Do you have to use streaming for custom llm url?

response = openai.chat.completions.create(
            model="gpt-4o",
            messages=request.messages,
            stream=True,
    )
async def stream_response(stream):
    for r in stream:
        yield f"data: {r.model_dump_json()}\n\n"
    yield "data: [DONE]"

return StreamingResponse(stream_response(response), media_type="text/event-stream")

response = openai.chat.completions.create(
            model="gpt-4o",
            messages=request.messages,
            stream=True,
    )
async def stream_response(stream):
    for r in stream:
        yield f"data: {r.model_dump_json()}\n\n"
    yield "data: [DONE]"

return StreamingResponse(stream_response(response), media_type="text/event-stream")

res = openai.chat.completions.create(
        model="gpt-4o",
        messages=request.messages,
    )
  return res.model_dump_json()

res = openai.chat.completions.create(
        model="gpt-4o",
        messages=request.messages,
    )
  return res.model_dump_json()