mirror of
https://github.com/tiennm99/litellm.git
synced 2026-08-03 06:23:06 +00:00
test: fix minor test
This commit is contained in:
@@ -3575,7 +3575,7 @@ def handle_exception_on_proxy(e: Exception) -> ProxyException:
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)
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def _premium_user_check(feature:str=None):
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def _premium_user_check(feature: Optional[str] = None):
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"""
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Raises an HTTPException if the user is not a premium user
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"""
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@@ -3589,9 +3589,7 @@ def _premium_user_check(feature:str=None):
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if not premium_user:
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raise HTTPException(
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status_code=403,
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detail={
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"error": detail_msg
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},
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detail={"error": detail_msg},
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)
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+132
-99
@@ -6,7 +6,6 @@ sys.path.insert(0, os.path.abspath("../.."))
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import asyncio
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import logging
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from litellm._uuid import uuid
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from datetime import datetime, timedelta, timezone
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from unittest.mock import MagicMock, call, patch
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@@ -16,6 +15,7 @@ from prometheus_client import REGISTRY, CollectorRegistry
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import litellm
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from litellm import completion
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from litellm._logging import verbose_logger
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from litellm._uuid import uuid
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from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
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from litellm.types.utils import (
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StandardLoggingHiddenParams,
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@@ -1033,10 +1033,10 @@ def test_deployment_state_management(prometheus_logger):
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# Test set_deployment_healthy (state=0)
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prometheus_logger.set_deployment_healthy(**test_params)
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prometheus_logger.litellm_deployment_state.labels.assert_called_with(
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test_params["litellm_model_name"],
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test_params["model_id"],
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test_params["api_base"],
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test_params["api_provider"],
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litellm_model_name=test_params["litellm_model_name"],
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model_id=test_params["model_id"],
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api_base=test_params["api_base"],
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api_provider=test_params["api_provider"],
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)
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prometheus_logger.litellm_deployment_state.labels().set.assert_called_with(0)
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@@ -1153,22 +1153,28 @@ def test_get_custom_labels_from_tags_wildcard_patterns(monkeypatch):
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# Configure tags with wildcard patterns
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monkeypatch.setattr(
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"litellm.custom_prometheus_tags",
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["User-Agent: curl/*", "User-Agent: python-requests/*", "Environment: prod*", "Service: api-gateway*", "exact-match"]
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"litellm.custom_prometheus_tags",
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[
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"User-Agent: curl/*",
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"User-Agent: python-requests/*",
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"Environment: prod*",
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"Service: api-gateway*",
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"exact-match",
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],
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)
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# Test tags that should match the wildcard patterns
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tags = [
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"User-Agent: curl/7.68.0",
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"User-Agent: python-requests/2.28.1",
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"User-Agent: curl/7.68.0",
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"User-Agent: python-requests/2.28.1",
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"Environment: production",
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"Service: api-gateway-v2",
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"exact-match",
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"other-tag"
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"other-tag",
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]
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result = get_custom_labels_from_tags(tags)
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expected = {
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"tag_User_Agent__curl__": "true", # matches "User-Agent: curl/*"
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"tag_User_Agent__python_requests__": "true", # matches "User-Agent: python-requests/*"
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@@ -1176,7 +1182,7 @@ def test_get_custom_labels_from_tags_wildcard_patterns(monkeypatch):
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"tag_Service__api_gateway_": "true", # matches "Service: api-gateway*"
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"tag_exact_match": "true", # exact match
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}
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assert result == expected
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@@ -1186,26 +1192,26 @@ def test_get_custom_labels_from_tags_wildcard_no_matches(monkeypatch):
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# Configure tags with wildcard patterns
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monkeypatch.setattr(
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"litellm.custom_prometheus_tags",
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["User-Agent: firefox/*", "Environment: dev*", "Service: web-app*"]
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"litellm.custom_prometheus_tags",
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["User-Agent: firefox/*", "Environment: dev*", "Service: web-app*"],
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)
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# Test tags that should NOT match the wildcard patterns
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tags = [
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"User-Agent: curl/7.68.0", # doesn't match "User-Agent: firefox/*"
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"Environment: production", # doesn't match "Environment: dev*"
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"Environment: production", # doesn't match "Environment: dev*"
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"Service: api-gateway-v2", # doesn't match "Service: web-app*"
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"other-tag"
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"other-tag",
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]
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result = get_custom_labels_from_tags(tags)
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expected = {
