[Metrics] Add KV events publishing (#6098)
This commit is contained in:
@@ -25,6 +25,7 @@ runtime_common = [
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"interegular",
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"llguidance>=0.7.11,<0.8.0",
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"modelscope",
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"msgspec",
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"ninja",
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"orjson",
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"packaging",
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357
python/sglang/srt/disaggregation/kv_events.py
Normal file
357
python/sglang/srt/disaggregation/kv_events.py
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@@ -0,0 +1,357 @@
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"""
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Copyright 2025 SGLang Team
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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"""
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KV caching events
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"""
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import atexit
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import logging
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import queue
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import threading
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import time
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from abc import ABC, abstractmethod
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from collections import deque
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from itertools import count
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from queue import Queue
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from typing import Any, Callable, Optional, Union
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import msgspec
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import zmq
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from pydantic import BaseModel
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logger = logging.getLogger(__name__)
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class EventBatch(
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msgspec.Struct,
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array_like=True, # type: ignore[call-arg]
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omit_defaults=True, # type: ignore[call-arg]
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gc=False, # type: ignore[call-arg]
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):
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ts: float
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events: list[Any]
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class KVCacheEvent(
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msgspec.Struct,
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array_like=True, # type: ignore[call-arg]
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omit_defaults=True, # type: ignore[call-arg]
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gc=False, # type: ignore[call-arg]
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tag=True,
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):
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"""Base class for all KV cache-related events"""
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class BlockStored(KVCacheEvent):
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block_hashes: list[int]
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parent_block_hash: Optional[int]
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token_ids: list[int]
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block_size: int
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lora_id: Optional[int]
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class BlockRemoved(KVCacheEvent):
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block_hashes: list[int]
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class AllBlocksCleared(KVCacheEvent):
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pass
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class KVEventBatch(EventBatch):
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events: list[Union[BlockStored, BlockRemoved, AllBlocksCleared]]
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class EventPublisher(ABC):
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"""Lightweight publisher for EventBatch batches."""
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@abstractmethod
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def publish(self, events: EventBatch) -> None:
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"""Emit events in order.
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Implementations should guarantee at-least-once delivery and
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monotonic ordering (e.g., via sequence numbers).
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"""
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@abstractmethod
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def shutdown(self) -> None:
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"""Shutdown the publisher."""
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class NullEventPublisher(EventPublisher):
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"""No-op implementation (default when disabled)."""
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def publish(self, events) -> None:
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return
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def shutdown(self) -> None:
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return
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class ZmqEventPublisher(EventPublisher):
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"""Reliable PUB/ROUTER publisher with an in-memory replay buffer.
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Spawns a separate thread to handle publishing from a queue.
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Parameters
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----------
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endpoint:
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PUB address. Use ``tcp://*:5557`` to bind or ``tcp://host:5557`` to
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connect.
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replay_endpoint:
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Optional ROUTER address for replay requests. When given, subscribers can
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request missed batches by sending the starting sequence number as an
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8-byte big-endian integer.
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buffer_steps:
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Number of past batches to keep for replay.
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hwm:
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ZeroMQ high-water-mark for PUB socket.
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max_queue_size:
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Maximum number of events to buffer in memory.
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topic:
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Topic to publish events to.
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"""
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SHUTDOWN_TIMEOUT: float = 1.0
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END_SEQ = (-1).to_bytes(8, "big", signed=True)
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def __init__(
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self,
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endpoint: str = "tcp://*:5557",
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replay_endpoint: Optional[str] = None,
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buffer_steps: int = 10_000,
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hwm: int = 100_000,
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max_queue_size: int = 100_000,
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topic: str = "",
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) -> None:
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# Storage
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self._event_queue = Queue[Optional[EventBatch]](maxsize=max_queue_size)
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self._buffer = deque[tuple[int, bytes]](maxlen=buffer_steps)
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# ZMQ sockets
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self._ctx = zmq.Context.instance()
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self._pub: Optional[zmq.Socket] = None
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self._replay: Optional[zmq.Socket] = None
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self._endpoint = endpoint
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self._replay_endpoint = replay_endpoint
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self._hwm = hwm
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self._socket_setup()
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# Payload
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self._seq_gen = count()
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self._topic_bytes = topic.encode("utf-8")
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# Thread
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self._running = True
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logger.info("Starting ZMQ publisher thread")
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self._thread = threading.Thread(
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target=self._publisher_thread, daemon=True, name="zmq-publisher"
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)
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self._thread.start()
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atexit.register(self.shutdown)
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def publish(self, events: EventBatch) -> None:
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if not self._running:
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raise RuntimeError("Publisher is closed")
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self._event_queue.put(events)
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def shutdown(self) -> None:
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"""Stop the publisher thread and clean up resources."""
