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<li><a href="/python-examples.html">Python Examples</a></li>
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<li><a href="/nodejs-examples.html">Node.js Examples</a></li>
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<li><a href="/go-examples.html">Go Examples</a></li>
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<li><a href="/ruby-examples.html" class="active">Ruby Examples</a></li>
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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
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<p>Ruby Examples - Free LLM & TTS AI Service</p>
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<h2 id="ruby-intro">Ruby Examples</h2>
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<p>This page demonstrates how to use the <strong>uncloseai.</strong> API endpoints with Ruby using the official OpenAI Ruby gem. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.</p>
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<p><strong>Available Endpoints:</strong></p>
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<ul>
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<li><strong>Hermes:</strong> <code>https://hermes.ai.unturf.com/v1</code> - General purpose conversational AI</li>
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<li><strong>Qwen 3 Coder:</strong> <code>https://qwen.ai.unturf.com/v1</code> - Specialized coding model</li>
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<li><strong>TTS:</strong> <code>https://speech.ai.unturf.com/v1</code> - Text-to-speech generation</li>
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</ul>
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<h3 id="ruby-client">Ruby Client Installation</h3>
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<p>To install the official OpenAI gem for Ruby, add to your Gemfile or use <code>gem install</code>:</p>
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<pre><code class="bash">gem install openai</code></pre>
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<h2 id="ruby-non-streaming">Non-Streaming Examples</h2>
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<p>Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.</p>
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<h3 id="ruby-hermes-non-stream">Using Hermes (General Purpose)</h3>
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<pre><code class="ruby">require "openai"
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client = OpenAI::Client.new(
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access_token: "choose-any-value",
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uri_base: "https://hermes.ai.unturf.com/v1"
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)
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response = client.chat(
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parameters: {
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model: "adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic",
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messages: [
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{ role: "user", content: "Give a Python Fizzbuzz solution in one line of code?" }
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],
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temperature: 0.5,
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max_tokens: 150
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}
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)
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puts response.dig("choices", 0, "message", "content")
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</code></pre>
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<h3 id="ruby-qwen-non-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
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<pre><code class="ruby">require "openai"
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client = OpenAI::Client.new(
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access_token: "choose-any-value",
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uri_base: "https://qwen.ai.unturf.com/v1"
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)
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response = client.chat(
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parameters: {
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model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
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messages: [
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{ role: "user", content: "Give a Python Fizzbuzz solution in one line of code?" }
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],
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temperature: 0.5,
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max_tokens: 150
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}
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)
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puts response.dig("choices", 0, "message", "content")
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</code></pre>
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<h2 id="ruby-streaming">Streaming Examples</h2>
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<p>Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.</p>
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<h3 id="ruby-hermes-stream">Using Hermes (General Purpose)</h3>
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<pre><code class="ruby">require "openai"
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client = OpenAI::Client.new(
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access_token: "choose-any-value",
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uri_base: "https://hermes.ai.unturf.com/v1"
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)
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client.chat(
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parameters: {
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model: "adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic",
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messages: [
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{ role: "user", content: "Give a Python Fizzbuzz solution in one line of code?" }
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],
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temperature: 0.5,
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max_tokens: 150,
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stream: proc do |chunk, _bytesize|
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content = chunk.dig("choices", 0, "delta", "content")
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print content if content
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end
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}
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)
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</code></pre>
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<h3 id="ruby-qwen-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
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<pre><code class="ruby">require "openai"
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client = OpenAI::Client.new(
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access_token: "choose-any-value",
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uri_base: "https://qwen.ai.unturf.com/v1"
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)
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client.chat(
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parameters: {
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model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
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messages: [
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{ role: "user", content: "Give a Python Fizzbuzz solution in one line of code?" }
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],
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temperature: 0.5,
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max_tokens: 150,
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stream: proc do |chunk, _bytesize|
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content = chunk.dig("choices", 0, "delta", "content")
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print content if content
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end
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}
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)
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</code></pre>
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<h2 id="ruby-tts">Text-to-Speech Example</h2>
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<p>Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.</p>
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<pre><code class="ruby">require "openai"
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client = OpenAI::Client.new(
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access_token: "YOLO",
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uri_base: "https://speech.ai.unturf.com/v1"
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)
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response = client.audio.speech(
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parameters: {
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model: "tts-1",
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voice: "alloy",
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input: "I think so therefore, Today is a wonderful day to build something people love!",
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speed: 0.9
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}
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)
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File.binwrite("speech.mp3", response)
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</code></pre>
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<li><a href="#ruby-intro" class="active">Overview</a></li>
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<li><a href="#ruby-non-streaming">Non-Streaming</a>
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