(refactor) prometheus async_log_success_event to be under 100 LOC (#6416)

* unit testig for prometheus

* unit testing for success metrics

* use 1 helper for _increment_token_metrics

* use helper for _increment_remaining_budget_metrics

* use _increment_remaining_budget_metrics

* use _increment_top_level_request_and_spend_metrics

* use helper for _set_latency_metrics

* remove noqa violation

* fix test prometheus

* test prometheus

* unit testing for all prometheus helper functions

* fix prom unit tests

* fix unit tests prometheus

* fix unit test prom

litellm/integrations/prometheus.py

@@ -6,7 +6,7 @@ import subprocess
 import sys
 import traceback
 import uuid
-from datetime import datetime, timedelta
+from datetime import date, datetime, timedelta
 from typing import Optional, TypedDict, Union
 
 import dotenv
@@ -334,13 +334,8 @@ class PrometheusLogger(CustomLogger):
             print_verbose(f"Got exception on init prometheus client {str(e)}")
             raise e
 
-    async def async_log_success_event(  # noqa: PLR0915
+    async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
-        self, kwargs, response_obj, start_time, end_time
-    ):
         # Define prometheus client
-        from litellm.proxy.common_utils.callback_utils import (
-            get_model_group_from_litellm_kwargs,
-        )
         from litellm.types.utils import StandardLoggingPayload
 
         verbose_logger.debug(
@@ -358,7 +353,6 @@ class PrometheusLogger(CustomLogger):
         _metadata = litellm_params.get("metadata", {})
         proxy_server_request = litellm_params.get("proxy_server_request") or {}
         end_user_id = proxy_server_request.get("body", {}).get("user", None)
-        model_parameters: dict = standard_logging_payload["model_parameters"]
         user_id = standard_logging_payload["metadata"]["user_api_key_user_id"]
         user_api_key = standard_logging_payload["metadata"]["user_api_key_hash"]
         user_api_key_alias = standard_logging_payload["metadata"]["user_api_key_alias"]
@@ -369,25 +363,6 @@ class PrometheusLogger(CustomLogger):
         output_tokens = standard_logging_payload["completion_tokens"]
         tokens_used = standard_logging_payload["total_tokens"]
         response_cost = standard_logging_payload["response_cost"]
-        _team_spend = litellm_params.get("metadata", {}).get(
-            "user_api_key_team_spend", None
-        )
-        _team_max_budget = litellm_params.get("metadata", {}).get(
-            "user_api_key_team_max_budget", None
-        )
-        _remaining_team_budget = safe_get_remaining_budget(
-            max_budget=_team_max_budget, spend=_team_spend
-        )
-
-        _api_key_spend = litellm_params.get("metadata", {}).get(
-            "user_api_key_spend", None
-        )
-        _api_key_max_budget = litellm_params.get("metadata", {}).get(
-            "user_api_key_max_budget", None
-        )
-        _remaining_api_key_budget = safe_get_remaining_budget(
-            max_budget=_api_key_max_budget, spend=_api_key_spend
-        )
 
         print_verbose(
             f"inside track_prometheus_metrics, model {model}, response_cost {response_cost}, tokens_used {tokens_used}, end_user_id {end_user_id}, user_api_key {user_api_key}"
@@ -402,24 +377,76 @@ class PrometheusLogger(CustomLogger):
 
             user_api_key = hash_token(user_api_key)
 
