diff --git a/libs/community/langchain_community/llms/azureml_endpoint.py b/libs/community/langchain_community/llms/azureml_endpoint.py
index f2b5eed2e1..0230368a79 100644
--- a/libs/community/langchain_community/llms/azureml_endpoint.py
+++ b/libs/community/langchain_community/llms/azureml_endpoint.py
@@ -291,7 +291,15 @@ class CustomOpenAIContentFormatter(ContentFormatterBase):
                 }
             )
         elif api_type == AzureMLEndpointApiType.serverless:
-            request_payload = json.dumps({"prompt": prompt, **model_kwargs})
+            request_payload = json.dumps({
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": prompt
+                    }
+                ],
+                **model_kwargs
+            })
         else:
             raise ValueError(
                 f"`api_type` {api_type} is not supported by this formatter"
@@ -313,17 +321,23 @@ class CustomOpenAIContentFormatter(ContentFormatterBase):
             return Generation(text=choice)
         if api_type == AzureMLEndpointApiType.serverless:
             try:
-                choice = json.loads(output)["choices"][0]
+                response_json = json.loads(output)
+                choice = response_json["choices"][0]
                 if not isinstance(choice, dict):
                     raise TypeError(
-                        "Endpoint response is not well formed for a chat "
-                        "model. Expected `dict` but `{type(choice)}` was "
-                        "received."
+                        f"Endpoint response is not well formed for a chat "
+                        f"model. Expected `dict` but `{type(choice)}` was "
+                        f"received."
                     )
-            except (KeyError, IndexError, TypeError) as e:
-                raise ValueError(self.format_error_msg.format(api_type=api_type)) from e  # type: ignore[union-attr]
+                # Extracting the 'message.content' field
+                message = choice.get("message", {})
+                content = message.get("content", "").strip()
+                if not content:
+                    raise ValueError("No 'content' field found in the response message.")
+            except (KeyError, IndexError, TypeError, ValueError) as e:
+                raise ValueError(self.format_error_msg.format(api_type=api_type)) from e
             return Generation(
-                text=choice["text"].strip(),
+                text=content,
                 generation_info=dict(
                     finish_reason=choice.get("finish_reason"),
                     logprobs=choice.get("logprobs"),
@@ -331,7 +345,6 @@ class CustomOpenAIContentFormatter(ContentFormatterBase):
             )
         raise ValueError(f"`api_type` {api_type} is not supported by this formatter")
 
-
 class LlamaContentFormatter(CustomOpenAIContentFormatter):
     """Deprecated: Kept for backwards compatibility