docs(openai-structured-output): add comment (langfuse#765)

Author: hassiebp

cookbook/integration_openai_structured_output.ipynb

@@ -101,6 +101,13 @@
         "(Example taken from [OpenAI cookbook](https://cookbook.openai.com/examples/structured_outputs_intro))"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "**Note:** While OpenAI also offer structured output parsing via its beta API (`client.beta.chat.completions.parse`), this approach currently does not allow setting Langfuse specific attributes such as `name`, `metadata`, `userId` etc. Please use the approach using `response_format` with the standard `client.chat.completions.create` as described below."
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 3,

pages/docs/integrations/openai/python/structured-outputs.md

@@ -55,6 +55,8 @@ This setup is useful for applications where each step needs to be displayed sepa
 
 (Example taken from [OpenAI cookbook](https://cookbook.openai.com/examples/structured_outputs_intro))
 
+**Note:** While OpenAI also offer structured output parsing via its beta API (`client.beta.chat.completions.parse`), this approach currently does not allow setting Langfuse specific attributes such as `name`, `metadata`, `userId` etc. Please use the approach using `response_format` with the standard `client.chat.completions.create` as described below.
+
 
 ```python
 # Use the Langfuse drop-in replacement to get full logging by changing only the import.

pages/guides/cookbook/integration_openai_structured_output.md

@@ -55,6 +55,8 @@ This setup is useful for applications where each step needs to be displayed sepa
 
 (Example taken from [OpenAI cookbook](https://cookbook.openai.com/examples/structured_outputs_intro))
 
+**Note:** While OpenAI also offer structured output parsing via its beta API (`client.beta.chat.completions.parse`), this approach currently does not allow setting Langfuse specific attributes such as `name`, `metadata`, `userId` etc. Please use the approach using `response_format` with the standard `client.chat.completions.create` as described below.
+
 
 ```python
 # Use the Langfuse drop-in replacement to get full logging by changing only the import.