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e5336039fc
* ci(backend-review.yml): add linter step to the backend review workflow * chore(backend-review.yml): remove prettier from lint-action configuration * chore: apply new linting workflow * chore(lint-staged.config.js): reorder lint-staged tasks for JavaScript and TypeScript files * chore(eslint): update ignorePatterns in .eslintrc.js chore(lint-action): remove prettier option in backend-review.yml chore(package.json): add lint and lint:fix scripts * chore(lint-staged.config.js): remove prettier --write command for js, jsx, ts, tsx files * chore(titleConvo.js): remove unnecessary console.log statement chore(titleConvo.js): add missing comma in options object * chore: apply linting to all files * chore(lint-staged.config.js): update lint-staged configuration to include prettier formatting
74 lines
2.6 KiB
JavaScript
74 lines
2.6 KiB
JavaScript
/* eslint-disable no-useless-escape */
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const axios = require('axios');
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const { StructuredTool } = require('langchain/tools');
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const { z } = require('zod');
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class WolframAlphaAPI extends StructuredTool {
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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 = `WolframAlpha offers computation, math, curated knowledge, and real-time data. It handles natural language queries and performs complex calculations.
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Guidelines include:
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- Use English for queries and inform users if information isn't from Wolfram.
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- Use "6*10^14" for exponent notation and single-line strings for input.
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- Use Markdown for formulas and simplify queries to keywords.
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- Use single-letter variable names and named physical constants.
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- Include a space between compound units and consider equations without units when solving.
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- Make separate calls for each property and choose relevant 'Assumptions' if results aren't relevant.
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- The tool also performs data analysis, plotting, and information retrieval.`;
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this.schema = z.object({
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nl_query: z
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.string()
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.describe('Natural language query to WolframAlpha following the guidelines'),
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});
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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: ${error}`);
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throw error;
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}
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}
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getAppId() {
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const appId = process.env.WOLFRAM_APP_ID || '';
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if (!appId) {
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throw new Error('Missing WOLFRAM_APP_ID environment variable.');
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}
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return appId;
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}
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createWolframAlphaURL(query) {
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// Clean up query
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const formattedQuery = query.replaceAll(/`/g, '').replaceAll(/\n/g, ' ');
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const baseURL = 'https://www.wolframalpha.com/api/v1/llm-api';
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const encodedQuery = encodeURIComponent(formattedQuery);
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const appId = this.apiKey || this.getAppId();
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const url = `${baseURL}?input=${encodedQuery}&appid=${appId}`;
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return url;
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}
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async _call(data) {
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try {
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const { nl_query } = data;
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const url = this.createWolframAlphaURL(nl_query);
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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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// throw error;
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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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