-        self.litellm_requests_metric.labels(
+        # increment total LLM requests and spend metric
-            end_user_id,
+        self._increment_top_level_request_and_spend_metrics(
-            user_api_key,
+            end_user_id=end_user_id,
-            user_api_key_alias,
+            user_api_key=user_api_key,
-            model,
+            user_api_key_alias=user_api_key_alias,
-            user_api_team,
+            model=model,
-            user_api_team_alias,
+            user_api_team=user_api_team,
-            user_id,
+            user_api_team_alias=user_api_team_alias,
-        ).inc()
+            user_id=user_id,
-        self.litellm_spend_metric.labels(
+            response_cost=response_cost,
-            end_user_id,
+        )
-            user_api_key,
+
-            user_api_key_alias,
+        # input, output, total token metrics
-            model,
+        self._increment_token_metrics(
-            user_api_team,
+            standard_logging_payload=standard_logging_payload,
-            user_api_team_alias,
+            end_user_id=end_user_id,
-            user_id,
+            user_api_key=user_api_key,
-        ).inc(response_cost)
+            user_api_key_alias=user_api_key_alias,
+            model=model,
+            user_api_team=user_api_team,
+            user_api_team_alias=user_api_team_alias,
+            user_id=user_id,
+        )
+
+        # remaining budget metrics
+        self._increment_remaining_budget_metrics(
+            user_api_team=user_api_team,
+            user_api_team_alias=user_api_team_alias,
+            user_api_key=user_api_key,
+            user_api_key_alias=user_api_key_alias,
+            litellm_params=litellm_params,
+        )
+
+        # set proxy virtual key rpm/tpm metrics
+        self._set_virtual_key_rate_limit_metrics(
+            user_api_key=user_api_key,
+            user_api_key_alias=user_api_key_alias,
+            kwargs=kwargs,
+            metadata=_metadata,
+        )
+
+        # set latency metrics
+        self._set_latency_metrics(
+            kwargs=kwargs,
+            model=model,
+            user_api_key=user_api_key,
+            user_api_key_alias=user_api_key_alias,
+            user_api_team=user_api_team,
+            user_api_team_alias=user_api_team_alias,
+            standard_logging_payload=standard_logging_payload,
+        )
+
+        # set x-ratelimit headers
+        self.set_llm_deployment_success_metrics(
+            kwargs, start_time, end_time, output_tokens
+        )
+        pass
+
+    def _increment_token_metrics(
+        self,
+        standard_logging_payload: StandardLoggingPayload,
+        end_user_id: Optional[str],
+        user_api_key: Optional[str],
+        user_api_key_alias: Optional[str],
+        model: Optional[str],
+        user_api_team: Optional[str],
+        user_api_team_alias: Optional[str],
+        user_id: Optional[str],
+    ):
+        # token metrics
         self.litellm_tokens_metric.labels(
             end_user_id,
             user_api_key,
@@ -450,6 +477,34 @@ class PrometheusLogger(CustomLogger):
             user_id,
         ).inc(standard_logging_payload["completion_tokens"])
 
+    def _increment_remaining_budget_metrics(
+        self,
+        user_api_team: Optional[str],
+        user_api_team_alias: Optional[str],
+        user_api_key: Optional[str],
+        user_api_key_alias: Optional[str],
+        litellm_params: dict,
+    ):
+        _team_spend = litellm_params.get("metadata", {}).get(
+            "user_api_key_team_spend", None
+        )
+        _team_max_budget = litellm_params.get("metadata", {}).get(
+            "user_api_key_team_max_budget", None
+        )
+        _remaining_team_budget = self._safe_get_remaining_budget(
+            max_budget=_team_max_budget, spend=_team_spend
+        )
+
+        _api_key_spend = litellm_params.get("metadata", {}).get(
+            "user_api_key_spend", None
+        )
+        _api_key_max_budget = litellm_params.get("metadata", {}).get(
+            "user_api_key_max_budget", None
+        )
+        _remaining_api_key_budget = self._safe_get_remaining_budget(
+            max_budget=_api_key_max_budget, spend=_api_key_spend
+        )
+        # Remaining Budget Metrics
         self.litellm_remaining_team_budget_metric.labels(
             user_api_team, user_api_team_alias
         ).set(_remaining_team_budget)
@@ -458,6 +513,47 @@ class PrometheusLogger(CustomLogger):
             user_api_key, user_api_key_alias
         ).set(_remaining_api_key_budget)
 