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"tag_User_Agent__firefox__": "false", # no match for "User-Agent: firefox/*"
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"tag_Environment__dev_": "false", # no match for "Environment: dev*"
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"tag_Service__web_app_": "false", # no match for "Service: web-app*"
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}
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assert result == expected
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@@ -1216,48 +1222,69 @@ def test_tag_matches_wildcard_configured_pattern():
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)
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# Test cases that should match
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assert _tag_matches_wildcard_configured_pattern(
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tags=["User-Agent: curl/7.68.0", "prod", "other"],
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configured_tag="User-Agent: curl/*"
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) is True
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assert _tag_matches_wildcard_configured_pattern(
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tags=["User-Agent: python-requests/2.28.1", "test"],
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configured_tag="User-Agent: python-requests/*"
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) is True
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assert _tag_matches_wildcard_configured_pattern(
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tags=["Environment: production", "debug"],
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configured_tag="Environment: prod*"
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) is True
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assert (
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_tag_matches_wildcard_configured_pattern(
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tags=["User-Agent: curl/7.68.0", "prod", "other"],
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configured_tag="User-Agent: curl/*",
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)
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is True
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)
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assert (
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_tag_matches_wildcard_configured_pattern(
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tags=["User-Agent: python-requests/2.28.1", "test"],
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configured_tag="User-Agent: python-requests/*",
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)
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is True
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)
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assert (
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_tag_matches_wildcard_configured_pattern(
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tags=["Environment: production", "debug"],
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configured_tag="Environment: prod*",
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)
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is True
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)
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# Test exact match (no wildcard)
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assert _tag_matches_wildcard_configured_pattern(
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tags=["prod", "test"],
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configured_tag="prod"
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) is True
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assert (
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_tag_matches_wildcard_configured_pattern(
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tags=["prod", "test"], configured_tag="prod"
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)
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is True
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)
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# Test cases that should NOT match
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assert _tag_matches_wildcard_configured_pattern(
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tags=["User-Agent: firefox/98.0", "prod"],
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configured_tag="User-Agent: curl/*"
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) is False
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assert _tag_matches_wildcard_configured_pattern(
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tags=["Environment: development", "test"],
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configured_tag="Environment: prod*"
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) is False
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assert _tag_matches_wildcard_configured_pattern(
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tags=["staging", "test"],
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configured_tag="prod"
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) is False
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assert (
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_tag_matches_wildcard_configured_pattern(
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tags=["User-Agent: firefox/98.0", "prod"],
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configured_tag="User-Agent: curl/*",
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)
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is False
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)
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assert (
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_tag_matches_wildcard_configured_pattern(
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tags=["Environment: development", "test"],
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configured_tag="Environment: prod*",
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)
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is False
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)
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assert (
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_tag_matches_wildcard_configured_pattern(
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tags=["staging", "test"], configured_tag="prod"
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)
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is False
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)
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# Test with empty tags
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assert _tag_matches_wildcard_configured_pattern(
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tags=[],
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configured_tag="User-Agent: curl/*"
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) is False
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assert (
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_tag_matches_wildcard_configured_pattern(
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tags=[], configured_tag="User-Agent: curl/*"
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)
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is False
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)
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@pytest.mark.asyncio(scope="session")
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@@ -1920,12 +1947,12 @@ def test_set_llm_deployment_success_metrics_with_label_filtering():
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async def test_prometheus_token_metrics_with_prometheus_config():
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"""
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Test that validates the renamed token metrics are incremented correctly with a prometheus config.
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This test ensures that after the metric renaming (git diff):
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- litellm_total_tokens -> litellm_total_tokens_metric
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- litellm_input_tokens -> litellm_input_tokens_metric
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- litellm_input_tokens -> litellm_input_tokens_metric
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- litellm_output_tokens -> litellm_output_tokens_metric
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All three metrics should be properly incremented when making a successful completion request.
