[ray] Support Ray metric backend for engine metrics (#31415)

Signed-off-by: Jeffrey Wang <jeffreywang@anyscale.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Qiaolin Yu <liin1211@outlook.com>
This commit is contained in:
Jeffrey Wang
2026-09-07 12:43:19 -07:00
committed by GitHub
co-authored by Claude Opus 4.8 Qiaolin Yu
parent 8392c36bce
commit bf68369a18
4 changed files with 132 additions and 5 deletions
@@ -1847,6 +1847,10 @@ class TokenizerMetricsCollector(_StatLoggerDIMixin):
).observe(value)
def check_time_to_first_token_straggler(self, value: float) -> bool:
# Injected backends (e.g. Ray) route metrics out of process and can't
# introspect prometheus_client buckets here.
if self._histogram_cls is not None:
return False
his = self.histogram_time_to_first_token.labels(
**self.labels, is_streaming="true"
)
@@ -1865,10 +1869,17 @@ class TokenizerMetricsCollector(_StatLoggerDIMixin):
self, labels: Dict[str, str], internval: float, num_new_tokens: int
):
adjusted_interval = internval / num_new_tokens
his = self.histogram_inter_token_latency.labels(**labels)
if self._histogram_cls is not None:
# Injected backend (e.g. Ray): the bucket internals below don't
# exist, so use the public observe() API.
for _ in range(num_new_tokens):
his.observe(adjusted_interval)
return
# A faster version of the Histogram::observe which observes multiple values at the same time.
# reference: https://github.com/prometheus/client_python/blob/v0.21.1/prometheus_client/metrics.py#L639
his = self.histogram_inter_token_latency.labels(**labels)
his._sum.inc(internval)
for i, bound in enumerate(his._upper_bounds):
@@ -142,6 +142,18 @@ class RayPrometheusMetric:
"""
return re.sub(r"[^a-zA-Z0-9_]", "_", name)
@staticmethod
def _get_ascii_documentation(documentation: Optional[str]) -> str:
"""ASCII-coerce a description; Ray's metric backend rejects non-ASCII."""
if not documentation:
return documentation or ""
return (
documentation.replace("", "-")
.replace("", "-")
.encode("ascii", "ignore")
.decode("ascii")
)
class RayCounterWrapper(RayPrometheusMetric):
"""``prometheus_client.Counter`` compatible wrapper."""
@@ -157,7 +169,7 @@ class RayCounterWrapper(RayPrometheusMetric):
name = self._get_sanitized_opentelemetry_name(name)
self.metric = ray_metrics.Counter(
name=name,
description=documentation,
description=self._get_ascii_documentation(documentation),
tag_keys=tag_keys,
)
@@ -186,7 +198,7 @@ class RayGaugeWrapper(RayPrometheusMetric):
name = self._get_sanitized_opentelemetry_name(name)
self.metric = ray_metrics.Gauge(
name=name,
description=documentation,
description=self._get_ascii_documentation(documentation),
tag_keys=tag_keys,
)
@@ -212,7 +224,7 @@ class RayHistogramWrapper(RayPrometheusMetric):
name = self._get_sanitized_opentelemetry_name(name)
self.metric = ray_metrics.Histogram(
name=name,
description=documentation,
description=self._get_ascii_documentation(documentation),
tag_keys=tag_keys,
boundaries=self._coerce_positive_boundaries(buckets),
)
@@ -254,7 +266,7 @@ class RaySummaryWrapper(RayPrometheusMetric):
name = self._get_sanitized_opentelemetry_name(name)
self.metric = ray_metrics.Histogram(
name=name,
description=documentation,
description=self._get_ascii_documentation(documentation),
tag_keys=tag_keys,
boundaries=self._coerce_positive_boundaries(self.DEFAULT_BOUNDARIES),
)
@@ -306,3 +318,22 @@ class RayExpertDispatchCollector(ExpertDispatchCollector):
"""``ExpertDispatchCollector`` that emits via Ray's metric system."""
