fix(langsmith.py): add /api/v1 to langsmith base url

ensures it works with self hosted langsmith

litellm/integrations/langsmith.py

@@ -351,6 +351,16 @@ class LangsmithLogger(CustomBatchLogger):
                 queue_objects=batch_group.queue_objects,
             )
 
+    def _add_endpoint_to_url(
+        self, url: str, endpoint: str, api_version: str = "/api/v1"
+    ) -> str:
+        if api_version not in url:
+            url = f"{url.rstrip('/')}{api_version}"
+
+        if url.endswith("/"):
+            return f"{url}{endpoint}"
+        return f"{url}/{endpoint}"
+
     async def _log_batch_on_langsmith(
         self,
         credentials: LangsmithCredentialsObject,
@@ -370,7 +380,7 @@ class LangsmithLogger(CustomBatchLogger):
         """
         langsmith_api_base = credentials["LANGSMITH_BASE_URL"]
         langsmith_api_key = credentials["LANGSMITH_API_KEY"]
-        url = f"{langsmith_api_base}/runs/batch"
+        url = self._add_endpoint_to_url(langsmith_api_base, "runs/batch")
         headers = {"x-api-key": langsmith_api_key}
         elements_to_log = [queue_object["data"] for queue_object in queue_objects]
 

litellm/proxy/_new_secret_config.yaml

@@ -7,7 +7,9 @@ model_list:
       id: "1"
   - model_name: gpt-3.5-turbo-end-user-test
     litellm_params:
-      model: openai/random_sleep
+      model: gpt-3.5-turbo
-      api_base: http://0.0.0.0:8090
       timeout: 2
       num_retries: 0
+
+litellm_settings:
+  callbacks: ["langsmith"]