+    def _increment_top_level_request_and_spend_metrics(
+        self,
+        end_user_id: Optional[str],
+        user_api_key: Optional[str],
+        user_api_key_alias: Optional[str],
+        model: Optional[str],
+        user_api_team: Optional[str],
+        user_api_team_alias: Optional[str],
+        user_id: Optional[str],
+        response_cost: float,
+    ):
+        self.litellm_requests_metric.labels(
+            end_user_id,
+            user_api_key,
+            user_api_key_alias,
+            model,
+            user_api_team,
+            user_api_team_alias,
+            user_id,
+        ).inc()
+        self.litellm_spend_metric.labels(
+            end_user_id,
+            user_api_key,
+            user_api_key_alias,
+            model,
+            user_api_team,
+            user_api_team_alias,
+            user_id,
+        ).inc(response_cost)
+
+    def _set_virtual_key_rate_limit_metrics(
+        self,
+        user_api_key: Optional[str],
+        user_api_key_alias: Optional[str],
+        kwargs: dict,
+        metadata: dict,
+    ):
+        from litellm.proxy.common_utils.callback_utils import (
+            get_model_group_from_litellm_kwargs,
+        )
+
         # Set remaining rpm/tpm for API Key + model
         # see parallel_request_limiter.py - variables are set there
         model_group = get_model_group_from_litellm_kwargs(kwargs)
@@ -466,10 +562,8 @@ class PrometheusLogger(CustomLogger):
         )
         remaining_tokens_variable_name = f"litellm-key-remaining-tokens-{model_group}"
 
-        remaining_requests = _metadata.get(
+        remaining_requests = metadata.get(remaining_requests_variable_name, sys.maxsize)
-            remaining_requests_variable_name, sys.maxsize
+        remaining_tokens = metadata.get(remaining_tokens_variable_name, sys.maxsize)
-        )
-        remaining_tokens = _metadata.get(remaining_tokens_variable_name, sys.maxsize)
 
         self.litellm_remaining_api_key_requests_for_model.labels(
             user_api_key, user_api_key_alias, model_group
@@ -479,9 +573,20 @@ class PrometheusLogger(CustomLogger):
             user_api_key, user_api_key_alias, model_group
         ).set(remaining_tokens)
 
+    def _set_latency_metrics(
+        self,
+        kwargs: dict,
+        model: Optional[str],
+        user_api_key: Optional[str],
+        user_api_key_alias: Optional[str],
+        user_api_team: Optional[str],
+        user_api_team_alias: Optional[str],
+        standard_logging_payload: StandardLoggingPayload,
+    ):
         # latency metrics
-        total_time: timedelta = kwargs.get("end_time") - kwargs.get("start_time")
+        model_parameters: dict = standard_logging_payload["model_parameters"]
-        total_time_seconds = total_time.total_seconds()
+        end_time: datetime = kwargs.get("end_time") or datetime.now()
+        start_time: Optional[datetime] = kwargs.get("start_time")
         api_call_start_time = kwargs.get("api_call_start_time", None)
 
         completion_start_time = kwargs.get("completion_start_time", None)
@@ -509,9 +614,7 @@ class PrometheusLogger(CustomLogger):
         if api_call_start_time is not None and isinstance(
             api_call_start_time, datetime
         ):
-            api_call_total_time: timedelta = (
+            api_call_total_time: timedelta = end_time - api_call_start_time
-                kwargs.get("end_time") - api_call_start_time
-            )
             api_call_total_time_seconds = api_call_total_time.total_seconds()
             self.litellm_llm_api_latency_metric.labels(
                 model,
@@ -521,7 +624,10 @@ class PrometheusLogger(CustomLogger):
                 user_api_team_alias,
             ).observe(api_call_total_time_seconds)
 
-        # log metrics
+        # total request latency
+        if start_time is not None and isinstance(start_time, datetime):
+            total_time: timedelta = end_time - start_time
+            total_time_seconds = total_time.total_seconds()
             self.litellm_request_total_latency_metric.labels(
                 model,
                 user_api_key,
@@ -530,12 +636,6 @@ class PrometheusLogger(CustomLogger):
                 user_api_team_alias,
             ).observe(total_time_seconds)
 
-        # set x-ratelimit headers
-        self.set_llm_deployment_success_metrics(
-            kwargs, start_time, end_time, output_tokens
-        )
-        pass
-
     async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
         from litellm.types.utils import StandardLoggingPayload
 
