llama-index-integrations/tools/llama-index-tools-wolfram-alpha/README.md
This tool connects to Wolfram|Alpha's LLM API, which returns responses optimized for language model consumption.
You will need to provide an API key: https://products.wolframalpha.com/api
This tool has more extensive example usage documented in a Jupyter notebook here
Here's an example usage of the WolframAlphaToolSpec.
from llama_index.tools.wolfram_alpha import WolframAlphaToolSpec
from llama_index.agent.core.agent import FunctionAgent
from llama_index.llms.openai import OpenAI
wolfram_spec = WolframAlphaToolSpec(app_id="API-key")
agent = FunctionAgent(
tools=wolfram_spec.to_tool_list(),
llm=OpenAI(model="gpt-4.1"),
)
print(await agent.run("how many calories are in 100g of milk chocolate"))
print(await agent.run("what is the mass of the helium in the sun"))
You can pass additional parameters to the Wolfram|Alpha LLM API:
wolfram_spec = WolframAlphaToolSpec(
app_id="API-key",
api_params={
"maxchars": 2048, # Maximum characters in response
"units": "metric", # Unit system preference
},
)
See the Wolfram|Alpha LLM API documentation for available parameters.
wolfram_alpha_query: Get the result of a query from Wolfram Alpha
This loader is designed to be used as a way to load data as a Tool in a Agent.