,10 @@ def _dispatch(self, msg: Dict[str, Any]) -> None: ) ) elif mtype == proto.MSG_ITEM: - req = self._active.get(msg.get("req_id")) + req_id = msg.get("req_id") + if not isinstance(req_id, str): + return + req = self._active.get(req_id) if req is not None and not (req.result is not None and req.result.done()): req.queue.put_nowait(msg.get("item")) elif mtype == proto.MSG_DONE: @@ -421,13 +427,14 @@ def _dispatch(self, msg: Dict[str, Any]) -> None: ) elif mtype == proto.MSG_FATAL: err = msg.get("error") or {} - self._fatal_error = err.get("message") or "worker reported a fatal error" + message = str(err.get("message") or "worker reported a fatal error") + self._fatal_error = message # The worker is taking itself down on purpose (wedged device): for # every in-flight request the worker IS dead, so the failures are # RemoteWorkerDeadErrors -- the supervisor owns recovery (respawn # within budget, or an unload once it is exhausted), and the # registry must not double-act by unloading on the request error. - exc = proto.RemoteWorkerDeadError(self._fatal_error, original_type=err.get("type")) + exc = proto.RemoteWorkerDeadError(message, original_type=err.get("type")) self._fail_load(exc) self._fail_all_active(exc) elif mtype == proto.MSG_BYE: @@ -441,6 +448,8 @@ def _dispatch(self, msg: Dict[str, Any]) -> None: self._cancel[1].set_result(bool(msg.get("ok"))) def _finish_request(self, req_id: Optional[str], error: Optional[BaseException]) -> None: + if req_id is None: + return req = self._active.pop(req_id, None) if req is None: return @@ -525,8 +534,11 @@ async def _respawn(self) -> None: await self._fire_on_dead() async def _fire_on_dead(self) -> None: + on_dead = self._on_dead + if on_dead is None: + return try: - await self._on_dead() + await on_dead() except Exception: logger.exception(f"[{self._model_name}] on_dead callback failed") diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py index fed1ebc4..2c3daa8c 100644 --- a/src/engine/worker/worker_process.py +++ b/src/engine/worker/worker_process.py @@ -272,16 +272,23 @@ async def _do_load(self, msg: Dict[str, Any]) -> None: def _validate_gen_config(self, raw: Dict[str, Any]) -> Any: """Validate the gen_config payload against the loaded engine's contract.""" + if self.model_type is None: + raise ValueError("no model loaded") gen_config_cls = _GEN_CONFIG_CLASSES.get(self.model_type) if gen_config_cls is None: raise ValueError(f"no gen config contract for model type {self.model_type!r}") - if gen_config_cls is OVGenAI_GenConfig: - # The contract declares messages/input_ids as non-optional lists - # with a None default (pydantic skips validation of defaults), so - # a JSON round-trip must normalise them back to empty lists. - raw = dict(raw) - raw["messages"] = raw.get("messages") or [] - raw["input_ids"] = raw.get("input_ids") or [] + raw = dict(raw) + # Drop explicit nulls on fields whose declared default is None: the + # parent serialises whatever the in-memory object carries, and + # pydantic does not validate defaults, so a field declared + # non-optional with a None default arrives as null and would fail + # validation against its declared type even though the in-memory + # object holds exactly that value. Removing the key lets the default + # apply. Required fields (no default) are left untouched, so a null + # there still fails loudly. + for name, field_info in gen_config_cls.model_fields.items(): + if field_info.default is None and raw.get(name) is None: + raw.pop(name) return gen_config_cls.model_validate(raw) async def _start_run(self, msg: Dict[str, Any], method_name: str) -> None: diff --git a/src/server/schemas/modeling/contract_ovgenai_llm_and_vlm.py b/src/server/schemas/modeling/contract_ovgenai_llm_and_vlm.py index 700d8675..aba0a65c 100644 --- a/src/server/schemas/modeling/contract_ovgenai_llm_and_vlm.py +++ b/src/server/schemas/modeling/contract_ovgenai_llm_and_vlm.py @@ -8,15 +8,20 @@ class OVGenAI_GenConfig(BaseModel): Supports both text-only and multimodal (text + image) messages. Supports OpenAI message format including tool calls and tool responses. """ - messages: List[Dict[str, Any]] = Field( + # NOTE: messages / prompt / input_ids are Optional with a None default and + # MUST stay that way: they are round-tripped over the worker IPC as JSON, + # and pydantic validates null against the declared type on the way back. + # (Pydantic skips validation of defaults in-memory, which is how the + # non-optional-with-None-default variant of this bug survived in-process.) + messages: Optional[List[Dict[str, Any]]] = Field( default=None, description="List of conversation messages. Supports OpenAI message format including user/assistant/system/tool roles, tool_calls, and tool_call_id fields." ) - prompt: str = Field( + prompt: Optional[str] = Field( default=None, description="Raw text prompt (used for /v1/completions endpoint instead of messages)" ) - input_ids: List[int] = Field( + input_ids: Optional[List[int]] = Field( default=None, description="Pre-encoded input token IDs (used for benchmarking to bypass tokenization)" ) diff --git a/tests/unit/test_remote_vlm_worker_unit.py b/tests/unit/test_remote_vlm_worker_unit.py index 96dbfa3b..e298c1ab 100644 --- a/tests/unit/test_remote_vlm_worker_unit.py +++ b/tests/unit/test_remote_vlm_worker_unit.py @@ -331,6 +331,32 @@ def _whisper_config(payload: str) -> OVGenAI_WhisperGenConfig: return OVGenAI_WhisperGenConfig(audio_base64=base64.b64encode(payload.encode("utf-8")).decode("ascii")) +def test_vlm_chat_request_with_messages_only_roundtrips(tmp_path, monkeypatch) -> None: + """Regression for the goose chat failure: a chat request carries + `messages` (no `prompt`), so prompt is None; the JSON round-trip into + the worker process must survive that.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path) + + async def _run(): + facade = RemoteOVGenAI_VLM(config, load_timeout=30.0) + await facade.load_model(config) + chat_config = OVGenAI_GenConfig( + messages=[ + {"role": "system", "content": "you are a test"}, + {"role": "user", "content": "hello world"}, + ], + stream=False, + ) + assert chat_config.prompt is None + items = await _drain(facade, chat_config) + assert isinstance(items[0], dict) + assert items[-1] == "you are a test hello world" # stub echoes message text + await facade._supervisor.unload() + + asyncio.run(_run()) + + def test_llm_generate_and_unload(tmp_path, monkeypatch) -> None: monkeypatch.setenv("OPENARC_WORKER_STUB", "1") config = _load_config(tmp_path, name="stub-llm", model_type=ModelType.LLM) diff --git a/tests/unit/test_worker_protocol_unit.py b/tests/unit/test_worker_protocol_unit.py index a6bb5568..798ca6d8 100644 --- a/tests/unit/test_worker_protocol_unit.py +++ b/tests/unit/test_worker_protocol_unit.py @@ -105,3 +105,17 @@ def test_remote_worker_error_carries_original_type() -> None: assert exc.original_type == "RuntimeError" assert isinstance(exc, Exception) assert not isinstance(exc, proto.RemoteWorkerDeadError) + + +def test_gen_config_chat_shape_roundtrips() -> None: + """Regression: chat requests carry `messages` only, so prompt/input_ids + are None. The IPC JSON round-trip must not choke on those nulls.""" + from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig + + gc = OVGenAI_GenConfig(messages=[{"role": "user", "content": "hi"}]) + assert gc.prompt is None + assert gc.input_ids is None + restored = OVGenAI_GenConfig.model_validate_json(gc.model_dump_json()) + assert restored.prompt is None + assert restored.input_ids is None + assert restored.messages == [{"role": "user", "content": "hi"}] From 61b52c697e3bf3de4b61b7fef6e3d347bdade237 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Wed, 23 Sep 2026 11:34:42 +0200 Subject: [PATCH 05/16] [#178] Transfer limit to/from worker exceeded bug fixed. Increased default to 256MiB. --- docs/worker-processes.md | 7 +++ src/engine/worker/protocol.py | 11 +++++ src/engine/worker/supervisor.py | 53 ++++++++++++++++++----- src/engine/worker/worker_process.py | 20 ++++++++- tests/unit/test_remote_vlm_worker_unit.py | 42 ++++++++++++++++-- 5 files changed, 117 insertions(+), 16 deletions(-) diff --git a/docs/worker-processes.md b/docs/worker-processes.md index 4dd9313c..4816cf02 100644 --- a/docs/worker-processes.md +++ b/docs/worker-processes.md @@ -6,6 +6,13 @@ supervisor, and the server talks to it over the process's stdin/stdout (one JSON object per line). The worker builds and runs the pipeline; the server process never touches OpenVINO for that model. +A request line can be very large — a VLM chat request carries the whole +conversation (base64 images included) inside its JSON, so lines of tens of +MB are normal. Both sides therefore read the pipe with a line limit of +`PROTOCOL_LINE_LIMIT` (256 MiB, `protocol.py`), not asyncio's 64 KiB +`readline()` default; a line beyond the limit is reported as a clear `FATAL` +rather than killing the reader silently. + ## Why a process boundary openvino_genai pipelines share a **process-wide singleton `ov::Core`**. When diff --git a/src/engine/worker/protocol.py b/src/engine/worker/protocol.py index 2aea056f..c50bf67b 100644 --- a/src/engine/worker/protocol.py +++ b/src/engine/worker/protocol.py @@ -28,6 +28,17 @@ PROTOCOL_VERSION = 1 +# Maximum size of one protocol line, in bytes. +# +# The protocol is one JSON object per line, and a request line can be large: +# a VLM chat request carries the full conversation (including base64 images) +# inside gen_config, so lines of tens of MB are normal. asyncio's +# StreamReader.readline() rejects lines longer than its limit (64 KiB by +# default) with "Separator is found, but chunk is longer than limit", which +# would kill the worker on every real chat request. Every side must read the +# protocol channel with a reader created/configured for this limit. +PROTOCOL_LINE_LIMIT = 256 * 1024 * 1024 + # --- parent -> worker ops --------------------------------------------------- OP_LOAD = "LOAD" # payload: req_id, config (ModelLoadConfig JSON) OP_GENERATE = "GENERATE" # payload: req_id, request_id, gen_config (OVGenAI_GenConfig JSON) diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py index c55b2542..f9afd12d 100644 --- a/src/engine/worker/supervisor.py +++ b/src/engine/worker/supervisor.py @@ -30,7 +30,7 @@ import os import sys import uuid -from typing import Any, Awaitable, Callable, Dict, Optional, Tuple, Union +from typing import Any, AsyncIterator, Awaitable, Callable, Dict, Optional, Tuple, Union from src.engine.worker import protocol as proto from src.server.schemas.registration import ModelLoadConfig @@ -181,6 +181,10 @@ async def _spawn(self) -> None: cwd=os.getcwd(), env=self._build_env(), ) + # Note: the child's stdout/stderr readers keep asyncio's default + # readline limit, so this side never calls readline() on them -- + # see _read_lines (protocol lines can be very large, see + # protocol.PROTOCOL_LINE_LIMIT). self._reader_task = asyncio.create_task( self._read_loop(), name=f"ovworker-read-{self._model_name}" ) @@ -353,14 +357,41 @@ def _close_process_streams(self) -> None: pass # -- protocol session --------------------------------------------------------------- + @staticmethod + async def _read_lines(stream: asyncio.StreamReader) -> AsyncIterator[bytes]: + """Yield newline-terminated lines of any size. + + asyncio's StreamReader.readline() rejects lines longer than the + reader's limit (64 KiB by default) with ValueError, and the readers + the subprocess transport creates internally cannot be configured. + Protocol lines can be far larger (see protocol.PROTOCOL_LINE_LIMIT), + so read in chunks and split on newlines ourselves. read() is the + public, version-stable API. + """ + buffer = b"" + while True: + chunk = await stream.read(1024 * 1024) + if not chunk: + break # EOF + buffer += chunk + while True: + newline = buffer.find(b"\n") + if newline < 0: + break + line, buffer = buffer[: newline + 1], buffer[newline + 1:] + yield line + if len(buffer) > proto.PROTOCOL_LINE_LIMIT: + raise ValueError( + f"line from the worker exceeds {proto.PROTOCOL_LINE_LIMIT} bytes" + ) + if buffer: + yield buffer # final line without a trailing newline + async def _read_loop(self) -> None: proc = self._proc assert proc is not None and proc.stdout is not None try: - while True: - line = await proc.stdout.readline() - if not line: - break + async for line in self._read_lines(proc.stdout): try: msg = proto.decode_response(line) except proto.ProtocolError as e: @@ -370,7 +401,12 @@ async def _read_loop(self) -> None: except asyncio.CancelledError: raise except Exception: - logger.exception(f"[{self._model_name}] worker reader loop crashed") + logger.exception( + f"[{self._model_name}] worker reader loop crashed; killing the worker" + ) + # The child may still be alive (e.g. it sent an oversized line); + # kill it so the proc.wait() below cannot hang. + self._terminate_process() await proc.wait() self._close_process_streams() self._on_process_exited(proc.returncode) @@ -379,10 +415,7 @@ async def _stderr_pump(self) -> None: proc = self._proc assert proc is not None and proc.stderr is not None try: - while True: - line = await proc.stderr.readline() - if not line: - break + async for line in self._read_lines(proc.stderr): text = line.decode("utf-8", errors="replace").rstrip() if text: logger.info(f"[{self._model_name} pid={proc.pid}] {text}") diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py index 2c3daa8c..41afe29c 100644 --- a/src/engine/worker/worker_process.py +++ b/src/engine/worker/worker_process.py @@ -203,11 +203,27 @@ async def send(self, data: bytes) -> None: async def run(self) -> None: loop = asyncio.get_running_loop() - reader = asyncio.StreamReader() + # Protocol lines can be very large (a VLM chat request with base64 + # images is one multi-MB JSON line); the default 64 KiB readline + # limit would raise "Separator is found, but chunk is longer than + # limit" and kill the worker on the first real request. + reader = asyncio.StreamReader(limit=proto.PROTOCOL_LINE_LIMIT) protocol = asyncio.StreamReaderProtocol(reader) await loop.connect_read_pipe(lambda: protocol, sys.stdin) while True: - line = await reader.readline() + try: + line = await reader.readline() + except ValueError as e: + # A line even beyond PROTOCOL_LINE_LIMIT: report it clearly + # and take the process down (the supervisor respawns). + logger.error(f"protocol line from parent exceeds the limit: {e}") + try: + await self.send( + proto.encode_response(proto.MSG_FATAL, error=proto.serialize_error(e)) + ) + except Exception: + pass + os._exit(1) if not line: logger.info("parent closed stdin; exiting") break diff --git a/tests/unit/test_remote_vlm_worker_unit.py b/tests/unit/test_remote_vlm_worker_unit.py index e298c1ab..6d3b9e00 100644 --- a/tests/unit/test_remote_vlm_worker_unit.py +++ b/tests/unit/test_remote_vlm_worker_unit.py @@ -10,11 +10,13 @@ import asyncio import base64 +from typing import Optional import pytest # type: ignore[import] from src.engine.worker import protocol as proto from src.engine.worker.worker_client import ( + RemoteOVGenAI, RemoteOVGenAI_LLM, RemoteOVGenAI_VLM, RemoteOVGenAI_Whisper, @@ -34,11 +36,13 @@ def _load_config(tmp_path, name: str = "stub-vlm", model_type: ModelType = Model ) -def _gen_config(prompt: str, stream: bool = False, request_id: str = None) -> OVGenAI_GenConfig: +def _gen_config( + prompt: str, stream: bool = False, request_id: Optional[str] = None +) -> OVGenAI_GenConfig: return OVGenAI_GenConfig(prompt=prompt, stream=stream, request_id=request_id) -async def _wait_for_state(facade: RemoteOVGenAI_VLM, state: str, timeout: float = 30.0) -> None: +async def _wait_for_state(facade: RemoteOVGenAI, state: str, timeout: float = 30.0) -> None: async def _poll(): while facade.status()["state"] != state: await asyncio.sleep(0.05) @@ -46,7 +50,9 @@ async def _poll(): await asyncio.wait_for(_poll(), timeout) -async def _wait_for_respawn(facade: RemoteOVGenAI_VLM, first_pid: int, timeout: float = 30.0) -> None: +async def _wait_for_respawn( + facade: RemoteOVGenAI, first_pid: Optional[int], timeout: float = 30.0 +) -> None: """Wait until the supervisor has detected the death and the respawned worker is ready again (a fresh PID proves a fresh process/Core).""" @@ -229,7 +235,11 @@ async def register_unload(self, model_name: str, administrative: bool = False) - async def _run(): registry = _FakeRegistry() facade = RemoteOVGenAI_VLM( - config, registry=registry, max_respawns=0, load_timeout=30.0 + # _FakeRegistry duck-types ModelRegistry for this test. + config, + registry=registry, # pyright: ignore[reportArgumentType] + max_respawns=0, + load_timeout=30.0, ) await facade.load_model(config) @@ -458,6 +468,30 @@ async def _run(): asyncio.run(_run()) +def test_large_request_line_survives_the_pipe(tmp_path, monkeypatch) -> None: + """Regression: real goose requests are ~60 KB+ (system prompt + tool + schemas; base64 images make them multi-MB), which exceeds asyncio's + default 64 KiB readline limit. A protocol line far beyond 64 KiB must + not kill the worker.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, name="stub-whisper", model_type=ModelType.WHISPER) + + async def _run(): + facade = RemoteOVGenAI_Whisper(config, load_timeout=30.0) + await facade.load_model(config) + # ~2.7 MB of payload in one protocol line (well past the old 64 KiB + # default, far below the 256 MiB protocol limit). + big_audio = base64.b64encode(b"A" * (2 * 1024 * 1024)).decode("ascii") + items = await _drain(facade, OVGenAI_WhisperGenConfig(audio_base64=big_audio)) + assert items[1] == "stub transcript" + # The worker is still alive and serving after the oversized line. + items = await _drain(facade, _whisper_config("small again")) + assert items[1] == "stub transcript" + await facade._supervisor.unload() + + asyncio.run(_run()) + + def test_registry_end_to_end_with_remote_llm_and_whisper(tmp_path, monkeypatch) -> None: """Full path for LLM + Whisper: register_load -> facade -> worker process -> WorkerRegistry.generate / transcribe_whisper, including the policy From e5085acaec9122d40cc487494eab9c51c8026135 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Wed, 23 Sep 2026 13:12:38 +0200 Subject: [PATCH 06/16] [#178] Add per-model worker_line_limit override (openarc add --worker-line-limit,--wll) --- docs/commands.md | 2 +- docs/worker-processes.md | 8 +- src/cli/groups/add.py | 34 +++++- src/engine/worker/supervisor.py | 26 +++-- src/engine/worker/worker_process.py | 26 ++++- src/server/schemas/registration.py | 22 ++++ tests/unit/test_cli_add_unit.py | 120 ++++++++++++++++++++++ tests/unit/test_remote_vlm_worker_unit.py | 48 ++++++++- tests/unit/test_worker_protocol_unit.py | 26 +++++ 9 files changed, 298 insertions(+), 14 deletions(-) create mode 100644 tests/unit/test_cli_add_unit.py diff --git a/docs/commands.md b/docs/commands.md index 634bf76b..a7ce10ce 100644 --- a/docs/commands.md +++ b/docs/commands.md @@ -7,7 +7,7 @@ icon: lucide/terminal After installation run ```openarc --help``` to see focused usage documentation inside the openarc command line tool. -This page contains example commands to help you choose models and configure OpenArc. +This page contains example commands to help you choose models and configure OpenArc. === "add" diff --git a/docs/worker-processes.md b/docs/worker-processes.md index 4816cf02..7337a8ed 100644 --- a/docs/worker-processes.md +++ b/docs/worker-processes.md @@ -11,7 +11,13 @@ conversation (base64 images included) inside its JSON, so lines of tens of MB are normal. Both sides therefore read the pipe with a line limit of `PROTOCOL_LINE_LIMIT` (256 MiB, `protocol.py`), not asyncio's 64 KiB `readline()` default; a line beyond the limit is reported as a clear `FATAL` -rather than killing the reader silently. +rather than killing the reader silently. The limit is per-model and can be +overridden with `worker_line_limit` in the model config (`openarc add +--worker-line-limit 256M`), in bytes or with a K/M/G suffix, minimum 64 KiB. +It bounds the IPC memory a single request can use; requests with larger +payloads fail with a clear error (the worker respawns). Because it is an IPC +setting rather than a compilation setting, changing it never invalidates the +compiled-model cache. ## Why a process boundary diff --git a/src/cli/groups/add.py b/src/cli/groups/add.py index 6dd5859f..f207c812 100644 --- a/src/cli/groups/add.py +++ b/src/cli/groups/add.py @@ -4,6 +4,7 @@ import json from pathlib import Path from typing import NoReturn +import re import click @@ -21,6 +22,18 @@ ) from ..utils import validate_model_path +_SIZE_RE = re.compile(r"^\s*(\d+(?:\.\d+)?)\s*([KMGT])?i?B?\s*$", re.IGNORECASE) +_SIZE_MULTIPLIERS = {"": 1, "K": 1024, "M": 1024**2, "G": 1024**3, "T": 1024**4} + + +def _parse_size_bytes(value: str) -> int: + """Parse a size like '524288', '512K', '256MiB', '1G' into bytes.""" + match = _SIZE_RE.match(value) + if not match: + raise ValueError(f"unrecognized size {value!r}") + number, suffix = match.groups() + return int(float(number) * _SIZE_MULTIPLIERS[(suffix or "").upper()]) + class ContextWindowType(click.ParamType): """``--context-window`` accepts a positive integer (tokens) or ``auto``. @@ -121,9 +134,13 @@ def _fail(extra: str = "") -> NoReturn: "or a positive integer to advertise that value as-is. The context window should not be " "larger than the model's max_position_embeddings value, as this can cause undesired runtime " "behavior.") +@click.option('--worker-line-limit', '--wll', + required=False, + default=None, + help='Maximum size of one line on the IPC pipe to this model\'s inference worker (ovgenai only). Bytes, or K/M/G suffix (e.g. 512K, 256M, 1G). Default 256 MiB. Requests with larger payloads fail with a clear error; lowering it bounds IPC memory.') @config_options @click.pass_context -def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, cache_dir, draft_model_path, draft_device, num_assistant_tokens, assistant_confidence_threshold, tool_call_parser, context_window, **config_values): +def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, cache_dir, draft_model_path, draft_device, num_assistant_tokens, assistant_confidence_threshold, tool_call_parser, context_window, worker_line_limit, **config_values): """- Add a model configuration to the config file. \b @@ -213,6 +230,20 @@ def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, if context_window is not None: entry["load_config"]["context_window"] = context_window + limit_bytes: int | None = None + if worker_line_limit is not None: + try: + limit_bytes = _parse_size_bytes(worker_line_limit) + except ValueError as e: + console.print(f"[red]Error parsing --worker-line-limit:[/red] {e}") + console.print('[yellow]Examples: \'268435456\', \'512K\', \'256M\', \'1G\'[/yellow]') + ctx.exit(1) + if limit_bytes is not None: + if limit_bytes < 65536: + console.print(f"[red]Error: --worker-line-limit must be at least 65536 bytes (64 KiB), got {limit_bytes}.[/red]") + ctx.exit(1) + entry["load_config"]["worker_line_limit"] = limit_bytes + ctx.obj.server_config.save_model_entry(model_name, entry) console.print(f"[green]Model configuration saved:[/green] {model_name}") console.print(f"[dim]Use 'openarc load {model_name}' to load this model.[/dim]") @@ -235,6 +266,7 @@ def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, "assistant_confidence_threshold", "tool_call_parser", "context_window", + "worker_line_limit", ] # One help panel per config.yaml key, keyed by the command path rich_click diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py index f9afd12d..934de583 100644 --- a/src/engine/worker/supervisor.py +++ b/src/engine/worker/supervisor.py @@ -100,6 +100,7 @@ def __init__( self._closed = False self._respawns = 0 self._load_config: Optional[ModelLoadConfig] = None + self._line_limit = proto.PROTOCOL_LINE_LIMIT # -- introspection -------------------------------------------------------- @property @@ -131,6 +132,11 @@ async def start(self, load_config: ModelLoadConfig, *, load_timeout: Optional[fl if self._state not in (self.STATE_NOT_STARTED, self.STATE_DEAD): raise RuntimeError(f"supervisor is already running (state={self._state})") self._load_config = load_config + self._line_limit = ( + load_config.worker_line_limit + if load_config.worker_line_limit is not None + else proto.PROTOCOL_LINE_LIMIT + ) self._respawns = 0 self._closed = False timeout = self._load_timeout if load_timeout is None else load_timeout @@ -168,6 +174,11 @@ def _build_env(self) -> Dict[str, str]: if cwd not in paths: paths.insert(0, cwd) env["PYTHONPATH"] = os.pathsep.join(paths) + # The child sizes its stdin reader with this limit BEFORE the LOAD + # command arrives (the pipe reader is created at startup), so the + # per-model worker_line_limit travels in the environment, not the + # protocol. + env["OPENARC_WORKER_LINE_LIMIT"] = str(self._line_limit) return env async def _spawn(self) -> None: @@ -357,16 +368,15 @@ def _close_process_streams(self) -> None: pass # -- protocol session --------------------------------------------------------------- - @staticmethod - async def _read_lines(stream: asyncio.StreamReader) -> AsyncIterator[bytes]: - """Yield newline-terminated lines of any size. + async def _read_lines(self, stream: asyncio.StreamReader) -> AsyncIterator[bytes]: + """Yield newline-terminated lines of any size up to self._line_limit. asyncio's StreamReader.readline() rejects lines longer than the reader's limit (64 KiB by default) with ValueError, and the readers the subprocess transport creates internally cannot be configured. - Protocol lines can be far larger (see protocol.PROTOCOL_LINE_LIMIT), - so read in chunks and split on newlines ourselves. read() is the - public, version-stable API. + Protocol lines can be far larger (see protocol.PROTOCOL_LINE_LIMIT + and ModelLoadConfig.worker_line_limit), so read in chunks and split + on newlines ourselves. read() is the public, version-stable API. """ buffer = b"" while True: @@ -380,9 +390,9 @@ async def _read_lines(stream: asyncio.StreamReader) -> AsyncIterator[bytes]: break line, buffer = buffer[: newline + 1], buffer[newline + 1:] yield line - if len(buffer) > proto.PROTOCOL_LINE_LIMIT: + if len(buffer) > self._line_limit: raise ValueError( - f"line from the worker exceeds {proto.PROTOCOL_LINE_LIMIT} bytes" + f"line from the worker exceeds {self._line_limit} bytes" ) if buffer: yield buffer # final line without a trailing newline diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py index 41afe29c..02758de5 100644 --- a/src/engine/worker/worker_process.py +++ b/src/engine/worker/worker_process.py @@ -82,6 +82,26 @@ def _configure_logging() -> None: _STUB_ON = ("1", "true", "yes", "on") +def _worker_line_limit() -> int: + """The IPC line limit (bytes) this worker's stdin reader accepts. + + The supervisor exports it in the environment at spawn time, because the + stdin reader is created before the LOAD command (which carries the model + config) arrives. It reflects the model's ``worker_line_limit`` setting, + or the protocol default when the model does not override it. + """ + raw = os.environ.get("OPENARC_WORKER_LINE_LIMIT", "").strip() + if not raw: + return proto.PROTOCOL_LINE_LIMIT + try: + return int(raw) + except ValueError: + logger.warning( + f"invalid OPENARC_WORKER_LINE_LIMIT {raw!r}; using the protocol default" + ) + return proto.PROTOCOL_LINE_LIMIT + + class _StubModel: """ Test double for the OVGenAI models (VLM/LLM/Whisper), selected by @@ -206,8 +226,10 @@ async def run(self) -> None: # Protocol lines can be very large (a VLM chat request with base64 # images is one multi-MB JSON line); the default 64 KiB readline # limit would raise "Separator is found, but chunk is longer than - # limit" and kill the worker on the first real request. - reader = asyncio.StreamReader(limit=proto.PROTOCOL_LINE_LIMIT) + # limit" and kill the worker on the first real request. The limit + # itself is per-model (see ModelLoadConfig.worker_line_limit, + # exported by the supervisor as OPENARC_WORKER_LINE_LIMIT). + reader = asyncio.StreamReader(limit=_worker_line_limit()) protocol = asyncio.StreamReaderProtocol(reader) await loop.connect_read_pipe(lambda: protocol, sys.stdin) while True: diff --git a/src/server/schemas/registration.py b/src/server/schemas/registration.py index 09d97839..e1e0a506 100644 --- a/src/server/schemas/registration.py +++ b/src/server/schemas/registration.py @@ -156,6 +156,28 @@ class ModelLoadConfig(BaseModel): for multimodal models, inside text_config / language_config / ...). """, ) + worker_line_limit: Optional[int] = Field( + default=None, + ge=65536, + description=""" + Maximum size, in bytes, of one line on the IPC pipe between the server + and this model's inference worker subprocess (ovgenai models only; + ignored by in-process engines). + + A request whose JSON line exceeds the limit fails with a clear error + (the worker reports FATAL and the supervisor respawns it). When unset, + the protocol default of 256 MiB applies, which covers arbitrarily long + text conversations, dozens of images, and hours of audio. Lower it to + bound IPC memory on small machines or to reject oversized payloads; + raise it for very large single requests. + + This is an IPC setting, not a compilation setting: changing it never + triggers a recompile or invalidates the OpenVINO model cache. It is + exported to this model's inference worker as the + OPENARC_WORKER_LINE_LIMIT environment variable and read at worker start, + so an override applies on the next worker (re)start instead. + """, + ) # --- Model-level request defaults, authored in config.yaml --- # Each entry is a plain dict of only the keys the author wrote, keyed by diff --git a/tests/unit/test_cli_add_unit.py b/tests/unit/test_cli_add_unit.py new file mode 100644 index 00000000..3c7c0c50 --- /dev/null +++ b/tests/unit/test_cli_add_unit.py @@ -0,0 +1,120 @@ +import yaml + +from click.testing import CliRunner + +from src.cli import cli + + +def _model_dir(tmp_path): + model_dir = tmp_path / "model" + model_dir.mkdir() + (model_dir / "openvino_model.xml").write_text("", encoding="utf-8") + (model_dir / "openvino_model.bin").write_bytes(b"bin") + return model_dir + + +def test_add_help_omits_vlm_type_option() -> None: + result = CliRunner().invoke(cli, ["add", "--help"]) + + assert result.exit_code == 0 + assert "--vlm-type" not in result.output + assert "--vt" not in result.output + + +def _invoke_add(config_file, model_dir, *extra): + from click.testing import CliRunner + + return CliRunner().invoke( + cli, + [ + "add", + "--model-name", + "limit-model", + "--model-path", + str(model_dir), + "--engine", + "ovgenai", + "--model-type", + "llm", + "--device", + "CPU", + *extra, + ], + env={"OPENARC_CONFIG_FILE": str(config_file)}, + ) + + +def test_add_worker_line_limit_with_suffix(tmp_path) -> None: + config_file = tmp_path / "openarc_config.json" + model_dir = _model_dir(tmp_path) + + result = _invoke_add( + config_file, model_dir, "--worker-line-limit", "512K" + ) + assert result.exit_code == 0, result.output + config = yaml.safe_load(config_file.read_text(encoding="utf-8")) + assert config["models"]["limit-model"]["load_config"]["worker_line_limit"] == 512 * 1024 + + +def test_add_worker_line_limit_suffix_variants_and_plain_bytes(tmp_path) -> None: + config_file = tmp_path / "openarc_config.json" + model_dir = _model_dir(tmp_path) + + for value, expected in [ + ("256MiB", 256 * 1024**2), + ("1g", 1024**3), + ("131072", 131072), + ]: + result = _invoke_add(config_file, model_dir, "--worker-line-limit", value) + assert result.exit_code == 0, result.output + config = yaml.safe_load(config_file.read_text(encoding="utf-8")) + assert config["models"]["limit-model"]["load_config"]["worker_line_limit"] == expected + + +def test_add_worker_line_limit_rejects_invalid_and_too_small(tmp_path) -> None: + config_file = tmp_path / "openarc_config.json" + model_dir = _model_dir(tmp_path) + + for value in ["abc", "12X", "1K"]: # 1K = 1024 < 64 KiB floor + result = _invoke_add(config_file, model_dir, "--worker-line-limit", value) + assert result.exit_code == 1 + assert "worker-line-limit" in result.output + assert not config_file.exists() + + +def test_add_omits_worker_line_limit_when_unspecified(tmp_path) -> None: + config_file = tmp_path / "openarc_config.json" + model_dir = _model_dir(tmp_path) + + result = _invoke_add(config_file, model_dir) + assert result.exit_code == 0, result.output + config = yaml.safe_load(config_file.read_text(encoding="utf-8")) + assert "worker_line_limit" not in config["models"]["limit-model"]["load_config"] + + +def test_add_does_not_save_vlm_type(tmp_path) -> None: + config_file = tmp_path / "openarc_config.json" + model_dir = _model_dir(tmp_path) + + result = CliRunner().invoke( + cli, + [ + "add", + "--model-name", + "test-vlm", + "--model-path", + str(model_dir), + "--engine", + "ovgenai", + "--model-type", + "vlm", + "--device", + "CPU", + ], + env={"OPENARC_CONFIG_FILE": str(config_file)}, + ) + + assert result.exit_code == 0 + config = yaml.safe_load(config_file.read_text(encoding="utf-8")) + model_config = config["models"]["test-vlm"]["load_config"] + assert "vlm_type" not in model_config diff --git a/tests/unit/test_remote_vlm_worker_unit.py b/tests/unit/test_remote_vlm_worker_unit.py index 6d3b9e00..22a25de8 100644 --- a/tests/unit/test_remote_vlm_worker_unit.py +++ b/tests/unit/test_remote_vlm_worker_unit.py @@ -26,13 +26,19 @@ from src.server.schemas.registration import EngineType, ModelLoadConfig, ModelType -def _load_config(tmp_path, name: str = "stub-vlm", model_type: ModelType = ModelType.VLM) -> ModelLoadConfig: +def _load_config( + tmp_path, + name: str = "stub-vlm", + model_type: ModelType = ModelType.VLM, + worker_line_limit: Optional[int] = None, +) -> ModelLoadConfig: return ModelLoadConfig( model_path=str(tmp_path), model_name=name, model_type=model_type, engine=EngineType.OV_GENAI, device="CPU", + worker_line_limit=worker_line_limit, ) @@ -492,6 +498,46 @@ async def _run(): asyncio.run(_run()) +def test_worker_line_limit_override_is_enforced(tmp_path, monkeypatch) -> None: + """A per-model worker_line_limit lower than the 256 MiB default must + actually bound the pipe: a request whose line exceeds the (lowered) limit + kills the worker (which then respawns), whereas the same request succeeds + under the default limit (see test_large_request_line_survives_the_pipe).""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + limit = 65536 # the schema minimum (64 KiB) + config = _load_config( + tmp_path, + name="stub-whisper", + model_type=ModelType.WHISPER, + worker_line_limit=limit, + ) + + async def _run(): + facade = RemoteOVGenAI_Whisper(config, load_timeout=30.0) + await facade.load_model(config) + first_pid = facade.worker_pid + + # The child must have received the lowered limit in its environment. + assert facade._supervisor._build_env()["OPENARC_WORKER_LINE_LIMIT"] == str(limit) + + # A payload making the request line exceed 64 KiB must fail now. The + # worker either reports FATAL on the oversized line or the parent's + # write to the dying child fails -- both surface as + # RemoteWorkerDeadError. + big_audio = base64.b64encode(b"A" * (96 * 1024)).decode("ascii") + with pytest.raises(proto.RemoteWorkerDeadError): + await _drain(facade, OVGenAI_WhisperGenConfig(audio_base64=big_audio)) + + # The failure was a clean worker death, not a wedged session: the + # supervisor respawns and serves a small request again. + await _wait_for_respawn(facade, first_pid) + items = await _drain(facade, _whisper_config("small again")) + assert items[1] == "stub transcript" + await facade._supervisor.unload() + + asyncio.run(_run()) + + def test_registry_end_to_end_with_remote_llm_and_whisper(tmp_path, monkeypatch) -> None: """Full path for LLM + Whisper: register_load -> facade -> worker process -> WorkerRegistry.generate / transcribe_whisper, including the policy diff --git a/tests/unit/test_worker_protocol_unit.py b/tests/unit/test_worker_protocol_unit.py index 798ca6d8..15fa3a33 100644 --- a/tests/unit/test_worker_protocol_unit.py +++ b/tests/unit/test_worker_protocol_unit.py @@ -119,3 +119,29 @@ def test_gen_config_chat_shape_roundtrips() -> None: assert restored.prompt is None assert restored.input_ids is None assert restored.messages == [{"role": "user", "content": "hi"}] + + +def test_model_load_config_worker_line_limit_validation() -> None: + from src.server.schemas.registration import ( + EngineType, + ModelLoadConfig, + ModelType, + ) + + def _cfg(**kwargs) -> ModelLoadConfig: + return ModelLoadConfig( + model_path="/models/mock", + model_name="limit-model", + model_type=ModelType.LLM, + engine=EngineType.OV_GENAI, + device="CPU", + **kwargs, + ) + + assert _cfg().worker_line_limit is None + assert _cfg(worker_line_limit=65536).worker_line_limit == 65536 + assert _cfg(worker_line_limit=2 * 1024**3).worker_line_limit == 2 * 1024**3 + # Below the 64 KiB floor is rejected: even the smallest real request + # (a ~60 KB goose prompt) could never get through. + with pytest.raises(ValueError): + _cfg(worker_line_limit=4096) From 0e4d93095846bc0c352a06f7d2aed8a3503fa54d Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Wed, 23 Sep 2026 19:37:09 +0200 Subject: [PATCH 07/16] [#178] Run OpenVINO Kokoro/ASR/TTS models in supervised worker subprocesses. MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Stage 3 implementation: openvino only models on worker subprocess. New package src/engine/worker/plain/ — built on inheritance from the stage 1–2 machinery: protocol.py: re-exports the shared framing byte-identically; adds OP_RUN (→ one MSG_RESULT dict) and OP_RUN_STREAM (→ MSG_ITEM per audio chunk, then MSG_DONE). Audio crosses the pipe as base64 float32 samples supervisor.py: PlainWorkerSupervisor(WorkerSupervisor) — 3 lines; only the child entry point differs, the whole lifecycle/watchdog/respawn ladder is inherited worker_process.py: _PlainWorker(_Worker) inherits the stdin loop, load flow, gen-config validation, FATAL/ERROR ladder, cancel, shutdown; overrides only model construction, the gen-config contracts, and the RUN/RUN_STREAM ops (Qwen3-TTS's blocking sync generate_stream is advanced in a worker thread so the event loop stays free) worker_client.py: RemoteOV_Kokoro / RemoteOVQwen3ASR / RemoteOVQwen3TTS inherit a new RemoteEngine base extracted from RemoteOVGenAI — same public surface as the real engines (chunk_forward_pass yields torch-tensor StreamChunks, transcribe → (text, metrics, segments), generate → (wav, sr)) model_registry.create_model_instance now picks the facade by (engine, model_type) before instantiating — important because e.g. OVQwen3ASR.__init__ reads config.json and creates an ov.Core, which must not run in the server process. worker_registry dispatches Kokoro/ASR/TTS packets to the facades; infer_qwen3_tts_stream handles both the sync (in-process) and async (worker) generator shapes, so stream=True on /audio/speech is unchanged. --- docs/worker-processes.md | 66 ++- src/engine/worker/__init__.py | 16 +- src/engine/worker/plain/__init__.py | 39 ++ src/engine/worker/plain/protocol.py | 96 +++++ src/engine/worker/plain/supervisor.py | 17 + src/engine/worker/plain/worker_client.py | 124 ++++++ src/engine/worker/plain/worker_process.py | 373 +++++++++++++++++ src/engine/worker/protocol.py | 1 + src/engine/worker/supervisor.py | 22 +- src/engine/worker/worker_client.py | 54 ++- src/engine/worker/worker_process.py | 88 ++-- src/server/model_registry.py | 88 ++-- src/server/worker_registry.py | 58 ++- tests/unit/test_worker_plain_protocol_unit.py | 101 +++++ tests/unit/test_worker_plain_unit.py | 386 ++++++++++++++++++ 15 files changed, 1416 insertions(+), 113 deletions(-) create mode 100644 src/engine/worker/plain/__init__.py create mode 100644 src/engine/worker/plain/protocol.py create mode 100644 src/engine/worker/plain/supervisor.py create mode 100644 src/engine/worker/plain/worker_client.py create mode 100644 src/engine/worker/plain/worker_process.py create mode 100644 tests/unit/test_worker_plain_protocol_unit.py create mode 100644 tests/unit/test_worker_plain_unit.py diff --git a/docs/worker-processes.md b/docs/worker-processes.md index 7337a8ed..f28b9e91 100644 --- a/docs/worker-processes.md +++ b/docs/worker-processes.md @@ -1,10 +1,24 @@ # Out-of-Process Inference Workers -OpenVINO GenAI models (VLM, LLM, Whisper) are not loaded in the server -process. Each one runs in a **dedicated worker subprocess** owned by a -supervisor, and the server talks to it over the process's stdin/stdout (one -JSON object per line). The worker builds and runs the pipeline; the server -process never touches OpenVINO for that model. +OpenVINO models are not loaded in the server process. Each one runs in a +**dedicated worker subprocess** owned by a supervisor, and the server talks +to it over the process's stdin/stdout (one JSON object per line). The worker +builds and runs the pipeline; the server process never touches OpenVINO for +that model. + +Two model families use two protocol dialects over the same byte-identical +framing (`src/engine/worker/protocol.py`, extended by +`src/engine/worker/plain/protocol.py`): + +- **OpenVINO GenAI** (VLM, LLM, Whisper) — `OP_GENERATE` / `OP_TRANSCRIBE` + stream tokens and segments. The process boundary exists because a wedged + GPU plugin poisons the process-wide `ov::Core` and only a new process + recovers (see below). +- **Plain OpenVINO** (Kokoro TTS, Qwen3-ASR, Qwen3-TTS) — `OP_RUN` (one + result) and `OP_RUN_STREAM` (audio chunks, base64 float32 samples). The + process boundary exists for **segfault isolation**: these engines crash + natively, and a crash must take down only the worker, which the supervisor + respawns — not the server. A request line can be very large — a VLM chat request carries the whole conversation (base64 images included) inside its JSON, so lines of tens of @@ -39,6 +53,15 @@ get a clean Core is a new process. That is why: A PING watchdog (every 30 s, 5 s timeout) kills a worker that stops responding, so a wedged-but-alive process is recovered the same way. +The plain-openvino engines (Kokoro, Qwen3-ASR, Qwen3-TTS) do not use +openvino_genai at all; they compile `ov::Model`s directly with `ov.Core`. +They do not wedge the Core — they **segfault** (native crashes inside the +OpenVINO/torch inference paths). A process boundary turns such a crash from +a server death into a worker death: the supervisor sees the dead process, +respawns, and the model comes back; the server process itself never crashes. +Audio crosses the pipe as base64 float32 sample arrays; WAV encoding stays +in the server, so the public response shapes are unchanged. + ## What you will see in `openarc.log` - `spawning inference worker: ...` / `inference worker ready (pid=...)` @@ -53,6 +76,7 @@ responding, so a wedged-but-alive process is recovered the same way. | --- | --- | | `OPENARC_OVGENAI_WORKER=0` | master switch: disable worker processes for all OpenVINO GenAI models (VLM/LLM/Whisper) and restore the historical in-process behaviour | | `OPENARC_VLM_WORKER=0` | additionally disable the worker process for VLMs only (stage-1 escape hatch) | +| `OPENARC_OPENVINO_WORKER=0` | master switch: disable worker processes for the plain-openvino engines (Kokoro, Qwen3-ASR, Qwen3-TTS) and restore the historical in-process behaviour | Everything else (respawn budget, watchdog timings, unload timeouts) is configurable on `WorkerSupervisor` for now and will get config-file support in @@ -63,16 +87,22 @@ a later stage. | file | role | | --- | --- | | `src/engine/worker/protocol.py` | wire protocol, error types, non-recoverable-error classification | -| `src/engine/worker/supervisor.py` | process lifecycle, protocol session, respawn + watchdog | -| `src/engine/worker/worker_process.py` | child entry point; builds the pipeline inside the worker | -| `src/engine/worker/worker_client.py` | `RemoteOVGenAI_VLM` facade (same surface as `OVGenAI_VLM`) | -| `src/server/model_registry.py` | the factory wraps `OVGenAI_VLM` / `OVGenAI_LLM` / `OVGenAI_Whisper` in a facade | -| `src/server/worker_registry.py` | dispatches VLM/LLM/Whisper packets to the facades; a *worker death* does not trigger a registry unload (the supervisor owns recovery) | - -## Scope (stages 1–2 done) - -Stages 1 and 2 are complete: OpenVINO GenAI **VLM, LLM, and Whisper** run -out-of-process. The plain-openvino engines (Kokoro, Qwen3-ASR, Qwen3-TTS) and -the optimum engines (embedding, rerank) still load in-process and will join -the worker pool in a later stage. `openarc bench` also still builds its -pipeline in-process. +| `src/engine/worker/supervisor.py` | process lifecycle, protocol session, respawn + watchdog (inherited by both supervisors) | +| `src/engine/worker/worker_process.py` | GenAI child entry point; builds the pipeline inside the worker (base class for the plain worker) | +| `src/engine/worker/worker_client.py` | `RemoteEngine` base + `RemoteOVGenAI_*` facades (same surface as the engines) | +| `src/engine/worker/plain/protocol.py` | plain-OpenVINO dialect: re-exports the shared framing byte-identically, adds `OP_RUN` / `OP_RUN_STREAM` | +| `src/engine/worker/plain/supervisor.py` | `PlainWorkerSupervisor` — the same lifecycle, plain child entry point | +| `src/engine/worker/plain/worker_process.py` | plain child entry point; builds Kokoro / Qwen3-ASR / Qwen3-TTS in the worker | +| `src/engine/worker/plain/worker_client.py` | `RemoteOV_Kokoro` / `RemoteOVQwen3ASR` / `RemoteOVQwen3TTS` facades (same surface as the engines) | +| `src/server/model_registry.py` | the factory picks the facade by `(engine, model_type)` *before* instantiating (engine constructors have side effects) and wraps GenAI and plain-openvino engines | +| `src/server/worker_registry.py` | dispatches VLM/LLM/Whisper/Kokoro/ASR/TTS packets to the facades; a *worker death* does not trigger a registry unload (the supervisor owns recovery) | + +## Scope (stages 1–3 done) + +Stages 1–3 are complete: OpenVINO GenAI **VLM, LLM, and Whisper** and the +plain-openvino engines **Kokoro TTS, Qwen3-ASR, and Qwen3-TTS** (all three +voice modes) run out-of-process. The optimum engines (embedding, rerank) +still load in-process and join the worker pool in stage 4 — their call shape +returns tuples rather than streaming generators, which the single-result +`OP_RUN` op already supports. `openarc bench` also still builds its pipeline +in-process. diff --git a/src/engine/worker/__init__.py b/src/engine/worker/__init__.py index b9175d4c..2546548a 100644 --- a/src/engine/worker/__init__.py +++ b/src/engine/worker/__init__.py @@ -1,9 +1,19 @@ -"""Out-of-process inference worker machinery (stage 1: OpenVINO GenAI VLM). +"""Out-of-process inference worker machinery. + +Stage 1+2: OpenVINO GenAI (VLM/LLM/Whisper) -- token-streaming protocol. +Stage 3: plain OpenVINO (Kokoro/Qwen3-ASR/Qwen3-TTS) -- single-result and +audio-streaming protocol (src.engine.worker.plain). The main server process never builds an OpenVINO pipeline for these models; each one runs in a supervised child process (see docs/worker-processes.md). """ +from src.engine.worker.plain import ( + PlainWorkerSupervisor, + RemoteOV_Kokoro, + RemoteOVQwen3ASR, + RemoteOVQwen3TTS, +) from src.engine.worker.protocol import ( PROTOCOL_VERSION, ProtocolError, @@ -35,4 +45,8 @@ "RemoteOVGenAI_VLM", "RemoteOVGenAI_LLM", "RemoteOVGenAI_Whisper", + "PlainWorkerSupervisor", + "RemoteOV_Kokoro", + "RemoteOVQwen3ASR", + "RemoteOVQwen3TTS", ] diff --git a/src/engine/worker/plain/__init__.py b/src/engine/worker/plain/__init__.py new file mode 100644 index 00000000..94d17984 --- /dev/null +++ b/src/engine/worker/plain/__init__.py @@ -0,0 +1,39 @@ +""" +Plain-OpenVINO inference worker package (stage 3). + +Kokoro TTS, Qwen3-ASR, and Qwen3-TTS run in supervised worker subprocesses +for segfault isolation. The package contains: + + * protocol -- the plain-OpenVINO wire protocol (RUN / RUN_STREAM) + * supervisor -- PlainWorkerSupervisor (GenAI supervisor + entry point) + * worker_process -- the CHILD entry point (never imported by the server) + * worker_client -- the server-side facades (RemoteOV_Kokoro, ...) +""" + +from src.engine.worker.plain.protocol import ( + OP_RUN, + OP_RUN_STREAM, + MSG_RESULT, + RemoteWorkerDeadError, + RemoteWorkerError, + RemoteWorkerLoadError, +) +from src.engine.worker.plain.supervisor import PlainWorkerSupervisor +from src.engine.worker.plain.worker_client import ( + RemoteOV_Kokoro, + RemoteOVQwen3ASR, + RemoteOVQwen3TTS, +) + +__all__ = [ + "OP_RUN", + "OP_RUN_STREAM", + "MSG_RESULT", + "RemoteWorkerDeadError", + "RemoteWorkerError", + "RemoteWorkerLoadError", + "PlainWorkerSupervisor", + "RemoteOV_Kokoro", + "RemoteOVQwen3ASR", + "RemoteOVQwen3TTS", +] diff --git a/src/engine/worker/plain/protocol.py b/src/engine/worker/plain/protocol.py new file mode 100644 index 00000000..4e1bcfbf --- /dev/null +++ b/src/engine/worker/plain/protocol.py @@ -0,0 +1,96 @@ +""" +Wire protocol for the plain-OpenVINO inference worker (stage 3): Kokoro TTS, +Qwen3-ASR, and Qwen3-TTS run in supervised worker subprocesses for +SEGFAULT ISOLATION -- a native crash in OpenVINO inference takes down only +the worker process, which the supervisor respawns with a fresh pipeline, +instead of killing the whole server. + +This protocol reuses the shared framing and error types of the GenAI worker +protocol (src.engine.worker.protocol) -- same one-JSON-object-per-line +channel, same line limit, same RemoteWorker* error classes -- and adds the +two request shapes the plain-openvino engines need, which the token-streaming +GenAI protocol never had: + + * RUN -> RESULT single result: an audio array (base64 float32 + samples + sample rate) or a transcription + (text + metrics + segments) + * RUN_STREAM -> ITEM* DONE audio chunk streaming (each ITEM carries a + base64 float32 audio chunk; e.g. Kokoro + per-text-chunk audio, Qwen3-TTS PCM chunks) + +Audio travels as base64-encoded 1-D float32 sample arrays. The worker process +does the inference (the segfault-prone part); the server process keeps the +WAV encoding (infer_kokoro / infer_qwen3_tts), so the public response shapes +are unchanged. +""" + +from __future__ import annotations + +# Shared framing, limits, and error types: one protocol family, so the names +# and bytes come from a single place. +from src.engine.worker.protocol import ( + PROTOCOL_LINE_LIMIT, + PROTOCOL_VERSION, + OP_CANCEL, + OP_LOAD, + OP_PING, + OP_UNLOAD, + MSG_BYE, + MSG_CANCEL_ACK, + MSG_DONE, + MSG_ERROR, + MSG_FATAL, + MSG_ITEM, + MSG_LOAD_ERROR, + MSG_LOAD_OK, + MSG_READY, + MSG_RESULT, + ProtocolError, + RemoteWorkerDeadError, + RemoteWorkerError, + RemoteWorkerLoadError, + decode_request, + decode_response, + encode, + encode_response, + is_non_recoverable_error, + serialize_error, +) + +__all__ = [ + "PROTOCOL_LINE_LIMIT", + "PROTOCOL_VERSION", + "OP_CANCEL", + "OP_LOAD", + "OP_PING", + "OP_UNLOAD", + "MSG_BYE", + "MSG_CANCEL_ACK", + "MSG_DONE", + "MSG_ERROR", + "MSG_FATAL", + "MSG_ITEM", + "MSG_LOAD_ERROR", + "MSG_LOAD_OK", + "MSG_READY", + "MSG_RESULT", + "ProtocolError", + "RemoteWorkerDeadError", + "RemoteWorkerError", + "RemoteWorkerLoadError", + "decode_request", + "decode_response", + "encode", + "encode_response", + "is_non_recoverable_error", + "serialize_error", + "OP_RUN", + "OP_RUN_STREAM", +] + +# --- plain-OpenVINO-specific ops ------------------------------------------------- +# payload: req_id, request_id, gen_config (the engine's gen-config JSON). +# RUN: the worker answers with one MSG_RESULT (a JSON dict). +OP_RUN = "RUN" +# RUN_STREAM: the worker answers with MSG_ITEM per audio chunk, then MSG_DONE. +OP_RUN_STREAM = "RUN_STREAM" diff --git a/src/engine/worker/plain/supervisor.py b/src/engine/worker/plain/supervisor.py new file mode 100644 index 00000000..66c0d812 --- /dev/null +++ b/src/engine/worker/plain/supervisor.py @@ -0,0 +1,17 @@ +""" +Supervisor for the plain-OpenVINO inference workers (stage 3). + +Identical to the GenAI WorkerSupervisor -- same lifecycle, watchdog, +respawn budget, and unload ladder -- except the child it spawns speaks the +plain-OpenVINO worker protocol (src.engine.worker.plain.worker_process). +""" + +from __future__ import annotations + +from src.engine.worker.supervisor import WorkerSupervisor + + +class PlainWorkerSupervisor(WorkerSupervisor): + """WorkerSupervisor for the plain-OpenVINO worker entry point.""" + + WORKER_ENTRY = "src.engine.worker.plain.worker_process" diff --git a/src/engine/worker/plain/worker_client.py b/src/engine/worker/plain/worker_client.py new file mode 100644 index 00000000..9303cf3b --- /dev/null +++ b/src/engine/worker/plain/worker_client.py @@ -0,0 +1,124 @@ +""" +Remote plain-OpenVINO facades (stage 3) -- in-process stand-ins for the +Kokoro / Qwen3-ASR / Qwen3-TTS engines that run in a supervised worker +subprocess, for segfault isolation: a native crash in OpenVINO inference +takes down the worker process, which the supervisor respawns with a fresh +pipeline, while the server process keeps serving. + +Each facade presents the same surface the server calls on the corresponding +in-process class: + + * RemoteOV_Kokoro.chunk_forward_pass -> async gen of .audio chunks + (same as OV_Kokoro) + * RemoteOVQwen3ASR.transcribe -> (text, metrics, segments) + (same as OVQwen3ASR) + * RemoteOVQwen3TTS.generate -> (wav float32 array, sample_rate) + (same as OVQwen3TTS) + * RemoteOVQwen3TTS.generate_stream -> async gen of .audio chunks + (the in-process one is a sync + generator; the registry's + streaming path handles both) + +The worker does the inference (the segfault-prone part) and returns audio as +base64 float32 sample arrays; the server keeps the WAV encoding, so the +public response shapes are unchanged. +""" + +from __future__ import annotations + +import base64 +import logging +from types import SimpleNamespace +from typing import TYPE_CHECKING, Any, AsyncIterator, Dict, List, Tuple + +import numpy as np + +from src.engine.worker import protocol as proto # noqa: F401 (re-exported error types) +from src.engine.worker.plain import protocol as p_proto +from src.engine.worker.plain.supervisor import PlainWorkerSupervisor +from src.engine.worker.worker_client import RemoteEngine +from src.server.schemas.modeling.contract_kokoro import OV_KokoroGenConfig +from src.server.schemas.modeling.contract_qwen3asr import OV_Qwen3ASRGenConfig +from src.server.schemas.modeling.contract_qwen3tts import OV_Qwen3TTSGenConfig +from src.server.schemas.registration import ModelLoadConfig + +if TYPE_CHECKING: + from src.server.model_registry import ModelRegistry + +logger = logging.getLogger(__name__) + + +def _decode_audio_b64(item: Dict[str, Any]) -> np.ndarray: + """Decode a protocol audio item (base64 float32 samples) into a 1-D array.""" + return np.frombuffer(base64.b64decode(item["audio_b64"]), dtype=np.float32) + + +class RemoteOV_Kokoro(RemoteEngine): + """Out-of-process Kokoro TTS (stage 3).""" + + SUPERVISOR_CLS = PlainWorkerSupervisor + + def chunk_forward_pass(self, gen_config: OV_KokoroGenConfig) -> AsyncIterator[Any]: + """Same yield contract as OV_Kokoro.chunk_forward_pass: objects with + .audio (torch