fix debug statements

litellm/proxy/proxy_config.yaml

@@ -1,22 +1,22 @@
 model_list:
   - model_name: openai/*
     litellm_params:
-      model: gpt-3.5-turbo
+      model: openai/*
       api_key: os.environ/OPENAI_API_KEY
+    model_info:
+      id: "good-openai"
+  - model_name: openai/*
+    litellm_params:
+      model: openai/*
+      api_key: os.environ/non-exsitent-env-var
+      tags: ["bad-model"]
+    model_info:
+      id: "test-openai"
+
+
+router_settings:
+ enable_tag_filtering: True # 👈 Key Chang
 
 litellm_settings:
   success_callback: ["prometheus"]
-  failure_callback: ["prometheus"]
+  failure_callback: ["prometheus"]
-
-guardrails:
-  - guardrail_name: "presidio-pre-guard"
-    litellm_params:
-      guardrail: presidio  # supported values: "aporia", "lakera", "presidio"
-      mode: "pre_call"  # pre_call, during_call, post_call
-      output_parse_pii: True
-
-general_settings: 
- master_key: sk-1234 
- alerting: ["slack"]
- spend_report_frequency: "1d"
-

litellm/router_strategy/tag_based_routing.py

@@ -25,14 +25,14 @@ async def get_deployments_for_tag(
 
     if request_kwargs is None:
         verbose_logger.debug(
-            "get_deployments_for_tier: request_kwargs is None returning healthy_deployments: %s",
+            "get_deployments_for_tag: request_kwargs is None returning healthy_deployments: %s",
             healthy_deployments,
         )
         return healthy_deployments
 
     if healthy_deployments is None:
         verbose_logger.debug(
-            "get_deployments_for_tier: healthy_deployments is None returning healthy_deployments"
+            "get_deployments_for_tag: healthy_deployments is None returning healthy_deployments"
         )
         return healthy_deployments