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Wolfram alpha

WolframAlphaToolSpec #

Bases: BaseToolSpec

Wolfram Alpha tool spec.

Source code in llama-index-integrations/tools/llama-index-tools-wolfram-alpha/llama_index/tools/wolfram_alpha/base.py 
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class WolframAlphaToolSpec(BaseToolSpec):
    """Wolfram Alpha tool spec."""

    spec_functions = ["wolfram_alpha_query"]

    def __init__(self, app_id: Optional[str] = None) -> None:
        """Initialize with parameters."""
        self.token = app_id

    def wolfram_alpha_query(self, query: str):
        """
        Make a query to wolfram alpha about a mathematical or scientific problem.

        Example inputs:
            "(7 * 12 ^ 10) / 321"
            "How many calories are there in a pound of strawberries"

        Args:
            query (str): The query to be passed to wolfram alpha.

        """
        response = requests.get(
            QUERY_URL_TMPL.format(
                app_id=self.token, query=urllib.parse.quote_plus(query)
            )
        )
        return response.text

wolfram_alpha_query #

wolfram_alpha_query(query: str)

Make a query to wolfram alpha about a mathematical or scientific problem.

Example inputs

"(7 * 12 ^ 10) / 321" "How many calories are there in a pound of strawberries"

Parameters:

Name Type Description Default
query str

The query to be passed to wolfram alpha.

 required
Source code in llama-index-integrations/tools/llama-index-tools-wolfram-alpha/llama_index/tools/wolfram_alpha/base.py 
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def wolfram_alpha_query(self, query: str):
    """
    Make a query to wolfram alpha about a mathematical or scientific problem.

    Example inputs:
        "(7 * 12 ^ 10) / 321"
        "How many calories are there in a pound of strawberries"

    Args:
        query (str): The query to be passed to wolfram alpha.

    """
    response = requests.get(
        QUERY_URL_TMPL.format(
            app_id=self.token, query=urllib.parse.quote_plus(query)
        )
    )
    return response.text