Retail & E-Commerce

Product Recall Notification

Rapidly notify all affected customers about a product recall, confirm receipt, and guide them through the return or replacement process.

Why this matters

Drive revenue and retention with voice automation for order updates, cart recovery, loyalty enrollment, and post-purchase engagement. This example shows you how to automate product recall notification 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.

01

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
02

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 ProductRecallBot(guava.CallController):
    def __init__(self, customer_name: str, product_name: str, order_id: str, recall_reason: str):
        super().__init__()
        self.set_persona(
            organization_name="Pinnacle Commerce Safety Team",
            agent_name="Sam",
        )
        self.set_task(
            objective=f"Notify {customer_name} of urgent recall for {product_name} from order {order_id}",
            checklist=[
                f"Introduce yourself and stress this is an important safety notification for {customer_name}.",
                guava.Say(f"{product_name} from order {order_id} is subject to a voluntary recall due to: {recall_reason}."),
                guava.Say("Advise to stop using the product immediately and not return it to stores."),
                guava.Field(
                    key="has_product",
                    field_type="bool",
                    description="Does the customer still have the product?",
                ),
                guava.Field(
                    key="resolution_preference",
                    field_type="choice",
                    description="Preferred resolution",
                    choices=["full refund", "replacement product", "store credit"],
                ),
                guava.Field(
                    key="return_label_email",
                    field_type="email",
                    description="Email to send prepaid return label",
                ),
                "Confirm resolution, provide case number, and advise on safe disposal if applicable.",
            ],
            on_complete=lambda fields: print(f"Recall notification complete for {customer_name}: {fields}"),
        )

guava.dial(
    controller=ProductRecallBot,
    controller_args={"customer_name": "Paul Garrett", "product_name": "SmartBlend Pro Blender",
                     "order_id": "ORD-558102",
                     "recall_reason": "potential blade detachment risk"},
    to=os.environ["CUSTOMER_PHONE"],
    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 ProductRecallBot(guava.CallController):
    def __init__(self, customer_name: str, product_name: str, order_id: str, recall_reason: str):
        super().__init__()
        self.set_persona(
            organization_name="Pinnacle Commerce Safety Team",
            agent_name="Sam",
        )
        self.set_task(
            objective=f"Notify {customer_name} of urgent recall for {product_name} from order {order_id}",
            checklist=[
                f"Introduce yourself and stress this is an important safety notification for {customer_name}.",
                guava.Say(f"{product_name} from order {order_id} is subject to a voluntary recall due to: {recall_reason}."),
                guava.Say("Advise to stop using the product immediately and not return it to stores."),
                guava.Field(
                    key="has_product",
                    field_type="bool",
                    description="Does the customer still have the product?",
                ),
                guava.Field(
                    key="resolution_preference",
                    field_type="choice",
                    description="Preferred resolution",
                    choices=["full refund", "replacement product", "store credit"],
                ),
                guava.Field(
                    key="return_label_email",
                    field_type="email",
                    description="Email to send prepaid return label",
                ),
                "Confirm resolution, provide case number, and advise on safe disposal if applicable.",
            ],
            on_complete=lambda fields: print(f"Recall notification complete for {customer_name}: {fields}"),
        )

guava.dial(
    controller=ProductRecallBot,
    controller_args={"customer_name": "Paul Garrett", "product_name": "SmartBlend Pro Blender",
                     "order_id": "ORD-558102",
                     "recall_reason": "potential blade detachment risk"},
    to=os.environ["CUSTOMER_PHONE"],
    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