I am trying to apply a chatbot using the Azure OpenAI service with my own data. I want to give it specific instructions to personalize it. Since it utilizes ChatGPT, I can communicate with it in almost any language. Therefore, I have instructed it to respond to user queries in the language they were asked. Additionally, I have given it a name. However, it always responds in English to the first question (for subsequent questions it mostly changes), and when I ask for its name, it says it does not have one. This suggests that my “system message” is not being considered at all. I would be grateful for any help.

import os
import openai
import dotenv
import re

dotenv.load_dotenv()

endpoint = os.environ.get("AZURE_OAI_ENDPOINT")
api_key = os.environ.get("AZURE_OAI_KEY")
deployment = os.environ.get("AZURE_OAI_DEPLOYMENT")

client = openai.AzureOpenAI(
    azure_endpoint=endpoint,
    api_key=api_key,
    api_version="2024-02-01",
)


# Initial system message
system_message = {
    "role": "system",
    "content": "Sei un assistente virtuale chiamato Jonathan. Rispondi sempre nella stessa lingua della domanda dell'utente.",
}

def get_response(user_query):
    completion = client.chat.completions.create(
        model=deployment,
        temperature=0.5,
        max_tokens=1000,
        messages=[
            system_message,
            {
                "role": "user",
                "content": user_query,
            },
        ],
        extra_body={
            "data_sources": [
                {
                    "type": "azure_search",
                    "parameters": {
                        "endpoint": os.environ["AZURE_SEARCH_ENDPOINT"],
                        "index_name": os.environ["AZURE_SEARCH_INDEX"],
                        "authentication": {
                            "type": "api_key",
                            "key": os.environ["AZURE_SEARCH_KEY"],
                        }
                    }
                }
            ],
        }
    )

    # Extract the response content
    response_content = completion.choices[0].message.content

    # Remove references like [doc4] using regex
    cleaned_response_content = re.sub(r'[docd+]', '', response_content)
    
    return cleaned_response_content

def main():
    while True:
        # Prompt the user for input
        user_query = input("Per favore inserisci la tua domanda (o 'esci' per terminare): ")

        if user_query.lower() in ['esci', 'exit', 'quit']:
            print("Bye bye!")
            break

        # Get and print the response
        response = get_response(user_query)
        print("Response: " + "n" + response + "n")

if __name__ == '__main__':
    main()