fix(proxy_server.py): don't pass in user param if not sent

litellm/proxy/proxy_server.py

@@ -970,7 +970,7 @@ async def chat_completion(request: Request, model: Optional[str] = None, user_ap
         )
 
         # users can pass in 'user' param to /chat/completions. Don't override it
-        if data.get("user", None) is None:
+        if data.get("user", None) is None and user_api_key_dict.user_id is not None:
             # if users are using user_api_key_auth, set `user` in `data`
             data["user"] = user_api_key_dict.user_id
 
@@ -1063,7 +1063,9 @@ async def embeddings(request: Request, user_api_key_dict: UserAPIKeyAuth = Depen
             "body": copy.copy(data)  # use copy instead of deepcopy
         }
 
-        data["user"] = data.get("user", user_api_key_dict.user_id)
+        if data.get("user", None) is None and user_api_key_dict.user_id is not None:
+            data["user"] = user_api_key_dict.user_id
+            
         data["model"] = (
             general_settings.get("embedding_model", None) # server default
             or user_model # model name passed via cli args

litellm/tests/test_configs/test_config_no_auth.yaml

@@ -73,3 +73,6 @@ model_list:
     description: this is a test openai model
     id: 9b1ef341-322c-410a-8992-903987fef439
   model_name: test_openai_models
+- model_name: amazon-embeddings
+  litellm_params:
+    model: "bedrock/amazon.titan-embed-text-v1"

litellm/tests/test_custom_logger.py

@@ -310,6 +310,26 @@ async def test_async_custom_handler_embedding_optional_param():
 
 # asyncio.run(test_async_custom_handler_embedding_optional_param())
 
+@pytest.mark.asyncio
+async def test_async_custom_handler_embedding_optional_param_bedrock(): 
+    """
+    Tests if the openai optional params for embedding - user + encoding_format, 
+    are logged
+
+    but makes sure these are not sent to the non-openai/azure endpoint (raises errors).
+    """
+    customHandler_optional_params = MyCustomHandler()
+    litellm.callbacks = [customHandler_optional_params]
+    response = await litellm.aembedding(
+                model="azure/azure-embedding-model", 
+                input = ["hello world"],
+                user = "John"
+            )
+    await asyncio.sleep(1) # success callback is async 
+    assert customHandler_optional_params.user == "John"
+    assert customHandler_optional_params.user == customHandler_optional_params.data_sent_to_api["user"]
+
+
 def test_redis_cache_completion_stream():
     from litellm import Cache
     # Important Test - This tests if we can add to streaming cache, when custom callbacks are set 

litellm/tests/test_embedding.py

@@ -164,7 +164,7 @@ def test_bedrock_embedding_titan():
         assert all(isinstance(x, float) for x in response['data'][0]['embedding']), "Expected response to be a list of floats"
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
-# test_bedrock_embedding_titan()
+test_bedrock_embedding_titan()
 
 def test_bedrock_embedding_cohere():
     try:

litellm/tests/test_proxy_server.py

@@ -111,12 +111,26 @@ def test_embedding(client_no_auth):
             "model": "azure/azure-embedding-model",
             "input": ["good morning from litellm"],
         }
-        # print("testing proxy server with Azure embedding")
-        # print(user_custom_auth)
-        # print(id(user_custom_auth))
-        # user_custom_auth = None
-        # print("valu of user_custom_auth", user_custom_auth)
-        # litellm.proxy.proxy_server.user_custom_auth = None
+
+        response = client_no_auth.post("/v1/embeddings", json=test_data)
+
+        assert response.status_code == 200
+        result = response.json()
+        print(len(result["data"][0]["embedding"]))
+        assert len(result["data"][0]["embedding"]) > 10 # this usually has len==1536 so
+    except Exception as e:
+        pytest.fail(f"LiteLLM Proxy test failed. Exception - {str(e)}")
+
+def test_bedrock_embedding(client_no_auth):
+    global headers
+    from litellm.proxy.proxy_server import user_custom_auth 
+
+    try:
+        test_data = {
+            "model": "amazon-embeddings",
+            "input": ["good morning from litellm"],
+        }
+
         response = client_no_auth.post("/v1/embeddings", json=test_data)
 
         assert response.status_code == 200