sample code about azure rag

import os
import json
from dotenv import load_dotenv
# Add OpenAI import
from openai import AzureOpenAI

def main():
    try:
        # Flag to show citations
        show_citations = False

        # Get configuration settings
        load_dotenv()
        azure_oai_endpoint = os.getenv("AZURE_OAI_ENDPOINT")
        azure_oai_key = os.getenv("AZURE_OAI_KEY")
        azure_oai_deployment = os.getenv("AZURE_OAI_DEPLOYMENT")
        azure_search_endpoint = os.getenv("AZURE_SEARCH_ENDPOINT")
        azure_search_key = os.getenv("AZURE_SEARCH_KEY")
        azure_search_index = os.getenv("AZURE_SEARCH_INDEX")

        # Initialize the Azure OpenAI client
        client = AzureOpenAI(
            base_url=f"{azure_oai_endpoint}/openai/deployments/{azure_oai_deployment}/extensions",
            api_key=azure_oai_key,
            api_version="2023-09-01-preview"
        )

        # Get the prompt
        text = input('\nEnter a question:\n')

        # Configure your data source
        extension_config = dict(dataSources=[
            {
                "type": "AzureCognitiveSearch",
                "parameters": {
                    "endpoint": azure_search_endpoint,
                    "key": azure_search_key,
                    "indexName": azure_search_index,
                }
            }
        ])

        # Send request to Azure OpenAI model
        print("...Sending the following request to Azure OpenAI endpoint...")
        print("Request: " + text + "\n")
        
        response = client.chat.completions.create(
            model=azure_oai_deployment,
            temperature=0.5,
            max_tokens=1000,
            messages=[
                {"role": "system", "content": "You are a helpful travel agent"},
                {"role": "user", "content": text}
            ],
            extra_body=extension_config
        )

        # Print response
        print("Response: " + response.choices[0].message.content + "\n")
        
        if show_citations:
            # Print citations
            print("Citations:")
            citations = response.choices[0].message.context["messages"][0]["content"]
            citation_json = json.loads(citations)
            for c in citation_json["citations"]:
                print("  Title: " + c['title'] + "\n    URL: " + c['url'])

    except Exception as ex:
        print(ex)

if __name__ == '__main__':
    main()