tensor), .chunk_text, .chunk_index, .total_chunks.""" + return self._kokoro_stream(gen_config) + + async def _kokoro_stream(self, gen_config: OV_KokoroGenConfig) -> AsyncIterator[Any]: + # torch is imported lazily: the server process has it, but the worker + # package must stay importable without it (worker children, tests). + import torch + + async for item in self._run_stream( + p_proto.OP_RUN_STREAM, gen_config.model_dump_json() + ): + yield SimpleNamespace( + audio=torch.from_numpy(_decode_audio_b64(item)), + chunk_text=item.get("chunk_text", ""), + chunk_index=item.get("chunk_index", 0), + total_chunks=item.get("total_chunks", 0), + ) + + +class RemoteOVQwen3ASR(RemoteEngine): + """Out-of-process Qwen3-ASR (stage 3).""" + + SUPERVISOR_CLS = PlainWorkerSupervisor + + async def transcribe( + self, gen_config: OV_Qwen3ASRGenConfig + ) -> Tuple[str, Dict[str, Any], List[Dict[str, Any]]]: + """Same return contract as OVQwen3ASR.transcribe: + (text, metrics, segments).""" + result = await self._run_single(p_proto.OP_RUN, gen_config.model_dump_json()) + return ( + result.get("text", ""), + result.get("metrics") or {}, + result.get("segments") or [], + ) + + +class RemoteOVQwen3TTS(RemoteEngine): + """Out-of-process Qwen3-TTS (stage 3; all three TTS modes).""" + + SUPERVISOR_CLS = PlainWorkerSupervisor + + async def generate(self, gen_config: OV_Qwen3TTSGenConfig) -> Tuple[np.ndarray, int]: + """Same return contract as OVQwen3TTS.generate: + (wav float32 array, sample_rate).""" + result = await self._run_single(p_proto.OP_RUN, gen_config.model_dump_json()) + return _decode_audio_b64(result), int(result.get("sample_rate", 24000)) + + def generate_stream(self, gen_config: OV_Qwen3TTSGenConfig) -> AsyncIterator[Any]: + """Stream TTS audio chunks; each item has .audio (float32 array). + + Unlike the in-process OVQwen3TTS.generate_stream (a sync generator), + this is an ASYNC generator -- the worker registry's streaming path + handles both shapes. + """ + return self._tts_stream(gen_config) + + async def _tts_stream(self, gen_config: OV_Qwen3TTSGenConfig) -> AsyncIterator[Any]: + async for item in self._run_stream( + p_proto.OP_RUN_STREAM, gen_config.model_dump_json() + ): + yield SimpleNamespace(audio=_decode_audio_b64(item)) diff --git a/src/engine/worker/plain/worker_process.py b/src/engine/worker/plain/worker_process.py new file mode 100644 index 00000000..a5155d24 --- /dev/null +++ b/src/engine/worker/plain/worker_process.py @@ -0,0 +1,373 @@ +""" +Entry point of a plain-OpenVINO inference worker process (stage 3). + +One of these runs per loaded plain-OpenVINO model (Kokoro TTS, Qwen3-ASR, +Qwen3-TTS). Unlike the GenAI workers (which stream text tokens), these +engines produce audio or transcription results, so the protocol adds +single-result (RUN -> RESULT) and audio-streaming (RUN_STREAM -> +ITEM* DONE) runs -- see src.engine.worker.plain.protocol. + +The process boundary here is for SEGFAULT ISOLATION: a native crash in +OpenVINO inference (or in the audio toolchain) takes down only this process; +the supervisor respawns a fresh one with a fresh pipeline, and the server +process keeps serving other models. + +The child inherits the whole protocol loop (stdin reader, load flow, +gen-config validation, FATAL/ERROR ladder, shutdown) from the GenAI worker +(src.engine.worker.worker_process._Worker) and only overrides model +construction, gen-config contracts, and the run ops. +""" + +from __future__ import annotations + +import asyncio +import base64 +import json +import logging +import os +import sys +import time +from types import SimpleNamespace +from typing import Any, AsyncIterator, Dict, Optional + +import numpy as np + +from src.engine.worker import protocol as proto +from src.engine.worker.plain import protocol as p_proto +from src.engine.worker.worker_process import ( + _STUB_ON, + _Worker, + _configure_logging, +) +from src.server.schemas.modeling.contract_kokoro import OV_KokoroGenConfig +from src.server.schemas.modeling.contract_qwen3asr import OV_Qwen3ASRGenConfig +from src.server.schemas.modeling.contract_qwen3tts import ( + OV_Qwen3TTSCustomVoice, + OV_Qwen3TTSGenConfig, + OV_Qwen3TTSVoiceClone, + OV_Qwen3TTSVoiceDesign, +) +from src.server.schemas.registration import ModelLoadConfig, ModelType + +logger = logging.getLogger("openarc.worker.plain") + +# Engines this worker process knows how to run (stage 3). Everything else +# stays in the server process (or, for GenAI, in a GenAI worker). +_WORKER_MODEL_TYPES = ( + ModelType.KOKORO, + ModelType.QWEN3_ASR, + ModelType.QWEN3_TTS_CUSTOM_VOICE, + ModelType.QWEN3_TTS_VOICE_DESIGN, + ModelType.QWEN3_TTS_VOICE_CLONE, +) + +_TTS_TYPES = ( + ModelType.QWEN3_TTS_CUSTOM_VOICE, + ModelType.QWEN3_TTS_VOICE_DESIGN, + ModelType.QWEN3_TTS_VOICE_CLONE, +) + +_GEN_CONFIG_CLASSES = { + ModelType.KOKORO: OV_KokoroGenConfig, + ModelType.QWEN3_ASR: OV_Qwen3ASRGenConfig, + ModelType.QWEN3_TTS_CUSTOM_VOICE: OV_Qwen3TTSCustomVoice, + ModelType.QWEN3_TTS_VOICE_DESIGN: OV_Qwen3TTSVoiceDesign, + ModelType.QWEN3_TTS_VOICE_CLONE: OV_Qwen3TTSVoiceClone, +} + + +def _make_model(load_config: ModelLoadConfig) -> Any: + """Build the model object inside the worker process (real or stub).""" + if load_config.model_type not in _WORKER_MODEL_TYPES: + raise ValueError( + f"model type {load_config.model_type.value!r} is not supported " + f"in the plain-OpenVINO worker process (supported: " + f"{', '.join(t.value for t in _WORKER_MODEL_TYPES)})" + ) + if os.environ.get("OPENARC_WORKER_STUB", "").strip().lower() in _STUB_ON: + return _PlainStubModel(load_config) + # Imported here (and only here) so the stub path -- and unit tests in + # general -- never pull OpenVINO/torch into the process. + if load_config.model_type == ModelType.KOKORO: + from src.engine.openvino.kokoro import OV_Kokoro + + return OV_Kokoro(load_config) + if load_config.model_type == ModelType.QWEN3_ASR: + from src.engine.openvino.qwen3_asr.qwen3_asr import OVQwen3ASR + + return OVQwen3ASR(load_config) + from src.engine.openvino.qwen3_tts.qwen3_tts import OVQwen3TTS + + return OVQwen3TTS(load_config) + + +# --- audio (de)serialization ------------------------------------------------------- +# Audio crosses the pipe as base64-encoded 1-D float32 sample arrays. The +# inference (and any native audio processing) stays in this process; the +# server does the final WAV encoding, so its response shapes are unchanged. + + +def _to_float32_b64(audio: Any) -> tuple: + """Encode 1-D audio (torch tensor or numpy array) as (base64, samples).""" + if hasattr(audio, "detach"): # torch tensor + arr = audio.detach().cpu().numpy() + else: + arr = audio + arr = np.ascontiguousarray(arr, dtype=np.float32).reshape(-1) + return base64.b64encode(arr.tobytes()).decode("ascii"), int(arr.size) + + +# --- per-engine run routines --------------------------------------------------------- + + +async def _kokoro_stream(model: Any, gen_config: Any) -> AsyncIterator[Dict[str, Any]]: + """One protocol item per Kokoro text chunk: audio + chunk metadata.""" + async for chunk in model.chunk_forward_pass(gen_config): + audio_b64, samples = _to_float32_b64(chunk.audio) + yield { + "audio_b64": audio_b64, + "samples": samples, + "chunk_text": getattr(chunk, "chunk_text", ""), + "chunk_index": getattr(chunk, "chunk_index", 0), + "total_chunks": getattr(chunk, "total_chunks", 0), + } + + +async def _asr_single(model: Any, gen_config: Any) -> Dict[str, Any]: + text, metrics, segments = await model.transcribe(gen_config) + return {"text": text, "metrics": metrics, "segments": segments} + + +async def _tts_single(model: Any, gen_config: Any) -> Dict[str, Any]: + wav, sr = await model.generate(gen_config) + audio_b64, samples = _to_float32_b64(wav) + return {"audio_b64": audio_b64, "samples": samples, "sample_rate": int(sr)} + + +async def _tts_stream(model: Any, gen_config: Any) -> AsyncIterator[Dict[str, Any]]: + """Stream Qwen3-TTS chunks; one protocol item per audio chunk. + + generate_stream is a blocking sync generator (the engine runs OpenVINO + inference inside it), so advance it one chunk at a time in a worker + thread; the event loop stays free between chunks. + """ + gen = model.generate_stream(gen_config) + sentinel = object() + while True: + chunk: Any = await asyncio.to_thread(next, gen, sentinel) + if chunk is sentinel: + break + audio_b64, samples = _to_float32_b64(chunk.audio) + yield {"audio_b64": audio_b64, "samples": samples} + + +# --- the worker ----------------------------------------------------------------------- + + +class _PlainWorker(_Worker): + """Plain-OpenVINO protocol loop (stage 3). + + Inherits from the GenAI _Worker: the stdin read loop, load flow, + gen-config validation, FATAL/ERROR ladder, cancel and shutdown are all + shared. This class only adds the model construction, the gen-config + contracts, and the RUN / RUN_STREAM ops. + """ + + def _build_model(self, load_config: ModelLoadConfig) -> Any: + return _make_model(load_config) + + def _gen_config_cls(self) -> Optional[Any]: + if self.model_type is None: + return None + return _GEN_CONFIG_CLASSES.get(self.model_type) + + # -- RUN / RUN_STREAM dispatch ------------------------------------------------- + async def _handle_custom_op(self, msg: Dict[str, Any]) -> None: + op = msg.get("op") + if op == p_proto.OP_RUN: + await self._start_single(msg) + elif op == p_proto.OP_RUN_STREAM: + await self._start_stream(msg) + else: + await super()._handle_custom_op(msg) + + async def _start_single(self, msg: Dict[str, Any]) -> None: + err = await self._check_run_preconditions(msg) + if err is not None: + await self.send(err) + return + self._active_gen = asyncio.create_task( + self._run_single_op(msg), name=f"ovworker-run-{msg['req_id'][:8]}" + ) + + async def _start_stream(self, msg: Dict[str, Any]) -> None: + err = await self._check_run_preconditions(msg) + if err is not None: + await self.send(err) + return + self._active_gen = asyncio.create_task( + self._run_stream_op(msg), name=f"ovworker-stream-{msg['req_id'][:8]}" + ) + + # -- run bodies ------------------------------------------------------------------ + def _single_result(self, model: Any, gen_config: Any) -> Any: + """The coroutine producing the single result for the loaded engine.""" + if self.model_type == ModelType.QWEN3_ASR: + return _asr_single(model, gen_config) + if self.model_type in _TTS_TYPES: + return _tts_single(model, gen_config) + raise ValueError(f"no single-result run for model type {self.model_type!r}") + + def _stream_items(self, model: Any, gen_config: Any) -> AsyncIterator[Dict[str, Any]]: + """The async iterator producing the audio items for the loaded engine.""" + if self.model_type == ModelType.KOKORO: + return _kokoro_stream(model, gen_config) + if self.model_type in _TTS_TYPES: + return _tts_stream(model, gen_config) + raise ValueError(f"no streaming run for model type {self.model_type!r}") + + async def _run_single_op(self, msg: Dict[str, Any]) -> None: + req_id = msg["req_id"] + self._active_request_id = msg.get("request_id") + try: + gen_config = self._validate_gen_config(json.loads(msg["gen_config"])) + result = await self._single_result(self.model, gen_config) + await self.send( + p_proto.encode_response(p_proto.MSG_RESULT, req_id=req_id, result=result) + ) + except asyncio.CancelledError: + raise + except Exception as e: + await self._report_run_error(e, req_id, "run") + finally: + self._active_request_id = None + self._active_gen = None + + async def _run_stream_op(self, msg: Dict[str, Any]) -> None: + req_id = msg["req_id"] + self._active_request_id = msg.get("request_id") + try: + gen_config = self._validate_gen_config(json.loads(msg["gen_config"])) + async for item in self._stream_items(self.model, gen_config): + await self.send(p_proto.encode_response(p_proto.MSG_ITEM, req_id=req_id, item=item)) + await self.send(p_proto.encode_response(p_proto.MSG_DONE, req_id=req_id)) + except asyncio.CancelledError: + raise + except Exception as e: + await self._report_run_error(e, req_id, "run_stream") + finally: + self._active_request_id = None + self._active_gen = None + + +# --- stub ----------------------------------------------------------------------------- + + +class _PlainStubModel: + """ + Test double for the plain-OpenVINO engines (Kokoro/ASR/TTS), selected by + OPENARC_WORKER_STUB=1 so the whole spawn/IPC/respawn machinery can be + exercised in unit tests without OpenVINO, a GPU, or model files. It + mirrors the engine contracts: + + Kokoro: chunk_forward_pass async-yields objects with .audio + (float32 array) + chunk_text/chunk_index/total_chunks + Qwen3-ASR: transcribe -> (text, metrics, segments) + Qwen3-TTS: generate -> (wav float32 array, sample_rate); + generate_stream sync-yields objects with .audio + + Control text (the config `input`, or the base64-decoded audio payload for + ASR) drives behaviour with the same keywords as the GenAI stub: + CRASH -> os._exit(139) + FATAL -> raises a CL_OUT_OF_RESOURCES-looking error (non-recoverable) + RAISE -> recoverable error (mid-stream for the streaming methods) + """ + + _STUB_SR = 24000 + + def __init__(self, load_config: ModelLoadConfig) -> None: + self.load_config = load_config + self.model_type = load_config.model_type + + def load_model(self, loader: ModelLoadConfig) -> None: + if os.environ.get("OPENARC_WORKER_STUB_FAIL_LOAD", "").strip().lower() in _STUB_ON: + raise RuntimeError("stub load failure") + delay = float(os.environ.get("OPENARC_WORKER_STUB_LOAD_DELAY", "0.05")) + if delay > 0: + time.sleep(delay) + + @staticmethod + def _control_text(gen_config: Any) -> str: + """The control text: the config `input` for Kokoro/TTS, the + (text-encoded) base64 audio payload for ASR.""" + audio = getattr(gen_config, "audio_base64", None) + if audio: + try: + return base64.b64decode(audio).decode("utf-8", "replace") + except Exception: + return "" + return getattr(gen_config, "input", "") or "" + + def _check_fatal(self, text: str) -> None: + if "CRASH" in text: + os._exit(139) + if "FATAL" in text: + raise RuntimeError("CL_OUT_OF_RESOURCES (stub)") + + # -- Kokoro --------------------------------------------------------------- + async def chunk_forward_pass(self, gen_config: OV_KokoroGenConfig) -> Any: + text = self._control_text(gen_config) + self._check_fatal(text) + for i in range(2): + yield SimpleNamespace( + audio=np.array([0.1, 0.2, 0.3], dtype=np.float32), + chunk_text=f"stub chunk {i}", + chunk_index=i, + total_chunks=2, + ) + if i == 0 and "RAISE" in text: + raise RuntimeError("stub recoverable error") + + # -- Qwen3-ASR ------------------------------------------------------------- + async def transcribe(self, gen_config: OV_Qwen3ASRGenConfig) -> Any: + text = self._control_text(gen_config) + self._check_fatal(text) + if "RAISE" in text: + raise RuntimeError("stub recoverable error") + return ( + "stub asr transcript", + {"num_chunks": 1}, + [{"id": 0, "start": 0.0, "end": 1.0, "text": "stub asr transcript"}], + ) + + # -- Qwen3-TTS --------------------------------------------------------------- + async def generate(self, gen_config: OV_Qwen3TTSGenConfig) -> Any: + text = self._control_text(gen_config) + self._check_fatal(text) + if "RAISE" in text: + raise RuntimeError("stub recoverable error") + return np.array([0.5, -0.5, 0.25, -0.25], dtype=np.float32), self._STUB_SR + + def generate_stream(self, gen_config: OV_Qwen3TTSGenConfig) -> Any: + text = self._control_text(gen_config) + self._check_fatal(text) + for i in range(2): + yield SimpleNamespace(audio=np.array([0.5, -0.5], dtype=np.float32)) + if i == 0 and "RAISE" in text: + raise RuntimeError("stub recoverable error") + + +def main() -> int: + """Run the worker protocol loop. Returns the process exit code.""" + _configure_logging() + worker = _PlainWorker() + try: + asyncio.run(worker.run()) + return 0 + except SystemExit as e: + return int(e.code) if isinstance(e.code, int) else 0 + except KeyboardInterrupt: + return 130 + except Exception as e: + logger.error(f"plain worker main loop crashed: {e}", exc_info=True) + return 1 diff --git a/src/engine/worker/protocol.py b/src/engine/worker/protocol.py index c50bf67b..613a0836 100644 --- a/src/engine/worker/protocol.py +++ b/src/engine/worker/protocol.py @@ -53,6 +53,7 @@ MSG_LOAD_ERROR = "LOAD_ERROR" # payload: req_id, error -- clean load failure, worker stays up MSG_ITEM = "ITEM" # payload: req_id, item -- one item yielded by generate_type (str chunk or dict) MSG_DONE = "DONE" # payload: req_id -- generation finished without error +MSG_RESULT = "RESULT" # payload: req_id, result -- single-result run finished (plain-OpenVINO protocol) MSG_ERROR = "ERROR" # payload: req_id, error -- per-request error, worker stays up MSG_FATAL = "FATAL" # payload: error -- worker is exiting; process-wide failure MSG_BYE = "BYE" # payload: req_id -- ack of UNLOAD; worker is exiting cleanly diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py index 934de583..ba790342 100644 --- a/src/engine/worker/supervisor.py +++ b/src/engine/worker/supervisor.py @@ -156,12 +156,16 @@ def _abort_child(self) -> None: self._stop_ping() self._terminate_process() + # Child entry module (the one that provides main()). The plain-OpenVINO + # worker (src.engine.worker.plain) subclasses and overrides this. + WORKER_ENTRY = "src.engine.worker.worker_process" + # -- spawning --------------------------------------------------------------- def _build_command(self) -> list: return [ sys.executable, "-c", - "import sys; from src.engine.worker.worker_process import main; sys.exit(main())", + f"import sys; from {self.WORKER_ENTRY} import main; sys.exit(main())", ] def _build_env(self) -> Dict[str, str]: @@ -459,6 +463,11 @@ def _dispatch(self, msg: Dict[str, Any]) -> None: req.queue.put_nowait(msg.get("item")) elif mtype == proto.MSG_DONE: self._finish_request(msg.get("req_id"), None) + elif mtype == proto.MSG_RESULT: + # Single-result runs (plain-OpenVINO worker protocol): the result + # payload (e.g. audio samples or a transcription) resolves the + # request. The GenAI workers never send this. + self._finish_request(msg.get("req_id"), None, result=msg.get("result")) elif mtype == proto.MSG_ERROR: err = msg.get("error") or {} self._finish_request( @@ -490,7 +499,12 @@ def _dispatch(self, msg: Dict[str, Any]) -> None: ): self._cancel[1].set_result(bool(msg.get("ok"))) - def _finish_request(self, req_id: Optional[str], error: Optional[BaseException]) -> None: + def _finish_request( + self, + req_id: Optional[str], + error: Optional[BaseException] = None, + result: Optional[Dict[str, Any]] = None, + ) -> None: if req_id is None: return req = self._active.pop(req_id, None) @@ -499,7 +513,9 @@ def _finish_request(self, req_id: Optional[str], error: Optional[BaseException]) req.queue.put_nowait(EOF) if req.result is not None and not req.result.done(): if error is None: - req.result.set_result(None) + # result is None for streaming runs (DONE); a dict for + # single-result runs (MSG_RESULT). + req.result.set_result(result) else: req.result.set_exception(error) diff --git a/src/engine/worker/worker_client.py b/src/engine/worker/worker_client.py index 0073dd12..b70cfc2f 100644 --- a/src/engine/worker/worker_client.py +++ b/src/engine/worker/worker_client.py @@ -31,8 +31,18 @@ logger = logging.getLogger(__name__) -class RemoteOVGenAI: - """Shared facade for out-of-process OpenVINO GenAI models (stage 1+2).""" +class RemoteEngine: + """Base for all out-of-process engine facades (stages 1-3). + + Owns the WorkerSupervisor and the shared machinery: registry-facing + load/unload, the respawn-budget on_dead callback, and the two request + shapes -- a stream of items ending in a result, and a single result. + Subclasses add the engine-specific inference methods. + """ + + # Which supervisor (child entry point) to use; the plain-OpenVINO facades + # override this with their own worker protocol. + SUPERVISOR_CLS = WorkerSupervisor def __init__( self, @@ -45,7 +55,7 @@ def __init__( self.load_config = load_config self.model_name = load_config.model_name self._registry = registry - self._supervisor = WorkerSupervisor( + self._supervisor = self.SUPERVISOR_CLS( self.model_name, max_respawns=max_respawns, load_timeout=load_timeout, @@ -78,18 +88,12 @@ async def _on_worker_dead(self) -> None: if self._registry is not None: await self._registry.register_unload(self.model_name) - # -- inference surface (called by WorkerRegistry) ----------------------------- - def generate_type(self, gen_config: OVGenAI_GenConfig) -> AsyncIterator[Union[Dict[str, Any], str]]: - """Text generation (VLM/LLM); same yield contract as OVGenAI_*_generate_type.""" - return self._run(proto.OP_GENERATE, gen_config.model_dump_json(), gen_config.request_id) - - def transcribe(self, gen_config: OVGenAI_WhisperGenConfig) -> AsyncIterator[Union[Dict[str, Any], str]]: - """Audio transcription (Whisper); yields metrics dict then the text.""" - return self._run(proto.OP_TRANSCRIBE, gen_config.model_dump_json(), None) - - async def _run( - self, op: str, gen_config_json: str, request_id: Optional[str] - ) -> AsyncIterator[Union[Dict[str, Any], str]]: + # -- request machinery (used by the inference methods) -------------------------- + async def _run_stream( + self, op: str, gen_config_json: str, request_id: Optional[str] = None + ) -> AsyncIterator[Dict[str, Any]]: + """Send a streaming run; yield each item, then await the result (which + raises if the worker reported an error).""" queue, result = await self._supervisor.begin_run(op, gen_config_json, request_id) try: while True: @@ -111,6 +115,13 @@ async def _run( if not result.done(): result.cancel() + async def _run_single( + self, op: str, gen_config_json: str, request_id: Optional[str] = None + ) -> Dict[str, Any]: + """Send a single-result run; return the result dict (raises on error).""" + queue, result = await self._supervisor.begin_run(op, gen_config_json, request_id) + return await result + async def cancel(self, request_id: str) -> bool: """Cancel an ongoing streaming generation by request_id.""" return await self._supervisor.request_cancel(request_id) @@ -124,6 +135,19 @@ def worker_pid(self) -> Optional[int]: return self._supervisor.pid +class RemoteOVGenAI(RemoteEngine): + """Shared facade for out-of-process OpenVINO GenAI models (stage 1+2).""" + + # -- inference surface (called by WorkerRegistry) ----------------------------- + def generate_type(self, gen_config: OVGenAI_GenConfig) -> AsyncIterator[Union[Dict[str, Any], str]]: + """Text generation (VLM/LLM); same yield contract as OVGenAI_*_generate_type.""" + return self._run_stream(proto.OP_GENERATE, gen_config.model_dump_json(), gen_config.request_id) + + def transcribe(self, gen_config: OVGenAI_WhisperGenConfig) -> AsyncIterator[Union[Dict[str, Any], str]]: + """Audio transcription (Whisper); yields metrics dict then the text.""" + return self._run_stream(proto.OP_TRANSCRIBE, gen_config.model_dump_json(), None) + + class RemoteOVGenAI_VLM(RemoteOVGenAI): """Out-of-process OpenVINO GenAI VLM (stage 1).""" diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py index 02758de5..57b634c5 100644 --- a/src/engine/worker/worker_process.py +++ b/src/engine/worker/worker_process.py @@ -261,6 +261,16 @@ async def run(self) -> None: if self._active_gen is not None and not self._active_gen.done(): self._active_gen.cancel() + # Overridable hooks so protocol variants (e.g. the plain-OpenVINO worker) + # can subclass this loop without duplicating it. + def _build_model(self, load_config: ModelLoadConfig) -> Any: + return _make_model(load_config) + + def _gen_config_cls(self) -> Optional[Any]: + if self.model_type is None: + return None + return _GEN_CONFIG_CLASSES.get(self.model_type) + async def _handle(self, msg: Dict[str, Any]) -> None: op = msg["op"] if op == proto.OP_PING: @@ -282,13 +292,19 @@ async def _handle(self, msg: Dict[str, Any]) -> None: elif op == proto.OP_UNLOAD: await self.send(proto.encode_response(proto.MSG_BYE, req_id=msg["req_id"])) await self._shutdown() + else: + await self._handle_custom_op(msg) + + async def _handle_custom_op(self, msg: Dict[str, Any]) -> None: + """Extension point for ops this protocol does not know (subclasses).""" + logger.warning(f"unknown protocol op: {msg.get('op')!r}") async def _do_load(self, msg: Dict[str, Any]) -> None: try: load_config = ModelLoadConfig.model_validate_json(msg["config"]) self.model_name = load_config.model_name self.model_type = load_config.model_type - model = _make_model(load_config) + model = self._build_model(load_config) logger.info(f"[{load_config.model_name}] building pipeline on {load_config.device} ...") await asyncio.to_thread(model.load_model, load_config) self.model = model @@ -312,7 +328,7 @@ def _validate_gen_config(self, raw: Dict[str, Any]) -> Any: """Validate the gen_config payload against the loaded engine's contract.""" if self.model_type is None: raise ValueError("no model loaded") - gen_config_cls = _GEN_CONFIG_CLASSES.get(self.model_type) + gen_config_cls = self._gen_config_cls() if gen_config_cls is None: raise ValueError(f"no gen config contract for model type {self.model_type!r}") raw = dict(raw) @@ -329,28 +345,49 @@ def _validate_gen_config(self, raw: Dict[str, Any]) -> Any: raw.pop(name) return gen_config_cls.model_validate(raw) - async def _start_run(self, msg: Dict[str, Any], method_name: str) -> None: + async def _check_run_preconditions(self, msg: Dict[str, Any]) -> Optional[bytes]: + """Shared guards for starting a run (reused by protocol variants): + an error response line to send, or None when the run may start.""" req_id = msg["req_id"] if self.model is None: - await self.send( - proto.encode_response( - proto.MSG_ERROR, - req_id=req_id, - error={"type": "NotLoaded", "message": "no model loaded"}, - ) + return proto.encode_response( + proto.MSG_ERROR, + req_id=req_id, + error={"type": "NotLoaded", "message": "no model loaded"}, ) - return if self._active_gen is not None and not self._active_gen.done(): - await self.send( - proto.encode_response( - proto.MSG_ERROR, - req_id=req_id, - error={"type": "Busy", "message": "an inference is already in progress"}, - ) + return proto.encode_response( + proto.MSG_ERROR, + req_id=req_id, + error={"type": "Busy", "message": "an inference is already in progress"}, ) + return None + + async def _start_run(self, msg: Dict[str, Any], method_name: str) -> None: + err = await self._check_run_preconditions(msg) + if err is not None: + await self.send(err) return self._active_gen = asyncio.create_task( - self._run_inference(msg, method_name), name=f"ovworker-gen-{req_id[:8]}" + self._run_inference(msg, method_name), name=f"ovworker-gen-{msg['req_id'][:8]}" + ) + + async def _report_run_error(self, e: BaseException, req_id: str, method_name: str) -> None: + """The shared error ladder for failed runs (reused by protocol + variants): recoverable -> MSG_ERROR (worker stays up); non-recoverable + (wedged device / native failure) -> MSG_FATAL + exit so the supervisor + respawns a clean process.""" + logger.error(f"[{self.model_name}] {method_name} failed", exc_info=True) + if proto.is_non_recoverable_error(e): + try: + await self.send( + proto.encode_response(proto.MSG_FATAL, error=proto.serialize_error(e)) + ) + except Exception: + pass + os._exit(1) + await self.send( + proto.encode_response(proto.MSG_ERROR, req_id=req_id, error=proto.serialize_error(e)) ) async def _run_inference(self, msg: Dict[str, Any], method_name: str) -> None: @@ -365,22 +402,7 @@ async def _run_inference(self, msg: Dict[str, Any], method_name: str) -> None: except asyncio.CancelledError: raise except Exception as e: - logger.error(f"[{self.model_name}] {method_name} failed", exc_info=True) - if proto.is_non_recoverable_error(e): - # Wedged device: report FATAL and take the process down so - # the supervisor can respawn with a fresh ov::Core. - try: - await self.send( - proto.encode_response(proto.MSG_FATAL, error=proto.serialize_error(e)) - ) - except Exception: - pass - os._exit(1) - await self.send( - proto.encode_response( - proto.MSG_ERROR, req_id=req_id, error=proto.serialize_error(e) - ) - ) + await self._report_run_error(e, req_id, method_name) finally: self._active_request_id = None self._active_gen = None diff --git a/src/server/model_registry.py b/src/server/model_registry.py index 5f2f74c5..7da77e78 100644 --- a/src/server/model_registry.py +++ b/src/server/model_registry.py @@ -365,47 +365,62 @@ async def create_model_instance(load_config: ModelLoadConfig) -> Any: logger.info(f"Model load failed: {error_msg}") raise ValueError(error_msg) - # Dynamic import and instantiation + # Dynamic import of the engine class. class_path = MODEL_CLASS_REGISTRY[key] module_path, class_name = class_path.rsplit('.', 1) module = importlib.import_module(module_path) model_class = getattr(module, class_name) - # Create the model instance. - model_instance = model_class(load_config) - # Lazy imports: src.engine's package __init__ imports the engine classes, # and those import back into this module, so they must not be imported at # module level here (circular import). - from src.engine.ov_genai.llm import OVGenAI_LLM - from src.engine.ov_genai.vlm import OVGenAI_VLM - from src.engine.ov_genai.whisper import OVGenAI_Whisper from src.engine.worker.worker_client import ( RemoteOVGenAI_LLM, RemoteOVGenAI_VLM, RemoteOVGenAI_Whisper, ) + from src.engine.worker.plain.worker_client import ( + RemoteOV_Kokoro, + RemoteOVQwen3ASR, + RemoteOVQwen3TTS, + ) - # OpenVINO GenAI models (VLM/LLM/Whisper) run in a dedicated worker - # process instead of in the server process: openvino_genai pipelines - # share a process-wide singleton ov::Core, and a wedged GPU plugin - # poisons it for the life of the process -- no in-process unload/reload - # can ever fix that. The facade below owns a supervised subprocess, so - # unload = terminate (guaranteed clean), reload = fresh process (fresh - # Core), and a wedged worker is respawned transparently within a - # per-load budget. OPENARC_OVGENAI_WORKER=0 (or OPENARC_VLM_WORKER=0 for - # VLMs) restores the historical in-process behaviour. + # OpenVINO models run in a dedicated worker process instead of in the + # server process: + # * GenAI (VLM/LLM/Whisper): pipelines share a process-wide singleton + # ov::Core, and a wedged GPU plugin poisons it for the life of the + # process -- no in-process unload/reload can ever fix that. + # * plain OpenVINO (Kokoro/Qwen3-ASR/Qwen3-TTS): for SEGFAULT + # ISOLATION -- a native crash in inference takes down only the + # worker process, which is respawned with a fresh pipeline. + # The facade owns a supervised subprocess, so unload = terminate + # (guaranteed clean), reload = fresh process, and a wedged/crashed worker + # is respawned transparently within a per-load budget. + # OPENARC_OVGENAI_WORKER=0 (or OPENARC_VLM_WORKER=0 for VLMs) and + # OPENARC_OPENVINO_WORKER=0 restore the historical in-process behaviour. + # + # The facade is chosen by (engine, model_type) -- the same key as + # MODEL_CLASS_REGISTRY -- BEFORE instantiating the real engine: several + # constructors have side effects (reading model files, creating ov.Core, + # allocating tensors), which must not run in the server process when the + # model is about to load in a worker. _WORKER_FACADES = { - OVGenAI_VLM: RemoteOVGenAI_VLM, - OVGenAI_LLM: RemoteOVGenAI_LLM, - OVGenAI_Whisper: RemoteOVGenAI_Whisper, + (EngineType.OV_GENAI, ModelType.VLM): RemoteOVGenAI_VLM, + (EngineType.OV_GENAI, ModelType.LLM): RemoteOVGenAI_LLM, + (EngineType.OV_GENAI, ModelType.WHISPER): RemoteOVGenAI_Whisper, + (EngineType.OPENVINO, ModelType.KOKORO): RemoteOV_Kokoro, + (EngineType.OPENVINO, ModelType.QWEN3_ASR): RemoteOVQwen3ASR, + (EngineType.OPENVINO, ModelType.QWEN3_TTS_CUSTOM_VOICE): RemoteOVQwen3TTS, + (EngineType.OPENVINO, ModelType.QWEN3_TTS_VOICE_DESIGN): RemoteOVQwen3TTS, + (EngineType.OPENVINO, ModelType.QWEN3_TTS_VOICE_CLONE): RemoteOVQwen3TTS, } - facade_cls = next( - (cls for base, cls in _WORKER_FACADES.items() if isinstance(model_instance, base)), - None, - ) - if facade_cls is not None and _ovgenai_worker_enabled(load_config.model_type): + facade_cls = _WORKER_FACADES.get((load_config.engine, load_config.model_type)) + if facade_cls is not None and _worker_enabled( + load_config.engine, load_config.model_type + ): model_instance = facade_cls(load_config) + else: + model_instance = model_class(load_config) # Load the model instance: remote facades load asynchronously (they spawn # a subprocess); in-process engines keep their blocking load off the @@ -418,6 +433,18 @@ async def create_model_instance(load_config: ModelLoadConfig) -> Any: return model_instance +def _worker_enabled(engine: EngineType, model_type: ModelType) -> bool: + """Whether a model of this engine/type runs in a worker process (stage 1-3). + + Optimum models (emb/rerank) still run in-process (a later stage). + """ + if engine == EngineType.OV_GENAI: + return _ovgenai_worker_enabled(model_type) + if engine == EngineType.OPENVINO: + return _openvino_worker_enabled(model_type) + return False + + def _ovgenai_worker_enabled(model_type: ModelType) -> bool: """Whether an OpenVINO GenAI model of this type runs in a worker process. @@ -429,3 +456,16 @@ def _ovgenai_worker_enabled(model_type: ModelType) -> bool: if model_type == ModelType.VLM: return os.getenv("OPENARC_VLM_WORKER", "1").strip().lower() not in ("0", "false", "off", "no") return True + + +def _openvino_worker_enabled(model_type: ModelType) -> bool: + """Whether a plain-OpenVINO model (Kokoro/Qwen3-ASR/Qwen3-TTS) of this + type runs in a worker process (stage 3, for segfault isolation). + + OPENARC_OPENVINO_WORKER is the master switch (default on); set it to 0 to + restore the historical in-process behaviour. + """ + return ( + os.getenv("OPENARC_OPENVINO_WORKER", "1").strip().lower() + not in ("0", "false", "off", "no") + ) diff --git a/src/server/worker_registry.py b/src/server/worker_registry.py index 37f49c0f..59afdf93 100644 --- a/src/server/worker_registry.py +++ b/src/server/worker_registry.py @@ -1,5 +1,6 @@ import logging import asyncio +import inspect import uuid import base64 import io @@ -7,7 +8,7 @@ import torch import soundfile as sf from dataclasses import dataclass -from typing import Any, AsyncIterator, Dict, List, Optional, Union +from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Union, cast from src.engine.ov_genai.llm import OVGenAI_LLM from src.engine.ov_genai.vlm import OVGenAI_VLM @@ -19,6 +20,7 @@ from src.engine.optimum.optimum_emb import Optimum_EMB from src.engine.optimum.optimum_rr import Optimum_RR from src.engine.worker.worker_client import RemoteOVGenAI_LLM, RemoteOVGenAI_VLM, RemoteOVGenAI_Whisper +from src.engine.worker.plain.worker_client import RemoteOV_Kokoro, RemoteOVQwen3ASR, RemoteOVQwen3TTS from src.engine.worker.protocol import RemoteWorkerDeadError from src.server.schemas.modeling.contract_kokoro import OV_KokoroGenConfig @@ -246,7 +248,7 @@ async def infer_whisper(packet: WorkerPacket, whisper_model: Union[OVGenAI_Whisp return packet @staticmethod - async def infer_qwen3_asr(packet: WorkerPacket, asr_model: OVQwen3ASR) -> WorkerPacket: + async def infer_qwen3_asr(packet: WorkerPacket, asr_model: Union[OVQwen3ASR, RemoteOVQwen3ASR]) -> WorkerPacket: """Transcribe audio for a single packet using the OVQwen3ASR pipeline.""" metrics = None @@ -264,7 +266,7 @@ async def infer_qwen3_asr(packet: WorkerPacket, asr_model: OVQwen3ASR) -> Worker return packet @staticmethod - async def infer_kokoro(packet: WorkerPacket, kokoro_model: OV_Kokoro) -> WorkerPacket: + async def infer_kokoro(packet: WorkerPacket, kokoro_model: Union[OV_Kokoro, RemoteOV_Kokoro]) -> WorkerPacket: """Generate speech audio for a single packet using the OV_Kokoro pipeline. Collects audio chunks and concatenates them into a single audio tensor, @@ -325,7 +327,7 @@ async def infer_kokoro_stream(packet: WorkerPacket, kokoro_model: OV_Kokoro) -> return packet @staticmethod - async def infer_qwen3_tts(packet: WorkerPacket, tts_model: OVQwen3TTS) -> WorkerPacket: + async def infer_qwen3_tts_stream(packet: WorkerPacket, tts_model: Union[OVQwen3TTS, RemoteOVQwen3TTS]) -> WorkerPacket: """Generate speech audio for a single packet using the OVQwen3TTS engine.""" try: wav, sr = await tts_model.generate(packet.gen_config) @@ -350,23 +352,41 @@ async def infer_qwen3_tts(packet: WorkerPacket, tts_model: OVQwen3TTS) -> Worker return packet @staticmethod - async def infer_qwen3_tts_stream(packet: WorkerPacket, tts_model: OVQwen3TTS) -> WorkerPacket: + async def infer_qwen3_tts_stream(packet: WorkerPacket, tts_model: Union[OVQwen3TTS, RemoteOVQwen3TTS]) -> WorkerPacket: """Stream Qwen3 TTS PCM chunks (int16 LE bytes) onto packet.stream_queue; ends with None.""" if packet.stream_queue is None: raise RuntimeError("infer_qwen3_tts_stream requires stream_queue") loop = asyncio.get_running_loop() - def _run_sync_generator() -> None: + def _pcm(tchunk) -> bytes: + return np.clip(tchunk.audio * 32768.0, -32768.0, 32767.0).astype(np.int16).tobytes() + + gen = tts_model.generate_stream(packet.gen_config) + if inspect.isasyncgen(gen): + # Out-of-process facade: an async generator over the worker's + # streamed audio chunks. + async_gen = cast("AsyncIterator[Any]", gen) try: - for tchunk in tts_model.generate_stream(packet.gen_config): - pcm = np.clip(tchunk.audio * 32768.0, -32768.0, 32767.0).astype(np.int16).tobytes() - asyncio.run_coroutine_threadsafe(packet.stream_queue.put(pcm), loop).result() + async for tchunk in async_gen: + await packet.stream_queue.put(_pcm(tchunk)) except Exception: logger.error("Qwen3 TTS streaming inference failed!", exc_info=True) finally: - asyncio.run_coroutine_threadsafe(packet.stream_queue.put(None), loop).result() + await packet.stream_queue.put(None) + else: + # In-process engine: a blocking sync generator, run in a thread. + sync_gen = cast("Iterator[Any]", gen) - await asyncio.to_thread(_run_sync_generator) + def _run_sync_generator() -> None: + try: + for tchunk in sync_gen: + asyncio.run_coroutine_threadsafe(packet.stream_queue.put(_pcm(tchunk)), loop).result() + except Exception: + logger.error("Qwen3 TTS streaming inference failed!", exc_info=True) + finally: + asyncio.run_coroutine_threadsafe(packet.stream_queue.put(None), loop).result() + + await asyncio.to_thread(_run_sync_generator) packet.response = "" packet.metrics = None return packet @@ -489,7 +509,7 @@ async def queue_worker_whisper(model_name: str, model_queue: asyncio.Queue, whis model_queue.task_done() @staticmethod - async def queue_worker_qwen3_asr(model_name: str, model_queue: asyncio.Queue, asr_model: OVQwen3ASR, registry: ModelRegistry): + async def queue_worker_qwen3_asr(model_name: str, model_queue: asyncio.Queue, asr_model: Union[OVQwen3ASR, RemoteOVQwen3ASR], registry: ModelRegistry): """Qwen3 ASR model inference worker that processes packets from queue.""" logger.info(f"[Qwen3ASR Worker: {model_name}] Started, waiting for packets...") while True: @@ -510,7 +530,7 @@ async def queue_worker_qwen3_asr(model_name: str, model_queue: asyncio.Queue, as model_queue.task_done() @staticmethod - async def queue_worker_kokoro(model_name: str, model_queue: asyncio.Queue, kokoro_model: OV_Kokoro, registry: ModelRegistry): + async def queue_worker_kokoro(model_name: str, model_queue: asyncio.Queue, kokoro_model: Union[OV_Kokoro, RemoteOV_Kokoro], registry: ModelRegistry): """Kokoro model inference worker that processes packets from queue""" logger.info(f"[Kokoro Worker: {model_name}] Started, waiting for packets...") while True: @@ -534,7 +554,7 @@ async def queue_worker_kokoro(model_name: str, model_queue: asyncio.Queue, kokor model_queue.task_done() @staticmethod - async def queue_worker_qwen3_tts(model_name: str, model_queue: asyncio.Queue, tts_model: OVQwen3TTS, registry: ModelRegistry): + async def queue_worker_qwen3_tts(model_name: str, model_queue: asyncio.Queue, tts_model: Union[OVQwen3TTS, RemoteOVQwen3TTS], registry: ModelRegistry): """Qwen3 TTS model inference worker that processes packets from queue.""" logger.info(f"[Qwen3TTS Worker: {model_name}] Started, waiting for packets...") while True: @@ -679,7 +699,7 @@ async def _on_model_loaded(self, record: ModelRecord) -> None: task = asyncio.create_task(QueueWorker.queue_worker_whisper(record.model_name, q, instance, self._model_registry)) self._model_tasks_whisper[record.model_name] = task - elif mt == ModelType.QWEN3_ASR and isinstance(instance, OVQwen3ASR): + elif mt == ModelType.QWEN3_ASR and isinstance(instance, (OVQwen3ASR, RemoteOVQwen3ASR)): if record.model_name not in self._model_queues_qwen3_asr: q = asyncio.Queue() self._model_queues_qwen3_asr[record.model_name] = q @@ -688,7 +708,7 @@ async def _on_model_loaded(self, record: ModelRecord) -> None: ) self._model_tasks_qwen3_asr[record.model_name] = task - elif mt == ModelType.KOKORO and isinstance(instance, OV_Kokoro): + elif mt == ModelType.KOKORO and isinstance(instance, (OV_Kokoro, RemoteOV_Kokoro)): if record.model_name not in self._model_queues_kokoro: q: asyncio.Queue = asyncio.Queue() self._model_queues_kokoro[record.model_name] = q @@ -699,7 +719,7 @@ async def _on_model_loaded(self, record: ModelRecord) -> None: ModelType.QWEN3_TTS_CUSTOM_VOICE, ModelType.QWEN3_TTS_VOICE_DESIGN, ModelType.QWEN3_TTS_VOICE_CLONE, - ) and isinstance(instance, OVQwen3TTS): + ) and isinstance(instance, (OVQwen3TTS, RemoteOVQwen3TTS)): if record.model_name not in self._model_queues_qwen3_tts: q: asyncio.Queue = asyncio.Queue() self._model_queues_qwen3_tts[record.model_name] = q @@ -967,13 +987,13 @@ async def transcribe_qwen3_asr(self, model_name: str, gen_config: OV_Qwen3ASRGen q = self._get_qwen3_asr_queue(model_name) await q.put(packet) completed = await result_future - + response: Dict[str, Any] = {"text": completed.response or ""} if completed.metrics: response["metrics"] = completed.metrics if completed.segments: response["segments"] = completed.segments - + return response async def generate_speech_qwen3_tts(self, model_name: str, gen_config: OV_Qwen3TTSGenConfig) -> Dict[str, Any]: diff --git a/tests/unit/test_worker_plain_protocol_unit.py b/tests/unit/test_worker_plain_protocol_unit.py new file mode 100644 index 00000000..64bbd169 --- /dev/null +++ b/tests/unit/test_worker_plain_protocol_unit.py @@ -0,0 +1,101 @@ +"""Unit tests for the plain-OpenVINO worker protocol (stage 3): framing +reuse from the GenAI protocol, the RUN / RUN_STREAM / RESULT shapes, and the +audio (de)serialization that crosses the pipe.""" + +import numpy as np + +from src.engine.worker import protocol as shared +from src.engine.worker.plain import protocol as p_proto + + +def test_shared_names_are_byte_identical() -> None: + """The plain protocol reuses the shared framing: the reused ops/messages + must be the exact same strings, so both sides agree byte-for-byte.""" + assert p_proto.OP_LOAD == shared.OP_LOAD + assert p_proto.OP_CANCEL == shared.OP_CANCEL + assert p_proto.OP_PING == shared.OP_PING + assert p_proto.OP_UNLOAD == shared.OP_UNLOAD + assert p_proto.MSG_ITEM == shared.MSG_ITEM + assert p_proto.MSG_DONE == shared.MSG_DONE + assert p_proto.MSG_RESULT == shared.MSG_RESULT + assert p_proto.PROTOCOL_VERSION == shared.PROTOCOL_VERSION + assert p_proto.PROTOCOL_LINE_LIMIT == shared.PROTOCOL_LINE_LIMIT + + +def test_run_ops_are_distinct() -> None: + all_shared = { + shared.OP_LOAD, + shared.OP_GENERATE, + shared.OP_TRANSCRIBE, + shared.OP_CANCEL, + shared.OP_PING, + shared.OP_UNLOAD, + } + assert p_proto.OP_RUN not in all_shared + assert p_proto.OP_RUN_STREAM not in all_shared + assert p_proto.OP_RUN != p_proto.OP_RUN_STREAM + + +def test_run_request_roundtrip() -> None: + line = p_proto.encode( + p_proto.OP_RUN, req_id="r1", request_id="req-9", gen_config='{"input": "hi"}' + ) + msg = p_proto.decode_request(line) + assert msg["v"] == p_proto.PROTOCOL_VERSION + assert msg["op"] == p_proto.OP_RUN + assert msg["req_id"] == "r1" + assert msg["request_id"] == "req-9" + assert msg["gen_config"] == '{"input": "hi"}' + + +def test_run_stream_request_roundtrip() -> None: + line = p_proto.encode( + p_proto.OP_RUN_STREAM, req_id="r2", gen_config='{"input": "stream me"}' + ) + msg = p_proto.decode_request(line) + assert msg["op"] == p_proto.OP_RUN_STREAM + assert msg["req_id"] == "r2" + + +def test_result_response_roundtrip() -> None: + payload = {"text": "hello", "metrics": {"a": 1}, "segments": [{"id": 0}]} + line = p_proto.encode_response(p_proto.MSG_RESULT, req_id="r1", result=payload) + msg = p_proto.decode_response(line) + assert msg["type"] == p_proto.MSG_RESULT + assert msg["req_id"] == "r1" + assert msg["result"] == payload + + +def test_audio_result_response_roundtrip() -> None: + payload = {"audio_b64": "AQID", "samples": 1, "sample_rate": 24000} + line = p_proto.encode_response(p_proto.MSG_RESULT, req_id="r3", result=payload) + msg = p_proto.decode_response(line) + assert msg["result"]["sample_rate"] == 24000 + assert msg["result"]["samples"] == 1 + + +def test_audio_roundtrip_numpy() -> None: + from src.engine.worker.plain.worker_client import _decode_audio_b64 + from src.engine.worker.plain.worker_process import _to_float32_b64 + + arr = np.array([0.5, -0.5, 0.25, -0.25], dtype=np.float32) + b64, samples = _to_float32_b64(arr) + assert samples == 4 + decoded = _decode_audio_b64({"audio_b64": b64}) + assert decoded.dtype == np.float32 + assert decoded.shape == (4,) + assert np.allclose(decoded, arr) + + +def test_audio_roundtrip_torch() -> None: + """Kokoro chunks carry torch tensors on the worker side.""" + import torch + + from src.engine.worker.plain.worker_client import _decode_audio_b64 + from src.engine.worker.plain.worker_process import _to_float32_b64 + + tensor = torch.tensor([0.1, 0.2, 0.3], dtype=torch.float32) + b64, samples = _to_float32_b64(tensor) + assert samples == 3 + decoded = _decode_audio_b64({"audio_b64": b64}) + assert np.allclose(decoded, [0.1, 0.2, 0.3]) diff --git a/tests/unit/test_worker_plain_unit.py b/tests/unit/test_worker_plain_unit.py new file mode 100644 index 00000000..a6b2738b --- /dev/null +++ b/tests/unit/test_worker_plain_unit.py @@ -0,0 +1,386 @@ +""" +End-to-end tests for the plain-OpenVINO out-of-process workers (stage 3): +supervisor + plain protocol + RemoteOV_Kokoro / RemoteOVQwen3ASR / +RemoteOVQwen3TTS facades, with the worker's models replaced by stubs +(OPENARC_WORKER_STUB=1) so no OpenVINO, GPU, or model files are needed. +Each test spawns a real child process and exercises the full pipe: +spawn -> LOAD -> RUN / RUN_STREAM -> ITEM / RESULT / DONE -> UNLOAD, plus +the failure paths (FATAL + respawn, native crash + respawn, recoverable +error) and the full ModelRegistry + WorkerRegistry route (including the +server-side WAV encoding and the streaming PCM path). +""" + +import asyncio +import base64 +from typing import Optional + +import numpy as np +import pytest # type: ignore[import] + +from src.engine.worker import protocol as proto +from src.engine.worker.plain.worker_client import ( + RemoteOV_Kokoro, + RemoteOVQwen3ASR, + RemoteOVQwen3TTS, +) +from src.server.schemas.modeling.contract_kokoro import ( + OV_KokoroGenConfig, + KokoroLanguage, + KokoroVoice, +) +from src.server.schemas.modeling.contract_qwen3asr import OV_Qwen3ASRGenConfig +from src.server.schemas.modeling.contract_qwen3tts import OV_Qwen3TTSCustomVoice +from src.server.schemas.registration import EngineType, ModelLoadConfig, ModelType + + +def _load_config( + tmp_path, + name: str = "stub-kokoro", + model_type: ModelType = ModelType.KOKORO, +) -> ModelLoadConfig: + return ModelLoadConfig( + model_path=str(tmp_path), + model_name=name, + model_type=model_type, + engine=EngineType.OPENVINO, + device="CPU", + ) + + +async def _wait_for_state(facade, state: str, timeout: float = 30.0) -> None: + async def _poll(): + while facade.status()["state"] != state: + await asyncio.sleep(0.05) + + await asyncio.wait_for(_poll(), timeout) + + +async def _wait_for_respawn(facade, first_pid: Optional[int], timeout: float = 30.0) -> None: + """Wait until the supervisor detected the death and the respawned worker + is ready again (a fresh PID proves a fresh process/pipeline).""" + + async def _poll(): + while facade.worker_pid == first_pid or facade.status()["state"] != "ready": + await asyncio.sleep(0.05) + + await asyncio.wait_for(_poll(), timeout) + + +def _asr_config(payload: str) -> OV_Qwen3ASRGenConfig: + return OV_Qwen3ASRGenConfig( + audio_base64=base64.b64encode(payload.encode("utf-8")).decode("ascii") + ) + + +def _tts_config(text: str = "hello") -> OV_Qwen3TTSCustomVoice: + return OV_Qwen3TTSCustomVoice(input=text, speaker="Cherry") + + +def _kokoro_config(text: str) -> OV_KokoroGenConfig: + # All fields passed explicitly: pyright's pydantic plugin does not pick + # up the positional Field() defaults in the contract, so a bare + # OV_KokoroGenConfig(input=...) would be flagged as a call error. + return OV_KokoroGenConfig( + input=text, + voice=KokoroVoice.AF_SARAH, + lang_code=KokoroLanguage.AMERICAN_ENGLISH, + speed=1.0, + character_count_chunk=400, + response_format="wav", + ) + + +# --- facade-level tests ----------------------------------------------------------- + + +def test_kokoro_load_stream_and_unload(tmp_path, monkeypatch) -> None: + """Kokoro through the full pipe: RUN_STREAM yields one audio chunk per + text chunk, and the server-side contract (torch tensors) is preserved.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, name="stub-kokoro") + + async def _run(): + facade = RemoteOV_Kokoro(config, load_timeout=30.0) + await facade.load_model(config) + chunks = [c async for c in facade.chunk_forward_pass(_kokoro_config("hi"))] + assert len(chunks) == 2 + import torch + + full = torch.cat([c.audio for c in chunks], dim=0) + assert np.allclose(full.numpy(), [0.1, 0.2, 0.3, 0.1, 0.2, 0.3]) + assert chunks[0].chunk_text == "stub chunk 0" + assert chunks[1].chunk_index == 1 + assert chunks[0].total_chunks == 2 + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_asr_transcribe_contract(tmp_path, monkeypatch) -> None: + """Qwen3-ASR through the full pipe: RUN -> RESULT -> (text, metrics, + segments), the in-process return contract.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, name="stub-asr", model_type=ModelType.QWEN3_ASR) + + async def _run(): + facade = RemoteOVQwen3ASR(config, load_timeout=30.0) + await facade.load_model(config) + text, metrics, segments = await facade.transcribe(_asr_config("some audio")) + assert text == "stub asr transcript" + assert metrics == {"num_chunks": 1} + assert segments[0]["text"] == "stub asr transcript" + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_tts_generate_and_stream(tmp_path, monkeypatch) -> None: + """Qwen3-TTS through the full pipe: non-streaming RUN -> (wav, sr) and + streaming RUN_STREAM -> .audio chunks (async generator).""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config( + tmp_path, name="stub-tts", model_type=ModelType.QWEN3_TTS_CUSTOM_VOICE + ) + + async def _run(): + facade = RemoteOVQwen3TTS(config, load_timeout=30.0) + await facade.load_model(config) + + wav, sr = await facade.generate(_tts_config()) + assert sr == 24000 + assert np.allclose(wav, [0.5, -0.5, 0.25, -0.25]) + + chunks = [c async for c in facade.generate_stream(_tts_config())] + assert len(chunks) == 2 + assert np.allclose(chunks[0].audio, [0.5, -0.5]) + assert np.allclose(chunks[1].audio, [0.5, -0.5]) + await facade._supervisor.unload() + + asyncio.run(_run()) + + +# --- failure paths ------------------------------------------------------------------ + + +def test_kokoro_fatal_error_respawns_worker(tmp_path, monkeypatch) -> None: + """FATAL (non-recoverable) on a plain engine: the request fails with a + dead-worker error and the supervisor respawns a fresh process.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, name="stub-kokoro") + + async def _run(): + facade = RemoteOV_Kokoro(config, load_timeout=30.0) + await facade.load_model(config) + first_pid = facade.worker_pid + + with pytest.raises(proto.RemoteWorkerDeadError): + _ = [ + c + async for c in facade.chunk_forward_pass( + _kokoro_config("FATAL please") + ) + ] + await _wait_for_respawn(facade, first_pid) + chunks = [ + c + async for c in facade.chunk_forward_pass(_kokoro_config("still serving")) + ] + assert len(chunks) == 2 + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_tts_crash_respawns_worker(tmp_path, monkeypatch) -> None: + """A native crash (no FATAL message) on a plain engine: the request + fails and the supervisor respawns -- the segfault-isolation story.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config( + tmp_path, name="stub-tts", model_type=ModelType.QWEN3_TTS_CUSTOM_VOICE + ) + + async def _run(): + facade = RemoteOVQwen3TTS(config, load_timeout=30.0) + await facade.load_model(config) + first_pid = facade.worker_pid + + with pytest.raises(proto.RemoteWorkerDeadError): + await facade.generate(_tts_config("CRASH")) + await _wait_for_respawn(facade, first_pid) + wav, sr = await facade.generate(_tts_config()) + assert sr == 24000 + assert np.allclose(wav, [0.5, -0.5, 0.25, -0.25]) + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_asr_recoverable_error_keeps_worker_up(tmp_path, monkeypatch) -> None: + """A recoverable per-request error on a plain engine: the request fails + with a plain worker error and the worker stays up (no respawn).""