curl --request POST \
  --url https://api.threetone.in/v1/convai/agents/create \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "conversation_config": {
    "asr": {
      "quality": "high",
      "provider": "elevenlabs",
      "user_input_audio_format": "pcm_16000",
      "keywords": [
        "<string>"
      ]
    },
    "turn": {
      "turn_timeout": 7,
      "initial_wait_time": 123,
      "silence_end_call_timeout": -1,
      "soft_timeout_config": {
        "timeout_seconds": -1,
        "message": "Hhmmmm...yeah.",
        "use_llm_generated_message": false
      },
      "speculative_turn": false
    },
    "tts": {
      "model_id": "eleven_flash_v2",
      "voice_id": "cjVigY5qzO86Huf0OWal",
      "supported_voices": [
        {
          "label": "<string>",
          "voice_id": "<string>",
          "description": "<string>",
          "language": "<string>",
          "model_family": "<string>",
          "stability": 0.5,
          "speed": 0.95,
          "similarity_boost": 0.5
        }
      ],
      "expressive_mode": true,
      "suggested_audio_tags": [
        {
          "tag": "<string>",
          "description": "<string>"
        }
      ],
      "agent_output_audio_format": "pcm_16000",
      "optimize_streaming_latency": 3,
      "stability": 0.5,
      "speed": 1,
      "similarity_boost": 0.8,
      "text_normalisation_type": "system_prompt",
      "pronunciation_dictionary_locators": [
        {
          "pronunciation_dictionary_id": "<string>",
          "version_id": "<string>"
        }
      ]
    },
    "conversation": {
      "text_only": false,
      "max_duration_seconds": 600,
      "client_events": [],
      "file_input": {
        "enabled": true,
        "max_files_per_conversation": 10
      },
      "monitoring_enabled": false,
      "monitoring_events": []
    },
    "language_presets": {},
    "agent": {
      "first_message": "",
      "language": "en",
      "dynamic_variables": {
        "dynamic_variable_placeholders": {
          "user_name": "John Doe"
        }
      },
      "disable_first_message_interruptions": false,
      "max_conversation_duration_message": "",
      "prompt": {
        "knowledge_base": [],
        "llm": "gemini-2.5-flash",
        "max_tokens": -1,
        "mcp_server_ids": [],
        "native_mcp_server_ids": [],
        "prompt": "You are a helpful assistant that can answer questions about the topic of the conversation.",
        "temperature": 0,
        "tool_ids": []
      }
    }
  },
  "name": "My agent"
}
'

import requests

url = "https://api.threetone.in/v1/convai/agents/create"

payload = {
    "conversation_config": {
        "asr": {
            "quality": "high",
            "provider": "elevenlabs",
            "user_input_audio_format": "pcm_16000",
            "keywords": ["<string>"]
        },
        "turn": {
            "turn_timeout": 7,
            "initial_wait_time": 123,
            "silence_end_call_timeout": -1,
            "soft_timeout_config": {
                "timeout_seconds": -1,
                "message": "Hhmmmm...yeah.",
                "use_llm_generated_message": False
            },
            "speculative_turn": False
        },
        "tts": {
            "model_id": "eleven_flash_v2",
            "voice_id": "cjVigY5qzO86Huf0OWal",
            "supported_voices": [
                {
                    "label": "<string>",
                    "voice_id": "<string>",
                    "description": "<string>",
                    "language": "<string>",
                    "model_family": "<string>",
                    "stability": 0.5,
                    "speed": 0.95,
                    "similarity_boost": 0.5
                }
            ],
            "expressive_mode": True,
            "suggested_audio_tags": [
                {
                    "tag": "<string>",
                    "description": "<string>"
                }
            ],
            "agent_output_audio_format": "pcm_16000",
            "optimize_streaming_latency": 3,
            "stability": 0.5,
            "speed": 1,
            "similarity_boost": 0.8,
            "text_normalisation_type": "system_prompt",
            "pronunciation_dictionary_locators": [
                {
                    "pronunciation_dictionary_id": "<string>",
                    "version_id": "<string>"
                }
            ]
        },
        "conversation": {
            "text_only": False,
            "max_duration_seconds": 600,
            "client_events": [],
            "file_input": {
                "enabled": True,
                "max_files_per_conversation": 10
            },
            "monitoring_enabled": False,
            "monitoring_events": []
        },
        "language_presets": {},
        "agent": {
            "first_message": "",
            "language": "en",
            "dynamic_variables": { "dynamic_variable_placeholders": { "user_name": "John Doe" } },
            "disable_first_message_interruptions": False,
            "max_conversation_duration_message": "",
            "prompt": {
                "knowledge_base": [],
                "llm": "gemini-2.5-flash",
                "max_tokens": -1,
                "mcp_server_ids": [],
                "native_mcp_server_ids": [],
                "prompt": "You are a helpful assistant that can answer questions about the topic of the conversation.",
                "temperature": 0,
                "tool_ids": []
            }
        }
    },
    "name": "My agent"
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    conversation_config: {
      asr: {
        quality: 'high',
        provider: 'elevenlabs',
        user_input_audio_format: 'pcm_16000',
        keywords: ['<string>']
      },
      turn: {
        turn_timeout: 7,
        initial_wait_time: 123,
        silence_end_call_timeout: -1,
        soft_timeout_config: {
          timeout_seconds: -1,
          message: 'Hhmmmm...yeah.',
          use_llm_generated_message: false
        },
        speculative_turn: false
      },
      tts: {
        model_id: 'eleven_flash_v2',
        voice_id: 'cjVigY5qzO86Huf0OWal',
        supported_voices: [
          {
            label: '<string>',
            voice_id: '<string>',
            description: '<string>',
            language: '<string>',
            model_family: '<string>',
            stability: 0.5,
            speed: 0.95,
            similarity_boost: 0.5
          }
        ],
        expressive_mode: true,
        suggested_audio_tags: [{tag: '<string>', description: '<string>'}],
        agent_output_audio_format: 'pcm_16000',
        optimize_streaming_latency: 3,
        stability: 0.5,
        speed: 1,
        similarity_boost: 0.8,
        text_normalisation_type: 'system_prompt',
        pronunciation_dictionary_locators: [{pronunciation_dictionary_id: '<string>', version_id: '<string>'}]
      },
      conversation: {
        text_only: false,
        max_duration_seconds: 600,
        client_events: [],
        file_input: {enabled: true, max_files_per_conversation: 10},
        monitoring_enabled: false,
        monitoring_events: []
      },
      language_presets: {},
      agent: {
        first_message: '',
        language: 'en',
        dynamic_variables: {dynamic_variable_placeholders: {user_name: 'John Doe'}},
        disable_first_message_interruptions: false,
        max_conversation_duration_message: '',
        prompt: {
          knowledge_base: [],
          llm: 'gemini-2.5-flash',
          max_tokens: -1,
          mcp_server_ids: [],
          native_mcp_server_ids: [],
          prompt: 'You are a helpful assistant that can answer questions about the topic of the conversation.',
          temperature: 0,
          tool_ids: []
        }
      }
    },
    name: 'My agent'
  })
};

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

{
  "agent_id": "<string>"
}

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