Chat Mode

elevenlabs agents pull --agent "<agent-name>"

{
  "conversation_config": {
    "conversation": {
      "text_only": true
    }
  }
}

elevenlabs agents push --agent "<agent-name>"

from elevenlabs import ElevenLabs

elevenlabs = ElevenLabs()

elevenlabs.conversational_ai.agents.update(
    agent_id="agent_7101k5zvyjhmfg983brhmhkd98n6",
    conversation_config={
        "conversation": {"text_only": True},
    },
)

import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";

const elevenlabs = new ElevenLabsClient();

await elevenlabs.conversationalAi.agents.update("agent_7101k5zvyjhmfg983brhmhkd98n6", {
  conversationConfig: {
    conversation: { textOnly: true },
  },
});

from elevenlabs.client import ElevenLabs
from elevenlabs.conversational_ai.conversation import Conversation, ConversationInitiationData

# Configure for text-only mode with proper structure
conversation_override = {
    "conversation": {
        "text_only": True
    }
}

config = ConversationInitiationData(
    conversation_config_override=conversation_override
)

conversation = Conversation(
    elevenlabs,
    agent_id,
    requires_auth=bool(api_key),
    config=config,
    # Important: Ensure agent_response callback is set
    callback_agent_response=lambda response: print(f"Agent: {response}"),
    callback_user_transcript=lambda transcript: print(f"User: {transcript}"),
)

conversation.start_session()

const conversation = await Conversation.startSession({
  agentId: "<your-agent-id>",
  overrides: {
    conversation: {
      textOnly: true,
    },
  },
});

def handle_agent_response(response):
    """Critical handler for displaying agent messages"""
    print(f"Agent: {response}")  # Update your UI with the response
    update_chat_ui(response)

config = ConversationInitiationData(
    conversation_config_override={"conversation": {"text_only": True}}
)

conversation = Conversation(
  elevenlabs,
  agent_id,
  config=config,
  callback_agent_response=handle_agent_response,
)

conversation.start_session()

const conversation = await Conversation.startSession({
  agentId: "<your-agent-id>",
  overrides: {
    conversation: {
      textOnly: true,
    },
  },
  // Critical: Handle agent responses
  onMessage: (message) => {
    if (message.type === "agent_response") {
      console.log("Agent:", message.text);
      // Display in your UI
      displayAgentMessage(message.text);
    }
  },
});

# Send a text message to the agent
conversation.send_user_message("Hello, how can you help me today?")

// Send a text message to the agent
conversation.sendUserMessage({
  text: "Hello, how can you help me today?",
});