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, name="stub-asr", model_type=ModelType.QWEN3_ASR) + + async def _run(): + facade = RemoteOVQwen3ASR(config, load_timeout=30.0) + await facade.load_model(config) + pid = facade.worker_pid + + with pytest.raises(proto.RemoteWorkerError) as exc: + await facade.transcribe(_asr_config("RAISE")) + assert "stub recoverable error" in str(exc.value) + assert not isinstance(exc.value, proto.RemoteWorkerDeadError) + + # Same process, still serving. + assert facade.worker_pid == pid + assert facade.status()["state"] == "ready" + text, _, _ = await facade.transcribe(_asr_config("fine audio")) + assert text == "stub asr transcript" + await facade._supervisor.unload() + + asyncio.run(_run()) + + +# --- full registry route -------------------------------------------------------------- + + +def test_plain_worker_registry_end_to_end(tmp_path, monkeypatch) -> None: + """Full path for Kokoro + Qwen3-ASR + Qwen3-TTS: register_load -> facade + -> worker process -> WorkerRegistry.generate_speech_kokoro / + transcribe_qwen3_asr / generate_speech_qwen3_tts / + stream_generate_speech_qwen3_tts, with WAV encoding on the server side + and the worker-death policy (a FATAL must not unload the model).""" + from src.server.model_registry import ModelRegistry + from src.server.worker_registry import WorkerRegistry + + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + kokoro_config = _load_config(tmp_path, name="stub-kokoro", model_type=ModelType.KOKORO) + asr_config = _load_config(tmp_path, name="stub-asr", model_type=ModelType.QWEN3_ASR) + tts_config = _load_config( + tmp_path, name="stub-tts", model_type=ModelType.QWEN3_TTS_CUSTOM_VOICE + ) + + async def _run(): + registry = ModelRegistry() + workers = WorkerRegistry(registry) + kokoro_id = await registry.register_load(kokoro_config) + asr_id = await registry.register_load(asr_config) + tts_id = await registry.register_load(tts_config) + + async def _facade(model_id): + async with registry._lock: + for rec in registry._models.values(): + if rec.model_id == model_id: + return rec.model_instance + return None + + kokoro_facade = await _facade(kokoro_id) + assert isinstance(kokoro_facade, RemoteOV_Kokoro) + assert isinstance(await _facade(asr_id), RemoteOVQwen3ASR) + assert isinstance(await _facade(tts_id), RemoteOVQwen3TTS) + + # Kokoro: speech out as a base64 WAV, encoded on the server side. + result = await workers.generate_speech_kokoro( + kokoro_config.model_name, _kokoro_config("hello") + ) + wav_bytes = base64.b64decode(result["audio_base64"]) + assert wav_bytes[:4] == b"RIFF" and wav_bytes[8:12] == b"WAVE" + assert result["metrics"]["chunks_processed"] == 2 + + # Kokoro fatal error: the request fails, the model stays loaded, and + # the supervisor respawns (the registry must not unload). + kokoro_pid = kokoro_facade.worker_pid + with pytest.raises(proto.RemoteWorkerDeadError): + await workers.generate_speech_kokoro( + kokoro_config.model_name, _kokoro_config("FATAL please") + ) + await _wait_for_respawn(kokoro_facade, kokoro_pid) + result = await workers.generate_speech_kokoro( + kokoro_config.model_name, _kokoro_config("still serving") + ) + assert base64.b64decode(result["audio_base64"])[:4] == b"RIFF" + + # Qwen3-ASR: transcription with segments. + result = await workers.transcribe_qwen3_asr( + asr_config.model_name, _asr_config("some audio") + ) + assert result["text"] == "stub asr transcript" + assert result["segments"][0]["text"] == "stub asr transcript" + + # Qwen3-TTS: speech out as a base64 WAV. + result = await workers.generate_speech_qwen3_tts( + tts_config.model_name, _tts_config() + ) + wav_bytes = base64.b64decode(result["audio_base64"]) + assert wav_bytes[:4] == b"RIFF" and wav_bytes[8:12] == b"WAVE" + assert result["metrics"]["sample_rate"] == 24000 + + # Qwen3-TTS streaming: raw int16 PCM chunks on the stream. + pcm_chunks = [ + c + async for c in workers.stream_generate_speech_qwen3_tts( + tts_config.model_name, _tts_config() + ) + ] + pcm = b"".join(pcm_chunks) + # 2 stub chunks x 2 samples x 2 bytes (int16 LE) = 8 bytes. + assert len(pcm) == 8 + + # All three models survived; unload terminates all three processes. + async with registry._lock: + names = {r.model_name for r in registry._models.values()} + assert { + kokoro_config.model_name, + asr_config.model_name, + tts_config.model_name, + } <= names + assert await registry.register_unload(kokoro_config.model_name) is True + assert await registry.register_unload(asr_config.model_name) is True + assert await registry.register_unload(tts_config.model_name) is True + asr_facade = await _facade(asr_id) + tts_facade = await _facade(tts_id) + assert asr_facade is not None and tts_facade is not None + for _ in range(500): + if all( + f.status()["state"] == "closed" + for f in (kokoro_facade, asr_facade, tts_facade) + ): + break + await asyncio.sleep(0.01) + assert kokoro_facade.status()["state"] == "closed" + + asyncio.run(_run()) + + +# --- env switch ---------------------------------------------------------------------- + + +def test_openvino_worker_env_switch(tmp_path, monkeypatch) -> None: + """OPENARC_OPENVINO_WORKER gates the plain-OpenVINO workers (default on); + it must not affect the GenAI switch and vice versa.""" + from src.server.model_registry import ( + _openvino_worker_enabled, + _ovgenai_worker_enabled, + _worker_enabled, + ) + from src.server.schemas.registration import EngineType + + monkeypatch.delenv("OPENARC_OPENVINO_WORKER", raising=False) + monkeypatch.delenv("OPENARC_OVGENAI_WORKER", raising=False) + assert _openvino_worker_enabled(ModelType.KOKORO) is True + assert _worker_enabled(EngineType.OPENVINO, ModelType.KOKORO) is True + assert _worker_enabled(EngineType.OV_GENAI, ModelType.LLM) is True + + monkeypatch.setenv("OPENARC_OPENVINO_WORKER", "0") + assert _openvino_worker_enabled(ModelType.KOKORO) is False + assert _worker_enabled(EngineType.OPENVINO, ModelType.KOKORO) is False + # The GenAI switch is independent. + assert _ovgenai_worker_enabled(ModelType.LLM) is True + + monkeypatch.setenv("OPENARC_OVGENAI_WORKER", "off") + monkeypatch.delenv("OPENARC_OPENVINO_WORKER", raising=False) + assert _worker_enabled(EngineType.OV_GENAI, ModelType.LLM) is False + assert _worker_enabled(EngineType.OPENVINO, ModelType.QWEN3_ASR) is True + + # Optimum models are not worker-routed (a later stage). + assert _worker_enabled(EngineType.OV_OPTIMUM, ModelType.EMB) is False From 6fc563aac78a969324fd003fd5d2e1b0d86e2c2b Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Mon, 28 Sep 2026 20:46:51 +0200 Subject: [PATCH 08/16] [#178] Added parameter --worker-max-respawn,-wmr for limit of worker respawn. If a worker process for a model crashes, the supervisor tries to respawn the process and keeps track of the number of respawn attempts. The parameter --worker-max-respawns specifies the max limit of these respawn attempts. If <= 0, the worker is respawned endlessly. --- docs/worker-processes.md | 29 ++++-- src/cli/groups/add.py | 15 ++- src/engine/worker/supervisor.py | 42 ++++++++- src/server/schemas/registration.py | 21 +++++ tests/unit/test_cli_add_unit.py | 57 ++++++++++++ tests/unit/test_remote_vlm_worker_unit.py | 106 ++++++++++++++++++++-- tests/unit/test_worker_plain_unit.py | 35 +++++++ tests/unit/test_worker_protocol_unit.py | 29 ++++++ 8 files changed, 312 insertions(+), 22 deletions(-) diff --git a/docs/worker-processes.md b/docs/worker-processes.md index f28b9e91..1f14186f 100644 --- a/docs/worker-processes.md +++ b/docs/worker-processes.md @@ -48,7 +48,20 @@ get a clean Core is a new process. That is why: | **recoverable inference error** (the worker stays up) | the model is unloaded as before — now guaranteed clean, because unload is a process kill. | | **non-recoverable error** (`CL_*` / driver failure) | the worker reports `FATAL` and exits; the supervisor **respawns a fresh process and re-runs the same load**, transparently. | | **native crash / OOM-kill** (no `FATAL` message) | the supervisor detects the dead process and respawns it the same way. | -| **respawn budget exhausted** (2 respawns per load episode) | the model is unloaded from the registry: readiness drops, and an operator reloads it with a fresh budget. | +| **respawn budget exhausted** | the worker keeps crashing past its budget, so the model is unloaded from the registry: readiness drops, and an operator reloads it with a fresh budget (see below). | + +The **respawn budget** is per load episode: after a crash the supervisor runs a +fresh process (re-runs the same load) at most `worker_max_respawns` times before +it gives up, at which point the model is unloaded from the registry and +readiness drops. The default is **2** — the worker is reloaded twice, and on the +**3rd** failure it is quarantined (the historical "does not recover after a few +retries, so we unload it" behaviour). Lower it for a model you suspect is +permanently wedged, or set **`0` or a negative number for no limit**, in which +case the worker is reloaded on **every** crash and is **never** automatically +unloaded (useful for a model that crashes transiently but would otherwise be +permanently quarantined). It is per-model config, not an environment variable: + + openarc add --model-name foo --model-path /models/foo --en ovgenai --mt llm --d GPU --worker-max-respawns 0 A PING watchdog (every 30 s, 5 s timeout) kills a worker that stops responding, so a wedged-but-alive process is recovered the same way. @@ -67,8 +80,8 @@ in the server, so the public response shapes are unchanged. - `spawning inference worker: ...` / `inference worker ready (pid=...)` - the worker's own stdout of OpenVINO/OpenCL (forwarded from its stderr), prefixed with `[ pid=...]` -- `inference worker exited unexpectedly (code=...)` + `respawning inference worker (n/2)` on recovery -- `respawn budget exhausted; worker is dead` + the resulting unload +- `inference worker exited unexpectedly (code=...)` + `respawning inference worker (n/)` on recovery — or `respawning inference worker (respawn #n; no restart limit)` when `worker_max_respawns` is `0`/negative (no limit) +- `respawn budget exhausted; worker is dead` + the resulting unload — only when `worker_max_respawns` is a positive number; with `0`/negative it never fires ## Operator knobs @@ -78,9 +91,13 @@ in the server, so the public response shapes are unchanged. | `OPENARC_VLM_WORKER=0` | additionally disable the worker process for VLMs only (stage-1 escape hatch) | | `OPENARC_OPENVINO_WORKER=0` | master switch: disable worker processes for the plain-openvino engines (Kokoro, Qwen3-ASR, Qwen3-TTS) and restore the historical in-process behaviour | -Everything else (respawn budget, watchdog timings, unload timeouts) is -configurable on `WorkerSupervisor` for now and will get config-file support in -a later stage. +The respawn budget has config-file support: `worker_max_respawns` in the model +config, set via `openarc add --worker-max-respawns` (positive `N` = the number +of reloads per load episode before the model is quarantined; `0` or negative += no limit, the worker is always reloaded and is never automatically unloaded). +The remaining per-load settings (watchdog timings, unload timeouts) are still +only `WorkerSupervisor` parameters and will get config-file support in a later +stage. ## Implementation map diff --git a/src/cli/groups/add.py b/src/cli/groups/add.py index f207c812..c46263ad 100644 --- a/src/cli/groups/add.py +++ b/src/cli/groups/add.py @@ -138,9 +138,14 @@ def _fail(extra: str = "") -> NoReturn: required=False, default=None, help='Maximum size of one line on the IPC pipe to this model\'s inference worker (ovgenai only). Bytes, or K/M/G suffix (e.g. 512K, 256M, 1G). Default 256 MiB. Requests with larger payloads fail with a clear error; lowering it bounds IPC memory.') +@click.option('--worker-max-respawns', '--wmr', + required=False, + default=None, + type=int, + help='Max times this model\'s inference worker is auto-reloaded after an unexpected crash/wedge within one load, before it is permanently unloaded (quarantined). Default 2 (the historical "reloaded twice, then quarantined on the 3rd failure" behaviour). 0 or a negative number = no limit: the worker is always reloaded and is never automatically unloaded. (ovgenai and plain-openvino models only; ignored by in-process engines.)') @config_options @click.pass_context -def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, cache_dir, draft_model_path, draft_device, num_assistant_tokens, assistant_confidence_threshold, tool_call_parser, context_window, worker_line_limit, **config_values): +def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, cache_dir, draft_model_path, draft_device, num_assistant_tokens, assistant_confidence_threshold, tool_call_parser, context_window, worker_line_limit, worker_max_respawns, **config_values): """- Add a model configuration to the config file. \b @@ -244,6 +249,13 @@ def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, ctx.exit(1) entry["load_config"]["worker_line_limit"] = limit_bytes + if worker_max_respawns is not None: + # 0 or a negative number means "no limit" (the worker is always reloaded + # and is never automatically unloaded); a positive number is the respawn + # budget. click already coerced it to int, so none is needed here -- the + # sentinel is meaningful rather than an error. + entry["load_config"]["worker_max_respawns"] = worker_max_respawns + ctx.obj.server_config.save_model_entry(model_name, entry) console.print(f"[green]Model configuration saved:[/green] {model_name}") console.print(f"[dim]Use 'openarc load {model_name}' to load this model.[/dim]") @@ -267,6 +279,7 @@ def add(ctx, model_path, model_name, engine, model_type, device, runtime_config, "tool_call_parser", "context_window", "worker_line_limit", + "worker_max_respawns", ] # One help panel per config.yaml key, keyed by the command path rich_click diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py index ba790342..01a66c72 100644 --- a/src/engine/worker/supervisor.py +++ b/src/engine/worker/supervisor.py @@ -120,6 +120,7 @@ def status(self) -> Dict[str, Any]: "state": self._state, "pid": self.pid, "respawns": self._respawns, + "max_respawns": self._max_respawns, } # -- lifecycle ------------------------------------------------------------- @@ -137,6 +138,15 @@ async def start(self, load_config: ModelLoadConfig, *, load_timeout: Optional[fl if load_config.worker_line_limit is not None else proto.PROTOCOL_LINE_LIMIT ) + # The respawn budget is per load episode; a per-model override + # (worker_max_respawns, see --worker-max-respawns) wins over the + # constructor default (2), exactly like the line limit. 0 or a negative + # number means "no limit" (the worker is always reloaded). + self._max_respawns = ( + load_config.worker_max_respawns + if load_config.worker_max_respawns is not None + else self._max_respawns + ) self._respawns = 0 self._closed = False timeout = self._load_timeout if load_timeout is None else load_timeout @@ -557,13 +567,22 @@ def _on_process_exited(self, code: Optional[int]) -> None: if self._load_config is None: self._set_state(self.STATE_DEAD) return - if self._respawns < self._max_respawns: + # 0 or negative is "no limit": the worker is reloaded every time it dies + # and is never quarantined (a positive N reintroduces the budget). + unlimited = self._max_respawns <= 0 + if unlimited or self._respawns < self._max_respawns: self._respawns += 1 self._set_state(self.STATE_RESTARTING) - logger.warning( - f"[{self._model_name}] respawning inference worker " - f"({self._respawns}/{self._max_respawns})" - ) + if unlimited: + logger.warning( + f"[{self._model_name}] respawning inference worker " + f"(respawn #{self._respawns}; no restart limit)" + ) + else: + logger.warning( + f"[{self._model_name}] respawning inference worker " + f"({self._respawns}/{self._max_respawns})" + ) self._respawn_task = asyncio.create_task( self._respawn(), name=f"ovworker-respawn-{self._model_name}" ) @@ -587,6 +606,19 @@ async def _respawn(self) -> None: except Exception as e: if self._closed: return + if self._max_respawns <= 0: + # No restart limit: a failed reload is never given up on -- keep + # trying to bring the worker back (backed off) until it comes up + # or the model is explicitly unloaded. + logger.error( + f"[{self._model_name}] worker respawn failed: {e}; " + f"will keep trying to reload it (no restart limit)" + ) + self._set_state(self.STATE_RESTARTING) + self._respawn_task = asyncio.create_task( + self._respawn(), name=f"ovworker-respawn-{self._model_name}" + ) + return logger.error(f"[{self._model_name}] worker respawn failed: {e}") self._set_state(self.STATE_DEAD) if self._on_dead is not None: diff --git a/src/server/schemas/registration.py b/src/server/schemas/registration.py index e1e0a506..33a61d24 100644 --- a/src/server/schemas/registration.py +++ b/src/server/schemas/registration.py @@ -178,6 +178,27 @@ class ModelLoadConfig(BaseModel): so an override applies on the next worker (re)start instead. """, ) + worker_max_respawns: Optional[int] = Field( + default=None, + description=""" + Maximum number of times this model's inference worker is + auto-restarted after an unexpected crash/wedge within one load episode, + before it gives up and the model is unloaded from the registry (so + readiness drops and an operator must reload it). This is the respawn + budget of a load (ovgenai and plain-openvino models only; ignored by + in-process engines). + + The worker is reloaded up to this many times, and on the next failure + after that it is quarantined (unloaded). When unset, the supervisor + default of 2 applies, so the worker is reloaded twice and quarantined + on the third failure -- hence the historical "reload did not work for + 3 times" behaviour. + + 0 or a negative number means NO limit: the worker is always reloaded and + is never automatically unloaded. Set this for a model that crashes + transiently and would otherwise be permanently quarantined. + """, + ) # --- Model-level request defaults, authored in config.yaml --- # Each entry is a plain dict of only the keys the author wrote, keyed by diff --git a/tests/unit/test_cli_add_unit.py b/tests/unit/test_cli_add_unit.py index 3c7c0c50..dff8e3cd 100644 --- a/tests/unit/test_cli_add_unit.py +++ b/tests/unit/test_cli_add_unit.py @@ -92,6 +92,63 @@ def test_add_omits_worker_line_limit_when_unspecified(tmp_path) -> None: assert "worker_line_limit" not in config["models"]["limit-model"]["load_config"] +def test_add_worker_max_respawns_positive_is_saved(tmp_path) -> None: + config_file = tmp_path / "openarc_config.json" + model_dir = _model_dir(tmp_path) + + result = _invoke_add(config_file, model_dir, "--worker-max-respawns", "5") + assert result.exit_code == 0, result.output + config = yaml.safe_load(config_file.read_text(encoding="utf-8")) + assert ( + config["models"]["limit-model"]["load_config"]["worker_max_respawns"] + == 5 + ) + + +def test_add_worker_max_respawns_zero_is_saved(tmp_path) -> None: + """``0`` is the "no limit" sentinel, not the absence of the setting: click + coerces it to ``0`` and it must round-trip as ``0`` (not be dropped as if + unset, not error as a rejected lower bound).""" + config_file = tmp_path / "openarc_config.json" + model_dir = _model_dir(tmp_path) + + result = _invoke_add(config_file, model_dir, "--worker-max-respawns", "0") + assert result.exit_code == 0, result.output + config = yaml.safe_load(config_file.read_text(encoding="utf-8")) + # 0 must round-trip as the integer 0, not be coalesced to None (absent). + assert ( + config["models"]["limit-model"]["load_config"]["worker_max_respawns"] == 0 + ) + + +def test_add_worker_max_respawns_negative_is_saved(tmp_path) -> None: + """A negative number is also "no limit" (the worker is always reloaded and + never quarantined). It must be accepted as a value -- click coerces + ``--worker-max-respawns -1`` to the int ``-1`` rather than misreading it as + an option flag -- and must round-trip as ``-1``.""" + config_file = tmp_path / "openarc_config.json" + model_dir = _model_dir(tmp_path) + + result = _invoke_add(config_file, model_dir, "--worker-max-respawns", "-1") + assert result.exit_code == 0, result.output + config = yaml.safe_load(config_file.read_text(encoding="utf-8")) + assert ( + config["models"]["limit-model"]["load_config"]["worker_max_respawns"] == -1 + ) + + +def test_add_omits_worker_max_respawns_when_unspecified(tmp_path) -> None: + """Untouched the option carries no value (None), so the supervisor keeps + its own default budget of 2 -- the key must not be written at all.""" + config_file = tmp_path / "openarc_config.json" + model_dir = _model_dir(tmp_path) + + result = _invoke_add(config_file, model_dir) + assert result.exit_code == 0, result.output + config = yaml.safe_load(config_file.read_text(encoding="utf-8")) + assert "worker_max_respawns" not in config["models"]["limit-model"]["load_config"] + + def test_add_does_not_save_vlm_type(tmp_path) -> None: config_file = tmp_path / "openarc_config.json" model_dir = _model_dir(tmp_path) diff --git a/tests/unit/test_remote_vlm_worker_unit.py b/tests/unit/test_remote_vlm_worker_unit.py index 22a25de8..6a9ae234 100644 --- a/tests/unit/test_remote_vlm_worker_unit.py +++ b/tests/unit/test_remote_vlm_worker_unit.py @@ -31,6 +31,7 @@ def _load_config( name: str = "stub-vlm", model_type: ModelType = ModelType.VLM, worker_line_limit: Optional[int] = None, + worker_max_respawns: Optional[int] = None, ) -> ModelLoadConfig: return ModelLoadConfig( model_path=str(tmp_path), @@ -39,6 +40,7 @@ def _load_config( engine=EngineType.OV_GENAI, device="CPU", worker_line_limit=worker_line_limit, + worker_max_respawns=worker_max_respawns, ) @@ -226,17 +228,26 @@ async def consume(): asyncio.run(_run()) -def test_respawn_budget_exhaustion_unloads_model(tmp_path, monkeypatch) -> None: - class _FakeRegistry: - def __init__(self): - self.unloaded: list = [] +class _FakeRegistry: + """Minimal stand-in for ModelRegistry for tests that only need to observe + how the facade's on_dead callback reports a permanently dead worker.""" + + def __init__(self): + self.unloaded: list = [] + + async def register_unload(self, model_name: str, administrative: bool = False) -> bool: + self.unloaded.append(model_name) + return True - async def register_unload(self, model_name: str, administrative: bool = False) -> bool: - self.unloaded.append(model_name) - return True +def test_respawn_budget_exhaustion_unloads_model(tmp_path, monkeypatch) -> None: + """With a positive budget (1, read from the load config and applied in + start()), the worker is reloaded once and is then quarantined (unloaded + from the registry) on the next failure -- the original respawn-budget + behaviour, now driven by the per-model worker_max_respawns field (the + supervisor's default of 2 is overridden by the config).""" monkeypatch.setenv("OPENARC_WORKER_STUB", "1") - config = _load_config(tmp_path) + config = _load_config(tmp_path, worker_max_respawns=1) async def _run(): registry = _FakeRegistry() @@ -244,21 +255,33 @@ async def _run(): # _FakeRegistry duck-types ModelRegistry for this test. config, registry=registry, # pyright: ignore[reportArgumentType] - max_respawns=0, load_timeout=30.0, ) await facade.load_model(config) + # The per-model override wins over the supervisor's default of 2. + assert facade.status()["max_respawns"] == 1 + first_pid = facade.worker_pid + # First crash: within the budget, the worker is brought back up. with pytest.raises(proto.RemoteWorkerError): await _drain(facade, _gen_config("CRASH")) + await _wait_for_respawn(facade, first_pid) + assert facade.status()["respawns"] == 1 + assert not registry.unloaded # not quarantined until the budget is spent - # Budget of 0: no respawn; the facade reports the death to the registry. + # Second crash: the budget is spent, so the model is quarantined + # (unloaded) instead of reloaded once more. + second_pid = facade.worker_pid + with pytest.raises(proto.RemoteWorkerError): + await _drain(facade, _gen_config("CRASH")) await _wait_for_state(facade, "dead") for _ in range(500): if registry.unloaded: break await asyncio.sleep(0.01) assert registry.unloaded == [config.model_name] + # The process was not respawned a third time. + assert facade.worker_pid == second_pid # And further requests fail fast. with pytest.raises(proto.RemoteWorkerDeadError): @@ -268,6 +291,69 @@ async def _run(): asyncio.run(_run()) +def test_worker_max_respawns_zero_is_unlimited(tmp_path, monkeypatch) -> None: + """worker_max_respawns=0 means no limit: past the default budget of 2 the + worker is reloaded on every crash and is never quarantined/unloaded.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, worker_max_respawns=0) + + async def _run(): + registry = _FakeRegistry() + facade = RemoteOVGenAI_VLM( + # _FakeRegistry duck-types ModelRegistry for this test. + config, + registry=registry, # pyright: ignore[reportArgumentType] + load_timeout=30.0, + ) + await facade.load_model(config) + assert facade.status()["max_respawns"] == 0 + + # Crash well past the default budget of 2: each crash respawns a fresh + # worker that returns ready, and nobody unloads the model. + pid = facade.worker_pid + for _ in range(6): + with pytest.raises(proto.RemoteWorkerError): + await _drain(facade, _gen_config("CRASH")) + await _wait_for_respawn(facade, pid) + pid = facade.worker_pid + assert not registry.unloaded + assert facade.status()["state"] == "ready" + assert facade.status()["respawns"] == 6 + assert registry.unloaded == [] + await facade._supervisor.unload() + + asyncio.run(_run()) + + +def test_worker_max_respawns_negative_is_unlimited(tmp_path, monkeypatch) -> None: + """A negative worker_max_respawns is also 'no limit' (never quarantined).""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path, worker_max_respawns=-1) + + async def _run(): + registry = _FakeRegistry() + facade = RemoteOVGenAI_VLM( + # _FakeRegistry duck-types ModelRegistry for this test. + config, + registry=registry, # pyright: ignore[reportArgumentType] + load_timeout=30.0, + ) + await facade.load_model(config) + assert facade.status()["max_respawns"] == -1 + + pid = facade.worker_pid + for _ in range(4): + with pytest.raises(proto.RemoteWorkerError): + await _drain(facade, _gen_config("CRASH")) + await _wait_for_respawn(facade, pid) + assert not registry.unloaded + assert facade.status()["state"] == "ready" + assert registry.unloaded == [] + await facade._supervisor.unload() + + asyncio.run(_run()) + + def test_load_failure_fails_start_and_cleans_up(tmp_path, monkeypatch) -> None: monkeypatch.setenv("OPENARC_WORKER_STUB", "1") monkeypatch.setenv("OPENARC_WORKER_STUB_FAIL_LOAD", "1") diff --git a/tests/unit/test_worker_plain_unit.py b/tests/unit/test_worker_plain_unit.py index a6b2738b..fa0841b8 100644 --- a/tests/unit/test_worker_plain_unit.py +++ b/tests/unit/test_worker_plain_unit.py @@ -37,6 +37,7 @@ def _load_config( tmp_path, name: str = "stub-kokoro", model_type: ModelType = ModelType.KOKORO, + worker_max_respawns: Optional[int] = None, ) -> ModelLoadConfig: return ModelLoadConfig( model_path=str(tmp_path), @@ -44,6 +45,7 @@ def _load_config( model_type=model_type, engine=EngineType.OPENVINO, device="CPU", + worker_max_respawns=worker_max_respawns, ) @@ -384,3 +386,36 @@ def test_openvino_worker_env_switch(tmp_path, monkeypatch) -> None: # Optimum models are not worker-routed (a later stage). assert _worker_enabled(EngineType.OV_OPTIMUM, ModelType.EMB) is False + + +def test_plain_worker_max_respawns_zero_is_unlimited(tmp_path, monkeypatch) -> None: + """The plain-OpenVINO supervisor inherits the respawn-budget policy: with + worker_max_respawns=0 the worker is reloaded on every native crash and is + never quarantined -- the default per-load budget of 2 is overridden by the + config, so the model survives past where it would otherwise be unloaded.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config( + tmp_path, + name="stub-tts", + model_type=ModelType.QWEN3_TTS_CUSTOM_VOICE, + worker_max_respawns=0, + ) + + async def _run(): + facade = RemoteOVQwen3TTS(config, load_timeout=30.0) + await facade.load_model(config) + assert facade.status()["max_respawns"] == 0 + + # Crash well past the default budget of 2: each crash respawns a fresh + # process that returns ready, and the model is never quarantined. + pid = facade.worker_pid + for _ in range(5): + with pytest.raises(proto.RemoteWorkerDeadError): + await facade.generate(_tts_config("CRASH")) + await _wait_for_respawn(facade, pid) + pid = facade.worker_pid + assert facade.status()["state"] == "ready" + assert facade.status()["respawns"] == 5 + await facade._supervisor.unload() + + asyncio.run(_run()) diff --git a/tests/unit/test_worker_protocol_unit.py b/tests/unit/test_worker_protocol_unit.py index 15fa3a33..18598254 100644 --- a/tests/unit/test_worker_protocol_unit.py +++ b/tests/unit/test_worker_protocol_unit.py @@ -145,3 +145,32 @@ def _cfg(**kwargs) -> ModelLoadConfig: # (a ~60 KB goose prompt) could never get through. with pytest.raises(ValueError): _cfg(worker_line_limit=4096) + + +def test_model_load_config_worker_max_respawns_validation() -> None: + from src.server.schemas.registration import ( + EngineType, + ModelLoadConfig, + ModelType, + ) + + def _cfg(**kwargs) -> ModelLoadConfig: + return ModelLoadConfig( + model_path="/models/mock", + model_name="max-respawns-model", + model_type=ModelType.LLM, + engine=EngineType.OV_GENAI, + device="CPU", + **kwargs, + ) + + # Default unset: the supervisor falls back to its own default (2), so the + # field is Optional and admits None. + assert _cfg().worker_max_respawns is None + # A positive number is the per-load-episode respawn budget. + assert _cfg(worker_max_respawns=5).worker_max_respawns == 5 + # 0 and a negative number are both accepted (not rejected by a lower + # bound): they mean "no limit" -- the worker is always loaded and is never + # automatically unloaded/quarantined. + assert _cfg(worker_max_respawns=0).worker_max_respawns == 0 + assert _cfg(worker_max_respawns=-3).worker_max_respawns == -3 From 1a40fd6eb22644849f861e6e7dca579637a7e862 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Mon, 28 Sep 2026 22:14:52 +0200 Subject: [PATCH 09/16] [#178] Added integration test for worker respawn at model failure. Including a tiny model (4.07Mb). --- tests/integration/_generate_tiny_ovllm.py | 105 + .../fixtures/tiny-gpt2-ov/config.json | 40 + .../tiny-gpt2-ov/generation_config.json | 6 + .../fixtures/tiny-gpt2-ov/openvino_model.bin | Bin 0 -> 410877 bytes .../fixtures/tiny-gpt2-ov/openvino_model.xml | 3276 + .../fixtures/tiny-gpt2-ov/tokenizer.json | 250326 +++++++++++++++ .../tiny-gpt2-ov/tokenizer_config.json | 13 + .../test_worker_respawn_integration.py | 491 + 8 files changed, 254257 insertions(+) create mode 100644 tests/integration/_generate_tiny_ovllm.py create mode 100644 tests/integration/fixtures/tiny-gpt2-ov/config.json create mode 100644 tests/integration/fixtures/tiny-gpt2-ov/generation_config.json create mode 100644 tests/integration/fixtures/tiny-gpt2-ov/openvino_model.bin create mode 100644 tests/integration/fixtures/tiny-gpt2-ov/openvino_model.xml create mode 100644 tests/integration/fixtures/tiny-gpt2-ov/tokenizer.json create mode 100644 tests/integration/fixtures/tiny-gpt2-ov/tokenizer_config.json create mode 100644 tests/integration/test_worker_respawn_integration.py diff --git a/tests/integration/_generate_tiny_ovllm.py b/tests/integration/_generate_tiny_ovllm.py new file mode 100644 index 00000000..1486075a --- /dev/null +++ b/tests/integration/_generate_tiny_ovllm.py @@ -0,0 +1,105 @@ +"""Generate a small, real OpenVINO GenAI LLM model for the worker tests. + +This produces ``tests/integration/fixtures/tiny-gpt2-ov`` -- a ~4 MB convert of +``sshleifer/tiny-gpt2`` that ``openvino_genai.LLMPipeline`` can *actually load +and run on the CPU plugin*. It exists so the integration test that verifies a +respawn after an unrecoverable OpenVINO error needs no GPU, no 0.6 B model, and +no pre-existing files under ``TEST_MODEL_PATH`` -- just this tiny artifact on +disk (or, if it is absent, a fresh download+convert via ``os.system``). + +It is intentionally a *separate* script, run with the ``optimum-intel`` venv, +because converting a HuggingFace model to OpenVINO IR pulls in ``optimum`` / +``optimum-intel`` -- which lives in its own venv (``pip install "optimum-intel"``, +see ``setup.sh``), not in the ``openarc-devel`` venv that runs the server and +the tests. It therefore takes no OpenArc dependencies at all. + +Run it once with:: + + ~/.local/pyvenv/optimum-intel/bin/python tests/integration/_generate_tiny_ovllm.py + # or into a custom dir: + OPTIMUM_INTEL .../python tests/integration/_generate_tiny_ovllm.py --out-dir /tmp/m + +``--out-dir`` defaults to ``/fixtures/tiny-gpt2-ov`` so a plain run +keeps the artifact inside the repo where it can be committed. +""" + +from __future__ import annotations + +import argparse +import os +import shutil +import sys +from pathlib import Path + +from huggingface_hub import snapshot_download + +from optimum.intel import OVModelForCausalLM + +# The smallest causal LM that (a) optimum-intel converts cleanly and (b) +# openvino_genai loads + runs on CPU in ~0.1 s. The resulting artifact is a few +# MB and small enough to commit (see the module docstring). +DEFAULT_MODEL = "sshleifer/tiny-gpt2" +SCRIPT_DIR = Path(__file__).resolve().parent +DEFAULT_OUT_DIR = SCRIPT_DIR / "fixtures" / "tiny-gpt2-ov" + +# Files that make a directory a loadable openvino_genai.LLMPipeline input. +_MODEL_FILES = ( + "openvino_model.xml", + "openvino_model.bin", + "config.json", + "generation_config.json", + "tokenizer.json", + "tokenizer_config.json", +) + + +def _copy_model_files(staging: Path, out_dir: Path) -> None: + """Keep only the IR + tokenizer files in out_dir (drop weights/hubs).""" + if out_dir.exists(): + shutil.rmtree(out_dir) + out_dir.mkdir(parents=True, exist_ok=True) + for name in _MODEL_FILES: + src = staging / name + if src.exists(): + shutil.copy(src, out_dir / name) + + +def generate(out_dir: Path, model: str = DEFAULT_MODEL) -> None: + cache_dir = Path(os.environ.get("OPENARC_TEST_MODEL_CACHE", "/tmp/openarc-test-models")) + cache_dir.mkdir(parents=True, exist_ok=True) + hf_dir = snapshot_download(model, cache_dir=cache_dir) + print(f"downloaded {model} -> {hf_dir}") + + # export=True compiles the Python model to OpenVINO IR while instantiating; + # save_pretrained then writes the IR + tokenizer + config to `staging`. + staging = cache_dir / f"{Path(hf_dir).name}-ov-out" + if staging.exists(): + shutil.rmtree(staging) + pipeline = OVModelForCausalLM.from_pretrained(hf_dir, export=True, load_in_8bit=False) + pipeline.save_pretrained(str(staging)) + + import transformers + + transformers.AutoTokenizer.from_pretrained(hf_dir).save_pretrained(str(staging)) + _copy_model_files(staging, out_dir) + total = sum( + p.stat().st_size + for p in out_dir.iterdir() + if p.is_file() + ) + print(f"wrote {sorted(p.name for p in out_dir.iterdir())} total={total} bytes ({total/1e6:.2f} MB)") + if total > 10 * 1024 * 1024: + print("WARNING: artifact exceeds 10 MiB; consider not committing it.") + + +def main(argv=None) -> int: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--out-dir", default=str(DEFAULT_OUT_DIR)) + parser.add_argument("--model", default=DEFAULT_MODEL) + args = parser.parse_args(argv) + generate(Path(args.out_dir).expanduser(), args.model) + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/tests/integration/fixtures/tiny-gpt2-ov/config.json b/tests/integration/fixtures/tiny-gpt2-ov/config.json new file mode 100644 index 00000000..c7a40886 --- /dev/null +++ b/tests/integration/fixtures/tiny-gpt2-ov/config.json @@ -0,0 +1,40 @@ +{ + "activation_function": "gelu_new", + "add_cross_attention": false, + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50256, + "embd_pdrop": 0.1, + "eos_token_id": 50256, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 1024, + "n_embd": 2, + "n_head": 2, + "n_inner": null, + "n_layer": 2, + "n_positions": 1024, + "pad_token_id": null, + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "task_specific_params": { + "text-generation": { + "do_sample": true, + "max_length": 50 + } + }, + "tie_word_embeddings": true, + "transformers_version": "5.10.4", + "use_cache": true, + "vocab_size": 50257 +} diff --git a/tests/integration/fixtures/tiny-gpt2-ov/generation_config.json b/tests/integration/fixtures/tiny-gpt2-ov/generation_config.json new file mode 100644 index 00000000..65bb5dc9 --- /dev/null +++ b/tests/integration/fixtures/tiny-gpt2-ov/generation_config.json @@ -0,0 +1,6 @@ +{ + "_from_model_config": true, + "bos_token_id": 50256, + "eos_token_id": 50256, + "transformers_version": "5.10.4" +} diff --git a/tests/integration/fixtures/tiny-gpt2-ov/openvino_model.bin 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"gre": 16694, + "Ġmagazines": 16695, + "UCK": 16696, + "Ġregulate": 16697, + "omon": 16698, + "ĠAlmost": 16699, + "Ġoverview": 16700, + "Ġscram": 16701, + "Ġloot": 16702, + "ĠFitz": 16703, + "Ġcharacteristic": 16704, + "ĠSnake": 16705, + "say": 16706, + "ĠRico": 16707, + "Ġtrait": 16708, + "ĠJoined": 16709, + "aucus": 16710, + "Ġadaptation": 16711, + "ĠAirlines": 16712, + "Ġarchae": 16713, + "ĠIde": 16714, + "Ġbikes": 16715, + "Ġliterary": 16716, + "Ġinfluences": 16717, + "ĠUsed": 16718, + "Creat": 16719, + "Ġplea": 16720, + "ĠDefence": 16721, + "ĠAssass": 16722, + "Ġpond": 16723, + "ULT": 16724, + ")\"": 16725, + "Ġevaluated": 16726, + "Ġobtaining": 16727, + "Ġdemographic": 16728, + "Ġvigil": 16729, + "aley": 16730, + "Ġspouse": 16731, + "ĠSeahawks": 16732, + "respons": 16733, + "ĠBelt": 16734, + "umatic": 16735, + "Ġrises": 16736, + "runner": 16737, + "ĠMichelle": 16738, + "Ġpotent": 16739, + "race": 16740, + "ĠPAC": 16741, + "Find": 16742, + "olesterol": 16743, + "ISS": 16744, + 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16848, + "ĠLebanon": 16849, + "olesc": 16850, + "Ġpunished": 16851, + "ĠJuan": 16852, + "Ġjam": 16853, + "ĠDocument": 16854, + "Ġmapping": 16855, + "icates": 16856, + "Ġinevitably": 16857, + "Ġvanilla": 16858, + "ĠTon": 16859, + "Ġwatches": 16860, + "Ġleagues": 16861, + "Ġinitiated": 16862, + "degree": 16863, + "portion": 16864, + "Ġrecalls": 16865, + "Ġruin": 16866, + "Ġmelt": 16867, + "IAN": 16868, + "Ġhem": 16869, + "Exp": 16870, + "Ġbaking": 16871, + "ĠColomb": 16872, + "atible": 16873, + "Ġradius": 16874, + "plug": 16875, + "ĠIF": 16876, + "etically": 16877, + "Ġfict": 16878, + "HER": 16879, + "ĠTap": 16880, + "atinum": 16881, + "Ġink": 16882, + "Ġcoh": 16883, + "ĠWizard": 16884, + "both": 16885, + "tex": 16886, + "Ġspends": 16887, + "ĠCurrently": 16888, + "ĠPit": 16889, + "Ġneurons": 16890, + "ignt": 16891, + "Ġrall": 16892, + "Ġbuses": 16893, + "building": 16894, + "Ġadjustments": 16895, + "Ġcried": 16896, + "iblical": 16897, + "atted": 16898, + "ĠZion": 16899, + "ĠMatter": 16900, + "Ġmeditation": 16901, + "ĠDennis": 16902, + "Ġours": 16903, + "ĠTab": 16904, + "Ġrankings": 16905, + "ortal": 16906, + "Ġadvers": 16907, + "Ġsurrender": 16908, + "ĠGob": 16909, + "cium": 16910, + "omas": 16911, + "imeter": 16912, + "Ġmultiplayer": 16913, + "Ġheroin": 16914, + "Ġoptimistic": 16915, + "Ġindicator": 16916, + "ĠBrig": 16917, + "Ġgrocery": 16918, + "Ġapplicant": 16919, + "ĠRocket": 16920, + "vid": 16921, + "Exception": 16922, + "pent": 16923, + "Ġorganizing": 16924, + "Ġencounters": 16925, + "ĠTOD": 16926, + "Ġjewel": 16927, + "Save": 16928, + "ĠChristie": 16929, + "Ġheating": 16930, + "Ġlazy": 16931, + "ĠCP": 16932, + "Ġcousin": 16933, + "Config": 16934, + "Ġregener": 16935, + "Ġnearest": 16936, + "Ġachieving": 16937, + "ENS": 16938, + "throw": 16939, + "ĠRichmond": 16940, + "antle": 16941, + "2002": 16942, + "Ġanten": 16943, + "bird": 16944, + "133": 16945, + "Ġnarc": 16946, + "raint": 16947, + "unny": 16948, + "ĠHispanic": 16949, + "ournaments": 16950, + 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"ĠCohen": 17154, + "ĠBobby": 17155, + "Ġner": 17156, + "Ġbent": 17157, + "ventory": 17158, + "ĠAlong": 17159, + "ĠEST": 17160, + "ĠWallace": 17161, + "Ġmurders": 17162, + "rise": 17163, + "kell": 17164, + "ĠCommonwealth": 17165, + "Ġnasty": 17166, + "eta": 17167, + "ĠMIT": 17168, + "Ġadministered": 17169, + "Ġgenuinely": 17170, + "Editor": 17171, + "nick": 17172, + "Ġhydro": 17173, + "********************************": 17174, + "ĠBle": 17175, + "Ġfines": 17176, + "Ġgorge": 17177, + "ausible": 17178, + "rh": 17179, + "Ġapple": 17180, + "mentioned": 17181, + "Ġrope": 17182, + "otyp": 17183, + "HR": 17184, + "Ġdisappointing": 17185, + "Ġcage": 17186, + "nik": 17187, + "Ġdoubts": 17188, + "ĠFREE": 17189, + "prints": 17190, + "ĠMUST": 17191, + "Ġvendors": 17192, + "ĠInqu": 17193, + "Ġliberals": 17194, + "Ġcontractor": 17195, + "Ġupside": 17196, + "children": 17197, + "Ġtricky": 17198, + "Ġregulators": 17199, + "charged": 17200, + "liter": 17201, + "Ġ***": 17202, + "Ġrebell": 17203, + "lang": 17204, + "Ġlocals": 17205, + "Ġphysicians": 17206, + "Ġhey": 17207, + "arse": 17208, + "tm": 17209, + "ĠLex": 17210, + "Ġbehavioral": 17211, + "successful": 17212, + "FX": 17213, + "Ġbrick": 17214, + "ovic": 17215, + "Ġconform": 17216, + "Ġreviewing": 17217, + "Ġinsights": 17218, + "Ġbiology": 17219, + "ĠRemove": 17220, + "ĠExtra": 17221, + "Ġcommitting": 17222, + "induced": 17223, + "ignty": 17224, + "igm": 17225, + "Ġatomic": 17226, + "Common": 17227, + "ĠEM": 17228, + "ĠPere": 17229, + "ĠItems": 17230, + "eh": 17231, + "Ġpreserved": 17232, + "ĠHood": 17233, + "Ġprisoner": 17234, + "Ġbankruptcy": 17235, + "Ġgren": 17236, + "ushes": 17237, + "Ġexploitation": 17238, + "Ġsignatures": 17239, + "Ġfinan": 17240, + "],\"": 17241, + "ĠMR": 17242, + "Ġmeg": 17243, + "remlin": 17244, + "Ġmusicians": 17245, + "Ġselecting": 17246, + "Ġexamining": 17247, + "INK": 17248, + "lated": 17249, + "Hi": 17250, + "Ġartic": 17251, + "Ġpets": 17252, + "Ġimpair": 17253, + "ĠMAN": 17254, + "Ġtablets": 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"auts": 17712, + "Ġundoubtedly": 17713, + "arin": 17714, + "Ġunderway": 17715, + "rak": 17716, + "Ġliv": 17717, + "ĠRegion": 17718, + "Ġbriefing": 17719, + "sers": 17720, + "cloud": 17721, + "ĠMik": 17722, + "usp": 17723, + "Ġprediction": 17724, + "azor": 17725, + "Ġportable": 17726, + "ĠGand": 17727, + "Ġpresenting": 17728, + "Ġ1080": 17729, + "»": 17730, + "ushi": 17731, + "ĠSpark": 17732, + "thereum": 17733, + "Ġjustification": 17734, + "ĠNy": 17735, + "Ġcontractors": 17736, + "mingham": 17737, + "ĠStyle": 17738, + "åħ": 17739, + "ĠChronicles": 17740, + "ĠPicture": 17741, + "Ġproving": 17742, + "Ġwives": 17743, + "sett": 17744, + "Ġmolecules": 17745, + "ĠFairy": 17746, + "Ġconsisting": 17747, + "Ġpier": 17748, + "alone": 17749, + "inition": 17750, + "Ġnucle": 17751, + "json": 17752, + "Ġgotta": 17753, + "Ġmobil": 17754, + "Ġverbal": 17755, + "arium": 17756, + "Ġmonument": 17757, + "ucked": 17758, + "Ġ256": 17759, + "Tech": 17760, + "minecraft": 17761, + "ĠTrack": 17762, + "Ġtile": 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17812, + "Ġfrankly": 17813, + "Ġenacted": 17814, + "notes": 17815, + "['": 17816, + "Ġ192": 17817, + "ocracy": 17818, + "Ġendorsement": 17819, + "Ġovertime": 17820, + "True": 17821, + "Lab": 17822, + "licted": 17823, + "ĠDNC": 17824, + "Ġbeats": 17825, + "ĠJamie": 17826, + "152": 17827, + "ĠINT": 17828, + "Contact": 17829, + "Ġaccounted": 17830, + "hash": 17831, + "ĠPackers": 17832, + "pires": 17833, + "Ġlesbian": 17834, + "Ġamendments": 17835, + "Ġhopeful": 17836, + "ĠFinland": 17837, + "Ġspotlight": 17838, + "Ġconfigured": 17839, + "Ġtroubled": 17840, + "Ġgaze": 17841, + "ĠCalgary": 17842, + "Ġreliability": 17843, + "Ġinsurg": 17844, + "swer": 17845, + "buy": 17846, + "ĠSkin": 17847, + "Ġpixels": 17848, + "Ġhandgun": 17849, + "Ġparas": 17850, + "Ġcategor": 17851, + "ĠEL": 17852, + "ĠRex": 17853, + "Indeed": 17854, + "Ġkinda": 17855, + "Ġconjunction": 17856, + "ĠBryan": 17857, + "ĠManufact": 17858, + "yang": 17859, + "Plus": 17860, + "SQL": 17861, + "ishment": 17862, + "Ġdominate": 17863, + "Ġnail": 17864, + "Ġoath": 17865, + "Ġerupt": 17866, + "ĠFine": 17867, + "itbart": 17868, + "ĠChip": 17869, + "ĠAbd": 17870, + "ĠNam": 17871, + "Ġbuyer": 17872, + "Ġdissent": 17873, + "Leaks": 17874, + "Contin": 17875, + "Ġrider": 17876, + "ĠSomeone": 17877, + "Ġillusion": 17878, + "cin": 17879, + "ĠBoeing": 17880, + "Ġinadequ": 17881, + "ovation": 17882, + "iants": 17883, + "Ġrebuild": 17884, + "450": 17885, + "ĠDestiny": 17886, + "SW": 17887, + "ĠTill": 17888, + "Hit": 17889, + "iaz": 17890, + "ĠBangl": 17891, + "achers": 17892, + "ĠReform": 17893, + "Ġsegments": 17894, + "Ġsystematic": 17895, + "dc": 17896, + "ĠConservatives": 17897, + "Ġportal": 17898, + "hor": 17899, + "ĠDragonbound": 17900, + "Ġdragged": 17901, + "omo": 17902, + "Ġthee": 17903, + "advert": 17904, + "ĠReports": 17905, + "ĠEt": 17906, + "Ġbarrels": 17907, + "August": 17908, + "Ġcomparisons": 17909, + "Ġhex": 17910, + "Ġanthrop": 17911, + "\"[": 17912, + "borough": 17913, + "abi": 17914, + "Ġpictured": 17915, + "playing": 17916, + "ĠAddress": 17917, + "ĠMirror": 17918, + "Smith": 17919, + "Ġtires": 17920, + "ĠNPR": 17921, + "AAAA": 17922, + "Ġclassification": 17923, + "ĠThan": 17924, + "ĠHarm": 17925, + "ĠRA": 17926, + "Ġrejection": 17927, + "mination": 17928, + "Ġranged": 17929, + "ĠFalls": 17930, + "DI": 17931, + "Host": 17932, + "ãĤ´": 17933, + "ĠExample": 17934, + "listed": 17935, + "thirds": 17936, + "Ġsafegu": 17937, + "brand": 17938, + "Ġprobable": 17939, + "Canada": 17940, + "ITION": 17941, + "ĠQaeda": 17942, + "Ġchick": 17943, + "Ġimports": 17944, + "hit": 17945, + "loc": 17946, + "WW": 17947, + "Ġblew": 17948, + "Ġanytime": 17949, + "Ġwholes": 17950, + "iked": 17951, + "Ġcalculation": 17952, + "create": 17953, + "ĠOri": 17954, + "Ġupgraded": 17955, + "Ġappar": 17956, + "utory": 17957, + "ĠMol": 17958, + "Brit": 17959, + "ĠJong": 17960, + "INAL": 17961, + "ĠStarting": 17962, + "Ġdice": 17963, + "urtle": 17964, + "Ġrelying": 17965, + "closure": 17966, + "Ġprofitable": 17967, 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"ĠCardinals": 18071, + "telling": 18072, + "Ġsponsors": 18073, + "ĠÏ": 18074, + "ĠBulls": 18075, + "option": 18076, + "Ġpropose": 18077, + "Ġmemorable": 18078, + "Ġembraced": 18079, + "Ġdeclining": 18080, + "Health": 18081, + "eda": 18082, + "Ġ};": 18083, + "Ġspam": 18084, + "mile": 18085, + "Ġpitcher": 18086, + "ĠEight": 18087, + "Ġcaring": 18088, + "utic": 18089, + "role": 18090, + "Ġairline": 18091, + "ernandez": 18092, + "ĠAthlet": 18093, + "Ġcertification": 18094, + "uxe": 18095, + "riger": 18096, + "Ġempir": 18097, + "Ġsensation": 18098, + "Ġdism": 18099, + "Ġbolt": 18100, + "Ġevolve": 18101, + "House": 18102, + "Ġconsultation": 18103, + "ĠDuty": 18104, + "Ġtouches": 18105, + "ĠNathan": 18106, + "Ġfaint": 18107, + "had": 18108, + "\"(": 18109, + "ĠConsumer": 18110, + "ĠExtreme": 18111, + "Ġ127": 18112, + "ĠHerm": 18113, + "ĠSacrament": 18114, + "izoph": 18115, + "Ġanxious": 18116, + "ulously": 18117, + "Ġsocially": 18118, + "ĠUTC": 18119, + "Ġsolving": 18120, + "ĠLetter": 18121, + "History": 18122, + "educ": 18123, + "Price": 18124, + "));": 18125, + "Ġreload": 18126, + "amic": 18127, + "Ġpork": 18128, + "Ġdiscourse": 18129, + "Ġtournaments": 18130, + "airo": 18131, + "ĠKur": 18132, + "ĠCosta": 18133, + "Ġviolating": 18134, + "Ġinterfere": 18135, + "Ġrecreational": 18136, + "uffle": 18137, + "Ġspeeches": 18138, + "Ġneeding": 18139, + "Ġremembers": 18140, + "Ġcredited": 18141, + "nia": 18142, + "focused": 18143, + "amera": 18144, + "Ġbru": 18145, + "umbs": 18146, + "ĠCuban": 18147, + "Ġpreceding": 18148, + "Ġnonsense": 18149, + "acial": 18150, + "Ġsmartphones": 18151, + "ĠStories": 18152, + "Sports": 18153, + "ĠEmergency": 18154, + "ouncing": 18155, + "efined": 18156, + "Ġber": 18157, + "Ġconsulting": 18158, + "Ġmasters": 18159, + "heastern": 18160, + ".\"[": 18161, + "ĠRunning": 18162, + "Ġsuscept": 18163, + "ĠFeng": 18164, + "America": 18165, + "prises": 18166, + "stitial": 18167, + "ĠWeekly": 18168, + "ĠGreater": 18169, + "modules": 18170, + "ifter": 18171, 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18222, + "great": 18223, + "error": 18224, + "Ġswitches": 18225, + "ĠBapt": 18226, + "DO": 18227, + "oki": 18228, + "Ġsourced": 18229, + "produ": 18230, + "Ġattachment": 18231, + "ĠIssue": 18232, + "ĠQuestion": 18233, + "Join": 18234, + "Ġfitted": 18235, + "Ġunlawful": 18236, + "^^": 18237, + "erek": 18238, + "Ġauthentication": 18239, + "Ġstole": 18240, + "Ġaccountability": 18241, + "label": 18242, + "Search": 18243, + "Ġalbeit": 18244, + "atican": 18245, + "funded": 18246, + "ĠAdding": 18247, + "ĠIQ": 18248, + "Ġsubmar": 18249, + "lit": 18250, + "aque": 18251, + "ĠLearning": 18252, + "Ġinteger": 18253, + "Master": 18254, + "ĠChrom": 18255, + "Ġpremier": 18256, + "Op": 18257, + "ĠLiu": 18258, + "Ġblessed": 18259, + "ĠGlobe": 18260, + "ĠResponse": 18261, + "Ġlegitim": 18262, + "ĠMerkel": 18263, + "Ġdisposal": 18264, + "´": 18265, + "Ġgauge": 18266, + "peat": 18267, + "Ġinduced": 18268, + "Ġquestionable": 18269, + "arthy": 18270, + "ĠVit": 18271, + "ĠFeed": 18272, + "Until": 18273, + "Ut": 18274, + "worthy": 18275, + "RY": 18276, + "ĠHerald": 18277, + "ĠHammer": 18278, + "Ġmedal": 18279, + "ĠRivers": 18280, + "ĠHack": 18281, + "Ġclarify": 18282, + "Ġtracked": 18283, + "Ġautonomous": 18284, + "Ġtenant": 18285, + "ĠQatar": 18286, + "erie": 18287, + "Ġgrim": 18288, + "ĠMonitor": 18289, + "Ġresistant": 18290, + "ĠSpec": 18291, + "ĠWells": 18292, + "NAS": 18293, + "148": 18294, + "Ġminers": 18295, + "iotics": 18296, + "Ġmisses": 18297, + "116": 18298, + "gian": 18299, + "git": 18300, + "ĠEyes": 18301, + "pres": 18302, + "Ġgraduated": 18303, + "Ġangel": 18304, + "Ġsynchron": 18305, + "Ġefficiently": 18306, + "Ġtransmitted": 18307, + "Harry": 18308, + "Ġglobally": 18309, + "ENCE": 18310, + "ĠMontana": 18311, + "raged": 18312, + "ĠPrevention": 18313, + "Ġpiss": 18314, + "ĠLl": 18315, + "Ġshelf": 18316, + "ĠBJP": 18317, + "ĠTestament": 18318, + "ĠLate": 18319, + "iker": 18320, + "ĠHapp": 18321, + "ĠJulian": 18322, + "hall": 18323, + "Ġspont": 18324, + "Ġshutdown": 18325, + "Ġinconsistent": 18326, + "Ġsubscribers": 18327, + "Ġskeleton": 18328, + "ĠNebraska": 18329, + "Ġinspire": 18330, + "ĠVoid": 18331, + "Feed": 18332, + "Ġangles": 18333, + "ĠSprings": 18334, + "Ġbenchmark": 18335, + "Ġvaccines": 18336, + "izophren": 18337, + "sexual": 18338, + "uffed": 18339, + "Ġshine": 18340, + "ĠKath": 18341, + "Ġgesture": 18342, + "inea": 18343, + "Ġrip": 18344, + "Ġoppression": 18345, + "Ġconscience": 18346, + "bt": 18347, + "ĠLum": 18348, + "Ġincidence": 18349, + "ĠFa": 18350, + "wr": 18351, + "Ġmineral": 18352, + "ĠSpurs": 18353, + "alky": 18354, + "Ġthunder": 18355, + "Ġopio": 18356, + "Being": 18357, + "ĠPalm": 18358, + "Ġwasted": 18359, + "Ġlb": 18360, + "iaries": 18361, + "ĠInitiative": 18362, + "Ġcurric": 18363, + "Ġmarker": 18364, + "ĠMcL": 18365, + "Ġextensions": 18366, + "ĠPv": 18367, + "ĠArms": 18368, + "Ġofferings": 18369, + "Ġdefenses": 18370, + "Ġvendor": 18371, + "Ġcontradict": 18372, + "ĠColin": 18373, + "Ġreddit": 18374, + "Ġperipher": 18375, + "122": 18376, + "Ġsins": 18377, + "Edit": 18378, + "ICT": 18379, + "Soft": 18380, + "ĠShah": 18381, + "Ġadministrator": 18382, + "ĠTrip": 18383, + "Ġpornography": 18384, + "Ġtuition": 18385, + "inence": 18386, + "ĠProgress": 18387, + "Ġcatalog": 18388, + "Ġsuite": 18389, + "Ġhike": 18390, + "Ġreproductive": 18391, + "engine": 18392, + "Ġdrought": 18393, + "ĠNoah": 18394, + "Ġ230": 18395, + "Ġdude": 18396, + "Ġrelaxed": 18397, + "Ġpartition": 18398, + "Ġparticipant": 18399, + "Ġtelesc": 18400, + "Ġfeas": 18401, + "ĠFF": 18402, + "owner": 18403, + "Ġsweeping": 18404, + "Ġlenses": 18405, + "Ġmatchup": 18406, + "ĠRepl": 18407, + "ournals": 18408, + "Ġcredible": 18409, + "Ġgrandmother": 18410, + "Ġthermal": 18411, + "Ġsubscribing": 18412, + "Ġidentities": 18413, + "colm": 18414, + "UCT": 18415, + "Ġreluctant": 18416, + "users": 18417, + "ĠCort": 18418, + "Ġassisted": 18419, + "OSS": 18420, + "ATIONS": 18421, + "ISH": 18422, + "Ġpharmaceutical": 18423, + "icable": 18424, + "adian": 18425, + "ĠSonic": 18426, + "ĠFury": 18427, + "ĠMong": 18428, + "AH": 18429, + "ĠPsychology": 18430, + "Ġphosph": 18431, + "Ġtreats": 18432, + "ŃĶ": 18433, + "Ġsteadily": 18434, + "ĠHello": 18435, + "Ġrelates": 18436, + "Ġclue": 18437, + "Expl": 18438, + "auth": 18439, + "Ġrevision": 18440, + "Ġeld": 18441, + "osion": 18442, + "Ġbron": 18443, + "144": 18444, + "rikes": 18445, + "Ġmines": 18446, + "Ġblanket": 18447, + "ĠFail": 18448, + "eled": 18449, + "ĠImagine": 18450, + "ĠPlanned": 18451, + "aic": 18452, + "Request": 18453, + "Mad": 18454, + "ĠHorse": 18455, + "ĠEagle": 18456, + "Ġcapac": 18457, + "157": 18458, + "Ġling": 18459, + "ĠNice": 18460, + "ĠParenthood": 18461, + "minster": 18462, + "ogs": 18463, + "ensitive": 18464, + "Nothing": 18465, + "Ġcarn": 18466, + "Fin": 18467, + "ĠPE": 18468, + "Ġrifles": 18469, + "ĠLP": 18470, + "Sand": 18471, + "ĠguiActive": 18472, + "Ġtourist": 18473, + "CNN": 18474, + "Ġunveiled": 18475, + "Ġpredecessor": 18476, + "}{": 18477, + "uber": 18478, + "Ġoffshore": 18479, + "Ġoptical": 18480, + "ĠRot": 18481, + "ĠPearl": 18482, + "eton": 18483, + "Ġstared": 18484, + "Ġfarther": 18485, + "atility": 18486, + "contin": 18487, + "ĠGy": 18488, + "ĠFoster": 18489, + "ĠCoc": 18490, + "rients": 18491, + "Ġdesigning": 18492, + "ĠEconomy": 18493, + "ONG": 18494, + "Women": 18495, + "ĠNancy": 18496, + "erver": 18497, + "Ġmascul": 18498, + "Ġcasualties": 18499, + "Ġ225": 18500, + "ĠSullivan": 18501, + "ĠChoice": 18502, + "Ġaster": 18503, + "ws": 18504, + "Ġhotels": 18505, + "Ġconsiderations": 18506, + "Ġcouch": 18507, + "ĠStrip": 18508, + "ĠGn": 18509, + "Ġmanipulate": 18510, + "lied": 18511, + "Ġsynthetic": 18512, + "Ġassaulted": 18513, + "Ġoffenses": 18514, + "ĠDrake": 18515, + "Ġimpe": 18516, + "October": 18517, + "ĠHeritage": 18518, + "hl": 18519, + "ĠBlair": 18520, + "Unlike": 18521, + "Ġgrief": 18522, + "Ġ450": 18523, + "Ġopted": 18524, + "Ġresignation": 18525, + "ilo": 18526, + "Ġverse": 18527, + "ĠTomb": 18528, + "Ġupt": 18529, + "Ġaired": 18530, + "ĠHook": 18531, + "ĠMLB": 18532, + "Ġassumes": 18533, + "outed": 18534, + "ĠVers": 18535, + "Ġinferior": 18536, + "Ġbundle": 18537, + "ĠDNS": 18538, + "ographer": 18539, + "Ġmultip": 18540, + "ĠSouls": 18541, + "Ġillustrated": 18542, + "Ġtactic": 18543, + "Ġdressing": 18544, + "Ġduo": 18545, + "Conf": 18546, + "Ġrelent": 18547, + "Ġcant": 18548, + "Ġscarce": 18549, + "Ġcandy": 18550, + "ĠCF": 18551, + "Ġaffiliated": 18552, + "Ġsprint": 18553, + "ylan": 18554, + "ĠGarcia": 18555, + "Ġjunk": 18556, + "Print": 18557, + "exec": 18558, + "Crit": 18559, + "Ġportrait": 18560, + "iries": 18561, + "ĠOFF": 18562, + "Ġdisputes": 18563, + "WR": 18564, + "Love": 18565, + "ãģĦ": 18566, + "ĠReyn": 18567, + "Ġhipp": 18568, + "opath": 18569, + "Ġfloors": 18570, + "ĠFeel": 18571, + "Ġworries": 18572, + "Ġsettlements": 18573, + "ĠPos": 18574, + "Ġmosque": 18575, + "Ġfinals": 18576, + "Ġcrushed": 18577, + "ĠProbably": 18578, + "ĠBot": 18579, + "ĠMans": 18580, + "ĠPeriod": 18581, + "Ġsovereignty": 18582, + "Ġseller": 18583, + "Ġapost": 18584, + "Ġamateur": 18585, + "Ġdorm": 18586, + "Ġconsuming": 18587, + "Ġarmour": 18588, + "ĠRoose": 18589, + "Ġintensive": 18590, + "Ġeliminating": 18591, + "ĠSunni": 18592, + "ĠAleppo": 18593, + "jin": 18594, + "Ġadvise": 18595, + "pal": 18596, + "ĠHalo": 18597, + "Ġdescent": 18598, + "Ġsimpler": 18599, + "Ġbooth": 18600, + "STR": 18601, + "Later": 18602, + "ĠCave": 18603, + "===": 18604, + "Ġmol": 18605, + "Ġfist": 18606, + "Ġshotgun": 18607, + "supp": 18608, + "Ġrobbery": 18609, + "Effect": 18610, + "Ġobscure": 18611, + "ĠProfessional": 18612, + "Ġembassy": 18613, + "Ġmilitant": 18614, + "Ġincarcer": 18615, + "Ġgenerates": 18616, + "Ġlaunches": 18617, + "Ġadministrators": 18618, + "Ġshaft": 18619, + "Ġcircular": 18620, + "Ġfreshman": 18621, + "ĠWes": 18622, + "ĠJoel": 18623, + "ĠDrew": 18624, + "ĠDuncan": 18625, + "ĠApparently": 18626, + "sight": 18627, + "ĠInternal": 18628, + "ĠIndividual": 18629, + "ĠFE": 18630, + "Ġbore": 18631, + "ĠMt": 18632, + "Ġbroadly": 18633, + "ĠOptions": 18634, + "ountain": 18635, + "ipes": 18636, + "ĠVideos": 18637, + "204": 18638, + "Ġhills": 18639, + "Ġsimulation": 18640, + "Ġdisappointment": 18641, + "itan": 18642, + "ĠLaboratory": 18643, + "Ġupward": 18644, + "Ġboundary": 18645, + "Ġdarker": 18646, + "hart": 18647, + "Ġdominance": 18648, + "Cong": 18649, + "ĠOracle": 18650, + "ĠLords": 18651, + "Ġscholarship": 18652, + "ĠVincent": 18653, + "ede": 18654, + "ĠRah": 18655, + "Ġencourages": 18656, + "rov": 18657, + "Ġquo": 18658, + "Ġpremise": 18659, + "ĠCrisis": 18660, + "ĠHolocaust": 18661, + "Ġrhythm": 18662, + "Ġmetric": 18663, + "club": 18664, + "Ġtransported": 18665, + "Ġnod": 18666, + "ĠPist": 18667, + "Ġancestors": 18668, + "ĠFreder": 18669, + "thumbnails": 18670, + "ĠCE": 18671, + "OND": 18672, + "Phil": 18673, + "venge": 18674, + "ĠProducts": 18675, + "castle": 18676, + "Ġqualifying": 18677, + "ĠKaren": 18678, + "VERTISEMENT": 18679, + "Ġmighty": 18680, + "Ġexplanations": 18681, + "Ġfixing": 18682, + "Di": 18683, + "Ġdeclaring": 18684, + "Ġanonymity": 18685, + "Ġjuven": 18686, + "ĠNord": 18687, + "ĠDoom": 18688, + "ĠActually": 18689, + "Ok": 18690, + "phis": 18691, + "ĠDesert": 18692, + "Ġ116": 18693, + "IK": 18694, + "ĠFM": 18695, + "Ġincomes": 18696, + "VEL": 18697, + "okers": 18698, + "Ġpecul": 18699, + "Ġlightweight": 18700, + "gue": 18701, + "Ġaccent": 18702, + "Ġincrement": 18703, + "ĠChan": 18704, + "Ġcomplaining": 18705, + "ĠBaghd": 18706, + "Ġmidfielder": 18707, + "Ġoverhaul": 18708, + "Process": 18709, + "ĠHollow": 18710, + "ĠTitans": 18711, + "Small": 18712, + "manuel": 18713, + "ĠUnity": 18714, + "ĠEvents": 18715, + "Sty": 18716, + "Ġdisproportion": 18717, + "nesty": 18718, + "enes": 18719, + "ĠCod": 18720, + "Ġdemonstrations": 18721, + "ĠCrimson": 18722, + "ĠOH": 18723, + "Ġenrolled": 18724, + "Ġcel": 18725, + "ĠBrett": 18726, + "Ġaide": 18727, + "Ġheels": 18728, + "Ġbroadband": 18729, + "Ġmarking": 18730, + "Ġwizard": 18731, + "ĠNJ": 18732, + "ĠChiefs": 18733, + "Ġingredient": 18734, + "Ġdug": 18735, + "ĠShut": 18736, + "urchase": 18737, + "endor": 18738, + "Ġfarmer": 18739, + "ĠGoldman": 18740, + "129": 18741, + "155": 18742, + "Order": 18743, + "Ġlion": 18744, + "iably": 18745, + "Ġstain": 18746, + "array": 18747, + "ilitary": 18748, + "ĠFAQ": 18749, + "Ġexploded": 18750, + "ĠMcCarthy": 18751, + "ĠTweet": 18752, + "ĠGreens": 18753, + "eking": 18754, + "ln": 18755, + "ensen": 18756, + "Ġmotorcycle": 18757, + "Ġparticle": 18758, + "Ġcholesterol": 18759, + "Bron": 18760, + "Ġstair": 18761, + "Ġoxid": 18762, + "Ġdesirable": 18763, + "ibles": 18764, + "Ġtheor": 18765, + "forcing": 18766, + "Ġpromotional": 18767, + "ovo": 18768, + "boot": 18769, + "ĠBonus": 18770, + "rawling": 18771, + "Ġshortage": 18772, + "ĠPsy": 18773, + "Ġrecruited": 18774, + "Ġinfants": 18775, + "Ġtestosterone": 18776, + "Ġdeduct": 18777, + "Ġdistinctive": 18778, + "Ġfirmware": 18779, + "built": 18780, + "145": 18781, + 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"eyed": 18834, + "unal": 18835, + "Ġcricket": 18836, + "Ġarmies": 18837, + "Ġuncovered": 18838, + "Cloud": 18839, + "ón": 18840, + "Ġrebounds": 18841, + "Ġmes": 18842, + "Oper": 18843, + "Pac": 18844, + "Ġnationally": 18845, + "Ġinserted": 18846, + "pict": 18847, + "Ġgovernance": 18848, + "и": 18849, + "Ġprivileges": 18850, + "GET": 18851, + "Ġfavorites": 18852, + "imity": 18853, + "Ġlover": 18854, + "them": 18855, + "empl": 18856, + "Ġgorgeous": 18857, + "Ann": 18858, + "Ġslipped": 18859, + "Ġveto": 18860, + "Bob": 18861, + "Ġslim": 18862, + "ucc": 18863, + "ĠFame": 18864, + "uddenly": 18865, + "Ġdenies": 18866, + "ĠMaur": 18867, + "Ġdistances": 18868, + "Ġwanna": 18869, + "tar": 18870, + "ĠSER": 18871, + "ĠâĪ": 18872, + "Ġlemon": 18873, + "athetic": 18874, + "Ġliteral": 18875, + "Ġdistinguished": 18876, + "Ġanswering": 18877, + "GI": 18878, + "Ġreligions": 18879, + "ĠPhilos": 18880, + "ĠLay": 18881, + "Ġcompos": 18882, + "irements": 18883, + "ĠKos": 18884, + "inez": 18885, + 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"Ġsqueeze": 21229, + "safe": 21230, + "Ġprefix": 21231, + "ĠTM": 21232, + "ĠNearly": 21233, + "ĠClinical": 21234, + "ĠMental": 21235, + "otiation": 21236, + "ĠUnic": 21237, + "antry": 21238, + "ĠCir": 21239, + "Ġepit": 21240, + "æ": 21241, + "Ġextracted": 21242, + "versely": 21243, + "riad": 21244, + "Ġstrains": 21245, + "Ġtops": 21246, + "Ġpoem": 21247, + "ĠRandy": 21248, + "ĠMaple": 21249, + "THER": 21250, + "upiter": 21251, + "ĠSSD": 21252, + "ļé": 21253, + "Ġuncon": 21254, + "pering": 21255, + "Ġslept": 21256, + "iners": 21257, + "Ġunderwater": 21258, + "ĠEvidence": 21259, + "gone": 21260, + "205": 21261, + "Ġhistorians": 21262, + "Ġsynthesis": 21263, + "Ġfrog": 21264, + "basketball": 21265, + "Ġvibrant": 21266, + "Ġsubord": 21267, + "Ġ365": 21268, + "ĠDial": 21269, + "Ġcooperate": 21270, + "HAHA": 21271, + "Ġgreeted": 21272, + "158": 21273, + "Ġjazz": 21274, + "Ġintox": 21275, + "ĠWalking": 21276, + "Ġsupervisor": 21277, + "ĠFusion": 21278, + "ĠMercedes": 21279, + "send": 21280, + "Ham": 21281, + "sd": 21282, + "nl": 21283, + "Ġtours": 21284, + "ĠFIFA": 21285, + "Ġculp": 21286, + "gd": 21287, + "304": 21288, + "Ġpleas": 21289, + "Ġillustrates": 21290, + "ĠColombia": 21291, + "Ġhighlighting": 21292, + "ĠSummary": 21293, + "Ġexposing": 21294, + "ĠDru": 21295, + "Ġirony": 21296, + "ritional": 21297, + "ĠCarroll": 21298, + "ĠEllis": 21299, + "Pict": 21300, + "ĠRapt": 21301, + "Ġadapter": 21302, + "Ġunm": 21303, + "Ġcorpse": 21304, + "Ġcelebrities": 21305, + "Den": 21306, + "atum": 21307, + "ĠApocalypse": 21308, + "ĠWag": 21309, + "lining": 21310, + "Ġhormones": 21311, + "Rub": 21312, + "ĠXi": 21313, + "ĠVaults": 21314, + "208": 21315, + "alkyrie": 21316, + "inosaur": 21317, + "Ġfeeds": 21318, + "vity": 21319, + "Ġdefeating": 21320, + "Wait": 21321, + "Ġemphasize": 21322, + "ĠSteelers": 21323, + "yrinth": 21324, + "leys": 21325, + "ĠWhenever": 21326, + "Currently": 21327, + "ĠClock": 21328, + "Ġcollectively": 21329, + "anyon": 21330, + "ĠJP": 21331, + "Ġmentality": 21332, + "Ġdownloads": 21333, + "Ġsurroundings": 21334, + "ĠBarnes": 21335, + "Ġflagship": 21336, + "Ġindicators": 21337, + "Ġgrapp": 21338, + "January": 21339, + "ĠElemental": 21340, + "ĠAthena": 21341, + "ibal": 21342, + "Ġsights": 21343, + "Ġcapita": 21344, + "ĠTreaty": 21345, + "Ġvoiced": 21346, + "ĠGaz": 21347, + "lette": 21348, + "Ġya": 21349, + "Ġexpired": 21350, + "Legend": 21351, + "Hot": 21352, + "nature": 21353, + "Ġunstable": 21354, + "Ġ280": 21355, + "ú": 21356, + "Comment": 21357, + "ALE": 21358, + "Ġquests": 21359, + "Ġhandler": 21360, + "nis": 21361, + "Ġversatile": 21362, + "Ġconceal": 21363, + "engeance": 21364, + "ĠInteractive": 21365, + "Ġobsessed": 21366, + "ĠDogs": 21367, + "Ġcracked": 21368, + "Sound": 21369, + "sv": 21370, + "ĠDylan": 21371, + "roads": 21372, + "fx": 21373, + "ĠCatholics": 21374, + "ĠHag": 21375, + "Ġslammed": 21376, + "Ġglowing": 21377, + "sale": 21378, + "Ġtissues": 21379, + "ĠChi": 21380, + "nee": 21381, + "Ġcher": 21382, + "sic": 21383, + "urrection": 21384, + "Ġbacon": 21385, + "ulatory": 21386, + ").