How I can define nodes and edges in livekit workflow

Thanks for reaching out, Umair. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

let say I can to make appointment agent. First use speaks and agent response and if agent detects what usser intent is it try to ask user about there information. si there are two nodes actuall one is for greeting and then node which will be for asking user their inforamtion. and these nodes are connected conditionally

I'd love to help you create a workflow with nodes and conditional connections in LiveKit! Here's a friendly approach you can try: 1. Define Multiple Agents or Tools: Think of creating separate agents or tools for each part of your workflow, like greeting the user first and then gathering their information. 2. Use Conditional Handoffs: You can smoothly transition between nodes (agents or tools) based on what the user says or their intent. For example, after saying hello, you can hand off to a tool that collects their details. 3. Manage State with User Data: Keeping track of user info and choices with a shared state object helps maintain continuity throughout the workflow. 4. Implement Conditional Branching: Use simple logic to decide the next step depending on user responses. Like, if the user shares their name, move forward; if not, gently ask again. 5. Use Pipeline Hooks: Customize what happens at different points using hooks like

on_enter()

and

on_exit()

. For instance, you can warmly greet the user when they enter the first node. These steps can help you build a dynamic and thoughtful workflow with conditional logic. If you'd like, I’m here to provide a specific code example or guide you further—just let me know! Sources: examples/README.md | flows/multi_stage_flow.py | Pipeline nodes and hooks | LiveKit Docs | agent.py

could you built an example greeting happens and then agent asks waht they need, if usr said to schedule an appointment the agent ask user to say their name and date of birth and agent say okay done

I'd love to walk you through an example of how you can build a LiveKit workflow that warmly greets a user, helps schedule an appointment, and collects their name and date of birth: 1. Greeting: Begin with an agent that kindly greets the user and asks how they can assist. For example:

await self.session.say("Hello! How can I assist you today?")

2. Detect Intent: Next, use a tool or some logic to understand if the user wants to schedule an appointment. If that’s the case, you can smoothly move on to the next step. 3. Collect Name and Date of Birth: Here, you’ll want to gather the user’s name and date of birth using function tools. For example: `name = await self.session.ask("Can you please tell me your name?") dob = await self.session.ask("What is your date of birth?")`It’s a good idea to store this information in the session state or userdata so you can refer back to it later. 4. Confirm and Complete: Once you have all the details, kindly confirm everything with the user and wrap up the workflow:

await self.session.say(f"Thank you, {name}. Your appointment has been scheduled.")

This workflow really makes the most of LiveKit’s session management and tools to keep things running smoothly and maintain context. If you’d like me to provide a more detailed code template or any extra guidance, just let me know—I’m here to help! Sources: examples/frontdesk/calendar_api.py | examples/src/frontdesk/calendar_api.ts | Workflows | LiveKit Docs | flows/simple_flow.py

could you provide complete code