diff --git a/src/backend/base/langflow/base/models/model.py b/src/backend/base/langflow/base/models/model.py
index eb2f4b36c..c1ff98952 100644
--- a/src/backend/base/langflow/base/models/model.py
+++ b/src/backend/base/langflow/base/models/model.py
@@ -1,3 +1,4 @@
+import json
 import warnings
 from typing import Optional, Union
 
@@ -108,10 +109,13 @@ class LCModelComponent(Component):
             return runnable.stream(inputs)
         else:
             message = runnable.invoke(inputs)
-            result = message.content
+            result = message.content if hasattr(message, "content") else message
             if isinstance(message, AIMessage):
                 status_message = self.build_status_message(message)
                 self.status = status_message
+            elif isinstance(result, dict):
+                result = json.dumps(message, indent=4)
+                self.status = result
             else:
                 self.status = result
             return result
diff --git a/src/backend/base/langflow/components/models/OpenAIModel.py b/src/backend/base/langflow/components/models/OpenAIModel.py
index c5bbe02d3..1960572c5 100644
--- a/src/backend/base/langflow/components/models/OpenAIModel.py
+++ b/src/backend/base/langflow/components/models/OpenAIModel.py
@@ -1,4 +1,5 @@
 from langchain_openai import ChatOpenAI
+from langflow.schema.message import Message
 from pydantic.v1 import SecretStr
 
 from langflow.base.constants import STREAM_INFO_TEXT
@@ -32,6 +33,13 @@ class OpenAIModelComponent(LCModelComponent):
             info="The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
         ),
         DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
+        DictInput(
+            name="schema",
+            is_list=True,
+            display_name="Schema",
+            advanced=True,
+            info="The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.",
+        ),
         DropdownInput(
             name="model_name", display_name="Model Name", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]
         ),
@@ -75,7 +83,7 @@ class OpenAIModelComponent(LCModelComponent):
         Output(display_name="Language Model", name="model_output", method="build_model"),
     ]
 
-    def text_response(self) -> Text:
+    def text_response(self) -> Message:
         input_value = self.input_value
         stream = self.stream
         system_message = self.system_message
@@ -91,15 +99,12 @@ class OpenAIModelComponent(LCModelComponent):
         max_tokens = self.max_tokens
         model_kwargs = self.model_kwargs
         openai_api_base = self.openai_api_base or "https://api.openai.com/v1"
-        json_mode = self.json_mode
+        json_mode = bool(self.schema)
         seed = self.seed
         if openai_api_key:
             api_key = SecretStr(openai_api_key)
         else:
             api_key = None
-        response_format = None
-        if json_mode:
-            response_format = {"type": "json_object"}
         output = ChatOpenAI(
             max_tokens=max_tokens or None,
             model_kwargs=model_kwargs or {},
@@ -107,8 +112,9 @@ class OpenAIModelComponent(LCModelComponent):
             base_url=openai_api_base,
             api_key=api_key,
             temperature=temperature or 0.1,
-            response_format=response_format,
             seed=seed,
         )
+        if json_mode:
+            output = output.with_structured_output(schema=self.schema, method="json_mode")
 
         return output