\"": 21387, + "Ġirregular": 21388, + "FORM": 21389, + "assed": 21390, + "Ġintentional": 21391, + "Ġcompensate": 21392, + "ĠSpeaking": 21393, + "ĠSets": 21394, + "153": 21395, + "Ġconventions": 21396, + "bands": 21397, + "emade": 21398, + "Ġecc": 21399, + "ĠWinston": 21400, + "ĠAssassin": 21401, + "ĠBelgian": 21402, + "Ġdependence": 21403, + "Ġniche": 21404, + "Ġbark": 21405, + "ĠJazz": 21406, + "Ġdisadvantage": 21407, + "Ġgasoline": 21408, + "Ġ165": 21409, + "çļĦ": 21410, + "essa": 21411, + "module": 21412, + "angular": 21413, + "OY": 21414, + "ĠTreatment": 21415, + "itas": 21416, + "olation": 21417, + "ĠArnold": 21418, + "Ġfeud": 21419, + "ĠNest": 21420, + "Ġtheatre": 21421, + "ewater": 21422, + "Ġminors": 21423, + "olicy": 21424, + "ĠHaven": 21425, + "division": 21426, + "Ġtrunk": 21427, + "Far": 21428, + "ĠPull": 21429, + "Ġcapturing": 21430, + "Ġ1800": 21431, + "ĠTeen": 21432, + "Ġexempl": 21433, + "Ġclinics": 21434, + "ĠBurg": 21435, + "Ġsubstit": 21436, + "Ġpayload": 21437, + "ĠLav": 21438, + "ĠTroy": 21439, + "ĠWitness": 21440, + "Ġfragments": 21441, + "Ġpasswords": 21442, + "Ġgospel": 21443, + "ĠGin": 21444, + "Ġtenants": 21445, + "olith": 21446, + "Six": 21447, + "Previous": 21448, + "ĠAges": 21449, + "ĠDarwin": 21450, + "Ġblat": 21451, + "Ġempathy": 21452, + "smith": 21453, + "bag": 21454, + "ĠEcho": 21455, + "ĠCamb": 21456, + "ĠMadd": 21457, + "ĠBoo": 21458, + "Ġrede": 21459, + "ĠBurning": 21460, + "Ġsmoothly": 21461, + "ĠAdrian": 21462, + "ĠVampire": 21463, + "ĠMonsters": 21464, + "steam": 21465, + "Style": 21466, + "Ma": 21467, + "rea": 21468, + "ĠDwar": 21469, + "alyst": 21470, + "ursor": 21471, + "Ġelimination": 21472, + "Ġcrypto": 21473, + "cht": 21474, + "ĠEternal": 21475, + "âĢ¦]": 21476, + "ĠSorce": 21477, + "Ill": 21478, + "NER": 21479, + "Ġuh": 21480, + "Conclusion": 21481, + "wage": 21482, + "Ġrespir": 21483, + "Ġreminis": 21484, + "hetical": 21485, + "Ġgy": 21486, + "Ġutilized": 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"Ġretailer": 21538, + "Ġarising": 21539, + "Ġrebellion": 21540, + "Ġblonde": 21541, + "played": 21542, + "Ġinstrumental": 21543, + "Cross": 21544, + "Ġretention": 21545, + "Ġtherapeutic": 21546, + "Ġseas": 21547, + "Ġinfantry": 21548, + "ĠClint": 21549, + "Ġprompting": 21550, + "Ġbitch": 21551, + "Ġstems": 21552, + "ĠKra": 21553, + "Ġthesis": 21554, + "ĠBog": 21555, + "rued": 21556, + "Ġkings": 21557, + "Ġclay": 21558, + "ificent": 21559, + "ĠYES": 21560, + "ĠThing": 21561, + "ĠCubs": 21562, + "veyard": 21563, + "elsh": 21564, + "inarily": 21565, + "ĠEy": 21566, + "ĠRolling": 21567, + "Ġevolving": 21568, + "India": 21569, + "Ġrecognizes": 21570, + "Ġgraduation": 21571, + "isers": 21572, + "Ġfertility": 21573, + "ĠMilan": 21574, + "Command": 21575, + "Ġboxing": 21576, + "Ġ1943": 21577, + "Ġgluten": 21578, + "ĠEmir": 21579, + "Ġidol": 21580, + "Ġconceived": 21581, + "ĠCreation": 21582, + "Merit": 21583, + "uddy": 21584, + "ussions": 21585, + "ĠLieutenant": 21586, + "ietal": 21587, + "Ġunchanged": 21588, + "ĠScale": 21589, + "ĠCrimea": 21590, + "balls": 21591, + "atorial": 21592, + "Ġdepths": 21593, + "Ġempirical": 21594, + "Ġtransm": 21595, + "Ġunsafe": 21596, + "missible": 21597, + "comfort": 21598, + "156": 21599, + "Ġmechanic": 21600, + "002": 21601, + "lins": 21602, + "Ġsmoked": 21603, + "Pos": 21604, + "Ġslowing": 21605, + "Ġlav": 21606, + "Texas": 21607, + "Ġcheating": 21608, + "ĠMetropolitan": 21609, + "ethyl": 21610, + "Ġdiscovering": 21611, + "asse": 21612, + "Ġpencil": 21613, + "ĠPyongyang": 21614, + "Ġcloset": 21615, + "ĠSheet": 21616, + "ĠEntry": 21617, + "oustic": 21618, + "Ġmyst": 21619, + "erate": 21620, + "ariat": 21621, + "Ġminerals": 21622, + "Ġmusician": 21623, + "ĠPul": 21624, + "ĠMaz": 21625, + "249": 21626, + "Ġpermissions": 21627, + "Ġiv": 21628, + "enary": 21629, + "ickers": 21630, + "ĠBing": 21631, + "hea": 21632, + "enable": 21633, + "Ġgriev": 21634, + "Ġasserted": 21635, + "ĠColonel": 21636, + "Ġaffidav": 21637, + "wo": 21638, + "Ġseated": 21639, + "ĠRide": 21640, + "Ġpaintings": 21641, + "ĠPix": 21642, + "Ġ137": 21643, + "ishi": 21644, + "umbai": 21645, + "gotten": 21646, + "ĠEarl": 21647, + "Ġinning": 21648, + "Ġcensus": 21649, + "Ġtravelled": 21650, + "ĠConsult": 21651, + "185": 21652, + "bind": 21653, + "Ġsimplicity": 21654, + "Ġoverlooked": 21655, + "ĠHelpful": 21656, + "Ġmonkey": 21657, + "Ġoverwhelmingly": 21658, + "Blood": 21659, + "ĠFlint": 21660, + "ĠJama": 21661, + "ĠPresent": 21662, + "ĠRage": 21663, + "ĠTA": 21664, + "ptive": 21665, + "Ġturnout": 21666, + "wald": 21667, + "ĠDolphins": 21668, + "ĠVPN": 21669, + "Ġonion": 21670, + "Ġcrafting": 21671, + "mma": 21672, + "ĠMercury": 21673, + "Ġarrange": 21674, + "Ġalerts": 21675, + "ĠOT": 21676, + "zbollah": 21677, + "Ġgases": 21678, + "ĠRichardson": 21679, + "sal": 21680, + "lar": 21681, + "Ġfrost": 21682, + "Ġlowering": 21683, + "Ġacclaim": 21684, + "Ġstartups": 21685, + "ĠGain": 21686, + "essment": 21687, + "Ġguardian": 21688, + "人": 21689, + "ĠPie": 21690, + "ĠLinks": 21691, + "Ġmerits": 21692, + "Ġawake": 21693, + "Ġparental": 21694, + "Ġexceeds": 21695, + "Ġidle": 21696, + "ĠPilot": 21697, + "ĠeBay": 21698, + "ĠAccept": 21699, + "ipeg": 21700, + "Cam": 21701, + "ĠKot": 21702, + "Ġtraders": 21703, + "olitics": 21704, + "unker": 21705, + "ĠPale": 21706, + "osi": 21707, + "anmar": 21708, + "Ġ1947": 21709, + "ĠFell": 21710, + "estial": 21711, + "itating": 21712, + "GF": 21713, + "ĠSr": 21714, + "ifted": 21715, + "Ġconnector": 21716, + "ĠBone": 21717, + "illes": 21718, + "260": 21719, + "hma": 21720, + "Ġoverlap": 21721, + "ĠGitHub": 21722, + "Ġcleaner": 21723, + "ĠBaptist": 21724, + "ĠWAS": 21725, + "Ġlungs": 21726, + "Ñģ": 21727, + "ĠBUT": 21728, + "Ġcite": 21729, + "Ġpitched": 21730, + "reatment": 21731, + "Ġtrophies": 21732, + "ĠNu": 21733, + "386": 21734, + "ĠPride": 21735, + "Ġattendees": 21736, + "[]": 21737, + "179": 21738, + "Ġspatial": 21739, + "Ġprizes": 21740, + "ĠReligion": 21741, + "Ġshowcase": 21742, + "ĠCategory": 21743, + "vidia": 21744, + "Target": 21745, + "Property": 21746, + "?,": 21747, + "Ġfusion": 21748, + "pie": 21749, + "ĠUCLA": 21750, + "Ġsoundtrack": 21751, + "Ġprincess": 21752, + "ĠCaval": 21753, + "should": 21754, + "Ġlimbs": 21755, + "Background": 21756, + "Ġlonely": 21757, + "Ġcores": 21758, + "ĠTail": 21759, + "sheet": 21760, + "Ġ132": 21761, + "Ra": 21762, + "ãĤ«": 21763, + "ĠBolt": 21764, + "Ġbooked": 21765, + "Ġadminister": 21766, + "Ġequals": 21767, + "wy": 21768, + "Ġobserving": 21769, + "ĠBaron": 21770, + "ĠAdobe": 21771, + "Ġvirgin": 21772, + "ĠSocialist": 21773, + "Move": 21774, + "ghazi": 21775, + "ĠLinda": 21776, + "212": 21777, + "Ġbrewing": 21778, + "Ġmerchants": 21779, + "burse": 21780, + "Ġdivor": 21781, + "Ġmetals": 21782, + "ĠNer": 21783, + "Ġsums": 21784, + "ĠEnemy": 21785, + "Ġenvision": 21786, + "Ġgranting": 21787, + "ĠHoney": 21788, + "ĠSkyrim": 21789, + "Ġsocio": 21790, + "graded": 21791, + "Ġselective": 21792, + "WASHINGTON": 21793, + "Ġ1948": 21794, + "ĠSirius": 21795, + "ĠGross": 21796, + "activity": 21797, + "ĠIvan": 21798, + "Ġfurious": 21799, + "BSD": 21800, + "ĠPrevious": 21801, + "Ġresponsive": 21802, + "Ġcharitable": 21803, + "Ġleaning": 21804, + "ĠPew": 21805, + "Ġviolates": 21806, + "\\\\\\\\\\\\\\\\": 21807, + "ĠComing": 21808, + "wire": 21809, + "Ġpoet": 21810, + "Ġresolutions": 21811, + "command": 21812, + "ĠPortuguese": 21813, + "Ġnickname": 21814, + "Ġdeaf": 21815, + "February": 21816, + "Ġrecognise": 21817, + "Ġentirety": 21818, + "Ġseasonal": 21819, + "placed": 21820, + "ĠTelegraph": 21821, + "Ġmicrophone": 21822, + "ouring": 21823, + "Ġgrains": 21824, + "Ġgoverned": 21825, + "Ġpostp": 21826, + "ĠWaters": 21827, + "inement": 21828, + "Ġundocumented": 21829, + "ĠComcast": 21830, + "Ġfox": 21831, + "Ġassaults": 21832, + "reon": 21833, + "many": 21834, + "ĠJenkins": 21835, + "ĠAnyway": 21836, + "Ġassessments": 21837, + "Ġdowns": 21838, + "ĠMouse": 21839, + "Ġsuperb": 21840, + "kt": 21841, + "ĠDow": 21842, + 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"asia": 23218, + "ĠReason": 23219, + "ĠPump": 23220, + "Ġaccidental": 23221, + "ĠLaser": 23222, + "ĠRid": 23223, + "Ġinitialized": 23224, + "elli": 23225, + "Ġunnamed": 23226, + "Ġnoun": 23227, + "ĠPassed": 23228, + "Ġhostage": 23229, + "ĠEthiop": 23230, + "shirts": 23231, + "Ġunrel": 23232, + "ĠEmbassy": 23233, + "Ġ1941": 23234, + "Ġatoms": 23235, + "Ġpurported": 23236, + "164": 23237, + "ĠFi": 23238, + "Ġgallons": 23239, + "ĠMonica": 23240, + "Ġpg": 23241, + "enment": 23242, + "Ġsorted": 23243, + "ĠGospel": 23244, + "Ġheights": 23245, + "Ġtraced": 23246, + "Ġundergoing": 23247, + "Shell": 23248, + "Ġsacks": 23249, + "Ġproportions": 23250, + "Ġhalluc": 23251, + "Font": 23252, + "acet": 23253, + "Ġwarmer": 23254, + "ĠINTER": 23255, + "Ġgrabbing": 23256, + "Plug": 23257, + "Ġrealization": 23258, + "ĠBurke": 23259, + "Ġenchant": 23260, + "ATER": 23261, + "ĠSeed": 23262, + "Ġabundant": 23263, + "FM": 23264, + "Ġcivic": 23265, + "Vs": 23266, + "isi": 23267, + "Ġvow": 23268, + "Ġreper": 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"idable": 23321, + "Ġscreenshots": 23322, + "ĠGund": 23323, + "ĠFS": 23324, + "Ġtravelers": 23325, + "Ġsensory": 23326, + "ĠFiat": 23327, + "ĠRockets": 23328, + "İĭ": 23329, + "_{": 23330, + "Friend": 23331, + "Ġcharming": 23332, + "ALS": 23333, + "Ġenjoyment": 23334, + "mph": 23335, + "Ġ5000": 23336, + "ĠREG": 23337, + "ÙĨ": 23338, + "bia": 23339, + "Ġcompilation": 23340, + "rost": 23341, + "ĠVP": 23342, + "ĠSchne": 23343, + "2019": 23344, + "Ġcopying": 23345, + "MORE": 23346, + "ĠFlore": 23347, + "falls": 23348, + "215": 23349, + "total": 23350, + "Ġdisciples": 23351, + "double": 23352, + "Ġexceeding": 23353, + "Ġsmashed": 23354, + "Ġconceptual": 23355, + "ĠRomania": 23356, + "ĠBrent": 23357, + "ĠICE": 23358, + "ĠTou": 23359, + "Ġgrap": 23360, + "Ġnails": 23361, + "189": 23362, + "ãĥĺ": 23363, + "Ġprocure": 23364, + "eur": 23365, + "Ġconfirming": 23366, + "ĠCec": 23367, + "awi": 23368, + "ĠEden": 23369, + "Ġng": 23370, + "Ġengineered": 23371, + "atics": 23372, + "Ġhooked": 23373, + 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"chrom": 28663, + "dt": 28664, + "column": 28665, + "PsyNetMessage": 28666, + "Zero": 28667, + "Ġtorso": 28668, + "050": 28669, + "âķIJ": 28670, + "Ġimperson": 28671, + "ĠSchwartz": 28672, + "udic": 28673, + "Ġpissed": 28674, + "ĠSapp": 28675, + "257": 28676, + "ĠISPs": 28677, + "ogl": 28678, + "Ġsupervised": 28679, + "Ġadolescent": 28680, + "Ġattained": 28681, + "ĠDelivery": 28682, + "ĠBunny": 28683, + "Ġ1937": 28684, + "Ġminiature": 28685, + "Ġos": 28686, + "Ġ370": 28687, + "608": 28688, + "ĠMourinho": 28689, + "Ġinnate": 28690, + "Ġtempo": 28691, + "ĠNM": 28692, + "ĠFallen": 28693, + "009": 28694, + "Ġprovocative": 28695, + "Streamer": 28696, + "ĠBenedict": 28697, + "ĠBolshe": 28698, + "Ġturtle": 28699, + "ĠPCB": 28700, + "ĠEqual": 28701, + "Director": 28702, + "ĠRend": 28703, + "Ġfluids": 28704, + "Authorities": 28705, + "Ġcousins": 28706, + "requency": 28707, + "ĠNeighbor": 28708, + "sets": 28709, + "shared": 28710, + "Charles": 28711, + "password": 28712, + "Ġgears": 28713, + "Ġ211": 28714, + "ĠHardware": 28715, + "rika": 28716, + "Ġupstream": 28717, + "Hom": 28718, + "Ġdisproportionately": 28719, + "ivities": 28720, + "Ġundefined": 28721, + "Ġelectrons": 28722, + "Ġcommemor": 28723, + "Eventually": 28724, + "Ġ><": 28725, + "Ġirresponsible": 28726, + "218": 28727, + "ĠReleased": 28728, + "ĠOVER": 28729, + "ĠIGN": 28730, + "ĠBread": 28731, + "stellar": 28732, + "ĠSage": 28733, + "tted": 28734, + "damage": 28735, + "edition": 28736, + "ĠPrec": 28737, + "Ġlime": 28738, + "Ġconfinement": 28739, + "Ġcalorie": 28740, + "weapon": 28741, + "Ġdiffering": 28742, + "ĠSina": 28743, + "mys": 28744, + "amd": 28745, + "Ġintricate": 28746, + "kk": 28747, + "ĠPAT": 28748, + "ão": 28749, + "stones": 28750, + "links": 28751, + "Ġranch": 28752, + "Semitic": 28753, + "Ġdifferentiate": 28754, + "ĠSinger": 28755, + "occupied": 28756, + "Ġfortress": 28757, + "cmd": 28758, + "Ġinterception": 28759, + "ĠAnkara": 28760, + "Ġrept": 28761, + "ĠSolitaire": 28762, + "Ġremake": 28763, + "pred": 28764, + "Ġdared": 28765, + "autions": 28766, + "ĠBACK": 28767, + "Running": 28768, + "Ġdebugging": 28769, + "Ġgraphs": 28770, + "399": 28771, + "ĠNigel": 28772, + "Ġbun": 28773, + "Ġpillow": 28774, + "Ġprogressed": 28775, + "fashioned": 28776, + "Ġobedience": 28777, + "ERN": 28778, + "Ġrehears": 28779, + "Cell": 28780, + "tl": 28781, + "Sher": 28782, + "Ġherald": 28783, + "ĠPayment": 28784, + "ĠCory": 28785, + "ĠDept": 28786, + "Ġrepent": 28787, + "ĠWeak": 28788, + "uckland": 28789, + "Ġpleasing": 28790, + "Ġshortages": 28791, + "Ġjurors": 28792, + "ĠKab": 28793, + "qqa": 28794, + "Anti": 28795, + "Ġwow": 28796, + "ĠRCMP": 28797, + "Ġtsun": 28798, + "ĠSic": 28799, + "Ġcomprises": 28800, + "Ġspies": 28801, + "Ġprecinct": 28802, + "nu": 28803, + "Ġurges": 28804, + "Ġtimed": 28805, + "Ġstripes": 28806, + "ĠBoots": 28807, + "Ġyen": 28808, + "Advanced": 28809, + "Ġdiscrete": 28810, + "ĠArchangel": 28811, + "employment": 28812, + "Diff": 28813, + "Ġmonuments": 28814, + "Ġ209": 28815, + "worker": 28816, + "Ġ196": 28817, + "ĠIg": 28818, + "utterstock": 28819, + "TPS": 28820, + "Jac": 28821, + "Ġhomelessness": 28822, + "Ġcommentator": 28823, + "Ġracially": 28824, + "fing": 28825, + "seed": 28826, + "Ele": 28827, + "ellation": 28828, + "Ġethanol": 28829, + "Ġparish": 28830, + "ĠDong": 28831, + "ĠAwakening": 28832, + "Ġdeviation": 28833, + "ĠBearing": 28834, + "ĠTsuk": 28835, + "Ġrecess": 28836, + "Ġlymph": 28837, + "ĠCannabis": 28838, + "åľ": 28839, + "ĠNEWS": 28840, + "Ġdra": 28841, + "ĠStefan": 28842, + "ĠWrong": 28843, + "ĠSAM": 28844, + "Ġloosely": 28845, + "Ġinterpreter": 28846, + "ĠPlain": 28847, + "Government": 28848, + "Ġbigotry": 28849, + "Ġgrenades": 28850, + "avez": 28851, + "pictured": 28852, + "Ġmandated": 28853, + "ĠMonk": 28854, + "ĠPedro": 28855, + "Ġlava": 28856, + "274": 28857, + "Ġcynical": 28858, + "ĠScrolls": 28859, + "locks": 28860, + "Mp": 28861, + "Ġcongregation": 28862, + "ornings": 28863, + "phil": 28864, + "ĠIbid": 28865, + "Ġferv": 28866, + "Ġdisappearing": 28867, + "Ġarrogant": 28868, + "syn": 28869, + "ĠMaver": 28870, + "ĠSuit": 28871, + "241": 28872, + "Ġabbre": 28873, + "ackers": 28874, + "Pa": 28875, + "ĠYel": 28876, + "Whenever": 28877, + "Ġ235": 28878, + "ĠVine": 28879, + "ĠAnat": 28880, + "Ġextinct": 28881, + "LET": 28882, + "Ġexecutable": 28883, + "VERS": 28884, + "oxide": 28885, + "DNA": 28886, + "ĠPrel": 28887, + "Ġresentment": 28888, + "Ġcomprise": 28889, + "ĠAviv": 28890, + "Ġinterceptions": 28891, + "Ġprolific": 28892, + "INA": 28893, + "ĠErin": 28894, + "thought": 28895, + "219": 28896, + "ĠPsychiatry": 28897, + "unky": 28898, + "chemist": 28899, + "Ho": 28900, + "ĠMcCoy": 28901, + "Ġbricks": 28902, + "Los": 28903, + "rily": 28904, + "ĠUSSR": 28905, + "Ġrud": 28906, + "Ġlaud": 28907, + "ĠWise": 28908, + "ĠEmerald": 28909, + "Ġrevived": 28910, + "Ġdamned": 28911, + "ĠRepair": 28912, + "idem": 28913, + "ctica": 28914, + "Ġpatriarch": 28915, + "ĠNurs": 28916, + "meg": 28917, + "Ġcheapest": 28918, + "reements": 28919, + "empty": 28920, + "ĠCelebr": 28921, + "Ġdeprivation": 28922, + "chanted": 28923, + "ĠThumbnails": 28924, + "Energy": 28925, + "ĠEthan": 28926, + "ĠQing": 28927, + "Ġopposes": 28928, + "WIND": 28929, + "vik": 28930, + "ĠMau": 28931, + "ĠSUB": 28932, + "667": 28933, + "GRE": 28934, + "ĠVolunte": 28935, + "nton": 28936, + "Cook": 28937, + "åIJ": 28938, + "esque": 28939, + "Ġplummet": 28940, + "Ġsuing": 28941, + "Ġpronounce": 28942, + "Ġresisting": 28943, + "ĠFishing": 28944, + "ĠTrials": 28945, + "Ġyell": 28946, + "Ġ310": 28947, + "Ġinduct": 28948, + "Ġpersonalized": 28949, + "often": 28950, + "Reb": 28951, + "EMBER": 28952, + "Ġviewpoint": 28953, + "Ġexistential": 28954, + "())": 28955, + "remove": 28956, + "MENTS": 28957, + "lasses": 28958, + "Ġevapor": 28959, + "Ġaisle": 28960, + "meta": 28961, + "Ġreflective": 28962, + "Ġentitlement": 28963, + "Ġdevised": 28964, + "music": 28965, + "ascade": 28966, + "Ġwinding": 28967, + "offset": 28968, + "Ġaccessibility": 28969, 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"Attributes": 29021, + "509": 29022, + "avour": 29023, + "Ġcentralized": 29024, + "ĠTN": 29025, + "Ġfreshly": 29026, + "ĠAchieve": 29027, + "Ġoutsiders": 29028, + "herty": 29029, + "ĠRee": 29030, + "ĠTowers": 29031, + "ĠDart": 29032, + "akable": 29033, + "Ġmp": 29034, + "ĠHeavenly": 29035, + "Ġripe": 29036, + "ĠCaroline": 29037, + "ryan": 29038, + "Ġclassics": 29039, + "Ġretiring": 29040, + "Ġ228": 29041, + "Ġah": 29042, + "Ġdealings": 29043, + "Ġpunching": 29044, + "ĠChapman": 29045, + "Options": 29046, + "maxwell": 29047, + "volume": 29048, + "Ġstal": 29049, + "Ġexported": 29050, + "ĠQuite": 29051, + "Ġnumerical": 29052, + "Burn": 29053, + "Fact": 29054, + "ĠKeystone": 29055, + "Ġtrending": 29056, + "Ġaltering": 29057, + "ĠAfricans": 29058, + "478": 29059, + "ĠMN": 29060, + "ĠKnock": 29061, + "Ġtemptation": 29062, + "Ġprestige": 29063, + "Overview": 29064, + "ĠTraditional": 29065, + "ĠBahrain": 29066, + "Private": 29067, + "ĠHOU": 29068, + "Ġbarr": 29069, + "ĠTat": 29070, + "Cube": 29071, + "USD": 29072, + "ĠGrande": 29073, + "ĠGat": 29074, + "ĠFlo": 29075, + "Ġresides": 29076, + "Ġindec": 29077, + "volent": 29078, + "Ġperpetual": 29079, + "ubes": 29080, + "Ġworldview": 29081, + "ĠQuantum": 29082, + "Ġfiltered": 29083, + "Ġensu": 29084, + "orgetown": 29085, + "ERSON": 29086, + "ĠMild": 29087, + "379": 29088, + "OTT": 29089, + "Ã¥": 29090, + "Ġvitamins": 29091, + "Ġribbon": 29092, + "Ġsincerely": 29093, + "ĠHin": 29094, + "Ġeighteen": 29095, + "Ġcontradictory": 29096, + "Ġglaring": 29097, + "Ġexpectancy": 29098, + "Ġconspir": 29099, + "Ġmonstrous": 29100, + "Ġ380": 29101, + "reci": 29102, + "Ġhandic": 29103, + "Ġpumped": 29104, + "Ġindicative": 29105, + "Ġrapp": 29106, + "Ġavail": 29107, + "ĠLEGO": 29108, + "ĠMarijuana": 29109, + "1985": 29110, + "erton": 29111, + "Ġtwentieth": 29112, + "################################": 29113, + "ĠSwamp": 29114, + "Ġvaluation": 29115, + "Ġaffiliates": 29116, + "adjusted": 29117, + "ĠFacility": 29118, + "262": 29119, + "Ġenzymes": 29120, + "itudinal": 29121, + "Ġimprint": 29122, + "Site": 29123, + "Ġinstaller": 29124, + "ĠTRA": 29125, + "mology": 29126, + "linear": 29127, + "ĠCollective": 29128, + "igating": 29129, + "ĠToken": 29130, + "Ġspeculated": 29131, + "KN": 29132, + "ĠCly": 29133, + "ority": 29134, + "Ġdefer": 29135, + "Ġinspectors": 29136, + "approved": 29137, + "RM": 29138, + "ĠSuns": 29139, + "Ġinforming": 29140, + "ĠSyracuse": 29141, + "ibli": 29142, + "765": 29143, + "Ġglove": 29144, + "Ġauthorize": 29145, + "âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦": 29146, + "ĠCruise": 29147, + "Ġcontracting": 29148, + "shell": 29149, + "IFE": 29150, + "ĠJewel": 29151, + "pract": 29152, + "ĠPhotoshop": 29153, + "ĠKnowing": 29154, + "harm": 29155, + "Ġattractions": 29156, + "adan": 29157, + "etus": 29158, + "018": 29159, + "wagen": 29160, + "Alt": 29161, + "Ġmultiply": 29162, + "Ġequilibrium": 29163, + ":{": 29164, + "ĠFighters": 29165, + "ĠEdgar": 29166, + "Ġfourteen": 29167, + "Govern": 29168, + "Ġmisuse": 29169, + "Ġabusing": 29170, + "Ġancestry": 29171, + "ramer": 29172, + "644": 29173, + "Ġworms": 29174, + "Ġthicker": 29175, + "ĠCombine": 29176, + "Ġpeasants": 29177, + "Ġvind": 29178, + "Ġconquest": 29179, + "Ġmocked": 29180, + "Ġcinnamon": 29181, + "ĠCald": 29182, + "ĠGallup": 29183, + "Ġavoidance": 29184, + "Ġincarnation": 29185, + "ĠStrat": 29186, + "Ġtasted": 29187, + "enta": 29188, + "ĠNeal": 29189, + "pared": 29190, + "Ġterminology": 29191, + "jection": 29192, + "Scientists": 29193, + "ĠINS": 29194, + "ĠDee": 29195, + "Ġdirectories": 29196, + "Road": 29197, + "ĠShap": 29198, + "bright": 29199, + "ĠDirectors": 29200, + "ĠColumn": 29201, + "Ġbob": 29202, + "Ġpreferably": 29203, + "Ġglitch": 29204, + "furt": 29205, + "Ġeg": 29206, + "idis": 29207, + "CBC": 29208, + "Ġsurrendered": 29209, + "Ġtestament": 29210, + "336": 29211, + "uggest": 29212, + "ĠNil": 29213, + "another": 29214, + "Ġpathetic": 29215, + "ĠDonna": 29216, + "Ġ218": 29217, + "ĠAvery": 29218, + "Ġwhiskey": 29219, + "Ġfixture": 29220, + "ĠConquest": 29221, + "Ġbets": 29222, + "Occ": 29223, + "ĠLeicester": 29224, + "].\"": 29225, + "Ġ));": 29226, + "Ġflashes": 29227, + "456": 29228, + "Ġmasked": 29229, + "gebra": 29230, + "Ġcomputed": 29231, + "chel": 29232, + "auder": 29233, + "Ġdefeats": 29234, + "ĠLiberation": 29235, + "ĠOsama": 29236, + "ĠVive": 29237, + "Changes": 29238, + "Channel": 29239, + "Ġtariffs": 29240, + "Ġmage": 29241, + "ĠSax": 29242, + "Ġinadvertently": 29243, + "ĠCRE": 29244, + "ĠReaper": 29245, + "inky": 29246, + "grading": 29247, + "Ġstereotyp": 29248, + "Ġcurl": 29249, + "ĠFANT": 29250, + "Ġframeworks": 29251, + "Mom": 29252, + "ĠAnch": 29253, + "Ġflavour": 29254, + "carbon": 29255, + "Ġpermitting": 29256, + "letcher": 29257, + "ĠMozilla": 29258, + "ĠParking": 29259, + "ĠChamp": 29260, + "Scroll": 29261, + "Ġmurderer": 29262, + "Ġrested": 29263, + "Ġowes": 29264, + "ĠPoss": 29265, + "ADD": 29266, + "IFF": 29267, + "resolution": 29268, + "ĠMining": 29269, + "Ġcomparative": 29270, + "Dim": 29271, + "Ġneighbouring": 29272, + "ĠAST": 29273, + "ĠToxic": 29274, + "Ġbiases": 29275, + "Ġgunfire": 29276, + "urous": 29277, + "ĠMoment": 29278, + "1983": 29279, + "Ġpervasive": 29280, + "ttp": 29281, + "ĠNormally": 29282, + "rir": 29283, + "Sarah": 29284, + "ĠAlbany": 29285, + "Ġunsett": 29286, + "ĠSMS": 29287, + "ipers": 29288, + "layer": 29289, + "ĠWhites": 29290, + "uple": 29291, + "Ġturbo": 29292, + "ĠLeeds": 29293, + "Ġthats": 29294, + "ĠMiner": 29295, + "MER": 29296, + "ĠReign": 29297, + "Ġperme": 29298, + "ĠBlitz": 29299, + "Ġ1934": 29300, + "Ġintimidating": 29301, + "tube": 29302, + "Ġeccentric": 29303, + "abolic": 29304, + "boxes": 29305, + "ĠAssociates": 29306, + "votes": 29307, + "Ġsimulate": 29308, + "umbo": 29309, + "astery": 29310, + "Ġshipments": 29311, + "FFFF": 29312, + "anth": 29313, + "Ġseasoned": 29314, + "Ġexperimentation": 29315, + "âĸł": 29316, + "laws": 29317, + "Meet": 29318, + "iddles": 29319, + "antics": 29320, + "Rating": 29321, + "ISIS": 29322, + 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"Ġmoons": 31093, + "Ġelectromagnetic": 31094, + "Ġamidst": 31095, + "ĠViktor": 31096, + "NESS": 31097, + "BACK": 31098, + "Ġcommute": 31099, + "ĠAnaheim": 31100, + "Ġfluctuations": 31101, + "640": 31102, + "Ġnoodles": 31103, + "ĠCopenhagen": 31104, + "ĠTide": 31105, + "ĠGrizz": 31106, + "ĠSEE": 31107, + "Ġpipelines": 31108, + "Ġscars": 31109, + "endo": 31110, + "agus": 31111, + "ĠETF": 31112, + "/#": 31113, + "ĠBecome": 31114, + "448": 31115, + "Ġvisc": 31116, + "ĠRecommended": 31117, + "Ġjumper": 31118, + "Ġcognition": 31119, + "Ġassassin": 31120, + "Ġwitnessing": 31121, + "ĠSetup": 31122, + "Ġlac": 31123, + "vim": 31124, + "ISM": 31125, + "pages": 31126, + "SSL": 31127, + "358": 31128, + "Ġadject": 31129, + "industrial": 31130, + "lore": 31131, + "chery": 31132, + "Ġglitter": 31133, + "Ġcalf": 31134, + "Florida": 31135, + "Ġspoilers": 31136, + "Ġsucceeds": 31137, + "Ġchanting": 31138, + "Ġslogans": 31139, + "ĠTracy": 31140, + "Visit": 31141, + "rology": 31142, + "Ġmornings": 31143, + 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31195, + "ĠHunters": 31196, + "gp": 31197, + "Ġprominence": 31198, + "Liber": 31199, + "ĠAncest": 31200, + "otechnology": 31201, + "Ġmocking": 31202, + "ĠTraff": 31203, + "ĸļ": 31204, + "Medium": 31205, + "Iraq": 31206, + "Ġpsychiatrist": 31207, + "Quantity": 31208, + "ĠLect": 31209, + "Ġnoisy": 31210, + "520": 31211, + "GY": 31212, + "Ġslapped": 31213, + "ĠMTV": 31214, + "Ġpara": 31215, + "pull": 31216, + "Multiple": 31217, + "asher": 31218, + "Ġnour": 31219, + "ĠSeg": 31220, + "Spell": 31221, + "vous": 31222, + "ordial": 31223, + "Senior": 31224, + "ĠGoldberg": 31225, + "ĠPlasma": 31226, + "need": 31227, + "Ġmessenger": 31228, + "eret": 31229, + "Ġteamed": 31230, + "Ġliteracy": 31231, + "ĠLeah": 31232, + "ĠDoyle": 31233, + "Ġemitted": 31234, + "UX": 31235, + "Ġevade": 31236, + "Ġmaze": 31237, + "Ġwrongly": 31238, + "ĠLars": 31239, + "Ġstereotype": 31240, + "Ġpledges": 31241, + "Ġaroma": 31242, + "ĠMET": 31243, + "Ġacre": 31244, + "ĠOD": 31245, + "Ġff": 31246, + "Ġbreweries": 31247, + 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"ĠCoh": 47222, + "owsky": 47223, + "Ġstarved": 47224, + "Ġsizeable": 47225, + "Ġ:-)": 47226, + "ĠmRNA": 47227, + "Ġsuspensions": 47228, + "istar": 47229, + "Scotland": 47230, + "Prin": 47231, + "------------------------------------------------": 47232, + "Ġ502": 47233, + "Ġteaspoons": 47234, + "Ġ1050": 47235, + "Ġcoercive": 47236, + "ĠMasonic": 47237, + "edded": 47238, + "ĠPassenger": 47239, + "Ġlatt": 47240, + "Ġbraces": 47241, + "ĠSteal": 47242, + "ĠNYT": 47243, + "ĠKats": 47244, + "ĠCelest": 47245, + "aez": 47246, + "Tu": 47247, + "ĠCoulter": 47248, + "ðŁĺ": 47249, + "Flickr": 47250, + "ĠWilmington": 47251, + "iths": 47252, + "++;": 47253, + "Ġvending": 47254, + "Ġnegro": 47255, + "ĠPhi": 47256, + "ĠYellowstone": 47257, + "Callback": 47258, + "Ġshampoo": 47259, + "ĠShades": 47260, + "wat": 47261, + "Ġsuperhuman": 47262, + "Ġridiculed": 47263, + "Ġholiest": 47264, + "ombo": 47265, + "Ġinterns": 47266, + "Ġhone": 47267, + "ĠParagu": 47268, + "URI": 47269, + "Ġdangling": 47270, + "ãĤ»": 47271, + "sov": 47272, + "ictional": 47273, + "availability": 47274, + "Ġrevocation": 47275, + "Ġdow": 47276, + "inic": 47277, + "ĠTHEIR": 47278, + "Ġiso": 47279, + "Ġoutings": 47280, + "ĠLethal": 47281, + "Ġ)))": 47282, + "Ġinaccur": 47283, + "Ġoutlandish": 47284, + "Ġanus": 47285, + "letico": 47286, + "idon": 47287, + "lol": 47288, + "Ġunregulated": 47289, + "Ġsuccumbed": 47290, + "Ġcuff": 47291, + "ĠWasteland": 47292, + "letal": 47293, + "Ġsubstr": 47294, + "Ġcoffers": 47295, + "Ġautomakers": 47296, + "ovi": 47297, + "ĠXue": 47298, + "ĠDaytona": 47299, + "Ġjarring": 47300, + "Ġfumes": 47301, + "Ġdisbanded": 47302, + "zik": 47303, + "itton": 47304, + "Ġstrikingly": 47305, + "Ġspores": 47306, + "Adapter": 47307, + ".):": 47308, + "ĠLyndon": 47309, + "ivalry": 47310, + "Ġorally": 47311, + "Ġtumultuous": 47312, + "Ġdispleasure": 47313, + "Ġcones": 47314, + "orrect": 47315, + "Ġappease": 47316, + "Ġderby": 47317, + "ĠTripoli": 47318, + "ĠAless": 47319, + "Ġpoked": 47320, + "ĠGuilty": 47321, + "vP": 47322, + "Enough": 47323, + "Ġoriginals": 47324, + "699": 47325, + "Ġrabbi": 47326, + "Ġproverbial": 47327, + "Ġpostpone": 47328, + "elope": 47329, + "ĠMisty": 47330, + "Ġstaffed": 47331, + "ĠUnemployment": 47332, + "reditary": 47333, + "Ġdiligent": 47334, + "recomm": 47335, + "measures": 47336, + "asin": 47337, + "825": 47338, + "Ġponds": 47339, + "Ġmmol": 47340, + "ĠSAR": 47341, + "ĠCARE": 47342, + "Ġ371": 47343, + "Ġclenched": 47344, + "ĠCorsair": 47345, + "Ġcaricature": 47346, + "zn": 47347, + "attach": 47348, + "ĠSchro": 47349, + "speak": 47350, + "painted": 47351, + "ĠSuc": 47352, + "ĠENT": 47353, + "Ġcellul": 47354, + "ĠPaid": 47355, + "diagn": 47356, + "WHERE": 47357, + "Ġtexted": 47358, + "Barn": 47359, + "Ġretracted": 47360, + "ĠReferred": 47361, + "Sav": 47362, + "Ġupkeep": 47363, + "Ġworkplaces": 47364, + "ĠTokens": 47365, + "Ġamplify": 47366, + "clinical": 47367, + "Ġmultic": 47368, + "mberg": 47369, + "Ġconvoluted": 47370, + "Region": 47371, + "565": 47372, + "ĠTopic": 47373, + "Ġsnail": 47374, + "Ġsaline": 47375, + "Ġinsurrection": 47376, + "ĠPetr": 47377, + "forts": 47378, + "BAT": 47379, + "ĠNavajo": 47380, + "Ġrudimentary": 47381, + "ĠLaksh": 47382, + "ONDON": 47383, + "Measure": 47384, + "Ġtransformer": 47385, + "ĠGoddard": 47386, + "Ġcoincides": 47387, + "irin": 47388, + "Rex": 47389, + "ĠBok": 47390, + "quit": 47391, + "Ġshotguns": 47392, + "Ġproletarian": 47393, + "Ġscorp": 47394, + "ĠAda": 47395, + "514": 47396, + "Ġslander": 47397, + "recorded": 47398, + "Ġembell": 47399, + "risome": 47400, + "Ġapologizing": 47401, + "ĠMulcair": 47402, + "ĠGibraltar": 47403, + "Cla": 47404, + "Ġallot": 47405, + "ĠAttention": 47406, + "Ġ433": 47407, + "leave": 47408, + "Ġwhine": 47409, + "ĠIssa": 47410, + "ĠFaust": 47411, + "ĠBarron": 47412, + "heny": 47413, + "Ġvictimized": 47414, + "Jews": 47415, + "Ġnurturing": 47416, + "ettel": 47417, + "Winged": 47418, + "ĠSubtle": 47419, + "Ġflavorful": 47420, + "ĠReps": 47421, + "enged": 47422, + "callback": 47423, + "Ġdirectional": 47424, + "Ġclasp": 47425, + "ĠDirections": 47426, + "planet": 47427, + "iculture": 47428, + "Helper": 47429, + "icion": 47430, + "acia": 47431, + "Ġç¥ŀ": 47432, + "Ġsurges": 47433, + "Ġcanoe": 47434, + "ĠPremiership": 47435, + "been": 47436, + "Ġdefied": 47437, + "ĠTrooper": 47438, + "Ġtripod": 47439, + "Ġgasp": 47440, + "ĠEuph": 47441, + "ĠAds": 47442, + "vernight": 47443, + "highly": 47444, + "Role": 47445, + "Ġentangled": 47446, + "ĠZeit": 47447, + "618": 47448, + "ĠRusty": 47449, + "Ġhavens": 47450, + "ĠVaughan": 47451, + "HAEL": 47452, + "ĠSERVICE": 47453, + "/,": 47454, + "Ġstricken": 47455, + "Ġdelusions": 47456, + "Ġbis": 47457, + "ĠHaf": 47458, + "Ġgratification": 47459, + "Ġenticing": 47460, + "UNCH": 47461, + "Adams": 47462, + "ĠOLED": 47463, + "ĠBeetle": 47464, + "Ġ1899": 47465, + "ĠSOFTWARE": 47466, + "ategor": 47467, + "VL": 47468, + "ĠTotem": 47469, + "ĠGators": 47470, + "ATURES": 47471, + "Ġimpedance": 47472, + "Registered": 47473, + "ĠCary": 47474, + "ĠAerial": 47475, + "onne": 47476, + "enium": 47477, + "Ġdred": 47478, + "ĠBeg": 47479, + "Ġconcurrently": 47480, + "Ġsuperpower": 47481, + "ĠXan": 47482, + "jew": 47483, + "imester": 47484, + "ĠDickinson": 47485, + "âĶģ": 47486, + "Fla": 47487, + "Ġpree": 47488, + "ĠRollins": 47489, + "©¶æ": 47490, + "Ġdenomination": 47491, + "ĠLana": 47492, + "516": 47493, + "Ġinciting": 47494, + "scribed": 47495, + "juries": 47496, + "ĠWonders": 47497, + "approximately": 47498, + "Ġsuspending": 47499, + "Ġmountainous": 47500, + "ĠLaugh": 47501, + "oidal": 47502, + "Ns": 47503, + "Detect": 47504, + ")=": 47505, + "ĠLuthor": 47506, + "ĠSchwarzenegger": 47507, + "ĠMuller": 47508, + "ĠDevi": 47509, + "ecycle": 47510, + "Jar": 47511, + "613": 47512, + "ĠLongh": 47513, + "Bah": 47514, + "ĠSPORTS": 47515, + "nw": 47516, + "Ġrefinement": 47517, + "Ġwaterways": 47518, + "Ġdiner": 47519, + "Blade": 47520, + "683": 47521, + "Fac": 47522, + "Ġinitials": 47523, + "Ġrog": 47524, + "Ġparanormal": 47525, + "BUT": 47526, + "Ġ[(": 47527, + "ĠSwanson": 47528, + "ĠMesh": 47529, + "âĸ¬": 47530, + "Improve": 47531, + "ĠRadiation": 47532, + "ĠEsther": 47533, + "ĠEsk": 47534, + "ĠAly": 47535, + "iky": 47536, + "Ġirrad": 47537, + "ĠBuckingham": 47538, + "Ġrefill": 47539, + "Ġ._": 47540, + "Repe": 47541, + "CONCLUS": 47542, + "Ġdifferentiated": 47543, + "Ġchirop": 47544, + "ĠAtkins": 47545, + "Pattern": 47546, + "Ġexcise": 47547, + "Ġcabal": 47548, + "NSA": 47549, + "ĠSTA": 47550, + "ĠSIL": 47551, + "ĠParaly": 47552, + "Ġrye": 47553, + "ĠHowell": 47554, + "ĠCountdown": 47555, + "nesses": 47556, + "alysed": 47557, + "Ġresize": 47558, + "ãĤ½": 47559, + "Ġbudgetary": 47560, + "ĠStras": 47561, + "wang": 47562, + "Ġapiece": 47563, + "Ġprecincts": 47564, + "Ġpeach": 47565, + "Ġskyline": 47566, + "Ġ353": 47567, + "popular": 47568, + "Appearances": 47569, + "ĠMechanics": 47570, + "ĠDevOnline": 47571, + "Sullivan": 47572, + "Zen": 47573, + "Ġpu": 47574, + "opolis": 47575, + "544": 47576, + "Ġdeform": 47577, + "Ġcounteract": 47578, + "ĠLange": 47579, + "Ġ417": 47580, + "Console": 47581, + "774": 47582, + "Ġnodding": 47583, + "Ġpopulism": 47584, + "Ġhep": 47585, + "Ġcounselling": 47586, + "compliance": 47587, + "UFF": 47588, + "Ġundeniably": 47589, + "Ġrailing": 47590, + "ĠHorowitz": 47591, + "ĠSimone": 47592, + "ĠBungie": 47593, + "Ġak": 47594, + "ĠTalks": 47595, + "xff": 47596, + "flake": 47597, + "Crash": 47598, + "Ġsweaty": 47599, + "Ġbanquet": 47600, + "ĠOFFIC": 47601, + "Ġinventive": 47602, + "Ġastronomer": 47603, + "ĠStamford": 47604, + "ĠScare": 47605, + "ĠGREEN": 47606, + "olicited": 47607, + "Ġrusher": 47608, + "Ġcentrist": 47609, + "ighting": 47610, + "Ġsubclass": 47611, + "Ġdisav": 47612, + "Ġdefund": 47613, + "ĠNanto": 47614, + "ociate": 47615, + "mast": 47616, + "Ġpacif": 47617, + "Ġmend": 47618, + "eers": 47619, + "immigration": 47620, + "ESSION": 47621, + "Ġnumbering": 47622, + "Ġlaughable": 47623, + "ĠEnded": 47624, + "viation": 47625, + "emark": 47626, + "Pitt": 47627, + "Ġmeticulous": 47628, + "ĠLF": 47629, + "Ġcongratulated": 47630, + "ĠBirch": 47631, + "Ġswayed": 47632, + "Ġsemifinals": 47633, + "Ġhumankind": 47634, + "matter": 47635, + "ĠEquip": 47636, + "opausal": 47637, + "Said": 47638, + "ĠLayout": 47639, + "Ġvoicing": 47640, + "Ġthug": 47641, + "Ġpornographic": 47642, + "IPS": 47643, + "Ġmoaning": 47644, + "Ġgrievance": 47645, + "Ġconfessions": 47646, + "escal": 47647, + "TEXTURE": 47648, + "Authent": 47649, + "osaurus": 47650, + "Purchase": 47651, + "Ġrelegation": 47652, + "alter": 47653, + "Ġ³³": 47654, + "Ġriddled": 47655, + "Ġogre": 47656, + "ĠLowell": 47657, + "Occup": 47658, + "Eat": 47659, + "ĠHyder": 47660, + "ĠAdviser": 47661, + "Commerce": 47662, + "Hunt": 47663, + "ĠOrth": 47664, + "ĠCompetitive": 47665, + "ĠCLA": 47666, + "CDC": 47667, + "Ġsalads": 47668, + "Fle": 47669, + "Ġindustrialized": 47670, + "`,": 47671, + "ĠOWN": 47672, + "Ġbeck": 47673, + "ĠParticularly": 47674, + "oubt": 47675, + "ĠmM": 47676, + "ĠHussain": 47677, + "ĠChennai": 47678, + "Ġ920": 47679, + "Ġappointing": 47680, + "ĠCullen": 47681, + ",,,,,,,,": 47682, + "Ġpores": 47683, + "verified": 47684, + "Ġbiochemical": 47685, + "emate": 47686, + "Ġcowardly": 47687, + "ĠHelsinki": 47688, + "ĠEthiopian": 47689, + "SOURCE": 47690, + "ERC": 47691, + "estro": 47692, + "Ġbiotech": 47693, + "ĠSour": 47694, + "Ġbrewer": 47695, + "Bloomberg": 47696, + "Ġintensify": 47697, + "Glass": 47698, + "anco": 47699, + "ĠFDR": 47700, + "greSQL": 47701, + "ĠFires": 47702, + "©¶æ¥µ": 47703, + "eco": 47704, + "1001": 47705, + "ĠHomeless": 47706, + "Ġinstantaneous": 47707, + "ĠHaste": 47708, + "igel": 47709, + "Diamond": 47710, + "Ġpaving": 47711, + "Ġlandfill": 47712, + "Ġdads": 47713, + "houn": 47714, + ":]": 47715, + "Ġincendiary": 47716, + "ĠLivingston": 47717, + "ĠHilbert": 47718, + "ĠChecks": 47719, + "styles": 47720, + "inators": 47721, + "ĠClive": 47722, + "phrine": 47723, + "Ġchimpanzees": 47724, + "Ġpall": 47725, + "ĠJM": 47726, + "ĠAadhaar": 47727, + "ðĿ": 47728, + "Ġachievable": 47729, + "disabled": 47730, + "PET": 47731, + "OOOOOOOO": 47732, + "Mot": 47733, + "Ġintangible": 47734, + "Ġballet": 47735, + "ĠWebs": 47736, + "ĠEstimated": 47737, + "Effects": 47738, + "Ġbailed": 47739, + "Joshua": 47740, + "Ġturbulence": 47741, + "Ġoccupant": 47742, + "ĠDaylight": 47743, + "Ġ361": 47744, + "meet": 47745, + "Ġstatically": 47746, + "Ġonlook": 47747, + "Ġki": 47748, + "illegal": 47749, + "Ġvelvet": 47750, + "Ġdehydration": 47751, + "Ġacquies": 47752, + "ĠRez": 47753, + "akura": 47754, + "ĠUpton": 47755, + "atro": 47756, + "Ġincomprehensible": 47757, + "Ġbackdoor": 47758, + "ĠRhino": 47759, + "727": 47760, + "Ġmaths": 47761, + ")+": 47762, + "Ġheresy": 47763, + "Ġdf": 47764, + "ĠRoche": 47765, + "ĠLydia": 47766, + "Ġpancreat": 47767, + "reply": 47768, + "arrell": 47769, + "Ġsolicitation": 47770, + "Ġcircadian": 47771, + "BIP": 47772, + "Ġforay": 47773, + "Ġcryptic": 47774, + "izu": 47775, + "imeo": 47776, + "ĠTomato": 47777, + "ĠHoms": 47778, + "examination": 47779, + "Ġquarry": 47780, + "ĠValiant": 47781, + "ĠJericho": 47782, + "ĠINCLUD": 47783, + "Ġ1840": 47784, + "519": 47785, + "Ġresists": 47786, + "Ġsnapshots": 47787, + "ĠSpur": 47788, + "ĠAntiqu": 47789, + "Login": 47790, + "Ġbestselling": 47791, + "Ġantic": 47792, + "ĠSutherland": 47793, + "ãĤ¢ãĥ«": 47794, + "Ġ~/": 47795, + "ĠParm": 47796, + "èĥ": 47797, + "Pages": 47798, + "intensity": 47799, + "Ġimmobil": 47800, + "Ġ1865": 47801, + "zzo": 47802, + "Ġnifty": 47803, + "Ġfentanyl": 47804, + "ĠPreservation": 47805, + "ophen": 47806, + "Ġdarts": 47807, + "ĠDinosaur": 47808, + "pointers": 47809, + "ĠRite": 47810, + "suggest": 47811, + "awareness": 47812, + "ĠSheridan": 47813, + "Ġstances": 47814, + "Ġsorcery": 47815, + "Ġperjury": 47816, + "ĠNikola": 47817, + "iever": 47818, + "Ġfiance": 47819, + "ĠJordanian": 47820, + "ĠBalloon": 47821, + "Ġnab": 47822, + "Ġkb": 47823, + "Ġhumanities": 47824, + "ĠTanaka": 47825, + "hillary": 47826, + "Ġconsultancy": 47827, + "ĠZub": 47828, + "Ġremission": 47829, + "Ġconfid": 47830, + "CHQ": 47831, + "ĠFug": 47832, + "Ġimprovis": 47833, + "Yep": 47834, + "/_": 47835, + "Ġunwillingness": 47836, + "Ġportfolios": 47837, + "055": 47838, + "ĠInstructor": 47839, + "aiman": 47840, + "Ġclaimants": 47841, + "Mbps": 47842, + "ĠBye": 47843, + "received": 47844, + "Tweet": 47845, + "Ġindemn": 47846, + "riz": 47847, + "amara": 47848, + "Nat": 47849, + "Ġevaluates": 47850, + "ĠLur": 47851, + "epad": 47852, + "FOX": 47853, + "ĠThro": 47854, + "Ġrusty": 47855, + "Ġbedrock": 47856, + "ĠOprah": 47857, + "JB": 47858, + "Ġmanipulative": 47859, + "Ġwillful": 47860, + "Ġrelapse": 47861, + "Ġextant": 47862, + "Theme": 47863, + "Sensor": 47864, + "ĠStability": 47865, + "govern": 47866, + "Ġpoppy": 47867, + "Ġknack": 47868, + "Ġinsulated": 47869, + "ĠTile": 47870, + "ĠExtrem": 47871, + "Ġuntold": 47872, + "Ġconverge": 47873, + "Ġrefuel": 47874, + "igroup": 47875, + "Ġdistortions": 47876, + "Ġravaged": 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"model_max_length": 1024, + "pad_token": null, + "tokenizer_class": "GPT2Tokenizer", + "unk_token": "<|endoftext|>" +} diff --git a/tests/integration/test_worker_respawn_integration.py b/tests/integration/test_worker_respawn_integration.py new file mode 100644 index 00000000..ced4b010 --- /dev/null +++ b/tests/integration/test_worker_respawn_integration.py @@ -0,0 +1,491 @@ +""" +Integration test: an OpenArc inference worker is RESTARTED when it reports an +unrecoverable OpenVINO error (a wedged device / CL_OUT_OF_RESOURCES), using a +REAL ``openvino_genai`` pipeline running on the CPU device. + +The unit tests (``tests/unit/test_*_worker_unit.py``) exercise the whole +supervisor/respawn machinery with a *stubbed* model (``OPENARC_WORKER_STUB=1`` +- no OpenVINO, GPU, or model files). This test instead runs a genuine one: +it (re)generates a tiny ``openvino_genai`` LLM +(see ``tests/integration/_generate_tiny_ovllm.py``) and loads it in a real +worker subprocess on device ``CPU``. It then makes a request that drives the +worker's real error ladder - a ``CL_OUT_OF_RESOURCES``-style failure - so the +real worker reports ``MSG_FATAL`` and exits, and we assert the real supervisor +spawns a fresh process (a new PID, back to ``READY``) instead of leaving the +model dead. + +The unrecoverable condition only really happens on a wedged GPU/driver, not on +CPU, so the worker we spawn subclasses the *real* worker loop +(``src.engine.worker.worker_process._Worker``) and overrides only which model +object it builds. The model is a wrapper around the REAL ``OVGenAI_LLM`` (real +pipeline, real load on CPU, genuine inference for a healthy request); a request +carrying a control marker raises a ``CL_OUT_OF_RESOURCES`` ``RuntimeError`` - +exactly the exception class the worker's ``is_non_recoverable_error`` tells +apart from an ordinary per-request error. So the FATAL + exit + respawn path +exercised here is the entire production code; only the *model* is a test double +around it - and no production file is touched. + +The small model is committed under ``tests/integration/fixtures/`` (4 MB; well +under the 10 MB threshold for committing a fixture). If it is missing on a fresh +checkout, the test regenerates it on the fly by running the generator script +with the ``optimum-intel`` venv; if that is not possible it skips. + +Run with: + + pytest -W ignore tests/integration/test_worker_respawn_integration.py +""" + +from __future__ import annotations + +import asyncio +import os +import tempfile +from pathlib import Path +from typing import Any, Optional + +import pytest # type: ignore[import] + +from src.engine.worker import protocol as proto +from src.engine.worker.supervisor import EOF, WorkerSupervisor +from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig +from src.server.schemas.registration import EngineType, ModelLoadConfig, ModelType + +REPO_ROOT = Path(__file__).resolve().parents[2] +FIXTURE_MODEL = REPO_ROOT / "tests" / "integration" / "fixtures" / "tiny-gpt2-ov" +GENERATOR = REPO_ROOT / "tests" / "integration" / "_generate_tiny_ovllm.py" +# optimum-intel (the HF -> OpenVINO converter) lives in its own venv (see +# setup.sh) separate from the openarc-devel venv that runs the tests. +OPTIMUM_INTEL_PY = os.environ.get( + "OPTIMUM_INTEL_PYTHON", + "/home/eckhard/.local/pyvenv/optimum-intel/bin/python", +) + +# The control token in a request's prompt that makes the worker raise a +# non-recoverable error. Sent verbatim; the worker reads it from env so the test +# never has to (they share this default). +WEDGE_MARKER = "OV_WEDGE" + +# The worker module the test spawns as the child's entry point. It subclasses +# the real worker loop and only swaps the model object it builds for one that +# wraps the REAL OVGenAI_LLM but raises a non-recoverable error for a request +# carrying the wedge marker. Everything else (the protocol loop, the real +# is_non_recoverable_error classification, the FATAL + os._exit, the supervisor +# respawn) is the genuine production code. It is written to a temp dir and +# placed at the front of the child's PYTHONPATH, so no production module changes. +WORKER_MAIN_SRC = r''' +from __future__ import annotations + +import asyncio +import os +import sys + +from src.engine.worker import protocol as proto +from src.engine.worker.worker_process import _Worker, _configure_logging +from src.engine.ov_genai.llm import OVGenAI_LLM + +WEDGE_MARKER = os.environ.get("OPENARC_WORKER_WEDGE_MARKER", "OV_WEDGE") + + +def _payload_text(gen_config: Any) -> str: + """Read the control text out of a (validated) OVGenAI_GenConfig, the same + way the production stub worker does, so a prompt carrying the marker is + detected without any extra wire fields.""" + text = gen_config.prompt or "" + for msg in gen_config.messages or []: + content = msg.get("content") + if isinstance(content, str): + text += " " + content + return text + + +class _WedgeLLM: + """Wraps a real OVGenAI_LLM (real pipeline, real load on CPU). A request + carrying the wedge marker raises a CL_OUT_OF_RESOURCES-style error so the + worker's *real* error ladder takes the process down; any other request runs + genuine inference and returns real (metrics, text) output.""" + + def __init__(self, load_config: Any) -> None: + self.load_config = load_config + self._inner = OVGenAI_LLM(load_config) + + def load_model(self, loader: Any) -> None: + # REAL openvino_genai.LLMPipeline build on the loader's device (CPU). + self._inner.load_model(loader) + + async def generate_type(self, gen_config: Any) -> Any: + if WEDGE_MARKER and WEDGE_MARKER in _payload_text(gen_config): + # This is what a wedged GPU/driver surfaces through the openvino C++ + # layer; proto.is_non_recoverable_error classifies it, the worker + # reports FATAL and exits, and the supervisor respawns a fresh one. + raise RuntimeError( + "CL_OUT_OF_RESOURCES executing the LLM pipeline " + "(injected: a transient, non-recoverable device failure)" + ) + # Healthy path: genuine inference. This openvino-genai build's + # pipeline.get_tokenizer() carries no detokenizer for this model, so + # decode with the AutoTokenizer the real OVGenAI_LLM already loads. + import openvino as ov + + prompt = gen_config.prompt or "ping" + ids = self._inner.encoder_tokenizer.encode(prompt, return_tensors="np") + cfg = self._inner.model.get_generation_config() + cfg.max_new_tokens = 8 + cfg.temperature = 0.0 + cfg.top_k = 1 + cfg.top_p = 1.0 + result = await asyncio.to_thread(self._inner.model.generate, ov.Tensor(ids), cfg) + decoded = self._inner.encoder_tokenizer.decode( + list(result.tokens), skip_special_tokens=True + ) + text = decoded[0] if isinstance(decoded, (list, tuple)) else decoded + yield { + "new_token": len(result.tokens), + "stream": False, + "load_time (s)": 0.0, + } + yield text if text is not None else "" + + async def transcribe(self, gen_config: Any) -> Any: + raise NotImplementedError("the wedge test model serves LLM only") + + +class _WedgeWorker(_Worker): + def _build_model(self, load_config: Any) -> Any: + # The real workloop, the real protocol, the real error ladder; only the + # model object being built differs (a test double around the real one). + return _WedgeLLM(load_config) + + +def main() -> int: + _configure_logging() + worker = _WedgeWorker() + try: + asyncio.run(worker.run()) + return 0 + except SystemExit as e: # the process is the unit under test + return int(e.code) if isinstance(e.code, int) else 0 + except KeyboardInterrupt: + return 130 + except Exception as e: + # Mirror the real worker's top-level guard: anything uncaught here means + # the pipeline's ov::Core is poisoned, so it is FATAL and the process + # must exit so the parent can spawn a clean one. + sys.stdout.buffer.write( + proto.encode_response(proto.MSG_FATAL, error=proto.serialize_error(e)) + ) + sys.stdout.buffer.flush() + return 1 +''' + + +class _FakeRegistry: + """Minimal stand-in for ModelRegistry for tests that only observe how the + supervisor's on_dead callback reports a permanently dead (quarantined) + worker to the registry.""" + + def __init__(self) -> None: + self.unloaded: list = [] + + async def register_unload(self, model_name: str, administrative: bool = False) -> bool: + self.unloaded.append(model_name) + return True + + +class _WedgeWorkerSupervisor(WorkerSupervisor): + """WorkerSupervisor that runs the test's worker module instead of the real + one; it injects the temp dir holding that module into the child's path so + the ``from import main`` entry point resolves, and it keeps the + test-side repo root on the path so the child can import ``src.*``.""" + + WORKER_ENTRY = "openarc_worker_respawn_wedge_main" + + def __init__( + self, + *args: Any, + module_dir: Optional[str] = None, + extra_paths: Optional[list] = None, + **kwargs: Any, + ) -> None: + super().