@@ -1007,10 +1107,9 @@ class PrometheusLogger(CustomLogger):
             litellm_model_name, model_id, api_base, api_provider, exception_status
         ).inc()
 
-
+    def _safe_get_remaining_budget(
-def safe_get_remaining_budget(
+        self, max_budget: Optional[float], spend: Optional[float]
-    max_budget: Optional[float], spend: Optional[float]
+    ) -> float:
-) -> float:
         if max_budget is None:
             return float("inf")
 

tests/local_testing/test_prometheus.py

@@ -16,6 +16,14 @@ from litellm import completion
 from litellm._logging import verbose_logger
 from litellm.integrations.prometheus import PrometheusLogger
 from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+from litellm.types.utils import (
+    StandardLoggingPayload,
+    StandardLoggingMetadata,
+    StandardLoggingHiddenParams,
+    StandardLoggingModelInformation,
+)
+from unittest.mock import MagicMock, patch
+from datetime import datetime, timedelta
 
 verbose_logger.setLevel(logging.DEBUG)
 

tests/logging_callback_tests/test_prometheus_unit_tests.py

@@ -0,0 +1,344 @@
+import io
+import os
+import sys
+
+sys.path.insert(0, os.path.abspath("../.."))
+
+import asyncio
+import logging
+import uuid
+
+import pytest
+from prometheus_client import REGISTRY, CollectorRegistry
+
+import litellm
+from litellm import completion
+from litellm._logging import verbose_logger
+from litellm.integrations.prometheus import PrometheusLogger
+from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+from litellm.types.utils import (
+    StandardLoggingPayload,
+    StandardLoggingMetadata,
+    StandardLoggingHiddenParams,
+    StandardLoggingModelInformation,
+)
+import pytest
+from unittest.mock import MagicMock, patch
+from datetime import datetime, timedelta
+from litellm.integrations.prometheus import PrometheusLogger
+
+verbose_logger.setLevel(logging.DEBUG)
+
+litellm.set_verbose = True
+import time
+
+
+@pytest.fixture
+def prometheus_logger():
+    collectors = list(REGISTRY._collector_to_names.keys())
+    for collector in collectors:
+        REGISTRY.unregister(collector)
+    return PrometheusLogger()
+
+
+def create_standard_logging_payload() -> StandardLoggingPayload:
+    return StandardLoggingPayload(
+        id="test_id",
+        call_type="completion",
+        response_cost=0.1,
+        response_cost_failure_debug_info=None,
+        status="success",
+        total_tokens=30,
+        prompt_tokens=20,
+        completion_tokens=10,
+        startTime=1234567890.0,
+        endTime=1234567891.0,
+        completionStartTime=1234567890.5,
+        model_map_information=StandardLoggingModelInformation(
+            model_map_key="gpt-3.5-turbo", model_map_value=None
+        ),
+        model="gpt-3.5-turbo",
+        model_id="model-123",
+        model_group="openai-gpt",
+        api_base="https://api.openai.com",
+        metadata=StandardLoggingMetadata(
+            user_api_key_hash="test_hash",
+            user_api_key_alias="test_alias",
+            user_api_key_team_id="test_team",
+            user_api_key_user_id="test_user",
+            user_api_key_team_alias="test_team_alias",
+            spend_logs_metadata=None,
+            requester_ip_address="127.0.0.1",
+            requester_metadata=None,
+        ),
+        cache_hit=False,
+        cache_key=None,
+        saved_cache_cost=0.0,
+        request_tags=[],
+        end_user=None,
+        requester_ip_address="127.0.0.1",
+        messages=[{"role": "user", "content": "Hello, world!"}],
+        response={"choices": [{"message": {"content": "Hi there!"}}]},
+        error_str=None,
+        model_parameters={"stream": True},
+        hidden_params=StandardLoggingHiddenParams(
+            model_id="model-123",
+            cache_key=None,
+            api_base="https://api.openai.com",
+            response_cost="0.1",
+            additional_headers=None,
+        ),
+    )
+
+
+def test_safe_get_remaining_budget(prometheus_logger):
+    assert prometheus_logger._safe_get_remaining_budget(100, 30) == 70
+    assert prometheus_logger._safe_get_remaining_budget(100, None) == 100
+    assert prometheus_logger._safe_get_remaining_budget(None, 30) == float("inf")
+    assert prometheus_logger._safe_get_remaining_budget(None, None) == float("inf")
+
+
+@pytest.mark.asyncio
+async def test_async_log_success_event(prometheus_logger):
+    standard_logging_object = create_standard_logging_payload()
+    kwargs = {
+        "model": "gpt-3.5-turbo",
+        "litellm_params": {
+            "metadata": {
+                "user_api_key": "test_key",
+                "user_api_key_user_id": "test_user",
+                "user_api_key_team_id": "test_team",