_histogram_cls = RayHistogramWrapper
def build_ray_stat_loggers() -> dict:
"""Build the ``ServerArgs.stat_loggers`` map of role -> Ray-backed collector."""
from sglang.srt.observability.metrics_collector import (
STAT_LOGGER_ROLE_EXPERT_DISPATCH,
STAT_LOGGER_ROLE_RADIX_CACHE,
STAT_LOGGER_ROLE_SCHEDULER,
STAT_LOGGER_ROLE_STORAGE,
STAT_LOGGER_ROLE_TOKENIZER,
)
return {
STAT_LOGGER_ROLE_SCHEDULER: RaySchedulerMetricsCollector,
STAT_LOGGER_ROLE_TOKENIZER: RayTokenizerMetricsCollector,
STAT_LOGGER_ROLE_STORAGE: RayStorageMetricsCollector,
STAT_LOGGER_ROLE_RADIX_CACHE: RayRadixCacheMetricsCollector,
STAT_LOGGER_ROLE_EXPERT_DISPATCH: RayExpertDispatchCollector,
}
+6
View File
@@ -240,6 +240,12 @@ class RayEngine(Engine):
self._placement_group = kwargs.pop("placement_group", None)
if "log_level" not in kwargs:
kwargs["log_level"] = "error"
# Schedulers are separate Ray actors; default to the Ray-backed
# collectors so enable_metrics reaches Ray's Prometheus endpoint.
if kwargs.get("enable_metrics") and kwargs.get("stat_loggers") is None:
from sglang.srt.observability.ray_wrappers import build_ray_stat_loggers
kwargs["stat_loggers"] = build_ray_stat_loggers()
super().__init__(server_args=ServerArgs(**kwargs))
def shutdown(self):
@@ -11,13 +11,19 @@ from __future__ import annotations
import sys
import unittest
from functools import partial
from prometheus_client import CollectorRegistry, Counter, Gauge, Histogram
from sglang.srt.observability.metrics_collector import TokenizerMetricsCollector
from sglang.srt.runtime_context import get_context
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.observability.fake_ray import (
clear_fake_ray_modules,
load_ray_wrappers_with_fake_ray,
load_ray_wrappers_without_ray,
)
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(est_time=11, suite="base-a-test-cpu")
@@ -277,5 +283,78 @@ class TestRayMissingImportError(unittest.TestCase):
self.assertIsNone(self.rw._get_replica_id())
class TestAsciiDocumentation(TestRayWrapperBase):
"""Ray's metric backend rejects non-ASCII, so a wrapper whose constructor
skips ``_get_ascii_documentation`` would only crash at deploy time."""
def test_all_wrappers_fold_non_ascii_description(self):
for cls in (
self.rw.RayCounterWrapper,
self.rw.RayGaugeWrapper,
self.rw.RayHistogramWrapper,
self.rw.RaySummaryWrapper,
):
with self.subTest(wrapper=cls.__name__):
metric = cls("sglang:x", documentation="load — seconds").metric
self.assertEqual(metric.description, "load - seconds")
class TestInterTokenLatencyEquivalence(CustomTestCase):
"""``observe_inter_token_latency`` writes histogram internals directly for
the default backend but replays ``observe()`` for an injected one; both must
record identical sums and bucket counts, or ITL diverges between the default
and Ray backends."""
_BUCKETS = [0.05, 0.1, 0.5, 1.0]
_LABELS = {"model_name": "m"}
def setUp(self):
super().setUp()
override = get_context().override_server_args(
prompt_tokens_buckets=None,
generation_tokens_buckets=None,
)
self.server_args = override.install()
self.addCleanup(override.restore)
def _build_collector(self, *, force_fallback: bool):
# A private registry per collector avoids duplicate ``sglang:`` names.
registry = CollectorRegistry()
class _Collector(TokenizerMetricsCollector):
_counter_cls = partial(Counter, registry=registry)
_gauge_cls = partial(Gauge, registry=registry)
_histogram_cls = partial(Histogram, registry=registry)
collector = _Collector(
server_args=self.server_args,
labels=self._LABELS,
bucket_time_to_first_token=[0.1, 1.0],
bucket_inter_token_latency=self._BUCKETS,
bucket_e2e_request_latency=[0.1, 1.0],
)
if not force_fallback:
# _histogram_cls=None routes observe to the default-backend path.
collector._histogram_cls = None
return collector
def test_fast_and_fallback_agree(self):
fast = self._build_collector(force_fallback=False)
fallback = self._build_collector(force_fallback=True)
for collector in (fast, fallback):
collector.observe_inter_token_latency(self._LABELS, 0.24, 4)
collector.observe_inter_token_latency(self._LABELS, 6.0, 3) # +Inf bucket
collector.observe_inter_token_latency(self._LABELS, 0.3, 2)
fast_h = fast.histogram_inter_token_latency.labels(**self._LABELS)
fb_h = fallback.histogram_inter_token_latency.labels(**self._LABELS)
self.assertEqual(
[b.get() for b in fast_h._buckets],
[b.get() for b in fb_h._buckets],
)
self.assertAlmostEqual(fast_h._sum.get(), fb_h._sum.get())
if __name__ == "__main__":
sys.exit(unittest.main())