Production Monitoring for Customer Support Chat Agents

mkdir customer-support-agent && cd customer-support-agent
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install openai python-dotenv voker

VOKER_API_KEY=your_voker_api_key
OPENAI_API_KEY=your_openai_api_key

from voker.ai.provider_openai import OpenAI         
from dotenv import load_dotenv

load_dotenv()

client = OpenAI()

SYSTEM_PROMPT = "You are a helpful customer support agent. Ask the user how their day is going and if they need any assistance."

def run_customer_support_agent(messages: list[dict[str, str]], user_message: str) -> str:
    def chat(messages):
        return client.chat.completions.create(
            voker_agent="customer-support-agent",            
            voker_session='demo-session-1',               
            model="gpt-4.1-mini",
            messages=messages,
        )

    messages.append({"role": "user", "content": user_message})

    response = chat(messages)

    assistant_message = response.choices[0].message.content or ""
    messages.append({"role": "assistant", "content": assistant_message})

    return assistant_message


if __name__ == "__main__":
    messages = [{"role": "system", "content": SYSTEM_PROMPT}]

    while True:
        user_input = input("\nEnter your message to the support agent: ")

        if user_input.lower() in {"exit"}:
            break

        response = run_customer_support_agent(messages, user_input)

        print(f"\nAssistant: {response}")

python main.py