curl --request POST \
  --url https://api.threetone.in/v1/convai/batch-calling/submit \
  --header 'Content-Type: application/json' \
  --data '
{
  "call_name": "<string>",
  "agent_id": "<string>",
  "recipients": [
    {
      "id": "<string>",
      "phone_number": "<string>",
      "whatsapp_user_id": "<string>",
      "conversation_initiation_client_data": {
        "conversation_config_override": {
          "agent": {
            "first_message": "Hello, how can I help you today?",
            "language": "en",
            "prompt": {
              "knowledge_base": [],
              "llm": "gemini-2.0-flash-001",
              "prompt": "You are a helpful assistant that can answer questions about the topic of the conversation.",
              "tool_ids": []
            }
          },
          "tts": {
            "performance": "latency",
            "voice_id": "ME9RtCnWp5vX2LhJdF3k"
          }
        },
        "custom_llm_extra_body": {},
        "user_id": "<string>",
        "source_info": {
          "source": "unknown",
          "version": "<string>"
        },
        "branch_id": "<string>",
        "environment": "<string>",
        "starting_workflow_node_id": "<string>",
        "procedure_ids": [
          "<string>"
        ],
        "dynamic_variables": {}
      }
    }
  ]
}
'

import requests

url = "https://api.threetone.in/v1/convai/batch-calling/submit"

payload = {
    "call_name": "<string>",
    "agent_id": "<string>",
    "recipients": [
        {
            "id": "<string>",
            "phone_number": "<string>",
            "whatsapp_user_id": "<string>",
            "conversation_initiation_client_data": {
                "conversation_config_override": {
                    "agent": {
                        "first_message": "Hello, how can I help you today?",
                        "language": "en",
                        "prompt": {
                            "knowledge_base": [],
                            "llm": "gemini-2.0-flash-001",
                            "prompt": "You are a helpful assistant that can answer questions about the topic of the conversation.",
                            "tool_ids": []
                        }
                    },
                    "tts": {
                        "performance": "latency",
                        "voice_id": "ME9RtCnWp5vX2LhJdF3k"
                    }
                },
                "custom_llm_extra_body": {},
                "user_id": "<string>",
                "source_info": {
                    "source": "unknown",
                    "version": "<string>"
                },
                "branch_id": "<string>",
                "environment": "<string>",
                "starting_workflow_node_id": "<string>",
                "procedure_ids": ["<string>"],
                "dynamic_variables": {}
            }
        }
    ]
}
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    call_name: '<string>',
    agent_id: '<string>',
    recipients: [
      {
        id: '<string>',
        phone_number: '<string>',
        whatsapp_user_id: '<string>',
        conversation_initiation_client_data: {
          conversation_config_override: {
            agent: {
              first_message: 'Hello, how can I help you today?',
              language: 'en',
              prompt: {
                knowledge_base: [],
                llm: 'gemini-2.0-flash-001',
                prompt: 'You are a helpful assistant that can answer questions about the topic of the conversation.',
                tool_ids: []
              }
            },
            tts: {performance: 'latency', voice_id: 'ME9RtCnWp5vX2LhJdF3k'}
          },
          custom_llm_extra_body: {},
          user_id: '<string>',
          source_info: {source: 'unknown', version: '<string>'},
          branch_id: '<string>',
          environment: '<string>',
          starting_workflow_node_id: '<string>',
          procedure_ids: ['<string>'],
          dynamic_variables: {}
        }
      }
    ]
  })
};

fetch('https://api.threetone.in/v1/convai/batch-calling/submit', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "id": "<string>",
  "phone_number_id": "<string>",
  "phone_provider": "twilio",
  "whatsapp_params": {
    "whatsapp_call_permission_request_template_name": "<string>",
    "whatsapp_call_permission_request_template_language_code": "<string>",
    "whatsapp_phone_number_id": "<string>"
  },
  "name": "<string>",
  "agent_id": "<string>",
  "branch_id": "<string>",
  "environment": "<string>",
  "created_at_unix": 123,
  "scheduled_time_unix": 123,
  "timezone": "<string>",
  "total_calls_dispatched": 0,
  "total_calls_scheduled": 0,
  "total_calls_finished": 0,
  "last_updated_at_unix": 123,
  "status": "pending",
  "retry_count": 0,
  "telephony_call_config": {
    "ringing_timeout_secs": 60,
    "twilio_call_recording_enabled": false,
    "twilio_machine_detection": {
      "mode": "enable"
    }
  },
  "target_concurrency_limit": 2,
  "agent_name": "<string>",
  "branch_name": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}