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const axios = require('axios'); |
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const { Tool } = require('langchain/tools'); |
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class WolframAlphaAPI extends Tool { |
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constructor(fields) { |
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super(); |
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this.name = 'wolfram'; |
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this.apiKey = fields.WOLFRAM_APP_ID || this.getAppId(); |
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this.description = `Access computation, math, curated knowledge & real-time data through wolframAlpha. |
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- Understands natural language queries about entities in chemistry, physics, geography, history, art, astronomy, and more. |
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- Performs mathematical calculations, date and unit conversions, formula solving, etc. |
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General guidelines: |
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- Make natural-language queries in English; translate non-English queries before sending, then respond in the original language. |
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- Inform users if information is not from wolfram. |
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- ALWAYS use this exponent notation: "6*10^14", NEVER "6e14". |
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- Your input must ONLY be a single-line string. |
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- ALWAYS use proper Markdown formatting for all math, scientific, and chemical formulas, symbols, etc.: '$$\n[expression]\n$$' for standalone cases and '\( [expression] \)' when inline. |
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- Format inline wolfram Language code with Markdown code formatting. |
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- Convert inputs to simplified keyword queries whenever possible (e.g. convert "how many people live in France" to "France population"). |
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- Use ONLY single-letter variable names, with or without integer subscript (e.g., n, n1, n_1). |
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- Use named physical constants (e.g., 'speed of light') without numerical substitution. |
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- Include a space between compound units (e.g., "Ω m" for "ohm*meter"). |
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- 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). |
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- If data for multiple properties is needed, make separate calls for each property. |
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- If a wolfram Alpha result is not relevant to the query: |
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-- 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. |
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- Performs complex calculations, data analysis, plotting, data import, and information retrieval.`; |
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} |
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async fetchRawText(url) { |
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try { |
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const response = await axios.get(url, { responseType: 'text' }); |
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return response.data; |
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} catch (error) { |
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console.error(`Error fetching raw text: ${error}`); |
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throw error; |
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} |
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} |
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getAppId() { |
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const appId = process.env.WOLFRAM_APP_ID || ''; |
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if (!appId) { |
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throw new Error('Missing WOLFRAM_APP_ID environment variable.'); |
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} |
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return appId; |
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} |
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createWolframAlphaURL(query) { |
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const formattedQuery = query.replaceAll(/`/g, '').replaceAll(/\n/g, ' '); |
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const baseURL = 'https://www.wolframalpha.com/api/v1/llm-api'; |
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const encodedQuery = encodeURIComponent(formattedQuery); |
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const appId = this.apiKey || this.getAppId(); |
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const url = `${baseURL}?input=${encodedQuery}&appid=${appId}`; |
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return url; |
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} |
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async _call(input) { |
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try { |
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const url = this.createWolframAlphaURL(input); |
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const response = await this.fetchRawText(url); |
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return response; |
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} catch (error) { |
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if (error.response && error.response.data) { |
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console.log('Error data:', error.response.data); |
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return error.response.data; |
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} else { |
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console.log('Error querying Wolfram Alpha', error.message); |
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return 'There was an error querying Wolfram Alpha.'; |
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} |
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} |
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} |
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} |
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module.exports = WolframAlphaAPI; |
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