Integrate terminal input handling into CLI tool using terminal-kit. Implement global key handler for CTRL-C and prompt user for input before initiating the LLM loop. Remove outdated test scripts for improved codebase clarity.
This commit is contained in:
sebseb7
196
cli.js
196
cli.js
@@ -1,6 +1,7 @@
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#!/usr/bin/env node
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import 'dotenv/config';
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import OpenAI from 'openai';
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import terminalKit from 'terminal-kit';
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//npm install tiktoken
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//csk-8jftdte6r6vf8fdvp9xkyek5t3jnc6jfhh93d3ewfcwxxvh9
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@@ -8,8 +9,6 @@ import OpenAI from 'openai';
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import { promises as fs } from "node:fs";
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import { fileURLToPath } from "node:url";
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import path from "node:path";
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import { resourceUsage } from 'node:process';
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function renderUsage(usage) {
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const inputTokens = usage.input_tokens - usage.input_tokens_details.cached_tokens;
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@@ -34,6 +33,24 @@ function printIndented(indentNum, ...args) {
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const __dirname = path.dirname(fileURLToPath(import.meta.url));
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const term = terminalKit.terminal;
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// Global key handler so CTRL-C works everywhere (input fields, loops, etc.).
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// Disable mouse tracking so terminal mouse wheel keeps controlling scrollback.
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term.grabInput({ mouse: false });
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term.on('key', (name) => {
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if (name === 'CTRL_C') {
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term.grabInput(false);
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term.processExit(0);
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}
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});
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async function askUserForInput() {
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term.cyan("Enter your request: ");
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const input = await term.inputField({ mouse: false }).promise;
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return input;
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}
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async function loadTools() {
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const toolsDir = path.join(__dirname, "tools");
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const dirents = await fs.readdir(toolsDir, { withFileTypes: true });
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@@ -49,100 +66,103 @@ async function loadTools() {
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return Object.fromEntries(toolEntries);
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}
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streamOnce(new OpenAI({ apiKey: process.env.OPENAI_API_KEY }), 'Erstelle eine React Project für eine Abovverwaltung. Mui, Sqllite, Express, Nodejs, KEIN Typescript, Aber ESM import. webpack, kein vite. HRM, nodemon');
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while(true){
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let counter = 0;
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// Block for user input before kicking off the LLM loop
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const userText = await askUserForInput();
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await streamOnce(new OpenAI({ apiKey: process.env.OPENAI_API_KEY }), userText || '');
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async function streamOnce(openai, userText) {
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const toolsByFile = await loadTools();
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let previousResponseId;
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let counter = 0;
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async function streamOnce(openai, userText) {
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const toolsByFile = await loadTools();
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let previousResponseId;
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let input = [
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{"role": "developer", "content": [ {"type": "input_text","text": `You are an interactive CLI AI assistant. Follow the user's instructions.` }] },
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{"role": "user", "content": [ {"type": "input_text","text": userText } ]},
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]
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let input = [
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{"role": "developer", "content": [ {"type": "input_text","text": `You are an interactive CLI AI assistant. Follow the user's instructions.` }] },
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{"role": "user", "content": [ {"type": "input_text","text": userText } ]},
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]
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while(input.length > 0){
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while(input.length > 0){
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const call = {
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model: 'gpt-5-mini',
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input: input,
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text: { format: { type: 'text' }, verbosity: 'high' },
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reasoning: { effort: 'medium', summary: 'detailed' },
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tools: Object.values(toolsByFile).map(t => t.def),
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store: true,
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}
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if(previousResponseId) call.previous_response_id = previousResponseId;
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console.log("\n\n\n\n\n------NEW OPENAI CALL-"+input.length+"-------------"
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,"\n",counter++,"\n",'----INPUT-----------------'
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,"\n",call.input.map(i => JSON.stringify(i)),"\n",
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'--------CALL-------------',"\n");
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const stream = await openai.responses.stream(call);
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stream.on('response.created', (event) => {
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previousResponseId = event.response.id;
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});
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stream.on('response.reasoning_summary_text.delta', (event) => {
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process.stdout.write('o')
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});
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stream.on('response.reasoning_summary_text.done', () => {
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process.stdout.write('\n');
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//clear on next delta
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});
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stream.on('response.output_text.delta', (event) => {
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process.stdout.write('.')