+            }
+        },
+        "start_time": datetime.now(),
+        "completion_start_time": datetime.now(),
+        "api_call_start_time": datetime.now(),
+        "end_time": datetime.now() + timedelta(seconds=1),
+        "standard_logging_object": standard_logging_object,
+    }
+    response_obj = MagicMock()
+
+    # Mock the prometheus client methods
+
+    # High Level Metrics - request/spend
+    prometheus_logger.litellm_requests_metric = MagicMock()
+    prometheus_logger.litellm_spend_metric = MagicMock()
+
+    # Token Metrics
+    prometheus_logger.litellm_tokens_metric = MagicMock()
+    prometheus_logger.litellm_input_tokens_metric = MagicMock()
+    prometheus_logger.litellm_output_tokens_metric = MagicMock()
+
+    # Remaining Budget Metrics
+    prometheus_logger.litellm_remaining_team_budget_metric = MagicMock()
+    prometheus_logger.litellm_remaining_api_key_budget_metric = MagicMock()
+
+    # Virtual Key Rate limit Metrics
+    prometheus_logger.litellm_remaining_api_key_requests_for_model = MagicMock()
+    prometheus_logger.litellm_remaining_api_key_tokens_for_model = MagicMock()
+
+    # Latency Metrics
+    prometheus_logger.litellm_llm_api_time_to_first_token_metric = MagicMock()
+    prometheus_logger.litellm_llm_api_latency_metric = MagicMock()
+    prometheus_logger.litellm_request_total_latency_metric = MagicMock()
+
+    await prometheus_logger.async_log_success_event(
+        kwargs, response_obj, kwargs["start_time"], kwargs["end_time"]
+    )
+
+    # Assert that the metrics were incremented
+    prometheus_logger.litellm_requests_metric.labels.assert_called()
+    prometheus_logger.litellm_spend_metric.labels.assert_called()
+
+    # Token Metrics
+    prometheus_logger.litellm_tokens_metric.labels.assert_called()
+    prometheus_logger.litellm_input_tokens_metric.labels.assert_called()
+    prometheus_logger.litellm_output_tokens_metric.labels.assert_called()
+
+    # Remaining Budget Metrics
+    prometheus_logger.litellm_remaining_team_budget_metric.labels.assert_called()
+    prometheus_logger.litellm_remaining_api_key_budget_metric.labels.assert_called()
+
+    # Virtual Key Rate limit Metrics
+    prometheus_logger.litellm_remaining_api_key_requests_for_model.labels.assert_called()
+    prometheus_logger.litellm_remaining_api_key_tokens_for_model.labels.assert_called()
+
+    # Latency Metrics
+    prometheus_logger.litellm_llm_api_time_to_first_token_metric.labels.assert_called()
+    prometheus_logger.litellm_llm_api_latency_metric.labels.assert_called()
+    prometheus_logger.litellm_request_total_latency_metric.labels.assert_called()
+
+
+def test_increment_token_metrics(prometheus_logger):
+    """
+    Test the increment_token_metrics method
+
+    input, output, and total tokens metrics are incremented by the values in the standard logging payload
+    """
+    prometheus_logger.litellm_tokens_metric = MagicMock()
+    prometheus_logger.litellm_input_tokens_metric = MagicMock()
+    prometheus_logger.litellm_output_tokens_metric = MagicMock()
+
+    standard_logging_payload = create_standard_logging_payload()
+    standard_logging_payload["total_tokens"] = 100
+    standard_logging_payload["prompt_tokens"] = 50
+    standard_logging_payload["completion_tokens"] = 50
+
+    prometheus_logger._increment_token_metrics(
+        standard_logging_payload,
+        end_user_id="user1",
+        user_api_key="key1",
+        user_api_key_alias="alias1",
+        model="gpt-3.5-turbo",
+        user_api_team="team1",
+        user_api_team_alias="team_alias1",
+        user_id="user1",
+    )
+
+    prometheus_logger.litellm_tokens_metric.labels.assert_called_once_with(
+        "user1", "key1", "alias1", "gpt-3.5-turbo", "team1", "team_alias1", "user1"
+    )
+    prometheus_logger.litellm_tokens_metric.labels().inc.assert_called_once_with(100)
+
+    prometheus_logger.litellm_input_tokens_metric.labels.assert_called_once_with(
+        "user1", "key1", "alias1", "gpt-3.5-turbo", "team1", "team_alias1", "user1"
+    )
+    prometheus_logger.litellm_input_tokens_metric.labels().inc.assert_called_once_with(
+        50
+    )
+
+    prometheus_logger.litellm_output_tokens_metric.labels.assert_called_once_with(
+        "user1", "key1", "alias1", "gpt-3.5-turbo", "team1", "team_alias1", "user1"
+    )
+    prometheus_logger.litellm_output_tokens_metric.labels().inc.assert_called_once_with(
+        50
+    )
+
+
+def test_increment_remaining_budget_metrics(prometheus_logger):
+    """
+    Test the increment_remaining_budget_metrics method
+
+    team and api key budget metrics are set to the difference between max budget and spend
+    """
