@Vapi does the block mode us the root prompt or only the first block prompt

@anw Block mode in VAPI typically refers to a way of handling voice input where the system waits for the user to finish speaking before processing the entire block of speech. It does not specifically relate to using the root prompt or the first block prompt; rather, it's about the timing of when the speech is processed. If you're asking about how prompts are used in a conversational context, the system might use the root prompt as a starting point for the conversation and then use subsequent prompts based on the user's responses and the flow of the conversation. If you need more specific information about block mode or prompts in VAPI, please provide additional context or clarify your question, and I'll be happy to help further!

@Vapi multiprompt agent

@anw In a multi-prompt agent setup, you have a system where different assistants or agents handle various parts of a conversation or workflow. Each agent is specialized in a particular area and prompts the user for specific information related to their domain. For example, in a customer service scenario, one agent might handle initial contact and gather basic information, then transfer the call to another agent who specializes in technical support for more detailed troubleshooting. If you're looking to implement or manage a multi-prompt agent system with VAPI, you would design each agent to handle specific intents or parts of the conversation. When one agent completes its part, it would hand off to the next agent in the workflow. Would you like to know how to set up such a system or how to manage the conversation flow between different agents? Please provide more details so I can assist you accordingly.

@Vapi is multiprompt agent based on openai multimodal feature?

@anw No, a multi-prompt agent is not inherently based on OpenAI's multimodal features. A multi-prompt agent refers to a conversational system that can handle multiple prompts or stages within a dialogue, potentially involving different specialized agents or modules for various tasks or topics. OpenAI's multimodal features, on the other hand, refer to models that can understand and generate content across different modes of communication, such as text and images. These models can process and respond to inputs that combine different types of data, like a picture and a question about that picture. While a multi-prompt agent system could potentially incorporate multimodal capabilities if designed to do so, the concept of a multi-prompt agent is not dependent on or exclusive to multimodal technology. It's more about the structure and flow of the conversation within a voice or text-based system.

@Vapi how does multiprompt work on the backend? how is it able to switch prompt states