diff --git a/vllm/entrypoints/openai/api_server.py b/vllm/entrypoints/openai/api_server.py
index d76a7446d..e9356b7d9 100644
--- a/vllm/entrypoints/openai/api_server.py
+++ b/vllm/entrypoints/openai/api_server.py
@@ -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. "
diff --git a/vllm/entrypoints/openai/realtime/metrics.py b/vllm/entrypoints/openai/realtime/metrics.py
new file mode 100644
index 000000000..1b0aeaf87
--- /dev/null
+++ b/vllm/entrypoints/openai/realtime/metrics.py
@@ -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)