reorganize openai clients: rename python/openai-client to python/openai, add javascript/openai/nodejs and elixir/openai

This commit is contained in:
Russell Ballestrini 2025-10-15 15:47:23 -04:00
parent 0cf61ea676
commit bdf7875f31
9 changed files with 552 additions and 0 deletions

View file

@ -0,0 +1,13 @@
# Use official Node.js image (checked 2025-10-15: node:23-alpine is latest stable)
FROM node:23-alpine
WORKDIR /app
# Copy package files and install dependencies
COPY package.json ./
RUN npm install
# Copy application code
COPY uncloseai.js ./
CMD ["node", "uncloseai.js"]

View file

@ -0,0 +1,27 @@
{
"name": "uncloseai-nodejs-openai",
"version": "1.0.0",
"description": "Node.js client using official OpenAI SDK for uncloseai endpoints",
"type": "module",
"main": "uncloseai.js",
"scripts": {
"start": "node uncloseai.js"
},
"keywords": [
"ai",
"openai",
"uncloseai",
"llm",
"chat",
"tts",
"streaming"
],
"author": "UncloseAI",
"license": "MIT",
"engines": {
"node": ">=18.0.0"
},
"dependencies": {
"openai": "^4.77.0"
}
}

View file

@ -0,0 +1,65 @@
import OpenAI from 'openai';
import fs from 'fs';
console.log('=== UncloseAI Node.js Client (Official OpenAI SDK) ===\n');
// Non-streaming chat with Hermes
console.log('=== Non-Streaming Chat (Hermes) ===');
const hermesClient = new OpenAI({
apiKey: 'dummy-key',
baseURL: 'https://hermes.ai.unturf.com/v1'
});
const hermesResponse = await hermesClient.chat.completions.create({
model: 'adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic',
messages: [
{ role: 'user', content: 'Give a Python Fizzbuzz solution in one line of code?' }
],
temperature: 0.5,
max_tokens: 150
});
console.log(`Response: ${hermesResponse.choices[0].message.content}\n`);
// Streaming chat with Qwen
console.log('=== Streaming Chat (Qwen) ===');
const qwenClient = new OpenAI({
apiKey: 'dummy-key',
baseURL: 'https://qwen.ai.unturf.com/v1'
});
const qwenStream = await qwenClient.chat.completions.create({
model: 'hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M',
messages: [
{ role: 'user', content: 'Give a Python Fizzbuzz solution in one line of code?' }
],
temperature: 0.5,
max_tokens: 150,
stream: true
});
process.stdout.write('Response: ');
for await (const chunk of qwenStream) {
process.stdout.write(chunk.choices[0]?.delta?.content || '');
}
console.log('\n');
// TTS example
console.log('=== TTS Speech Generation ===');
const ttsClient = new OpenAI({
apiKey: 'YOLO',
baseURL: 'https://speech.ai.unturf.com/v1'
});
const mp3 = await ttsClient.audio.speech.create({
model: 'tts-1',
voice: 'alloy',
input: 'I think so therefore, Today is a wonderful day to grow something people love!',
speed: 0.9
});
const buffer = Buffer.from(await mp3.arrayBuffer());
fs.writeFileSync('speech.mp3', buffer);
console.log(`[OK] Speech file created: speech.mp3 (${buffer.length} bytes)\n`);
console.log('=== Examples Complete ===');