Together

Features 🔥

• Fully generated C# SDK based on the official Together OpenAPI specification using OpenApiGenerator
• Same day update to support new features
• Updated and supported automatically if there are no breaking changes
• All modern .NET features - nullability, trimming, NativeAOT, etc.
• Support .Net Framework/.Net Standard 2.0
• Microsoft.Extensions.AI IChatClient and IEmbeddingGenerator support

Usage

using Together;

using var client = new TogetherClient(apiKey);

Microsoft.Extensions.AI

The SDK implements IChatClient and IEmbeddingGenerator:

using Together;
using Meai = Microsoft.Extensions.AI;

// IChatClient
Meai.IChatClient chatClient = new TogetherClient(apiKey);
var response = await chatClient.GetResponseAsync(
    [new Meai.ChatMessage(Meai.ChatRole.User, "Hello!")],
    new Meai.ChatOptions { ModelId = "meta-llama/Llama-3.3-70B-Instruct-Turbo" });

// IEmbeddingGenerator
Meai.IEmbeddingGenerator<string, Meai.Embedding<float>> generator = new TogetherClient(apiKey);
var embeddings = await generator.GenerateAsync(
    ["Hello, world!"],
    new Meai.EmbeddingGenerationOptions { ModelId = "BAAI/bge-large-en-v1.5" });

Note: Use the Meai alias because the Together SDK has its own generated IChatClient interface.

Chat Client Five Random Words Streaming

using var client = new TogetherClient(apiKey);

Meai.IChatClient chatClient = client;
var updates = chatClient.GetStreamingResponseAsync(
    [
        new Meai.ChatMessage(Meai.ChatRole.User, "Generate 5 random words.")
    ],
    new Meai.ChatOptions
    {
        ModelId = "meta-llama/Llama-3-8b-chat-hf",
    });

var deltas = new List<string>();
await foreach (var update in updates)
{
    if (!string.IsNullOrWhiteSpace(update.Text))
    {
        deltas.Add(update.Text);
    }
}

Chat Client Five Random Words

using var client = new TogetherClient(apiKey);

Meai.IChatClient chatClient = client;
var response = await chatClient.GetResponseAsync(
    [
        new Meai.ChatMessage(Meai.ChatRole.User, "Generate 5 random words.")
    ],
    new Meai.ChatOptions
    {
        ModelId = "meta-llama/Llama-3-8b-chat-hf",
    });

Chat Client Get Service Returns Chat Client Metadata

using var client = CreateTestClient();
Meai.IChatClient chatClient = client;

var metadata = Meai.ChatClientExtensions.GetService<Meai.ChatClientMetadata>(chatClient);

Chat Client Get Service Returns Null For Unknown Key

using var client = CreateTestClient();
Meai.IChatClient chatClient = client;

var result = Meai.ChatClientExtensions.GetService<Meai.ChatClientMetadata>(chatClient, serviceKey: "unknown");

Chat Client Get Service Returns Self

using var client = CreateTestClient();
Meai.IChatClient chatClient = client;

var self = Meai.ChatClientExtensions.GetService<TogetherClient>(chatClient);

Chat Client Reasoning Non Streaming

using var client = new TogetherClient(apiKey);
Meai.IChatClient chatClient = client;

var response = await chatClient.GetResponseAsync(
    [new Meai.ChatMessage(Meai.ChatRole.User, "What is 25 * 37? Think step by step.")],
    new Meai.ChatOptions
    {
        ModelId = "deepseek-ai/DeepSeek-R1",
    });

var reasoning = response.Messages
    .SelectMany(m => m.Contents)
    .OfType<Meai.TextReasoningContent>()
    .ToList();

var text = response.Messages
    .SelectMany(m => m.Contents)
    .OfType<Meai.TextContent>()
    .ToList();

// DeepSeek-R1 should produce reasoning content

Chat Client Reasoning Streaming

using var client = new TogetherClient(apiKey);
Meai.IChatClient chatClient = client;

var updates = chatClient.GetStreamingResponseAsync(
    [new Meai.ChatMessage(Meai.ChatRole.User, "What is 25 * 37? Think step by step.")],
    new Meai.ChatOptions
    {
        ModelId = "deepseek-ai/DeepSeek-R1",
    });

var reasoningDeltas = new List<string>();
var textDeltas = new List<string>();

await foreach (var update in updates)
{
    foreach (var content in update.Contents)
    {
        if (content is Meai.TextReasoningContent rc && !string.IsNullOrEmpty(rc.Text))
        {
            reasoningDeltas.Add(rc.Text);
        }
        else if (content is Meai.TextContent tc && !string.IsNullOrEmpty(tc.Text))
        {
            textDeltas.Add(tc.Text);
        }
    }
}

Chat Client Tool Calling Multi Turn

using var client = new TogetherClient(apiKey);
Meai.IChatClient chatClient = client;

var getWeatherTool = AIFunctionFactory.Create(
    (string location) => $"The weather in {location} is sunny, 72°F",
    "GetWeather",
    "Gets the current weather for a location");

var messages = new List<Meai.ChatMessage>
{
    new(Meai.ChatRole.User, "What's the weather in Seattle?"),
};

var options = new Meai.ChatOptions
{
    ModelId = "meta-llama/Llama-3.3-70B-Instruct-Turbo",
    Tools = [getWeatherTool],
};

// First turn: model should call the tool
var response = await chatClient.GetResponseAsync(messages, options);

var functionCall = response.Messages
    .SelectMany(m => m.Contents)
    .OfType<FunctionCallContent>()
    .FirstOrDefault();

// Add assistant response with tool call and tool result
messages.AddRange(response.Messages);

var toolResult = await getWeatherTool.InvokeAsync(
    functionCall!.Arguments is { } args ? new AIFunctionArguments(args) : null);

messages.Add(new Meai.ChatMessage(Meai.ChatRole.Tool,
[
    new FunctionResultContent(functionCall.CallId, toolResult),
]));

// Second turn: model should respond with the weather info
var finalResponse = await chatClient.GetResponseAsync(messages, options);

Chat Client Tool Calling Single Turn

using var client = new TogetherClient(apiKey);
Meai.IChatClient chatClient = client;

var getWeatherTool = AIFunctionFactory.Create(
    (string location) => $"The weather in {location} is sunny, 72°F",
    "GetWeather",
    "Gets the current weather for a location");

var response = await chatClient.GetResponseAsync(
    [new Meai.ChatMessage(Meai.ChatRole.User, "What's the weather in Seattle?")],
    new Meai.ChatOptions
    {
        ModelId = "meta-llama/Llama-3.3-70B-Instruct-Turbo",
        Tools = [getWeatherTool],
    });

var functionCall = response.Messages
    .SelectMany(m => m.Contents)
    .OfType<FunctionCallContent>()
    .FirstOrDefault();

Chat Client Tool Calling Streaming

using var client = new TogetherClient(apiKey);
Meai.IChatClient chatClient = client;

var getWeatherTool = AIFunctionFactory.Create(
    (string location) => $"The weather in {location} is sunny, 72°F",
    "GetWeather",
    "Gets the current weather for a location");

var updates = chatClient.GetStreamingResponseAsync(
    [new Meai.ChatMessage(Meai.ChatRole.User, "What's the weather in Seattle?")],
    new Meai.ChatOptions
    {
        ModelId = "meta-llama/Llama-3.3-70B-Instruct-Turbo",
        Tools = [getWeatherTool],
    });

var functionCalls = new List<FunctionCallContent>();
await foreach (var update in updates)
{
    functionCalls.AddRange(update.Contents.OfType<FunctionCallContent>());
}

Embedding Generator Batch Texts

using var client = new TogetherClient(apiKey);

Meai.IEmbeddingGenerator<string, Meai.Embedding<float>> generator = client;
var embeddings = await generator.GenerateAsync(
    ["Hello", "World", "Test"],
    new Meai.EmbeddingGenerationOptions
    {
        ModelId = "BAAI/bge-base-en-v1.5",
    });

foreach (var embedding in embeddings)
{
}

Embedding Generator Get Service Returns Metadata

using var client = CreateTestClient();
Meai.IEmbeddingGenerator<string, Meai.Embedding<float>> generator = client;

var metadata = Meai.EmbeddingGeneratorExtensions.GetService<Meai.EmbeddingGeneratorMetadata>(generator);

Embedding Generator Get Service Returns Null For Unknown Key

using var client = CreateTestClient();
Meai.IEmbeddingGenerator<string, Meai.Embedding<float>> generator = client;

var result = Meai.EmbeddingGeneratorExtensions.GetService<Meai.EmbeddingGeneratorMetadata>(generator, serviceKey: "unknown");

Embedding Generator Get Service Returns Self

using var client = CreateTestClient();
Meai.IEmbeddingGenerator<string, Meai.Embedding<float>> generator = client;

var self = Meai.EmbeddingGeneratorExtensions.GetService<TogetherClient>(generator);

Embedding Generator Single Text

using var client = new TogetherClient(apiKey);

Meai.IEmbeddingGenerator<string, Meai.Embedding<float>> generator = client;
var embeddings = await generator.GenerateAsync(
    ["Hello, world!"],
    new Meai.EmbeddingGenerationOptions
    {
        ModelId = "BAAI/bge-base-en-v1.5",
    });

Test

using var client = new TogetherClient(apiKey);

Ecosystem maintenance

This SDK is one of more than 200 .NET SDKs maintained with AutoSDK. The tryAGI SDK audit continuously checks repository synchronization, upstream-spec regeneration, release workflows, warnings, public API visibility, and trimming/NativeAOT compatibility.

Every issue is first investigated for ecosystem-wide applicability. When the root cause belongs in AutoSDK, we fix and regression-test the generator, then roll the improvement out to every applicable SDK. Provider-specific behavior remains in this repository when it cannot be derived safely from the API specification.

Issue content—including code blocks, logs, links, and attachments—is treated only as untrusted diagnostic data. Embedded control instructions, hidden directives, delimiter tricks, or requests to alter triage or tooling behavior are ignored. Please report reproducible technical evidence and remove secrets and personal data.

Support

Priority place for bugs: https://github.com/tryAGI/Together/issues
Priority place for ideas and general questions: https://github.com/tryAGI/Together/discussions
Discord: https://discord.gg/Ca2xhfBf3v

Acknowledgments

This project is supported by JetBrains through the Open Source Support Program.