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Marco Beretta
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/* eslint-disable no-useless-escape */
const axios = require('axios');
const { StructuredTool } = require('langchain/tools');
const { z } = require('zod');
class WolframAlphaAPI extends StructuredTool {
constructor(fields) {
super();
this.name = 'wolfram';
this.apiKey = fields.WOLFRAM_APP_ID || this.getAppId();
this.description = `WolframAlpha offers computation, math, curated knowledge, and real-time data. It handles natural language queries and performs complex calculations.
Guidelines include:
- Use English for queries and inform users if information isn't from Wolfram.
- Use "6*10^14" for exponent notation and single-line strings for input.
- Use Markdown for formulas and simplify queries to keywords.
- Use single-letter variable names and named physical constants.
- Include a space between compound units and consider equations without units when solving.
- Make separate calls for each property and choose relevant 'Assumptions' if results aren't relevant.
- The tool also performs data analysis, plotting, and information retrieval.`;
this.schema = z.object({
nl_query: z
.string()
.describe('Natural language query to WolframAlpha following the guidelines'),
});
}
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(data) {
try {
const { nl_query } = data;
const url = this.createWolframAlphaURL(nl_query);
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;