Deposition & Hearing Scheduling
Coordinate deposition and hearing scheduling across multiple parties and counsel by phone, eliminating email chains and calendar confusion.
Why this matters
Streamline client intake, scheduling, document collection, and billing follow-up for law firms and professional services organizations. This example shows you how to automate deposition & hearing scheduling 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 DepositionSchedulerBot(guava.CallController):
def __init__(self, witness_name: str, case_name: str, case_number: str,
requesting_firm: str, available_slots: list[str]):
super().__init__()
self.set_persona(
organization_name=f"{requesting_firm} Legal Calendar",
agent_name="Avery",
)
self.set_task(
objective=f"Schedule deposition of {witness_name} in case {case_name} ({case_number})",
checklist=[
f"Identify yourself to {witness_name} or their counsel regarding deposition scheduling for {case_name}.",
guava.Field(
key="speaking_with",
field_type="choice",
description="Speaking with witness directly or their counsel?",
choices=["witness directly", "witness's attorney", "paralegal"],
),
guava.Field(
key="preferred_slot",
field_type="calendar_slot",
description="Preferred deposition date and time",
choice_generator=lambda: available_slots,
),
guava.Field(
key="location_preference",
field_type="choice",
description="Preferred deposition format",
choices=["in-person at our office", "in-person at your office",
"remote via Zoom", "court reporter's office"],
),
guava.Field(
key="interpreter_needed",
field_type="bool",
description="Will an interpreter be required?",
),
guava.Field(
key="counsel_contact",
field_type="text",
description="Counsel's name and email for notice of deposition",
required=False,
),
"Confirm scheduled time and advise that formal notice will follow.",
],
on_complete=lambda fields: print(f"Deposition scheduled for {witness_name}: {fields.get('preferred_slot')}"),
)
guava.dial(
controller=DepositionSchedulerBot,
controller_args={"witness_name": "Dr. Patricia Simmons",
"case_name": "Martinez v. Westfield Medical Group",
"case_number": "CV-2024-10847",
"requesting_firm": "Morrison & Hayes LLP",
"available_slots": ["Dec 3 at 9am", "Dec 5 at 1pm", "Dec 10 at 10am", "Dec 12 at 2pm"]},
to=os.environ["WITNESS_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 DepositionSchedulerBot(guava.CallController):
def __init__(self, witness_name: str, case_name: str, case_number: str,
requesting_firm: str, available_slots: list[str]):
super().__init__()
self.set_persona(
organization_name=f"{requesting_firm} Legal Calendar",
agent_name="Avery",
)
self.set_task(
objective=f"Schedule deposition of {witness_name} in case {case_name} ({case_number})",
checklist=[
f"Identify yourself to {witness_name} or their counsel regarding deposition scheduling for {case_name}.",
guava.Field(
key="speaking_with",
field_type="choice",
description="Speaking with witness directly or their counsel?",
choices=["witness directly", "witness's attorney", "paralegal"],
),
guava.Field(
key="preferred_slot",
field_type="calendar_slot",
description="Preferred deposition date and time",
choice_generator=lambda: available_slots,
),
guava.Field(
key="location_preference",
field_type="choice",
description="Preferred deposition format",
choices=["in-person at our office", "in-person at your office",
"remote via Zoom", "court reporter's office"],
),
guava.Field(
key="interpreter_needed",
field_type="bool",
description="Will an interpreter be required?",
),
guava.Field(
key="counsel_contact",
field_type="text",
description="Counsel's name and email for notice of deposition",
required=False,
),
"Confirm scheduled time and advise that formal notice will follow.",
],
on_complete=lambda fields: print(f"Deposition scheduled for {witness_name}: {fields.get('preferred_slot')}"),
)
guava.dial(
controller=DepositionSchedulerBot,
controller_args={"witness_name": "Dr. Patricia Simmons",
"case_name": "Martinez v. Westfield Medical Group",
"case_number": "CV-2024-10847",
"requesting_firm": "Morrison & Hayes LLP",
"available_slots": ["Dec 3 at 9am", "Dec 5 at 1pm", "Dec 10 at 10am", "Dec 12 at 2pm"]},
to=os.environ["WITNESS_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