AI platforms

Custom Voice Persona for AI Agents

Give your AI product a distinctive voice. Pick a TTS voice, set persona traits (tone, pace, formality), and tune turn-taking — your brand, audible.

Why this matters

Embed Guava in your AI stack. Your prompts, your data, our voice infrastructure. Sub-1s latency. WebRTC + SIP. Compliance you can hand to your enterprise buyer. This example shows you how to automate custom voice persona for ai agents calls end-to-end with Guava's SDK — no telephony plumbing, no prompt engineering, just Python.

How to set persona & task

Working with Fields and Say items

Handling callbacks

Running the agent

Step 01

Installation

Install from Guava's private PyPI index. A public package is coming soon — the install command will simplify to pip install guava.

terminal

# Step 1: Install Guava
pip install gridspace-guava --extra-index-url https://guava-pypi.gridspace.com

# Public PyPI package coming soon — the install command will simplify to:
# pip install guava

# Step 2: Set your credentials
export GUAVA_API_KEY="..."
export GUAVA_AGENT_NUMBER="..."

Step 02

How it's built

Every Guava agent is a Python class. Walk through the key sections below, then grab the complete file at the end.

Imports

Import the Guava SDK and any helpers you need. guava.CallController is the base class for every voice agent.

example.py

# Install: pip install gridspace-guava --extra-index-url https://guava-pypi.gridspace.com
import guava
import os

Agent setup

set_persona() defines how the agent presents itself. set_task() gives it its mission in plain English. The checklist drives the conversation — Guava works through it top-to-bottom, collecting Field values and speaking Say items as it goes.

example.py

class BrandedPersonaBot(guava.CallController):
    def __init__(self):
        super().__init__()
        self.set_persona(
            organization_name="Halcyon AI",
            agent_name="Nova",
            voice="halcyon-signature-en-us",   # custom voice cloned for the brand
            traits={
                "tone": "calm, confident",
                "pace": "measured",
                "formality": "professional but warm",
                "humor": "dry, minimal",
            },
            turn_taking={
                "interruption_sensitivity": "high",
                "pause_threshold_ms": 480,
            },
        )
        self.set_task(
            objective="Have a natural, brand-consistent conversation with the caller.",
            checklist=[
                "Greet the caller as Nova from Halcyon AI.",
                guava.OpenEnded(
                    description="Open conversation, defer to the Halcyon backend for any factual or product-specific replies.",
                    handler=lambda utterance: guava.echo(utterance),
                ),
                "Close the call by inviting the caller to continue in the Halcyon app.",
            ],
        )

guava.listen(
    controller=BrandedPersonaBot,
    agent_number=os.environ["GUAVA_AGENT_NUMBER"],
    api_key=os.environ["GUAVA_API_KEY"],
)

Platform performance

<1s

Response time

99.99%

Uptime SLA

13+

Industries served

Step 03

Full example

The complete file — copy it, save it as example.py, and run it.

example.py

# Install: pip install gridspace-guava --extra-index-url https://guava-pypi.gridspace.com
import guava
import os

class BrandedPersonaBot(guava.CallController):
    def __init__(self):
        super().__init__()
        self.set_persona(
            organization_name="Halcyon AI",
            agent_name="Nova",
            voice="halcyon-signature-en-us",   # custom voice cloned for the brand
            traits={
                "tone": "calm, confident",
                "pace": "measured",
                "formality": "professional but warm",
                "humor": "dry, minimal",
            },
            turn_taking={
                "interruption_sensitivity": "high",
                "pause_threshold_ms": 480,
            },
        )
        self.set_task(
            objective="Have a natural, brand-consistent conversation with the caller.",
            checklist=[
                "Greet the caller as Nova from Halcyon AI.",
                guava.OpenEnded(
                    description="Open conversation, defer to the Halcyon backend for any factual or product-specific replies.",
                    handler=lambda utterance: guava.echo(utterance),
                ),
                "Close the call by inviting the caller to continue in the Halcyon app.",
            ],
        )

guava.listen(
    controller=BrandedPersonaBot,
    agent_number=os.environ["GUAVA_AGENT_NUMBER"],
    api_key=os.environ["GUAVA_API_KEY"],
)

Step 04

Run it

Start the agent. It will connect to Guava's infrastructure and begin accepting calls on your assigned number.

terminal

python example.py

Get Started