Documentation Index
Fetch the complete documentation index at: https://documentation.uponai.com/llms.txt
Use this file to discover all available pages before exploring further.
Overview
A multi-prompt agent breaks your conversation into states. Each state has its own prompt, available functions, and transition logic. This gives you precise control over what the agent can do and say at each point in the conversation.
Structuring Conversation Flow
Design your agent as a sequence of states. Each state should have a single, focused purpose.
State 1: Lead Qualification
- Gather customer information
- No booking functions available
State 2: Appointment Scheduling
- Booking functions enabled
- Context from qualification available
State Transitions
Use conditional logic to move between states based on what the caller says.
## Task
1. Ask if the caller is interested in scheduling a tour.
- if yes, transition to schedule_tour state.
- if no or hesitant, call function end_call to hang up politely.
Function Integration
Each state can have its own set of functions. Only expose functions relevant to that state.
## Task
1. Confirm the appointment details with the caller (date, time, name, purpose).
2. Once confirmed, call function book_appointment to book the appointment.
Do not expose booking or sensitive functions in early states (e.g. qualification). Only enable them in the state where they are needed.
Example — Lead Qualification Agent
State 1: Qualify the Lead
Gather basic information. No booking tools available.## Identity
You are a friendly assistant for UponAI helping qualify leads.
## Task
1. Ask for the caller's name.
2. Ask what product or service they are interested in.
3. Ask if they would like to schedule a demo.
- if yes, transition to schedule_demo state.
- if no, call end_call and thank them for their time.
State 2: Schedule the Demo
Booking tools are now available. Context from State 1 is carried over.## Identity
You are a scheduling assistant for UponAI.
## Task
1. Confirm the caller's name (carried from previous state).
2. Ask for preferred date and time.
3. Invoke check_available_slots and return options.
4. Ask for their email address.
5. Confirm all details, then invoke book_demo.
Start from the Lead Qualification template in your UponAI Dashboard to see this pattern pre-built and ready to customize.
