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llm / api /app /clients /tools /Wolfram.js
Marco Beretta
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/* eslint-disable no-useless-escape */
const axios = require('axios');
const { Tool } = require('langchain/tools');
class WolframAlphaAPI extends Tool {
constructor(fields) {
super();
this.name = 'wolfram';
this.apiKey = fields.WOLFRAM_APP_ID || this.getAppId();
this.description = `Access computation, math, curated knowledge & real-time data through wolframAlpha.
- Understands natural language queries about entities in chemistry, physics, geography, history, art, astronomy, and more.
- Performs mathematical calculations, date and unit conversions, formula solving, etc.
General guidelines:
- Make natural-language queries in English; translate non-English queries before sending, then respond in the original language.
- Inform users if information is not from wolfram.
- ALWAYS use this exponent notation: "6*10^14", NEVER "6e14".
- Your input must ONLY be a single-line string.
- ALWAYS use proper Markdown formatting for all math, scientific, and chemical formulas, symbols, etc.: '$$\n[expression]\n$$' for standalone cases and '\( [expression] \)' when inline.
- Format inline wolfram Language code with Markdown code formatting.
- Convert inputs to simplified keyword queries whenever possible (e.g. convert "how many people live in France" to "France population").
- Use ONLY single-letter variable names, with or without integer subscript (e.g., n, n1, n_1).
- Use named physical constants (e.g., 'speed of light') without numerical substitution.
- Include a space between compound units (e.g., "Ω m" for "ohm*meter").
- To solve for a variable in an equation with units, consider solving a corresponding equation without units; exclude counting units (e.g., books), include genuine units (e.g., kg).
- If data for multiple properties is needed, make separate calls for each property.
- If a wolfram Alpha result is not relevant to the query:
-- If wolfram provides multiple 'Assumptions' for a query, choose the more relevant one(s) without explaining the initial result. If you are unsure, ask the user to choose.
- Performs complex calculations, data analysis, plotting, data import, and information retrieval.`;
// - Please ensure your input is properly formatted for wolfram Alpha.
// -- Re-send the exact same 'input' with NO modifications, and add the 'assumption' parameter, formatted as a list, with the relevant values.
// -- ONLY simplify or rephrase the initial query if a more relevant 'Assumption' or other input suggestions are not provided.
// -- Do not explain each step unless user input is needed. Proceed directly to making a better input based on the available assumptions.
// - wolfram Language code is accepted, but accepts only syntactically correct wolfram Language code.
}
async fetchRawText(url) {
try {
const response = await axios.get(url, { responseType: 'text' });
return response.data;
} catch (error) {
console.error(`Error fetching raw text: ${error}`);
throw error;
}
}
getAppId() {
const appId = process.env.WOLFRAM_APP_ID || '';
if (!appId) {
throw new Error('Missing WOLFRAM_APP_ID environment variable.');
}
return appId;
}
createWolframAlphaURL(query) {
// Clean up query
const formattedQuery = query.replaceAll(/`/g, '').replaceAll(/\n/g, ' ');
const baseURL = 'https://www.wolframalpha.com/api/v1/llm-api';
const encodedQuery = encodeURIComponent(formattedQuery);
const appId = this.apiKey || this.getAppId();
const url = `${baseURL}?input=${encodedQuery}&appid=${appId}`;
return url;
}
async _call(input) {
try {
const url = this.createWolframAlphaURL(input);
const response = await this.fetchRawText(url);
return response;
} catch (error) {
if (error.response && error.response.data) {
console.log('Error data:', error.response.data);
return error.response.data;
} else {
console.log('Error querying Wolfram Alpha', error.message);
// throw error;
return 'There was an error querying Wolfram Alpha.';
}
}
}
}
module.exports = WolframAlphaAPI;