from vapi import Vapi

client = Vapi(token=MY_TOKEN) ## private key

with open("assistant_create.json", "r") as f:
    conf = json.load(f)


response = client.assistants.create(**conf)

{
  "name": "Movie Booking Assistant",
  "model": {
    "model": "gpt-4o",
    "messages": [
      {
        "role": "system",
        "content": "# You are a helpful movie ticket booking assistant. \n## Your job is to collect following details from the user:\n- Name of the movie\n- The date of the movie\n- The number of people attending\n- The venue (city or theater name)\n## Instructions\n- Ask one question at a time. Do not guess or assume missing information. Be conversational and friendly.\n- After collecting all the above details, summarize the booking once.\n- If the user says yes to the final summary , then end the chat with \"Thank you for booking with us!\""
      }
    ],
    "provider": "openai"
  },
  "first_message": "Welcome to the movie ticket booking system. How can i help you?",
  "voicemail_message": "Please call back when you're available.",
  "end_call_message": "Goodbye.",
  "transcriber": {
    "model": "nova-2",
    "language": "en",
    "provider": "deepgram"
  },
  "voice" :{
        "provider": "custom-voice",
        "server" : {
            "url": MY_TTS_ENDPOINT,
            "secret": "",
            "timeoutSeconds": 45,
            "headers": {"Content-Type": "application/json", "X-API-Version": "v1"}
        }
        
    }
}

voiceId

json
"voice": {
  "provider": "custom-voice",
  "server": {
    "url": "YOUR_TTS_ENDPOINT",
    "secret": "",
    "timeoutSeconds": 45,
    "headers": {
      "Content-Type": "application/json",
      "X-API-Version": "v1"
    }
  }
}

voiceId

"voice" :{
        "provider": "custom-voice",
        "server" : {
            "url": MY_TTS_ENDPOINT,
            "secret": "",
            "timeoutSeconds": 45,
            "headers": {"Content-Type": "application/json", "X-API-Version": "v1"}
        }
        
    }

voiceId

model

voiceId

model