from agno.agent import Agent
from agno.tools.google_maps import GoogleMapTools
from agno.tools.crawl4ai import Crawl4aiTools # Optional: for enriching place data
agent = Agent(
name="Maps API Demo Agent",
tools=[
GoogleMapTools(),
Crawl4aiTools(max_length=5000), # Optional: for scraping business websites
],
description="Location and business information specialist for mapping and location-based queries.",
markdown=True,
show_tool_calls=True,
)
# Example 1: Business Search
print("\n=== Business Search Example ===")
agent.print_response(
"Find me highly rated Indian restaurants in Phoenix, AZ with their contact details",
markdown=True,
stream=True,
)
# Example 2: Directions
print("\n=== Directions Example ===")
agent.print_response(
"""Get driving directions from 'Phoenix Sky Harbor Airport' to 'Desert Botanical Garden',
avoiding highways if possible""",
markdown=True,
stream=True,
)
# Example 3: Address Validation and Geocoding
print("\n=== Address Validation and Geocoding Example ===")
agent.print_response(
"""Please validate and geocode this address:
'1600 Amphitheatre Parkway, Mountain View, CA'""",
markdown=True,
stream=True,
)
# Example 4: Distance Matrix
print("\n=== Distance Matrix Example ===")
agent.print_response(
"""Calculate the travel time and distance between these locations in Phoenix:
Origins: ['Phoenix Sky Harbor Airport', 'Downtown Phoenix']
Destinations: ['Desert Botanical Garden', 'Phoenix Zoo']""",
markdown=True,
stream=True,
)
# Example 5: Location Analysis
print("\n=== Location Analysis Example ===")
agent.print_response(
"""Analyze this location in Phoenix:
Address: '2301 N Central Ave, Phoenix, AZ 85004'
Please provide:
1. Exact coordinates
2. Nearby landmarks
3. Elevation data
4. Local timezone""",
markdown=True,
stream=True,
)
# Example 6: Multi-mode Transit Comparison
print("\n=== Transit Options Example ===")
agent.print_response(
"""Compare different travel modes from 'Phoenix Convention Center' to 'Phoenix Art Museum':
1. Driving
2. Walking
3. Transit (if available)
Include estimated time and distance for each option.""",
markdown=True,
stream=True,
)
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Set your API keys
export GOOGLE_MAPS_API_KEY=xxx
export OPENAI_API_KEY=xxx
Install libraries
pip install -U openai googlemaps agno
Run Agent
python cookbook/tools/google_maps_tools.py
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