Lease Renewal AI Voice Agent Guide

Build an AI Voice Agent for lease renewal with this comprehensive guide. Includes code examples and testing instructions.

Introduction to AI Voice Agents in Lease Renewal

In today's fast-paced world, AI Voice Agents are transforming how industries operate, including the lease renewal sector. These intelligent agents can handle routine inquiries, guide users through processes, and provide essential information, making them invaluable tools for property managers and tenants alike.

What is an AI

Voice Agent

?

An AI

Voice Agent

 is a software program designed to interact with users through voice commands. It uses advanced technologies like speech-to-text (STT), natural language processing (NLP), and text-to-speech (TTS) to understand and respond to user queries.

Why are they important for the lease renewal industry?

In the lease renewal industry, AI Voice Agents can streamline operations by automating responses to common questions, providing guidance on lease terms, and assisting with the renewal process. This not only enhances efficiency but also improves user experience by offering immediate assistance.

Core Components of a

Voice Agent

  • Speech-to-Text (STT): Converts spoken language into text.
  • Large Language Model (LLM): Processes and understands the text to generate meaningful responses.
  • Text-to-Speech (TTS): Converts text responses back into spoken language.
For a comprehensive understanding, refer to the

AI voice Agent core components overview

.

What You'll Build in This Tutorial

In this tutorial, you'll learn how to build an AI

Voice Agent

 specifically tailored for lease renewal processes using the VideoSDK framework. We'll guide you through setting up the environment, creating the agent, and testing it in a real-world scenario.

Architecture and Core Concepts

High-Level Architecture Overview

The AI

Voice Agent

 operates by capturing user speech, converting it to text, processing the text to generate a response, and then converting the response back to speech. This seamless flow ensures a natural interaction between the user and the agent.
Diagram

Understanding Key Concepts in the VideoSDK Framework

  • Agent: The core class representing your bot, responsible for managing interactions.
  • CascadingPipeline: Manages the flow of audio processing, integrating STT, LLM, and TTS. For more details, explore the

    Cascading pipeline in AI voice Agents

    .
  • VAD & TurnDetector: Ensure the agent listens and responds at appropriate times. Learn more about the

    Turn detector for AI voice Agents

    .

Setting Up the Development Environment

Prerequisites

Before you begin, ensure you have Python 3.11+ installed and have created an account at VideoSDK.

Step 1: Create a Virtual Environment

Create a virtual environment to manage dependencies: bash python -m venv venv source venv/bin/activate # On Windows use `venv\\Scripts\\activate`

Step 2: Install Required Packages

Install the necessary packages using pip: bash pip install videosdk pip install python-dotenv

Step 3: Configure API Keys in a .env file

Create a .env file in your project directory and add your VideoSDK API keys: VIDEOSDK_API_KEY=your_api_key_here

