Azure AI Foundry for Enterprise AI: Architecture & Integration

from azure.identity import DefaultAzureCredential, get_bearer_token_provider
from openai import AzureOpenAI

def generate_azure_foundry_completion(prompt: str) -> str:
  """
  Invokes Azure OpenAI endpoint inside Azure AI Foundry using Entra ID authentication.
  """
  endpoint = "https://esaholic-ai-foundry.openai.azure.com/"
  deployment_name = "gpt-4o-production"
  
  # Entra ID token provider for passwordless security
  credential = DefaultAzureCredential()
  token_provider = get_bearer_token_provider(
      credential, 
      "https://cognitiveservices.azure.com/.default"
  )

  client = AzureOpenAI(
      azure_endpoint=endpoint,
      azure_ad_token_provider=token_provider,
      api_version="2024-10-21"
  )

  response = client.chat.completions.create(
      model=deployment_name,
      messages=[
          {"role": "system", "content": "You are an enterprise AI architect assistant."},
          {"role": "user", "content": prompt}
      ],
      temperature=0.1,
      max_tokens=1000
  )

  return response.choices[0].message.content

if __name__ == "__main__":
  query = "Detail the security advantages of using Azure Private Link with Azure AI Foundry."
  output = generate_azure_foundry_completion(query)
  print("Azure AI Foundry Output:", output[:300])