diff --git a/newrelic/hooks/mlmodel_langchain.py b/newrelic/hooks/mlmodel_langchain.py
index f4f338bfc..67454e383 100644
--- a/newrelic/hooks/mlmodel_langchain.py
+++ b/newrelic/hooks/mlmodel_langchain.py
@@ -700,16 +700,19 @@ def _create_successful_chain_run_events(
     trace_id = linking_metadata.get("trace.id")
     input_message_list = [_input]
     output_message_list = []
-    try:
-        output_message_list = [response[0]] if response else []
-    except:
+    if isinstance(response, str):
+        output_message_list = [response]
+    else:
         try:
-            output_message_list = [str(response)]
-        except Exception as e:
-            _logger.warning(
-                "Unable to capture response inside langchain chain instrumentation. No response message event will be captured. Report this issue to New Relic Support.\n%s",
-                traceback.format_exception(*sys.exc_info()),
-            )
+            output_message_list = [response[0]] if response else []
+        except:
+            try:
+                output_message_list = [str(response)]
+            except Exception as e:
+                _logger.warning(
+                    "Unable to capture response inside langchain chain instrumentation. No response message event will be captured. Report this issue to New Relic Support.\n%s",
+                    traceback.format_exception(*sys.exc_info()),
+                )
 
     # Make sure the builtin attributes take precedence over metadata attributes.
     full_chat_completion_summary_dict = {f"metadata.{key}": value for key, value in metadata.items()}
diff --git a/tests/mlmodel_langchain/_mock_external_openai_server.py b/tests/mlmodel_langchain/_mock_external_openai_server.py
index f56269b46..a951d499b 100644
--- a/tests/mlmodel_langchain/_mock_external_openai_server.py
+++ b/tests/mlmodel_langchain/_mock_external_openai_server.py
@@ -381,6 +381,42 @@
             "system_fingerprint": None,
         },
     ],
+    "You are a helpful assistant who generates a random first name. A user will pass in a first letter, and you should generate a name that starts with that first letter.": [
+        {
+            "Content-Type": "application/json",
+            "openai-model": "gpt-3.5-turbo-0613",
+            "openai-organization": "foobar-jtbczk",
+            "openai-processing-ms": "488",
+            "openai-version": "2020-10-01",
+            "x-ratelimit-limit-requests": "200",
+            "x-ratelimit-limit-tokens": "40000",
+            "x-ratelimit-limit-tokens_usage_based": "40000",
+            "x-ratelimit-remaining-requests": "199",
+            "x-ratelimit-remaining-tokens": "39921",
+            "x-ratelimit-remaining-tokens_usage_based": "39921",
+            "x-ratelimit-reset-requests": "7m12s",
+            "x-ratelimit-reset-tokens": "118ms",
+            "x-ratelimit-reset-tokens_usage_based": "118ms",
+            "x-request-id": "f3de99e17ccc360430cffa243b74dcbd",
+        },
+        200,
+        {
+            "id": "chatcmpl-8XEjOPNHth7yS2jt1You3fEwB6w9i",
+            "object": "chat.completion",
+            "created": 1702932142,
+            "model": "gpt-3.5-turbo-0613",
+            "choices": [
+                {
+                    "index": 0,
+                    "message": {"role": "assistant", "content": "Milo"},
+                    "logprobs": None,
+                    "finish_reason": "stop",
+                }
+            ],
+            "usage": {"prompt_tokens": 60, "completion_tokens": 9, "total_tokens": 69},
+            "system_fingerprint": None,
+        },
+    ],
     "9906": [
         {
             "content-type": "application/json",
diff --git a/tests/mlmodel_langchain/test_chain.py b/tests/mlmodel_langchain/test_chain.py
index 4c5811113..1a3cbbfd7 100644
--- a/tests/mlmodel_langchain/test_chain.py
+++ b/tests/mlmodel_langchain/test_chain.py
@@ -532,7 +532,7 @@
             "ingest_source": "Python",
             "is_response": True,
             "virtual_llm": True,
-            "content": "`",
+            "content": "```html\n<!DOCTYPE html>\n<html>\n<head>\n  <title>Math Quiz</title>\n</head>\n<body>\n  <h2>Math Quiz Questions</h2>\n  <ol>\n    <li>What is the result of 5 + 3?</li>\n      <ul>\n        <li>A) 7</li>\n        <li>B) 8</li>\n        <li>C) 9</li>\n        <li>D) 10</li>\n      </ul>\n    <li>What is the product of 6 x 7?</li>\n      <ul>\n        <li>A) 36</li>\n        <li>B) 42</li>\n        <li>C) 48</li>\n        <li>D) 56</li>\n      </ul>\n    <li>What is the square root of 64?</li>\n      <ul>\n        <li>A) 6</li>\n        <li>B) 7</li>\n        <li>C) 8</li>\n        <li>D) 9</li>\n      </ul>\n    <li>What is the result of 12 / 4?</li>\n      <ul>\n        <li>A) 2</li>\n        <li>B) 3</li>\n        <li>C) 4</li>\n        <li>D) 5</li>\n      </ul>\n    <li>What is the sum of 15 + 9?</li>\n      <ul>\n        <li>A) 22</li>\n        <li>B) 23</li>\n        <li>C) 24</li>\n        <li>D) 25</li>\n      </ul>\n  </ol>\n</body>\n</html>\n```",
         },
     ],
     [
@@ -553,6 +553,60 @@
     ],
 ]
 
