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litellm/tests/test_litellm/integrations/test_prometheus_services.py
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Python

import json
import os
import sys
import time
from unittest.mock import AsyncMock, patch
import pytest
from fastapi.testclient import TestClient
from litellm.integrations.prometheus_services import (
PrometheusServicesLogger,
ServiceMetrics,
ServiceTypes,
)
sys.path.insert(
0, os.path.abspath("../../..")
) # Adds the parent directory to the system path
def test_is_metric_registered_does_not_use_registry_collect():
"""is_metric_registered() must use _names_to_collectors, not REGISTRY.collect() (perf; #19921)."""
from prometheus_client import CollectorRegistry, Counter, Histogram
registry = CollectorRegistry()
for i in range(80):
Counter(
f"litellm_service_{i}_total_requests",
"Total requests",
labelnames=["service"],
registry=registry,
)
Histogram(
f"litellm_service_{i}_latency",
"Latency",
labelnames=["service"],
registry=registry,
)
pl = PrometheusServicesLogger()
pl.REGISTRY = registry
original_collect = registry.collect
collect_called = []
def track_collect(*args, **kwargs):
collect_called.append(1)
return original_collect(*args, **kwargs)
registry.collect = track_collect
n_calls = 30 * 2
start = time.perf_counter()
for _ in range(30):
pl.is_metric_registered("litellm_service_0_latency")
pl.is_metric_registered("litellm_service_79_total_requests")
elapsed_s = time.perf_counter() - start
elapsed_ms = elapsed_s * 1000
per_call_us = (elapsed_s / n_calls) * 1_000_000 if n_calls else 0
n_collect = len(collect_called)
path = "slow (REGISTRY.collect)" if n_collect else "fast (_names_to_collectors)"
print(
f"\n is_metric_registered: {elapsed_ms:.2f} ms total | "
f"{per_call_us:.1f} µs/call | {n_calls} calls | {n_collect} collect() | {path}\n"
)
assert n_collect == 0, (
f"is_metric_registered() must not use REGISTRY.collect() when _names_to_collectors "
f"is available. Latency: {elapsed_ms:.2f} ms, {per_call_us:.1f} µs/call, {n_calls} calls, "
f"collect() called {n_collect} times."
)
assert (
elapsed_s < 0.05
), f"is_metric_registered() took {elapsed_ms:.2f} ms for {n_calls} calls; expected <50 ms."
def test_create_gauge_new():
"""Test creating a new gauge"""
pl = PrometheusServicesLogger()
# Create new gauge
gauge = pl.create_gauge(service="test_service", type_of_request="size")
assert gauge is not None
assert pl._get_metric("litellm_test_service_size") is gauge
def test_update_gauge():
"""Test updating a gauge's value"""
pl = PrometheusServicesLogger()
# Create a gauge to test with
gauge = pl.create_gauge(service="test_service", type_of_request="size")
# Mock the labels method to verify it's called correctly
with patch.object(gauge, "labels") as mock_labels:
mock_gauge = AsyncMock()
mock_labels.return_value = mock_gauge
# Call update_gauge
pl.update_gauge(gauge=gauge, labels="test_label", amount=42.5)
# Verify correct methods were called
mock_labels.assert_called_once_with("test_label")
mock_gauge.set.assert_called_once_with(42.5)
def test_services_logger_default_latency_buckets():
"""PrometheusServicesLogger uses the new reduced default latency buckets."""
from litellm.types.integrations.prometheus import LATENCY_BUCKETS
pl = PrometheusServicesLogger()
assert pl.latency_buckets == LATENCY_BUCKETS
assert 420.0 in pl.latency_buckets
assert 600.0 in pl.latency_buckets
assert 1.5 not in pl.latency_buckets
def test_services_logger_custom_latency_buckets():
"""prometheus_latency_buckets setting is respected by PrometheusServicesLogger."""
import litellm
from prometheus_client import REGISTRY
custom_buckets = [0.1, 0.5, 1.0, 5.0, 10.0]
original = litellm.prometheus_latency_buckets
for collector in list(REGISTRY._collector_to_names.keys()):
try:
REGISTRY.unregister(collector)
except Exception:
pass
try:
litellm.prometheus_latency_buckets = custom_buckets
pl = PrometheusServicesLogger()
assert pl.latency_buckets == tuple(custom_buckets)
finally:
litellm.prometheus_latency_buckets = original
for collector in list(REGISTRY._collector_to_names.keys()):
try:
REGISTRY.unregister(collector)
except Exception:
pass