Added MCP, Hybrid Memories and Skill support

src/audio.ts

@@ -2,7 +2,6 @@ import {execSync, spawn} from 'node:child_process';
 import {mkdtempSync} from 'node:fs';
 import fs from 'node:fs/promises';
 import {tmpdir} from 'node:os';
-import * as path from 'node:path';
 import Path, {join} from 'node:path';
 import {AbortablePromise, Ai} from './ai.ts';
 
@@ -155,7 +154,7 @@ print(json.dumps(segments))
 		const p = new Promise<any>((resolve, reject) => {
 			this.downloadAsrModel(opts.model).then(m => {
 				if(opts.diarization) {
-					let output = path.join(path.dirname(file), 'transcript');
+					let output = join(Path.dirname(file), 'transcript');
 					proc = spawn(<string>this.ai.options.whisper,
 						['-m', m, '-f', file, '-np', '-ml', '1', '-oj', '-of', output],
 						{stdio: ['ignore', 'ignore', 'pipe']}
@@ -226,11 +225,11 @@ print(json.dumps(segments))
 		return <any>Object.assign(p, {abort});
 	}
 
-	asr(file: string, options: { model?: string; diarization?: boolean | 'llm' } = {}): AbortablePromise<string | null> {
+	asr(path: string, options: { model?: string; diarization?: boolean | 'llm' } = {}): AbortablePromise<string | null> {
 		if(!this.ai.options.whisper) throw new Error('Whisper not configured');
 
 		const tmp = join(mkdtempSync(join(tmpdir(), 'audio-')), 'converted.wav');
-		execSync(`ffmpeg -i "${file}" -ar 16000 -ac 1 -f wav "${tmp}"`, { stdio: 'ignore' });
+		execSync(`ffmpeg -i "${path}" -ar 16000 -ac 1 -f wav "${tmp}"`, { stdio: 'ignore' });
 		const clean = () => fs.rm(Path.dirname(tmp), {recursive: true, force: true}).catch(() => {});
 
 		if(!options.diarization) return this.runAsr(tmp, {model: options.model});