ConversationConfig( conversation_config_override={ }

[blissful breach]

AI-generated Answer for supriya_06985

To update the system prompt for your conversational AI agent, you can use the API to make a PATCH request to the Update Agent endpoint. Here's an example of how you can structure your request to include a new system prompt:

from elevenlabs import ElevenLabs

client = ElevenLabs(api_key="YOUR_API_KEY")

client.conversational_ai.update_agent(
    agent_id="YOUR_AGENT_ID",
    conversation_config={
        "agent": {
            "prompt": {
                "prompt": "Your new system prompt here."
            }
        }
    }
)

Make sure to replace "YOUR_API_KEY" and "YOUR_AGENT_ID" with your actual API key and agent ID. This will update the system prompt for the specified agent. For more details, you can refer to the Update Agent documentation.

[plush glen]

config = ConversationConfig(
conversation_config_override=conversation_override
)

    conversation = Conversation(
        client=eleven_labs_client,
        agent_id=ELEVEN_LABS_AGENT_ID,
        requires_auth=False,
        audio_interface=audio_interface,
        client_tools=client_tools,
        callback_agent_response=lambda text: print(f"Agent said: {text}"),
        callback_user_transcript=lambda text: print(f"User said: {text}"),
        config=config
    )

will this work?

[blissful breach]

AI-generated Answer for supriya_06985

The code snippet you provided sets up a Conversation instance with a configuration override. However, without specific details on what conversation_override contains or how ConversationConfig and Conversation are implemented, it's difficult to confirm if it will work as intended.

To ensure it functions correctly, make sure that:

1. conversation_override includes the necessary parameters for your use case.
2. eleven_labs_client, ELEVEN_LABS_AGENT_ID, audio_interface, and client_tools are properly initialized and configured.
3. The callbacks callback_agent_response and callback_user_transcript are set up to handle the text as expected.

If you encounter any issues, you might want to check the documentation or examples related to the specific SDK or library you are using.

[plush glen]

'conversation_initiation_client_data': {'conversation_config_override': {'agent': {'prompt': {'prompt': 'Here are Twilio information for Internal use only: TwilioCallSid: CAade63279c1a2, TwilioCallerNumber: 3545467758'}, 'first_message': None, 'language': None}, 'tts': None}, 'custom_llm_extra_body': {}}}
i am getting the metadata like this, will i be able to extract data collection in elvenlabs? is it appending to system prompt

[blissful breach]

AI-generated Answer for supriya_06985

Currently, ElevenLabs Conversational AI does not support adding custom context per conversation directly through the web dashboard or API. You can enhance responses by including relevant information in the knowledge base and structuring your system prompt to cover common scenarios. However, direct text passing before conversation is not available.

For data collection, you can extract relevant information from call transcripts using custom prompts. This involves specifying criteria such as conversation topics or call types. However, the metadata you provided will not automatically append to the system prompt or be used for data collection in its current form.

[plush glen]

how can i do it

[blissful breach]

AI-generated Answer for supriya_06985

To update the system prompt dynamically in ElevenLabs Conversational AI, you can use the API to pass the desired context when starting a session. This allows you to override the system prompt and other settings for each conversation without manually configuring them in the UI.

Here's an example of how you can achieve this using the API:

conversation = await Conversation.startSession({
    overrides: {
        agent: {
            prompt: {
                prompt: "Here are Twilio information for Internal use only: TwilioCallSid: CAade63279c1a2, TwilioCallerNumber: 3545467758"
            },
            first_message: None,
            language: None
        },
        tts: None
    },
    ...
})

This method allows you to provide dynamic context for each conversation, such as prompts and first messages, directly through the API. This approach bypasses the need for manual configuration in the UI and ensures that the system prompt is updated for each session.

For more detailed information, you can refer to the API Documentation.

[plush glen]

will my entire system prompt change?