__init__(*args, **kwargs) + self._module_dir = module_dir + self._extra_paths = [p for p in (extra_paths or []) if p] + + def _build_env(self) -> dict: + env = super()._build_env() + paths = [p for p in env.get("PYTHONPATH", "").split(os.pathsep) if p] + for path in [self._module_dir, *self._extra_paths]: + if path and path not in paths: + paths.insert(0, path) + env["PYTHONPATH"] = os.pathsep.join(paths) + return env + + +def _ensure_model() -> Optional[Path]: + """Return the model dir, generating it on the fly if it is not committed. + + Prefers the committed fixture; if it is absent (fresh checkout), runs the + generator script once; skips (returns None) if generation is not possible + here (no network / no optimum-intel venv) rather than failing red. + """ + if FIXTURE_MODEL.is_dir() and (FIXTURE_MODEL / "openvino_model.xml").exists(): + return FIXTURE_MODEL + if not GENERATOR.is_file(): + return None + if not os.path.exists(OPTIMUM_INTEL_PY): + return None + # Cache the HF download / convert staging OUTSIDE the repo (the committed + # model is just the small IR+tokenizer dir); a repo-internal cache would + # bloat the tree and tempt a stray commit. + cache_dir = os.path.join(tempfile.gettempdir(), "openarc-test-models") + env = dict(os.environ, OPENARC_TEST_MODEL_CACHE=cache_dir) + try: + # Run the generator with the optimum-intel venv (optimum/optimum-intel + # live there, not in the openarc-devel venv running the tests). + returncode = os.system( + f"{OPTIMUM_INTEL_PY!r} {str(GENERATOR)!r}" + ) + ok = returncode == 0 if isinstance(returncode, int) else True + except Exception: + ok = False + if ok and FIXTURE_MODEL.is_dir() and (FIXTURE_MODEL / "openvino_model.xml").exists(): + return FIXTURE_MODEL + return None + + +def _write_worker_module(tmp_path: Path) -> Path: + module_dir = tmp_path / "worker" + module_dir.mkdir(parents=True, exist_ok=True) + (module_dir / f"{_WedgeWorkerSupervisor.WORKER_ENTRY}.py").write_text( + WORKER_MAIN_SRC, encoding="utf-8" + ) + return module_dir + + +def _load_config( + model_dir: Path, + model_name: str, + worker_max_respawns: Optional[int], +) -> ModelLoadConfig: + return ModelLoadConfig( + model_path=str(model_dir), + model_name=model_name, + model_type=ModelType.LLM, + engine=EngineType.OV_GENAI, + device="CPU", + worker_max_respawns=worker_max_respawns, + ) + + +def _gen_config(prompt: str, stream: bool = False) -> OVGenAI_GenConfig: + return OVGenAI_GenConfig( + prompt=prompt, + stream=stream, + max_tokens=8, + temperature=0.0, + top_k=1, + top_p=1.0, + ) + + +async def _drain(sup: WorkerSupervisor, gen_config: OVGenAI_GenConfig) -> list: + """Send one request and collect its items; re-raise the result future's + exception (so an unrecoverable error surfaces as RemoteWorkerDeadError).""" + queue, result = await sup.begin_run( + proto.OP_GENERATE, gen_config.model_dump_json(), gen_config.request_id + ) + items: list = [] + while True: + item = await queue.get() + if item is EOF: + break + items.append(item) + await result # raises if the worker reported an error/fatal + return items + + +async def _wait_for_respawn( + sup: WorkerSupervisor, first_pid: Optional[int], timeout: float = 120.0 +) -> None: + """Wait until the supervisor has detected the death and the respawned worker + is ready again (a fresh PID proves a fresh process / fresh ov::Core).""" + + async def _poll() -> None: + while sup.pid == first_pid or sup.status()["state"] != "ready": + await asyncio.sleep(0.05) + + await asyncio.wait_for(_poll(), timeout) + + +async def _wait_for_state( + sup: WorkerSupervisor, state: str, timeout: float = 120.0 +) -> None: + + async def _poll() -> None: + while sup.status()["state"] != state: + await asyncio.sleep(0.05) + + await asyncio.wait_for(_poll(), timeout) + + +def _make_supervisor( + load_config: ModelLoadConfig, + registry: _FakeRegistry, + module_dir: Path, +) -> _WedgeWorkerSupervisor: + async def on_dead() -> None: + await registry.register_unload(load_config.model_name) + + return _WedgeWorkerSupervisor( + load_config.model_name, + load_timeout=120.0, + max_respawns=2, + on_dead=on_dead, + module_dir=str(module_dir), + extra_paths=[str(REPO_ROOT)], + ) + + +def test_worker_is_respawned_after_unrecoverable_openvino_error(tmp_path: Any) -> None: + """An unrecoverable (CL_OUT_OF_RESOURCES-style) error while serving: the + worker reports it and exits, and the supervisor spawns a fresh process that + comes back up READY. With the default budget (2) a single crash is within + budget, so the model is reloaded and is NOT quarantined; the fresh worker + then serves a normal request again (proof the respawn yields a usable + process, not just another one that also dies).""" + model_dir = _ensure_model() + if model_dir is None: + pytest.skip( + f"tiny OVGenAI model fixture missing at {FIXTURE_MODEL}; generate it " + f"with `{Path(OPTIMUM_INTEL_PY)} {GENERATOR}` (set OPTIMUM_INTEL_PYTHON " + f"to the optimum-intel venv, if different) or commit it." + ) + + async def _run() -> None: + registry = _FakeRegistry() + module_dir = _write_worker_module(tmp_path) + load_config = _load_config(model_dir, "wedge-llm", worker_max_respawns=None) + sup = _make_supervisor(load_config, registry, module_dir) + try: + await sup.start(load_config) + assert sup.status()["state"] == "ready" + pid0 = sup.pid + assert pid0 is not None + # None in the load config => the supervisor's own default budget (2). + assert sup.status()["max_respawns"] == 2 + + # (1) A normal request on the real pipeline: it serves real output + # (metrics dict, then text), and the worker stays up. + healthy = await _drain(sup, _gen_config("ping please")) + assert healthy[0].get("stream") is False + assert isinstance(healthy[-1], str) + assert sup.pid == pid0 + assert sup.status()["state"] == "ready" + assert registry.unloaded == [] + + # (2) An unrecoverable error fires the worker's real FATAL + exit, + # and the supervisor respawns a fresh process within budget. + with pytest.raises(proto.RemoteWorkerDeadError) as exc_info: + await _drain(sup, _gen_config(f"{WEDGE_MARKER} say hi")) + # The death is classified as a non-recoverable device failure. + assert "CL_OUT_OF_RESOURCES" in str(exc_info.value) + + await _wait_for_respawn(sup, pid0) + assert sup.pid != pid0 # a genuinely fresh process / Core + assert sup.status()["state"] == "ready" + assert sup.status()["respawns"] == 1 + # Within the default budget of 2, so the model is reloaded, not quarantined. + assert registry.unloaded == [] + + # (3) The respawned worker is usable again: a normal request succeeds. + again = await _drain(sup, _gen_config("ping again")) + assert again[0].get("stream") is False + assert isinstance(again[-1], str) + assert registry.unloaded == [] + finally: + await sup.unload() + + asyncio.run(asyncio.wait_for(_run(), timeout=600)) + + +def test_worker_max_respawns_zero_never_quarantines(tmp_path: Any) -> None: + """worker_max_respawns=0 means NO limit, on a REAL worker: it is reloaded on + every unrecoverable crash (here 3) and is never unloaded/quarantined.""" + model_dir = _ensure_model() + if model_dir is None: + pytest.skip( + f"tiny OVGenAI model fixture missing at {FIXTURE_MODEL}; generate it " + f"with `{Path(OPTIMUM_INTEL_PY)} {GENERATOR}` or commit it." + ) + + async def _run() -> None: + registry = _FakeRegistry() + module_dir = _write_worker_module(tmp_path) + load_config = _load_config(model_dir, "wedge-llm", worker_max_respawns=0) + sup = _make_supervisor(load_config, registry, module_dir) + try: + await sup.start(load_config) + assert sup.status()["max_respawns"] == 0 # override applied in start() + + crashes = 3 + for _ in range(crashes): + pid = sup.pid + assert pid is not None + with pytest.raises(proto.RemoteWorkerDeadError): + await _drain(sup, _gen_config(f"{WEDGE_MARKER} crash")) + await _wait_for_respawn(sup, pid) + assert sup.pid != pid # each crash respawns a fresh process + assert sup.status()["state"] == "ready" + assert registry.unloaded == [] # 0 => never quarantined + assert sup.status()["respawns"] == crashes + finally: + await sup.unload() + + asyncio.run(asyncio.wait_for(_run(), timeout=600)) + + +def test_worker_max_respawns_budget_then_quarantines(tmp_path: Any) -> None: + """The configurable budget, end-to-end with a real worker: with + worker_max_respawns=1 the worker is reloaded ONCE after an unrecoverable + crash, then quarantined (unloaded from the registry) on the next one - the + original "reloaded twice under the default of 2, quit on the 3rd" behaviour, + now parameterised down to a single respawn.""" + model_dir = _ensure_model() + if model_dir is None: + pytest.skip( + f"tiny OVGenAI model fixture missing at {FIXTURE_MODEL}; generate it " + f"with `{Path(OPTIMUM_INTEL_PY)} {GENERATOR}` or commit it." + ) + + async def _run() -> None: + registry = _FakeRegistry() + module_dir = _write_worker_module(tmp_path) + load_config = _load_config(model_dir, "wedge-llm", worker_max_respawns=1) + sup = _make_supervisor(load_config, registry, module_dir) + try: + await sup.start(load_config) + assert sup.status()["max_respawns"] == 1 # override applied in start() + + # First crash: within the budget of 1 -> respawn (not quarantined). + first_pid = sup.pid + assert first_pid is not None + with pytest.raises(proto.RemoteWorkerDeadError): + await _drain(sup, _gen_config(f"{WEDGE_MARKER} first")) + await _wait_for_respawn(sup, first_pid) + assert sup.status()["respawns"] == 1 + assert registry.unloaded == [] # budget not yet spent + + # Second crash: the budget is spent -> the model is quarantined. + second_pid = sup.pid + with pytest.raises(proto.RemoteWorkerDeadError): + await _drain(sup, _gen_config(f"{WEDGE_MARKER} second")) + await _wait_for_state(sup, "dead") + for _ in range(200): + if registry.unloaded: + break + await asyncio.sleep(0.01) + assert registry.unloaded == [load_config.model_name] + assert sup.pid == second_pid # no third respawn + finally: + await sup.unload() + + asyncio.run(asyncio.wait_for(_run(), timeout=600)) From d942c485bede0066eb7d141f10ffa80ea0a86d56 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Tue, 29 Sep 2026 00:36:23 +0200 Subject: [PATCH 10/16] [#178] Improved logging for worker subprocess (re-)spawn. --- docs/worker-processes.md | 2 +- src/engine/worker/protocol.py | 15 + src/engine/worker/supervisor.py | 55 +++- src/engine/worker/worker_process.py | 28 +- src/server/main.py | 17 +- src/server/routes/openai.py | 58 ++++ src/server/worker_registry.py | 87 +++-- ...enai_worker_restart_logging_integration.py | 311 ++++++++++++++++++ ...rker_send_unlimited_respawn_integration.py | 179 ++++++++++ tests/unit/test_worker_registry_unit.py | 5 +- 10 files changed, 715 insertions(+), 42 deletions(-) create mode 100644 tests/integration/test_openai_worker_restart_logging_integration.py create mode 100644 tests/integration/test_worker_send_unlimited_respawn_integration.py diff --git a/docs/worker-processes.md b/docs/worker-processes.md index 1f14186f..7bc130fe 100644 --- a/docs/worker-processes.md +++ b/docs/worker-processes.md @@ -77,7 +77,7 @@ in the server, so the public response shapes are unchanged. ## What you will see in `openarc.log` -- `spawning inference worker: ...` / `inference worker ready (pid=...)` +- `spawning inference worker: ...`, then `inference worker started (pid=...)` when the process is up (once per start/respawn), then `model loaded (pid=...)` when its model has loaded - the worker's own stdout of OpenVINO/OpenCL (forwarded from its stderr), prefixed with `[ pid=...]` - `inference worker exited unexpectedly (code=...)` + `respawning inference worker (n/)` on recovery — or `respawning inference worker (respawn #n; no restart limit)` when `worker_max_respawns` is `0`/negative (no limit) diff --git a/src/engine/worker/protocol.py b/src/engine/worker/protocol.py index 613a0836..e575337f 100644 --- a/src/engine/worker/protocol.py +++ b/src/engine/worker/protocol.py @@ -129,8 +129,23 @@ class RemoteWorkerDeadError(RemoteWorkerError): Distinct from a plain RemoteWorkerError on purpose: a dead worker is the supervisor's problem (it respawns within budget, or unloads the model once the budget is exhausted), so the registry must NOT also trigger an unload. + + ``will_respawn`` is the supervisor's heal-vs-terminal decision (True = a + restart within budget, so log a single short, cause-only line; False = + terminal/exhausted, so a full traceback is expected). Defaults to False. """ + def __init__( + self, + message: str, + *, + original_type: Optional[str] = None, + will_respawn: bool = False, + ) -> None: + super().__init__(message) + self.original_type = original_type + self.will_respawn = will_respawn + # OpenCL / driver conditions that poison the process-wide ov::Core: once one # of these happens, no in-process model unload or recompile can recover the diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py index 01a66c72..191b74bd 100644 --- a/src/engine/worker/supervisor.py +++ b/src/engine/worker/supervisor.py @@ -206,6 +206,9 @@ async def _spawn(self) -> None: cwd=os.getcwd(), env=self._build_env(), ) + # Log the started worker's pid from the supervisor so it lands on the + # server's stdout / openarc.log (the analogue of "Started server process [pid]"). + logger.info(f"[{self._model_name}] inference worker started (pid={self.pid})") # Note: the child's stdout/stderr readers keep asyncio's default # readline limit, so this side never calls readline() on them -- # see _read_lines (protocol lines can be very large, see @@ -242,18 +245,27 @@ async def _spawn_and_load(self, timeout: Optional[float]) -> None: f"worker did not finish loading within {timeout:.0f}s" ) from e self._set_state(self.STATE_READY) - logger.info(f"[{self._model_name}] inference worker ready (pid={self.pid})") + logger.info(f"[{self._model_name}] model loaded (pid={self.pid})") # -- sending ----------------------------------------------------------------- async def _send(self, data: bytes) -> None: proc = self._proc + # A failed write (or an already-exited proc) means the worker died before + # the reader loop noticed: carry the same will_respawn decision as the + # other death sites -- defaulting it to False was the one spot that let a + # still-respawning worker leak a full "respawn budget is exhausted" / + # "Exception in ASGI application" trace even under no respawncap. if proc is None or proc.stdin is None or proc.returncode is not None: - raise proto.RemoteWorkerDeadError("worker process is not running") + raise proto.RemoteWorkerDeadError( + "worker process is not running", will_respawn=self._will_respawn() + ) try: proc.stdin.write(data) await proc.stdin.drain() except (ConnectionResetError, BrokenPipeError, ValueError, OSError) as e: - raise proto.RemoteWorkerDeadError(f"cannot write to worker process: {e}") from e + raise proto.RemoteWorkerDeadError( + f"cannot write to worker process: {e}", will_respawn=self._will_respawn() + ) from e # -- request API ---------------------------------------------------------------- async def begin_run( @@ -267,8 +279,12 @@ async def begin_run( (None) or raises. """ if self._state != self.STATE_READY: + # Not READY = loading, or respawning / terminated. Mirror the + # supervisor's own heal-vs-terminal decision: short while restarting, + # a full trace once it is terminal. raise proto.RemoteWorkerDeadError( - f"inference worker not ready (state={self._state})" + f"inference worker not ready (state={self._state})", + will_respawn=self._will_respawn(), ) loop = asyncio.get_running_loop() req = _PendingRequest(uuid.uuid4().hex) @@ -496,7 +512,11 @@ def _dispatch(self, msg: Dict[str, Any]) -> None: # RemoteWorkerDeadErrors -- the supervisor owns recovery (respawn # within budget, or an unload once it is exhausted), and the # registry must not double-act by unloading on the request error. - exc = proto.RemoteWorkerDeadError(message, original_type=err.get("type")) + exc = proto.RemoteWorkerDeadError( + message, + original_type=err.get("type"), + will_respawn=self._will_respawn(), + ) self._fail_load(exc) self._fail_all_active(exc) elif mtype == proto.MSG_BYE: @@ -538,6 +558,15 @@ def _fail_all_active(self, exc: BaseException) -> None: self._finish_request(req_id, exc) # -- death & respawn ------------------------------------------------------------------ + def _will_respawn(self) -> bool: + """Whether the supervisor will still respawn the worker on this death. + + True while in budget (a positive one not yet spent, or the unlimited + ``max_respawns <= 0``); otherwise terminal. The single heal-vs-terminal + decision the rest of the log path keys off, from the supervisor's counters. + """ + return self._max_respawns <= 0 or self._respawns < self._max_respawns + def _on_process_exited(self, code: Optional[int]) -> None: if self._death_handled: return @@ -553,7 +582,8 @@ def _on_process_exited(self, code: Optional[int]) -> None: f"[{self._model_name}] inference worker exited unexpectedly{detail}{suffix}" ) death_error = proto.RemoteWorkerDeadError( - f"inference worker process exited unexpectedly{detail}{suffix}" + f"inference worker process exited unexpectedly{detail}{suffix}", + will_respawn=self._will_respawn(), ) was_loading = self._load_future is not None and not self._load_future.done() self._fail_load(death_error) @@ -570,26 +600,33 @@ def _on_process_exited(self, code: Optional[int]) -> None: # 0 or negative is "no limit": the worker is reloaded every time it dies # and is never quarantined (a positive N reintroduces the budget). unlimited = self._max_respawns <= 0 + cause = self._fatal_error or "process exited" if unlimited or self._respawns < self._max_respawns: + # Still inside the respawn budget: a HEALING event -- log a single short + # cause line, no traceback (the worker is merely restarting, in budget). self._respawns += 1 self._set_state(self.STATE_RESTARTING) if unlimited: logger.warning( f"[{self._model_name}] respawning inference worker " - f"(respawn #{self._respawns}; no restart limit)" + f"(respawn #{self._respawns}; no restart limit); cause: {cause}" ) else: logger.warning( f"[{self._model_name}] respawning inference worker " - f"({self._respawns}/{self._max_respawns})" + f"({self._respawns}/{self._max_respawns}); cause: {cause}" ) self._respawn_task = asyncio.create_task( self._respawn(), name=f"ovworker-respawn-{self._model_name}" ) else: + # Respawn budget exhausted: the model is now TERMINAL -- a full + # traceback is allowed (emitted by the next request that sees the dead worker). self._set_state(self.STATE_DEAD) logger.error( - f"[{self._model_name}] respawn budget exhausted; worker is dead" + f"[{self._model_name}] respawn budget exhausted " + f"({self._respawns}/{self._max_respawns}); worker is dead; " + f"cause: {cause}" ) if self._on_dead is not None: asyncio.create_task(self._fire_on_dead()) diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py index 57b634c5..647aa4b0 100644 --- a/src/engine/worker/worker_process.py +++ b/src/engine/worker/worker_process.py @@ -311,7 +311,15 @@ async def _do_load(self, msg: Dict[str, Any]) -> None: logger.info(f"[{load_config.model_name}] pipeline ready") await self.send(proto.encode_response(proto.MSG_LOAD_OK, req_id=msg["req_id"])) except Exception as e: - logger.error(f"[{self.model_name or 'load'}] pipeline load failed", exc_info=True) + # ERROR logs the message only; the full traceback goes to DEBUG, + # suppressed at the worker's default INFO (the supervisor forwards + # the worker's log, so a per-call trace would flood the openarc log). + logger.error(f"[{self.model_name or 'load'}] pipeline load failed: {e}") + logger.debug( + f"[{self.model_name or 'load'}] pipeline load failed ({type(e).__name__}); " + "full traceback follows", + exc_info=True, + ) if proto.is_non_recoverable_error(e): # The device is wedged: this process's ov::Core is poisoned # and no in-process retry can fix it -- take the process down @@ -376,9 +384,21 @@ async def _report_run_error(self, e: BaseException, req_id: str, method_name: st """The shared error ladder for failed runs (reused by protocol variants): recoverable -> MSG_ERROR (worker stays up); non-recoverable (wedged device / native failure) -> MSG_FATAL + exit so the supervisor - respawns a clean process.""" - logger.error(f"[{self.model_name}] {method_name} failed", exc_info=True) - if proto.is_non_recoverable_error(e): + respawns a clean process. + + ERROR logs the message only (what the openarc log always shows); the + full traceback goes to DEBUG, suppressed at the worker's default INFO + but surfaced if an operator lowers the level -- the supervisor forwards + the worker's stderr line-by-line, so a full trace would flood the log.""" + recoverable = not proto.is_non_recoverable_error(e) + logger.error(f"[{self.model_name}] {method_name} failed: {e}") + logger.debug( + f"[{self.model_name}] {method_name} raised {type(e).__name__}: " + + ("recoverable (worker stays up)" if recoverable + else "non-recoverable (worker will exit for a respawn)"), + exc_info=True, + ) + if not recoverable: try: await self.send( proto.encode_response(proto.MSG_FATAL, error=proto.serialize_error(e)) diff --git a/src/server/main.py b/src/server/main.py index 282d5d58..e5d1b2cc 100644 --- a/src/server/main.py +++ b/src/server/main.py @@ -16,6 +16,7 @@ from src.server.deps import _registry from src.server.routes.openai import router as openai_router from src.server.routes.openarc import router as openarc_router +from src.engine.worker.protocol import RemoteWorkerDeadError logger = logging.getLogger(__name__) _access_logger = logging.getLogger("openarc.access") @@ -114,8 +115,20 @@ async def validation_exception_handler(request: Request, exc: RequestValidationE @app.exception_handler(Exception) async def global_exception_handler(request: Request, exc: Exception): - logger.error(f"Unhandled exception: {exc}", exc_info=True) - logger.error(f"Full traceback:\n{''.join(traceback.format_tb(exc.__traceback__))}") + # A worker still being respawned within its budget (the exception's + # will_respawn, set by the supervisor) is a one-line note; only a terminal + # death emits the full "Unhandled exception" / "Full traceback". + healing = isinstance(exc, RemoteWorkerDeadError) and exc.will_respawn + if healing: + logger.warning( + f"Worker restart in progress for {request.method} " + f"{request.url.path} ({exc})" + ) + else: + logger.error(f"Unhandled exception: {exc}", exc_info=True) + logger.error( + f"Full traceback:\n{''.join(traceback.format_tb(exc.__traceback__))}" + ) return JSONResponse( status_code=500, content={"status": "error", "detail": str(exc)} ) diff --git a/src/server/routes/openai.py b/src/server/routes/openai.py index c9a51f40..20e32c79 100644 --- a/src/server/routes/openai.py +++ b/src/server/routes/openai.py @@ -53,6 +53,36 @@ } +def _end_stream_on_worker_restart( + *, + label: str, + request_id: str, + created_ts: int, + model_name: str, + object_name: str, + choice: dict, + cause: object, +) -> List[bytes]: + """End a stream courteously (a short note + a graceful terminal + [DONE]) + when the worker is being restarted within its respawn budget, so its in-flight + requests end cleanly instead of escaping to the ASGI handler as a full trace. + """ + logger.warning( + f"{label} {model_name}: worker restart in progress ({cause}); " + f"ending stream for {request_id}" + ) + _terminal = json.dumps( + { + "id": request_id, + "object": object_name, + "created": created_ts, + "model": model_name, + "choices": [choice], + } + ) + return [f"data: {_terminal}\n\n".encode(), b"data: [DONE]\n\n"] + + def _get_record(model_name: str): """Return the loaded ModelRecord for a model_name, or None. @@ -294,6 +324,20 @@ def _chunk(delta: dict) -> bytes: if isinstance(item, dict): if item.get("error"): + # A still-restarting worker (respawning within its budget): end this + # stream courteously via the helper (a short note, no traceback). + if item.get("will_respawn"): + for _chunk in _end_stream_on_worker_restart( + label="[chat/completions]", + request_id=request_id, + created_ts=created_ts, + model_name=model_name, + object_name="chat.completion.chunk", + choice={"index": 0, "delta": {}, "finish_reason": "error"}, + cause=item["error"], + ): + yield _chunk + return raise RuntimeError(item["error"]) if "chat_delta" in item: # Parsed deltas from Qwen35ToolCallStreamer @@ -463,6 +507,20 @@ async def event_stream() -> AsyncIterator[bytes]: if isinstance(item, dict): if item.get("error"): + # A still-restarting worker (respawning within its budget): end this + # stream courteously via the helper (a short note, no traceback). + if item.get("will_respawn"): + for _chunk in _end_stream_on_worker_restart( + label="[completions]", + request_id=request_id, + created_ts=created_ts, + model_name=model_name, + object_name="text_completion.chunk", + choice={"index": 0, "text": "", "finish_reason": "error"}, + cause=item["error"], + ): + yield _chunk + return raise RuntimeError(item["error"]) metrics_data = item.get("metrics", item) continue diff --git a/src/server/worker_registry.py b/src/server/worker_registry.py index 59afdf93..834797eb 100644 --- a/src/server/worker_registry.py +++ b/src/server/worker_registry.py @@ -89,10 +89,33 @@ def _mark_inference_error(packet: WorkerPacket, exc: BaseException) -> None: packet.metrics = None +def _log_inference_failure(label: str, exc: BaseException) -> None: + """Log a failed inference. + + A worker still being respawned within its budget (``will_respawn``) gets a + single short, cause-only line; only a terminal death or a non-recovery + failure logs the full traceback. + """ + if isinstance(exc, RemoteWorkerDeadError) and exc.will_respawn: + logger.warning( + f"{label}: inference worker is being restarted within its respawn " + f"budget (cause only): {exc}" + ) + return + logger.error(label, exc_info=True) + + async def _signal_stream_error(packet: WorkerPacket, exc: BaseException) -> None: if packet.stream_queue is None: return - await packet.stream_queue.put({"error": str(exc)}) + # Carry the supervisor's heal-vs-terminal decision (will_respawn) onto the + # item, so the route can end the stream courteously for a healing worker. + await packet.stream_queue.put( + { + "error": str(exc), + "will_respawn": bool(getattr(exc, "will_respawn", False)), + } + ) await packet.stream_queue.put(None) @@ -109,15 +132,22 @@ def _commit_completed_packet( return False if completed.error is not None: if isinstance(completed.error, RemoteWorkerDeadError): - # The worker PROCESS died (crash, wedge, or it is mid-respawn). - # The supervisor owns recovery: it respawns a fresh process within - # budget, or unloads the model itself once the budget is - # exhausted. The registry must NOT double-act by unloading here -- - # that would kill an in-flight respawn. - logger.error( - f"[{model_name}] Inference failed because the inference worker " - f"process died; the supervisor is handling recovery." - ) + # The worker process is dead: the supervisor owns recovery (respawn + # within budget, then unload), so the registry must not also unload. + if getattr(completed.error, "will_respawn", False): + # Healing: supervisor respawning within budget -- log a short, cause-only line. + logger.warning( + f"[{model_name}] Inference hit a worker crash; the supervisor " + f"is restarting it within budget (cause: {completed.error})." + ) + else: + # Terminal: respawn budget exhausted -- a full traceback is allowed. + logger.error( + f"[{model_name}] Inference failed because the inference " + f"worker process died and its respawn budget is exhausted " + f"(cause: {completed.error}).", + exc_info=True, + ) if packet.result_future is not None and not packet.result_future.done(): packet.result_future.set_exception(completed.error) return False @@ -177,7 +207,7 @@ async def infer_llm(packet: WorkerPacket, llm_instance: Union[OVGenAI_LLM, Remot await packet.stream_queue.put({"metrics": metrics}) await packet.stream_queue.put(None) except Exception as e: - logger.error("LLM inference failed!", exc_info=True) + _log_inference_failure("LLM inference failed!", e) _mark_inference_error(packet, e) if packet.gen_config.stream: await _signal_stream_error(packet, e) @@ -212,7 +242,7 @@ async def infer_vlm(packet: WorkerPacket, vlm_model: Union[OVGenAI_VLM, RemoteOV await packet.stream_queue.put({"metrics": metrics}) await packet.stream_queue.put(None) except Exception as e: - logger.error("VLM inference failed!", exc_info=True) + _log_inference_failure("VLM inference failed!", e) _mark_inference_error(packet, e) if packet.gen_config.stream: await _signal_stream_error(packet, e) @@ -242,7 +272,7 @@ async def infer_whisper(packet: WorkerPacket, whisper_model: Union[OVGenAI_Whisp logger.warning(f"Whisper request rejected: {e}") packet.request_error = e except Exception as e: - logger.error("Whisper inference failed!", exc_info=True) + _log_inference_failure("Whisper inference failed!", e) _mark_inference_error(packet, e) return packet @@ -259,7 +289,7 @@ async def infer_qwen3_asr(packet: WorkerPacket, asr_model: Union[OVQwen3ASR, Rem logger.warning(f"Qwen3 ASR request rejected: {e}") packet.request_error = e except Exception as e: - logger.error("Qwen3 ASR inference failed!", exc_info=True) + _log_inference_failure("Qwen3 ASR inference failed!", e) _mark_inference_error(packet, e) packet.segments = None @@ -299,7 +329,7 @@ async def infer_kokoro(packet: WorkerPacket, kokoro_model: Union[OV_Kokoro, Remo "total_samples": sum(len(chunk) for chunk in audio_chunks) if audio_chunks else 0 } except Exception as e: - logger.error("Kokoro inference failed!", exc_info=True) + _log_inference_failure("Kokoro inference failed!", e) _mark_inference_error(packet, e) return packet @@ -346,7 +376,7 @@ async def infer_qwen3_tts_stream(packet: WorkerPacket, tts_model: Union[OVQwen3T "duration_sec": len(wav) / sr if sr > 0 else 0, } except Exception as e: - logger.error("Qwen3 TTS inference failed!", exc_info=True) + _log_inference_failure("Qwen3 TTS inference failed!", e) _mark_inference_error(packet, e) return packet @@ -369,8 +399,8 @@ def _pcm(tchunk) -> bytes: try: async for tchunk in async_gen: await packet.stream_queue.put(_pcm(tchunk)) - except Exception: - logger.error("Qwen3 TTS streaming inference failed!", exc_info=True) + except Exception as e: + _log_inference_failure("Qwen3 TTS streaming inference failed!", e) finally: await packet.stream_queue.put(None) else: @@ -381,8 +411,8 @@ def _run_sync_generator() -> None: try: for tchunk in sync_gen: asyncio.run_coroutine_threadsafe(packet.stream_queue.put(_pcm(tchunk)), loop).result() - except Exception: - logger.error("Qwen3 TTS streaming inference failed!", exc_info=True) + except Exception as e: + _log_inference_failure("Qwen3 TTS streaming inference failed!", e) finally: asyncio.run_coroutine_threadsafe(packet.stream_queue.put(None), loop).result() @@ -408,7 +438,7 @@ async def infer_emb(packet: WorkerPacket, emb_instance: Optimum_EMB) -> WorkerPa packet.metrics = metrics except Exception as e: - logger.error("EMB inference failed!", exc_info=True) + _log_inference_failure("EMB inference failed!", e) _mark_inference_error(packet, e) if getattr(packet.gen_config, "stream", False): await _signal_stream_error(packet, e) @@ -432,7 +462,7 @@ async def infer_rerank(packet: WorkerPacket, rerank_instance: Optimum_RR) -> Wor packet.metrics = metrics except Exception as e: - logger.error("Reranking failed!", exc_info=True) + _log_inference_failure("Reranking failed!", e) _mark_inference_error(packet, e) if getattr(packet.gen_config, "stream", False): await _signal_stream_error(packet, e) @@ -892,6 +922,9 @@ async def stream_generate(self, model_name: str, gen_config: OVGenAI_GenConfig) try: q = self._get_model_queue(model_name) await q.put(packet) + # Set once the terminal error item has been handed to the consumer, so + # the trailing result_future block doesn't re-raise an already-surfaced error. + stream_error_surfaced = False while True: try: item = await stream_queue.get() @@ -906,13 +939,17 @@ async def stream_generate(self, model_name: str, gen_config: OVGenAI_GenConfig) if item is None: break if isinstance(item, dict) and item.get("error"): - raise RuntimeError(item["error"]) + # Surface the error to the consumer (yield, don't raise); the route + # owns the heal-vs-terminal decision via the item's will_respawn. + stream_error_surfaced = True + yield item + break yield item - if result_future.done(): + if not stream_error_surfaced and result_future.done(): exc = result_future.exception() if exc is not None: raise exc - else: + elif not stream_error_surfaced: await result_future finally: if not result_future.done(): diff --git a/tests/integration/test_openai_worker_restart_logging_integration.py b/tests/integration/test_openai_worker_restart_logging_integration.py new file mode 100644 index 00000000..108a77c8 --- /dev/null +++ b/tests/integration/test_openai_worker_restart_logging_integration.py @@ -0,0 +1,311 @@ +"""Assert the whole request/response chain logs the right thing when a worker +fails. A worker the supervisor is still respawning within its respawn budget +(``RemoteWorkerDeadError.will_respawn==True``) is a *healing* event, so its +in-flight request must log a single short, cause-only line -- never a full +traceback / "Unhandled exception" / uvicorn's "Exception in ASGI application". +The companion test makes the death terminal (``will_respawn==False``, budget +exhausted) and asserts the opposite: a full traceback, no short line. + +Drives a real streaming request through the real FastAPI app + the real +``/v1/chat/completions`` and ``/v1/completions`` routes via an injected model +that reports the death (heal vs terminal, chosen by a request marker on the real +``will_respawn`` flag). Run with: pytest -W ignore . +""" +from __future__ import annotations + +import asyncio +import json +import logging +from typing import Any, Mapping + +import httpx +import pytest # type: ignore[import] +from fastapi import FastAPI + +import src.server.deps as deps_module +import src.server.model_registry as model_registry_module +import src.server.routes.openai as openai_module # noqa: F401 (registers the routes) +import src.server.worker_registry as worker_module +from src.engine.worker.protocol import RemoteWorkerDeadError +from src.server.main import global_exception_handler +from src.server.model_registry import ModelRegistry +from src.server.schemas.registration import EngineType, ModelLoadConfig, ModelType +from src.server.routes.openai import router as openai_router + +# Prompt/message marker: one injected model serves both the heal and terminal +# cases (it sets will_respawn on the RemoteWorkerDeadError it raises). +HEAL_MARKER = "OPENARC_WORKER_HEAL" # supervisor still respawning +TERMINAL_MARKER = "OPENARC_WORKER_TERMINAL" # respawn budget exhausted + +# The loggers under test (filtering to these keeps unrelated logs out of the assertions). +SERVER_LOGGERS = ("src.server.worker_registry", "src.server.routes.openai", "src.server.main") + +# Marks that classify a log line as loud (terminal) vs quiet (healing). +FULL_TRACE_MARKERS = ("Unhandled exception", "Full traceback") +ROUTE_GRACEFUL_MARKERS = ("worker restart in progress", "ending stream for") +REGISTRY_HEAL_MARKERS = ( + "being restarted within its respawn budget", # _log_inference_failure (heal) + "restarting it within budget", # _commit_completed_packet (heal) +) + +# Each route differs only in the SSE object name + terminal choice shape (what the helper unifies). +CHAT_CASE = { + "id": "chat", + "path": "/v1/chat/completions", + "object": "chat.completion.chunk", + "choice": {"index": 0, "delta": {}, "finish_reason": "error"}, + "body": lambda model: { + "model": model, + "messages": [{"role": "user", "content": ""}], # marker filled in per case + "stream": True, + "max_tokens": 8, + }, +} +COMPLETIONS_CASE = { + "id": "completions", + "path": "/v1/completions", + "object": "text_completion.chunk", + "choice": {"index": 0, "text": "", "finish_reason": "error"}, + "body": lambda model: {"model": model, "prompt": "", "stream": True, "max_tokens": 8}, +} +STREAM_CASES = [CHAT_CASE, COMPLETIONS_CASE] + + +class _WedgeLLM: + """A model whose ``generate_type`` raises a ``RemoteWorkerDeadError`` for a + request carrying a marker, and serves genuine (tiny) output otherwise. + + Being a ``worker_module.OVGenAI_LLM`` (which the test monkeypatches to *this* + class) it routes through the very same ``infer_llm`` and ``stream_generate`` + path the production engine uses; the only test-controlled behaviour is the + will_respawn flag it stamps on the failure. + """ + + def __init__(self, load_config: Any) -> None: + self.load_config = load_config + + async def unload_model(self, registry: Any, model_name: str) -> bool: + return True + + async def generate_type(self, gen_config: Any): + text = gen_config.prompt or "" + for msg in gen_config.messages or []: + content = msg.get("content") if isinstance(msg, Mapping) else None + if isinstance(content, str): + text += " " + content + if TERMINAL_MARKER in text: + raise RemoteWorkerDeadError( + "OV device wedged (CL_OUT_OF_RESOURCES); respawn budget exhausted", + original_type="RuntimeError", + will_respawn=False, + ) + if HEAL_MARKER in text: + raise RemoteWorkerDeadError( + "OV device wedged (CL_OUT_OF_RESOURCES); supervisor respawning", + original_type="RuntimeError", + will_respawn=True, + ) + # Healthy path: a metrics dict, then one text token. + yield {"new_token": 2, "stream": False, "load_time (s)": 0.0} + yield "ok" + + +async def _fake_create_model_instance(load_config: Any) -> Any: + return _WedgeLLM(load_config) + + +def _load_config(model_name: str) -> ModelLoadConfig: + return ModelLoadConfig( + model_path="/does/not/need/to/exist", + model_name=model_name, + model_type=ModelType.LLM, + engine=EngineType.OV_GENAI, + device="CPU", + runtime_config={}, + ) + + +def _build_app() -> FastAPI: + """A minimal app that runs the real OpenAI routes with the real global ASGI + exception handler -- the same handler the production ``src.server.main`` + installs -- so an escaping exception is logged exactly as it would be in + production (short line vs full "Unhandled exception" + "Full traceback").""" + app = FastAPI() + app.add_exception_handler(Exception, global_exception_handler) + app.include_router(openai_router) + return app + + +async def _drive(monkeypatch, case: dict, model_name: str, marker: str) -> dict: + """Drive one streaming request through a fresh, real app. Returns the + outcome as plain values so the (non-async) test can assert, plus whatever + the response body held. A terminal failure re-raises out of the ASGI + transport (Starlette re-raises after the response started), so the raise is + captured here -- the logs, which is what the test actually asserts, have + already fired during the call.""" + model_registry = ModelRegistry() + worker_registry = worker_module.WorkerRegistry(model_registry) + monkeypatch.setattr(worker_module, "OVGenAI_LLM", _WedgeLLM, raising=False) + monkeypatch.setattr( + model_registry_module, + "create_model_instance", + _fake_create_model_instance, + raising=False, + ) + monkeypatch.setattr(openai_module, "_workers", worker_registry, raising=False) + monkeypatch.setattr(openai_module, "_registry", model_registry, raising=False) + # Auth is off by default; force it in case a developer's shell exports + # OPENARC_API_KEY_REQUIRED (the module global is otherwise frozen at import). + monkeypatch.setattr(deps_module, "AUTH_REQUIRED", False, raising=False) + + outcome: dict = {"raised": None, "status": None, "body": ""} + await model_registry.register_load(_load_config(model_name)) + await asyncio.sleep(0) # let the worker task start consuming the queue + try: + body = case["body"](model_name) + body = _inject_marker(body, marker) + transport = httpx.ASGITransport(app=_build_app()) + async with httpx.AsyncClient(transport=transport, base_url="http://test") as cli: + try: + resp = await cli.post(case["path"], json=body) + except Exception as exc: # mid-stream terminal failure re-raises + outcome["raised"] = repr(exc) + else: + outcome["status"] = resp.status_code + outcome["body"] = resp.text + finally: + # Stop the worker task so it does not outlive this event loop. + await model_registry.register_unload(model_name) + await asyncio.sleep(0) + return outcome + + +def _inject_marker(body: dict, marker: str) -> dict: + """Put the control marker into the request's prompt messages.""" + if "messages" in body: + body = dict(body) + messages = [dict(m, content=(str(m.get("content") or "") + f" {marker}").strip()) + for m in body["messages"]] + body["messages"] = messages + return body + if "prompt" in body: + body = dict(body, prompt=f"{marker} {body['prompt']}".strip()) + return body + + +def _server_logs(caplog: Any) -> list: + return [r for r in caplog.records if r.name in SERVER_LOGGERS] + + +def _logged_lines(caplog: Any) -> list: + return [r.getMessage() for r in _server_logs(caplog)] + + +def _has_full_trace(caplog: Any) -> bool: + """True when a full traceback was logged -- either an error record carrying + an ``exc_info`` traceback (the registry's ``_log_inference_failure`` / + ``_commit_completed_packet`` loud branch), or the global ASGI handler's own + ``Unhandled exception`` / ``Full traceback`` lines. This is the signal that + the exception was NOT kept on the quiet heal path.""" + if any(r.levelno >= logging.ERROR and r.exc_info for r in _server_logs(caplog)): + return True + return any(any(m in line for m in FULL_TRACE_MARKERS) for line in _logged_lines(caplog)) + + +def _has_route_graceful(caplog: Any) -> bool: + """True when the route took the graceful path and emitted the short line the + extracted ``_end_stream_on_worker_restart`` helper writes.""" + for r in caplog.records: + if r.name == "src.server.routes.openai": + line = r.getMessage() + if all(m in line for m in ROUTE_GRACEFUL_MARKERS): + return True + return False + + +def _has_registry_heal_line(caplog: Any) -> bool: + return any( + any(m in r.getMessage() for m in REGISTRY_HEAL_MARKERS) for r in _server_logs(caplog) + ) + + +def _sse_chunks(body: str) -> list: + """Parse an SSE body into its ``data:`` payloads: JSON dicts for the real + chunks and the literal ``"[DONE]"`` for the terminator.""" + chunks: list = [] + for segment in body.split("\n\n"): + segment = segment.strip() + if not segment: + continue + if not segment.startswith("data:"): + continue + payload = segment[len("data:"):].strip() + if payload == "[DONE]": + chunks.append("[DONE]") + else: + chunks.append(json.loads(payload)) + return chunks + + +# --------------------------------------------------------------------------- # +# Healing: a worker being respawned within its budget must stay quiet and the +# stream must close gracefully. Exercised with the extracted helper in BOTH +# stream routes. +# --------------------------------------------------------------------------- # +@pytest.mark.parametrize("case", STREAM_CASES, ids=lambda c: c["id"]) +def test_streamed_request_on_worker_respawn_is_quiet_and_graceful( + case: dict, monkeypatch: "pytest.MonkeyPatch", caplog: Any, +) -> None: + caplog.set_level(logging.INFO) + + outcome = asyncio.run( + _drive(monkeypatch, case, f"wedge-{case['id']}", HEAL_MARKER) + ) + + # The worker is merely being respawned: no full traceback anywhere. + assert not _has_full_trace(caplog), _logged_lines(caplog) + # ...and the quiet line proves it: the route ended the stream courteously + # (via _end_stream_on_worker_restart) instead of letting it escape. + assert _has_route_graceful(caplog), _logged_lines(caplog) + assert _has_registry_heal_line(caplog), _logged_lines(caplog) + + # The response actually closed cleanly: 200, the graceful terminal chunk, + # then [DONE] -- nothing raised to the ASGI handler. + assert outcome["raised"] is None, outcome + assert outcome["status"] == 200 + chunks = _sse_chunks(outcome["body"]) + assert "[DONE]" in chunks + terminal = [ + c for c in chunks + if isinstance(c, dict) + and c.get("object") == case["object"] + and c.get("choices") + and c["choices"][0].get("finish_reason") == "error" + ] + assert len(terminal) == 1, chunks + assert terminal[0]["choices"][0] == case["choice"], terminal[0]["choices"][0] + + +# --------------------------------------------------------------------------- # +# Terminal: the respawn budget is exhausted, so the full traceback SHOULD appear +# -- this is the behaviour the dedup must not accidentally silence. +# --------------------------------------------------------------------------- # +@pytest.mark.parametrize("case", STREAM_CASES, ids=lambda c: c["id"]) +def test_streamed_request_on_terminal_worker_failure_logs_full_traceback( + case: dict, monkeypatch: "pytest.MonkeyPatch", caplog: Any, +) -> None: + caplog.set_level(logging.INFO) + + outcome = asyncio.run( + _drive(monkeypatch, case, f"dead-{case['id']}", TERMINAL_MARKER) + ) + + # The failure is terminal: a full traceback is logged (loudness preserved). + assert _has_full_trace(caplog), _logged_lines(caplog) + # And it did NOT take the graceful path -- the extracted helper's short line + # must be absent, proving terminal failures are genuinely loud. + assert not _has_route_graceful(caplog), _logged_lines(caplog) + # A terminal streaming failure surfaces to the client as an error (either a + # 500 or a re-raised exception, depending on whether the stream had started), + # but never the graceful 200 from the heal path. + assert outcome["raised"] is not None or outcome["status"] != 200, outcome diff --git a/tests/integration/test_worker_send_unlimited_respawn_integration.py b/tests/integration/test_worker_send_unlimited_respawn_integration.py new file mode 100644 index 00000000..a9727526 --- /dev/null +++ b/tests/integration/test_worker_send_unlimited_respawn_integration.py @@ -0,0 +1,179 @@ +"""A worker that dies on a broken pipe under the *unlimited* respawn policy +(``worker_max_respawns=0``) must log *short*, never a full "respawn budget is +exhausted" / "Exception in ASGI application" traceback. + +That policy makes the supervisor's ``_will_respawn()`` unconditionally True +(``0 <= 0``: "the worker is always reloaded", so every death is a healing event), +yet ``WorkerSupervisor._send`` -- the one death site a request hits when the +pipe to a just-gone worker is already broken -- built its +``RemoteWorkerDeadError`` *without* ``will_respawn``, so it defaulted to a +terminal (loud) trace. This test reproduces it with a real ``WorkerSupervisor`` +under ``worker_max_respawns=0`` and a broken pipe, then drives the *real* +``_commit_completed_packet`` and asserts the short healing line, no full traceback. + +Run with: pytest -W ignore . +""" +from __future__ import annotations + +import asyncio +import logging +from typing import Any, List, Optional + +import pytest # type: ignore[import] + +from src.engine.worker import protocol as proto +from src.engine.worker.supervisor import WorkerSupervisor +from src.server.worker_registry import WorkerPacket, _commit_completed_packet +from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig + +MODEL_NAME = "wedge-llm" +WORKER_LOGGER = "src.server.worker_registry" + +# The one cause-only healing line vs the loud terminal / ASGI-escape markers that must NOT appear. +HEAL_MARKERS = ( + "restarting it within budget", +) +LOUD_MARKERS = ( + "respawn budget is exhausted", + "Full traceback", + "Unhandled exception", + "Exception in ASGI application", +) + + +class _BrokenStdin: + """A stdin pipe whose ``write`` fails -- exactly what a write to a worker + that has died (before the supervisor's reader loop noticed the exit) does.""" + + def write(self, data: bytes) -> None: + raise BrokenPipeError("the inference worker process is gone; the pipe is broken") + + def close(self) -> None: + pass + + async def drain(self) -> None: # reached only on a successful write + pass + + +class _FakeProc: + """A stand-in for the worker subprocess handle: still-looking-alive + (``returncode is None``) so ``_send``'s first guard passes and it *attempts* + the write, which then hits the broken pipe and raises the ``cannot write to + worker process`` ``RemoteWorkerDeadError`` we are testing.""" + + returncode: Optional[int] = None + + def __init__(self) -> None: + self.pid = 4242 + self.stdin = _BrokenStdin() + self.stdout = None + self.stderr = None + + async def wait(self) -> int: + return self.returncode or -1 + + +class _RecordingRegistry: + """A minimal ModelRegistry stand-in: _commit_completed_packet only touches a + registry via ``register_unload(model_name)`` (in the *terminal* branch it + does NOT take -- a dead worker is left to the supervisor, per the registry's + own comment), so recording those calls lets us assert the model was neither + unloaded nor quarantined for a healing in-budget death.""" + + def __init__(self) -> None: + self.unloaded: List[str] = [] + + async def register_unload(self, model_name: str, *args: Any, **kwargs: Any) -> bool: + self.unloaded.append(model_name) + return True + + +def _unlimited_supervisor_with_broken_pipe(model_name: str) -> WorkerSupervisor: + """A real ``WorkerSupervisor`` under the unlimited respawncap, whose proc's + stdin pipe is already broken and whose state is READY (so ``begin_run`` would + have proceeded to ``_send`` -- the in-flight-request path the operator hit).""" + sup = WorkerSupervisor(model_name, max_respawns=0) + sup._state = sup.STATE_READY + sup._proc = _FakeProc() + return sup + + +def _server_logs(caplog: Any) -> list: + return [r for r in caplog.records if r.name == WORKER_LOGGER] + + +def test_worker_send_to_dead_worker_under_unlimited_budget_logs_quietly( + monkeypatch: "pytest.MonkeyPatch", caplog: Any, +) -> None: + caplog.set_level(logging.DEBUG) + + # The policy under test: worker_max_respawns == 0 = "no limit, always + # reload", for which the supervisor's _will_respawn() is unconditionally + # True. Proven at the source so the test's premise is self-documenting. + async def _run() -> dict: + sup = _unlimited_supervisor_with_broken_pipe(MODEL_NAME) + assert sup._max_respawns == 0 + assert sup._will_respawn() is True # unlimited -> every death is a heal + + # The dead worker's broken pipe: _send is the real, now-fixed death site. + err: Optional[BaseException] = None + try: + await sup._send(proto.encode("request", req_id="r", request_id=None, gen_config="{}")) + except proto.RemoteWorkerDeadError as e: + err = e + + # The fix's direct effect: _send carries the heal flag it now consults. + assert isinstance(err, proto.RemoteWorkerDeadError), ( + f"_send on a broken pipe should raise RemoteWorkerDeadError, not {err!r}" + ) + assert "cannot write to worker process" in str(err), str(err) + assert err.will_respawn is True, ( + "under the unlimited (worker_max_respawns=0) policy a dead worker is " + "being reloaded within budget, so _send must carry will_respawn=True; " + "a False here is the regression that made every such death fall " + "through to a full 'respawn budget is exhausted' trace" + ) + + # And the observable the operator actually sees: feed that exact error + # through the registry's real completion/decision path and assert the log + # comes out as the single short healing line -- not the loud terminal one. + packet = WorkerPacket( + request_id="r", + id_model=MODEL_NAME, + gen_config=OVGenAI_GenConfig(), + stream_queue=None, + result_future=None, # no result to complete for this probe + ) + packet.error = err + reg = _RecordingRegistry() + should_exit = _commit_completed_packet(packet, packet, MODEL_NAME, reg) + await asyncio.sleep(0) # let any (should-be-absent) register_unload task run + return { + "should_exit": should_exit, + "unloaded": reg.unloaded, + } + + result = asyncio.run(_run()) + + server_lines = _server_logs(caplog) + + # The healing line is present ... + join = "\n".join(r.getMessage() for r in server_lines) + assert any(any(m in r.getMessage() for m in HEAL_MARKERS) for r in server_lines), ( + f"expected the short healing line for a within-budget respawn; got: {server_lines}" + ) + # ... and no loud / full-trace marker anywhere in the server log. + assert not any(m in join for m in LOUD_MARKERS), ( + f"a healing (within-budget) respawn must not log a full trace; found a loud " + f"marker: {server_lines}" + ) + assert not any(r.exc_info for r in server_lines), ( + f"a healing (within-budget) respawn must not attach a traceback; got: " + f"{[r.getMessage() for r in server_lines if r.exc_info]}" + ) + # ... a dead worker is left to the supervisor, so the registry neither + # unloads it nor signals the worker should exit. + assert result["should_exit"] is False + assert result["unloaded"] == [] + print(f"[{MODEL_NAME}] heal log: {server_lines[0].getMessage()}") + diff --git a/tests/unit/test_worker_registry_unit.py b/tests/unit/test_worker_registry_unit.py index 6333a666..3cf3a90d 100644 --- a/tests/unit/test_worker_registry_unit.py +++ b/tests/unit/test_worker_registry_unit.py @@ -372,7 +372,10 @@ async def generate_type(self, gen_config): assert result.error is not None assert result.response is None first = asyncio.run(packet.stream_queue.get()) - assert first == {"error": "decode failed"} + # `_signal_stream_error` now carries the heal-vs-terminal decision as + # ``will_respawn`` on the item (here False) so the route can end the stream + # gracefully; a genuine failure is still logged in full. + assert first == {"error": "decode failed", "will_respawn": False} assert asyncio.run(packet.stream_queue.get()) is None From 3ae4015161ffdefa825086e5f635ebb20e834bbc Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Thu, 1 Oct 2026 22:01:55 +0200 Subject: [PATCH 11/16] [#178] Give each inference worker its own log file, kept out of the main log The worker's full logging -- a load/inference failure's traceback, and any OpenVINO/OpenCL C-level stderr -- now goes to its own file next to the main log, named after it with -worker- spliced in before the .log (openarc.log -> openarc-worker-.log): * WorkerSupervisor._worker_log_file() derives that path from OPENARC_LOG_FILE (+ the per-model name, used verbatim -- only /, \ and NUL reduced to - so the file cannot leave the log directory) and passes it to the child as OPENARC_WORKER_LOG_FILE; launch_server publishes the resolved main-log path to that env var at startup, so the path is known even when the shell never set OPENARC_LOG_FILE. * The worker redirects its logging + native stderr onto that file at startup (_redirect_stderr_to, via fd-level dup2). * Only the worker writes to its own file -- never the server or superclass -- and the supervisor's stderr pump no longer forwards the worker's output into the main log, so the main log keeps just the lifecycle lines. * The traceback demotion from the prior spawn-logging commit is undone: the worker logs the FULL trace at ERROR again; it now lands in its own file instead of flooding the main log. --- docs/worker-processes.md | 37 +++- src/cli/modules/launch_server.py | 6 + src/engine/worker/protocol.py | 4 +- src/engine/worker/supervisor.py | 63 +++++- src/engine/worker/worker_process.py | 115 +++++++---- tests/unit/test_worker_log_file_unit.py | 246 ++++++++++++++++++++++++ 6 files changed, 430 insertions(+), 41 deletions(-) create mode 100644 tests/unit/test_worker_log_file_unit.py diff --git a/docs/worker-processes.md b/docs/worker-processes.md index 7bc130fe..1c48b927 100644 --- a/docs/worker-processes.md +++ b/docs/worker-processes.md @@ -77,12 +77,42 @@ in the server, so the public response shapes are unchanged. ## What you will see in `openarc.log` +The worker's own logging is **no longer here** — it goes to the worker's own +file (below). This file carries only the **supervisor's** view of the worker's +lifecycle: + - `spawning inference worker: ...`, then `inference worker started (pid=...)` when the process is up (once per start/respawn), then `model loaded (pid=...)` when its model has loaded -- the worker's own stdout of OpenVINO/OpenCL (forwarded from its stderr), - prefixed with `[ pid=...]` - `inference worker exited unexpectedly (code=...)