(feat - proxy) Add status_code to litellm_proxy_total_requests_metric_total (#7293)

* fix _select_model_name_for_cost_calc docstring

* add STATUS_CODE  to prometheus

* test prometheus unit tests

* test_prometheus_unit_tests.py

* update Proxy Level Tracking Metrics docs

* fix test_proxy_failure_metrics

* fix test_proxy_failure_metrics

docs/my-website/docs/proxy/prometheus.md

@@ -77,7 +77,7 @@ Use this to track overall LiteLLM Proxy usage.
 | Metric Name          | Description                          |
 |----------------------|--------------------------------------|
 | `litellm_proxy_failed_requests_metric`             | Total number of failed responses from proxy - the client did not get a success response from litellm proxy. Labels: `"end_user", "hashed_api_key", "api_key_alias", "requested_model", "team", "team_alias", "user", "exception_status", "exception_class"`          |
-| `litellm_proxy_total_requests_metric`             | Total number of requests made to the proxy server - track number of client side requests. Labels: `"end_user", "hashed_api_key", "api_key_alias", "requested_model", "team", "team_alias", "user", "exception_status", "exception_class"`          |
+| `litellm_proxy_total_requests_metric`             | Total number of requests made to the proxy server - track number of client side requests. Labels: `"end_user", "hashed_api_key", "api_key_alias", "requested_model", "team", "team_alias", "user", "status_code"`          |
 
 ## LLM API / Provider Metrics
 

litellm/integrations/prometheus.py

@@ -65,6 +65,7 @@ class PrometheusLogger(CustomLogger):
                     "team",
                     "team_alias",
                     "user",
+                    STATUS_CODE,
                 ],
             )
 
@@ -731,13 +732,14 @@ class PrometheusLogger(CustomLogger):
             ).inc()
 
             self.litellm_proxy_total_requests_metric.labels(
-                user_api_key_dict.end_user_id,
-                user_api_key_dict.api_key,
-                user_api_key_dict.key_alias,
-                request_data.get("model", ""),
-                user_api_key_dict.team_id,
-                user_api_key_dict.team_alias,
-                user_api_key_dict.user_id,
+                end_user=user_api_key_dict.end_user_id,
+                hashed_api_key=user_api_key_dict.api_key,
+                api_key_alias=user_api_key_dict.key_alias,
+                requested_model=request_data.get("model", ""),
+                team=user_api_key_dict.team_id,
+                team_alias=user_api_key_dict.team_alias,
+                user=user_api_key_dict.user_id,
+                status_code=str(getattr(original_exception, "status_code", None)),
             ).inc()
             pass
         except Exception as e:
@@ -754,13 +756,14 @@ class PrometheusLogger(CustomLogger):
         """
         try:
             self.litellm_proxy_total_requests_metric.labels(
-                user_api_key_dict.end_user_id,
-                user_api_key_dict.api_key,
-                user_api_key_dict.key_alias,
-                data.get("model", ""),
-                user_api_key_dict.team_id,
-                user_api_key_dict.team_alias,
-                user_api_key_dict.user_id,
+                end_user=user_api_key_dict.end_user_id,
+                hashed_api_key=user_api_key_dict.api_key,
+                api_key_alias=user_api_key_dict.key_alias,
+                requested_model=data.get("model", ""),
+                team=user_api_key_dict.team_id,
+                team_alias=user_api_key_dict.team_alias,
+                user=user_api_key_dict.user_id,
+                status_code="200",
             ).inc()
         except Exception as e:
             verbose_logger.exception(

