High-Usage Alerts & Conservation
Alert customers when usage is tracking significantly above their typical pattern, provide conservation tips, and offer a free energy audit to prevent bill shock.
Why this matters
Keep customers informed and engaged with automated outage updates, smart meter enrollment, conservation alerts, and satisfaction surveys. This example shows you how to automate high-usage alerts & conservation calls end-to-end with Guava's SDK — no telephony plumbing, no prompt engineering, just Python.
Installation
Install from Guava's private PyPI index. A public package is coming soon — the install command will simplify to pip install guava.
# 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="..."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.
# Install: pip install gridspace-guava --extra-index-url https://guava-pypi.gridspace.com
import guava
import osAgent 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.
class HighUsageAlertBot(guava.CallController):
def __init__(self, account_name: str, current_usage_kwh: float, typical_usage_kwh: float,
projected_bill: float, billing_period_end: str):
super().__init__()
pct_over = int((current_usage_kwh / typical_usage_kwh - 1) * 100)
self.set_persona(
organization_name="Metro Power & Light",
agent_name="Jordan",
)
self.set_task(
objective=f"Alert {account_name} of {pct_over}% above-average usage and offer conservation help",
checklist=[
f"Greet {account_name} with a friendly heads-up about their energy usage this month.",
guava.Say(f"Current usage: {current_usage_kwh:.0f} kWh — {pct_over}% above typical. Projected bill: ${projected_bill:.2f} by {billing_period_end}."),
guava.Field(
key="aware_of_increased_usage",
field_type="bool",
description="Is the customer aware of what might be causing increased usage?",
),
guava.Field(
key="usage_reason",
field_type="choice",
description="Known reason for increased usage",
choices=["guests visiting", "new appliance", "HVAC issue suspected",
"pool/spa heating", "no idea"],
required=False,
),
guava.Field(
key="wants_free_audit",
field_type="bool",
description="Interested in a free energy efficiency audit?",
),
guava.Field(
key="wants_usage_alerts",
field_type="bool",
description="Want to enroll in daily usage text alerts?",
),
"Provide tips for the top energy users (HVAC, water heater, EV charging) and audit scheduling link.",
],
on_complete=lambda fields: print(f"High usage alert delivered: {account_name}"),
)
guava.dial(
controller=HighUsageAlertBot,
controller_args={"account_name": "The Hartwell Family", "current_usage_kwh": 1847,
"typical_usage_kwh": 1100, "projected_bill": 312.00,
"billing_period_end": "the 28th"},
to=os.environ["ACCOUNT_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
Full example
The complete file — copy it, save it as example.py, and run it.
# Install: pip install gridspace-guava --extra-index-url https://guava-pypi.gridspace.com
import guava
import os
class HighUsageAlertBot(guava.CallController):
def __init__(self, account_name: str, current_usage_kwh: float, typical_usage_kwh: float,
projected_bill: float, billing_period_end: str):
super().__init__()
pct_over = int((current_usage_kwh / typical_usage_kwh - 1) * 100)
self.set_persona(
organization_name="Metro Power & Light",
agent_name="Jordan",
)
self.set_task(
objective=f"Alert {account_name} of {pct_over}% above-average usage and offer conservation help",
checklist=[
f"Greet {account_name} with a friendly heads-up about their energy usage this month.",
guava.Say(f"Current usage: {current_usage_kwh:.0f} kWh — {pct_over}% above typical. Projected bill: ${projected_bill:.2f} by {billing_period_end}."),
guava.Field(
key="aware_of_increased_usage",
field_type="bool",
description="Is the customer aware of what might be causing increased usage?",
),
guava.Field(
key="usage_reason",
field_type="choice",
description="Known reason for increased usage",
choices=["guests visiting", "new appliance", "HVAC issue suspected",
"pool/spa heating", "no idea"],
required=False,
),
guava.Field(
key="wants_free_audit",
field_type="bool",
description="Interested in a free energy efficiency audit?",
),
guava.Field(
key="wants_usage_alerts",
field_type="bool",
description="Want to enroll in daily usage text alerts?",
),
"Provide tips for the top energy users (HVAC, water heater, EV charging) and audit scheduling link.",
],
on_complete=lambda fields: print(f"High usage alert delivered: {account_name}"),
)
guava.dial(
controller=HighUsageAlertBot,
controller_args={"account_name": "The Hartwell Family", "current_usage_kwh": 1847,
"typical_usage_kwh": 1100, "projected_bill": 312.00,
"billing_period_end": "the 28th"},
to=os.environ["ACCOUNT_PHONE"],
agent_number=os.environ["GUAVA_AGENT_NUMBER"],
api_key=os.environ["GUAVA_API_KEY"],
)Run it
Start the agent. It will connect to Guava's infrastructure and begin accepting calls on your assigned number.
python example.py