No Model Name issue

While using the ChatCompletionsClient everything seems to be working properly, but when I make use of the AzureAIChatCompletionsModel, using the below documentation.
https://learn.microsoft.com/en-us/azure/ai-studio/how-to/develop/langchain
and code:

import os
from langchain_azure_ai.chat_models import AzureAIChatCompletionsModel
from langchain_core.messages import HumanMessage, SystemMessage

model = AzureAIChatCompletionsModel(
endpoint={endpoint},
credential={api}
# added the model_name here before but it doesn't seem to work
)

messages = [
SystemMessage(content="Translate the following from English into Italian"),
HumanMessage(content="hi!"),
]
resp = model.invoke(messages) #here is throws straight up error, "model_name" arg not expected
print(resp)

Below Error is getting generated:
raise HttpResponseError(response=response)
azure.core.exceptions.HttpResponseError: (no_model_name) No model specified in request. Please provide a model name in the request body or as a x-ms-model-mesh-model-name header.
Code: no_model_name
Message: No model specified in request. Please provide a model name in the request body or as a x-ms-model-mesh-model-name header.

I understand it is expecting a model_name somewhere, but can someone help me with where should I exactly feed it.

I wanted to make use of the "DeepSeek-R1" that I have deployed on AI-Foundry, and want to use with langchain to create a RAG Pipeline.

Start with the linked Azure AI Studio documentation and the AzureAIChatCompletionsModel constructor and invocation shown in the report. Trace how the deployed DeepSeek-R1 model should be represented in the request, then verify that model.invoke(messages) completes without the no_model_name error.