llama-index-integrations/tools/llama-index-tools-measurespace/README.md
pip install llama-index-tools-measurespace
This tool connects to the MeasureSpace's API, using the measure-space-api Python package. You must initialize the tool with corresponding API keys from MeasureSpace and OpenAI (if you use OpenAI).
The tool has access to the following functions:
Assume you have an .env file with the following content:
GEOCODING_API_KEY=<your-geocoding-api-key>
HOURLY_WEATHER_API_KEY=<your-hourly-weather-api-key>
DAILY_WEATHER_API_KEY=R<your-daily-weather-api-key>
DAILY_CLIMATE_API_KEY=<your-daily-climate-api-key>
AIR_QUALITY_API_KEY=<your-air-quality-api-key>
OPENAI_API_KEY=<your-openai-api-key>
Note that you only need the API keys if you need the services.
from llama_index.tools.measurespace import MeasureSpaceToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
from dotenv import load_dotenv
import os
load_dotenv()
api_keys = {
"hourly_weather": os.getenv("HOURLY_WEATHER_API_KEY"),
"daily_weather": os.getenv("DAILY_WEATHER_API_KEY"),
"daily_climate": os.getenv("DAILY_CLIMATE_API_KEY"),
"air_quality": os.getenv("AIR_QUALITY_API_KEY"),
"geocoding": os.getenv("GEOCODING_API_KEY"),
}
tool_spec = MeasureSpaceToolSpec(api_keys)
agent = FunctionAgent(
tools=tool_spec.to_tool_list(),
llm=OpenAI(model="gpt-4.1"),
)
print(await agent.run("How's the temperature for New York in next 3 days?"))
print(await agent.run("What's the latitude and longitude of New York?"))
# get a list of tools
for tool in tool_spec.to_tool_list():
print(tool.metadata.name)
# Use a specific tool
tool_spec.get_daily_weather_forecast("New York")
tool_spec.get_latitude_longitude_from_location("New York")