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});
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stream.on('response.output_item.added', (event) => {
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if(event.item && event.item.type === 'function_call'){
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//console.log('function call:', event.item);
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const call = {
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model: 'gpt-5-mini',
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input: input,
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text: { format: { type: 'text' }, verbosity: 'high' },
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reasoning: { effort: 'medium', summary: 'detailed' },
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tools: Object.values(toolsByFile).map(t => t.def),
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store: true,
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}
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});
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stream.on('response.function_call_arguments.delta', (event) => {
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process.stdout.write('x');
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});
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if(previousResponseId) call.previous_response_id = previousResponseId;
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const functionCalls = [];
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console.log("\n\n\n\n\n------NEW OPENAI CALL-"+input.length+"-------------"
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,"\n",counter++,"\n",'----INPUT-----------------'
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,"\n",call.input.map(i => JSON.stringify(i)),"\n",
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'--------CALL-------------',"\n");
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const stream = await openai.responses.stream(call);
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stream.on('response.created', (event) => {
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previousResponseId = event.response.id;
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});
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stream.on('response.reasoning_summary_text.delta', (event) => {
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process.stdout.write('o')
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});
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stream.on('response.reasoning_summary_text.done', () => {
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process.stdout.write('\n');
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//clear on next delta
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});
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stream.on('response.output_item.done', async (event) => {
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if(event.item && event.item.type === 'function_call'){
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const id = event.item.call_id;
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const name = event.item.name;
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let args = {};
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try {
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args = JSON.parse(event.item.arguments);
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} catch (e){
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console.error('Error parsing arguments:', e, event.item.arguments);
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stream.on('response.output_text.delta', (event) => {
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process.stdout.write('.')
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});
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stream.on('response.output_item.added', (event) => {
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if(event.item && event.item.type === 'function_call'){
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//console.log('function call:', event.item);
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}
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console.log(' function call:', id, name);
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functionCalls.push({ id, name, args, promise: toolsByFile[name].run(args) });
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});
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stream.on('response.function_call_arguments.delta', (event) => {
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process.stdout.write('x');
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});
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const functionCalls = [];
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stream.on('response.output_item.done', async (event) => {
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if(event.item && event.item.type === 'function_call'){
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const id = event.item.call_id;
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const name = event.item.name;
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let args = {};
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try {
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args = JSON.parse(event.item.arguments);
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} catch (e){
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console.error('Error parsing arguments:', e, event.item.arguments);
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}
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console.log(' function call:', id, name);
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functionCalls.push({ id, name, args, promise: toolsByFile[name].run(args) });
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}
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});
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stream.on('response.completed', async (event) => {
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printIndented(10,renderUsage(event.response.usage));
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if (event.response.output.filter(i => i.type === 'message').length > 0) printIndented(10, "Textresult:",event.response.output.filter(i => i.type === 'message').map(i => i.content[0].text));
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});
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await Array.fromAsync(stream);
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input=[];
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for (const call of functionCalls) {
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//try {
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const result = await call.promise;
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input.push({
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type: "function_call_output",
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call_id: call.id,
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output: JSON.stringify(result),
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})
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printIndented(10,'function call result:',result);
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//} catch (err) {
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// console.error('Error in function call:', call.name, err);
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//}
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}
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});
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stream.on('response.completed', async (event) => {
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printIndented(10,renderUsage(event.response.usage));
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if (event.response.output.filter(i => i.type === 'message').length > 0) printIndented(10, "Textresult:",event.response.output.filter(i => i.type === 'message').map(i => i.content[0].text));
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});
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await Array.fromAsync(stream);
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input=[];
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for (const call of functionCalls) {
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//try {
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const result = await call.promise;
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input.push({
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type: "function_call_output",
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call_id: call.id,
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output: JSON.stringify(result),
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})
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printIndented(10,'function call result:',result);
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//} catch (err) {
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// console.error('Error in function call:', call.name, err);
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//}
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}
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}
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//console.log('OPENAI STREAM FINISHED');
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}
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//console.log('OPENAI STREAM FINISHED');
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}
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}
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