+chat_completion_recorded_events_str_response = [
+    (
+        {"type": "LlmChatCompletionSummary"},
+        {
+            "id": None,
+            "llm.conversation_id": "my-awesome-id",
+            "llm.foo": "bar",
+            "span_id": None,
+            "trace_id": "trace-id",
+            "vendor": "langchain",
+            "ingest_source": "Python",
+            "virtual_llm": True,
+            "request_id": None,
+            "duration": None,
+            "response.number_of_messages": 2,
+            "metadata.id": "123",
+        },
+    ),
+    (
+        {"type": "LlmChatCompletionMessage"},
+        {
+            "id": None,
+            "llm.conversation_id": "my-awesome-id",
+            "llm.foo": "bar",
+            "request_id": None,
+            "span_id": None,
+            "trace_id": "trace-id",
+            "content": "{'text': 'M'}",
+            "completion_id": None,
+            "sequence": 0,
+            "vendor": "langchain",
+            "ingest_source": "Python",
+            "virtual_llm": True,
+        },
+    ),
+    (
+        {"type": "LlmChatCompletionMessage"},
+        {
+            "id": None,
+            "llm.conversation_id": "my-awesome-id",
+            "llm.foo": "bar",
+            "request_id": None,
+            "span_id": None,
+            "trace_id": "trace-id",
+            "content": "Milo",
+            "completion_id": None,
+            "sequence": 1,
+            "vendor": "langchain",
+            "ingest_source": "Python",
+            "is_response": True,
+            "virtual_llm": True,
+        },
+    ),
+]
 chat_completion_recorded_events_list_response = [
     (
         {"type": "LlmChatCompletionSummary"},
@@ -682,6 +736,35 @@
 ]
 
 
+@reset_core_stats_engine()
+@validate_custom_events(events_with_context_attrs(chat_completion_recorded_events_str_response))
+@validate_custom_event_count(count=7)
+@validate_transaction_metrics(
+    name="test_chain:test_langchain_chain_str_response",
+    scoped_metrics=[("Llm/chain/LangChain/invoke", 1)],
+    rollup_metrics=[("Llm/chain/LangChain/invoke", 1)],
+    custom_metrics=[(f"Supportability/Python/ML/LangChain/{langchain.__version__}", 1)],
+    background_task=True,
+)
+@background_task()
+def test_langchain_chain_str_response(set_trace_info, chat_openai_client):
+    set_trace_info()
+    add_custom_attribute("llm.conversation_id", "my-awesome-id")
+    add_custom_attribute("llm.foo", "bar")
+    add_custom_attribute("non_llm_attr", "python-agent")
+
+    template = """You are a helpful assistant who generates a random first name. A user will pass in a first letter, and you should generate a name that starts with that first letter."""
+    human_template = "{text}"
+
+    chat_prompt = langchain_core.prompts.ChatPromptTemplate.from_messages(
+        [("system", template), ("human", human_template)]
+    )
+    str_output_parser = langchain_core.output_parsers.string.StrOutputParser()
+    chain = chat_prompt | chat_openai_client | str_output_parser
+    with WithLlmCustomAttributes({"context": "attr"}):
+        chain.invoke({"text": "M"}, config={"metadata": {"id": "123"}})
+
+
 @reset_core_stats_engine()
 @validate_custom_events(events_with_context_attrs(chat_completion_recorded_events_list_response))
 @validate_custom_event_count(count=7)