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self._running = False
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self._event_queue.put_nowait(None)
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start = time.time()
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pending_items = True
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while pending_items and (time.time() - start < self.SHUTDOWN_TIMEOUT):
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pending_items = not self._event_queue.empty()
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if pending_items:
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time.sleep(0.1)
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if pending_items:
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logger.warning(
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"Warning: Queue still has %s items after %s seconds timeout",
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self._event_queue.qsize(),
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self.SHUTDOWN_TIMEOUT,
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)
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if self._thread.is_alive():
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self._thread.join(timeout=self.SHUTDOWN_TIMEOUT)
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# Clean up ZMQ resources
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try:
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if self._pub is not None:
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self._pub.close(linger=0)
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if self._replay is not None:
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self._replay.close(linger=0)
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finally:
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pass # Do not terminate context; other sockets may use it
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def _socket_setup(self) -> None:
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"""Initialize sockets
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https://pyzmq.readthedocs.io/en/v19.0.0/morethanbindings.html#thread-safety
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"""
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if self._pub is None:
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self._pub = self._ctx.socket(zmq.PUB)
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self._pub.set_hwm(self._hwm)
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# Heuristic: bind if wildcard / * present, else connect.
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# bind stable, connect volatile convention
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if (
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"*" in self._endpoint
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or "::" in self._endpoint
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or self._endpoint.startswith("ipc://")
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or self._endpoint.startswith("inproc://")
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):
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self._pub.bind(self._endpoint)
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else:
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self._pub.connect(self._endpoint)
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# Set up replay socket: use ROUTER
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# 1) handles multiple REQ clients (identities)
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# 2) lets us send back one request → many replies (streamed events)
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# 3) works in our non‑blocking poll loop alongside PUB
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if self._replay_endpoint is not None:
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self._replay = self._ctx.socket(zmq.ROUTER)
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self._replay.bind(self._replay_endpoint)
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def _publisher_thread(self) -> None:
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"""Background thread that processes the event queue."""
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self._pack = msgspec.msgpack.Encoder()
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assert self._pub is not None # narrows type for mypy
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while self._running or self._event_queue.qsize() > 0:
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# --- replay (non-critical) ---------------------------------
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if self._replay is not None and self._replay.poll(0):
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try:
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self._service_replay()
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except Exception as e:
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logger.exception("Error in replay: %s", e)
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# --- main queue (critical) ---------------------------------
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try:
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event = self._event_queue.get(timeout=0.1)
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if event is None:
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break # Sentinel received, exit thread
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except queue.Empty:
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continue
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try:
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seq = next(self._seq_gen)
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payload = self._pack.encode(event)
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seq_bytes = seq.to_bytes(8, "big")
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self._pub.send_multipart((self._topic_bytes, seq_bytes, payload))
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self._buffer.append((seq, payload))
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self._event_queue.task_done()
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except Exception as e:
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# Publishing failed; back-off a bit to avoid a tight error loop
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logger.exception("Error in publisher thread: %s", e)
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time.sleep(0.1)
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def _service_replay(self) -> None:
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"""If a replay request is waiting, send buffered batches."""
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assert self._replay is not None # narrows type for mypy
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frame = self._replay.recv_multipart()
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if len(frame) != 3:
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logger.warning("Invalid replay request: %s", frame)
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return
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client_id, _, start_seq_bytes = frame
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start_seq = int.from_bytes(start_seq_bytes, "big")
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for seq, buf in self._buffer:
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if seq >= start_seq:
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# [identity, empty_delim, seq_bytes, payload]
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# (identity, empty_delim) are stripped off by the router
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# receiving payload is (seq_bytes, payload)
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self._replay.send_multipart(
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(client_id, b"", seq.to_bytes(8, "big"), buf)
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)
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# Send end of sequence marker
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# receiving payload is (-1, b""")
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self._replay.send_multipart((client_id, b"", self.END_SEQ, b""))
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class KVEventsConfig(BaseModel):
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"""Configuration for KV event publishing."""
