From d917f220423065e5a396e923bf5154c87afc5566 Mon Sep 17 00:00:00 2001 From: Russell Ballestrini Date: Wed, 15 Oct 2025 10:44:48 -0400 Subject: [PATCH] add 10 language example pages (Go, Ruby, Java, C#, Rust, PHP, Elixir, Kotlin, Swift, Dart) and update navigation with book and all-languages links --- csharp-examples.html | 319 ++++++++++++++++++++++++++++++++++++++ dart-examples.html | 320 ++++++++++++++++++++++++++++++++++++++ elixir-examples.html | 278 +++++++++++++++++++++++++++++++++ go-examples.html | 353 ++++++++++++++++++++++++++++++++++++++++++ index.html | 2 + inference.html | 2 + java-examples.html | 348 +++++++++++++++++++++++++++++++++++++++++ kotlin-examples.html | 344 +++++++++++++++++++++++++++++++++++++++++ nodejs-examples.html | 2 + php-examples.html | 296 +++++++++++++++++++++++++++++++++++ python-examples.html | 2 + ruby-examples.html | 282 +++++++++++++++++++++++++++++++++ rust-examples.html | 360 +++++++++++++++++++++++++++++++++++++++++++ swift-examples.html | 309 +++++++++++++++++++++++++++++++++++++ uncloseai-js.html | 2 + 15 files changed, 3219 insertions(+) create mode 100644 csharp-examples.html create mode 100644 dart-examples.html create mode 100644 elixir-examples.html create mode 100644 go-examples.html create mode 100644 java-examples.html create mode 100644 kotlin-examples.html create mode 100644 php-examples.html create mode 100644 ruby-examples.html create mode 100644 rust-examples.html create mode 100644 swift-examples.html diff --git a/csharp-examples.html b/csharp-examples.html new file mode 100644 index 0000000..9ef3a65 --- /dev/null +++ b/csharp-examples.html @@ -0,0 +1,319 @@ + + + + + + + + + C# Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+

uncloseai.

 +

C# Examples - Free LLM & TTS AI Service

+
+ +
+ +

C# Examples

+

This page demonstrates how to use the uncloseai. API endpoints with C# using the official OpenAI .NET library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.

+ +

Available Endpoints:

+ + +

C# Client Installation

+

Install the OpenAI NuGet package using the .NET CLI:

+ 
dotnet add package OpenAI
+ +

Or via Package Manager Console:

+ 
Install-Package OpenAI
+ +

Non-Streaming Examples

+

Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

+ +

Using Hermes (General Purpose)

+ 
using OpenAI.Chat;
+
+var client = new ChatClient(
+    model: "adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic",
+    apiKey: "choose-any-value",
+    new OpenAIClientOptions
+    {
+        Endpoint = new Uri("https://hermes.ai.unturf.com/v1")
+    }
+);
+
+ChatCompletion completion = await client.CompleteChatAsync(
+    new List<ChatMessage>
+    {
+        new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
+    },
+    new ChatCompletionOptions
+    {
+        Temperature = 0.5f,
+        MaxTokens = 150
+    }
+);
+
+Console.WriteLine(completion.Content[0].Text);
+
+ +

Using Qwen 3 Coder (Specialized for Coding)

+ 
using OpenAI.Chat;
+
+var client = new ChatClient(
+    model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
+    apiKey: "choose-any-value",
+    new OpenAIClientOptions
+    {
+        Endpoint = new Uri("https://qwen.ai.unturf.com/v1")
+    }
+);
+
+ChatCompletion completion = await client.CompleteChatAsync(
+    new List<ChatMessage>
+    {
+        new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
+    },
+    new ChatCompletionOptions
+    {
+        Temperature = 0.5f,
+        MaxTokens = 150
+    }
+);
+
+Console.WriteLine(completion.Content[0].Text);
+
+ +

Streaming Examples

+

Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

+ +

Using Hermes (General Purpose)

+ 
using OpenAI.Chat;
+
+var client = new ChatClient(
+    model: "adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic",
+    apiKey: "choose-any-value",
+    new OpenAIClientOptions
+    {
+        Endpoint = new Uri("https://hermes.ai.unturf.com/v1")
+    }
+);
+
+var streamingUpdates = client.CompleteChatStreamingAsync(
+    new List<ChatMessage>
+    {
+        new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
+    },
+    new ChatCompletionOptions
+    {
+        Temperature = 0.5f,
+        MaxTokens = 150
+    }
+);
+
+await foreach (var update in streamingUpdates)
+{
+    foreach (var contentPart in update.ContentUpdate)
+    {
+        Console.Write(contentPart.Text);
+    }
+}
+
+ +

Using Qwen 3 Coder (Specialized for Coding)

+ 
using OpenAI.Chat;
+
+var client = new ChatClient(
+    model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
+    apiKey: "choose-any-value",
+    new OpenAIClientOptions
+    {
+        Endpoint = new Uri("https://qwen.ai.unturf.com/v1")
+    }
+);
+
+var streamingUpdates = client.CompleteChatStreamingAsync(
+    new List<ChatMessage>
+    {
+        new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
+    },
+    new ChatCompletionOptions
+    {
+        Temperature = 0.5f,
+        MaxTokens = 150
+    }
+);
+
+await foreach (var update in streamingUpdates)
+{
+    foreach (var contentPart in update.ContentUpdate)
+    {
+        Console.Write(contentPart.Text);
+    }
+}
+
+ +

Text-to-Speech Example

+

Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

+ + 
using OpenAI.Audio;
+
+var client = new AudioClient(
+    model: "tts-1",
+    apiKey: "YOLO",
+    new OpenAIClientOptions
+    {
+        Endpoint = new Uri("https://speech.ai.unturf.com/v1")
+    }
+);
+
+BinaryData speech = await client.GenerateSpeechAsync(
+    "I think so therefore, Today is a wonderful day to build something people love!",
+    GeneratedSpeechVoice.Alloy,
+    new SpeechGenerationOptions
+    {
+        Speed = 0.9f
+    }
+);
+
+await File.WriteAllBytesAsync("speech.mp3", speech.ToArray());
+
+ + + + + + +
+ + + + + + diff --git a/dart-examples.html b/dart-examples.html new file mode 100644 index 0000000..aee202e --- /dev/null +++ b/dart-examples.html @@ -0,0 +1,320 @@ + + + + + + + + + Dart Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+

uncloseai.

 +

Dart Examples - Free LLM & TTS AI Service

+
+ +
+ +

Dart Examples

+

This page demonstrates how to use the uncloseai. API endpoints with Dart/Flutter using the dart_openai community library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.

+ +

Available Endpoints:

+ + +

Dart Client Installation

+

Add dart_openai to your pubspec.yaml:

+ 
dependencies:
+  dart_openai: ^5.1.0
+ +

Non-Streaming Examples

+

Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

+ +

Using Hermes (General Purpose)

+ 
import 'package:dart_openai/dart_openai.dart';
+
+void main() async {
+  OpenAI.apiKey = "choose-any-value";
+  OpenAI.baseUrl = "https://hermes.ai.unturf.com/v1";
+
+  final chatCompletion = await OpenAI.instance.chat.create(
+    model: "adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic",
+    messages: [
+      OpenAIChatCompletionChoiceMessageModel(
+        role: OpenAIChatMessageRole.user,
+        content: [
+          OpenAIChatCompletionChoiceMessageContentItemModel.text(
+            "Give a Python Fizzbuzz solution in one line of code?"
+          ),
+        ],
+      ),
+    ],
+    temperature: 0.5,
+    maxTokens: 150,
+  );
+
+  print(chatCompletion.choices.first.message.content?.first.text);
+}
+
+ +

Using Qwen 3 Coder (Specialized for Coding)

+ 
import 'package:dart_openai/dart_openai.dart';
+
+void main() async {
+  OpenAI.apiKey = "choose-any-value";
+  OpenAI.baseUrl = "https://qwen.ai.unturf.com/v1";
+
+  final chatCompletion = await OpenAI.instance.chat.create(
+    model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
+    messages: [
+      OpenAIChatCompletionChoiceMessageModel(
+        role: OpenAIChatMessageRole.user,
+        content: [
+          OpenAIChatCompletionChoiceMessageContentItemModel.text(
+            "Give a Python Fizzbuzz solution in one line of code?"
+          ),
+        ],
+      ),
+    ],
+    temperature: 0.5,
+    maxTokens: 150,
+  );
+
+  print(chatCompletion.choices.first.message.content?.first.text);
+}
+
+ +

Streaming Examples

+

Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

+ +

Using Hermes (General Purpose)

+ 
import 'package:dart_openai/dart_openai.dart';
+import 'dart:io';
+
+void main() async {
+  OpenAI.apiKey = "choose-any-value";
+  OpenAI.baseUrl = "https://hermes.ai.unturf.com/v1";
+
+  final chatStream = OpenAI.instance.chat.createStream(
+    model: "adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic",
+    messages: [
+      OpenAIChatCompletionChoiceMessageModel(
+        role: OpenAIChatMessageRole.user,
+        content: [
+          OpenAIChatCompletionChoiceMessageContentItemModel.text(
+            "Give a Python Fizzbuzz solution in one line of code?"
+          ),
+        ],
+      ),
+    ],
+    temperature: 0.5,
+    maxTokens: 150,
+  );
+
+  await for (final chunk in chatStream) {
+    final content = chunk.choices.first.delta.content;
+    if (content != null && content.isNotEmpty) {
+      stdout.write(content.first.text);
+    }
+  }
+}
+
+ +

Using Qwen 3 Coder (Specialized for Coding)

+ 
import 'package:dart_openai/dart_openai.dart';
+import 'dart:io';
+
+void main() async {
+  OpenAI.apiKey = "choose-any-value";
+  OpenAI.baseUrl = "https://qwen.ai.unturf.com/v1";
+
+  final chatStream = OpenAI.instance.chat.createStream(
+    model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
+    messages: [
+      OpenAIChatCompletionChoiceMessageModel(
+        role: OpenAIChatMessageRole.user,
+        content: [
+          OpenAIChatCompletionChoiceMessageContentItemModel.text(
+            "Give a Python Fizzbuzz solution in one line of code?"
+          ),
+        ],
+      ),
+    ],
+    temperature: 0.5,
+    maxTokens: 150,
+  );
+
+  await for (final chunk in chatStream) {
+    final content = chunk.choices.first.delta.content;
+    if (content != null && content.isNotEmpty) {
+      stdout.write(content.first.text);
+    }
+  }
+}
+
+ +

Text-to-Speech Example

+

Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

+ + 
import 'package:dart_openai/dart_openai.dart';
+import 'dart:io';
+
+void main() async {
+  OpenAI.apiKey = "YOLO";
+  OpenAI.baseUrl = "https://speech.ai.unturf.com/v1";
+
+  final speech = await OpenAI.instance.audio.createSpeech(
+    model: "tts-1",
+    input: "I think so therefore, Today is a wonderful day to build something people love!",
+    voice: "alloy",
+    speed: 0.9,
+  );
+
+  final file = File("speech.mp3");
+  await file.writeAsBytes(speech);
+  print("Audio saved to: ${file.path}");
+}
+
+ + + + + + +
+ + + + + + diff --git a/elixir-examples.html b/elixir-examples.html new file mode 100644 index 0000000..565f3aa --- /dev/null +++ b/elixir-examples.html @@ -0,0 +1,278 @@ + + + + + + + + + Elixir Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+

uncloseai.

 +

Elixir Examples - Free LLM & TTS AI Service

+
+ +
+ +

Elixir Examples

+

This page demonstrates how to use the uncloseai. API endpoints with Elixir using the openai_ex community library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.

+ +

Available Endpoints:

+ + +

Elixir Client Installation

+

Add openai_ex to your mix.exs dependencies:

+ 
def deps do
+  [
+    {:openai_ex, "~> 0.9.17"}
+  ]
+end
+ +

Non-Streaming Examples

+

Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

+ +

Using Hermes (General Purpose)

+ 
config = %OpenaiEx.Config{
+  api_key: "choose-any-value",
+  api_url: "https://hermes.ai.unturf.com/v1"
+}
+
+{:ok, response} = OpenaiEx.ChatCompletion.create(
+  config,
+  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
+)
+
+IO.puts(response["choices"] |> List.first() |> get_in(["message", "content"]))
+
+ +

Using Qwen 3 Coder (Specialized for Coding)

+ 
config = %OpenaiEx.Config{
+  api_key: "choose-any-value",
+  api_url: "https://qwen.ai.unturf.com/v1"
+}
+
+{:ok, response} = OpenaiEx.ChatCompletion.create(
+  config,
+  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
+)
+
+IO.puts(response["choices"] |> List.first() |> get_in(["message", "content"]))
+
+ +

Streaming Examples

+

Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

+ +

Using Hermes (General Purpose)

+ 
config = %OpenaiEx.Config{
+  api_key: "choose-any-value",
+  api_url: "https://hermes.ai.unturf.com/v1"
+}
+
+OpenaiEx.ChatCompletion.create_stream(
+  config,
+  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
+)
+|> Stream.each(fn chunk ->
+  content = get_in(chunk, ["choices", Access.at(0), "delta", "content"])
+  if content, do: IO.write(content)
+end)
+|> Stream.run()
+
+ +

Using Qwen 3 Coder (Specialized for Coding)

+ 
config = %OpenaiEx.Config{
+  api_key: "choose-any-value",
+  api_url: "https://qwen.ai.unturf.com/v1"
+}
+
+OpenaiEx.ChatCompletion.create_stream(
+  config,
+  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.each(fn chunk ->
+  content = get_in(chunk, ["choices", Access.at(0), "delta", "content"])
+  if content, do: IO.write(content)
+end)
+|> Stream.run()
+
+ +

Text-to-Speech Example

+

Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

+ + 
config = %OpenaiEx.Config{
+  api_key: "YOLO",
+  api_url: "https://speech.ai.unturf.com/v1"
+}
+
+{:ok, audio_data} = OpenaiEx.Audio.Speech.create(
+  config,
+  model: "tts-1",
+  voice: "alloy",
+  input: "I think so therefore, Today is a wonderful day to build something people love!",
+  speed: 0.9
+)
+
+File.write!("speech.mp3", audio_data)
+
+ + + + + + +
+ + + + + + diff --git a/go-examples.html b/go-examples.html new file mode 100644 index 0000000..3a920ed --- /dev/null +++ b/go-examples.html @@ -0,0 +1,353 @@ + + + + + + + + + Go Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+

uncloseai.

 +

Go Examples - Free LLM & TTS AI Service

+
+ +
+ +

Go Examples

+

This page demonstrates how to use the uncloseai. 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.

+ +

Available Endpoints:

+ + +

Go Client Installation

+

To install the official OpenAI Go package, use go get:

+ 
go get github.com/openai/openai-go
+ +

Non-Streaming Examples

+

Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

+ +

Using Hermes (General Purpose)

+ 
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)
+}
+
+ +

Using Qwen 3 Coder (Specialized for Coding)

+ 
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)
+}
+
+ +

Streaming Examples

+

Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

+ +

Using Hermes (General Purpose)

+ 
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)
+    }
+}
+
+ +

Using Qwen 3 Coder (Specialized for Coding)

+ 
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)
+    }
+}
+
+ +

Text-to-Speech Example

+

Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

+ + 
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 build 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)
+    }
+}
+
+ + + + + + +
+ + + + + + diff --git a/index.html b/index.html index 371981e..7d0055a 100644 --- a/index.html +++ b/index.html @@ -62,6 +62,8 @@
  • Node.js Examples
  • uncloseai.js Docs
  • Inference Setup
    • +
  • 🔗 All Languages
    • +
  • 📚 Book
    • diff --git a/inference.html b/inference.html index a32669c..f8427d9 100644 --- a/inference.html +++ b/inference.html @@ -53,6 +53,8 @@
  • Node.js Examples
  • uncloseai.js Docs
  • Inference Setup
    • +
  • 🔗 All Languages
    • +
  • 📚 Book
    • diff --git a/java-examples.html b/java-examples.html new file mode 100644 index 0000000..6ca108d --- /dev/null +++ b/java-examples.html @@ -0,0 +1,348 @@ + + + + + + + + + Java Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    +
    +

    uncloseai.

     +

    Java Examples - Free LLM & TTS AI Service

    +
    + +
    + +

    Java Examples

    +

    This page demonstrates how to use the uncloseai. API endpoints with Java using the official OpenAI Java library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.

    + +

    Available Endpoints:

    + + +

    Java Client Installation

    +

    Add the official OpenAI Java library to your Maven pom.xml:

    + 
    <dependency>
+    <groupId>com.openai</groupId>
+    <artifactId>openai-java</artifactId>
+    <version>0.8.1</version>
+</dependency>
    + +

    Or for Gradle:

    + 
    implementation 'com.openai:openai-java:0.8.1'
    + +

    Non-Streaming Examples

    +

    Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

    + +

    Using Hermes (General Purpose)

    + 
    import com.openai.client.OpenAIClient;
+import com.openai.client.okhttp.OpenAIOkHttpClient;
+import com.openai.models.*;
+import java.util.List;
+
+public class HermesExample {
+    public static void main(String[] args) {
+        OpenAIClient client = OpenAIOkHttpClient.builder()
+            .apiKey("choose-any-value")
+            .baseURL("https://hermes.ai.unturf.com/v1")
+            .build();
+
+        ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
+            .model("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic")
+            .addMessage(ChatCompletionMessageParam.ofChatCompletionUserMessageParam(
+                ChatCompletionUserMessageParam.builder()
+                    .role(ChatCompletionUserMessageParam.Role.USER)
+                    .content(ChatCompletionUserMessageParam.Content.ofTextContent(
+                        "Give a Python Fizzbuzz solution in one line of code?"
+                    ))
+                    .build()
+            ))
+            .temperature(0.5)
+            .maxTokens(150L)
+            .build();
+
+        ChatCompletion completion = client.chat().completions().create(params);
+        System.out.println(completion.choices().get(0).message().content().get());
+    }
+}
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    import com.openai.client.OpenAIClient;
+import com.openai.client.okhttp.OpenAIOkHttpClient;
+import com.openai.models.*;
+import java.util.List;
+
+public class QwenExample {
+    public static void main(String[] args) {
+        OpenAIClient client = OpenAIOkHttpClient.builder()
+            .apiKey("choose-any-value")
+            .baseURL("https://qwen.ai.unturf.com/v1")
+            .build();
+
+        ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
+            .model("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M")
+            .addMessage(ChatCompletionMessageParam.ofChatCompletionUserMessageParam(
+                ChatCompletionUserMessageParam.builder()
+                    .role(ChatCompletionUserMessageParam.Role.USER)
+                    .content(ChatCompletionUserMessageParam.Content.ofTextContent(
+                        "Give a Python Fizzbuzz solution in one line of code?"
+                    ))
+                    .build()
+            ))
+            .temperature(0.5)
+            .maxTokens(150L)
+            .build();
+
+        ChatCompletion completion = client.chat().completions().create(params);
+        System.out.println(completion.choices().get(0).message().content().get());
+    }
+}
+
    + +

    Streaming Examples

    +

    Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

    + +

    Using Hermes (General Purpose)

    + 
    import com.openai.client.OpenAIClient;
+import com.openai.client.okhttp.OpenAIOkHttpClient;
+import com.openai.models.*;
+
+public class HermesStreamExample {
+    public static void main(String[] args) {
+        OpenAIClient client = OpenAIOkHttpClient.builder()
+            .apiKey("choose-any-value")
+            .baseURL("https://hermes.ai.unturf.com/v1")
+            .build();
+
+        ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
+            .model("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic")
+            .addMessage(ChatCompletionMessageParam.ofChatCompletionUserMessageParam(
+                ChatCompletionUserMessageParam.builder()
+                    .role(ChatCompletionUserMessageParam.Role.USER)
+                    .content(ChatCompletionUserMessageParam.Content.ofTextContent(
+                        "Give a Python Fizzbuzz solution in one line of code?"
+                    ))
+                    .build()
+            ))
+            .temperature(0.5)
+            .maxTokens(150L)
+            .build();
+
+        client.chat().completions().createStreaming(params)
+            .forEach(chunk -> {
+                String content = chunk.choices().get(0).delta().content().orElse("");
+                if (!content.isEmpty()) {
+                    System.out.print(content);
+                }
+            });
+    }
+}
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    import com.openai.client.OpenAIClient;
+import com.openai.client.okhttp.OpenAIOkHttpClient;
+import com.openai.models.*;
+
+public class QwenStreamExample {
+    public static void main(String[] args) {
+        OpenAIClient client = OpenAIOkHttpClient.builder()
+            .apiKey("choose-any-value")
+            .baseURL("https://qwen.ai.unturf.com/v1")
+            .build();
+
+        ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
+            .model("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M")
+            .addMessage(ChatCompletionMessageParam.ofChatCompletionUserMessageParam(
+                ChatCompletionUserMessageParam.builder()
+                    .role(ChatCompletionUserMessageParam.Role.USER)
+                    .content(ChatCompletionUserMessageParam.Content.ofTextContent(
+                        "Give a Python Fizzbuzz solution in one line of code?"
+                    ))
+                    .build()
+            ))
+            .temperature(0.5)
+            .maxTokens(150L)
+            .build();
+
+        client.chat().completions().createStreaming(params)
+            .forEach(chunk -> {
+                String content = chunk.choices().get(0).delta().content().orElse("");
+                if (!content.isEmpty()) {
+                    System.out.print(content);
+                }
+            });
+    }
+}
+
    + +

    Text-to-Speech Example

    +

    Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

    + + 
    import com.openai.client.OpenAIClient;
+import com.openai.client.okhttp.OpenAIOkHttpClient;
+import com.openai.models.*;
+import java.io.FileOutputStream;
+import java.io.IOException;
+
+public class TTSExample {
+    public static void main(String[] args) throws IOException {
+        OpenAIClient client = OpenAIOkHttpClient.builder()
+            .apiKey("YOLO")
+            .baseURL("https://speech.ai.unturf.com/v1")
+            .build();
+
+        SpeechCreateParams params = SpeechCreateParams.builder()
+            .model(SpeechModel.TTS_1)
+            .voice(SpeechCreateParams.Voice.ALLOY)
+            .input("I think so therefore, Today is a wonderful day to build something people love!")
+            .speed(0.9)
+            .build();
+
+        byte[] audioBytes = client.audio().speech().create(params);
+
+        try (FileOutputStream fos = new FileOutputStream("speech.mp3")) {
+            fos.write(audioBytes);
+        }
+    }
+}
+
    + + + + + + +
    + + + + + + diff --git a/kotlin-examples.html b/kotlin-examples.html new file mode 100644 index 0000000..a643b20 --- /dev/null +++ b/kotlin-examples.html @@ -0,0 +1,344 @@ + + + + + + + + + Kotlin Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    +
    +

    uncloseai.

     +

    Kotlin Examples - Free LLM & TTS AI Service

    +
    + +
    + +

    Kotlin Examples

    +

    This page demonstrates how to use the uncloseai. API endpoints with Kotlin using the openai-kotlin community library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.

    + +

    Available Endpoints:

    + + +

    Kotlin Client Installation

    +

    Add openai-kotlin to your build.gradle.kts:

    + 
    dependencies {
+    implementation("com.aallam.openai:openai-client:3.8.2")
+    implementation("io.ktor:ktor-client-okhttp:2.3.12")
+}
    + +

    Non-Streaming Examples

    +

    Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

    + +

    Using Hermes (General Purpose)

    + 
    import com.aallam.openai.api.chat.*
+import com.aallam.openai.api.model.ModelId
+import com.aallam.openai.client.OpenAI
+import com.aallam.openai.client.OpenAIConfig
+import com.aallam.openai.client.OpenAIHost
+
+suspend fun main() {
+    val openAI = OpenAI(
+        OpenAIConfig(
+            token = "choose-any-value",
+            host = OpenAIHost("https://hermes.ai.unturf.com/v1")
+        )
+    )
+
+    val chatCompletionRequest = ChatCompletionRequest(
+        model = ModelId("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic"),
+        messages = listOf(
+            ChatMessage(
+                role = ChatRole.User,
+                content = "Give a Python Fizzbuzz solution in one line of code?"
+            )
+        ),
+        temperature = 0.5,
+        maxTokens = 150
+    )
+
+    val completion = openAI.chatCompletion(chatCompletionRequest)
+    println(completion.choices[0].message.content)
+}
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    import com.aallam.openai.api.chat.*
+import com.aallam.openai.api.model.ModelId
+import com.aallam.openai.client.OpenAI
+import com.aallam.openai.client.OpenAIConfig
+import com.aallam.openai.client.OpenAIHost
+
+suspend fun main() {
+    val openAI = OpenAI(
+        OpenAIConfig(
+            token = "choose-any-value",
+            host = OpenAIHost("https://qwen.ai.unturf.com/v1")
+        )
+    )
+
+    val chatCompletionRequest = ChatCompletionRequest(
+        model = ModelId("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M"),
+        messages = listOf(
+            ChatMessage(
+                role = ChatRole.User,
+                content = "Give a Python Fizzbuzz solution in one line of code?"
+            )
+        ),
+        temperature = 0.5,
+        maxTokens = 150
+    )
+
+    val completion = openAI.chatCompletion(chatCompletionRequest)
+    println(completion.choices[0].message.content)
+}
+
    + +

    Streaming Examples

    +

    Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

    + +

    Using Hermes (General Purpose)

    + 
    import com.aallam.openai.api.chat.*
+import com.aallam.openai.api.model.ModelId
+import com.aallam.openai.client.OpenAI
+import com.aallam.openai.client.OpenAIConfig
+import com.aallam.openai.client.OpenAIHost
+import kotlinx.coroutines.flow.collect
+
+suspend fun main() {
+    val openAI = OpenAI(
+        OpenAIConfig(
+            token = "choose-any-value",
+            host = OpenAIHost("https://hermes.ai.unturf.com/v1")
+        )
+    )
+
+    val chatCompletionRequest = ChatCompletionRequest(
+        model = ModelId("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic"),
+        messages = listOf(
+            ChatMessage(
+                role = ChatRole.User,
+                content = "Give a Python Fizzbuzz solution in one line of code?"
+            )
+        ),
+        temperature = 0.5,
+        maxTokens = 150
+    )
+
+    openAI.chatCompletions(chatCompletionRequest).collect { chunk ->
+        chunk.choices.forEach { choice ->
+            choice.delta.content?.let { print(it) }
+        }
+    }
+}
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    import com.aallam.openai.api.chat.*
+import com.aallam.openai.api.model.ModelId
+import com.aallam.openai.client.OpenAI
+import com.aallam.openai.client.OpenAIConfig
+import com.aallam.openai.client.OpenAIHost
+import kotlinx.coroutines.flow.collect
+
+suspend fun main() {
+    val openAI = OpenAI(
+        OpenAIConfig(
+            token = "choose-any-value",
+            host = OpenAIHost("https://qwen.ai.unturf.com/v1")
+        )
+    )
+
+    val chatCompletionRequest = ChatCompletionRequest(
+        model = ModelId("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M"),
+        messages = listOf(
+            ChatMessage(
+                role = ChatRole.User,
+                content = "Give a Python Fizzbuzz solution in one line of code?"
+            )
+        ),
+        temperature = 0.5,
+        maxTokens = 150
+    )
+
+    openAI.chatCompletions(chatCompletionRequest).collect { chunk ->
+        chunk.choices.forEach { choice ->
+            choice.delta.content?.let { print(it) }
+        }
+    }
+}
+
    + +

    Text-to-Speech Example

    +

    Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

    + + 
    import com.aallam.openai.api.audio.SpeechRequest
+import com.aallam.openai.api.audio.Voice
+import com.aallam.openai.api.model.ModelId
+import com.aallam.openai.client.OpenAI
+import com.aallam.openai.client.OpenAIConfig
+import com.aallam.openai.client.OpenAIHost
+import java.io.File
+
+suspend fun main() {
+    val openAI = OpenAI(
+        OpenAIConfig(
+            token = "YOLO",
+            host = OpenAIHost("https://speech.ai.unturf.com/v1")
+        )
+    )
+
+    val speechRequest = SpeechRequest(
+        model = ModelId("tts-1"),
+        input = "I think so therefore, Today is a wonderful day to build something people love!",
+        voice = Voice.Alloy,
+        speed = 0.9
+    )
+
+    val speech = openAI.speech(speechRequest)
+    File("speech.mp3").writeBytes(speech)
+}
+
    + + + + + + +
    + + + + + + diff --git a/nodejs-examples.html b/nodejs-examples.html index 892aaf5..6bc5e57 100644 --- a/nodejs-examples.html +++ b/nodejs-examples.html @@ -53,6 +53,8 @@
  • Node.js Examples
  • uncloseai.js Docs
  • Inference Setup
    • +
  • 🔗 All Languages
    • +
  • 📚 Book
    • diff --git a/php-examples.html b/php-examples.html new file mode 100644 index 0000000..eadcc47 --- /dev/null +++ b/php-examples.html @@ -0,0 +1,296 @@ + + + + + + + + + PHP Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    +
    +

    uncloseai.

     +

    PHP Examples - Free LLM & TTS AI Service

    +
    + +
    + +

    PHP Examples

    +

    This page demonstrates how to use the uncloseai. API endpoints with PHP using the openai-php/client community library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.

    + +

    Available Endpoints:

    + + +

    PHP Client Installation

    +

    Install the OpenAI PHP client via Composer:

    + 
    composer require openai-php/client
    + +

    Non-Streaming Examples

    +

    Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

    + +

    Using Hermes (General Purpose)

    + 
    <?php
+
+require 'vendor/autoload.php';
+
+use OpenAI;
+
+$client = OpenAI::factory()
+    ->withApiKey('choose-any-value')
+    ->withBaseUri('https://hermes.ai.unturf.com/v1')
+    ->make();
+
+$response = $client->chat()->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,
+]);
+
+echo $response->choices[0]->message->content;
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    <?php
+
+require 'vendor/autoload.php';
+
+use OpenAI;
+
+$client = OpenAI::factory()
+    ->withApiKey('choose-any-value')
+    ->withBaseUri('https://qwen.ai.unturf.com/v1')
+    ->make();
+
+$response = $client->chat()->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,
+]);
+
+echo $response->choices[0]->message->content;
+
    + +

    Streaming Examples

    +

    Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

    + +

    Using Hermes (General Purpose)

    + 
    <?php
+
+require 'vendor/autoload.php';
+
+use OpenAI;
+
+$client = OpenAI::factory()
+    ->withApiKey('choose-any-value')
+    ->withBaseUri('https://hermes.ai.unturf.com/v1')
+    ->make();
+
+$stream = $client->chat()->createStreamed([
+    'model' => 'adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic',
+    'messages' => [
+        ['role' => 'user', 'content' => 'Give a Python Fizzbuzz solution in one line of code?'],
+    ],
+    'temperature' => 0.5,
+    'max_tokens' => 150,
+]);
+
+foreach ($stream as $response) {
+    echo $response->choices[0]->delta->content ?? '';
+}
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    <?php
+
+require 'vendor/autoload.php';
+
+use OpenAI;
+
+$client = OpenAI::factory()
+    ->withApiKey('choose-any-value')
+    ->withBaseUri('https://qwen.ai.unturf.com/v1')
+    ->make();
+
+$stream = $client->chat()->createStreamed([
+    'model' => 'hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M',
+    'messages' => [
+        ['role' => 'user', 'content' => 'Give a Python Fizzbuzz solution in one line of code?'],
+    ],
+    'temperature' => 0.5,
+    'max_tokens' => 150,
+]);
+
+foreach ($stream as $response) {
+    echo $response->choices[0]->delta->content ?? '';
+}
+
    + +

    Text-to-Speech Example

    +

    Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

    + + 
    <?php
+
+require 'vendor/autoload.php';
+
+use OpenAI;
+
+$client = OpenAI::factory()
+    ->withApiKey('YOLO')
+    ->withBaseUri('https://speech.ai.unturf.com/v1')
+    ->make();
+
+$response = $client->audio()->speech([
+    'model' => 'tts-1',
+    'voice' => 'alloy',
+    'input' => 'I think so therefore, Today is a wonderful day to build something people love!',
+    'speed' => 0.9,
+]);
+
+file_put_contents('speech.mp3', $response);
+
    + + + + + + +
    + + + + + + diff --git a/python-examples.html b/python-examples.html index 42ee6c9..56dddb6 100644 --- a/python-examples.html +++ b/python-examples.html @@ -53,6 +53,8 @@
  • Node.js Examples
  • uncloseai.js Docs
  • Inference Setup
    • +
  • 🔗 All Languages
    • +
  • 📚 Book
    • diff --git a/ruby-examples.html b/ruby-examples.html new file mode 100644 index 0000000..bd2c7ee --- /dev/null +++ b/ruby-examples.html @@ -0,0 +1,282 @@ + + + + + + + + + Ruby Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    +
    +

    uncloseai.

     +

    Ruby Examples - Free LLM & TTS AI Service

    +
    + +
    + +

    Ruby Examples

    +

    This page demonstrates how to use the uncloseai. 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.

    + +

    Available Endpoints:

    + + +

    Ruby Client Installation

    +

    To install the official OpenAI gem for Ruby, add to your Gemfile or use gem install:

    + 
    gem install openai
    + +

    Non-Streaming Examples

    +

    Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

    + +

    Using Hermes (General Purpose)

    + 
    require "openai"
+
+client = OpenAI::Client.new(
+  access_token: "choose-any-value",
+  uri_base: "https://hermes.ai.unturf.com/v1"
+)
+
+response = client.chat(
+  parameters: {
+    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
+  }
+)
+
+puts response.dig("choices", 0, "message", "content")
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    require "openai"
+
+client = OpenAI::Client.new(
+  access_token: "choose-any-value",
+  uri_base: "https://qwen.ai.unturf.com/v1"
+)
+
+response = client.chat(
+  parameters: {
+    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
+  }
+)
+
+puts response.dig("choices", 0, "message", "content")
+
    + +

    Streaming Examples

    +

    Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

    + +

    Using Hermes (General Purpose)

    + 
    require "openai"
+
+client = OpenAI::Client.new(
+  access_token: "choose-any-value",
+  uri_base: "https://hermes.ai.unturf.com/v1"
+)
+
+client.chat(
+  parameters: {
+    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,
+    stream: proc do |chunk, _bytesize|
+      content = chunk.dig("choices", 0, "delta", "content")
+      print content if content
+    end
+  }
+)
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    require "openai"
+
+client = OpenAI::Client.new(
+  access_token: "choose-any-value",
+  uri_base: "https://qwen.ai.unturf.com/v1"
+)
+
+client.chat(
+  parameters: {
+    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: proc do |chunk, _bytesize|
+      content = chunk.dig("choices", 0, "delta", "content")
+      print content if content
+    end
+  }
+)
+
    + +

    Text-to-Speech Example

    +

    Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

    + + 
    require "openai"
+
+client = OpenAI::Client.new(
+  access_token: "YOLO",
+  uri_base: "https://speech.ai.unturf.com/v1"
+)
+
+response = client.audio.speech(
+  parameters: {
+    model: "tts-1",
+    voice: "alloy",
+    input: "I think so therefore, Today is a wonderful day to build something people love!",
+    speed: 0.9
+  }
+)
+
+File.binwrite("speech.mp3", response)
+
    + + + + + + +
    + + + + + + diff --git a/rust-examples.html b/rust-examples.html new file mode 100644 index 0000000..705d080 --- /dev/null +++ b/rust-examples.html @@ -0,0 +1,360 @@ + + + + + + + + + Rust Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    +
    +

    uncloseai.

     +

    Rust Examples - Free LLM & TTS AI Service

    +
    + +
    + +

    Rust Examples

    +

    This page demonstrates how to use the uncloseai. API endpoints with Rust using the async-openai community library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.

    + +

    Available Endpoints:

    + + +

    Rust Client Installation

    +

    Add the async-openai crate to your Cargo.toml:

    + 
    [dependencies]
+async-openai = "0.24"
+tokio = { version = "1", features = ["full"] }
    + +

    Non-Streaming Examples

    +

    Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

    + +

    Using Hermes (General Purpose)

    + 
    use async_openai::{
+    config::OpenAIConfig,
+    types::{ChatCompletionRequestMessage, CreateChatCompletionRequestArgs},
+    Client,
+};
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let config = OpenAIConfig::new()
+        .with_api_key("choose-any-value")
+        .with_api_base("https://hermes.ai.unturf.com/v1");
+
+    let client = Client::with_config(config);
+
+    let request = CreateChatCompletionRequestArgs::default()
+        .model("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic")
+        .messages(vec![ChatCompletionRequestMessage::User(
+            "Give a Python Fizzbuzz solution in one line of code?".into()
+        )])
+        .temperature(0.5)
+        .max_tokens(150u32)
+        .build()?;
+
+    let response = client.chat().create(request).await?;
+
+    println!("{}", response.choices[0].message.content.as_ref().unwrap());
+
+    Ok(())
+}
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    use async_openai::{
+    config::OpenAIConfig,
+    types::{ChatCompletionRequestMessage, CreateChatCompletionRequestArgs},
+    Client,
+};
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let config = OpenAIConfig::new()
+        .with_api_key("choose-any-value")
+        .with_api_base("https://qwen.ai.unturf.com/v1");
+
+    let client = Client::with_config(config);
+
+    let request = CreateChatCompletionRequestArgs::default()
+        .model("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M")
+        .messages(vec![ChatCompletionRequestMessage::User(
+            "Give a Python Fizzbuzz solution in one line of code?".into()
+        )])
+        .temperature(0.5)
+        .max_tokens(150u32)
+        .build()?;
+
+    let response = client.chat().create(request).await?;
+
+    println!("{}", response.choices[0].message.content.as_ref().unwrap());
+
+    Ok(())
+}
+
    + +

    Streaming Examples

    +

    Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

    + +

    Using Hermes (General Purpose)

    + 
    use async_openai::{
+    config::OpenAIConfig,
+    types::{ChatCompletionRequestMessage, CreateChatCompletionRequestArgs},
+    Client,
+};
+use futures::StreamExt;
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let config = OpenAIConfig::new()
+        .with_api_key("choose-any-value")
+        .with_api_base("https://hermes.ai.unturf.com/v1");
+
+    let client = Client::with_config(config);
+
+    let request = CreateChatCompletionRequestArgs::default()
+        .model("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic")
+        .messages(vec![ChatCompletionRequestMessage::User(
+            "Give a Python Fizzbuzz solution in one line of code?".into()
+        )])
+        .temperature(0.5)
+        .max_tokens(150u32)
+        .build()?;
+
+    let mut stream = client.chat().create_stream(request).await?;
+
+    while let Some(result) = stream.next().await {
+        match result {
+            Ok(response) => {
+                for choice in response.choices {
+                    if let Some(content) = &choice.delta.content {
+                        print!("{}", content);
+                    }
+                }
+            }
+            Err(err) => eprintln!("Error: {}", err),
+        }
+    }
+
+    Ok(())
+}
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    use async_openai::{
+    config::OpenAIConfig,
+    types::{ChatCompletionRequestMessage, CreateChatCompletionRequestArgs},
+    Client,
+};
+use futures::StreamExt;
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let config = OpenAIConfig::new()
+        .with_api_key("choose-any-value")
+        .with_api_base("https://qwen.ai.unturf.com/v1");
+
+    let client = Client::with_config(config);
+
+    let request = CreateChatCompletionRequestArgs::default()
+        .model("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M")
+        .messages(vec![ChatCompletionRequestMessage::User(
+            "Give a Python Fizzbuzz solution in one line of code?".into()
+        )])
+        .temperature(0.5)
+        .max_tokens(150u32)
+        .build()?;
+
+    let mut stream = client.chat().create_stream(request).await?;
+
+    while let Some(result) = stream.next().await {
+        match result {
+            Ok(response) => {
+                for choice in response.choices {
+                    if let Some(content) = &choice.delta.content {
+                        print!("{}", content);
+                    }
+                }
+            }
+            Err(err) => eprintln!("Error: {}", err),
+        }
+    }
+
+    Ok(())
+}
+
    + +

    Text-to-Speech Example

    +

    Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

    + + 
    use async_openai::{
+    config::OpenAIConfig,
+    types::{CreateSpeechRequestArgs, SpeechModel, Voice},
+    Client,
+};
+use std::fs::File;
+use std::io::Write;
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let config = OpenAIConfig::new()
+        .with_api_key("YOLO")
+        .with_api_base("https://speech.ai.unturf.com/v1");
+
+    let client = Client::with_config(config);
+
+    let request = CreateSpeechRequestArgs::default()
+        .model(SpeechModel::Tts1)
+        .voice(Voice::Alloy)
+        .input("I think so therefore, Today is a wonderful day to build something people love!")
+        .speed(0.9)
+        .build()?;
+
+    let response = client.audio().speech(request).await?;
+
+    let mut file = File::create("speech.mp3")?;
+    file.write_all(&response.bytes)?;
+
+    Ok(())
+}
+
    + + + + + + +
    + + + + + + diff --git a/swift-examples.html b/swift-examples.html new file mode 100644 index 0000000..9c2bc1a --- /dev/null +++ b/swift-examples.html @@ -0,0 +1,309 @@ + + + + + + + + + Swift Examples | uncloseai.com + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    +
    +

    uncloseai.

     +

    Swift Examples - Free LLM & TTS AI Service

    +
    + +
    + +

    Swift Examples

    +

    This page demonstrates how to use the uncloseai. API endpoints with Swift using the SwiftOpenAI community library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.

    + +

    Available Endpoints:

    + + +

    Swift Client Installation

    +

    Add SwiftOpenAI to your Package.swift dependencies:

    + 
    dependencies: [
+    .package(url: "https://github.com/jamesrochabrun/SwiftOpenAI", from: "3.8.5")
+]
    + +

    Non-Streaming Examples

    +

    Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.

    + +

    Using Hermes (General Purpose)

    + 
    import SwiftOpenAI
+
+let service = OpenAIServiceFactory.service(
+    apiKey: "choose-any-value",
+    baseURL: "https://hermes.ai.unturf.com/v1"
+)
+
+let parameters = ChatCompletionParameters(
+    messages: [.init(role: .user, content: .text("Give a Python Fizzbuzz solution in one line of code?"))],
+    model: .custom("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic"),
+    temperature: 0.5,
+    maxTokens: 150
+)
+
+do {
+    let completion = try await service.startChat(parameters: parameters)
+    if let content = completion.choices.first?.message.content {
+        print(content)
+    }
+} catch {
+    print("Error: \(error)")
+}
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    import SwiftOpenAI
+
+let service = OpenAIServiceFactory.service(
+    apiKey: "choose-any-value",
+    baseURL: "https://qwen.ai.unturf.com/v1"
+)
+
+let parameters = ChatCompletionParameters(
+    messages: [.init(role: .user, content: .text("Give a Python Fizzbuzz solution in one line of code?"))],
+    model: .custom("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M"),
+    temperature: 0.5,
+    maxTokens: 150
+)
+
+do {
+    let completion = try await service.startChat(parameters: parameters)
+    if let content = completion.choices.first?.message.content {
+        print(content)
+    }
+} catch {
+    print("Error: \(error)")
+}
+
    + +

    Streaming Examples

    +

    Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.

    + +

    Using Hermes (General Purpose)

    + 
    import SwiftOpenAI
+
+let service = OpenAIServiceFactory.service(
+    apiKey: "choose-any-value",
+    baseURL: "https://hermes.ai.unturf.com/v1"
+)
+
+let parameters = ChatCompletionParameters(
+    messages: [.init(role: .user, content: .text("Give a Python Fizzbuzz solution in one line of code?"))],
+    model: .custom("adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic"),
+    temperature: 0.5,
+    maxTokens: 150
+)
+
+do {
+    let stream = try await service.startStreamedChat(parameters: parameters)
+    for try await chunk in stream {
+        if let content = chunk.choices.first?.delta.content {
+            print(content, terminator: "")
+        }
+    }
+} catch {
+    print("Error: \(error)")
+}
+
    + +

    Using Qwen 3 Coder (Specialized for Coding)

    + 
    import SwiftOpenAI
+
+let service = OpenAIServiceFactory.service(
+    apiKey: "choose-any-value",
+    baseURL: "https://qwen.ai.unturf.com/v1"
+)
+
+let parameters = ChatCompletionParameters(
+    messages: [.init(role: .user, content: .text("Give a Python Fizzbuzz solution in one line of code?"))],
+    model: .custom("hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M"),
+    temperature: 0.5,
+    maxTokens: 150
+)
+
+do {
+    let stream = try await service.startStreamedChat(parameters: parameters)
+    for try await chunk in stream {
+        if let content = chunk.choices.first?.delta.content {
+            print(content, terminator: "")
+        }
+    }
+} catch {
+    print("Error: \(error)")
+}
+
    + +

    Text-to-Speech Example

    +

    Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.

    + + 
    import SwiftOpenAI
+import Foundation
+
+let service = OpenAIServiceFactory.service(
+    apiKey: "YOLO",
+    baseURL: "https://speech.ai.unturf.com/v1"
+)
+
+let parameters = AudioSpeechParameters(
+    model: .tts1,
+    input: "I think so therefore, Today is a wonderful day to build something people love!",
+    voice: .alloy,
+    speed: 0.9
+)
+
+do {
+    let audioData = try await service.createSpeech(parameters: parameters)
+    let fileURL = FileManager.default.temporaryDirectory.appendingPathComponent("speech.mp3")
+    try audioData.write(to: fileURL)
+    print("Audio saved to: \(fileURL)")
+} catch {
+    print("Error: \(error)")
+}
+
    + + + + + + +
    + + + + + + diff --git a/uncloseai-js.html b/uncloseai-js.html index 11030f0..ebc3208 100644 --- a/uncloseai-js.html +++ b/uncloseai-js.html @@ -53,6 +53,8 @@
  • Node.js Examples
  • uncloseai.js Docs
  • Inference Setup
    • +
  • 🔗 All Languages
    • +
  • 📚 Book