[Python] Error: Operation returned an invalid status 'Bad Request' on client.complete

I am using below code to get data from "Mistral-Nemo" model hosted as SaaS in Azure AI Foundry. It gives me below error:

An unhandled exception of type 'Azure.RequestFailedException' occurred in Azure.AI.Inference.dll: 'Auth token validation failed. Please provide a valid key or a valid AAD token
Status: 401 (Unauthorized)
​

I have looked into the permissions and make sure my SP has required permissions and it also has "Coginitive Support User" and "Cognitive User Contributor" role and trying to implement using Service Principal

When i use the same code with Azure API Key and AzureKeyCredential it works. https://github.com/MicrosoftDocs/az...rence/includes/use-chat-completions/csharp.md

import os
from azure.ai.inference import ChatCompletionsClient
from azure.ai.inference.models import SystemMessage, UserMessage
from azure.identity import DefaultAzureCredential, ClientSecretCredential
import logging
from azure.core.pipeline.policies import HttpLoggingPolicy

endpoint = "https://abcdomain.services.ai.azure.com/models"
model_deployment_name = "Mistral-Nemo"

Client_Id = "xxxxxxxxxxxxxxxxxxxxxxxx"
Client_Secret = "xxxxxxxxxxxxxxxxxxx"
Tenant_Id = "xxxxxxxxxxxxxxxxxxxxxxxxx"

cred = ClientSecretCredential(
tenant_id=Tenant_Id,
client_id=Client_Id,
client_secret=Client_Secret
)

client = ChatCompletionsClient(
endpoint=endpoint,
credential=cred,
credential_scopes=["https://cognitiveservices.azure.com/.default"]
)

try:
result = client.complete(
messages=[
SystemMessage(content="You are a helpful assistant."),
UserMessage(content="How many languages are in the world?"),
],
temperature=0.8,
top_p=0.1,
max_tokens=2048,
stream=True,
model=model_deployment_name,
)
except Exception as e:
print("Error:", e)

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