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publisher: str = "null"
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"""The publisher to use for publishing kv events. Can be "null", "zmq".
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"""
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endpoint: str = "tcp://*:5557"
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"""The zmq endpoint to use for publishing kv events.
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"""
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replay_endpoint: Optional[str] = None
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"""The zmq endpoint to use for replaying kv events.
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"""
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buffer_steps: int = 10_000
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"""The number of steps to cache for replay endpoint. Will only save
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events from the last N steps for the replay endpoint.
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"""
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hwm: int = 100_000
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"""The zmq high water mark for the event publisher. After queueing N events,
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events will start dropping if the consumer is not keeping up.
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"""
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max_queue_size: int = 100_000
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"""The maximum number of events to queue while waiting for publishing.
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"""
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topic: str = ""
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"""The topic to use for the event publisher. Consumers can subscribe to
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this topic to receive events.
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"""
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@classmethod
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def from_cli(cls, cli_value: str) -> "KVEventsConfig":
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"""Parse the CLI value for the event publisher config."""
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return KVEventsConfig.model_validate_json(cli_value)
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class EventPublisherFactory:
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_registry: dict[str, Callable[..., EventPublisher]] = {
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"null": NullEventPublisher,
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"zmq": ZmqEventPublisher,
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}
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@classmethod
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def register_publisher(cls, name: str, ctor: Callable[..., EventPublisher]) -> None:
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if name in cls._registry:
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raise KeyError(f"publisher '{name}' already registered")
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cls._registry[name] = ctor
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@classmethod
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def create(cls, config: Optional[str]) -> EventPublisher:
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"""Create publisher from a config mapping."""
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if not config:
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return NullEventPublisher()
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config = KVEventsConfig.from_cli(config)
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config_dict = config.model_dump()
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kind = config_dict.pop("publisher", "null")
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try:
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constructor = cls._registry[kind]
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except KeyError as exc:
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raise ValueError(f"Unknown event publisher '{kind}'") from exc
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return constructor(**config_dict)
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@@ -41,6 +41,7 @@ from sglang.srt.disaggregation.decode import (
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DecodeTransferQueue,
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SchedulerDisaggregationDecodeMixin,
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)
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from sglang.srt.disaggregation.kv_events import EventPublisherFactory, KVEventBatch
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from sglang.srt.disaggregation.prefill import (
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PrefillBootstrapQueue,
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SchedulerDisaggregationPrefillMixin,
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@@ -197,6 +198,7 @@ class Scheduler(
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self.enable_overlap = not server_args.disable_overlap_schedule
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self.skip_tokenizer_init = server_args.skip_tokenizer_init
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self.enable_metrics = server_args.enable_metrics
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self.enable_kv_cache_events = server_args.kv_events_config is not None
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self.stream_interval = server_args.stream_interval
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self.spec_algorithm = SpeculativeAlgorithm.from_string(
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server_args.speculative_algorithm
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@@ -204,7 +206,6 @@ class Scheduler(
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self.gpu_id = gpu_id
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self.enable_hierarchical_cache = server_args.enable_hierarchical_cache
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self.page_size = server_args.page_size
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# Distributed rank info
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self.dp_size = server_args.dp_size
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self.attn_tp_rank, self.attn_tp_size, self.attn_dp_rank = (
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@@ -422,6 +423,7 @@ class Scheduler(
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# Init metrics stats
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self.init_metrics()
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self.init_kv_events(server_args.kv_events_config)
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# Init request dispatcher