+    prometheus_logger.litellm_remaining_team_budget_metric = MagicMock()
+    prometheus_logger.litellm_remaining_api_key_budget_metric = MagicMock()
+
+    litellm_params = {
+        "metadata": {
+            "user_api_key_team_spend": 50,
+            "user_api_key_team_max_budget": 100,
+            "user_api_key_spend": 25,
+            "user_api_key_max_budget": 75,
+        }
+    }
+
+    prometheus_logger._increment_remaining_budget_metrics(
+        user_api_team="team1",
+        user_api_team_alias="team_alias1",
+        user_api_key="key1",
+        user_api_key_alias="alias1",
+        litellm_params=litellm_params,
+    )
+
+    prometheus_logger.litellm_remaining_team_budget_metric.labels.assert_called_once_with(
+        "team1", "team_alias1"
+    )
+    prometheus_logger.litellm_remaining_team_budget_metric.labels().set.assert_called_once_with(
+        50
+    )
+
+    prometheus_logger.litellm_remaining_api_key_budget_metric.labels.assert_called_once_with(
+        "key1", "alias1"
+    )
+    prometheus_logger.litellm_remaining_api_key_budget_metric.labels().set.assert_called_once_with(
+        50
+    )
+
+
+def test_set_latency_metrics(prometheus_logger):
+    """
+    Test the set_latency_metrics method
+
+    time to first token, llm api latency, and request total latency metrics are set to the values in the standard logging payload
+    """
+    standard_logging_payload = create_standard_logging_payload()
+    standard_logging_payload["model_parameters"] = {"stream": True}
+    prometheus_logger.litellm_llm_api_time_to_first_token_metric = MagicMock()
+    prometheus_logger.litellm_llm_api_latency_metric = MagicMock()
+    prometheus_logger.litellm_request_total_latency_metric = MagicMock()
+
+    now = datetime.now()
+    kwargs = {
+        "end_time": now,  # when the request ends
+        "start_time": now - timedelta(seconds=2),  # when the request starts
+        "api_call_start_time": now - timedelta(seconds=1.5),  # when the api call starts
+        "completion_start_time": now
+        - timedelta(seconds=1),  # when the completion starts
+    }
+
+    prometheus_logger._set_latency_metrics(
+        kwargs=kwargs,
+        model="gpt-3.5-turbo",
+        user_api_key="key1",
+        user_api_key_alias="alias1",
+        user_api_team="team1",
+        user_api_team_alias="team_alias1",
+        standard_logging_payload=standard_logging_payload,
+    )
+
+    # completion_start_time - api_call_start_time
+    prometheus_logger.litellm_llm_api_time_to_first_token_metric.labels.assert_called_once_with(
+        "gpt-3.5-turbo", "key1", "alias1", "team1", "team_alias1"
+    )
+    prometheus_logger.litellm_llm_api_time_to_first_token_metric.labels().observe.assert_called_once_with(
+        0.5
+    )
+
+    # end_time - api_call_start_time
+    prometheus_logger.litellm_llm_api_latency_metric.labels.assert_called_once_with(
+        "gpt-3.5-turbo", "key1", "alias1", "team1", "team_alias1"
+    )
+    prometheus_logger.litellm_llm_api_latency_metric.labels().observe.assert_called_once_with(
+        1.5
+    )
+
+    # total latency for the request
+    prometheus_logger.litellm_request_total_latency_metric.labels.assert_called_once_with(
+        "gpt-3.5-turbo", "key1", "alias1", "team1", "team_alias1"
+    )
+    prometheus_logger.litellm_request_total_latency_metric.labels().observe.assert_called_once_with(
+        2.0
+    )
+
+
+def test_increment_top_level_request_and_spend_metrics(prometheus_logger):
+    """
+    Test the increment_top_level_request_and_spend_metrics method
+
+    - litellm_requests_metric is incremented by 1
+    - litellm_spend_metric is incremented by the response cost in the standard logging payload
+    """
+    prometheus_logger.litellm_requests_metric = MagicMock()
+    prometheus_logger.litellm_spend_metric = MagicMock()
+
+    prometheus_logger._increment_top_level_request_and_spend_metrics(
+        end_user_id="user1",
+        user_api_key="key1",
+        user_api_key_alias="alias1",
+        model="gpt-3.5-turbo",
+        user_api_team="team1",
+        user_api_team_alias="team_alias1",
+        user_id="user1",
+        response_cost=0.1,
+    )
+
+    prometheus_logger.litellm_requests_metric.labels.assert_called_once_with(
+        "user1", "key1", "alias1", "gpt-3.5-turbo", "team1", "team_alias1", "user1"
+    )
+    prometheus_logger.litellm_requests_metric.labels().inc.assert_called_once()
+
+    prometheus_logger.litellm_spend_metric.labels.assert_called_once_with(
+        "user1", "key1", "alias1", "gpt-3.5-turbo", "team1", "team_alias1", "user1"
+    )
+    prometheus_logger.litellm_spend_metric.labels().inc.assert_called_once_with(0.1)