litellm/proxy/proxy_config.yaml

@@ -1,14 +1,42 @@
 model_list:
-  - model_name: gpt-4o
-    litellm_params:
-      model: openai/gpt-4o
-      api_key: os.environ/OPENAI_API_KEY
+ - model_name: fake-openai-endpoint
+   litellm_params:
+     model: openai/fake
+     api_key: fake-key
+     api_base: https://exampleopenaiendpoint-production.up.railway.app/
+     tags: ["teamA"]
+   model_info:
+     id: "team-a-model"
+ - model_name: fake-openai-endpoint
+   litellm_params:
+     model: openai/fake
+     api_key: fake-key
+     api_base: https://exampleopenaiendpoint-production.up.railway.app/
+     tags: ["teamB"]
+   model_info:
+     id: "team-b-model"
+ - model_name: rerank-english-v3.0
+   litellm_params:
+     model: cohere/rerank-english-v3.0
+     api_key: os.environ/COHERE_API_KEY
+ - model_name: fake-azure-endpoint
+   litellm_params:
+     model: openai/429
+     api_key: fake-key
+     api_base: https://exampleopenaiendpoint-production.up.railway.app
+ - model_name: llava-hf
+   litellm_params:
+     model: openai/llava-hf/llava-v1.6-vicuna-7b-hf
+     api_base: http://localhost:8000
+     api_key: fake-key
+   model_info:
+     supports_vision: True
+
+
 
 litellm_settings:
-  tag_budget_config:
-    product:chat-bot: # (Tag)
-      max_budget: 0.000000000001 # (USD)
-      budget_duration: 1d # (Duration)
-    product:chat-bot-2: # (Tag)
-      max_budget: 100 # (USD)
-      budget_duration: 1d # (Duration)
+  cache: true
+  callbacks: ["otel", "prometheus"]
+
+router_settings:
+  enable_tag_filtering: True # 👈 Key Change

litellm/types/integrations/prometheus.py

@@ -1,6 +1,7 @@
 REQUESTED_MODEL = "requested_model"
 EXCEPTION_STATUS = "exception_status"
 EXCEPTION_CLASS = "exception_class"
+STATUS_CODE = "status_code"
 EXCEPTION_LABELS = [EXCEPTION_STATUS, EXCEPTION_CLASS]
 LATENCY_BUCKETS = (
     0.005,

tests/logging_callback_tests/test_prometheus_unit_tests.py

@@ -485,13 +485,14 @@ async def test_async_post_call_failure_hook(prometheus_logger):
 
     # Assert total requests metric was incremented with correct labels
     prometheus_logger.litellm_proxy_total_requests_metric.labels.assert_called_once_with(
-        "test_end_user",
-        "test_key",
-        "test_alias",
-        "gpt-3.5-turbo",
-        "test_team",
-        "test_team_alias",
-        "test_user",
+        end_user="test_end_user",
+        hashed_api_key="test_key",
+        api_key_alias="test_alias",
+        requested_model="gpt-3.5-turbo",
+        team="test_team",
+        team_alias="test_team_alias",
+        user="test_user",
+        status_code="429",
     )
     prometheus_logger.litellm_proxy_total_requests_metric.labels().inc.assert_called_once()
 
@@ -527,13 +528,14 @@ async def test_async_post_call_success_hook(prometheus_logger):
 
     # Assert total requests metric was incremented with correct labels
     prometheus_logger.litellm_proxy_total_requests_metric.labels.assert_called_once_with(
-        "test_end_user",
-        "test_key",
-        "test_alias",
-        "gpt-3.5-turbo",
-        "test_team",
-        "test_team_alias",
-        "test_user",
+        end_user="test_end_user",
+        hashed_api_key="test_key",
+        api_key_alias="test_alias",
+        requested_model="gpt-3.5-turbo",
+        team="test_team",
+        team_alias="test_team_alias",
+        user="test_user",
+        status_code="200",
     )
     prometheus_logger.litellm_proxy_total_requests_metric.labels().inc.assert_called_once()
 

tests/otel_tests/test_prometheus.py

@@ -110,7 +110,7 @@ async def test_proxy_failure_metrics():
         assert expected_llm_deployment_failure
 
         assert (
-            'litellm_proxy_total_requests_metric_total{api_key_alias="None",end_user="None",hashed_api_key="88dc28d0f030c55ed4ab77ed8faf098196cb1c05df778539800c9f1243fe6b4b",requested_model="fake-azure-endpoint",team="None",team_alias="None",user="default_user_id"} 1.0'
+            'litellm_proxy_total_requests_metric_total{api_key_alias="None",end_user="None",hashed_api_key="88dc28d0f030c55ed4ab77ed8faf098196cb1c05df778539800c9f1243fe6b4b",requested_model="fake-azure-endpoint",status_code="429",team="None",team_alias="None",user="default_user_id"} 1.0'
             in metrics
         )