[Feature] Add basic metrics for /realtime endpoint (#35500)

Signed-off-by: Thomas Pouget-Abadie <thomaspou@microsoft.com>
Signed-off-by: pougetat <thomas.pougetabadie@gmail.com>
Co-authored-by: Thomas Pouget-Abadie <thomaspou@microsoft.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
This commit is contained in:
pougetat
2026-03-04 03:56:32 -08:00
committed by GitHub
parent d6e04f4c43
commit 1659b2e058
2 changed files with 86 additions and 0 deletions

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@@ -264,6 +264,14 @@ def build_app(
# Add scaling middleware to check for scaling state
app.add_middleware(ScalingMiddleware)
if "realtime" in supported_tasks:
# Add WebSocket metrics middleware
from vllm.entrypoints.openai.realtime.metrics import (
WebSocketMetricsMiddleware,
)
app.add_middleware(WebSocketMetricsMiddleware)
if envs.VLLM_DEBUG_LOG_API_SERVER_RESPONSE:
logger.warning(
"CAUTION: Enabling log response in the API Server. "

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@@ -0,0 +1,78 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""ASGI middleware for WebSocket Prometheus metrics.
Modeled after prometheus-fastapi-instrumentator, this middleware
transparently instruments WebSocket endpoints with standard metrics
without requiring changes to handler code.
NOTE: This module intentionally has zero vllm imports so that it can
be extracted into a standalone package (similar to
prometheus-fastapi-instrumentator) in the future. Please keep it that way.
"""
import time
from collections.abc import Awaitable
from prometheus_client import Counter, Gauge, Histogram
from starlette.types import ASGIApp, Message, Receive, Scope, Send
# Standard WebSocket metric names (not vllm-specific, following
# the same convention as prometheus-fastapi-instrumentator).
_active_sessions = Gauge(
name="vllm:websocket_connections_active",
documentation="Number of currently active WebSocket connections.",
multiprocess_mode="livesum",
)
_total_sessions = Counter(
name="vllm:websocket_connections_total",
documentation="Total number of WebSocket connections.",
)
_session_duration = Histogram(
name="vllm:websocket_connection_duration_seconds",
documentation="Duration of WebSocket connections in seconds.",
buckets=[0.5, 1, 2.5, 5, 10, 30, 60, 120, 300, 600, 1800],
)
class WebSocketMetricsMiddleware:
"""Pure ASGI middleware that instruments WebSocket connections.
Tracks active connections (gauge), total connections (counter),
and connection duration (histogram) for all WebSocket endpoints.
Usage::
app.add_middleware(WebSocketMetricsMiddleware)
"""
def __init__(self, app: ASGIApp) -> None:
self.app = app
def __call__(self, scope: Scope, receive: Receive, send: Send) -> Awaitable[None]:
if scope["type"] != "websocket":
return self.app(scope, receive, send)
return self._handle_websocket(scope, receive, send)
async def _handle_websocket(
self, scope: Scope, receive: Receive, send: Send
) -> None:
start_time: float | None = None
async def send_wrapper(message: Message) -> None:
nonlocal start_time
if message["type"] == "websocket.accept":
start_time = time.monotonic()
_active_sessions.inc()
_total_sessions.inc()
await send(message)
try:
await self.app(scope, receive, send_wrapper)
finally:
if start_time is not None:
_active_sessions.dec()
_session_duration.observe(time.monotonic() - start_time)