Integrating OpenAI’s API with LiveKit’s VoicePipelineAgent offers a ton of different customization options to tailor the assistant’s behavior to your specific application needs. These customizations let you manage conversational flows, control response formats, fine-tune model behavior, and track conversation histories. Below is an overview of the key customization areas available:
Turn Detection
Understand and manage when each participant is speaking and when the assistant should respond. Proper turn detection is essential for a natural conversational flow.
Audio and Text Responses
Tailor the assistant’s responses to the appropriate medium—whether audio, text, or a combination of both. This flexibility allows you to optimize interactions so you can provide the type of experience that you want in your app.
Adjusting Model Parameters
Fine-tune the assistant’s responses by tweaking model parameters such as temperature and maximum tokens. These adjustments help you control the creativity, variability, and length of any responses generated by your assistant.
Transcripts
Get detailed transcripts of the conversations between participants and the assistant. Keeping a detailed history of conversations is great for features like review, analysis, and improving user interactions.
Working with the MultimodalAgent Class
The MultimodalAgent class provides a high-level interface for working with some of the newest features from OpenAI. Learn how to leverage this powerful new capability with an overview of the class and some sample code.