Lead Qualification
Instantly respond to new buyer or renter inquiries, qualify them on budget, timeline, and needs, and route hot leads directly to an agent.
Why this matters
Qualify leads, schedule showings, handle tenant requests, and manage the full lifecycle of residential and commercial real estate transactions. This example shows you how to automate lead qualification 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 LeadQualificationBot(guava.CallController):
def __init__(self, lead_name: str, property_address: str, source: str):
super().__init__()
self.set_persona(
organization_name="Summit Realty Group",
agent_name="Casey",
)
self.set_task(
objective=f"Qualify {lead_name} who inquired about {property_address} via {source}",
checklist=[
f"Thank {lead_name} for their interest in {property_address}.",
guava.Field(
key="buying_or_renting",
field_type="choice",
description="Are they looking to buy or rent?",
choices=["buy", "rent"],
),
guava.Field(
key="budget",
field_type="currency",
description="What is their budget or price range?",
),
guava.Field(
key="timeline",
field_type="choice",
description="What is their desired move-in timeline?",
choices=["ASAP", "1-3 months", "3-6 months", "6+ months", "just browsing"],
),
guava.Field(
key="pre_approved",
field_type="bool",
description="Are they pre-approved for financing?",
),
guava.Field(
key="working_with_agent",
field_type="bool",
description="Are they currently working with another agent?",
),
guava.Field(
key="wants_showing",
field_type="bool",
description="Would they like to schedule a showing?",
),
"Transfer hot leads to available agent or schedule callback.",
],
on_complete=self.route_lead,
)
def route_lead(self, fields):
score = sum([
fields.get("pre_approved", False),
fields.get("timeline") in ["ASAP", "1-3 months"],
fields.get("wants_showing", False),
])
print(f"Lead score: {score}/3 for {fields}")
guava.dial(
controller=LeadQualificationBot,
controller_args={"lead_name": "Nina Russo", "property_address": "14 Maple Lane, Austin TX",
"source": "Zillow"},
to=os.environ["LEAD_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 LeadQualificationBot(guava.CallController):
def __init__(self, lead_name: str, property_address: str, source: str):
super().__init__()
self.set_persona(
organization_name="Summit Realty Group",
agent_name="Casey",
)
self.set_task(
objective=f"Qualify {lead_name} who inquired about {property_address} via {source}",
checklist=[
f"Thank {lead_name} for their interest in {property_address}.",
guava.Field(
key="buying_or_renting",
field_type="choice",
description="Are they looking to buy or rent?",
choices=["buy", "rent"],
),
guava.Field(
key="budget",
field_type="currency",
description="What is their budget or price range?",
),
guava.Field(
key="timeline",
field_type="choice",
description="What is their desired move-in timeline?",
choices=["ASAP", "1-3 months", "3-6 months", "6+ months", "just browsing"],
),
guava.Field(
key="pre_approved",
field_type="bool",
description="Are they pre-approved for financing?",
),
guava.Field(
key="working_with_agent",
field_type="bool",
description="Are they currently working with another agent?",
),
guava.Field(
key="wants_showing",
field_type="bool",
description="Would they like to schedule a showing?",
),
"Transfer hot leads to available agent or schedule callback.",
],
on_complete=self.route_lead,
)
def route_lead(self, fields):
score = sum([
fields.get("pre_approved", False),
fields.get("timeline") in ["ASAP", "1-3 months"],
fields.get("wants_showing", False),
])
print(f"Lead score: {score}/3 for {fields}")
guava.dial(
controller=LeadQualificationBot,
controller_args={"lead_name": "Nina Russo", "property_address": "14 Maple Lane, Austin TX",
"source": "Zillow"},
to=os.environ["LEAD_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