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self._request_dispatcher = TypeBasedDispatcher(
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@@ -515,6 +517,7 @@ class Scheduler(
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token_to_kv_pool_allocator=self.token_to_kv_pool_allocator,
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page_size=self.page_size,
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disable=server_args.disable_radix_cache,
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enable_kv_cache_events=self.enable_kv_cache_events,
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)
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self.decode_mem_cache_buf_multiplier = (
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@@ -547,6 +550,10 @@ class Scheduler(
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},
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)
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def init_kv_events(self, kv_events_config: Optional[str]):
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if self.enable_kv_cache_events:
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self.kv_event_publisher = EventPublisherFactory.create(kv_events_config)
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def init_disaggregation(self):
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self.transfer_backend = TransferBackend(
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self.server_args.disaggregation_transfer_backend
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@@ -1154,6 +1161,7 @@ class Scheduler(
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self.stats.avg_request_queue_latency = total_queue_latency / num_new_seq
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self.metrics_collector.log_stats(self.stats)
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self._publish_kv_events()
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def log_decode_stats(
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self, can_run_cuda_graph: bool, running_batch: ScheduleBatch = None
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@@ -1213,6 +1221,7 @@ class Scheduler(
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self.stats.num_grammar_queue_reqs = len(self.grammar_queue)
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self.stats.spec_accept_length = spec_accept_length
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self.metrics_collector.log_stats(self.stats)
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self._publish_kv_events()
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def check_memory(self):
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available_size = (
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@@ -1260,6 +1269,7 @@ class Scheduler(
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self.stats.num_queue_reqs = len(self.waiting_queue)
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self.stats.num_grammar_queue_reqs = len(self.grammar_queue)
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self.metrics_collector.log_stats(self.stats)
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self._publish_kv_events()
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def get_next_batch_to_run(self) -> Optional[ScheduleBatch]:
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# Merge the prefill batch into the running batch
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@@ -2194,6 +2204,13 @@ class Scheduler(
|
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prefix += f" PP{self.pp_rank}"
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return prefix
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def _publish_kv_events(self):
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if self.enable_kv_cache_events:
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events = self.tree_cache.take_events()
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if events:
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batch = KVEventBatch(ts=time.time(), events=events)
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self.kv_event_publisher.publish(batch)
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|
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def is_health_check_generate_req(recv_req):
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return getattr(recv_req, "rid", "").startswith("HEALTH_CHECK")
|
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|
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@@ -48,3 +48,6 @@ class BasePrefixCache(ABC):
|
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|
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def pretty_print(self):
|
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raise NotImplementedError()
|
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|
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def take_events(self):
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return []
|
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|
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@@ -27,6 +27,12 @@ from typing import TYPE_CHECKING, List, Optional, Tuple
|
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|
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import torch
|
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|
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from sglang.srt.disaggregation.kv_events import (
|
||||
AllBlocksCleared,
|
||||
BlockRemoved,
|
||||
BlockStored,
|
||||
KVCacheEvent,
|
||||
)
|
||||
from sglang.srt.managers.schedule_batch import global_server_args_dict
|
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from sglang.srt.mem_cache.base_prefix_cache import BasePrefixCache
|
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from sglang.srt.mem_cache.memory_pool import ReqToTokenPool, TokenToKVPoolAllocator
|
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@@ -96,11 +102,14 @@ class RadixCache(BasePrefixCache):
|
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token_to_kv_pool_allocator: TokenToKVPoolAllocator,
|
||||
page_size: int,
|
||||
disable: bool = False,
|
||||
enable_kv_cache_events: bool = False,
|
||||
):
|
||||
self.req_to_token_pool = req_to_token_pool
|
||||
self.token_to_kv_pool_allocator = token_to_kv_pool_allocator
|
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self.page_size = page_size
|
||||
self.disable = disable
|
||||
self.enable_kv_cache_events = enable_kv_cache_events
|
||||
self.kv_event_queue = []
|
||||
|
||||
if self.token_to_kv_pool_allocator:
|
||||
self.device = self.token_to_kv_pool_allocator.device
|
||||
@@ -124,6 +133,7 @@ class RadixCache(BasePrefixCache):
|
||||
self.root_node.lock_ref = 1
|
||||
self.evictable_size_ = 0
|
||||
self.protected_size_ = 0
|
||||
self._record_all_cleared_event()
|
||||
|
||||
def match_prefix(self, key: List[int], **kwargs) -> Tuple[torch.Tensor, int]:
|
||||
"""Find the matching prefix from the radix tree.