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"""
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from prometheus_client import CollectorRegistry, Counter
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@@ -1937,39 +1964,39 @@ async def test_prometheus_token_metrics_with_prometheus_config():
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collectors = list(REGISTRY._collector_to_names.keys())
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for collector in collectors:
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REGISTRY.unregister(collector)
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# Set up prometheus configuration that includes the token metrics
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config = [
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PrometheusMetricsConfig(
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group="token_metrics_test",
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metrics=[
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"litellm_total_tokens_metric",
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"litellm_input_tokens_metric",
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"litellm_input_tokens_metric",
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"litellm_output_tokens_metric",
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"litellm_requests_metric"
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"litellm_requests_metric",
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],
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include_labels=[
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"model",
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"hashed_api_key",
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"hashed_api_key",
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"api_key_alias",
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"team",
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"team_alias"
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"team_alias",
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],
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)
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]
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# Mock litellm.prometheus_metrics_config
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with patch("litellm.prometheus_metrics_config", config):
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# Create PrometheusLogger with the configuration
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prometheus_logger = PrometheusLogger()
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# Test data with specific token counts
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standard_logging_payload = create_standard_logging_payload()
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standard_logging_payload["total_tokens"] = 1500
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standard_logging_payload["prompt_tokens"] = 900
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standard_logging_payload["completion_tokens"] = 600
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standard_logging_payload["response_cost"] = 0.075
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kwargs = {
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"model": "gpt-3.5-turbo",
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"stream": False,
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@@ -1983,7 +2010,7 @@ async def test_prometheus_token_metrics_with_prometheus_config():
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}
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},
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"start_time": datetime.now() - timedelta(seconds=2),
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"completion_start_time": datetime.now() - timedelta(seconds=1),
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"completion_start_time": datetime.now() - timedelta(seconds=1),
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"api_call_start_time": datetime.now() - timedelta(seconds=1.5),
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"end_time": datetime.now(),
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"standard_logging_object": standard_logging_payload,
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@@ -1999,69 +2026,75 @@ async def test_prometheus_token_metrics_with_prometheus_config():
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print("final registry values", REGISTRY._collector_to_names)
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# Get metric collectors directly from registry
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# Get metric collectors directly from registry
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metric_collectors = {}
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for collector, names in REGISTRY._collector_to_names.items():
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metric_name = names[0] # First name is the base metric name
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metric_collectors[metric_name] = collector
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print("=== Final Metric Values (Direct Access) ===")
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# Expected values
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# Expected values
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expected_values = {
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"litellm_total_tokens_metric": 1500.0,
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"litellm_input_tokens_metric": 900.0,
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"litellm_output_tokens_metric": 600.0,
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"litellm_requests_metric": 1.0
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"litellm_requests_metric": 1.0,
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}
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expected_label_values = {
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'api_key_alias': 'test_alias',
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'hashed_api_key': 'test_hash',
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'model': 'gpt-3.5-turbo',
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'team': 'test_team',
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'team_alias': 'test_team_alias'
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"api_key_alias": "test_alias",
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"hashed_api_key": "test_hash",
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"model": "gpt-3.5-turbo",
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"team": "test_team",
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"team_alias": "test_team_alias",
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}
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# Validate each metric directly
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for metric_name, expected_value in expected_values.items():
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if metric_name in metric_collectors:
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collector = metric_collectors[metric_name]
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# Get all samples for this metric
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samples = list(collector.collect())[0].samples
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# Find the _total sample (the actual counter value)
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total_sample = None
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for sample in samples:
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if sample.name.endswith('_total'):
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if sample.name.endswith("_total"):
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total_sample = sample
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break
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if total_sample:
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actual_value = total_sample.value
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actual_labels = total_sample.labels
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print(f"✓ {metric_name}: expected={expected_value}, actual={actual_value}")
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print(
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f"✓ {metric_name}: expected={expected_value}, actual={actual_value}"
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)
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print(f" Labels: {actual_labels}")
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# Validate the value
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assert actual_value == expected_value, f"Expected {expected_value}, got {actual_value} for {metric_name}"
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assert (
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actual_value == expected_value
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), f"Expected {expected_value}, got {actual_value} for {metric_name}"
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# Validate the labels
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for label_key, expected_label_value in expected_label_values.items():
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for (
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label_key,
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expected_label_value,
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) in expected_label_values.items():
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actual_label_value = actual_labels.get(label_key)
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assert actual_label_value == expected_label_value, f"Expected label {label_key}={expected_label_value}, got {actual_label_value}"
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assert (
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actual_label_value == expected_label_value
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), f"Expected label {label_key}={expected_label_value}, got {actual_label_value}"
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print(f" ✓ {metric_name} VALIDATED")
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else:
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raise AssertionError(f"No _total sample found for {metric_name}")
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else:
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raise AssertionError(f"Metric {metric_name} not found in registry")
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print("✓ All token metrics validated successfully!")
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# check final value of metrics in registry
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Reference in New Issue
Block a user