agentlang/out/runtime/docs.js

The easiest way to build the most reliable AI agents - enterprise-grade teams of AI agents that collaborate with each other and humans

import { getFileSystem } from '../utils/fs-utils.js';
import { logger } from './logger.js';
const DocFetchers = new Map();
export function registerDocFetcher(scheme, fetcher) {
    DocFetchers.set(scheme, fetcher);
    return scheme;
}
function getDocFetcher(scheme) {
    const f = DocFetchers.get(scheme);
    if (f) {
        return f;
    }
    logger.warn(`No fetcher for ${scheme}`);
    return undefined;
}
export async function fetchDoc(url) {
    const idx = url.indexOf(':/');
    const scheme = idx <= 0 ? 'file' : url.substring(0, idx);
    const f = getDocFetcher(scheme);
    if (f)
        return await f(url);
    else
        return undefined;
}
async function httpFetcher(url) {
    try {
        const response = await fetch(url, {
            method: 'GET',
        });
        if (!response.ok) {
            logger.error(`Failed to fetch document ${url}, HTTP error! status: ${response.status} ${response.text} ${response.statusText}`);
            return undefined;
        }
        return await response.text();
    }
    catch (reason) {
        logger.error(`Failed to fetch document ${url}: ${reason}`);
    }
    return undefined;
}
async function fetchFile(path) {
    const fs = await getFileSystem();
    if (path.startsWith('.')) {
        path = `${process.cwd()}${path.substring(1)}`;
    }
    return fs.readFile(path);
}
registerDocFetcher('http', httpFetcher);
registerDocFetcher('https', httpFetcher);
registerDocFetcher('file', fetchFile);
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