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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
<p>Go Examples - Free LLM & TTS AI Service</p>
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<h2 id="go-intro">Go Examples</h2>
<p>This page demonstrates how to use the <strong>uncloseai.</strong> API endpoints with Go using the official OpenAI Go client library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.</p>
<p><strong>Available Endpoints:</strong></p>
<ul>
<li><strong>Hermes:</strong> <code>https://hermes.ai.unturf.com/v1</code> - General purpose conversational AI</li>
<li><strong>Qwen 3 Coder:</strong> <code>https://qwen.ai.unturf.com/v1</code> - Specialized coding model</li>
<li><strong>TTS:</strong> <code>https://speech.ai.unturf.com/v1</code> - Text-to-speech generation</li>
</ul>
<h3 id="go-client">Go Client Installation</h3>
<p>To install the official OpenAI Go package, use <code>go get</code>:</p>
<pre><code class="bash">go get github.com/openai/openai-go/v3@v3.3.0</code></pre>
<h2 id="go-non-streaming">Non-Streaming Examples</h2>
<p>Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.</p>
<h3 id="go-hermes-non-stream">Using Hermes (General Purpose)</h3>
<pre><code class="go">package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://hermes.ai.unturf.com/v1"),
option.WithAPIKey("choose-any-value"),
)
response, err := client.Chat.Completions.New(context.Background(), openai.ChatCompletionNewParams{
Model: openai.F("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic"),
Messages: openai.F([]openai.ChatCompletionMessageParamUnion{
openai.UserMessage("Give a Python Fizzbuzz solution in one line of code?"),
}),
Temperature: openai.Float(0.5),
MaxTokens: openai.Int(150),
})
if err != nil {
panic(err)
}
fmt.Println(response.Choices[0].Message.Content)
}
</code></pre>
<h3 id="go-qwen-non-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
<pre><code class="go">package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://qwen.ai.unturf.com/v1"),
option.WithAPIKey("choose-any-value"),
)
response, err := client.Chat.Completions.New(context.Background(), openai.ChatCompletionNewParams{
Model: openai.F("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M"),
Messages: openai.F([]openai.ChatCompletionMessageParamUnion{
openai.UserMessage("Give a Python Fizzbuzz solution in one line of code?"),
}),
Temperature: openai.Float(0.5),
MaxTokens: openai.Int(150),
})
if err != nil {
panic(err)
}
fmt.Println(response.Choices[0].Message.Content)
}
</code></pre>
<h2 id="go-streaming">Streaming Examples</h2>
<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>
<h3 id="go-hermes-stream">Using Hermes (General Purpose)</h3>
<pre><code class="go">package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://hermes.ai.unturf.com/v1"),
option.WithAPIKey("choose-any-value"),
)
stream := client.Chat.Completions.NewStreaming(context.Background(), openai.ChatCompletionNewParams{
Model: openai.F("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic"),
Messages: openai.F([]openai.ChatCompletionMessageParamUnion{
openai.UserMessage("Give a Python Fizzbuzz solution in one line of code?"),
}),
Temperature: openai.Float(0.5),
MaxTokens: openai.Int(150),
})
for stream.Next() {
chunk := stream.Current()
if len(chunk.Choices) > 0 && chunk.Choices[0].Delta.Content != "" {
fmt.Print(chunk.Choices[0].Delta.Content)
}
}
if err := stream.Err(); err != nil {
panic(err)
}
}
</code></pre>
<h3 id="go-qwen-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
<pre><code class="go">package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://qwen.ai.unturf.com/v1"),
option.WithAPIKey("choose-any-value"),
)
stream := client.Chat.Completions.NewStreaming(context.Background(), openai.ChatCompletionNewParams{
Model: openai.F("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M"),
Messages: openai.F([]openai.ChatCompletionMessageParamUnion{
openai.UserMessage("Give a Python Fizzbuzz solution in one line of code?"),
}),
Temperature: openai.Float(0.5),
MaxTokens: openai.Int(150),
})
for stream.Next() {
chunk := stream.Current()
if len(chunk.Choices) > 0 && chunk.Choices[0].Delta.Content != "" {
fmt.Print(chunk.Choices[0].Delta.Content)
}
}
if err := stream.Err(); err != nil {
panic(err)
}
}
</code></pre>
<h2 id="go-tts">Text-to-Speech Example</h2>
<p>Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.</p>
<pre><code class="go">package main
import (
"context"
"io"
"os"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://speech.ai.unturf.com/v1"),
option.WithAPIKey("YOLO"),
)
response, err := client.Audio.Speech.New(context.Background(), openai.AudioSpeechNewParams{
Model: openai.F(openai.SpeechModelTTS1),
Voice: openai.F(openai.AudioSpeechNewParamsVoiceAlloy),
Input: openai.F("I think so therefore, Today is a wonderful day to grow something people love!"),
Speed: openai.Float(0.9),
})
if err != nil {
panic(err)
}
defer response.Body.Close()
file, err := os.Create("speech.mp3")
if err != nil {
panic(err)
}
defer file.Close()
_, err = io.Copy(file, response.Body)
if err != nil {
panic(err)
}
}
</code></pre>
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