tests/logging_callback_tests/test_unit_tests_init_callbacks.py

@@ -17,6 +17,7 @@ import litellm
 import asyncio
 import logging
 from litellm._logging import verbose_logger
+from prometheus_client import REGISTRY, CollectorRegistry
 
 from litellm.integrations.lago import LagoLogger
 from litellm.integrations.openmeter import OpenMeterLogger
@@ -33,6 +34,12 @@ from litellm.integrations.argilla import ArgillaLogger
 from litellm.proxy.hooks.dynamic_rate_limiter import _PROXY_DynamicRateLimitHandler
 from unittest.mock import patch
 
+# clear prometheus collectors / registry
+collectors = list(REGISTRY._collector_to_names.keys())
+for collector in collectors:
+    REGISTRY.unregister(collector)
+######################################
+
 callback_class_str_to_classType = {
     "lago": LagoLogger,
     "openmeter": OpenMeterLogger,
@@ -111,6 +118,11 @@ async def use_callback_in_llm_call(
     elif callback == "openmeter":
         # it's currently handled in jank way, TODO: fix openmete and then actually run it's test
         return
+    elif callback == "prometheus":
+        # pytest teardown - clear existing prometheus collectors
+        collectors = list(REGISTRY._collector_to_names.keys())
+        for collector in collectors:
+            REGISTRY.unregister(collector)
 
     # Mock the httpx call for Argilla dataset retrieval
     if callback == "argilla":