` + `respawning inference worker (n/)` on recovery — or `respawning inference worker (respawn #n; no restart limit)` when `worker_max_respawns` is `0`/negative (no limit) - `respawn budget exhausted; worker is dead` + the resulting unload — only when `worker_max_respawns` is a positive number; with `0`/negative it never fires +## What you will see in the worker's own log file + +Each worker's **full** logging goes to a file beside the main log, named after +it with `-worker-` spliced in before the `.log` — so `openarc.log` +becomes `openarc-worker-.log` (in the same directory; the model name is +used verbatim, only path separators reduced to `-`). Its location follows the +main log: set `OPENARC_LOG_FILE=/some/dir/openarc.log` and the worker file is +`/some/dir/openarc-worker-.log`; with it unset, the log defaults to the +project-root `openarc.log`. The supervisor hands each worker its model name in +`OPENARC_WORKER_MODEL` and its log-file path in the per-model +`OPENARC_WORKER_LOGFILE_` (dashes in the model name become underscores in +both), so the worker reads its own key exactly -- a sibling model's key in the +server's environment can't be mistaken for its own; a value already set there +pins a worker's file instead, which the tests use to keep it in a temp dir. + +**Only the worker writes to this file** — never the server, never the supervisor +— so it holds the worker's side alone and the main log keeps only the +supervisor's. It carries the full log at the worker's normal verbosity: the +pipeline build/load, every OpenVINO/OpenCL diagnostic (written straight to the +process's stderr, which the worker redirects into this file at startup rather +than onto the pipe, which the supervisor only drains, forwarding nothing), and +the full traceback of any load or inference failure. That is the point: the +per-request tracebacks that would previously flood `openarc.log` (once per +concurrent in-flight request, for a worker that is only restarting within its +respawn budget) now land here instead, leaving `openarc.log` quiet. Workers +append across respawns, so a file holds the full history of every episode of a +model's life; rotate it the same way you already rotate `openarc.log`. + ## Operator knobs | environment variable | effect | @@ -90,6 +120,9 @@ in the server, so the public response shapes are unchanged. | `OPENARC_OVGENAI_WORKER=0` | master switch: disable worker processes for all OpenVINO GenAI models (VLM/LLM/Whisper) and restore the historical in-process behaviour | | `OPENARC_VLM_WORKER=0` | additionally disable the worker process for VLMs only (stage-1 escape hatch) | | `OPENARC_OPENVINO_WORKER=0` | master switch: disable worker processes for the plain-openvino engines (Kokoro, Qwen3-ASR, Qwen3-TTS) and restore the historical in-process behaviour | +| `OPENARC_LOG_FILE` | set the main log file; each worker's own log then lands beside it, named `-worker-.log` | +| `OPENARC_WORKER_MODEL` | not an operator knob: the supervisor always sets it to the model name, so the child can name its own log-file key exactly | +| `OPENARC_WORKER_LOGFILE_` | pin one worker's own file instead (model name with `-` written as `_`); it is the value the child reads, and an already-set value wins over the derived path | The respawn budget has config-file support: `worker_max_respawns` in the model config, set via `openarc add --worker-max-respawns` (positive `N` = the number diff --git a/src/cli/modules/launch_server.py b/src/cli/modules/launch_server.py index 23d3be3e..fb35bbef 100644 --- a/src/cli/modules/launch_server.py +++ b/src/cli/modules/launch_server.py @@ -8,6 +8,12 @@ # Setting this to /dev/null effectively disables file logging if desired. default_log_file = Path(__file__).parent.parent.parent.parent / "openarc.log" log_file = Path(os.getenv("OPENARC_LOG_FILE", default_log_file)) +# Publish the resolved main-log path back to the environment so the worker +# supervisors (spawned later, deep in the registry) can derive each worker's own +# per-model log file beside it -- "-worker-.log" in the same +# directory. Without this, a shell that never set OPENARC_LOG_FILE would leave +# the supervisor unable to place the worker log file next to the main log. +os.environ["OPENARC_LOG_FILE"] = str(log_file) def _level_from_verbose(verbose: int) -> str: # our own code (src.* and OpenArc loggers) diff --git a/src/engine/worker/protocol.py b/src/engine/worker/protocol.py index e575337f..f086e2c4 100644 --- a/src/engine/worker/protocol.py +++ b/src/engine/worker/protocol.py @@ -11,7 +11,9 @@ stdout is reserved for protocol traffic; everything the worker would like to say that is not protocol (logging, OpenVINO/OpenCL diagnostics, Python -tracebacks) must go to stderr, where the parent forwards it to openarc.log. +tracebacks) goes to the worker's OWN log file -- the supervisor hands it the +path, and the worker redirects its stderr into that file -- so no child output +is ever forwarded into openarc.log. Why a process boundary at all: openvino_genai pipelines share a process-wide singleton ``ov::Core``. When the GPU plugin wedges diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py index 191b74bd..b15634c1 100644 --- a/src/engine/worker/supervisor.py +++ b/src/engine/worker/supervisor.py @@ -5,7 +5,9 @@ * spawn the child (``src.engine.worker.worker_process``) with the same interpreter, sys.path and working directory the parent runs with, * speak the line protocol on the child's stdin/stdout, - * forward the child's stderr to the openarc log (OpenVINO/OpenCL output), + * hand each worker its own log file over the environment, so the worker itself + writes its logging and native (C-level) stderr there -- nothing of its output + reaches the openarc log, * watch the process: PING watchdog, death detection, and -- when the child dies while serving -- respawn a fresh process and re-run the same load, within a per-load budget (a fresh process gets a fresh, unpoisoned @@ -42,6 +44,17 @@ EOF = object() +def _sanitize_for_filename(name: str) -> str: + """Make a model name safe as a file-name fragment: the worker's log-file + name is derived from the model name verbatim (per the + "-worker-.log" rule), but a path separator in it would let the + file escape the log directory, so reduce "/", "\\", and NUL to "-". + """ + for separator in ("/", "\\", "\x00", os.sep): + name = name.replace(separator, "-") + return name + + class _PendingRequest: """Supervisor side of one GENERATE: item queue + result future.""" @@ -178,6 +191,33 @@ def _build_command(self) -> list: f"import sys; from {self.WORKER_ENTRY} import main; sys.exit(main())", ] + def _worker_logfile_env(self) -> str: + """The env key the supervisor hands the worker its log file in: + OPENARC_WORKER_LOGFILE_, the dash rewritten to an underscore (an + env-var name rule) so one key names one worker. The worker rebuilds the + SAME key from OPENARC_WORKER_MODEL (see worker_process), so the two must + match.""" + return f"OPENARC_WORKER_LOGFILE_{self._model_name.replace('-', '_')}" + + def _worker_log_file(self) -> Optional[str]: + """The worker's own log file -- the value handed over via + _worker_logfile_env. A value already set in that env key wins (honoured + as is, the override); else derive it from OPENARC_LOG_FILE by splicing + "-worker-" into the base name before ".log" (beside the main log, + path separators reduced to "-" so the name can't escape its directory). + None when no main-log location is known.""" + preset = os.environ.get(self._worker_logfile_env(), "").strip() + if preset: + return preset + main_log = os.environ.get("OPENARC_LOG_FILE", "").strip() + if not main_log: + return None + directory, name = os.path.split(main_log) + base, _ext = os.path.splitext(name) + return os.path.join( + directory, f"{base}-worker-{_sanitize_for_filename(self._model_name)}.log" + ) + def _build_env(self) -> Dict[str, str]: env = dict(os.environ) # The child must import exactly the code the parent is running, @@ -193,6 +233,17 @@ def _build_env(self) -> Dict[str, str]: # per-model worker_line_limit travels in the environment, not the # protocol. env["OPENARC_WORKER_LINE_LIMIT"] = str(self._line_limit) + # The model name is always passed (the worker's own identity, and we need + # it for other worker-side things soon too): the worker learns it at + # startup, before the LOAD message names it, and uses it to read its OWN + # log-file env var exactly. + env["OPENARC_WORKER_MODEL"] = self._model_name + # Also hand the worker its own log file as a per-model env var (a path, + # value ending in .log); the worker logs all its output there. The + # supervisor opens no file and forwards nothing; a pre-set value wins. + worker_log_file = self._worker_log_file() + if worker_log_file is not None: + env[self._worker_logfile_env()] = worker_log_file return env async def _spawn(self) -> None: @@ -452,13 +503,17 @@ async def _read_loop(self) -> None: self._on_process_exited(proc.returncode) async def _stderr_pump(self) -> None: + # This reads the WORKER child's stderr (the pipe opened at _spawn), never + # our own: the supervisor/server's own log reaches openarc.log via the + # separate launch_server dictConfig, independent of this pipe. The worker + # now puts all of its output in its own file, so this pipe is empty -- we + # just drain it to EOF (so the worker can't stall on a full pipe, and the + # unload's pipe wait can finish) and forward nothing. proc = self._proc assert proc is not None and proc.stderr is not None try: async for line in self._read_lines(proc.stderr): - text = line.decode("utf-8", errors="replace").rstrip() - if text: - logger.info(f"[{self._model_name} pid={proc.pid}] {text}") + pass except asyncio.CancelledError: raise except Exception: diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py index 647aa4b0..2825a0a2 100644 --- a/src/engine/worker/worker_process.py +++ b/src/engine/worker/worker_process.py @@ -4,8 +4,12 @@ One of these runs per loaded model. It owns the OpenVINO / openvino.genai pipeline for that model -- the main server process never builds one. Communication with the supervisor is one JSON object per line over stdin -(commands) / stdout (responses); all logging and OpenVINO/OpenCL diagnostics -go to stderr, which the supervisor forwards to the openarc log. +(commands) / stdout (responses). The worker's full logging -- and any +OpenVINO/OpenCL diagnostics written straight to its process's stderr -- is +redirected at startup into the log file the supervisor hands over (beside the +main openarc.log, named openarc-worker-.log). The worker never writes to +the supervisor's pipe; with no file handed over (a caller that bypassed the +supervisor's spawn env) it just logs to its own stderr and nothing is forwarded. Exit codes: 0 = clean unload / parent gone; 1 = fatal (MSG_FATAL was sent) or unhandled crash. The supervisor treats every non-clean exit as "the @@ -65,17 +69,76 @@ def _make_model(load_config: ModelLoadConfig) -> Any: return OVGenAI_Whisper(load_config) -def _configure_logging() -> None: - """Point the root logger at stderr; stdout is the protocol channel.""" - handler = logging.StreamHandler(sys.stderr) - handler.setFormatter( - logging.Formatter( - "%(asctime)s %(levelname)s [worker pid=%(process)d] %(name)s: %(message)s" - ) +_WORKER_LOG_FORMAT = ( + "%(asctime)s %(levelname)s [worker pid=%(process)d] %(name)s: %(message)s" +) + + +# The supervisor hands each worker its own log file in a per-model env var named +# OPENARC_WORKER_LOGFILE_ (dashes -> underscores). We know our model name +# from OPENARC_WORKER_MODEL (handed over at spawn), so we look up our OWN key that +# way -- no prefix scan -- so a sibling model's key inherited from the server's +# environment can't be mistaken for ours. +_WORKER_MODEL_ENV = "OPENARC_WORKER_MODEL" +_WORKER_LOGFILE_ENV_PREFIX = "OPENARC_WORKER_LOGFILE_" + + +def _worker_logfile_from_env(model_name: str) -> Optional[str]: + """The log file the supervisor handed us: our per-model key + OPENARC_WORKER_LOGFILE_ (dash -> underscore; it matches the + supervisor's _worker_logfile_env because both splice the same model name), + or None if it handed none -- then we log to our own stderr and the supervisor + forwards nothing. + """ + if not model_name: + return None + key = _WORKER_LOGFILE_ENV_PREFIX + model_name.replace("-", "_") + value = os.environ.get(key, "").strip() + return value or None + + +def _redirect_stderr_to(path: str) -> None: + """Redirect fd 2 -- catching output that native C libraries (OpenVINO/ + OpenCL) write straight to the descriptor, bypassing Python logging -- to + *path*, appending. The destination is a bare fd (so it is not GC-closed + twice) re-targeted onto fd 2 with dup2, which also closes the inherited + pipe's write end; sys.stderr is then rebuilt on a private dup of it + (closefd=False) so the StreamHandler keeps writing to the file.""" + directory = os.path.dirname(path) + if directory: + os.makedirs(directory, exist_ok=True) + old = sys.stderr + target_fd = os.open(path, os.O_WRONLY | os.O_CREAT | os.O_APPEND, 0o644) + os.dup2(target_fd, 2) + os.close(target_fd) + sys.stderr = os.fdopen( + 2, "a", encoding="utf-8", errors="replace", buffering=1, closefd=False ) + if old is not sys.stderr: + # The inherited pipe's write end was already closed by the dup2 above; + # this merely silences a "close of a gone fd" when `old` is later GC'd. + try: + old.close() + except Exception: + pass + + +def _configure_logging() -> None: + """Send all of our logging -- plus native C-level stderr -- into the log + file the supervisor handed over, keyed on our model name (which we know from + OPENARC_WORKER_MODEL), so our output never reaches the main log. With no file + handed over we just log to our own stderr and nothing is forwarded anywhere. + """ root = logging.getLogger() root.setLevel(logging.INFO) root.handlers.clear() + + log_file = _worker_logfile_from_env(os.environ.get(_WORKER_MODEL_ENV, "").strip()) + if log_file is not None: + _redirect_stderr_to(log_file) + + handler = logging.StreamHandler(sys.stderr) + handler.setFormatter(logging.Formatter(_WORKER_LOG_FORMAT)) root.addHandler(handler) @@ -210,7 +273,9 @@ class _Worker: def __init__(self) -> None: self.model: Any = None - self.model_name = "" + # Our model name, known from startup: the supervisor passes it in + # OPENARC_WORKER_MODEL; _do_load sets it again from the LOAD config. + self.model_name = os.environ.get(_WORKER_MODEL_ENV, "") self.model_type: Optional[ModelType] = None self._active_gen: Optional[asyncio.Task] = None self._active_request_id: Optional[str] = None @@ -311,15 +376,9 @@ async def _do_load(self, msg: Dict[str, Any]) -> None: logger.info(f"[{load_config.model_name}] pipeline ready") await self.send(proto.encode_response(proto.MSG_LOAD_OK, req_id=msg["req_id"])) except Exception as e: - # ERROR logs the message only; the full traceback goes to DEBUG, - # suppressed at the worker's default INFO (the supervisor forwards - # the worker's log, so a per-call trace would flood the openarc log). - logger.error(f"[{self.model_name or 'load'}] pipeline load failed: {e}") - logger.debug( - f"[{self.model_name or 'load'}] pipeline load failed ({type(e).__name__}); " - "full traceback follows", - exc_info=True, - ) + # The full trace (with the exception message) is logged at ERROR to + # the worker's own log file; nothing of it reaches the main log. + logger.error(f"[{self.model_name or 'load'}] pipeline load failed", exc_info=True) if proto.is_non_recoverable_error(e): # The device is wedged: this process's ov::Core is poisoned # and no in-process retry can fix it -- take the process down @@ -384,21 +443,9 @@ async def _report_run_error(self, e: BaseException, req_id: str, method_name: st """The shared error ladder for failed runs (reused by protocol variants): recoverable -> MSG_ERROR (worker stays up); non-recoverable (wedged device / native failure) -> MSG_FATAL + exit so the supervisor - respawns a clean process. - - ERROR logs the message only (what the openarc log always shows); the - full traceback goes to DEBUG, suppressed at the worker's default INFO - but surfaced if an operator lowers the level -- the supervisor forwards - the worker's stderr line-by-line, so a full trace would flood the log.""" - recoverable = not proto.is_non_recoverable_error(e) - logger.error(f"[{self.model_name}] {method_name} failed: {e}") - logger.debug( - f"[{self.model_name}] {method_name} raised {type(e).__name__}: " - + ("recoverable (worker stays up)" if recoverable - else "non-recoverable (worker will exit for a respawn)"), - exc_info=True, - ) - if not recoverable: + respawns a clean process.""" + logger.error(f"[{self.model_name}] {method_name} failed", exc_info=True) + if proto.is_non_recoverable_error(e): try: await self.send( proto.encode_response(proto.MSG_FATAL, error=proto.serialize_error(e)) diff --git a/tests/unit/test_worker_log_file_unit.py b/tests/unit/test_worker_log_file_unit.py new file mode 100644 index 00000000..954b95fd --- /dev/null +++ b/tests/unit/test_worker_log_file_unit.py @@ -0,0 +1,246 @@ +"""The worker's OWN log file. + +Each worker's full logging (and any native C-level stderr) is redirected, at +startup in the worker, into a file beside the main log -- named after +`.log` with `-worker-` spliced in before the `.log`, so +`openarc.log` becomes `openarc-worker-.log` in the same directory. The +supervisor hands that path to each worker in a per-model env var -- +OPENARC_WORKER_LOGFILE_, the dash in the model name written as an +underscore, one key per worker; a value already set there pins the file instead. +The worker also gets its model name, always, in OPENARC_WORKER_MODEL, so at +startup it looks up its OWN key exactly (not by a prefix scan, which a sibling +model's inherited key could fool); `_configure_logging` then redirects into it. +Only the worker ever writes to the file: the supervisor opens no file and merely +drains the pipe (forwarding nothing), so `openarc.log` keeps only the supervisor's +view of the worker. + +These are the deterministic, subprocess-free halves: the filename derivation, +the env plumbing (the supervisor's _build_env passes the model name and the +per-model file key; the worker's _worker_logfile_from_env reads the latter by +exact name), and the pump now simply draining the quiet pipe. The real redirect + +a real worker writing to the file (and openarc.log staying clean of it) is +exercised end to end by tests/integration/test_worker_respawn_integration.py. + +Run with: pytest -W ignore tests/unit/test_worker_log_file_unit.py +""" + +from __future__ import annotations + +import asyncio +import logging +import os +from pathlib import Path +from typing import List, Optional + +import pytest # type: ignore[import] + +from src.engine.worker.supervisor import WorkerSupervisor, _sanitize_for_filename +from src.engine.worker.worker_process import _worker_logfile_from_env + + +# -- _sanitize_for_filename: a model name is used verbatim, but must never escape +# its directory (a path separator would create a subdirectory of the log dir) + +def test_sanitize_keeps_dots_and_dashes() -> None: + # Dots and dashes in a model name (e.g. "Qwen3.8.5", "Qwen3.8-1.8b") survive + # unchanged -- the name is spliced in verbatim, per the naming rule. + assert _sanitize_for_filename("Qwen3.8.5") == "Qwen3.8.5" + assert _sanitize_for_filename("Qwen3.8-1.8b") == "Qwen3.8-1.8b" + + +def test_sanitize_neutralises_path_separators() -> None: + # But "/" and "\" would let the file leave the log directory, so reduce them + # to "-"; NUL is neutralised too. + assert _sanitize_for_filename("a/b") == "a-b" + assert _sanitize_for_filename("a\\b") == "a-b" + assert _sanitize_for_filename("a\x00b") == "a-b" + + +# -- _worker_log_file: the value handed over in OPENARC_WORKER_LOGFILE_ -- +# a value already set there wins (the override); else derive +# -worker-.log beside OPENARC_LOG_FILE. The env KEY still keeps +# the model name with "-" -> "_", but the file name keeps it verbatim. + +def test_worker_log_file_beside_main_log(monkeypatch: "pytest.MonkeyPatch") -> None: + # No directory component: the file is "-worker-.log" next to the + # main ".log" (in the same -- here, the current -- directory). + monkeypatch.setenv("OPENARC_LOG_FILE", "openarc.log") + monkeypatch.delenv("OPENARC_WORKER_LOGFILE_Qwen3.8.5", raising=False) + sup = WorkerSupervisor("Qwen3.8.5") + assert sup._worker_log_file() == "openarc-worker-Qwen3.8.5.log" + + +def test_worker_log_file_keeps_the_main_log_directory( + monkeypatch: "pytest.MonkeyPatch", +) -> None: + # A directory component is (re)attached around the model-part splice, so the + # worker file lands in the SAME directory as the main log. + monkeypatch.setenv("OPENARC_LOG_FILE", "/var/log/openarc.log") + monkeypatch.delenv("OPENARC_WORKER_LOGFILE_mymodel", raising=False) + sup = WorkerSupervisor("mymodel") + assert sup._worker_log_file() == "/var/log/openarc-worker-mymodel.log" + + +def test_worker_log_file_is_per_model(monkeypatch: "pytest.MonkeyPatch") -> None: + # Distinct models get distinct files: each model owns a process and a log. + monkeypatch.setenv("OPENARC_LOG_FILE", "/var/log/openarc.log") + monkeypatch.delenv("OPENARC_WORKER_LOGFILE_alpha", raising=False) + monkeypatch.delenv("OPENARC_WORKER_LOGFILE_beta", raising=False) + a = WorkerSupervisor("alpha")._worker_log_file() + b = WorkerSupervisor("beta")._worker_log_file() + assert a == "/var/log/openarc-worker-alpha.log" + assert b == "/var/log/openarc-worker-beta.log" + assert a != b + + +def test_worker_log_file_honours_pre_set_override( + monkeypatch: "pytest.MonkeyPatch", +) -> None: + # A value already set in the per-model key wins over the derived path. The + # model name has a dash, so the KEY (and thus the pre-set var) uses the dash + # swapped for an underscore -- the mapping the supervisor keys on. + monkeypatch.setenv("OPENARC_LOG_FILE", "/var/log/openarc.log") + monkeypatch.setenv( + "OPENARC_WORKER_LOGFILE_my_model", "/tmp/anything/openarc-worker-x.log" + ) + sup = WorkerSupervisor("my-model") + assert sup._worker_log_file() == "/tmp/anything/openarc-worker-x.log" + + +def test_worker_log_file_none_without_main_log( + monkeypatch: "pytest.MonkeyPatch", +) -> None: + # No main-log location and no pre-set value: return None, and the spawn env + # carries no worker-log key (there is now nothing to hand over). + monkeypatch.delenv("OPENARC_LOG_FILE", raising=False) + monkeypatch.delenv("OPENARC_WORKER_LOGFILE_mymodel", raising=False) + sup = WorkerSupervisor("mymodel") + assert sup._worker_log_file() is None + + +# -- _build_env: passes the model name, and the per-model log-file key --------- + +def test_build_env_passes_worker_log_file( + monkeypatch: "pytest.MonkeyPatch", tmp_path: Path +) -> None: + monkeypatch.setenv("OPENARC_LOG_FILE", str(tmp_path / "openarc.log")) + monkeypatch.delenv("OPENARC_WORKER_LOGFILE_mymodel", raising=False) + sup = WorkerSupervisor("mymodel") + env = sup._build_env() + # The model name is always passed (the worker's own identity) ... + assert env["OPENARC_WORKER_MODEL"] == "mymodel" + # ... and the derived file is handed to the child under the per-model key. + assert env["OPENARC_WORKER_LOGFILE_mymodel"] == str( + tmp_path / "openarc-worker-mymodel.log" + ) + + +def test_build_env_passes_pre_set_override( + monkeypatch: "pytest.MonkeyPatch", tmp_path: Path +) -> None: + # A pre-set value -- in the per-model key (dash -> underscore) -- is copied + # through to the child, not recomputed from OPENARC_LOG_FILE. + monkeypatch.setenv("OPENARC_LOG_FILE", str(tmp_path / "openarc.log")) + monkeypatch.setenv( + "OPENARC_WORKER_LOGFILE_my_model", "/tmp/anything/openarc-worker-x.log" + ) + sup = WorkerSupervisor("my-model") + env = sup._build_env() + assert env["OPENARC_WORKER_MODEL"] == "my-model" + assert env["OPENARC_WORKER_LOGFILE_my_model"] == ( + "/tmp/anything/openarc-worker-x.log" + ) + + +def test_build_env_omits_worker_log_file_without_main_log( + monkeypatch: "pytest.MonkeyPatch", +) -> None: + # No main log and no pre-set value: the env carries no worker-log key ... + monkeypatch.delenv("OPENARC_LOG_FILE", raising=False) + monkeypatch.delenv("OPENARC_WORKER_LOGFILE_mymodel", raising=False) + sup = WorkerSupervisor("mymodel") + env = sup._build_env() + assert "OPENARC_WORKER_LOGFILE_mymodel" not in env + # ... but the model name is still passed (the worker always knows who it is). + assert env["OPENARC_WORKER_MODEL"] == "mymodel" + + +# -- worker side: the worker reads its OWN log-file key by exact name ---------- +# (it knows its model name from OPENARC_WORKER_MODEL at startup, so a sibling +# model's key inherited from the server's environment can't be mistaken for it) + +def test_worker_reads_exact_key_for_its_model( + monkeypatch: "pytest.MonkeyPatch", tmp_path: Path +) -> None: + # Two models, two keys (as a multi-model server would pin): the worker, told + # its name, reads ONLY its own key. + monkeypatch.setenv("OPENARC_WORKER_LOGFILE_mymodel", str(tmp_path / "mine.log")) + monkeypatch.setenv( + "OPENARC_WORKER_LOGFILE_othermodel", str(tmp_path / "other.log") + ) + assert _worker_logfile_from_env("mymodel") == str(tmp_path / "mine.log") + + +def test_worker_logfile_key_rewrites_dash( + monkeypatch: "pytest.MonkeyPatch", tmp_path: Path +) -> None: + # The dash becomes an underscore in the key (matching the supervisor), so a + # hyphenated model name still resolves to its own key. + monkeypatch.setenv("OPENARC_WORKER_LOGFILE_my_model", str(tmp_path / "x.log")) + assert _worker_logfile_from_env("my-model") == str(tmp_path / "x.log") + + +def test_worker_no_file_when_none_handed(monkeypatch: "pytest.MonkeyPatch") -> None: + # We know our name, but the supervisor handed it no file -> None (so we log + # to our own stderr and the supervisor forwards nothing). + for k in list(os.environ): + if k.startswith("OPENARC_WORKER_LOGFILE_"): + monkeypatch.delenv(k, raising=False) + assert _worker_logfile_from_env("mymodel") is None + # ... and with no name at all there is nothing to key on, so the helper stays + # safe without one (the supervisor supplies a name, but this must not raise). + assert _worker_logfile_from_env("") is None + + +# -- _stderr_pump: it only drains the pipe; it never forwards into the main log -- + +class _FakeStream: + """A stand-in for asyncio's StreamReader: yield the queued lines, then EOF.""" + + def __init__(self, chunks: List[bytes]) -> None: + self._chunks = list(chunks) + + async def read(self, n: int = -1) -> bytes: + if not self._chunks: + return b"" + return self._chunks.pop(0) + + +class _FakeProc: + """A stand-in for the worker subprocess: `stderr` is the (quiet) pipe the + pump drains, `pid`/`returncode` are what the pump references.""" + + returncode: Optional[int] = None + + def __init__(self, stderr_chunks: List[bytes]) -> None: + self.pid = 777 + self.stderr = _FakeStream(stderr_chunks) + + +def test_stderr_pump_drains_without_forwarding( + monkeypatch: "pytest.MonkeyPatch", + tmp_path: Path, + caplog: "pytest.LogCaptureFixture", +) -> None: + # Whatever (accidentally) reaches the pipe is drained -- never echoed into the + # main log, since the worker already wrote it to its own file. + monkeypatch.setenv("OPENARC_LOG_FILE", str(tmp_path / "openarc.log")) + sup = WorkerSupervisor("mymodel") + sup._build_env() # a real file is handed over, as in a real run + sup._proc = _FakeProc([b"worker stderr line\n"]) + caplog.set_level(logging.INFO) + asyncio.run(sup._stderr_pump()) + lines = [ + r.getMessage() for r in caplog.records if r.name == "src.engine.worker.supervisor" + ] + assert "worker stderr line" not in " ".join(lines), lines From 46a1199b69543415fd3511fc506c193adb149577 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Sat, 3 Oct 2026 17:11:18 +0200 Subject: [PATCH 12/16] [#178] Optional Session with --session-id-heasder to survive worker restarts. The user.total_tokens usage per session is returned by the model worker from GenAI. When the worker crashed and was respawn, the token usage was reset to 0 from a clients viewpoint, which accounts for wrong request sizing and auto.compaction behavior on client side. To solve this (optionally), the server must keep track of this value in a session object per requests from a client that belong to a session in the clients sense of sessions. Clients may add a special HTTP header to indicate the session by id, to which the sent request belongs. Openarc is now able to accept this header key with a new parameter --session-id-header,sih to the "serve start" command, and if set, creates a session to keep token counters for that session. This survives a worker restart and then the session's token counters is reported to the client instead of the new model worker's 0 - until the client resends the whole conversation with the next request, and the model's token context is updated. --- src/cli/groups/serve.py | 24 +- src/cli/modules/launch_server.py | 10 +- src/engine/worker/session.py | 77 ++++ src/engine/worker/worker_process.py | 8 + src/server/deps.py | 4 + src/server/routes/openai.py | 113 +++++- .../modeling/contract_ovgenai_llm_and_vlm.py | 9 + src/server/sessions.py | 146 +++++++ tests/unit/test_cli_serve_session_unit.py | 75 ++++ tests/unit/test_openai_chat_session_unit.py | 358 ++++++++++++++++++ tests/unit/test_sessions_unit.py | 193 ++++++++++ .../test_worker_session_integration_unit.py | 242 ++++++++++++ tests/unit/test_worker_session_unit.py | 114 ++++++ 13 files changed, 1349 insertions(+), 24 deletions(-) create mode 100644 src/engine/worker/session.py create mode 100644 src/server/sessions.py create mode 100644 tests/unit/test_cli_serve_session_unit.py create mode 100644 tests/unit/test_openai_chat_session_unit.py create mode 100644 tests/unit/test_sessions_unit.py create mode 100644 tests/unit/test_worker_session_integration_unit.py create mode 100644 tests/unit/test_worker_session_unit.py diff --git a/src/cli/groups/serve.py b/src/cli/groups/serve.py index 553356d7..a08531f1 100644 --- a/src/cli/groups/serve.py +++ b/src/cli/groups/serve.py @@ -53,11 +53,24 @@ def _startup_context_window_warning(server_config, name: str): help="Load models on startup. Specify once followed by space-separated model names.") @click.option("--use-api-key", is_flag=True, default=False, help="Require OPENARC_API_KEY for all requests.") +@click.option("--session-id-header", "--sih", + required=False, + help=""" + - Request header carrying a client's session id (e.g. agent-session-id) for the + completions API. Clients may send this special header with each request to the + /v1/chat/completions endpoint as a notice, to which session the request belongs. When + set and incoming, OpenArc keeps an in-memory session as well for state about the + session's context, i.e. processed tokens. This survives a worker restart. The state + does not contain the sessions complete conversation - this is still required to be + sent with each request from the client, as per /v1/chat/completions contract. + When unset, or the set value is not present in request headers, no session handling + is done on the /v1/chat/completions API. + """) @click.option("-v", "--verbose", count=True, default=0, help="Increase verbosity: -v warnings, -vv info + HTTP requests, -vvv debug, -vvvv debug incl. third-party libraries.") @click.argument('startup_models', nargs=-1, required=False) @click.pass_context -def start(ctx, host, port, load_models, use_api_key, verbose, startup_models): +def start(ctx, host, port, load_models, use_api_key, session_id_header, verbose, startup_models): """ - 'start' reads --host and --port from config or defaults to 0.0.0.0:8000 @@ -112,5 +125,12 @@ def start(ctx, host, port, load_models, use_api_key, verbose, startup_models): os.environ["OPENARC_API_KEY_REQUIRED"] = "false" console.print("[blue]OPENARC_API_KEY_REQUIRED=[/blue][yellow]False[/yellow] [dim][Clients do not need to authenticate.][/dim]") + if session_id_header: + os.environ["OPENARC_SESSION_ID_HEADER"] = session_id_header + console.print(f"[blue]OPENARC_SESSION_ID_HEADER=[/blue][green]{session_id_header}[/green] [dim][per-session in-memory current-context counter; survives a worker restart, re-based on full re-send][/dim]") + else: + os.environ["OPENARC_SESSION_ID_HEADER"] = "" + console.print(f"[blue]OPENARC_SESSION_ID_HEADER=[/blue][yellow]\"\"[/yellow] [dim][No session handling; behaviour is unaffected.][/dim]") + console.print(f"[green]Starting OpenArc server on {host}:{port}[/green]") - start_server(host=host, port=port, verbose=verbose) + start_server(host=host, port=port, session_id_header=session_id_header, verbose=verbose) diff --git a/src/cli/modules/launch_server.py b/src/cli/modules/launch_server.py index fb35bbef..750127ff 100644 --- a/src/cli/modules/launch_server.py +++ b/src/cli/modules/launch_server.py @@ -128,19 +128,27 @@ def _build_log_config(verbose: int): logger = logging.getLogger("OpenArc") -def start_server(host: str = "0.0.0.0", port: int = 8001, reload: bool = False, verbose: int = 0): +def start_server(host: str = "0.0.0.0", port: int = 8001, reload: bool = False, verbose: int = 0, session_id_header: str = ""): """ Launches the OpenArc API server Args: host: Host to bind the server to port: Port to bind the server to + session_id_header: If set, name the client session-id header and enable + the server-side session on the shared registry before the app imports. """ # applies only until uvicorn.run() installs the dict config below. logger.setLevel(getattr(logging, _level_from_verbose(verbose))) logging.getLogger().setLevel(getattr(logging, _root_level_from_verbose(verbose))) + # Re-point the shared session registry from the flag (an empty header = off), + # so a stale import-time value (e.g. a different run in-process) is never used. + from src.server.deps import _sessions + + _sessions.reconfigure(session_id_header or None) + print(f"Launching {host}:{port}") print("--------------------------------") print("OpenArc endpoints:") diff --git a/src/engine/worker/session.py b/src/engine/worker/session.py new file mode 100644 index 00000000..f43b4eb0 --- /dev/null +++ b/src/engine/worker/session.py @@ -0,0 +1,77 @@ +"""Worker-side per-session usage tracker. + +The worker keeps one entry per session id and, for each request carrying one, +annotates that request's produced metrics with: + * session_context -- the absolute current context measured this turn + * session_delta -- how much that context grew since the previous turn in + THIS process; None when the server must re-base to + ``session_context`` instead of fold a delta in + * session_recalibrated -- True when the server must re-base (set its context to + ``session_context`` rather than add a delta). That is + the case in exactly two situations: + 1. this process has never seen the session -- a fresh + worker after a crash/respawn, or a brand-new + session, so only an absolute can re-anchor it; + 2. the context shrank since the previous turn -- the + *client* compacted (goose auto-compaction / the + ``compact`` command) or otherwise trimmed the + history. The running delta only ever climbs, so a + shrink must re-base: the reset value the worker now + reports is what the session has to carry forward, or + the server keeps the pre-compaction peak, goose + reads it back over its auto-compact threshold and + the two keep compacting forever. + +A server-side Session proxies it so the reported value survives a worker restart +and, just as importantly, tracks a compaction down. The conversation itself stays +in the (openvino_genai) ChatHistory in process. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Dict, Optional + + +@dataclass +class WorkerSession: + context: int = 0 + turns: int = 0 + + +class WorkerSessionManager: + def __init__(self) -> None: + self._sessions: Dict[str, WorkerSession] = {} + + def augment(self, session_id: str, metrics: Dict[str, Any]) -> None: + """Add this session's usage to a produced metrics dict, in place. No-op + (leaves the dict untouched) when it has no `input_token` -- only chat + (LLM/VLM) requests carry one, so non-chat engines are unaffected.""" + if "input_token" not in metrics: + return + prev = self._sessions.get(session_id) + context = int(metrics.get("input_token", 0)) + if prev is None or context < prev.context: + # Re-base instead of folding a delta in. A session the process has never + # seen (``prev is None`` -- a new session, or the first turn after a + # crash/respawn) can only be re-anchored by an absolute. So too does a + # SHRUNKEN context (``context < prev.context``): the client compacted away + # history, so the worker's number is now *lower*. The additive approach + # only grows, which would leave a stale, too-big peak in the session and + # drive a goose auto-compact loop -- so in both cases we hand the server + # the absolute and flag it recalibrated (delta None). + delta: Optional[int] = None + recalibrated = True + else: + # A continued history: fold the growth into the server's running number. + # (Only reached when the context grew or held flat, so delta >= 0.) + delta = context - prev.context + recalibrated = False + self._sessions[session_id] = WorkerSession( + context=context, + turns=(prev.turns if prev else 0) + 1, + ) + metrics["session_id"] = session_id + metrics["session_context"] = context + metrics["session_delta"] = delta + metrics["session_recalibrated"] = recalibrated diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py index 2825a0a2..1adf485d 100644 --- a/src/engine/worker/worker_process.py +++ b/src/engine/worker/worker_process.py @@ -28,6 +28,7 @@ from typing import Any, Dict, List, Optional from src.engine.worker import protocol as proto +from src.engine.worker.session import WorkerSessionManager from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig from src.server.schemas.modeling.contract_whisper import OVGenAI_WhisperGenConfig from src.server.schemas.registration import ModelLoadConfig, ModelType @@ -280,6 +281,9 @@ def __init__(self) -> None: self._active_gen: Optional[asyncio.Task] = None self._active_request_id: Optional[str] = None self._send_lock = asyncio.Lock() + # Per-session usage; a server-side Session mirrors it so the reported + # "current context" survives a worker restart. + self._worker_sessions = WorkerSessionManager() async def send(self, data: bytes) -> None: async with self._send_lock: @@ -462,8 +466,12 @@ async def _run_inference(self, msg: Dict[str, Any], method_name: str) -> None: self._active_request_id = msg.get("request_id") try: gen_config = self._validate_gen_config(json.loads(msg["gen_config"])) + session_id = getattr(gen_config, "session_id", None) run = getattr(self.model, method_name)(gen_config) async for item in run: + # Report this turn's usage for a session (augment no-ops without input_token). + if session_id and isinstance(item, dict): + self._worker_sessions.augment(session_id, item) await self.send(proto.encode_response(proto.MSG_ITEM, req_id=req_id, item=item)) await self.send(proto.encode_response(proto.MSG_DONE, req_id=req_id)) except asyncio.CancelledError: diff --git a/src/server/deps.py b/src/server/deps.py index 1289d5c0..a8703fdf 100644 --- a/src/server/deps.py +++ b/src/server/deps.py @@ -6,11 +6,15 @@ from src.server.model_registry import ModelRegistry from src.server.worker_registry import WorkerRegistry +from src.server.sessions import SessionRegistry logger = logging.getLogger(__name__) _registry = ModelRegistry() _workers = WorkerRegistry(_registry) +# Per-session "current context" proxy; a no-op unless --sih names a header +# (it exports OPENARC_SESSION_ID_HEADER; empty/unset => off, no behaviour change). +_sessions = SessionRegistry(os.getenv("OPENARC_SESSION_ID_HEADER") or None) API_KEY = os.getenv("OPENARC_API_KEY") AUTH_REQUIRED = os.getenv("OPENARC_API_KEY_REQUIRED", "false").lower() == "true" diff --git a/src/server/routes/openai.py b/src/server/routes/openai.py index 20e32c79..0863199a 100644 --- a/src/server/routes/openai.py +++ b/src/server/routes/openai.py @@ -10,7 +10,9 @@ from fastapi import APIRouter, Depends, File, Form, HTTPException, Request, UploadFile from fastapi.responses import JSONResponse, StreamingResponse -from src.server.deps import _registry, _workers, verify_api_key +from src.server.deps import _registry, _sessions, _workers, verify_api_key +from src.server.sessions import Session +from src.engine.worker.protocol import RemoteWorkerDeadError from src.server.schemas.modeling.contract_kokoro import ( KokoroLanguage, KokoroVoice, @@ -62,6 +64,7 @@ def _end_stream_on_worker_restart( object_name: str, choice: dict, cause: object, + usage: Optional[dict] = None, ) -> List[bytes]: """End a stream courteously (a short note + a graceful terminal + [DONE]) when the worker is being restarted within its respawn budget, so its in-flight @@ -71,18 +74,41 @@ def _end_stream_on_worker_restart( f"{label} {model_name}: worker restart in progress ({cause}); " f"ending stream for {request_id}" ) - _terminal = json.dumps( - { - "id": request_id, - "object": object_name, - "created": created_ts, - "model": model_name, - "choices": [choice], - } - ) + terminal = { + "id": request_id, + "object": object_name, + "created": created_ts, + "model": model_name, + "choices": [choice], + } + # A session hands its last-known context on across the restart (not 0); + # None (no session) leaves the terminal unchanged. + if usage is not None: + terminal["usage"] = usage + _terminal = json.dumps(terminal) return [f"data: {_terminal}\n\n".encode(), b"data: [DONE]\n\n"] +def _session_usage(session: Optional[Session], prompt_tokens=None, completion_tokens: int = 0) -> Optional[dict]: + """Usage block a session reports, or None (no session => the caller keeps the + plain per-request usage, so flag-off is unchanged). + + `total_tokens` is the session's accumulated "current context" (goose shows it + before / context_window); it survives a worker restart and re-bases on a + re-send. prompt/completion keep the real per-request values (unaffected by + the session, so goose's output/c accounting still accumulates correctly); + for a failed/healing turn the prompt defaults to the retained current and the + output to 0 (nothing was produced).""" + if session is None: + return None + current = session.current_context + return { + "prompt_tokens": current if prompt_tokens is None else prompt_tokens, + "completion_tokens": completion_tokens, + "total_tokens": current, + } + + def _get_record(model_name: str): """Return the loaded ModelRecord for a model_name, or None. @@ -266,6 +292,15 @@ async def openai_chat_completions( created_ts = int(time.time()) request_id = f"ov-{uuid.uuid4().hex[:24]}" + # --sih session (no-op otherwise): a proxy of the worker's ChatHistory + # usage (the "current context") so a worker restart reports the last-known + # value (not 0) until goose re-sends and the worker re-calibrates. + session = await _sessions.get_or_create( + _sessions.session_id_from(raw_request), model_name + ) + if session is not None: + generation_config.session_id = session.session_id + thinking_enabled = True if chat_template_kwargs: thinking_enabled = chat_template_kwargs.get( @@ -335,6 +370,8 @@ def _chunk(delta: dict) -> bytes: object_name="chat.completion.chunk", choice={"index": 0, "delta": {}, "finish_reason": "error"}, cause=item["error"], + # Last-known context (not 0) across the restart. + usage=_session_usage(session), ): yield _chunk return @@ -375,6 +412,16 @@ def _chunk(delta: dict) -> bytes: total_tokens = (metrics_data or {}).get( "total_token", prompt_tokens + completion_tokens ) + # Only total_tokens becomes the session's accumulated current context + # (folded in first); prompt/completion stay the real per-request values. + usage = { + "prompt_tokens": prompt_tokens, + "completion_tokens": completion_tokens, + "total_tokens": total_tokens, + } + if session is not None: + session.apply(metrics_data) + usage = _session_usage(session, prompt_tokens, completion_tokens) finish_reason = "tool_calls" if tool_call_sent else "stop" @@ -390,18 +437,35 @@ def _chunk(delta: dict) -> bytes: "finish_reason": finish_reason, } ], - "usage": { - "prompt_tokens": prompt_tokens, - "completion_tokens": completion_tokens, - "total_tokens": total_tokens, - }, + "usage": usage, } yield (f"data: {json.dumps(final_payload)}\n\n").encode() yield b"data: [DONE]\n\n" return StreamingResponse(event_stream(), media_type="text/event-stream") else: - result = await _workers.generate(model_name, generation_config) + try: + result = await _workers.generate(model_name, generation_config) + except RemoteWorkerDeadError as exc: + # Restart: keep the session's last-known context visible (never 0); + # a terminal death (will_respawn False) re-raises to the 500 handler. + if session is not None and getattr(exc, "will_respawn", False): + return { + "id": request_id, + "object": "chat.completion", + "created": created_ts, + "model": model_name, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": None}, + "finish_reason": "error", + } + ], + "usage": _session_usage(session), + "error": str(exc), + } + raise text = result.get("text", "") metrics = result.get("metrics", {}) or {} @@ -428,6 +492,17 @@ def _chunk(delta: dict) -> bytes: else: message["content"] = content_text if content_text else text + # Only total_tokens becomes the session's accumulated current context + # (folded in first); prompt/completion stay the real per-request values. + usage = { + "prompt_tokens": prompt_tokens, + "completion_tokens": completion_tokens, + "total_tokens": total_tokens, + } + if session is not None: + session.apply(metrics) + usage = _session_usage(session, prompt_tokens, completion_tokens) + return { "id": request_id, "object": "chat.completion", @@ -440,11 +515,7 @@ def _chunk(delta: dict) -> bytes: "finish_reason": finish_reason, } ], - "usage": { - "prompt_tokens": prompt_tokens, - "completion_tokens": completion_tokens, - "total_tokens": total_tokens, - }, + "usage": usage, "metrics": metrics, } except ValueError as exc: diff --git a/src/server/schemas/modeling/contract_ovgenai_llm_and_vlm.py b/src/server/schemas/modeling/contract_ovgenai_llm_and_vlm.py index aba0a65c..014af30a 100644 --- a/src/server/schemas/modeling/contract_ovgenai_llm_and_vlm.py +++ b/src/server/schemas/modeling/contract_ovgenai_llm_and_vlm.py @@ -86,6 +86,15 @@ class OVGenAI_GenConfig(BaseModel): default=None, description="Request ID for tracking and cancellation." ) + session_id: Optional[str] = Field( + default=None, + description=( + "Client session id (from the --sih header), routed to the worker so its " + "usage tracker can report the per-request 'current context' (mirrored in " + "a server-side Session that survives a restart). None => no session " + "handling (dropped on the wire when None)." + ) + ) seed: Optional[int] = Field( default=None, description="Fix the RNG seed used for generation. Setting this will cause the model to return the same text for the same prompt." diff --git a/src/server/sessions.py b/src/server/sessions.py new file mode 100644 index 00000000..da264fb4 --- /dev/null +++ b/src/server/sessions.py @@ -0,0 +1,146 @@ +"""Server-side session state: a proxy of a worker's ChatHistory usage. + +Kept only when `openarc serve start --session-id-header/--sih` names the header +carrying a client session id (see SessionRegistry; a no-op when unset). It holds +just the "current context" number per session -- the messages stay in the +worker -- so a worker restart keeps reporting the last-known value (not 0), and +re-bases it when the client re-sends the full conversation and the worker +re-calibrates, *or* when the client compacts away history and the worker re-measures +a smaller context (a re-base that goes *down*, so goose reads itself back under its +auto-compact threshold instead of compacting forever). + +Session is also the seam a future /v1/conversations endpoint would reuse +(get / delete / list); that endpoint is intentionally not built yet. +""" + +from __future__ import annotations + +import time +from dataclasses import dataclass, field +from typing import Any, Dict, List, Optional +from fastapi import Request + + +@dataclass +class ChatHistoryProxy: + """Just the usage number that mirrors the worker's ChatHistory. + + `apply` is only ever called from a request the worker reported as + successful; a crashed request reports nothing, so the value is left + untouched (this is the whole point -- it survives a worker restart): + * `session_recalibrated` True (or no delta) -> re-base to `session_context`. + The worker raises a re-base in exactly two cases, and here it must go the + right direction for both: + - the process never saw the session (a restart/respawn, or a brand-new + session): the last-known value is re-anchored to a *fresh* absolute; + - the context shrank since the previous turn (goose compacted/trimmed the + history, or re-templated): re-basing is what carries the *reset* value + forward. Otherwise the number only ever climbs, the client keeps reading + a pre-compaction peak over its threshold, and it compacts forever; + * otherwise -> add `session_delta` (a continued history keeps climbing). + (The worker now re-bases on a shrink, so a fold-in delta is always >= 0; + the `max(0, ...)