|
||||
@@ -273,6 +283,8 @@ class RadixCache(BasePrefixCache):
|
||||
if len(x.parent.children) == 0:
|
||||
heapq.heappush(leaves, x.parent)
|
||||
|
||||
self._record_remove_event(x)
|
||||
|
||||
def inc_lock_ref(self, node: TreeNode):
|
||||
if self.disable:
|
||||
return 0
|
||||
@@ -348,6 +360,7 @@ class RadixCache(BasePrefixCache):
|
||||
|
||||
def _split_node(self, key, child: TreeNode, split_len: int):
|
||||
# new_node -> child
|
||||
self._record_remove_event(child)
|
||||
new_node = TreeNode()
|
||||
new_node.children = {self.get_child_key_fn(key[split_len:]): child}
|
||||
new_node.parent = child.parent
|
||||
@@ -358,6 +371,10 @@ class RadixCache(BasePrefixCache):
|
||||
child.key = child.key[split_len:]
|
||||
child.value = child.value[split_len:]
|
||||
new_node.parent.children[self.get_child_key_fn(key)] = new_node
|
||||
|
||||
self._record_store_event(new_node)
|
||||
self._record_store_event(child)
|
||||
|
||||
return new_node
|
||||
|
||||
def _insert_helper(self, node: TreeNode, key: List, value):
|
||||
@@ -390,6 +407,7 @@ class RadixCache(BasePrefixCache):
|
||||
new_node.value = value
|
||||
node.children[child_key] = new_node
|
||||
self.evictable_size_ += len(value)
|
||||
self._record_store_event(new_node)
|
||||
return total_prefix_length
|
||||
|
||||
def _print_helper(self, node: TreeNode, indent: int):
|
||||
@@ -442,6 +460,41 @@ class RadixCache(BasePrefixCache):
|
||||
|
||||
return ret_list
|
||||
|
||||
def _record_store_event(self, node: TreeNode):
|
||||
if self.enable_kv_cache_events:
|
||||
block_hash = hash(tuple(node.key))
|
||||
parent_block_hash = hash(tuple(node.parent.key))
|
||||
self.kv_event_queue.append(
|
||||
BlockStored(
|
||||
block_hashes=[block_hash],
|
||||
parent_block_hash=parent_block_hash,
|
||||
token_ids=node.key,
|
||||
block_size=len(node.key),
|
||||
lora_id=None,
|
||||
)
|
||||
)
|
||||
|
||||
def _record_remove_event(self, node: TreeNode):
|
||||
if self.enable_kv_cache_events:
|
||||
block_hash = hash(tuple(node.key))
|
||||
self.kv_event_queue.append(BlockRemoved(block_hashes=[block_hash]))
|
||||
|
||||
def _record_all_cleared_event(self):
|
||||
if self.enable_kv_cache_events:
|
||||
self.kv_event_queue.append(AllBlocksCleared())
|
||||
|
||||
def take_events(self):
|
||||
"""Atomically takes all events and clears the queue.
|
||||
|
||||
Returns:
|
||||
A list of KV cache events.
|
||||
"""
|
||||
if not self.enable_kv_cache_events:
|
||||
return []
|
||||
events = self.kv_event_queue
|
||||
self.kv_event_queue = []
|
||||
return events
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
tree = RadixCache(None, None, page_size=1, disable=False)
|
||||
|
||||
@@ -103,6 +103,7 @@ class ServerArgs:
|
||||
collect_tokens_histogram: bool = False
|
||||
decode_log_interval: int = 40
|
||||
enable_request_time_stats_logging: bool = False
|
||||
kv_events_config: Optional[str] = None
|
||||
|
||||
# API related
|
||||
api_key: Optional[str] = None
|
||||
@@ -814,6 +815,12 @@ class ServerArgs:
|
||||
default=ServerArgs.collect_tokens_histogram,
|
||||
help="Collect prompt/generation tokens histogram.",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--kv-events-config",
|
||||
type=str,
|
||||
default=None,
|
||||
help="Config in json format for NVIDIA dynamo KV event publishing. Publishing will be enabled if this flag is used.",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--decode-log-interval",
|
||||
type=int,
|
||||
|
||||
Reference in New Issue
Block a user