Reorganize project structure: move public files to public/ directory

This commit is contained in:
Russell Ballestrini 2025-10-24 13:23:42 -04:00
parent 8de043bfef
commit 38545721a0
253 changed files with 0 additions and 0 deletions

View file

@ -0,0 +1,117 @@
import OpenAI from 'openai';
import fs from 'fs';
console.log('=== uncloseai. Node.js Client (Official OpenAI SDK) ===\n');
// Discover endpoints from environment variables
const modelEndpoint1 = process.env.MODEL_ENDPOINT_1;
const modelEndpoint2 = process.env.MODEL_ENDPOINT_2;
const ttsEndpoint1 = process.env.TTS_ENDPOINT_1;
if (!modelEndpoint1 || !modelEndpoint2 || !ttsEndpoint1) {
console.error('ERROR: No models discovered. Set environment variables:');
console.error(' MODEL_ENDPOINT_1, MODEL_ENDPOINT_2, TTS_ENDPOINT_1');
process.exit(1);
}
// Discover models from endpoint 1
console.log(`Discovering models from ${modelEndpoint1}...`);
const client1 = new OpenAI({
apiKey: 'dummy-key',
baseURL: modelEndpoint1
});
const models1 = await client1.models.list();
const model1Id = models1.data[0].id;
console.log(`Model 1: ${model1Id}\n`);
// Discover models from endpoint 2
console.log(`Discovering models from ${modelEndpoint2}...`);
const client2 = new OpenAI({
apiKey: 'dummy-key',
baseURL: modelEndpoint2
});
const models2 = await client2.models.list();
const model2Id = models2.data[0].id;
console.log(`Model 2: ${model2Id}\n`);
// Non-streaming chat with Model 1
console.log('=== Non-Streaming Chat (Model 1) ===');
const response1 = await client1.chat.completions.create({
model: model1Id,
messages: [
{ role: 'user', content: 'Give a Python Fizzbuzz solution in one line of code?' }
],
temperature: 0.5,
max_tokens: 150
});
console.log(`Response: ${response1.choices[0].message.content}\n`);
// Streaming chat with Model 1
console.log('=== Streaming Chat (Model 1) ===');
const stream1 = await client1.chat.completions.create({
model: model1Id,
messages: [
{ role: 'user', content: 'Explain quantum entanglement in one sentence.' }
],
temperature: 0.5,
max_tokens: 150,
stream: true
});
process.stdout.write('Response: ');
for await (const chunk of stream1) {
process.stdout.write(chunk.choices[0]?.delta?.content || '');
}
console.log('\n');
// Non-streaming chat with Model 2
console.log('=== Non-Streaming Chat (Model 2) ===');
const response2 = await client2.chat.completions.create({
model: model2Id,
messages: [
{ role: 'user', content: 'Write a JavaScript function to check if a number is prime' }
],
temperature: 0.5,
max_tokens: 150
});
console.log(`Response: ${response2.choices[0].message.content}\n`);
// Streaming chat with Model 2
console.log('=== Streaming Chat (Model 2) ===');
const stream2 = await client2.chat.completions.create({
model: model2Id,
messages: [
{ role: 'user', content: 'Give a Python Fizzbuzz solution in one line of code?' }
],
temperature: 0.5,
max_tokens: 150,
stream: true
});
process.stdout.write('Response: ');
for await (const chunk of stream2) {
process.stdout.write(chunk.choices[0]?.delta?.content || '');
}
console.log('\n');
// TTS example
console.log('=== TTS Speech Generation ===');
const ttsClient = new OpenAI({
apiKey: 'dummy-key',
baseURL: ttsEndpoint1
});
const mp3 = await ttsClient.audio.speech.create({
model: 'tts-1',
voice: 'alloy',
input: 'I think so therefore, Today is a wonderful day to grow something people love!',
speed: 0.9
});
const buffer = Buffer.from(await mp3.arrayBuffer());
fs.writeFileSync('speech.mp3', buffer);
console.log(`[OK] Speech file created: speech.mp3 (${buffer.length} bytes)\n`);
console.log('=== Examples Complete ===');