diff --git a/litellm/llms/prompt_templates/factory.py b/litellm/llms/prompt_templates/factory.py
index cb1b2eb73d..c51dc89be5 100644
--- a/litellm/llms/prompt_templates/factory.py
+++ b/litellm/llms/prompt_templates/factory.py
@@ -748,15 +748,9 @@ def anthropic_messages_pt_xml(messages: list):
         assistant_content = []
         ## MERGE CONSECUTIVE ASSISTANT CONTENT ##
         while msg_i < len(messages) and messages[msg_i]["role"] == "assistant":
-            # Handle assistant messages as string, none, or list of text-content dictionaries.
-            if isinstance(messages[msg_i].get("content"), list):
-                assistant_text = ''
-                for content in messages[msg_i]["content"]:
-                    if content.get("type") == "text":
-                        assistant_text += content["text"]
-            else:
-                assistant_text = messages[msg_i].get("content") or ""
-            
+            assistant_text = (
+                messages[msg_i].get("content") or ""
+            )  # either string or none
             if messages[msg_i].get(
                 "tool_calls", []
             ):  # support assistant tool invoke convertion
diff --git a/litellm/tests/test_completion.py b/litellm/tests/test_completion.py
index b4e06f596d..5317108412 100644
--- a/litellm/tests/test_completion.py
+++ b/litellm/tests/test_completion.py
@@ -230,48 +230,6 @@ def test_completion_claude_3_function_call():
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
 
-def test_completion_claude_3_with_text_content_dictionaries():
-    litellm.set_verbose = True
-    messages = [
-        {
-            "role": "user",
-            "content": [
-                {
-                    "type": "text",
-                    "text": "Hello"
-                }
-            ]
-        },
-        {
-            "role": "assistant",
-            "content": [
-                {
-                    "type": "text",
-                    "text": "Hello! How can I assist you today?"
-                }
-            ]
-        },
-        {
-            "role": "user",
-            "content": [
-                {
-                    "type": "text",
-                    "text": "Hello again!"
-                }
-            ]
-        }
-    ]
-
-    try:
-        # test without max tokens
-        response = completion(
-            model="anthropic/claude-3-opus-20240229",
-            messages=messages,
-        )
-        # Add any assertions, here to check response args
-        print(response)
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
 
 def test_parse_xml_params():
     from litellm.llms.prompt_templates.factory import parse_xml_params