` guards below are a defensive floor for a stale input.) + """ + + current_context: int = 0 + turns: int = 0 + + def apply(self, metrics: Optional[Dict[str, Any]]) -> int: + if not metrics: + return self.current_context + if metrics.get("session_recalibrated") or metrics.get("session_delta") is None: + # A re-base (restart, new session, or a compaction shrink): adopt the + # absolute the worker measured -- this goes up or *down* accordingly, so + # the number goose reads can follow a compaction down instead of peaking. + ctx = metrics.get("session_context") + if ctx is not None: + self.current_context = max(0, int(ctx)) + else: + # A continued (growing/flat) history folds its delta into the running + # number; the worker keeps this delta >= 0, so the floor is defensive. + self.current_context = max(0, self.current_context + int(metrics["session_delta"])) + self.turns += 1 + return self.current_context + + +@dataclass +class Session: + session_id: str + model_name: str + proxy: ChatHistoryProxy = field(default_factory=ChatHistoryProxy) + created: float = field(default_factory=time.time) + updated_at: float = field(default_factory=time.time) + + @property + def current_context(self) -> int: + return self.proxy.current_context + + def apply(self, metrics: Optional[Dict[str, Any]]) -> int: + current = self.proxy.apply(metrics) + self.updated_at = time.time() + return current + + def to_dict(self) -> Dict[str, Any]: + return { + "session_id": self.session_id, + "model_name": self.model_name, + "current_context": self.proxy.current_context, + "turns": self.proxy.turns, + "created": self.created, + "updated_at": self.updated_at, + } + + +class SessionRegistry: + """In-memory sessions keyed by the header value. `enabled` is False (every + method a no-op) unless a header is configured, so flag-off changes nothing.""" + + def __init__(self, header: Optional[str] = None, max_sessions: int = 1024) -> None: + self.reconfigure(header) + self._max = max_sessions + + # (Re)set the source header; None/empty => sessions off, and clears any kept. + def reconfigure(self, header: Optional[str]) -> None: + self.header = header or None + self._sessions: Dict[str, Session] = {} + + @property + def enabled(self) -> bool: + return self.header is not None + + def session_id_from(self, request: Optional[Request]) -> Optional[str]: + if not self.enabled or request is None: + return None + value = request.headers.get(self.header) + return value.strip() or None if value else None + + async def get_or_create(self, session_id: Optional[str], model_name: str) -> Optional[Session]: + if not self.enabled or not session_id: + return None + session = self._sessions.get(session_id) + if session is None: + session = Session(session_id=session_id, model_name=model_name) + self._sessions[session_id] = session + self._evict() + else: + session.model_name = model_name + session.updated_at = time.time() + return session + + def get(self, session_id: str) -> Optional[Session]: + return self._sessions.get(session_id) + + def delete(self, session_id: str) -> None: + self._sessions.pop(session_id, None) + + def list(self) -> List[Dict[str, Any]]: + return [s.to_dict() for s in self._sessions.values()] + + # Light LRU-ish guard so an unbounded set of ids can't grow forever. + def _evict(self) -> None: + if len(self._sessions) <= self._max: + return + for s in sorted(self._sessions.values(), key=lambda x: x.created): + self._sessions.pop(s.session_id, None) + if len(self._sessions) <= self._max: + return diff --git a/tests/unit/test_cli_serve_session_unit.py b/tests/unit/test_cli_serve_session_unit.py new file mode 100644 index 00000000..6f8f5d21 --- /dev/null +++ b/tests/unit/test_cli_serve_session_unit.py @@ -0,0 +1,75 @@ +"""Unit tests for `openarc serve start --session-id-header/--sih`. + +The flag names the HTTP header that carries a client session id. When set, +`serve start` must export ``OPENARC_SESSION_ID_HEADER`` to that name and hand it +to ``start_server`` (which enables the server-side session registry). When it is +absent, the env var must be exported as empty (sessions OFF) so behaviour is +unchanged. ``start_server`` is monkeypatched so nothing is actually launched. +""" + +import os + +import pytest # type: ignore[import] +from click.testing import CliRunner + +from src.cli import cli +import src.cli.modules.launch_server as launch_server + + +def _make_record(monkeypatch: "pytest.MonkeyPatch") -> dict: + """Replace start_server with a recorder that captures what it was handed, + including the env as seen at call time (the CLI edits os.environ before + calling it). Returns a mutable dict the test inspects after the call.""" + record: dict = {} + + def fake_start_server(host=None, port=None, reload=False, verbose=0, session_id_header=""): + record["host"] = host + record["port"] = port + record["session_id_header"] = session_id_header + record["env_session_header"] = os.environ.get("OPENARC_SESSION_ID_HEADER") + + monkeypatch.setattr(launch_server, "start_server", fake_start_server) + return record + + +def test_sih_sets_env_and_threads_it( + monkeypatch: "pytest.MonkeyPatch", tmp_path +) -> None: + cfg = tmp_path / "openarc_config.yaml" + cfg.write_text("") + record = _make_record(monkeypatch) + + result = CliRunner().invoke( + cli, + ["serve", "start", "--sih", "X-Session-Id"], + env={"OPENARC_CONFIG_FILE": str(cfg)}, + ) + assert result.exit_code == 0, result.output + assert record["session_id_header"] == "X-Session-Id" + assert record["env_session_header"] == "X-Session-Id" + assert "OPENARC_SESSION_ID_HEADER=X-Session-Id" in result.output + + +def test_no_sih_exports_empty_and_disables( + monkeypatch: "pytest.MonkeyPatch", tmp_path +) -> None: + cfg = tmp_path / "openarc_config.yaml" + cfg.write_text("") + record = _make_record(monkeypatch) + + result = CliRunner().invoke( + cli, + ["serve", "start"], + env={"OPENARC_CONFIG_FILE": str(cfg)}, + ) + assert result.exit_code == 0, result.output + # An explicit empty is what makes "unset" deterministic (not an inherited value). + assert record["session_id_header"] in ("", None) + assert record["env_session_header"] == "" + + +def test_sih_help_is_shown() -> None: + result = CliRunner().invoke(cli, ["serve", "start", "--help"]) + assert result.exit_code == 0, result.output + assert "--session-id-header" in result.output + assert "--sih" in result.output diff --git a/tests/unit/test_openai_chat_session_unit.py b/tests/unit/test_openai_chat_session_unit.py new file mode 100644 index 00000000..b018696b --- /dev/null +++ b/tests/unit/test_openai_chat_session_unit.py @@ -0,0 +1,358 @@ +"""Route-level tests for /v1/chat/completions session handling. + +These drive the real ``openai_chat_completions`` handler with a fake +``_workers`` and `_registry`, and a real ``SessionRegistry``, to prove the three +guarantees end to end: + + * with ``--sih`` off / no session header -> behaviour is unchanged; + * the session's accumulated "current context" is what the client reads + (``usage.total_tokens``; goose shows that value before / context_window); + * a worker restart (crash, will_respawn) keeps reporting the session's + last-known value instead of 0, and a fresh run re-bases it. +""" + +import asyncio +import json +import types +from typing import Any, Optional + +import pytest # type: ignore[import] +from fastapi import HTTPException, Request + +import src.server.routes.openai as R +from src.server.sessions import SessionRegistry +from src.server.schemas.requests_openai import OpenAIChatCompletionRequest +from src.engine.worker import protocol as proto + +HDR = "X-Session-Id" +MODEL = "m1" + + +def _record(tool=None) -> Any: + return types.SimpleNamespace(model_name=MODEL, tool_call_parser=tool, model_config_blocks=None) + + +def _registry(**models: Any) -> Any: + return types.SimpleNamespace( + _lock=asyncio.Lock(), + _models={name: _record(**kw) for name, kw in models.items()}, + ) + + +def _request(hdr_value: Optional[str]) -> Request: + headers = [] if not hdr_value else [(HDR.lower().encode(), hdr_value.encode())] + + async def _receive(): + return {"type": "http.request", "body": b"", "more_body": False} + + return Request( + { + "type": "http", + "method": "POST", + "scheme": "http", + "server": ("127.0.0.1", 80), + "path": "/v1/chat/completions", + "query_string": "", + "headers": headers, + }, + # `receive` returns http.request so is_disconnected() is False during streaming. + receive=_receive, + ) + + +class _Workers: + def __init__( + self, + *, + gen_result=None, + stream_items=None, + raise_dead: bool = False, + will_respawn: bool = True, + ): + self.gen_result = gen_result + self.stream_items = stream_items or [] + self.raise_dead = raise_dead + self.will_respawn = will_respawn + self.last_gen_config: Optional[Any] = None + self.cancelled: list = [] + + async def generate(self, model_name, gen_config): + self.last_gen_config = gen_config + if self.raise_dead: + raise proto.RemoteWorkerDeadError("worker died", will_respawn=self.will_respawn) + return self.gen_result + + async def stream_generate(self, model_name, gen_config): + self.last_gen_config = gen_config + for item in self.stream_items: + yield item + + async def infer_cancel(self, request_id): + self.cancelled.append(request_id) + + +def _plain_metrics(input_token: int = 120, new_token: int = 4) -> dict: + return {"input_token": input_token, "new_token": new_token, "total_token": input_token + new_token, "stream": False} + + +def _session_id(req_dict: dict) -> dict: + return OpenAIChatCompletionRequest.model_validate(req_dict) + + +def _parse_event(chunk: bytes) -> Optional[dict]: + text = chunk.decode().strip() + if not text.startswith("data: "): + return None + payload = text[len("data: "):] + if payload == "[DONE]": + return {"__done__": True} + return json.loads(payload) + + +# --------------------------------------------------------------------------- +# flag off / no session -> unchanged behaviour +# --------------------------------------------------------------------------- + +def test_no_session_usage_is_unchecked(monkeypatch: "pytest.MonkeyPatch") -> None: + workers = _Workers(gen_result={"text": "hi", "metrics": _plain_metrics(120, 4)}) + + async def _run(): + monkeypatch.setattr(R, "_sessions", SessionRegistry(None)) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + monkeypatch.setattr(R, "_workers", workers) + req = _session_id({"model": MODEL, "messages": [{"role": "user", "content": "hi"}], "stream": False}) + return await R.openai_chat_completions(req, _request(None)) + + resp = asyncio.run(_run()) + # Exactly the pre-session response; no session_* leakage, per-request total. + assert resp["usage"] == {"prompt_tokens": 120, "completion_tokens": 4, "total_tokens": 124} + + +def test_enabled_but_no_header_creates_no_session(monkeypatch: "pytest.MonkeyPatch") -> None: + reg = SessionRegistry(HDR) + workers = _Workers(gen_result={"text": "hi", "metrics": _plain_metrics(120, 4)}) + + async def _run(): + monkeypatch.setattr(R, "_sessions", reg) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + monkeypatch.setattr(R, "_workers", workers) + req = _session_id({"model": MODEL, "messages": [{"role": "user", "content": "hi"}], "stream": False}) + # No header sent -> not a session for this request, despite the flag being on. + return await R.openai_chat_completions(req, _request(None)) + + asyncio.run(_run()) + assert reg.get("anything") is None + + +# --------------------------------------------------------------------------- +# session present: the reported "current context" is the session's value +# --------------------------------------------------------------------------- + +def test_session_success_sets_session_id_and_reports_current_context( + monkeypatch: "pytest.MonkeyPatch", +) -> None: + reg = SessionRegistry(HDR) + # The worker measured an absolute (re)calibration of 5000 for this request. + metrics = {"input_token": 5000, "new_token": 7, "total_token": 5007, "stream": False, + "session_id": "sess-1", "session_context": 5000, "session_delta": None, "session_recalibrated": True} + workers = _Workers(gen_result={"text": "ok", "metrics": metrics}) + + async def _run(): + monkeypatch.setattr(R, "_sessions", reg) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + monkeypatch.setattr(R, "_workers", workers) + req = _session_id({"model": MODEL, "messages": [{"role": "user", "content": "hi"}], "stream": False}) + return await R.openai_chat_completions(req, _request("sess-1")) + + resp = asyncio.run(_run()) + # The number the client reads (goose: value before /context_window) is the session's. + assert resp["usage"]["total_tokens"] == 5000 + assert resp["usage"]["prompt_tokens"] == 5000 + # completion_tokens keeps the REAL per-turn output (not 0), so goose's + # accumulated output/cost accounting is unaffected by an active session. + assert resp["usage"]["completion_tokens"] == 7 + # The session id was threaded onto the request the worker saw. + assert workers.last_gen_config.session_id == "sess-1" + assert reg.get("sess-1").current_context == 5000 + + +def test_session_grows_across_requests(monkeypatch: "pytest.MonkeyPatch") -> None: + reg = SessionRegistry(HDR) + + async def _run(): + monkeypatch.setattr(R, "_sessions", reg) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + req = lambda: _session_id({"model": MODEL, "messages": [{"role": "user", "content": "hi"}], "stream": False}) + + # Turn 1: a fresh session re-calibrates to the measured absolute (5000). + R._workers = _Workers(gen_result={"text": "a", "metrics": { + "input_token": 5000, "new_token": 3, "stream": False, + "session_id": "sess-1", "session_context": 5000, "session_delta": None, "session_recalibrated": True}}) + r1 = await R.openai_chat_completions(req(), _request("sess-1")) + # Turn 2: a continued turn grows the context by a delta (5000 -> 6800). + R._workers = _Workers(gen_result={"text": "b", "metrics": { + "input_token": 6800, "new_token": 5, "stream": False, + "session_id": "sess-1", "session_context": 6800, "session_delta": 1800, "session_recalibrated": False}}) + r2 = await R.openai_chat_completions(req(), _request("sess-1")) + return r1, r2 + + r1, r2 = asyncio.run(_run()) + assert r1["usage"]["total_tokens"] == 5000 + assert r2["usage"]["total_tokens"] == 6800 # grew across requests + assert reg.get("sess-1").current_context == 6800 + + +# --------------------------------------------------------------------------- +# the fix itself: survive a worker restart, reporting the last-known value +# --------------------------------------------------------------------------- + +def test_session_survives_nonstream_restart(monkeypatch: "pytest.MonkeyPatch") -> None: + reg = SessionRegistry(HDR) # flag on + + async def _run(): + monkeypatch.setattr(R, "_sessions", reg) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + # A prior healthy turn left the session at 4000. + await reg.get_or_create("sess-1", MODEL) + reg.get("sess-1").apply({"session_recalibrated": True, "session_context": 4000, "session_delta": None}) + # Now the worker restarts while serving; it is still respawning (within budget). + monkeypatch.setattr(R, "_workers", _Workers(raise_dead=True, will_respawn=True)) + req = _session_id({"model": MODEL, "messages": [{"role": "user", "content": "trigger"}], "stream": False}) + return await R.openai_chat_completions(req, _request("sess-1")) + + resp = asyncio.run(_run()) + # The reported context is the last-known 4000, never 0; the session is untouched. + assert resp["usage"]["total_tokens"] == 4000 + # A failed turn genuinely produced no output -> 0 is correct (and goose's + # accumulated output is simply not advanced, not zeroed as a stale value). + assert resp["usage"]["completion_tokens"] == 0 + assert reg.get("sess-1").current_context == 4000 + assert resp["choices"][0]["finish_reason"] == "error" # the client knows it was a restart + + +def test_session_survives_stream_restart(monkeypatch: "pytest.MonkeyPatch") -> None: + reg = SessionRegistry(HDR) + + async def _run(): + monkeypatch.setattr(R, "_sessions", reg) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + await reg.get_or_create("sess-1", MODEL) + reg.get("sess-1").apply({"session_recalibrated": True, "session_context": 9000, "session_delta": None}) + # The worker restarts mid-stream within budget: one will_respawn error item. + monkeypatch.setattr(R, "_workers", _Workers(stream_items=[{"error": "boom", "will_respawn": True}])) + req = _session_id({"model": MODEL, "messages": [{"role": "user", "content": "stream"}], "stream": True}) + resp = await R.openai_chat_completions(req, _request("sess-1")) + events = [e for e in (await _drain(resp)) if e is not None and not e.get("__done__")] + return events + + events = asyncio.run(_run()) + terminal = [e for e in events if "usage" in e] + assert terminal, "the terminal event should carry a usage block" + assert terminal[-1]["usage"]["total_tokens"] == 9000 # last-known, not 0 + assert reg.get("sess-1").current_context == 9000 # the failed turn did not clobber it + + +def test_session_rebases_on_resend(monkeypatch: "pytest.MonkeyPatch") -> None: + reg = SessionRegistry(HDR) + + async def _run(): + monkeypatch.setattr(R, "_sessions", reg) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + await reg.get_or_create("sess-1", MODEL) + reg.get("sess-1").apply({"session_recalibrated": True, "session_context": 9000, "session_delta": None}) + # goose re-sends the full conversation; a FRESH worker re-calibrates and + # reports a new absolute (say the compacted 3000) -> the session re-bases. + monkeypatch.setattr(R, "_workers", _Workers(gen_result={"text": "again", "metrics": { + "input_token": 3000, "new_token": 2, "stream": False, + "session_id": "sess-1", "session_context": 3000, "session_delta": None, "session_recalibrated": True}})) + req = _session_id({"model": MODEL, "messages": [{"role": "user", "content": "again"}], "stream": False}) + return await R.openai_chat_completions(req, _request("sess-1")) + + resp = asyncio.run(_run()) + assert resp["usage"]["total_tokens"] == 3000 + assert reg.get("sess-1").current_context == 3000 + + +def test_session_rebases_on_compaction_shrink(monkeypatch: "pytest.MonkeyPatch") -> None: + # The auto-compact loop, fixed. This is NOT a worker restart: goose compacts + # away history, so the *same* live worker (still ready) re-measures a smaller + # context and, with the fix, reports it recalibrated. The server re-bases the + # session DOWN and hands the client that lower total_tokens -- so goose reads + # itself back under its auto-compact threshold and stops compacting. + reg = SessionRegistry(HDR) + + async def _run(): + monkeypatch.setattr(R, "_sessions", reg) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + await reg.get_or_create("sess-1", MODEL) + # Prior healthy turns left the session near its limit (the peak goose is + # reacting to). + reg.get("sess-1").apply({"session_recalibrated": True, "session_context": 9000, "session_delta": None}) + reg.get("sess-1").apply({"session_recalibrated": False, "session_context": 9700, "session_delta": 700}) + assert reg.get("sess-1").current_context == 9700 + # goose compacts: the live worker re-measures a smaller context (3200) and + # flags it recalibrated (a shrink). Same header -> same server session. + monkeypatch.setattr(R, "_workers", _Workers(gen_result={"text": "done", "metrics": { + "input_token": 3200, "new_token": 3, "stream": False, + "session_id": "sess-1", "session_context": 3200, "session_delta": None, "session_recalibrated": True}})) + req = _session_id({"model": MODEL, "messages": [{"role": "user", "content": "after"}], "stream": False}) + return await R.openai_chat_completions(req, _request("sess-1")) + + resp = asyncio.run(_run()) + # The client reads the reset (compacted) context, not the pre-compaction peak. + assert resp["usage"]["total_tokens"] == 3200 + assert reg.get("sess-1").current_context == 3200 + + +def test_terminal_death_still_raises(monkeypatch: "pytest.MonkeyPatch") -> None: + reg = SessionRegistry(HDR) + + async def _run(): + monkeypatch.setattr(R, "_sessions", reg) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + await reg.get_or_create("sess-1", MODEL) + reg.get("sess-1").apply({"session_recalibrated": True, "session_context": 4000, "session_delta": None}) + # A terminal death (respawn budget spent, model unloaded) is NOT masked: + # the client must still get an error, not a falsely healthy response. + monkeypatch.setattr(R, "_workers", _Workers(raise_dead=True, will_respawn=False)) + req = _session_id({"model": MODEL, "messages": [{"role": "user", "content": "trigger"}], "stream": False}) + return await R.openai_chat_completions(req, _request("sess-1")) + + with pytest.raises(HTTPException): + asyncio.run(_run()) + + +# --------------------------------------------------------------------------- +# streaming success folds the worker's per-request usage into the session +# --------------------------------------------------------------------------- + +def test_stream_success_folds_session_usage(monkeypatch: "pytest.MonkeyPatch") -> None: + reg = SessionRegistry(HDR) + + async def _run(): + monkeypatch.setattr(R, "_sessions", reg) + monkeypatch.setattr(R, "_registry", _registry(m1={})) + await reg.get_or_create("sess-1", MODEL) + reg.get("sess-1").apply({"session_recalibrated": True, "session_context": 3000, "session_delta": None}) + # A happy streaming run whose final metrics continue the history (+1100). + items = [{"metrics": {"input_token": 4100, "new_token": 2, "stream": True, + "session_id": "sess-1", "session_context": 4100, + "session_delta": 1100, "session_recalibrated": False}}, None] + monkeypatch.setattr(R, "_workers", _Workers(stream_items=items)) + req = _session_id({"model": MODEL, "messages": [{"role": "user", "content": "hi"}], "stream": True}) + resp = await R.openai_chat_completions(req, _request("sess-1")) + return [e for e in (await _drain(resp)) if e is not None and not e.get("__done__")] + + events = asyncio.run(_run()) + terminal = [e for e in events if "usage" in e] + assert terminal[-1]["usage"]["total_tokens"] == 4100 # 3000 + 1100 + assert reg.get("sess-1").current_context == 4100 + + +async def _drain(resp) -> list: + out: list = [] + async for chunk in resp.body_iterator: + parsed = _parse_event(chunk) + if parsed is not None: + out.append(parsed) + return out diff --git a/tests/unit/test_sessions_unit.py b/tests/unit/test_sessions_unit.py new file mode 100644 index 00000000..34ad8c83 --- /dev/null +++ b/tests/unit/test_sessions_unit.py @@ -0,0 +1,193 @@ +"""Unit tests for the server-side session proxy (src/server/sessions.py). + +The proxy mirrors a worker's ChatHistory usage ("current context") so that a +worker restart keeps reporting the last-known value instead of 0. No worker or +event loop is needed: the proxy is a plain object feeding off the worker's +per-request metrics keys (session_context / session_delta / session_recalibrated). +""" + +from __future__ import annotations + +import asyncio +from typing import Optional + +from fastapi import Request + +from src.server.sessions import ChatHistoryProxy, Session, SessionRegistry + +HDR = "X-Session-Id" + + +def _request(hdr_value: Optional[str] = None) -> Request: + """A minimal ASGI request whose only relevant part is its headers.""" + headers = [] if hdr_value is None else [(HDR.lower().encode(), hdr_value.encode())] + + async def _receive(): + return {"type": "http.request", "body": b"", "more_body": False} + + return Request( + { + "type": "http", + "method": "POST", + "scheme": "http", + "server": ("127.0.0.1", 80), + "path": "/v1/chat/completions", + "query_string": "", + "headers": headers, + }, + receive=_receive, + ) + + +# --------------------------------------------------------------------------- +# disabled (flag off): a strict no-op +# --------------------------------------------------------------------------- + +def test_disabled_registry_is_a_noop() -> None: + reg = SessionRegistry(None) + assert reg.enabled is False + # No header in effect -> nothing is ever read, even when the client sends one. + assert reg.session_id_from(_request("sess-1")) is None + assert reg.session_id_from(_request()) is None + # get_or_create must not create anything while disabled. + assert asyncio.run(reg.get_or_create("sess-1", "m1")) is None + assert reg.get("sess-1") is None + + +def test_empty_header_string_means_disabled() -> None: + # `serve start` exports "" when --sih is omitted; that must read as disabled. + reg = SessionRegistry("") + assert reg.enabled is False + assert asyncio.run(reg.get_or_create("sess-1", "m1")) is None + + +# --------------------------------------------------------------------------- +# enabled (flag on): read the header, keep one session per id +# --------------------------------------------------------------------------- + +def test_enabled_reads_header_from_request() -> None: + reg = SessionRegistry(HDR) + assert reg.enabled is True + assert reg.session_id_from(_request("sess-7")) == "sess-7" + assert reg.session_id_from(_request()) is None # no header -> None + assert reg.session_id_from(_request(" ")) is None # blank -> None + assert reg.session_id_from(None) is None # no request -> None + + +def test_get_or_create_persists_same_object() -> None: + reg = SessionRegistry(HDR) + loop = asyncio.new_event_loop() + try: + a = loop.run_until_complete(reg.get_or_create("sess-1", "m1")) + b = loop.run_until_complete(reg.get_or_create("sess-1", "m1")) + c = loop.run_until_complete(reg.get_or_create("sess-2", "m1")) + finally: + loop.close() + assert a is b # same session reused + assert a is not c + assert isinstance(a, Session) + assert a.session_id == "sess-1" + + +# --------------------------------------------------------------------------- +# the proxy number: the heart of the feature +# --------------------------------------------------------------------------- + +def test_proxy_recalibrate_then_increment_then_retain() -> None: + p = ChatHistoryProxy() + # First turn a (re)calibrated session sets it to the measured absolute. + assert p.apply({"session_recalibrated": True, "session_context": 5000, "session_delta": None}) == 5000 + # A continued turn adds the delta (the value grows across requests). + assert p.apply({"session_recalibrated": False, "session_context": 5700, "session_delta": 700}) == 5700 + assert p.apply({"session_recalibrated": False, "session_context": 6800, "session_delta": 1100}) == 6800 + # A failed request reports nothing -> apply is not called -> value is retained. + assert p.current_context == 6800 + + +def test_death_then_resend_rebases() -> None: + # The scenario under test: build up a healthy value, the worker dies (nothing + # updates the proxy), then goose re-sends the full conversation and the worker + # re-calibrates -> the session is re-based to that fresh measurement. + p = ChatHistoryProxy() + p.apply({"session_recalibrated": True, "session_context": 6000, "session_delta": None}) + p.apply({"session_recalibrated": False, "session_context": 7200, "session_delta": 1200}) + assert p.current_context == 7200 + # Worker went away: the session simply holds 7200. + # goose re-sends; a fresh worker reports a re-measured absolute (maybe goat + # compacted, so a *different* number than 7200). + assert p.apply({"session_recalibrated": True, "session_context": 4100, "session_delta": None}) == 4100 + assert p.current_context == 4100 + + +def test_growth_branch_floor() -> None: + # The worker now re-bases on a shrink (recalibrated True) instead of sending a + # negative delta, so this path is purely defensive: a fold-in delta is always + # >= 0, but the proxy must still never let a stale/negative one drive the + # reported number below 0. + p = ChatHistoryProxy() + p.apply({"session_recalibrated": False, "session_context": 1000, "session_delta": -100000}) + assert p.apply({"session_recalibrated": False, "session_context": 200, "session_delta": -100000}) == 0 + assert p.current_context >= 0 + + +def test_shrink_rebases_in_proxy() -> None: + # The compaction case on the server side: a live session (no worker restart) + # whose worker reports a SHRUNKEN context because goose compacted away history. + # The worker now flags that turn recalibrated, so the proxy re-bases DOWN to + # the reset value instead of holding the pre-compaction peak -- otherwise goose + # keeps reading the peak over its auto-compact threshold and compacts forever. + p = ChatHistoryProxy() + p.apply({"session_recalibrated": True, "session_context": 9000, "session_delta": None}) + p.apply({"session_recalibrated": False, "session_context": 10400, "session_delta": 1400}) + assert p.current_context == 10400 + # goose compacts: the worker re-sends a smaller conversation (smaller context) + # and, with the fix, flags it recalibrated so the proxy drops to the reset value. + assert p.apply({"session_recalibrated": True, "session_context": 3200, "session_delta": None}) == 3200 + assert p.current_context == 3200 + + +# --------------------------------------------------------------------------- +# registry plumbing for a future /v1/conversations + +def test_get_delete_and_list() -> None: + reg = SessionRegistry(HDR) + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(reg.get_or_create("sess-1", "llm")) + loop.run_until_complete(reg.get_or_create("sess-2", "llm")) + assert {e["session_id"] for e in reg.list()} == {"sess-1", "sess-2"} + reg.delete("sess-1") + assert reg.get("sess-1") is None + assert reg.get("sess-2") is not None + finally: + loop.close() + + +def test_eviction_drops_oldest_when_over_cap() -> None: + reg = SessionRegistry(HDR, max_sessions=2) + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(reg.get_or_create("s1", "m")) + loop.run_until_complete(reg.get_or_create("s2", "m")) + loop.run_until_complete(reg.get_or_create("s3", "m")) + finally: + loop.close() + assert len(reg._sessions) == 2 + assert reg.get("s1") is None # oldest evicted + assert reg.get("s2") is not None + assert reg.get("s3") is not None + + +def test_reconfigure_toggles_and_clears() -> None: + reg = SessionRegistry(HDR) + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(reg.get_or_create("sess-1", "m")) + assert reg.enabled is True + reg.reconfigure(None) + assert reg.enabled is False + assert reg.get("sess-1") is None # sessions cleared on reconfigure + reg.reconfigure(HDR) + assert reg.enabled is True + finally: + loop.close() diff --git a/tests/unit/test_worker_session_integration_unit.py b/tests/unit/test_worker_session_integration_unit.py new file mode 100644 index 00000000..918cf669 --- /dev/null +++ b/tests/unit/test_worker_session_integration_unit.py @@ -0,0 +1,242 @@ +"""End-to-end test for the worker's per-session usage tracker. + +Spawns a REAL worker child process whose model is a pure-Python stub that, like a +real pipeline, reports ``input_token`` in its metrics (no OpenVINO/GPU/model +files needed). It proves the actual worker wiring in ``worker_process._run_inference`` +-- ``session_id`` -> ``_worker_sessions.augment`` -> the metrics carry +``session_context``/``session_delta``/``session_recalibrated`` back to the parent +-- and that it is safe to leave alone when no session id is present. + +The key guarantee R3 depends on: brand-new process has an empty session map, so +the first time it sees a session it reports ``recalibrated=True`` (a re-base), +which is why, after a crash, goose's re-sent full conversation re-calibrates the +server-side session. +""" + +import asyncio +import os +from pathlib import Path +from typing import Any, Optional + +import pytest # type: ignore[import] + +from src.engine.worker import protocol as proto +from src.engine.worker.supervisor import EOF, WorkerSupervisor +from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig +from src.server.schemas.registration import EngineType, ModelLoadConfig, ModelType + +REPO_ROOT = Path(__file__).resolve().parents[2] +WORKER_ENTRY = "openarc_worker_session_probe" + +# The child's model: a pure-Python stub whose metrics carry a real (from the +# prompt) input_token so the worker's usage tracker has a number to track. +WORKER_MAIN_SRC = r''' +from __future__ import annotations + +import asyncio +from typing import Any, Dict +from src.engine.worker.worker_process import _Worker, _configure_logging + + +def _input_token(gen_config: Any) -> int: + # Deterministic from the prompt so different prompts => different context. + prompt = gen_config.prompt or "" + return max(1, len(str(prompt).split())) * 100 + + +class _InputTokenStub: + def __init__(self, load_config: Any) -> None: + self.load_config = load_config + + def load_model(self, loader: Any) -> None: + pass # no pipeline to real build here + + async def generate_type(self, gen_config: Any) -> Any: + it = _input_token(gen_config) + base: Dict[str, Any] = {"input_token": it, "new_token": 1, "stream": bool(gen_config.stream)} + if gen_config.stream: + yield "chunk" + yield base + else: + yield base + yield "chunk" + + async def transcribe(self, gen_config: Any) -> Any: + raise NotImplementedError + + async def cancel(self, request_id: str) -> bool: + return False + + +class _ProbeWorker(_Worker): + def _build_model(self, load_config: Any) -> Any: + return _InputTokenStub(load_config) + + +def main() -> int: + _configure_logging() + worker = _ProbeWorker() + try: + asyncio.run(worker.run()) + return 0 + except SystemExit as e: + return int(e.code) if isinstance(e.code, int) else 0 + except KeyboardInterrupt: + return 130 + except Exception: + return 1 +''' + + +def _write_worker_module(tmp_path: Path) -> Path: + module_dir = tmp_path / "worker" + module_dir.mkdir(parents=True, exist_ok=True) + (module_dir / f"{WORKER_ENTRY}.py").write_text(WORKER_MAIN_SRC, encoding="utf-8") + return module_dir + + +class _ProbeSupervisor(WorkerSupervisor): + WORKER_ENTRY = WORKER_ENTRY + + def __init__(self, *args, module_dir: Optional[str] = None, extra_paths=None, **kwargs): + super().__init__(*args, **kwargs) + self._module_dir = module_dir + self._extra_paths = [p for p in (extra_paths or []) if p] + + def _build_env(self) -> dict: + # Front the child's path with the temp module dir and the repo root so it + # can import both the probe worker and ``src.*``. + env = super()._build_env() + paths = [p for p in env.get("PYTHONPATH", "").split(os.pathsep) if p] + for path in [self._module_dir, *self._extra_paths]: + if path and path not in paths: + paths.insert(0, path) + env["PYTHONPATH"] = os.pathsep.join(paths) + return env + + +def _load_config(model_dir: str) -> ModelLoadConfig: + return ModelLoadConfig( + model_path=model_dir, + model_name="probe-llm", + model_type=ModelType.LLM, + engine=EngineType.OV_GENAI, + device="CPU", + ) + + +def _gen_config(prompt: str, session_id: Optional[str]) -> OVGenAI_GenConfig: + return OVGenAI_GenConfig(prompt=prompt, stream=False, session_id=session_id) + + +def _expected_input_token(prompt: str) -> int: + return max(1, len(prompt.split())) * 100 + + +def _make_supervisor(model_dir: str, module_dir: Path) -> _ProbeSupervisor: + return _ProbeSupervisor( + "probe-llm", + load_timeout=30.0, + max_respawns=2, + on_dead=None, + module_dir=str(module_dir), + extra_paths=[str(REPO_ROOT)], + ) + + +def _metrics_item(items: list) -> Optional[dict]: + # The produced metrics dict is the one dictionary item in a drain. + for item in items: + if isinstance(item, dict) and "input_token" in item: + return item + return None + + +async def _drain(sup: _ProbeSupervisor, gen_config: OVGenAI_GenConfig) -> list: + queue, result = await sup.begin_run( + proto.OP_GENERATE, gen_config.model_dump_json(), gen_config.request_id + ) + items: list = [] + while True: + item = await queue.get() + if item is EOF: + break + items.append(item) + await result + return items + + +def test_worker_reports_recalibrated_then_delta(tmp_path) -> None: + """One process: first turn re-calibrates, a continued turn adds a delta. A + brand-new process re-sees the session as recalibrated again (the re-base that + happens after a crash), and a session-less request is left untouched.""" + module_dir = _write_worker_module(tmp_path) + model_dir = str(tmp_path) + + async def _run(): + # Same process: turn 1 (recalibrate) then turn 2 (increment). + sup = _make_supervisor(model_dir, module_dir) + try: + await sup.start(_load_config(model_dir)) + assert sup.status()["state"] == "ready" + + items1 = await _drain(sup, _gen_config("hi", "sess-1")) + m1 = _metrics_item(items1) + assert m1 is not None + assert m1["session_id"] == "sess-1" + assert m1["session_recalibrated"] is True + assert m1["session_delta"] is None + assert m1["session_context"] == _expected_input_token("hi") + + items2 = await _drain(sup, _gen_config("hello there friend how are you", "sess-1")) + m2 = _metrics_item(items2) + assert m2 is not None + assert m2["session_recalibrated"] is False + assert m2["session_context"] == _expected_input_token("hello there friend how are you") + assert m2["session_delta"] == ( + _expected_input_token("hello there friend how are you") + - _expected_input_token("hi") + ) + assert m2["session_delta"] > 0 + finally: + await sup.unload() + + # A fresh process (the crash/respawn analog) sees the SAME session id first + # => recalibrated again => the server re-bases instead of adding. + fresh = _make_supervisor(model_dir, module_dir) + try: + await fresh.start(_load_config(model_dir)) + assert fresh.status()["state"] == "ready" + assert fresh.pid != sup.pid # a genuinely fresh process + mfresh = _metrics_item(await _drain(fresh, _gen_config("hi", "sess-1"))) + assert mfresh is not None + assert mfresh["session_recalibrated"] is True + assert mfresh["session_delta"] is None + finally: + await fresh.unload() + + asyncio.run(asyncio.wait_for(_run(), timeout=120)) + + +def test_no_session_id_leaves_metrics_untouched(tmp_path) -> None: + """With ``--sih`` off there is no session id on the request, so the worker + must add none of the session_* keys even though the stub emits input_token.""" + module_dir = _write_worker_module(tmp_path) + model_dir = str(tmp_path) + + async def _run(): + sup = _make_supervisor(model_dir, module_dir) + try: + await sup.start(_load_config(model_dir)) + items = await _drain(sup, _gen_config("hi", None)) + finally: + await sup.unload() + + m = _metrics_item(items) + assert m is not None + assert "session_id" not in m + assert "session_context" not in m + assert "session_delta" not in m + assert "session_recalibrated" not in m + + asyncio.run(asyncio.wait_for(_run(), timeout=120)) diff --git a/tests/unit/test_worker_session_unit.py b/tests/unit/test_worker_session_unit.py new file mode 100644 index 00000000..744d31ed --- /dev/null +++ b/tests/unit/test_worker_session_unit.py @@ -0,0 +1,114 @@ +"""Unit tests for the worker-side per-session usage tracker (worker/session.py). + +The worker keeps one entry per session id and, for each request carrying a +session id, annotates that request's produced metrics with: + * session_context -- the absolute current context measured this turn + * session_delta -- growth since the previous turn in THIS process; None + when the server re-bases instead (a first/respawn + turn, or a compaction shrink) + * session_recalibrated -- True when the server must re-base to session_context + rather than add a delta: a fresh worker (a crash/respawn, + or a brand-new session), OR the context having shunk since + the previous turn (the client compacted). Re-basing on a + shrink is what lets the server-side number follow a + compaction down instead of peaking and looping. +""" + +from __future__ import annotations + +from src.engine.worker.session import WorkerSessionManager + + +def _metrics(input_token: int, **extra) -> dict: + m = {"input_token": input_token, "new_token": 3, "stream": False} + m.update(extra) + return m + + +def test_first_turn_recalibrates() -> None: + m = WorkerSessionManager() + metrics = _metrics(5000) + m.augment("sess-1", metrics) + assert metrics["session_id"] == "sess-1" + assert metrics["session_context"] == 5000 + assert metrics["session_delta"] is None # no prior turn + assert metrics["session_recalibrated"] is True + + +def test_continued_turn_reports_delta() -> None: + m = WorkerSessionManager() + m.augment("sess-1", _metrics(5000)) + metrics = _metrics(6800) + m.augment("sess-1", metrics) + assert metrics["session_context"] == 6800 + assert metrics["session_delta"] == 1800 # 6800 - 5000 + assert metrics["session_recalibrated"] is False + + +def test_fresh_process_resees_session_as_recalibrated() -> None: + # The key property: a worker process has a fresh, empty tracker, so when it + # sees a session it already knows about (goose re-sent the conversation after + # a crash) it reports recalibrated=True -> the server re-bases, not adds. + m = WorkerSessionManager() + metrics = _metrics(9000) + m.augment("sess-1", metrics) + assert metrics["session_recalibrated"] is True + assert metrics["session_delta"] is None + + +def test_independent_sessions() -> None: + m = WorkerSessionManager() + a = _metrics(1000) + b = _metrics(2000) + m.augment("sa", a) + m.augment("sb", b) + # sa first-seen -> recalibrate; sb first-seen -> recalibrate (independent). + assert a["session_recalibrated"] is True + assert b["session_recalibrated"] is True + a2 = _metrics(1500) + b2 = _metrics(3500) + m.augment("sa", a2) + m.augment("sb", b2) + assert a2["session_delta"] == 500 + assert b2["session_delta"] == 1500 + assert a2["session_recalibrated"] is False + assert b2["session_recalibrated"] is False + + +def test_no_input_token_is_a_noop() -> None: + # Engines that never report a context (embeddings, rerank, ...) must be + # untouched: their metrics carry no input_token, so no session keys are added + # and nothing is tracked. (Sessions only ever arrive with LLM/VLM chat.) + m = WorkerSessionManager() + metrics = {"prompt_tokens": 10, "stream": False} + m.augment("sess-1", metrics) + assert "session_context" not in metrics + assert "session_delta" not in metrics + assert "session_recalibrated" not in metrics + assert m._sessions == {} + + +def test_shrink_rebases() -> None: + # The compaction case: goose compacts (or trims) away history, so the worker + # measures a SMALLER context this turn than the previous one. The running delta + # only climbs, so a shrink must re-base (recalibrated True, delta None) -- the + # server adopts the new (lower) absolute, else it keeps the pre-compaction peak + # and goose keeps compacting forever. + m = WorkerSessionManager() + m.augment("sess-1", _metrics(5000)) # turn 1 + metrics = _metrics(1000) # turn 2: context shrank (compaction) + m.augment("sess-1", metrics) + assert metrics["session_context"] == 1000 + assert metrics["session_delta"] is None # re-base, not a (clamped) delta + assert metrics["session_recalibrated"] is True + + +def test_flat_turn_is_zero_growth() -> None: + # Context unchanged between turns -> a zero delta, still a continued (not + # re-based) turn; the server adds 0 and the number is simply unchanged. + m = WorkerSessionManager() + m.augment("sess-1", _metrics(5000)) + metrics = _metrics(5000) + m.augment("sess-1", metrics) + assert metrics["session_delta"] == 0 + assert metrics["session_recalibrated"] is False From 4bbdcab065204ecf938d74a33b4b6f5bd79962ff Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Tue, 6 Oct 2026 00:27:10 +0200 Subject: [PATCH 13/16] [#178] Windows compatibility + tests --- src/engine/worker/platform_support.py | 257 ++++++++++++++++ src/engine/worker/supervisor.py | 43 ++- src/engine/worker/worker_process.py | 102 +++++-- .../test_worker_windows_integration.py | 127 ++++++++ tests/unit/test_worker_log_file_unit.py | 37 ++- tests/unit/test_worker_platform_unit.py | 286 ++++++++++++++++++ 6 files changed, 811 insertions(+), 41 deletions(-) create mode 100644 src/engine/worker/platform_support.py create mode 100644 tests/integration/test_worker_windows_integration.py create mode 100644 tests/unit/test_worker_platform_unit.py diff --git a/src/engine/worker/platform_support.py b/src/engine/worker/platform_support.py new file mode 100644 index 00000000..8ad50a3a --- /dev/null +++ b/src/engine/worker/platform_support.py @@ -0,0 +1,257 @@ +"""Platform-specific process handling for the inference worker machinery. + +The supervisor/worker design is *otherwise* identical on POSIX (Linux/macOS) and +Windows: the worker is one `sys.executable -c ...` child per model, it speaks the +same one-JSON-line-over-stdin/out protocol, it redirects its own stderr into its +own log file (``os.open``/``os.dup2`` are cross-platform), and it exits with the +same exit codes (``os._exit``/``sys.exit``). No fork, no process groups, no +POSIX signals are relied on -- confirmed by grepping the codebase. + +Only a few OS primitives differ, and that is all this module owns: + + * **Console / stdin.** This module adds *no* spawn control on either host + (``hide_console=False``; ``make_spawn_kwargs`` returns ``{}``). The real + breakage was in the worker, not the spawn: on Windows the worker reads commands + by ``connect_read_pipe``-ing its inherited ``sys.stdin``, which the proactor + then registers with its IOCP via ``CreateIoCompletionPort`` -- and that fails + ``[WinError 6] The handle is invalid`` on the inherited (non-overlapped) stdin + pipe, so the worker reads nothing and the 30s load budget expires (a plain + ``os.read(0)`` on the same handle works). Fixed in ``worker_process``: on + Windows the worker reads ``stdin`` with a blocking ``os.read`` on a daemon + thread feeding the StreamReader (POSIX keeps ``connect_read_pipe``). + * **Termination.** On POSIX the supervisor escalates ``SIGTERM`` (terminate) + then ``SIGKILL`` (kill); on Windows asyncio routes BOTH ``Process.terminate()`` + and ``Process.kill()`` to ``_winapi.TerminateProcess`` -- so the whole ladder + collapses toward one hard terminate. The *graceful* path is the protocol's + ``UNLOAD`` message (the child exits 0 itself); terminate/kill are only the + fallback after a timeout, and ``Process.terminate()``/``Process.kill()`` are + already ported for both platforms by CPython. This module just centralises the + call (and the Platform key on which a single test suite can assert both hosts). + * **PYTHONPATH joining.** ``os.pathsep`` is ``":"`` on POSIX and ``";"`` on + Windows; the supervisor already joins with ``os.pathsep`` (correct on any + host) -- we route it through ``Platform.pathsep`` so the *decision* is pure + and testable regardless of which host the test happens to run on. + +Why split into DECISION vs EXECUTION +------------------------------------ +The whole point of the split is to make the Windows path *testable on a POSIX +box*, since the project has no Windows environment: + + * ``describe_spawn_kwargs`` / ``Platform.pathsep`` / ``build_*`` are *pure* + functions of a host-independent ``Platform`` descriptor. They can be called + with BOTH ``POSIX`` and ``WINDOWS`` on any host and asserted -- this is what + the unit tests do, so the Windows *decision* (hide the console, ``";"`` path + separator, which terminate strategy) is checked without ever touching a real + Windows primitive. + * ``make_spawn_kwargs`` is the one step that translates the pure description + into real handles/flags. The Windows-only symbols (``subprocess.STARTUPINFO``, + ``STARTF_USESHOWWINDOW``, ``SW_HIDE``, ``CREATE_NO_WINDOW``) exist *only* on a + Windows host, so that import is guarded by ``os.name == "nt"``; if a caller + asks for the Windows spawn from a POSIX host it gets a clear ``RuntimeError`` + instead of a cryptic ``AttributeError``. The *actual* Windows spawn therefore + only ever runs on a Windows host -- which the ``windows-latest`` CI job + provides (the same stub lifecycle unit tests then auto-exercise the real + Windows spawn/terminate, because the supervisor uses ``current_platform()``). +""" + +from __future__ import annotations + +import os +from dataclasses import dataclass +from typing import Any, Dict + +# The host we actually run on (``os.name`` is ``"nt"`` on Windows, ``"posix"`` +# everywhere this project supports). +IS_WINDOWS = os.name == "nt" +IS_POSIX = os.name == "posix" +OS_NAME = os.name + + +@dataclass(frozen=True) +class Platform: + """A host-independent description of a platform's process behaviour. + + This is deliberately free of any OS-specific handles/symbols: it only records + *what* the platform wants to do, so the pure decision functions (and the tests + over them) can run on any host. ``make_spawn_kwargs`` performs the one + host-specific translation from this description into real kwargs. + + Attributes: + name: ``"posix"`` or ``"windows"``. + pathsep: separator to join a Python path for the child's ``PYTHONPATH`` + (``":"`` on POSIX, ``";"`` on Windows) -- read from ``os.pathsep`` for + the real host so nothing doubles up with the OS. + hide_console: whether to spawn the child with a hidden console (Windows + only; a visible one would pop a window per model/worker process). + uses_job_object: reserved -- kept as a flag for a future where a worker + spawns further children and we'd want to reap the whole tree. OpenVINO + inference runs in-process (threads), so a worker never branches into a + child tree, and no job object is needed today. + terminate_signal: how the hard-terminate fallback maps (see module + docstring); purely informational for log messages / the tests. + """ + + name: str + pathsep: str + hide_console: bool + uses_job_object: bool = False + terminate_signal: str = "sigterm_then_sigkill" + + +# Host-independent descriptors for the two platforms. ``pathsep`` is HARDCODED +# (":" on POSIX, ";" on Windows) -- NOT read from os.pathsep -- so a test running +# on either host can drive the *other* platform's decisions (e.g. assert the +# windowed spawn / ";"-joined PYTHONPATH) without a real Windows box. The real +# ``os.pathsep`` is used only by ``current_platform()`` below, which the +# supervisor actually runs on (so production on any host is always correct). +# ``describe_spawn_kwargs``/``make_spawn_kwargs`` key off ``hide_console`` only, +# so these fixed separators never affect the spawn resolution. +POSIX = Platform( + name="posix", + pathsep=":", + hide_console=False, + terminate_signal="sigterm_then_sigkill", +) + +WINDOWS = Platform( + name="windows", + pathsep=";", + # See the module docstring: we no longer hide the per-worker console. Forcing a + # hidden console clobbered the proactor's STARTF_USESTDHANDLES wiring and left + # the child's stdin an invalid handle (WinError 6) -- an invalid, silent child. + hide_console=False, + uses_job_object=False, + terminate_signal="terminate_process", +) + + +def current_platform() -> "Platform": + """The ``Platform`` for the host this process is actually running on. + + Uses the real ``os.pathsep``/``os.name`` so the production path on any host is + correct; the fixed module-level ``POSIX``/``WINDOWS`` are exposed separately so + a test can drive the *other* platform's decisions from whatever host it runs on. + """ + if os.name == "nt": + return Platform( + name="windows", + pathsep=os.pathsep, + hide_console=False, + uses_job_object=False, + terminate_signal="terminate_process", + ) + return Platform( + name="posix", + pathsep=os.pathsep, + hide_console=False, + terminate_signal="sigterm_then_sigkill", + ) + + +# -- pure spawn *description* (host-independent: asserted by the unit tests) -------- + + +def describe_spawn_kwargs(platform: "Platform") -> Dict[str, Any]: + """Host-independent description of the extra kwargs needed to spawn a worker + child, expressed as plain data (names/booleans, NOT live handles) so it can be + asserted on any host. + + With the current decision (hidden console *disabled* -- see the module + docstring) BOTH platforms need nothing extra, so this returns ``{}`` and the + worker's stdin/stdout/stderr are wired straight by asyncio's proactor. The dict + shape below is retained only as the documented form a caller would receive if a + *proactor-safe* console control were ever re-introduced; today no ``Platform`` + sets ``hide_console`` True, so that branch is unreachable. + """ + if not platform.hide_console: + return {} + return { + "creationflags": "CREATE_NO_WINDOW", + "startupinfo_dwFlags": "STARTF_USESHOWWINDOW", + "startupinfo_wShowWindow": "SW_HIDE", + } + + +def make_spawn_kwargs(platform: "Platform") -> Dict[str, Any]: + """Translate a ``Platform``'s spawn description into the real kwargs for + ``asyncio.create_subprocess_exec``. + + Both platforms currently return ``{}``: with the hidden console disabled (see + the module docstring) the POSIX AND the Windows child need no special spawn + flags at all, so asyncio's proactor wires the child's stdin/stdout/stderr + itself and the child's stdin ends up a valid handle (the thing a forced hidden + console broke). The Windows-only symbol-build and the actionable off-host error + below are retained as the documented shape for if/when a *proactor-safe* + console control is re-introduced. + + Guarding the Windows-only symbols: ``subprocess.STARTUPINFO`` / + ``STARTF_USESHOWWINDOW`` / ``SW_HIDE`` / ``CREATE_NO_WINDOW`` are defined + *only* on a Windows interpreter, so the corresponding import/lookup happens + strictly after an ``os.name == "nt"`` check. If a caller asks for the Windows + spawn from a POSIX host (e.g. a test that forgot to gate on the host), this + raises a clear, actionable ``RuntimeError`` rather than a cryptic + ``AttributeError`` deep inside ``create_subprocess_exec``. + """ + desc = describe_spawn_kwargs(platform) + if not desc: + # POSIX (or any platform that needs no extra flags): nothing to add. + return {} + # A console-hiding spawn (Windows). The Windows-only subprocess symbols are + # only looked up on a Windows host; any other host gets an actionable error + # instead of a bare AttributeError from an incomplete platform module. + if os.name != "nt": + raise RuntimeError( + f"cannot construct {platform.name!r} console-hiding spawn kwargs on host " + f"os.name={os.name!r}: the Windows STARTUPINFO/CREATE_NO_WINDOW symbols " + f"only exist on a Windows interpreter. The {platform.name!r} spawn runs " + f"there (see the windows-latest CI); on a POSIX box assert " + f"describe_spawn_kwargs({platform.name!r}) instead of calling this." + ) + import subprocess as _subprocess + + startupinfo = _subprocess.STARTUPINFO() + # The child inherits our handles via asyncio's STARTF_USESTDHANDLES (added by + # Popen for the stdin/stdout/stderr pipes); we OR in USESHOWWINDOW and hide, + # and request that no NEW console be created, so a worker never pops a window. + startupinfo.dwFlags |= _subprocess.STARTF_USESHOWWINDOW + startupinfo.wShowWindow = _subprocess.SW_HIDE + return { + "startupinfo": startupinfo, + "creationflags": _subprocess.CREATE_NO_WINDOW, + } + + +# -- termination (asyncio Process; the graceful UNLOAD is done in the supervisor) -- + +# A duck-typed stand-in for asyncio.subprocess.Process: only the two methods we call. +Terminable = Any + + +def terminate(proc: "Terminable", platform: "Platform") -> None: + """Soft-terminate the worker child (best effort; the supervisor calls this in + the unload ladder after the graceful ``UNLOAD`` message times out, and the + result is re-checked by awaiting ``proc.wait()``). + + On POSIX this is ``SIGTERM``; on Windows asyncio routes ``Process.terminate()`` + to ``TerminateProcess``, so for Windows the graceful-then-hard ladder the + supervisor runs is effectively a single hard terminate. Swallows the "already + gone" cases (a child that exited on its own before we got here). + """ + try: + proc.terminate() + except (ProcessLookupError, OSError): + pass + + +def kill(proc: "Terminable", platform: "Platform") -> None: + """Hard-terminate the worker child (the last step of the unload ladder). + + ``Process.kill()`` is already ported by CPython for both platforms (``SIGKILL`` + on POSIX, ``TerminateProcess`` on Windows), so the call is identical -- this + wrapper just keeps the platform key in one place and swallows the "already + gone" cases so the supervisor's ``await proc.wait()`` does the real ordering. + """ + try: + proc.kill() + except (ProcessLookupError, OSError): + pass diff --git a/src/engine/worker/supervisor.py b/src/engine/worker/supervisor.py index b15634c1..2872dbf7 100644 --- a/src/engine/worker/supervisor.py +++ b/src/engine/worker/supervisor.py @@ -34,6 +34,7 @@ import uuid from typing import Any, AsyncIterator, Awaitable, Callable, Dict, Optional, Tuple, Union +from src.engine.worker import platform_support from src.engine.worker import protocol as proto from src.server.schemas.registration import ModelLoadConfig @@ -88,8 +89,14 @@ def __init__( ping_timeout: float = 5.0, restart_backoff: float = 0.5, on_dead: Optional[Callable[[], Awaitable[None]]] = None, + platform: Optional[platform_support.Platform] = None, ) -> None: self._model_name = model_name + # The host this supervisor runs on, chosen once (the spawn flags, the + # PYTHONPATH separator, and the terminate strategy all key off it). + # Defaults to the real host; a test may inject the *other* platform to + # drive its pure decisions (see platform_support) without a real host. + self._platform = platform if platform is not None else platform_support.current_platform() self._max_respawns = max_respawns self._load_timeout = load_timeout self._unload_timeout = unload_timeout @@ -227,7 +234,10 @@ def _build_env(self) -> Dict[str, str]: cwd = os.getcwd() if cwd not in paths: paths.insert(0, cwd) - env["PYTHONPATH"] = os.pathsep.join(paths) + # Join with the platform's path separator (":" on POSIX, ";" on Windows): + # reading the Platform keeps this a pure decision that a test can drive for + # whichever platform, and os.pathsep is the real host's value anyway. + env["PYTHONPATH"] = self._platform.pathsep.join(paths) # The child sizes its stdin reader with this limit BEFORE the LOAD # command arrives (the pipe reader is created at startup), so the # per-model worker_line_limit travels in the environment, not the @@ -256,6 +266,11 @@ async def _spawn(self) -> None: stderr=asyncio.subprocess.PIPE, cwd=os.getcwd(), env=self._build_env(), + # Windows only: hide the per-worker console (a visible console would + # pop a window PER model/worker process), and create no new one. + # POSIX gets an empty dict -- the child needs no special flags, so the + # existing Linux/macOS behaviour is byte-for-byte unchanged. + **platform_support.make_spawn_kwargs(self._platform), ) # Log the started worker's pid from the supervisor so it lands on the # server's stdout / openarc.log (the analogue of "Started server process [pid]"). @@ -399,20 +414,20 @@ async def unload(self) -> None: logger.warning( f"[{self._model_name}] worker did not exit after UNLOAD; terminating" ) - try: - proc.terminate() - except ProcessLookupError: - pass + # Graceful terminate: SIGTERM on POSIX, TerminateProcess on + # Windows (where the graceful and the hard step are the same + # call -- the ladder below still makes sense as a final resort). + platform_support.terminate(proc, self._platform) try: await asyncio.wait_for(proc.wait(), 5.0) except asyncio.TimeoutError: logger.warning( - f"[{self._model_name}] worker did not exit after SIGTERM; killing" + f"[{self._model_name}] worker did not exit after " + f"{self._platform.terminate_signal}; forcing kill" ) - try: - proc.kill() - except ProcessLookupError: - pass + # Hard terminate: SIGKILL on POSIX, TerminateProcess on + # Windows (already ported by CPython for both platforms). + platform_support.kill(proc, self._platform) await proc.wait() await self._await_pipe_tasks() self._close_process_streams() @@ -764,10 +779,10 @@ def _terminate_process(self) -> None: proc = self._proc if proc is None or proc.returncode is not None: return - try: - proc.kill() - except ProcessLookupError: - pass + # Route the emergency terminate through the platform seam: SIGKILL on + # POSIX, TerminateProcess on Windows; the helper swallows the "already + # gone" case (a child that exited on its own before we got here). + platform_support.kill(proc, self._platform) def _set_state(self, state: str) -> None: if state != self._state: diff --git a/src/engine/worker/worker_process.py b/src/engine/worker/worker_process.py index 1adf485d..0a6bf9a4 100644 --- a/src/engine/worker/worker_process.py +++ b/src/engine/worker/worker_process.py @@ -24,9 +24,11 @@ import logging import os import sys +import threading import time from typing import Any, Dict, List, Optional +from src.engine.worker import platform_support from src.engine.worker import protocol as proto from src.engine.worker.session import WorkerSessionManager from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig @@ -98,30 +100,54 @@ def _worker_logfile_from_env(model_name: str) -> Optional[str]: return value or None -def _redirect_stderr_to(path: str) -> None: +def _redirect_stderr_to(path: str) -> bool: """Redirect fd 2 -- catching output that native C libraries (OpenVINO/ OpenCL) write straight to the descriptor, bypassing Python logging -- to *path*, appending. The destination is a bare fd (so it is not GC-closed twice) re-targeted onto fd 2 with dup2, which also closes the inherited pipe's write end; sys.stderr is then rebuilt on a private dup of it - (closefd=False) so the StreamHandler keeps writing to the file.""" - directory = os.path.dirname(path) - if directory: - os.makedirs(directory, exist_ok=True) - old = sys.stderr - target_fd = os.open(path, os.O_WRONLY | os.O_CREAT | os.O_APPEND, 0o644) - os.dup2(target_fd, 2) - os.close(target_fd) - sys.stderr = os.fdopen( - 2, "a", encoding="utf-8", errors="replace", buffering=1, closefd=False - ) - if old is not sys.stderr: - # The inherited pipe's write end was already closed by the dup2 above; - # this merely silences a "close of a gone fd" when `old` is later GC'd. - try: - old.close() - except Exception: - pass + (closefd=False) so the StreamHandler keeps writing to the file. + + These primitives (``os.open``/``os.dup2``/``os.fdopen``) are cross-platform, + so the redirect itself works on Windows. But the whole thing FAILS OPEN: if + the destination can't be opened (e.g. the log directory is not writable -- a + real hazard on a restricted Windows install or a read-only share), the + failure is logged and ``sys.stderr`` is left untouched (still the inherited + pipe the supervisor drains and forwards nothing from), so a problem opening + the LOG never takes the worker down or leaks into the main log. The mode it + requests (``0o644``) is ignored on Windows (no POSIX mode bits) but is valid + syntax everywhere, so this reads cleanly on all hosts. + + Returns True when the redirect happened, False when it was skipped (so a + caller can note the worker logged to its own stderr instead); ``return`` only, + never raises -- a worker that can't reach its log file should keep running. + """ + try: + directory = os.path.dirname(path) + if directory: + os.makedirs(directory, exist_ok=True) + old = sys.stderr + target_fd = os.open(path, os.O_WRONLY | os.O_CREAT | os.O_APPEND, 0o644) + os.dup2(target_fd, 2) + os.close(target_fd) + sys.stderr = os.fdopen( + 2, "a", encoding="utf-8", errors="replace", buffering=1, closefd=False + ) + if old is not sys.stderr: + # The inherited pipe's write end was already closed by the dup2 above; + # this merely silences a "close of a gone fd" when `old` is later GC'd. + try: + old.close() + except Exception: + pass + return True + except Exception as e: + logger.error( + f"could not redirect the worker's stderr to {path!r} ({e}); " + f"keeping the inherited stderr (its output is not forwarded to the " + f"main log either, by the worker's log-isolation design)" + ) + return False def _configure_logging() -> None: @@ -166,6 +192,10 @@ def _worker_line_limit() -> int: return proto.PROTOCOL_LINE_LIMIT +# Bytes the Windows stdin-reader thread pulls from fd 0 per blocking read. +_WORKER_READ_CHUNK = 64 * 1024 + + class _StubModel: """ Test double for the OVGenAI models (VLM/LLM/Whisper), selected by @@ -299,8 +329,22 @@ async def run(self) -> None: # itself is per-model (see ModelLoadConfig.worker_line_limit, # exported by the supervisor as OPENARC_WORKER_LINE_LIMIT). reader = asyncio.StreamReader(limit=_worker_line_limit()) - protocol = asyncio.StreamReaderProtocol(reader) - await loop.connect_read_pipe(lambda: protocol, sys.stdin) + # On Windows the proactor registers sys.stdin with an IOCP + # (CreateIoCompletionPort), which throws WinError 6 on the inherited, + # non-overlapped stdin pipe -- the worker reads no command and the load + # budget expires. Read our stdin with a blocking os.read(0) on a daemon + # thread feeding the StreamReader instead (a plain read on fd 0 works); + # POSIX keeps the existing proactor read, byte-for-byte. + if platform_support.IS_WINDOWS: + threading.Thread( + target=self._read_stdin_thread, + args=(loop, reader), + daemon=True, + name=f"ovworker-stdin-{self.model_name or 'worker'}", + ).start() + else: + protocol = asyncio.StreamReaderProtocol(reader) + await loop.connect_read_pipe(lambda: protocol, sys.stdin) while True: try: line = await reader.readline() @@ -330,6 +374,22 @@ async def run(self) -> None: if self._active_gen is not None and not self._active_gen.done(): self._active_gen.cancel() + def _read_stdin_thread(self, loop: "asyncio.AbstractEventLoop", reader: asyncio.StreamReader) -> None: + """Windows stdin reader: a blocking os.read(0) on a daemon thread that + feeds the StreamReader, then EOFs it when the parent closes the pipe. + Bypasses the proactor's IOCP registration of the inherited stdin, which + fails (WinError 6) on the inherited, non-overlapped pipe.""" + while True: + try: + data = os.read(0, _WORKER_READ_CHUNK) + except OSError: + data = b"" + if data: + loop.call_soon_threadsafe(reader.feed_data, data) + continue + loop.call_soon_threadsafe(reader.feed_eof) + return + # Overridable hooks so protocol variants (e.g. the plain-OpenVINO worker) # can subclass this loop without duplicating it. def _build_model(self, load_config: ModelLoadConfig) -> Any: diff --git a/tests/integration/test_worker_windows_integration.py b/tests/integration/test_worker_windows_integration.py new file mode 100644 index 00000000..a3bee05c --- /dev/null +++ b/tests/integration/test_worker_windows_integration.py @@ -0,0 +1,127 @@ +"""End-to-end test of the *Windows-specific* spawn of an inference worker, run +only on a Windows host. + +The *decision* that the Windows path exists (add *no* console control, join +PYTHONPATH with ';', terminate via TerminateProcess") is asserted +host-independently in tests/unit/test_worker_platform_unit.py, so it is covered on +any machine. What that test cannot do is exercise the part that genuinely needs +Windows: the one place that resolves the description into the real spawn kwargs +(platform_support.make_spawn_kwargs -- today a plain ``{}`` for both platforms, so +the child's console is left to the proactor) and actually spawns the child with that +here, on whatever host the suite runs on -- which is why +the module is gated on ``platform_support.IS_WINDOWS`` (so it is a clean skip on +the Linux dev/CI box and RUns on the ``windows-latest`` CI job, see +.github/workflows/run-unit-tests.yml). + +The lifecycle itself uses the same stub model (OPENARC_WORKER_STUB=1) as +tests/unit/test_remote_vlm_worker_unit.py, so it needs no OpenVINO, GPU, or model +files -- it just proves the full spawn -> LOAD -> GENERATE -> FATAL+respawn -> +UNLOAD pipe works when driven by a Windows child. The assertion unique to Windows +is that the spawn added *no* console control, so the proactor left the child's +stdin/stdout/stderr valid and the worker reads its commands. +""" + +from __future__ import annotations + +import asyncio +from typing import Optional + +import pytest # type: ignore[import] + +from src.engine.worker import platform_support as ps +from src.engine.worker import protocol as proto +from src.engine.worker.worker_client import RemoteOVGenAI_VLM +from src.server.schemas.modeling.contract_ovgenai_llm_and_vlm import OVGenAI_GenConfig +from src.server.schemas.registration import EngineType, ModelLoadConfig, ModelType + +pytestmark = pytest.mark.skipif( + not ps.IS_WINDOWS, + reason="exercises the real Windows spawn (hidden-console STARTUPINFO); " + "skipped on a non-Windows host -- run it on the windows-latest CI job", +) + + +# -- the Windows spawn itself ----------------------------------------------------------------- + + +def test_windows_spawn_adds_no_console_control() -> None: + """The Windows-specific resolution 'build a hidden-console STARTUPINFO' became + 'add nothing': forcing a hidden console clobbered the proactor's + STARTF_USESTDHANDLES wiring and left the child's stdin an invalid handle + (OSError [WinError 6]: The handle is invalid) -- an invalid, SILENT worker that + never sends LOAD_OK, so the 30s load budget expired. That was the integration + failure this file proved was fixed: a clean spawn (no STARTUPINFO, no + creationflags) leaves asyncio's proactor to wire the child's stdio, and the + full lifecycle just below only runs if that wiring is valid.""" + extra = ps.make_spawn_kwargs(ps.current_platform()) + assert extra == {}, extra # neither a STARTUPINFO nor creationflags + + +# -- the full lifecycle, driven by a Windows child --------------------------------------------- + + +def _load_config(tmp_path, name: str = "stub-vlm", model_type: ModelType = ModelType.VLM) -> ModelLoadConfig: + return ModelLoadConfig( + model_path=str(tmp_path), + model_name=name, + model_type=model_type, + engine=EngineType.OV_GENAI, + device="CPU", + ) + + +def _gen_config( + prompt: str, stream: bool = False, request_id: Optional[str] = None +) -> OVGenAI_GenConfig: + return OVGenAI_GenConfig(prompt=prompt, stream=stream, request_id=request_id) + + +async def _wait_for_respawn( + facade: RemoteOVGenAI_VLM, first_pid: Optional[int], timeout: float = 30.0 +) -> None: + async def _poll() -> None: + while facade.worker_pid == first_pid or facade.status()["state"] != "ready": + await asyncio.sleep(0.05) + + await asyncio.wait_for(_poll(), timeout) + + +async def _drain(facade: RemoteOVGenAI_VLM, gen_config: OVGenAI_GenConfig) -> list: + run = facade.generate_type(gen_config) + return [item async for item in run] + + +def test_stub_vlm_worker_full_lifecycle_on_windows(tmp_path, monkeypatch) -> None: + """Full spawn -> LOAD -> GENERATE -> FATAL+respawn -> UNLOAD, driven by a real + Windows child (the same stub used on POSIX). A new PID proves a fresh process + respawned; the (console-control-free) spawn pinned by the test above is what + left the child's stdin a valid handle so it could read at all. Passing this on + Windows means + the *whole* worker machine -- not just the decision -- works there.""" + monkeypatch.setenv("OPENARC_WORKER_STUB", "1") + config = _load_config(tmp_path) + + async def _run() -> None: + facade = RemoteOVGenAI_VLM(config, load_timeout=30.0) + await facade.load_model(config) + assert facade.status()["state"] == "ready" + assert facade.worker_pid is not None + + items = await _drain(facade, _gen_config("hello world")) + assert isinstance(items[0], dict) + assert items[1] == "hello world" + + # A wedge (FATAL) respawns a fresh process on Windows too -- a different + # PID is the positive proof, exactly as on POSIX. + with pytest.raises(proto.RemoteWorkerError): + await _drain(facade, _gen_config("FATAL please")) + first_pid = facade.worker_pid + await _wait_for_respawn(facade, first_pid) + + items = await _drain(facade, _gen_config("back up")) + assert items[-1] == "back up" + + await facade._supervisor.unload() + assert facade.status()["state"] == "closed" + + asyncio.run(_run()) diff --git a/tests/unit/test_worker_log_file_unit.py b/tests/unit/test_worker_log_file_unit.py index 954b95fd..405100d5 100644 --- a/tests/unit/test_worker_log_file_unit.py +++ b/tests/unit/test_worker_log_file_unit.py @@ -74,23 +74,48 @@ def test_worker_log_file_keeps_the_main_log_directory( monkeypatch: "pytest.MonkeyPatch", ) -> None: # A directory component is (re)attached around the model-part splice, so the - # worker file lands in the SAME directory as the main log. - monkeypatch.setenv("OPENARC_LOG_FILE", "/var/log/openarc.log") + # worker file lands in the SAME directory as the main log. The EXPECTED + # value is built with os.path.join -- i.e. the host's separator ("\" on a + # Windows box) -- exactly the way the code builds it, so this holds on either + # host. The former hard-coded "/var/log/..." read back on Windows as + # "/var/log\\openarc-worker-mymodel.log"; a drive letter (e.g. C:/x/y) is a + # perfectly valid Windows path, so the point is the *shape follows + # os.path.join*, not that a path can never contain a colon. + main_log = "/var/log/openarc.log" + monkeypatch.setenv("OPENARC_LOG_FILE", main_log) monkeypatch.delenv("OPENARC_WORKER_LOGFILE_mymodel", raising=False) sup = WorkerSupervisor("mymodel") - assert sup._worker_log_file() == "/var/log/openarc-worker-mymodel.log" + result = sup._worker_log_file() + # The named intent: same directory as the main log, the model part spliced in. + # Both derived on the host, so the separator matches whatever os.path produces. + directory, _name = os.path.split(main_log) + assert result == os.path.join(directory, "openarc-worker-mymodel.log") + assert os.path.dirname(result) == os.path.dirname(main_log) + assert os.path.basename(result) == "openarc-worker-mymodel.log" def test_worker_log_file_is_per_model(monkeypatch: "pytest.MonkeyPatch") -> None: # Distinct models get distinct files: each model owns a process and a log. - monkeypatch.setenv("OPENARC_LOG_FILE", "/var/log/openarc.log") + # The expected paths are built with os.path.join (the host separator -- "\" + # on Windows) the same way the code builds them, so this holds on either host; + # the former hard-coded "/var/log/..." read back on Windows as + # "/var/log\\openarc-worker-alpha.log" (a drive letter, e.g. C:/x/y, is a + # valid Windows path, so the separator must simply follow os.path.join). + main_log = "/var/log/openarc.log" + monkeypatch.setenv("OPENARC_LOG_FILE", main_log) monkeypatch.delenv("OPENARC_WORKER_LOGFILE_alpha", raising=False) monkeypatch.delenv("OPENARC_WORKER_LOGFILE_beta", raising=False) a = WorkerSupervisor("alpha")._worker_log_file() b = WorkerSupervisor("beta")._worker_log_file() - assert a == "/var/log/openarc-worker-alpha.log" - assert b == "/var/log/openarc-worker-beta.log" + directory, _name = os.path.split(main_log) + assert a == os.path.join(directory, "openarc-worker-alpha.log") + assert b == os.path.join(directory, "openarc-worker-beta.log") assert a != b + # Same directory, only the model part of the name differs -- so neither can be + # mistaken for the other's file. (Basename is separator-free, holds on any host.) + assert os.path.dirname(a) == os.path.dirname(b) + assert os.path.basename(a) == "openarc-worker-alpha.log" + assert os.path.basename(b) == "openarc-worker-beta.log" def test_worker_log_file_honours_pre_set_override( diff --git a/tests/unit/test_worker_platform_unit.py b/tests/unit/test_worker_platform_unit.py new file mode 100644 index 00000000..5ec1acaa --- /dev/null +++ b/tests/unit/test_worker_platform_unit.py @@ -0,0 +1,286 @@ +"""Tests for the platform-specific process handling the worker relies on +(src.engine.worker.platform_support), plus the platform seams the supervisor +now routes through. + +The whole point of this module is to make the Windows worker path **testable on +a POSIX box**, since the project has no local Windows environment. That works +because the platform-specific behavior is split into: + + * a *decision* -- which platform we are on, whether to hide the per-worker + console, which flags/`STARTUPINFO` to spawn with, what character to join + PYTHONPATH with, and how the hard-terminate ladder maps -- expressed as pure + functions of a host-independent `Platform` descriptor. These are exercised + HERE, on whatever host the suite runs on, for BOTH `POSIX` and `WINDOWS`, + so the Windows decisions are checked without ever touching a real Windows + primitive. + * *execution* -- the one step that turns the description into real + `subprocess` handles/flags (`make_spawn_kwargs`), which genuinely requires a + matching host. That is *not* tested here (it needs Windows); it is exercised + by the existing stub-lifecycle unit tests, which spawn the real child on the + current host (so they auto-cover Windows when run on the `windows-latest` CI + runner) and, explicitly, by tests/integration/test_worker_windows_ + integration.py (gated on the real host). + +So: the DECISIONS are asserted below for both platforms on any host; the +EXECUTION runs on whatever host the test executes on. +""" + +from __future__ import annotations + +import os +from pathlib import Path + +import pytest # type: ignore[import] + +from src.engine.worker import platform_support as ps +from src.engine.worker.supervisor import WorkerSupervisor +from src.engine.worker.worker_process import _redirect_stderr_to + + +# -- the host-independent Platform descriptors ------------------------------------------ + + +def test_platform_descriptors_are_host_independent() -> None: + """The fixed POSIX/WINDOWS descriptors carry HARDCODED separators (not the + running host's os.pathsep), so a test can drive the *other* platform's + decisions. That is the mechanism that lets us assert the Windows decision on + a POSIX box and vice versa.""" + assert ps.POSIX.name == "posix" + assert ps.POSIX.pathsep == ":" + assert ps.POSIX.hide_console is False + assert ps.WINDOWS.name == "windows" + assert ps.WINDOWS.pathsep == ";" + assert ps.WINDOWS.hide_console is False + # The Windows decision: add *no* console control (a forced hidden console broke + # the proactor's stdio wiring -- see platform_support's module docstring), while + # the graceful-then-hard terminate ladder collapses toward a single hard terminate. + assert ps.WINDOWS.terminate_signal == "terminate_process" + assert ps.POSIX.terminate_signal == "sigterm_then_sigkill" + # reserved for a future where a worker spawns its own children. + assert ps.WINDOWS.uses_job_object is False + + +def test_current_platform_matches_the_real_host() -> None: + """`current_platform()` is what the supervisor actually runs on: it keys off + the real `os.name` and uses the real `os.pathsep`, so production on any host + is correct (a test on Windows gets the windows descriptor and a `;` + separator, a test on POSIX gets the opposite).""" + plat = ps.current_platform() + assert plat.name == ("windows" if os.name == "nt" else "posix") + assert plat.pathsep == os.pathsep + assert plat.hide_console is False + + +# -- the pure spawn *decision* (describe_spawn_kwargs) ---------------------------------- + + +def test_spawn_decision_posix_needs_nothing() -> None: + """On POSIX a child needs no special flags: no console to hide, no + STARTUPINFO, creationflags 0 -- the existing Linux/macOS spawn, unchanged.""" + assert ps.describe_spawn_kwargs(ps.POSIX) == {} + + +def test_spawn_decision_windows_requests_no_console_control() -> None: + """The old Windows decision was to hide the per-worker console (CREATE_NO_WINDOW + + STARTF_USESHOWWINDOW + SW_HIDE) so a server does not pop a visible window per + model. That broke the real spawn (see platform_support's module docstring): + forcing a hidden console clobbered the proactor's STARTF_USESTDHANDLES stdio + wiring and left the child's stdin an invalid handle, so the worker read nothing + and the 30s load budget expired. The decision is now: request *no* extra console + control -- the proactor wires the child's stdin/stdout/stderr itself (a visible, + inherited per-worker window is accepted).""" + assert ps.describe_spawn_kwargs(ps.WINDOWS) == {} + + +# -- the one host-specific resolution step (make_spawn_kwargs) --------------------------- +# +# With the console-hide disabled the Windows resolution is a plain ``{}`` -- the +# same as POSIX and host-independent (it consults no Windows-only subprocess +# symbols) -- so it runs on any machine. make_spawn_kwargs still keeps an actionable +# off-host error behind that guard, but it is now unreachable because +# describe_spawn_kwargs(WINDOWS) is empty first; the test below proves the result. + + +def test_make_spawn_kwargs_posix_is_empty_on_any_host() -> None: + """Resolving the POSIX decision needs no Windows symbols, so it is a no-op + ``{}`` and works everywhere (this is the path the real spawn takes on Linux + / macOS, so it is also covered end-to-end by the stub-lifecycle tests).""" + assert ps.make_spawn_kwargs(ps.POSIX) == {} + + +def test_make_spawn_kwargs_windows_is_a_host_independent_noop() -> None: + """With the console-hide disabled, resolving the Windows decision returns a plain + ``{}`` (describe_spawn_kwargs(WINDOWS) is empty first, so the actionable + off-host error inside make_spawn_kwargs is never reached) -- it consults no + Windows-only subprocess symbols, so it works identically on every host. That is + the proof the Windows worker spawn no longer needs a Windows-only code path at + all; the real spawn is then exercised end-to-end in + tests/integration/test_worker_windows_integration.py.""" + assert ps.make_spawn_kwargs(ps.WINDOWS) == {} + + +# -- the termination ladder, keyed off the platform --------------------------------------- + + +class _RecordingTerminable: + """Stand-in for asyncio.subprocess.Process: records which of the two calls + the platform seam chose, and can also act as a process that is already gone.""" + + def __init__(self, *, already_gone: bool = False) -> None: + self.calls: list = [] + self.already_gone = already_gone + + def terminate(self) -> None: + if self.already_gone: + raise ProcessLookupError("already gone") + self.calls.append("terminate") + + def kill(self) -> None: + if self.already_gone: + raise ProcessLookupError("already gone") + self.calls.append("kill") + + +@pytest.mark.parametrize("plat", [ps.POSIX, ps.WINDOWS], ids=["posix", "windows"]) +def test_terminate_uses_proc_terminate_for_every_platform(plat) -> None: + proc = _RecordingTerminable() + ps.terminate(proc, plat) + assert proc.calls == ["terminate"] + + +@pytest.mark.parametrize("plat", [ps.POSIX, ps.WINDOWS], ids=["posix", "windows"]) +def test_kill_uses_proc_kill_for_every_platform(plat) -> None: + proc = _RecordingTerminable() + ps.kill(proc, plat) + assert proc.calls == ["kill"] + + +@pytest.mark.parametrize("plat", [ps.POSIX, ps.WINDOWS], ids=["posix", "windows"]) +@pytest.mark.parametrize("helper", [ps.terminate, ps.kill]) +def test_termination_swallows_an_already_gone_child(plat, helper) -> None: + """The supervisor's unload ladder must not raise because the child exited on + its own first (a race the `await proc.wait()` after is the real ordering -- + the helper just has to be best-effort). Checked for both platforms.""" + gone = _RecordingTerminable(already_gone=True) + helper(gone, plat) # must not raise + + +# -- the supervisor routes its platform seams through these fns --------------------------- + + +def test_supervisor_build_env_pathsep_is_platform_driven() -> None: + """_build_env joins the child's PYTHONPATH with the injected platform's + separator, so the *decision* is host-independent and assertable. On a + POSIX host the default (real) platform uses ':'; injecting WINDOWS must use + ';'. The worker identity is always handed over regardless.""" + host_env = WorkerSupervisor("mymodel")._build_env() + # default == current_platform() == real host: its real os.pathsep IS the join + # separator (":" on POSIX, ";" on Windows). + assert os.pathsep in host_env["PYTHONPATH"] + # The model name (and, when a main log is configured, the per-model log key) + # are always passed so the worker can find its own log file. + assert host_env["OPENARC_WORKER_MODEL"] == "mymodel" + + win_env = WorkerSupervisor("mymodel", platform=ps.WINDOWS)._build_env() + # Injecting WINDOWS forces the ";" JOIN separator -- that is the decision. + assert ";" in win_env["PYTHONPATH"] + # BUT every entry is still an absolute Windows path, e.g. C:/x/y, which + # carries a ":" from the drive letter. That ":" is a *drive letter*, not the + # (";") separator we join on -- so it must NOT be forbidden. A drive-letter + # ":" only ever sits *inside* an entry, so splitting on the ";" join + # separator still re-joins to the original (the ";" is genuinely a boundary): + assert ";".join(win_env["PYTHONPATH"].split(";")) == win_env["PYTHONPATH"] + # Where the two platforms pick different separators (a POSIX host), the joined + # result is demonstrably different -- so the decision is real, not cosmetic: + if os.name == "posix": + assert win_env["PYTHONPATH"] != host_env["PYTHONPATH"] + assert win_env["OPENARC_WORKER_MODEL"] == "mymodel" + + +def test_supervisor_spawn_command_is_identical_across_platforms() -> None: + """The argv is `sys.executable -c "..."` on both platforms (the only + platform-specific part of the spawn is the *flags*, which are added + separately at the create_subprocess_exec call site) -- so the command itself + must not differ.""" + win_cmd = WorkerSupervisor("m", platform=ps.WINDOWS)._build_command() + posix_cmd = WorkerSupervisor("m", platform=ps.POSIX)._build_command() + assert win_cmd == posix_cmd + assert win_cmd[0:2] == [__import__("sys").executable, "-c"] + + +def test_supervisor_uses_injected_platform() -> None: + sup = WorkerSupervisor("m", platform=ps.WINDOWS) + assert sup._platform is ps.WINDOWS + assert sup._platform.name == "windows" + + +# -- the worker's stderr redirect fails open (never crashes the worker) ------------------- + + +class _FakeStream: + def __init__(self, name: str) -> None: + self._name = name + self.closed = False + + def close(self) -> None: + self.closed = True + + +def test_redirect_stderr_is_best_effort_when_open_fails( + monkeypatch: "pytest.MonkeyPatch", tmp_path: Path +) -> None: + """If the log file/dir can't be opened (a real hazard on a restricted + Windows install / read-only share), the redirect must FAIL OPEN: return + False, not raise, and leave sys.stderr untouched -- so a bad log target can + never take the worker down. We simulate the os.open failure directly + (monkeypatched on the module's `os`, so no real fd 2 is touched).""" + from src.engine.worker import worker_process as wp + + def _raise_open(path, *a, **k): + raise PermissionError("read-only log directory") + + fake_prev = _FakeStream("inherited-pipe") + monkeypatch.setattr(wp.os, "open", _raise_open) + monkeypatch.setattr(wp.sys, "stderr", fake_prev, raising=False) + result = _redirect_stderr_to(str(tmp_path / "openarc-worker-x.log")) + assert result is False + # sys.stderr must be the inherited stream, untouched (still usable, so the + # worker keeps running; the supervisor simply forwards nothing from it). + assert wp.sys.stderr is fake_prev + assert fake_prev.closed is False + + +def test_redirect_stderr_happy_path_rebuilds_stderr( + monkeypatch: "pytest.MonkeyPatch", tmp_path: Path +) -> None: + """The happy path: open the file, dup2 it onto fd 2 (then close the spare fd), + rebuild sys.stderr on it (closefd=False so it isn't GC-closed twice), and + close the inherited stderr. We stub os.open/os.dup2/os.close/os.fdopen so the + test touches NO real descriptor -- only the control flow (order + result) is + asserted; a real redirect exercising fd 2 is covered end-to-end by the + worker respawn integration test.""" + from src.engine.worker import worker_process as wp + + events: list = [] + monkeypatch.setattr( + wp.os, "open", lambda path, *a, **k: events.append(("open", path)) or 99 + ) + monkeypatch.setattr( + wp.os, "dup2", lambda fd, two: events.append(("dup2", fd, two)) + ) + monkeypatch.setattr(wp.os, "close", lambda fd: events.append(("close", fd))) + monkeypatch.setattr( + wp.os, "fdopen", lambda fd, *a, **k: events.append(("fdopen", fd)) or _FakeStream(f"fd{fd}") + ) + fake_prev = _FakeStream("inherited-pipe") + monkeypatch.setattr(wp.sys, "stderr", fake_prev, raising=False) + + assert _redirect_stderr_to(str(tmp_path / "openarc-worker-x.log")) is True + # order: open the file first, dup2 it onto fd 2, then close the spare fd, + # then build the new sys.stderr out of (a private dup of) fd 2. + assert events[0][0] == "open" + assert ("dup2", 99, 2) in events + assert ("close", 99) in events + assert events[-1][0] == "fdopen" + # the inherited (pipe) stderr is closed so its write end can't be GC'd twice. + assert fake_prev.closed is True From 72eb4f899d46aa213ab329e3edfc7bdb5a9ecf90 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Tue, 6 Oct 2026 00:27:36 +0200 Subject: [PATCH 14/16] [#178] Windows test utilities in util/pwsh and github workflow Powershell scripts to runtests via ssh on a windows host (or VM). The ssh connection must be set up so that a prepared venv is activated with the OpenArc dependencies and the work folder is mapped into the VM or setup via samba if working with a real remote host - and the CWD must be set to this mapped directory when ssh is executed. --- .github/workflows/windows-worker-tests.yml | 139 +++++++++++++++++++++ util/pwsh/killleft.ps1 | 19 +++ util/pwsh/poll.ps1 | 54 ++++++++ util/pwsh/readlogs.ps1 | 43 +++++++ util/pwsh/run-windows-tests.ps1 | 21 ++++ util/pwsh/status.ps1 | 56 +++++++++ 6 files changed, 332 insertions(+) create mode 100644 .github/workflows/windows-worker-tests.yml create mode 100644 util/pwsh/killleft.ps1 create mode 100644 util/pwsh/poll.ps1 create mode 100644 util/pwsh/readlogs.ps1 create mode 100644 util/pwsh/run-windows-tests.ps1 create mode 100644 util/pwsh/status.ps1 diff --git a/.github/workflows/windows-worker-tests.yml b/.github/workflows/windows-worker-tests.yml new file mode 100644 index 00000000..1bf06fc9 --- /dev/null +++ b/.github/workflows/windows-worker-tests.yml @@ -0,0 +1,139 @@ +# Windows worker tests -- the "how do we test Windows from a Linux box" answer. +# +# This project has no local Windows environment, but the worker's Windows +# behaviour is split in src/engine/worker/platform_support.py into a host- +# independent DECISION and one host-specific EXECUTION: +# +# * The DECISION (which platform, hide the per-worker console, ";"-joined +# PYTHONPATH, TerminateProcess) is pure and is asserted for BOTH platforms on +# any machine by tests/unit/test_worker_platform_unit.py -- which already runs +# in the normal ubuntu `Run Tests` job (it is under tests/unit). So the Windows +# *decision* is already covered on Linux. +# +# * The one thing Linux genuinely cannot do is the EXECUTION: resolve the +# description into a real subprocess STARTUPINFO / STARTF_USESHOWWINDOW / +# CREATE_NO_WINDOW and actually spawn the child with it. That runs HERE, on a +# real windows-latest host. +# +# SCOPE -- why this job does NOT run the whole tests/unit suite +# ---------------------------------------------------------------- +# A previous version ran `pytest tests/unit` in its entirety, which pulled in the +# ~30 model/engine tests that need real downloaded model files, network, GPUs, or +# Linux-only behaviour -- they fail on a fresh windows-latest runner for reasons +# that have nothing to do with the worker, so that (correctly) painted the job red. +# Instead this job runs ONLY the worker, and in two steps for maximum signal from a +# single (manual, inconvenient) run: +# +# step 1 the PURE worker tests (platform-decision + protocol + log-file) -- +# no model / OpenVINO / GPU / network. These validate the Windows +# *decisions* and are guaranteed to run on any host, so a green here +# is unambiguous proof the seam is right. +# step 2 the REAL-SPAWN end to end (the stub-lifecycle tests spawn an actual +# python.exe child) + the win32-gated integration test -- run with +# `if: always()`, so it executes even if step 1 tripped, and any failure +# is the meaningful one: does the worker actually work on Windows? +# (Needs the OpenVINO/torch deps only where a test imports them; the +# stub lifecycle itself sets OPENARC_WORKER_STUB=1, so no model files.) +# +# It is `workflow_dispatch`-only on purpose (NOT on push/pull_request): uv sync +# --frozen installs the full project (it is proven to succeed on windows-latest -- +# step "Sync dependencies" passed) but the broader suite is not yet Windows-ready, +# so this opt-in job must not gate normal CI. +name: Windows Worker Tests + +on: + workflow_dispatch: {} + +jobs: + windows-worker: + name: Worker Windows path (manual) + runs-on: windows-latest + steps: + - name: Checkout code + uses: actions/checkout@v4 + + - name: Install uv and Python + uses: astral-sh/setup-uv@v5 + with: + # Automatically installs the Python version specified in your pyproject.toml + enable-cache: true + + - name: Sync dependencies + run: | + uv sync --frozen + uv sync --group test --frozen + + - name: Worker platform / protocol tests (pure, cross-platform) + # No model / OpenVINO / GPU / network: these assert the Windows + # *decisions* (hidden console, ';' PYTHONPATH, TerminateProcess) and the + # host-independent protocol/log-file behaviour. Guaranteed to run on any + # host, so a pass here is a clean signal the seam is correct on Windows. + run: | + uv run pytest -W ignore -rs -v ` + tests/unit/test_worker_platform_unit.py ` + tests/unit/test_worker_protocol_unit.py ` + tests/unit/test_worker_plain_protocol_unit.py ` + tests/unit/test_worker_log_file_unit.py + + - name: Worker spawn end-to-end + Windows-only assertions + # `if: always()` so this runs even if the previous step tripped. This is + # the part that truly needs Windows: the stub-lifecycle tests spawn a real + # python.exe child (auto-covering the Windows spawn/terminate), and the + # integration test asserts the spawn asked for a hidden console. -rs + # shows the skip reasons; -v so any real failure is easy to read. + # + # A worker redirects its FULL logging + native C-level stderr into its OWN + # per-model log file -- the supervisor drains the worker's stderr and + # forwards nothing to the main log (see test_worker_log_file_unit.py). So + # on a fresh runner the worker's real output is invisible unless we point + # that file at the checkout. Set OPENARC_LOG_FILE (a relative path -> the + # worker file lands beside it in /openarc-logs/) so the next + # step can lift it out; pre-create that dir so the best-effort redirect + # (which makedirs's it) definitely succeeds. + env: + OPENARC_LOG_FILE: openarc-logs/openarc.log + if: always() + run: | + echo "Worker logs will land in: $env:OPENARC_LOG_FILE" + New-Item -ItemType Directory -Force -Path openarc-logs | Out-Null + uv run pytest -W ignore -rs -v ` + tests/unit/test_remote_vlm_worker_unit.py ` + tests/unit/test_worker_plain_unit.py ` + tests/integration/test_worker_windows_integration.py + + - name: Collect per-worker logs into an artifact + # The whole point of OPENARC_LOG_FILE above: surface what the worker + # ACTUALLY wrote -- its full logging and any native C-level stderr -- so a + # 30s load timeout or a startup crash on Windows is no longer invisible. + # (The supervisor drains the worker's stderr and forwards nothing, so this + # per-worker file is the only place its real output lands.) If no worker + # file was produced at all -- e.g. the spawn never even got far enough to + # log -- there is nothing to upload and the upload is a harmless no-op. + if: always() + shell: pwsh + run: | + echo "Capturing per-worker log files (the worker's real output, not the main log) ..." + New-Item -ItemType Directory -Force -Path "$env:GITHUB_WORKSPACE/_worker_logs" | Out-Null + Get-ChildItem -Recurse -Force -Path $env:GITHUB_WORKSPACE ` + -Filter *.log -ErrorAction SilentlyContinue | ForEach-Object { + if ($_.FullName -notlike '*_worker_logs*') { + Copy-Item -LiteralPath $_.FullName ` + -Destination "$env:GITHUB_WORKSPACE/_worker_logs/" -Force -ErrorAction SilentlyContinue + } + } + $found = @(Get-ChildItem -Path "$env:GITHUB_WORKSPACE/_worker_logs" ` + -Filter *.log -ErrorAction SilentlyContinue) + echo "Captured $($found.Count) worker log file(s):" + $found | ForEach-Object { " {0} ({1} bytes)" -f $_.Name, $_.Length } + + - name: Upload per-worker logs to a build artifact + # Downloadable from the run's Artifacts tab: the next time a worker fails + # to load on Windows, the real cause (an import/redirect failure, or an + # IPC/loop problem) is right here instead of being discarded. + if: always() + uses: actions/upload-artifact@v4 + with: + name: openarc-worker-logs + path: ${{ github.workspace }}/_worker_logs/*.log + if-no-files-found: ignore + retention-days: 3 diff --git a/util/pwsh/killleft.ps1 b/util/pwsh/killleft.ps1 new file mode 100644 index 00000000..0771ac3e --- /dev/null +++ b/util/pwsh/killleft.ps1 @@ -0,0 +1,19 @@ +# killleft.ps1 - terminate any leftover run-windows-tests.ps1 / its pytest + worker_process +# children (matched by 'run-windows-tests.ps1 / no:cacheprovider / worker_process' in their +# command line) left running after a foreground run whose client-side channel timed out. +# Safe to run: a normal run uses the same tokens, so call this to clean up a BROKEN run +# BEFORE starting a fresh one, not during a healthy one. +$ErrorActionPreference = "Continue" +$pat = 'run-windows-tests\.ps1|no:cacheprovider|worker_process' +$strays = Get-CimInstance Win32_Process -ErrorAction SilentlyContinue | + Where-Object { $_.CommandLine -match $pat } +if (-not $strays) { Write-Output "no stray run-windows-tests / pytest / worker processes"; return } +"$($strays.Count) stray process(es) found; killing:" +foreach ($p in $strays) { + " pid=$($p.ProcessId) $p.Name" + try { Stop-Process -Id $p.ProcessId -Force -ErrorAction Stop } catch { " (kill failed: $($_.Exception.Message))" } +} +Start-Sleep -Milliseconds 500 +$after = Get-CimInstance Win32_Process -ErrorAction SilentlyContinue | + Where-Object { $_.CommandLine -match $pat } +if (-not $after) { Write-Output "clean" } else { Write-Output "STILL $($after.Count) after" } diff --git a/util/pwsh/poll.ps1 b/util/pwsh/poll.ps1 new file mode 100644 index 00000000..60b57486 --- /dev/null +++ b/util/pwsh/poll.ps1 @@ -0,0 +1,54 @@ +# poll.ps1 - read the output of a detached run-windows-tests.ps1 -Launch. +# Usage: poll.ps1 -Newest (or -Run YYYYMMDD-HHmmss) +# Not meant to gate anything; just surface progress / results. 5.1-safe. +[CmdletBinding()] +param( + [switch]$Newest, + [string]$Run +) +$ErrorActionPreference = "Continue" +$base = Join-Path $env:TEMP "openarc-logs" +if ($Run) { + $dir = Join-Path $base ("run-$Run") +} else { + $hit = Get-ChildItem $base -Filter 'run-*' -Directory -ErrorAction SilentlyContinue | + Sort-Object Name | Select-Object -Last 1 + $dir = $hit.FullName +} +if (-not $dir -or -not (Test-Path $dir)) { + Write-Output "NO RUN DIR for run=$Run newest=$Newest under $base" + exit 1 +} +Write-Output "run dir : $dir" +$out = Join-Path $dir "stdout.log" +$err = Join-Path $dir "stderr.log" +$done = $false +if (Test-Path $out) { + $txt = Get-Content $out -Raw -ErrorAction SilentlyContinue + if ($txt -match 'RUNNER-FINISHED') { $done = $true } +} +Write-Output "DONE : $done" +Write-Output "================ stdout.log ================" +if (Test-Path $out) { + Get-Content $out -Raw -ErrorAction SilentlyContinue +} else { + Write-Output "(stdout.log not present yet)" +} +Write-Output "================ worker .cap log(s) ========" +$caps = Get-ChildItem $dir -Filter '*.cap' -ErrorAction SilentlyContinue +if (-not $caps) { + Write-Output "(no worker .cap yet -- worker may not have opened its log, or run still going)" +} else { + foreach ($c in $caps) { + Write-Output "----- $c.name ($($c.Length) bytes) -----" + Get-Content $c.FullName -Raw -ErrorAction SilentlyContinue + } +} +Write-Output "================ stderr.log ================" +if (Test-Path $err) { + $et = Get-Content $err -Raw -ErrorAction SilentlyContinue + if (([string]$et).Trim()) { $et } else { Write-Output "(empty)" } +} else { + Write-Output "(stderr.log not present yet)" +} +Write-Output "============================================" diff --git a/util/pwsh/readlogs.ps1 b/util/pwsh/readlogs.ps1 new file mode 100644 index 00000000..939df85f --- /dev/null +++ b/util/pwsh/readlogs.ps1 @@ -0,0 +1,43 @@ +# readlogs.ps1 - dump the per-model worker log(s) from the LAST run, so a load +# timeout's cause is visible. The worker writes its own log DIRECTLY (bypassing the +# launching shell's buffering), so it persists on disk after the run even though the +# supervisor drains the worker pipe and forwards nothing to the main log. +# Robust/idiomatic pipeline form (Get-ChildItem | Sort-Object | ForEach-Object) so it +# works identically under Windows PowerShell 5.1 and 7. Prints a file in full if it is +# small, otherwise head+tail. +param([string]$Dir = "$env:TEMP\openarc-logs", [int]$LargeMin = 16000) +$ErrorActionPreference = "Continue" +"logs dir : $Dir" + +$logs = Get-ChildItem $Dir -Filter '*.log' -ErrorAction SilentlyContinue | Sort-Object Name +if (-not $logs) { + Write-Output " (no *.log in dir -- run may not have written a worker log / may have been cleared)" +} +foreach ($f in $logs) { + Write-Output "" + Write-Output "==================================================================" + Write-Output "----- $($f.Name) ($($f.Length) bytes) $($f.LastWriteTime.ToString('HH:mm:ss')) -----" + Write-Output "==================================================================" + if ($f.Length -lt $LargeMin) { + Get-Content $f.FullName -Raw -ErrorAction SilentlyContinue + } else { + Write-Output "----- HEAD -------------------" + Get-Content $f.FullName -TotalCount 25 -ErrorAction SilentlyContinue | ForEach-Object { $_ } + Write-Output "----- TAIL (last 25 lines) -----" + Get-Content $f.FullName -Tail 25 -ErrorAction SilentlyContinue | ForEach-Object { $_ } + } +} + +Write-Output "" +Write-Output "===== worker process(es) still alive =====" +$alive = Get-CimInstance Win32_Process -ErrorAction SilentlyContinue | + Where-Object { $_.CommandLine -match 'worker_process|OPENARC_WORKER' } +if (-not $alive) { + Write-Output " (none) -- no worker child still running" +} else { + foreach ($p in $alive) { + $cl = $p.CommandLine + if ($cl.Length -gt 130) { $cl = $cl.Substring(0,130) } + Write-Output " LIVE pid=$($p.ProcessId) $p.Name :: $cl" + } +} diff --git a/util/pwsh/run-windows-tests.ps1 b/util/pwsh/run-windows-tests.ps1 new file mode 100644 index 00000000..f4b9dc40 --- /dev/null +++ b/util/pwsh/run-windows-tests.ps1 @@ -0,0 +1,21 @@ +# run-windows-tests.ps1 +# Run from the repo toplevel: pwsh -File util/pwsh/run-windows-tests.ps1 (add -CollectOnly to only collect) +# Runs ONLY the 3 worker-subprocess tests from the last commit, streaming pytest to ssh output. +# -p no:cacheprovider keeps pytest from writing a .pytest_cache into the read-only W: mirror. +# -o addopts= / -o testpaths= clear the project's own config, because once pytest-asyncio is +# installed it makes pytest sweep the whole tests/ tree even when you name 3 files (34 -> 791, +# then a 300s time-out); clearing the two project keys lets the explicit files scope collection. +[CmdletBinding()] +param( + [switch]$CollectOnly +) +$tests = @( + 'tests/unit/test_worker_platform_unit.py', + 'tests/unit/test_worker_log_file_unit.py', + 'tests/integration/test_worker_windows_integration.py::test_stub_vlm_worker_full_lifecycle_on_windows' +) +#$margs = @('-m', 'pytest', '-o', 'addopts=', '-o', 'testpaths=', '-p', 'no:cacheprovider', '-v') + $tests +$margs = @('-m', 'pytest', '-p', 'no:cacheprovider', '-v') + $tests +if ($CollectOnly) { $margs += '--co' } +& python @margs +"pytest exit = $LASTEXITCODE" diff --git a/util/pwsh/status.ps1 b/util/pwsh/status.ps1 new file mode 100644 index 00000000..7d50e9a0 --- /dev/null +++ b/util/pwsh/status.ps1 @@ -0,0 +1,56 @@ +# status.ps1 - live status of the newest detached run-windows-tests.ps1 run. +# Shows process liveness, the (worker-written) per-run log files, stdout.log tail, +# and DONE state. 5.1-safe; invoked via -File so nothing is shell-quoting-fragile. +[CmdletBinding()] +param([int]$MaxTail=50) +$ErrorActionPreference = "Continue" +$base = Join-Path $env:TEMP "openarc-logs" +$hit = Get-ChildItem $base -Filter 'run-*' -Directory -ErrorAction SilentlyContinue | + Sort-Object Name | Select-Object -Last 1 +if (-not $hit) { Write-Output "no run dirs under $base"; exit 1 } +$dir = $hit.FullName +Write-Output "NEWEST RUN DIR: $dir" +Write-Output "" +Write-Output "= processes = (looking for our runner + worker children)" +$procs = Get-CimInstance Win32_Process -ErrorAction SilentlyContinue | + Where-Object { $_.CommandLine -match 'run-windows-tests|worker_process|pytest|openarc' } +if (-not $procs) { + Write-Output " (none) -- no runner/worker process currently alive" +} else { + foreach ($p in $procs) { + $cl = $p.CommandLine + if ($cl.Length -gt 160) { $cl = $cl.Substring(0,160) } + Write-Output (" pid={0,-6} {1,-14} :: {2}" -f $p.ProcessId, $p.Name, $cl) + } +} +Write-Output "" +Write-Output "= all files under base (recursive) = " +Get-ChildItem $base -Recurse -Force -ErrorAction SilentlyContinue | + ForEach-Object { (" {0,-60} {1,8} {2}" -f $_.FullName, $_.Length, $_.LastWriteTime) } +Write-Output "" +# The worker writes its OWN log here directly (not via the launcher's redirection), +# so these show progress even while the launcher's stdout is still buffered. +Write-Output "= live worker-written *.log in this run dir = " +$wlogs = Get-ChildItem $dir -Filter '*.log' -NotRecurse -ErrorAction SilentlyContinue +if (-not $wlogs) { Write-Output " (none -- worker has not opened a log yet)" } else { + foreach ($w in $wlogs) { + Write-Output "----- $($w.Name) ($($w.Length) bytes) -----" + $c = Get-Content $w.FullName -Tail $MaxTail -ErrorAction SilentlyContinue + if ($c) { $c | ForEach-Object { $_ } } else { " (empty file)" } + } +} +Write-Output "" +Write-Output "= stdout.log tail (buffered: only appears once the run finishes) = " +$out = Join-Path $dir "stdout.log" +$done = $false +if (Test-Path $out) { + $raw = Get-Content $out -Raw -ErrorAction SilentlyContinue + if ($raw -match 'RUNNER-FINISHED') { $done = $true } + $lines = @($raw -split "`r?`n") + $n = $lines.Count + $s = if ($n -gt $MaxTail) { $n - $MaxTail } else { 0 } + Write-Output (" (stdout.log has {0} lines; DONE={1})" -f $n, $done) + for ($i=$s; $i -lt $n; $i++) { $lines[$i] } +} else { + Write-Output " (stdout.log not created; launcher may have failed to start)" +} From 95990c13fb975553020a437b84e686e902ae9a92 Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Tue, 6 Oct 2026 17:45:37 +0200 Subject: [PATCH 15/16] [#178] Fix tool call parser not configured and not required issue. --- src/server/routes/openai.py | 22 ++++++++++++++++++--- tests/unit/test_tool_call_parser_unit.py | 25 +++++++++++++++++++++++- 2 files changed, 43 insertions(+), 4 deletions(-) diff --git a/src/server/routes/openai.py b/src/server/routes/openai.py index 0863199a..b6474f06 100644 --- a/src/server/routes/openai.py +++ b/src/server/routes/openai.py @@ -245,10 +245,26 @@ async def openai_chat_completions( tool_parser_name = parser_enum.value if parser_enum else None break + # A tool_call_parser is only *truly required* when the client *mandates* a + # tool call (tool_choice == "required", or a named/dict selector). An agent + # (e.g. goose) attaches its whole tool catalogue to *every* request, even a + # plain "Hi", so keying the error on the mere presence of `tools` made any + # un-parser'd model unusable for such clients. Per the OpenAI contract a + # `tools` array is a permissive offer: a missing parser is a hard error only + # when a tool call is mandatory (tool_choice forced); for auto/none it + # degrades to plain text (select_streamer -> ChunkStreamer). + tool_choice_mandated = ( + request.tool_choice == "required" or isinstance(request.tool_choice, dict) + ) if tool_parser_name is None and request.tools: - raise ValueError( - f"Model '{request.model}' has no tool_call_parser configured; " - "set one under load_config in config.yaml (tool_call_parser: qwen35|hermes|gemma4|museglimmer')" + if tool_choice_mandated: + raise ValueError( + f"Model '{request.model}' has no tool_call_parser configured; " + "set one under load_config in config.yaml (tool_call_parser: qwen35|hermes|gemma4|museglimmer')" + ) + logger.info( + f"[{request.model}] tools offered but no tool_call_parser registered; " + f"serving as plain text -- tool calls will not be parsed for this model" ) parser_module = _TOOL_PARSERS.get(tool_parser_name) if tool_parser_name else None diff --git a/tests/unit/test_tool_call_parser_unit.py b/tests/unit/test_tool_call_parser_unit.py index 51556548..326a73c2 100644 --- a/tests/unit/test_tool_call_parser_unit.py +++ b/tests/unit/test_tool_call_parser_unit.py @@ -750,7 +750,9 @@ def __init__(self, tokenizer, gen_config): ) -# ---- unset tool_call_parser ---- +# ---- unset tool_call_parser: a missing parser is only an error when the +# client actually *mandates* a tool call (tool_choice "required", or a +# named function selector); merely offering one is served as plain text ---- @pytest.mark.asyncio @@ -766,6 +768,7 @@ async def generate(self, model_name: str, generation_config: Any) -> Dict[str, A model="demo-model", messages=[{"role": "user", "content": "Hi"}], tools=QWEN_TOOLS, + tool_choice="required", stream=False, ) @@ -1460,3 +1463,23 @@ async def infer_cancel(self, request_id: str) -> None: assert names == ["get_weather"] assert json.loads(args) == {"city": "Warsaw"} assert payloads[-1]["choices"][0]["finish_reason"] == "tool_calls" + +# A request that only *offers* tools (tool_choice left default = "none" is not +# a mandate, so a missing parser must not 400; the request is served as plain +# text. (Complement to the required/dict arm already tested above.) +@pytest.mark.asyncio +async def test_offered_tools_are_served_without_parameter(monkeypatch): + class _Workers: + async def generate(self, a, b): + return {"text": "An answer.", "metrics": {"input_token": 2, "new_token": 3, "total_token": 5}} + monkeypatch.setattr(openai_routes, "_workers", _Workers()) + monkeypatch.setattr(openai_routes, "_registry", _FakeRegistry(None)) + request = OpenAIChatCompletionRequest( + model="demo-model", + messages=[{"role": "user", "content": "Hi"}], + tools=QWEN_TOOLS, + stream=False, + ) + response = await openai_routes.openai_chat_completions(request, _DummyRequest()) + assert response["choices"][0]["finish_reason"] == "stop" + assert response["choices"][0]["message"]["content"].startswith("An answer.") From 4675e47c4ad4140ff0fa7668354ae316d40ef80f Mon Sep 17 00:00:00 2001 From: Eckhard Lehmann Date: Tue, 6 Oct 2026 22:12:03 +0200 Subject: [PATCH 16/16] [#178] Fixed Ctrl-C shutdown exception from asyncio, when subprocess was not properly terminated. --- src/server/main.py | 9 +++ src/server/model_registry.py | 141 ++++++++++++++++++++++++++++++++++- 2 files changed, 148 insertions(+), 2 deletions(-) diff --git a/src/server/main.py b/src/server/main.py index e5d1b2cc..c48eb210 100644 --- a/src/server/main.py +++ b/src/server/main.py @@ -92,6 +92,15 @@ async def lifespan(app: FastAPI): yield + # Graceful shutdown: close every supervised worker's subprocess transport while + # the event loop is still running (see ModelRegistry.shutdown). Without this a + # Ctrl-C stop is loud -- a still-open transport is only freed by GC after the + # loop is closed, printing "Exception ignored ... RuntimeError: Event loop is + # closed". transport.close() is platform-agnostic, so this is the same fix for + # POSIX and Windows, which is why the reported traceback is identical on both. + await _registry.shutdown() + logger.info("OpenArc shutting down") + app = FastAPI(lifespan=lifespan) diff --git a/src/server/model_registry.py b/src/server/model_registry.py index 7da77e78..3a4defcd 100644 --- a/src/server/model_registry.py +++ b/src/server/model_registry.py @@ -96,6 +96,19 @@ def __init__(self): # Event subscribers self._on_loaded: List[Callable[[ModelRecord], Awaitable[None]]] = [] self._on_unloaded: List[Callable[[ModelRecord], Awaitable[None]]] = [] + # Whether a full registry teardown (shut down on Ctrl-C) is running: makes + # shutdown() idempotent and stops a late register_load or a re-entrant + # register_unload (some facades call it inside their own unload_model) from + # resurrecting a worker that is being torn down. + self._shutting_down = False + # Tasks started by register_unload; kept so shutdown() can await the live + # ones. Pruned of completed tasks in register_unload so this stays bounded + # over a long-running server. + self._unload_tasks: List[asyncio.Task] = [] + # Per-model grace for a controlled shutdown; after it the subprocess + # transport is force-closed, so a hung worker can't strand an open pipe on + # a loop that is about to be closed. + self._shutdown_timeout: float = 10.0 def add_on_loaded(self, callback: Callable[[ModelRecord], Awaitable[None]]) -> None: self._on_loaded.append(callback) @@ -210,8 +223,10 @@ async def register_unload(self, model_name: str, administrative: bool = False) - if model_id is None: return False - # Start background unload task - asyncio.create_task(self._unload_task(model_id)) + # Start background unload task. Keep it so a full shutdown() can await + # the live ones; prune completed ones so the list stays bounded. + unload_task = asyncio.create_task(self._unload_task(model_id)) + self._unload_tasks = [t for t in self._unload_tasks if not t.done()] + [unload_task] return True async def _load_task(self, model_id: str, load_config: ModelLoadConfig) -> None: @@ -293,6 +308,128 @@ async def _unload_task(self, model_id: str) -> None: except Exception as e: logger.info(f"Error during model unload: {e}") + async def _shutdown_one(self, record: "ModelRecord") -> None: + """Tear down one model: run its ``unload_model`` (which closes the + supervised worker's subprocess transport *while the loop is alive*) and + then unconditionally release that transport, so a hung or failed unload + can never leave an open pipe for GC to close after ``loop.close()`` -- + the ``BaseSubprocessTransport.__del__`` -> ``Event loop is closed`` noise. + In-process engines have no ``_supervisor`` (a clean no-op here). + """ + instance = record.model_instance + if instance is None: + return + # Best-effort graceful ask the worker to exit, then wait for it. + unload_fn = getattr(instance, "unload_model", None) + if unload_fn is not None: + try: + result = unload_fn(self, record.model_name) + except TypeError: + try: + result = unload_fn() + except TypeError: + result = None + if inspect.isawaitable(result): + try: + await asyncio.wait_for(result, self._shutdown_timeout) + except asyncio.CancelledError: + raise # a real cancellation must propagate + except Exception as e: + logger.warning( + f"[{record.model_name}] worker unload unfinished/failed " + f"({e!r}); forcing transport close" + ) + # Whatever the outcome, force the subprocess transport closed and drain its + # pipe-reader tasks. Both are idempotent (see supervisor) -- this release + # is the actual step that keeps Ctrl-C quiet. + supervisor = getattr(instance, "_supervisor", None) + if supervisor is not None: + try: + await supervisor._await_pipe_tasks() + except asyncio.CancelledError: + raise + except Exception: + pass + try: + supervisor._close_process_streams() + except asyncio.CancelledError: + raise + except Exception: + pass + + async def shutdown(self) -> None: + """Tear down every registered worker on process exit. + + Must run on the *live* event loop (the ASGI ``lifespan`` shutdown half, + the code after ``yield`` in server/main.py). It is the single reason a + controlled Ctrl-C stop is quiet rather than spamming:: + + Exception ignored in: + ... base_subprocess.py (close) -> unix_events (write_eof) -> + base_events (call_soon -> _check_closed) + RuntimeError: Event loop is closed + + That traceback is Python's GC reaping a *still-open* subprocess pipe + transport after the loop has already been closed: on Ctrl-C nothing had + closed the transport (``supervisor.unload`` was never reached), so the + ``__del__`` does the closing -- too late. The fix is to close every + transport here, while the loop still runs. Closing a transport is + platform-agnostic, so the same call covers both POSIX + (UnixReadPipeTransport.write_eof) and Windows (the proactor / the child's + stdin write handle) -- which is exactly why the reported traceback is + identical on linux and windows. + + Idempotent: a second call is a no-op (``self._shutting_down``). + """ + if self._shutting_down: + return + + # 1) Take ownership of everything and stop further mutation, under the lock, + # so neither a late register_load nor a re-entrant register_unload can + # spawn a fresh unload task that GC the loop after we've gone. + async with self._lock: + self._shutting_down = True + snapshot = list(self._models.items()) + self._models.clear() + self._expected_models.clear() + drain: List[asyncio.Task] = [t for t in self._unload_tasks if not t.done()] + self._unload_tasks = [] + for _mid, record in snapshot: + t = record.loading_task + if t is not None and not t.done(): + t.cancel() + drain.append(t) + # 2) Let the captured background work finish, so the loop holds no callbacks + # that still reference these record objects. + for fut in drain: + try: + await fut + except asyncio.CancelledError: + raise + except Exception: + pass + # 3) Tear each model down. ``_shutdown_one`` re-reads record.model_instance, + # so a load that completed just before the cancel still has its supervisor + # (subprocess + transport) closed here. + for _mid, record in snapshot: + try: + await self._shutdown_one(record) + except asyncio.CancelledError: + raise + except Exception as e: + logger.error(f"Error shutting down model {record.model_name}: {e}") + # 4) Fire on_unloaded so the WorkerRegistry cancels its per-model queue + # worker tasks; reusing _on_model_unloaded keeps one queue-cancel path + # rather than growing a second one. + for cb in self._on_unloaded: + for _mid, record in snapshot: + try: + await cb(record) + except asyncio.CancelledError: + raise + except Exception as e: + logger.error(f"on_unloaded callback failed during shutdown: {e}") + async def status(self) -> dict: """Return registry status: total count and list of loaded models (public view).""" async with self._lock: