a698269e47
Signed-off-by: ZhengWG <zwg0606@gmail.com> Signed-off-by: Zheng Wengang <zwg0606@gmail.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
1388 lines
57 KiB
Python
1388 lines
57 KiB
Python
"""
|
|
Orchestrator for vLLM-Omni multi-stage runtime.
|
|
|
|
Runs inside a background thread with its own asyncio event loop.
|
|
Owns logical request progression across stage pools and handles
|
|
stage-to-stage transfer logic.
|
|
|
|
In distributed mode (``coordinator_pub_address`` provided), it also
|
|
owns the single :class:`OmniCoordClientForHub`, runs a
|
|
:meth:`_watch_replica_list` task that converts replica disappearances
|
|
into ``unregister_remote_replica`` control messages, and handles the
|
|
``register_remote_replica`` / ``unregister_remote_replica`` flow that
|
|
attaches / detaches head-side stage clients for headless replicas.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
import asyncio
|
|
import time as _time
|
|
from collections.abc import Awaitable, Callable
|
|
from dataclasses import dataclass, field
|
|
from typing import Any
|
|
|
|
import janus
|
|
import torch
|
|
from vllm.config import ModelConfig
|
|
from vllm.logger import init_logger
|
|
from vllm.pooling_params import PoolingParams
|
|
from vllm.sampling_params import SamplingParams
|
|
from vllm.v1.engine import EngineCoreOutputs
|
|
from vllm.v1.engine.exceptions import EngineDeadError
|
|
|
|
from vllm_omni.distributed.omni_coordinator import (
|
|
LoadBalancer,
|
|
OmniCoordClientForHub,
|
|
RandomBalancer,
|
|
ReplicaStatus,
|
|
)
|
|
from vllm_omni.engine import OmniEngineCoreRequest
|
|
from vllm_omni.engine.cfg_companion_tracker import CfgCompanionTracker
|
|
from vllm_omni.engine.messages import (
|
|
AbortRequestMessage,
|
|
AddCompanionRequestMessage,
|
|
CollectiveRPCRequestMessage,
|
|
CollectiveRPCResultMessage,
|
|
EngineQueueMessage,
|
|
ErrorMessage,
|
|
OutputMessage,
|
|
RegisterRemoteReplicaMessage,
|
|
ShutdownRequestMessage,
|
|
StageMetricsMessage,
|
|
StageSubmissionMessage,
|
|
UnregisterRemoteReplicaMessage,
|
|
)
|
|
from vllm_omni.engine.serialization import serialize_additional_information
|
|
from vllm_omni.engine.stage_pool import StagePool
|
|
from vllm_omni.outputs import OmniRequestOutput
|
|
|
|
# Factory signature for building a head-side stage client for a
|
|
# *dynamically attached* (auto-assigned) remote replica.
|
|
#
|
|
# Receives ``(stage_id, replica_id)`` and returns an awaitable yielding the
|
|
# constructed client (any type — it must satisfy the shape expected by the
|
|
# matching :class:`StagePool`, i.e. expose ``client_addresses["input_address"]``
|
|
# or ``request_address``, plus the usual ``add_request_async`` /
|
|
# ``get_output_async`` / ``shutdown`` surface).
|
|
RemoteReplicaFactory = Callable[[int, int], Awaitable[Any]]
|
|
|
|
logger = init_logger(__name__)
|
|
|
|
|
|
def build_engine_core_request_from_tokens(
|
|
request_id: str,
|
|
prompt: dict[str, Any],
|
|
params: SamplingParams | PoolingParams,
|
|
arrival_time: float | None = None,
|
|
model_config: ModelConfig | None = None,
|
|
resumable: bool = False,
|
|
mm_features: list | None = None,
|
|
) -> OmniEngineCoreRequest:
|
|
"""Build an OmniEngineCoreRequest directly from an OmniTokensPrompt."""
|
|
if arrival_time is None:
|
|
arrival_time = _time.time()
|
|
|
|
prompt_token_ids = prompt["prompt_token_ids"]
|
|
|
|
sampling_params = None
|
|
pooling_params = None
|
|
if isinstance(params, SamplingParams):
|
|
sampling_params = params.clone()
|
|
if sampling_params.max_tokens is None and model_config is not None:
|
|
sampling_params.max_tokens = model_config.max_model_len - len(prompt_token_ids)
|
|
else:
|
|
pooling_params = params.clone()
|
|
|
|
prompt_embeds: torch.Tensor | None = prompt.get("prompt_embeds")
|
|
additional_info_payload = serialize_additional_information(
|
|
prompt.get("additional_information"),
|
|
log_prefix=f"build_engine_core_request_from_tokens req={request_id}",
|
|
)
|
|
|
|
return OmniEngineCoreRequest(
|
|
request_id=request_id,
|
|
prompt_token_ids=prompt_token_ids,
|
|
mm_features=mm_features,
|
|
sampling_params=sampling_params,
|
|
pooling_params=pooling_params,
|
|
arrival_time=arrival_time,
|
|
lora_request=getattr(params, "lora_request", None),
|
|
cache_salt=prompt.get("cache_salt"),
|
|
data_parallel_rank=None,
|
|
prompt_embeds=prompt_embeds,
|
|
resumable=resumable,
|
|
additional_information=additional_info_payload,
|
|
)
|
|
|
|
|
|
@dataclass
|
|
class OrchestratorRequestState:
|
|
"""Per-request bookkeeping inside the Orchestrator."""
|
|
|
|
request_id: str
|
|
prompt: Any = None
|
|
sampling_params_list: list[Any] = field(default_factory=list)
|
|
final_stage_id: int = -1
|
|
|
|
# Metrics: timestamp when request was submitted to each stage.
|
|
stage_submit_ts: dict[int, float] = field(default_factory=dict)
|
|
mm_processor_kwargs: dict | None = None
|
|
mm_features: list | None = None
|
|
pd_prefill_multimodal_output: dict[str, Any] | None = None
|
|
|
|
streaming: StreamingInputState = field(default_factory=lambda: StreamingInputState())
|
|
|
|
# Per-request pipeline timing accumulator (milliseconds)
|
|
pipeline_timings: dict[str, float] = field(default_factory=dict)
|
|
|
|
|
|
@dataclass
|
|
class StreamingInputState:
|
|
# Flag of streaming input request
|
|
enabled: bool = False
|
|
# Flag of segment of streaming input finished
|
|
segment_finished: bool = False
|
|
# Streaming update prompt length
|
|
new_prompt_len_snapshot: int | None = None
|
|
# Model/bridge-specific runtime states (e.g., thinker->talker)
|
|
bridge_states: dict[str, Any] = field(default_factory=dict)
|
|
|
|
|
|
class Orchestrator:
|
|
"""Runs inside a background thread's asyncio event loop."""
|
|
|
|
# Cadence at which the replica-list watcher polls for disappearances.
|
|
_WATCH_REPLICA_INTERVAL_S: float = 0.5
|
|
_WATCH_REPLICA_IDLE_INTERVAL_S: float = 1.0
|
|
|
|
def __init__(
|
|
self,
|
|
request_async_queue: janus.AsyncQueue[EngineQueueMessage],
|
|
output_async_queue: janus.AsyncQueue[dict[str, Any]],
|
|
rpc_async_queue: janus.AsyncQueue[dict[str, Any]],
|
|
stage_pools: list[StagePool],
|
|
*,
|
|
async_chunk: bool = False,
|
|
pd_config: dict[str, Any] | None = None,
|
|
coordinator_pub_address: str | None = None,
|
|
load_balancer_factory: Callable[[], LoadBalancer] | None = None,
|
|
remote_replica_factory: RemoteReplicaFactory | None = None,
|
|
) -> None:
|
|
self.request_async_queue = request_async_queue
|
|
self.output_async_queue = output_async_queue
|
|
self.rpc_async_queue = rpc_async_queue
|
|
|
|
self.async_chunk = bool(async_chunk)
|
|
self.num_stages = len(stage_pools)
|
|
self.stage_pools: list[StagePool] = stage_pools
|
|
|
|
# PD disaggregation state
|
|
self._pd_pair: tuple[int, int] | None = None
|
|
self._pd_bootstrap_addr: str | None = None
|
|
self._pd_prefill_engine_id: str | None = None
|
|
self._pd_kv_params: dict[str, Any] = {}
|
|
if pd_config is not None:
|
|
self._pd_pair = pd_config.get("pd_pair")
|
|
self._pd_bootstrap_addr = pd_config.get("bootstrap_addr")
|
|
self._pd_prefill_engine_id = pd_config.get("prefill_engine_id")
|
|
self.request_states: dict[str, OrchestratorRequestState] = {}
|
|
self._cfg_tracker = CfgCompanionTracker()
|
|
|
|
self._shutdown_event = asyncio.Event()
|
|
self._stages_shutdown = False
|
|
self._fatal_error: str | None = None
|
|
self._fatal_error_stage_id: int | None = None
|
|
|
|
# Background tasks for fire-and-forget message handlers (currently
|
|
# only ``register_remote_replica`` and ``unregister_remote_replica``).
|
|
# Held as a set so each task's reference survives the loop and the
|
|
# task can self-deregister on completion.
|
|
self._membership_tasks: set[asyncio.Task[None]] = set()
|
|
|
|
# Distributed-mode wiring. The hub is constructed on the
|
|
# orchestrator's asyncio loop because it spawns a SUB background
|
|
# thread; building it from another thread would race the
|
|
# ``_init_done`` event.
|
|
self._hub: OmniCoordClientForHub | None = (
|
|
OmniCoordClientForHub(coordinator_pub_address) if coordinator_pub_address is not None else None
|
|
)
|
|
self._remote_replica_factory = remote_replica_factory
|
|
# Inject hub + per-pool LB into each StagePool so they can run
|
|
# distributed dispatch via ``StagePool.pick``.
|
|
if self._hub is not None:
|
|
factory = load_balancer_factory or RandomBalancer
|
|
for pool in self.stage_pools:
|
|
pool.attach_hub(self._hub)
|
|
pool.attach_load_balancer(factory())
|
|
|
|
async def run(self) -> None:
|
|
"""Main entry point for the Orchestrator event loop."""
|
|
logger.info("[Orchestrator] Starting event loop")
|
|
|
|
request_task = asyncio.create_task(self._request_handler(), name="orchestrator-request-handler")
|
|
output_task = asyncio.create_task(
|
|
self._orchestration_output_handler(),
|
|
name="orchestrator-stage-output-handler",
|
|
)
|
|
# The replica watcher only runs in distributed mode. It's still
|
|
# created in both cases so ``run()`` has a uniform task graph;
|
|
# ``_watch_replica_list`` is a no-op poll when ``self._hub`` is None.
|
|
watch_task = asyncio.create_task(
|
|
self._watch_replica_list(),
|
|
name="orchestrator-replica-watcher",
|
|
)
|
|
|
|
try:
|
|
await asyncio.gather(request_task, output_task, watch_task)
|
|
except asyncio.CancelledError:
|
|
raise
|
|
except EngineDeadError as e:
|
|
# EngineDeadError from _orchestration_loop means the diffusion
|
|
# engine died. All pending requests were already notified and
|
|
# _shutdown_event was already set by the loop's handler.
|
|
# During teardown this is expected; the finally block handles
|
|
# proper cleanup. Do not re-raise.
|
|
logger.info("[Orchestrator] Engine dead during shutdown: %s", e)
|
|
except Exception:
|
|
logger.exception("[Orchestrator] Fatal error in orchestrator tasks")
|
|
raise
|
|
finally:
|
|
self._shutdown_event.set()
|
|
for task in (request_task, output_task, watch_task):
|
|
if not task.done():
|
|
task.cancel()
|
|
try:
|
|
await asyncio.gather(request_task, output_task, watch_task, return_exceptions=True)
|
|
except Exception:
|
|
pass
|
|
|
|
# If a fatal error caused the shutdown, drain any pending
|
|
# add_request messages that were never processed and broadcast
|
|
# fatal error responses so callers are not left hanging.
|
|
if self._fatal_error is not None:
|
|
await self._drain_pending_requests_on_fatal()
|
|
|
|
# Wait briefly for any in-flight membership handlers (register /
|
|
# unregister remote replica) to finish so they don't leave the
|
|
# head-side pool in a half-attached state. Cancel anything that
|
|
# hasn't completed in time; the generic pending-task sweep below
|
|
# will collect the cancellations.
|
|
if self._membership_tasks:
|
|
try:
|
|
await asyncio.wait_for(
|
|
asyncio.gather(*self._membership_tasks, return_exceptions=True),
|
|
timeout=10.0,
|
|
)
|
|
except (asyncio.TimeoutError, Exception):
|
|
for t in self._membership_tasks:
|
|
if not t.done():
|
|
t.cancel()
|
|
|
|
self._shutdown_stages()
|
|
|
|
# Close the hub last so any in-flight dispatch still has access.
|
|
if self._hub is not None:
|
|
try:
|
|
self._hub.close()
|
|
except RuntimeError:
|
|
pass
|
|
self._hub = None
|
|
|
|
loop = asyncio.get_running_loop()
|
|
pending = [t for t in asyncio.all_tasks(loop) if t is not asyncio.current_task() and not t.done()]
|
|
for task in pending:
|
|
task.cancel()
|
|
if pending:
|
|
await asyncio.gather(*pending, return_exceptions=True)
|
|
|
|
# ---- Background task helpers ----
|
|
|
|
def _spawn_membership_task(self, coro: Awaitable[None], *, label: str) -> None:
|
|
"""Run a fire-and-forget membership-change coroutine.
|
|
|
|
Holds a strong reference until completion (asyncio would otherwise
|
|
garbage-collect a bare task), and logs any uncaught exception.
|
|
"""
|
|
task = asyncio.create_task(coro, name=f"orchestrator-{label}")
|
|
self._membership_tasks.add(task)
|
|
|
|
def _on_done(t: asyncio.Task[None]) -> None:
|
|
self._membership_tasks.discard(t)
|
|
if t.cancelled():
|
|
return
|
|
exc = t.exception()
|
|
if exc is not None:
|
|
logger.error("[Orchestrator] %s task crashed", label, exc_info=exc)
|
|
|
|
task.add_done_callback(_on_done)
|
|
|
|
# ---- Request handling ----
|
|
|
|
async def _request_handler(self) -> None:
|
|
"""Read messages from the main thread via request_async_queue."""
|
|
while True:
|
|
msg = await self.request_async_queue.get()
|
|
msg_type = msg.type
|
|
|
|
if msg_type == "add_request":
|
|
await self._handle_add_request(msg)
|
|
elif msg_type == "streaming_update":
|
|
await self._handle_streaming_update(msg)
|
|
elif msg_type == "add_companion_request":
|
|
await self._handle_add_companion(msg)
|
|
elif msg_type == "abort":
|
|
await self._handle_abort(msg)
|
|
elif msg_type == "collective_rpc":
|
|
await self._handle_collective_rpc(msg)
|
|
elif isinstance(msg, RegisterRemoteReplicaMessage):
|
|
# Dynamic-attach involves a ~5s blocking handshake (run in a
|
|
# thread by ``_build_remote_replica``); ``await`` here would
|
|
# block the queue and stall the next ``add_request`` until
|
|
# the attach finishes. Dispatch as a background task so the
|
|
# main message loop keeps draining.
|
|
self._spawn_membership_task(self._handle_register_remote_replica(msg), label="register_remote_replica")
|
|
elif isinstance(msg, UnregisterRemoteReplicaMessage):
|
|
# Symmetric with register: keep the main queue flowing.
|
|
self._spawn_membership_task(
|
|
self._handle_unregister_remote_replica(msg),
|
|
label="unregister_remote_replica",
|
|
)
|
|
elif isinstance(msg, ShutdownRequestMessage):
|
|
logger.info("[Orchestrator] Received shutdown signal")
|
|
self._shutdown_event.set()
|
|
# Pre-mark stage clients as shutting down to prevent
|
|
# proc_monitor daemon threads from flagging normal
|
|
# process exit as EngineDeadError during teardown.
|
|
for pool in self.stage_pools:
|
|
for client in pool.clients:
|
|
if hasattr(client, "_shutting_down"):
|
|
client._shutting_down = True
|
|
self._shutdown_stages()
|
|
break
|
|
else:
|
|
logger.warning("[Orchestrator] Unknown message type: %s", msg_type)
|
|
|
|
async def _handle_add_request(self, msg: StageSubmissionMessage) -> None:
|
|
"""Handle an add_request message from the main thread."""
|
|
stage_id = 0
|
|
request_id = msg.request_id
|
|
prompt = msg.prompt
|
|
original_prompt = msg.original_prompt
|
|
sampling_params_list = msg.sampling_params_list
|
|
if not sampling_params_list:
|
|
raise ValueError(f"Missing sampling params for stage 0. Got {len(sampling_params_list)} stage params.")
|
|
final_stage_id = msg.final_stage_id
|
|
|
|
logger.debug(
|
|
"[Orchestrator] _handle_add_request: stage=%s req=%s "
|
|
"prompt_type=%s original_prompt_type=%s final_stage=%s "
|
|
"num_sampling_params=%d",
|
|
stage_id,
|
|
request_id,
|
|
type(prompt).__name__,
|
|
type(original_prompt).__name__,
|
|
final_stage_id,
|
|
len(sampling_params_list),
|
|
)
|
|
|
|
req_state = OrchestratorRequestState(
|
|
request_id=request_id,
|
|
prompt=original_prompt,
|
|
sampling_params_list=sampling_params_list,
|
|
final_stage_id=final_stage_id,
|
|
mm_features=getattr(prompt, "mm_features", None),
|
|
)
|
|
self.request_states[request_id] = req_state
|
|
req_state.streaming.enabled = bool(getattr(prompt, "resumable", False))
|
|
req_state.stage_submit_ts[stage_id] = _time.time()
|
|
enqueue_ts = msg.enqueue_ts
|
|
if enqueue_ts > 0:
|
|
req_state.pipeline_timings["queue_wait_ms"] = (_time.perf_counter() - enqueue_ts) * 1000.0
|
|
preprocess_ms = msg.preprocess_ms
|
|
if preprocess_ms > 0:
|
|
req_state.pipeline_timings["preprocess_ms"] = preprocess_ms
|
|
await self.stage_pools[stage_id].submit_initial(
|
|
request_id,
|
|
req_state,
|
|
prompt,
|
|
prompt_text=msg.output_prompt_text,
|
|
)
|
|
|
|
if self.async_chunk and stage_id == 0 and final_stage_id > 0:
|
|
await self._prewarm_async_chunk_stages(request_id, prompt, req_state)
|
|
|
|
async def _handle_streaming_update(self, msg: StageSubmissionMessage) -> None:
|
|
"""Handle a streaming_update message for an existing request."""
|
|
stage_id = 0
|
|
request_id = msg.request_id
|
|
request = msg.prompt
|
|
|
|
req_state = self.request_states.get(request_id)
|
|
if req_state is None:
|
|
logger.warning(
|
|
"[Orchestrator] streaming_update for unknown req=%s, falling back to add_request",
|
|
request_id,
|
|
)
|
|
fallback_msg = StageSubmissionMessage(
|
|
type="add_request",
|
|
request_id=msg.request_id,
|
|
prompt=msg.prompt,
|
|
original_prompt=msg.original_prompt,
|
|
output_prompt_text=msg.output_prompt_text,
|
|
sampling_params_list=msg.sampling_params_list,
|
|
final_stage_id=msg.final_stage_id,
|
|
preprocess_ms=msg.preprocess_ms,
|
|
enqueue_ts=msg.enqueue_ts,
|
|
)
|
|
await self._handle_add_request(fallback_msg)
|
|
return
|
|
|
|
if msg.sampling_params_list:
|
|
req_state.sampling_params_list = msg.sampling_params_list
|
|
|
|
req_state.streaming.enabled = True
|
|
req_state.stage_submit_ts[stage_id] = _time.time()
|
|
await self.stage_pools[stage_id].submit_update(
|
|
request_id,
|
|
req_state,
|
|
request,
|
|
prompt_text=msg.output_prompt_text,
|
|
)
|
|
|
|
async def _handle_add_companion(self, msg: AddCompanionRequestMessage) -> None:
|
|
"""Handle an add_companion_request message: submit companion to stage 0."""
|
|
companion_id = msg.companion_id
|
|
parent_id = msg.parent_id
|
|
role = msg.role
|
|
companion_prompt = msg.prompt
|
|
sampling_params_list = msg.sampling_params_list
|
|
|
|
parent_state = self.request_states.get(parent_id)
|
|
if parent_state is None:
|
|
logger.info(
|
|
"[Orchestrator] Dropping CFG companion %s (role=%s): parent %s is no longer active",
|
|
companion_id,
|
|
role,
|
|
parent_id,
|
|
)
|
|
return
|
|
|
|
self._cfg_tracker.register_companion(parent_id, role, companion_id)
|
|
|
|
companion_state = OrchestratorRequestState(
|
|
request_id=companion_id,
|
|
prompt=companion_prompt,
|
|
sampling_params_list=sampling_params_list,
|
|
final_stage_id=0,
|
|
)
|
|
self.request_states[companion_id] = companion_state
|
|
companion_state.stage_submit_ts[0] = _time.time()
|
|
companion_replica_id = await self.stage_pools[0].submit_initial(
|
|
companion_id,
|
|
companion_state,
|
|
companion_prompt,
|
|
prompt_text=msg.companion_prompt_text,
|
|
affinity_request_id=parent_id,
|
|
)
|
|
|
|
logger.info(
|
|
"[Orchestrator] CFG companion submitted: %s (role=%s, parent=%s, stage-0 replica-%s)",
|
|
companion_id,
|
|
role,
|
|
parent_id,
|
|
companion_replica_id,
|
|
)
|
|
|
|
async def _handle_abort(self, msg: AbortRequestMessage) -> None:
|
|
"""Handle an abort message from the main thread."""
|
|
request_ids = msg.request_ids
|
|
await self._cleanup_request_ids(
|
|
self._cfg_tracker.abort_parents(request_ids),
|
|
abort=True,
|
|
)
|
|
logger.info("[Orchestrator] Aborted request(s) %s", request_ids)
|
|
|
|
async def _abort_request_ids(self, request_ids: list[str]) -> None:
|
|
"""Forward abort requests to all stage pools."""
|
|
if not request_ids:
|
|
return
|
|
for pool in self.stage_pools:
|
|
await pool.abort_requests(request_ids)
|
|
|
|
def _release_request_bindings(self, request_ids: list[str]) -> None:
|
|
"""Release all stage-local route bindings for the given request ids."""
|
|
for pool in self.stage_pools:
|
|
pool.release_bindings(request_ids)
|
|
|
|
async def _handle_collective_rpc(self, msg: CollectiveRPCRequestMessage) -> None:
|
|
"""Handle a control-plane RPC request from the main thread."""
|
|
rpc_id = msg.rpc_id
|
|
method = msg.method
|
|
timeout = msg.timeout
|
|
args = tuple(msg.args)
|
|
kwargs = dict(msg.kwargs or {})
|
|
requested_stage_ids = msg.stage_ids
|
|
|
|
target_pools: list[StagePool] = []
|
|
if requested_stage_ids is None:
|
|
target_pools.extend(self.stage_pools)
|
|
else:
|
|
for lid in requested_stage_ids:
|
|
if not (0 <= lid < self.num_stages):
|
|
logger.warning("[Orchestrator] collective_rpc: ignoring invalid stage_id %s", lid)
|
|
continue
|
|
target_pools.append(self.stage_pools[lid])
|
|
|
|
results: list[Any] = []
|
|
stage_ids: list[int] = []
|
|
for pool in target_pools:
|
|
for replica_id in pool.live_replica_ids():
|
|
stage_result = await pool.collective_rpc(
|
|
replica_id=replica_id,
|
|
method=method,
|
|
timeout=timeout,
|
|
args=args,
|
|
kwargs=kwargs,
|
|
)
|
|
stage_ids.append(pool.stage_id)
|
|
results.append(stage_result)
|
|
|
|
await self.rpc_async_queue.put(
|
|
CollectiveRPCResultMessage(
|
|
rpc_id=rpc_id,
|
|
method=method,
|
|
stage_ids=stage_ids,
|
|
results=results,
|
|
)
|
|
)
|
|
|
|
# ---- Orchestration loop ----
|
|
|
|
async def _orchestration_output_handler(self) -> None:
|
|
"""Poll all stages, handle transfers, send final outputs to main."""
|
|
try:
|
|
await self._orchestration_loop()
|
|
except asyncio.CancelledError:
|
|
logger.debug("[Orchestrator] _orchestration_output_handler cancelled")
|
|
return
|
|
|
|
async def _orchestration_loop(self) -> None:
|
|
"""Poll stage pools and route logical outputs."""
|
|
while not self._shutdown_event.is_set():
|
|
idle = True
|
|
for stage_id in range(self.num_stages):
|
|
pool = self.stage_pools[stage_id]
|
|
for replica_id in pool.live_replica_ids():
|
|
if self._shutdown_event.is_set():
|
|
return
|
|
|
|
if pool.stage_type == "diffusion":
|
|
output = pool.poll_diffusion_output(replica_id)
|
|
if output is None:
|
|
continue
|
|
|
|
await self._handle_processed_outputs(stage_id, replica_id, [output])
|
|
idle = False
|
|
else:
|
|
try:
|
|
raw_outputs = await pool.poll_llm_raw_output(replica_id, timeout_s=0.001)
|
|
if raw_outputs is None:
|
|
continue
|
|
|
|
await self._handle_kv_ready_raw_outputs(stage_id, raw_outputs)
|
|
for eco in raw_outputs.outputs:
|
|
req_state = self.request_states.get(getattr(eco, "request_id", None))
|
|
if req_state is None:
|
|
continue
|
|
req_state.streaming.segment_finished = bool(getattr(eco, "is_segment_finished", False))
|
|
req_state.streaming.new_prompt_len_snapshot = getattr(
|
|
eco,
|
|
"new_prompt_len_snapshot",
|
|
None,
|
|
)
|
|
raw_output = await pool.process_llm_raw_outputs(replica_id, raw_outputs)
|
|
except asyncio.CancelledError:
|
|
raise
|
|
except EngineDeadError as e:
|
|
logger.error(
|
|
"[Orchestrator] Stage-%s is dead: %s",
|
|
stage_id,
|
|
e,
|
|
)
|
|
# TODO: Fault handling is intentionally fail-stop at
|
|
# the orchestrator level today. If one replica in a
|
|
# logical stage dies, we promote it to `_fatal_error`,
|
|
# notify requests already admitted to that stage, and
|
|
# re-raise so `run()` shuts down all stages. This is
|
|
# conservative but means a single unhealthy replica in
|
|
# a multi-replica deployment can take down otherwise
|
|
# healthy replicas in other stages. Revisit this when
|
|
# adding per-replica fault isolation / eviction.
|
|
self._fatal_error = str(e)
|
|
self._fatal_error_stage_id = stage_id
|
|
for req_id, req_state in list(self.request_states.items()):
|
|
if stage_id in req_state.stage_submit_ts:
|
|
await self.output_async_queue.put(
|
|
ErrorMessage(
|
|
error=str(e),
|
|
fatal=True,
|
|
request_id=req_id,
|
|
stage_id=stage_id,
|
|
)
|
|
)
|
|
self.request_states.pop(req_id, None)
|
|
self._shutdown_event.set()
|
|
raise
|
|
except Exception:
|
|
if self._shutdown_event.is_set():
|
|
return
|
|
logger.exception(
|
|
"[Orchestrator] Stage-%s replica-%s processing failed",
|
|
stage_id,
|
|
replica_id,
|
|
)
|
|
raise
|
|
|
|
await self._handle_processed_outputs(stage_id, replica_id, raw_output)
|
|
idle = False
|
|
|
|
if idle:
|
|
await asyncio.sleep(0.001)
|
|
else:
|
|
await asyncio.sleep(0)
|
|
|
|
async def _handle_processed_outputs(self, stage_id: int, replica_id: int, outputs: list[Any]) -> None:
|
|
"""Route processed stage outputs produced by one stage poll."""
|
|
pool = self.stage_pools[stage_id]
|
|
for output in outputs:
|
|
req_state = self.request_states.get(output.request_id)
|
|
if req_state is None:
|
|
logger.warning(
|
|
"[Orchestrator] Dropping output for unknown req %s at stage-%s (known reqs: %s)",
|
|
output.request_id,
|
|
stage_id,
|
|
list(self.request_states.keys()),
|
|
)
|
|
continue
|
|
|
|
if getattr(output, "error", None) is not None:
|
|
await self._handle_stage_error(stage_id, output)
|
|
continue
|
|
|
|
stage_metrics = None
|
|
if output.finished:
|
|
stage_metrics = pool.build_stage_metrics(
|
|
[output],
|
|
submit_ts=req_state.stage_submit_ts.get(stage_id, _time.time()),
|
|
replica_id=replica_id,
|
|
)
|
|
stage_metrics.pipeline_timings = dict(req_state.pipeline_timings)
|
|
|
|
await self._route_output(stage_id, output, req_state, stage_metrics)
|
|
|
|
async def _handle_stage_error(self, stage_id: int, output: Any) -> None:
|
|
"""Emit a frontend-visible error and clean up request state."""
|
|
if self._cfg_tracker.is_companion(output.request_id):
|
|
parent_id = self._cfg_tracker.get_parent_id(output.request_id) or output.request_id
|
|
else:
|
|
parent_id = output.request_id
|
|
await self.output_async_queue.put(
|
|
ErrorMessage(
|
|
request_id=parent_id,
|
|
stage_id=stage_id,
|
|
error=output.error,
|
|
)
|
|
)
|
|
await self._cleanup_request_ids(
|
|
[parent_id, *self._cfg_tracker.cleanup_parent(parent_id)],
|
|
abort=True,
|
|
)
|
|
|
|
# ---- Shared helpers ----
|
|
|
|
async def _cleanup_request_ids(self, request_ids: list[str], *, abort: bool = False) -> None:
|
|
"""Release pool bindings and logical request state for the given ids."""
|
|
if not request_ids:
|
|
return
|
|
|
|
if abort:
|
|
await self._abort_request_ids(request_ids)
|
|
self._release_request_bindings(request_ids)
|
|
for request_id in request_ids:
|
|
self._pd_kv_params.pop(request_id, None)
|
|
self.request_states.pop(request_id, None)
|
|
|
|
def _maybe_clone_diffusion_params_for_cfg(self, request_id: str, params: Any) -> Any:
|
|
"""Attach CFG companion ids to diffusion sampling params when needed."""
|
|
companion_request_ids = self._cfg_tracker.get_companion_request_ids(request_id)
|
|
if not companion_request_ids:
|
|
return params
|
|
|
|
import copy
|
|
|
|
from vllm_omni.inputs.data import OmniDiffusionSamplingParams
|
|
|
|
if not isinstance(params, OmniDiffusionSamplingParams):
|
|
return params
|
|
|
|
params = copy.deepcopy(params)
|
|
params.cfg_kv_request_ids = companion_request_ids
|
|
return params
|
|
|
|
async def _route_output(
|
|
self,
|
|
stage_id: int,
|
|
output: Any,
|
|
req_state: OrchestratorRequestState,
|
|
stage_metrics: Any,
|
|
) -> None:
|
|
"""Route a processed output: send to frontend and/or forward."""
|
|
req_id = output.request_id
|
|
finished = output.finished
|
|
submit_ts = req_state.stage_submit_ts.get(stage_id)
|
|
|
|
# CFG companion: stash output so parent can bundle [parent, *companions]
|
|
# into source_outputs for the bridge (e.g. thinker2imagegen).
|
|
if finished and self._cfg_tracker.is_companion(req_id):
|
|
self._cfg_tracker.set_companion_output(req_id, output)
|
|
await self._handle_cfg_companion_ready(req_id)
|
|
await self._cleanup_request_ids([req_id])
|
|
return
|
|
|
|
if self.stage_pools[stage_id].final_output:
|
|
await self.output_async_queue.put(
|
|
OutputMessage(
|
|
request_id=req_id,
|
|
stage_id=stage_id,
|
|
engine_outputs=output,
|
|
metrics=stage_metrics,
|
|
finished=finished and stage_id == req_state.final_stage_id,
|
|
stage_submit_ts=submit_ts,
|
|
)
|
|
)
|
|
elif stage_metrics is not None:
|
|
await self.output_async_queue.put(
|
|
StageMetricsMessage(
|
|
request_id=req_id,
|
|
stage_id=stage_id,
|
|
metrics=stage_metrics,
|
|
stage_submit_ts=submit_ts,
|
|
)
|
|
)
|
|
|
|
if self._pd_pair is not None and finished and stage_id == self._pd_pair[0]:
|
|
kv_params = getattr(output, "kv_transfer_params", None)
|
|
if kv_params is not None:
|
|
self._pd_kv_params[req_id] = kv_params if isinstance(kv_params, dict) else dict(kv_params)
|
|
req_state.pd_prefill_multimodal_output = getattr(output, "multimodal_output", None)
|
|
|
|
if (
|
|
(finished or (req_state.streaming.enabled and req_state.streaming.segment_finished))
|
|
and stage_id < req_state.final_stage_id
|
|
and not self.async_chunk
|
|
and (not self._next_stage_already_submitted(stage_id, req_state) or req_state.streaming.enabled)
|
|
):
|
|
if (
|
|
finished
|
|
and self._cfg_tracker.has_companions(req_id)
|
|
and not self._cfg_tracker.all_companions_done(req_id)
|
|
):
|
|
self._cfg_tracker.defer_parent(req_id, output, stage_id)
|
|
else:
|
|
await self._forward_to_next_stage(
|
|
req_id,
|
|
stage_id,
|
|
output,
|
|
req_state,
|
|
is_streaming_session=req_state.streaming.enabled,
|
|
is_final_update=False,
|
|
)
|
|
if req_state.streaming.enabled and finished:
|
|
# For streaming sessions, send the terminal (resumable=False) update only on a finish
|
|
await self._forward_to_next_stage(
|
|
req_id,
|
|
stage_id,
|
|
output,
|
|
req_state,
|
|
is_streaming_session=True,
|
|
is_final_update=True,
|
|
)
|
|
|
|
if finished and stage_id == req_state.final_stage_id:
|
|
await self._cleanup_request_ids([req_id, *self._cfg_tracker.cleanup_parent(req_id)])
|
|
|
|
def _next_stage_already_submitted(self, stage_id: int, req_state: OrchestratorRequestState) -> bool:
|
|
return (stage_id + 1) in req_state.stage_submit_ts
|
|
|
|
async def _handle_cfg_companion_ready(self, req_id: str) -> None:
|
|
"""Mark a CFG companion as done; if all companions are done, flush deferred parent."""
|
|
parent_id = self._cfg_tracker.on_companion_completed(req_id)
|
|
if parent_id is None:
|
|
return
|
|
|
|
deferred = self._cfg_tracker.pop_pending_parent(parent_id)
|
|
if deferred is None:
|
|
return
|
|
|
|
parent_state = self.request_states.get(parent_id)
|
|
if parent_state is None:
|
|
return
|
|
|
|
stage_id = deferred["stage_id"]
|
|
if (stage_id + 1) in parent_state.stage_submit_ts:
|
|
return
|
|
|
|
await self._forward_to_next_stage(
|
|
parent_id,
|
|
stage_id,
|
|
deferred["engine_outputs"],
|
|
parent_state,
|
|
)
|
|
|
|
async def _handle_kv_ready_raw_outputs(
|
|
self,
|
|
stage_id: int,
|
|
raw_outputs: EngineCoreOutputs,
|
|
) -> None:
|
|
"""Forward split requests once stage-0 KV is ready."""
|
|
if self.async_chunk:
|
|
return
|
|
|
|
for raw_output in raw_outputs.outputs:
|
|
kv_params = getattr(raw_output, "kv_transfer_params", None)
|
|
if not (isinstance(kv_params, dict) and kv_params.get("kv_ready")):
|
|
continue
|
|
|
|
req_id = raw_output.request_id
|
|
req_state = self.request_states.get(req_id)
|
|
if req_state is None:
|
|
continue
|
|
if self._cfg_tracker.is_companion(req_id):
|
|
await self._handle_cfg_companion_ready(req_id)
|
|
continue
|
|
if stage_id >= req_state.final_stage_id:
|
|
continue
|
|
if (stage_id + 1) in req_state.stage_submit_ts:
|
|
continue
|
|
|
|
if self._cfg_tracker.has_companions(req_id) and not self._cfg_tracker.all_companions_done(req_id):
|
|
self._cfg_tracker.defer_parent(req_id, raw_output, stage_id)
|
|
else:
|
|
await self._forward_to_next_stage(req_id, stage_id, raw_output, req_state)
|
|
|
|
def _build_pd_decode_params(self, req_id: str, sp: Any) -> Any:
|
|
"""Build decode-side sampling params with KV transfer params for PD routing.
|
|
|
|
Clones the sampling params and injects kv_transfer_params that tell the
|
|
decode engine where to pull the KV cache from (prefill engine's bootstrap addr).
|
|
"""
|
|
sp = sp.clone()
|
|
if sp.extra_args is None:
|
|
sp.extra_args = {}
|
|
|
|
# Get KV params captured from the prefill output (must include remote_request_id).
|
|
kv_prefill_params = self._pd_kv_params.pop(req_id, None)
|
|
if not kv_prefill_params or "remote_request_id" not in kv_prefill_params:
|
|
raise RuntimeError(
|
|
f"[Orchestrator][PD] Missing prefill kv_transfer_params.remote_request_id for req={req_id}"
|
|
)
|
|
|
|
decode_kv_params: dict[str, Any] = {
|
|
"transfer_id": f"xfer-{req_id}",
|
|
}
|
|
|
|
if self._pd_bootstrap_addr:
|
|
decode_kv_params["remote_bootstrap_addr"] = self._pd_bootstrap_addr
|
|
|
|
if self._pd_prefill_engine_id:
|
|
decode_kv_params["remote_engine_id"] = self._pd_prefill_engine_id
|
|
|
|
# Overlay params from prefill side (includes remote_request_id set by monkey patch).
|
|
decode_kv_params.update(kv_prefill_params)
|
|
|
|
# Ensure these flags are set correctly after any overlay.
|
|
decode_kv_params["do_remote_prefill"] = True
|
|
decode_kv_params["do_remote_decode"] = False
|
|
if not decode_kv_params.get("transfer_id"):
|
|
decode_kv_params["transfer_id"] = f"xfer-{req_id}"
|
|
|
|
sp.extra_args["kv_transfer_params"] = decode_kv_params
|
|
|
|
logger.debug(
|
|
"[Orchestrator][PD] decode kv_transfer_params for req=%s: %s",
|
|
req_id,
|
|
decode_kv_params,
|
|
)
|
|
return sp
|
|
|
|
async def _forward_to_next_stage(
|
|
self,
|
|
req_id: str,
|
|
src_stage_id: int,
|
|
output: Any,
|
|
req_state: OrchestratorRequestState,
|
|
*,
|
|
is_streaming_session: bool = False,
|
|
is_final_update: bool = False,
|
|
) -> None:
|
|
"""Forward output from the current logical stage to the next one."""
|
|
next_logical = src_stage_id + 1
|
|
next_pool = self.stage_pools[next_logical]
|
|
next_client = next_pool.stage_client
|
|
params = req_state.sampling_params_list[next_logical]
|
|
source_outputs = [output]
|
|
next_stage_resumable = is_streaming_session and not is_final_update
|
|
already_submitted = self._next_stage_already_submitted(src_stage_id, req_state)
|
|
requires_multimodal_data = getattr(next_client, "requires_multimodal_data", False)
|
|
|
|
if next_pool.stage_type == "diffusion":
|
|
companion_outputs = self._cfg_tracker.pop_companion_outputs(req_id)
|
|
expected = len(self._cfg_tracker.get_companion_request_ids(req_id))
|
|
if expected > len(companion_outputs):
|
|
logger.warning(
|
|
"[Orchestrator] req=%s: only %d/%d CFG companion outputs arrived; "
|
|
"downstream CFG conditioning may degrade",
|
|
req_id,
|
|
len(companion_outputs),
|
|
expected,
|
|
)
|
|
diffusion_source_outputs = [output, *companion_outputs]
|
|
if next_client.custom_process_input_func is not None:
|
|
_t_ar2d = _time.perf_counter()
|
|
_fn = next_client.custom_process_input_func
|
|
_extra_kwargs: dict[str, Any] = {}
|
|
# TODO: replace signature probe with explicit kwarg contract.
|
|
try:
|
|
import inspect as _inspect
|
|
|
|
if "sampling_params" in _inspect.signature(_fn).parameters:
|
|
_extra_kwargs["sampling_params"] = params
|
|
except (TypeError, ValueError):
|
|
pass
|
|
diffusion_prompt = _fn(
|
|
diffusion_source_outputs,
|
|
req_state.prompt,
|
|
requires_multimodal_data,
|
|
**_extra_kwargs,
|
|
)
|
|
_dt_ar2d = (_time.perf_counter() - _t_ar2d) * 1000
|
|
req_state.pipeline_timings["ar2diffusion_ms"] = _dt_ar2d
|
|
logger.info(
|
|
"[Orchestrator] ar2diffusion req=%s wall_time=%.3fms stage=%d->%d",
|
|
req_id,
|
|
_dt_ar2d,
|
|
src_stage_id,
|
|
next_logical,
|
|
)
|
|
if isinstance(diffusion_prompt, list):
|
|
if not diffusion_prompt:
|
|
error_output = OmniRequestOutput.from_error(
|
|
req_id,
|
|
f"Stage-{src_stage_id} produced no valid inputs for diffusion stage-{next_logical}",
|
|
)
|
|
logger.warning(
|
|
"[Orchestrator] req=%s stage=%d produced empty diffusion inputs for stage=%d; "
|
|
"routing terminal error output",
|
|
req_id,
|
|
src_stage_id,
|
|
next_logical,
|
|
)
|
|
await self.output_async_queue.put(
|
|
OutputMessage(
|
|
request_id=req_id,
|
|
stage_id=next_logical,
|
|
engine_outputs=error_output,
|
|
metrics=None,
|
|
finished=True,
|
|
)
|
|
)
|
|
await self._cleanup_request_ids(
|
|
[req_id, *self._cfg_tracker.cleanup_parent(req_id)],
|
|
)
|
|
return
|
|
if already_submitted and len(diffusion_prompt) == 1:
|
|
diffusion_prompt = diffusion_prompt[0]
|
|
else:
|
|
diffusion_prompt = req_state.prompt
|
|
|
|
if already_submitted:
|
|
await next_pool.submit_update(req_id, req_state, diffusion_prompt)
|
|
else:
|
|
await next_pool.submit_initial(
|
|
req_id,
|
|
req_state,
|
|
diffusion_prompt,
|
|
submit_kwargs={
|
|
"kv_sender_info": self._build_kv_sender_info(
|
|
list(getattr(next_client, "engine_input_source", None) or [src_stage_id]),
|
|
request_id=req_id,
|
|
)
|
|
},
|
|
params_override=self._maybe_clone_diffusion_params_for_cfg(req_id, params),
|
|
)
|
|
req_state.stage_submit_ts[next_logical] = _time.time()
|
|
return
|
|
|
|
# PD disaggregation: prefill → decode routing uses original prompt + KV transfer params
|
|
if self._pd_pair is not None and (src_stage_id, next_logical) == self._pd_pair:
|
|
params = self._build_pd_decode_params(req_id, params)
|
|
|
|
# Use the original user prompt for the decode stage (not processed embeddings)
|
|
original_prompt = req_state.prompt
|
|
raw_decode_inputs = [original_prompt] if not isinstance(original_prompt, list) else original_prompt
|
|
|
|
decode_inputs: list[dict[str, Any]] = []
|
|
for decode_input in raw_decode_inputs:
|
|
if isinstance(decode_input, dict):
|
|
decode_inputs.append(decode_input)
|
|
continue
|
|
prompt_token_ids = getattr(decode_input, "prompt_token_ids", None)
|
|
if prompt_token_ids is None:
|
|
raise TypeError(
|
|
"[Orchestrator][PD] decode input must be dict or have prompt_token_ids, "
|
|
f"got {type(decode_input).__name__} for req={req_id}"
|
|
)
|
|
decode_inputs.append({"prompt_token_ids": list(prompt_token_ids)})
|
|
|
|
for decode_input in decode_inputs:
|
|
request = build_engine_core_request_from_tokens(
|
|
request_id=req_id,
|
|
prompt=decode_input,
|
|
params=params,
|
|
model_config=next_pool.stage_vllm_config.model_config,
|
|
mm_features=req_state.mm_features,
|
|
resumable=next_stage_resumable,
|
|
)
|
|
request.external_req_id = request.request_id
|
|
if already_submitted:
|
|
await next_pool.submit_update(req_id, req_state, request)
|
|
else:
|
|
await next_pool.submit_initial(req_id, req_state, request, prompt_text=None)
|
|
|
|
req_state.stage_submit_ts[next_logical] = _time.time()
|
|
return
|
|
|
|
if req_state.pd_prefill_multimodal_output is not None:
|
|
req_state.streaming.bridge_states.setdefault(
|
|
"pd_prefill_multimodal_output_by_req",
|
|
{},
|
|
)[req_id] = req_state.pd_prefill_multimodal_output
|
|
|
|
try:
|
|
next_inputs = next_client.process_engine_inputs(
|
|
source_outputs,
|
|
req_state.prompt,
|
|
streaming_context=req_state.streaming,
|
|
)
|
|
except Exception:
|
|
logger.exception(
|
|
"[Orchestrator] req=%s process_engine_inputs FAILED for stage-%s",
|
|
req_id,
|
|
next_logical,
|
|
)
|
|
raise
|
|
|
|
# Build and submit requests for each input
|
|
for next_input in next_inputs:
|
|
# Only AR thinker stages consume encoder mm_features; downstream
|
|
# (talker/code2wav/…) must not see them (avoids encoder-cache misses).
|
|
model_stage = getattr(next_client, "model_stage", None)
|
|
mm_features = req_state.mm_features if model_stage == "thinker" else None
|
|
request = build_engine_core_request_from_tokens(
|
|
request_id=req_id,
|
|
prompt=next_input,
|
|
params=params,
|
|
model_config=next_pool.stage_vllm_config.model_config,
|
|
mm_features=mm_features,
|
|
resumable=next_stage_resumable,
|
|
)
|
|
|
|
request.external_req_id = request.request_id
|
|
if already_submitted:
|
|
await next_pool.submit_update(req_id, req_state, request)
|
|
else:
|
|
await next_pool.submit_initial(req_id, req_state, request, prompt_text=None)
|
|
|
|
req_state.stage_submit_ts[next_logical] = _time.time()
|
|
|
|
async def _prewarm_async_chunk_stages(
|
|
self,
|
|
request_id: str,
|
|
stage0_request: Any,
|
|
req_state: OrchestratorRequestState,
|
|
) -> None:
|
|
"""Pre-submit downstream stages for async-chunk mode."""
|
|
if req_state.final_stage_id <= 0:
|
|
return
|
|
|
|
prompt_token_ids = getattr(stage0_request, "prompt_token_ids", None)
|
|
if prompt_token_ids is None:
|
|
logger.warning(
|
|
"[Orchestrator] async_chunk prewarm skipped for req=%s: stage0 prompt_token_ids missing",
|
|
request_id,
|
|
)
|
|
return
|
|
|
|
for next_stage_id in range(1, req_state.final_stage_id + 1):
|
|
next_pool = self.stage_pools[next_stage_id]
|
|
params = req_state.sampling_params_list[next_stage_id]
|
|
|
|
req_state.stage_submit_ts[next_stage_id] = _time.time()
|
|
|
|
if next_pool.stage_type == "diffusion":
|
|
await next_pool.submit_initial(
|
|
request_id,
|
|
req_state,
|
|
req_state.prompt,
|
|
submit_kwargs={
|
|
"kv_sender_info": self._build_kv_sender_info(
|
|
list(getattr(next_pool.stage_client, "engine_input_source", None) or [next_stage_id - 1]),
|
|
request_id=request_id,
|
|
)
|
|
},
|
|
)
|
|
else:
|
|
import copy
|
|
|
|
from vllm_omni.distributed.omni_connectors.adapter import compute_talker_prompt_ids_length
|
|
|
|
try:
|
|
next_prompt_len = max(1, compute_talker_prompt_ids_length(prompt_token_ids))
|
|
except Exception:
|
|
next_prompt_len = max(1, len(prompt_token_ids))
|
|
|
|
original_prompt = req_state.prompt
|
|
if isinstance(original_prompt, dict):
|
|
base_input = copy.deepcopy(original_prompt)
|
|
else:
|
|
base_input = {}
|
|
|
|
base_input["prompt_token_ids"] = [0] * next_prompt_len
|
|
base_input["multi_modal_data"] = None
|
|
base_input["mm_processor_kwargs"] = None
|
|
|
|
request = build_engine_core_request_from_tokens(
|
|
request_id=request_id,
|
|
prompt=base_input,
|
|
params=params,
|
|
model_config=next_pool.stage_vllm_config.model_config,
|
|
)
|
|
request.external_req_id = request.request_id
|
|
await next_pool.submit_initial(request_id, req_state, request, prompt_text=None)
|
|
|
|
def _build_kv_sender_info(
|
|
self,
|
|
sender_stage_ids: list[int],
|
|
*,
|
|
request_id: str | None = None,
|
|
) -> dict[int, dict[str, Any]] | None:
|
|
"""Build per-request sender info for diffusion KV-transfer receivers."""
|
|
sender_infos: dict[int, dict[str, Any]] = {}
|
|
for sender_stage_id in dict.fromkeys(sender_stage_ids):
|
|
if sender_stage_id < 0 or sender_stage_id >= len(self.stage_pools):
|
|
continue
|
|
|
|
sender_pool = self.stage_pools[sender_stage_id]
|
|
sender_stage = sender_pool.get_bound_client(request_id) if request_id is not None else None
|
|
if sender_stage is None:
|
|
sender_stage = sender_pool.stage_client
|
|
get_sender_info = getattr(sender_stage, "get_kv_sender_info", None)
|
|
if not callable(get_sender_info):
|
|
continue
|
|
|
|
sender_info = get_sender_info()
|
|
if not sender_info:
|
|
logger.warning(
|
|
"[Orchestrator] Stage-%s has no KV sender info available",
|
|
sender_stage_id,
|
|
)
|
|
continue
|
|
|
|
sender_infos[sender_stage_id] = sender_info
|
|
|
|
return sender_infos or None
|
|
|
|
# ---- Shutdown / lifecycle ----
|
|
|
|
async def _drain_pending_requests_on_fatal(self) -> None:
|
|
"""Drain the request queue and broadcast fatal errors for any
|
|
pending add_request messages that were never processed.
|
|
|
|
Called from the ``run()`` finally block when a fatal error
|
|
(e.g. ``EngineDeadError``) caused the orchestrator to shut down
|
|
before the request handler could process all queued messages.
|
|
Also broadcasts for any already-tracked requests still in
|
|
``request_states`` that were not yet notified.
|
|
"""
|
|
assert self._fatal_error is not None
|
|
|
|
notified: set[str] = set()
|
|
|
|
# 1) Drain pending messages from the request queue.
|
|
while True:
|
|
try:
|
|
msg = self.request_async_queue.get_nowait()
|
|
except Exception:
|
|
break
|
|
if msg.type == "add_request":
|
|
req_id = msg.request_id
|
|
await self.output_async_queue.put(
|
|
ErrorMessage(
|
|
error=self._fatal_error,
|
|
fatal=True,
|
|
request_id=req_id,
|
|
stage_id=self._fatal_error_stage_id,
|
|
)
|
|
)
|
|
notified.add(req_id)
|
|
|
|
# 2) Broadcast for any tracked requests not already notified
|
|
# (e.g. request was registered but the EngineDeadError handler
|
|
# missed it because it wasn't submitted to the dead stage yet).
|
|
for req_id in list(self.request_states):
|
|
if req_id not in notified:
|
|
await self.output_async_queue.put(
|
|
ErrorMessage(
|
|
error=self._fatal_error,
|
|
fatal=True,
|
|
request_id=req_id,
|
|
stage_id=self._fatal_error_stage_id,
|
|
)
|
|
)
|
|
self.request_states.pop(req_id, None)
|
|
|
|
# ---- Distributed-mode replica attach / detach ----
|
|
|
|
async def _watch_replica_list(self) -> None:
|
|
"""Convert hub replica disappearances into unregister control messages."""
|
|
last_up: set[tuple[int, str]] = set()
|
|
while not self._shutdown_event.is_set():
|
|
if self._hub is None:
|
|
# No coordinator wired up; sleep coarsely and re-check shutdown.
|
|
try:
|
|
await asyncio.sleep(self._WATCH_REPLICA_IDLE_INTERVAL_S)
|
|
except asyncio.CancelledError:
|
|
raise
|
|
continue
|
|
|
|
try:
|
|
snap = self._hub.get_replica_list()
|
|
current = {(rep.stage_id, rep.input_addr) for rep in snap.replicas if rep.status == ReplicaStatus.UP}
|
|
for stage_id, addr in last_up - current:
|
|
await self.request_async_queue.put(
|
|
UnregisterRemoteReplicaMessage(
|
|
stage_id=stage_id,
|
|
input_addr=addr,
|
|
)
|
|
)
|
|
last_up = current
|
|
except asyncio.CancelledError:
|
|
raise
|
|
except Exception:
|
|
logger.exception("[Orchestrator] _watch_replica_list iteration failed")
|
|
|
|
try:
|
|
await asyncio.sleep(self._WATCH_REPLICA_INTERVAL_S)
|
|
except asyncio.CancelledError:
|
|
raise
|
|
|
|
async def _handle_register_remote_replica(self, msg: RegisterRemoteReplicaMessage) -> None:
|
|
"""Bind a head-side client for a newly registered remote replica."""
|
|
stage_id = int(msg.stage_id)
|
|
replica_id = int(msg.replica_id)
|
|
if not (0 <= stage_id < self.num_stages):
|
|
logger.warning(
|
|
"[Orchestrator] register_remote_replica: stage_id %d out of range (num_stages=%d)",
|
|
stage_id,
|
|
self.num_stages,
|
|
)
|
|
return
|
|
if self._remote_replica_factory is None:
|
|
logger.warning(
|
|
"[Orchestrator] register_remote_replica received for stage=%d replica=%d but no factory installed",
|
|
stage_id,
|
|
replica_id,
|
|
)
|
|
return
|
|
|
|
try:
|
|
await self._attach_remote_replica(stage_id, replica_id)
|
|
except Exception:
|
|
logger.exception(
|
|
"[Orchestrator] failed to attach remote replica stage=%d replica=%d",
|
|
stage_id,
|
|
replica_id,
|
|
)
|
|
|
|
async def _handle_unregister_remote_replica(self, msg: UnregisterRemoteReplicaMessage) -> None:
|
|
"""Tear down the head-side client for a vanished remote replica."""
|
|
stage_id = int(msg.stage_id)
|
|
input_addr = str(msg.input_addr)
|
|
if not (0 <= stage_id < self.num_stages):
|
|
return
|
|
pool = self.stage_pools[stage_id]
|
|
affected = pool.invalidate_addr(input_addr)
|
|
self._detach_remote_replica(stage_id, input_addr)
|
|
if affected:
|
|
await self._cleanup_request_ids(affected, abort=True)
|
|
for req_id in affected:
|
|
await self.output_async_queue.put(
|
|
ErrorMessage(
|
|
error="stage replica disappeared",
|
|
request_id=req_id,
|
|
stage_id=stage_id,
|
|
)
|
|
)
|
|
|
|
async def _attach_remote_replica(self, stage_id: int, replica_id: int) -> None:
|
|
"""Build a head-side stage client via the injected factory and register it."""
|
|
factory = self._remote_replica_factory
|
|
if factory is None:
|
|
return
|
|
pool = self.stage_pools[stage_id]
|
|
client = await factory(stage_id, replica_id)
|
|
input_addr = StagePool._client_input_addr(client)
|
|
if input_addr is None:
|
|
raise RuntimeError(
|
|
f"remote replica factory for stage {stage_id} produced a client without a discoverable input address"
|
|
)
|
|
pool.add_client(input_addr, client)
|
|
logger.info(
|
|
"[Orchestrator] attached remote replica stage=%d replica=%d addr=%s",
|
|
stage_id,
|
|
replica_id,
|
|
input_addr,
|
|
)
|
|
|
|
def _detach_remote_replica(self, stage_id: int, input_addr: str) -> None:
|
|
"""Shut down + remove the head-side client at ``input_addr``."""
|
|
pool = self.stage_pools[stage_id]
|
|
client = pool.remove_client(input_addr)
|
|
if client is None:
|
|
return
|
|
try:
|
|
client.shutdown()
|
|
except Exception:
|
|
logger.exception(
|
|
"[Orchestrator] failed to shutdown client for stage=%d addr=%s",
|
|
stage_id,
|
|
input_addr,
|
|
)
|
|
logger.info(
|
|
"[Orchestrator] detached remote replica stage=%d addr=%s",
|
|
stage_id,
|
|
input_addr,
|
|
)
|
|
|
|
def _shutdown_stages(self) -> None:
|
|
"""Shutdown all stage pools."""
|
|
if self._stages_shutdown:
|
|
return
|
|
|
|
self._stages_shutdown = True
|
|
total = sum(pool.live_num_replicas for pool in self.stage_pools)
|
|
logger.info("[Orchestrator] Shutting down all %d client(s)", total)
|
|
for pool in self.stage_pools:
|
|
for replica_id in pool.live_replica_ids():
|
|
pool.shutdown_replica(replica_id)
|