Building the AI Voice Agent: A Step-by-Step Guide

To build the AI Voice Agent, we'll use the complete code block provided below. This code sets up the agent, defines its behavior, and manages the session lifecycle.
1import asyncio, os
2from videosdk.agents import Agent, AgentSession, CascadingPipeline, JobContext, RoomOptions, WorkerJob, ConversationFlow
3from videosdk.plugins.silero import SileroVAD
4from videosdk.plugins.turn_detector import TurnDetector, pre_download_model
5from videosdk.plugins.deepgram import DeepgramSTT
6from videosdk.plugins.openai import OpenAILLM
7from videosdk.plugins.elevenlabs import ElevenLabsTTS
8from typing import AsyncIterator
9
10# Pre-downloading the Turn Detector model
11pre_download_model()
12
13agent_instructions = "You are a helpful and efficient AI Voice Agent specializing in lease renewal processes. Your primary role is to assist tenants and landlords with lease renewal inquiries and procedures. You can provide information on lease terms, guide users through the renewal process, and answer frequently asked questions about lease agreements. However, you are not a legal advisor and must include a disclaimer advising users to consult a legal professional for legal advice. Your capabilities include:
14
151. Explaining lease renewal terms and conditions.
162. Guiding users through the steps of renewing a lease.
173. Answering common questions about lease agreements and renewals.
184. Providing reminders for lease renewal deadlines.
195. Offering tips for negotiating lease terms.
20
21Constraints:
22- You cannot provide legal advice or interpret legal documents.
23- You must always include a disclaimer that users should consult a legal professional for legal matters.
24- You are limited to providing information based on the data available to you and cannot access external databases or personal user data."
25
26class MyVoiceAgent(Agent):
27    def __init__(self):
28        super().__init__(instructions=agent_instructions)
29    async def on_enter(self): await self.session.say("Hello! How can I help?")
30    async def on_exit(self): await self.session.say("Goodbye!")
31
32async def start_session(context: JobContext):
33    # Create agent and conversation flow
34    agent = MyVoiceAgent()
35    conversation_flow = ConversationFlow(agent)
36
37    # Create pipeline
38    pipeline = CascadingPipeline(
39        stt=DeepgramSTT(model="nova-2", language="en"),
40        llm=OpenAILLM(model="gpt-4o"),
41        tts=ElevenLabsTTS(model="eleven_flash_v2_5"),
42        vad=SileroVAD(threshold=0.35),
43        turn_detector=TurnDetector(threshold=0.8)
44    )
45
46    session = AgentSession(
47        agent=agent,
48        pipeline=pipeline,
49        conversation_flow=conversation_flow
50    )
51
52    try:
53        await context.connect()
54        await session.start()
55        # Keep the session running until manually terminated
56        await asyncio.Event().wait()
57    finally:
58        # Clean up resources when done
59        await session.close()
60        await context.shutdown()
61
62def make_context() -> JobContext:
63    room_options = RoomOptions(
64    #  room_id="YOUR_MEETING_ID",  # Set to join a pre-created room; omit to auto-create
65        name="VideoSDK Cascaded Agent",
66        playground=True
67    )
68
69    return JobContext(room_options=room_options)
70
71if __name__ == "__main__":
72    job = WorkerJob(entrypoint=start_session, jobctx=make_context)
73    job.start()
74

Step 4.1: Generating a VideoSDK Meeting ID

To interact with the agent, you need a meeting ID. Use the following curl command to generate one: bash curl -X POST \ https://api.videosdk.live/v1/rooms \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"name": "Lease Renewal Session"}'

Step 4.2: Creating the Custom Agent Class

The MyVoiceAgent class is where you define the agent's behavior. It inherits from the Agent class and uses the agent_instructions to guide interactions.

Step 4.3: Defining the Core Pipeline

The CascadingPipeline integrates various plugins to process audio. It uses DeepgramSTT for speech-to-text, OpenAILLM for language processing, and ElevenLabsTTS for text-to-speech.

Step 4.4: Managing the Session and Startup Logic

The start_session function initializes the agent session and manages the lifecycle. The make_context function sets up the room options, and the if __name__ == "__main__": block starts the agent.

Running and Testing the Agent

Step 5.1: Running the Python Script

Run your script using: bash python main.py

Step 5.2: Interacting with the Agent in the Playground

Once the script is running, find the playground link in the console. Use it to join the session and interact with your AI Voice Agent.

Advanced Features and Customizations

Extending Functionality with Custom Tools

The VideoSDK framework allows you to extend functionality using custom tools, enabling more tailored interactions.

Exploring Other Plugins

Consider experimenting with different STT, LLM, and TTS plugins to enhance your agent's capabilities.

Troubleshooting Common Issues

API Key and Authentication Errors

Ensure your API keys are correctly configured in the .env file and that you're using valid credentials.

Audio Input/Output Problems

Check your microphone and speaker settings if you encounter audio issues.

Dependency and Version Conflicts

Ensure all dependencies are up to date and compatible with your Python version.

Conclusion

Summary of What You've Built

You've successfully built an AI Voice Agent for lease renewal processes using the VideoSDK framework. This agent can handle inquiries, guide users, and provide essential lease information.

Next Steps and Further Learning

Explore additional features and customizations to enhance your agent's functionality, and consider integrating it with other services for a more comprehensive solution.

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