tryAGI/Anthropic
tryAGI/Anthropic has 44 GitHub stars and 6 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-15 00:35 UTC. Last push 2026-11-13.
What you can do
- Fully generated C# SDK based on official OpenAPI specification using AutoSDK
- Automatic releases of new preview versions if there was an update to the OpenAPI specification
- Source generator to define tools natively through C# interfaces
- All modern .NET features - nullability, trimming, NativeAOT, etc.
Measured star growth
- in 24h
- 0
- in 7 days
- Collecting history
- in 15 days
- Collecting history
- in 1 month
- Collecting history
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
About
C# SDK for the Anthropic API -- Claude chat completions, tool calling, and vision
AIREADME.md
OriginalAnthropic
Disclaimer: This package is not affiliated with, endorsed by, or sponsored by Anthropic. Anthropic and Claude are trademarks of Anthropic, PBC.
Features 🔥
- Fully generated C# SDK based on official OpenAPI specification using AutoSDK
- Automatic releases of new preview versions if there was an update to the OpenAPI specification
- Source generator to define tools natively through C# interfaces
- All modern .NET features - nullability, trimming, NativeAOT, etc.
- Support .Net Framework/.Net Standard 2.0
- Supporting Microsoft.Extensions.AI
- Supports all endpoints of the API, including batch requests, count tokens, and prompt caching.
Usage
using Anthropic;
using var client = new AnthropicClient(apiKey);
var messageParams = new CreateMessageParams()
{
Model = new Model(ModelVariant6.Claude35SonnetLatest),
Messages = [
new InputMessage(InputMessageRole.User, "What's the weather like today?"),
new InputMessage(InputMessageRole.Assistant, "Sure! Could you please provide me with your location?"),
new InputMessage(InputMessageRole.User, "Dubai, UAE")
],
MaxTokens = 250
};
var response = await client.Messages.MessagesPostAsync(messageParams);
Tools
using CSharpToJsonSchema;
public enum Unit
{
Celsius,
Fahrenheit,
}
public class Weather
{
public string Location { get; set; } = string.Empty;
public double Temperature { get; set; }
public Unit Unit { get; set; }
public string Description { get; set; } = string.Empty;
}
[GenerateJsonSchema]
public interface IWeatherFunctions
{
[Description("Get the current weather in a given location")]
public Weather GetCurrentWeather(
[Description("The city and state, e.g. San Francisco, CA")] string location,
Unit unit = Unit.Celsius);
[Description("Get the current weather in a given location")]
public Task<Weather> GetCurrentWeatherAsync(
[Description("The city and state, e.g. San Francisco, CA")] string location,
Unit unit = Unit.Celsius,
CancellationToken cancellationToken = default);
}
public class WeatherService : IWeatherFunctions
{
public Weather GetCurrentWeather(string location, Unit unit = Unit.Celsius)
{
return new Weather
{
Location = location,
Temperature = 22.0,
Unit = unit,
Description = "Sunny",
};
}
public Task<Weather> GetCurrentWeatherAsync(string location, Unit unit = Unit.Celsius, CancellationToken cancellationToken = default)
{
return Task.FromResult(new Weather
{
Location = location,
Temperature = 22.0,
Unit = unit,
Description = "Sunny",
});
}
}
using Anthropic;
using var client = new AnthropicClient(apiKey);
var service = new WeatherService();
var tools = service.AsTools();
var messageParams = new CreateMessageParams()
{
Model = new Model(ModelVariant6.Claude35SonnetLatest),
Messages = [new InputMessage(InputMessageRole.User, "What is the current temperature in Dubai, UAE in Celsius?")],
MaxTokens = 4096,
System = "You are a helpful weather assistant.",
ToolChoice = new ToolChoice(new ToolChoiceAuto()),
Tools = tools
};
var response = await client.Messages.MessagesPostAsync(messageParams);
messageParams.Messages.Add(response.AsInputMessage());
foreach (var toolUse in response.Content.Value2!
.Where(x => x.IsToolUse)
.Select(x => x.ToolUse))
{
var json = await service.CallAsync(
functionName: toolUse!.Name,
argumentsAsJson: toolUse.Input.AsJson());
messageParams.Messages.Add(json.AsToolCall(toolUse));
}
response = await client.Messages.MessagesPostAsync(messageParams);
Microsoft.Extensions.AI
The SDK implements IChatClient for seamless integration with the .NET AI ecosystem:
using Anthropic;
using Microsoft.Extensions.AI;
IChatClient chatClient = new AnthropicClient(apiKey);
var response = await chatClient.GetResponseAsync(
[new ChatMessage(ChatRole.User, "Hello!")],
new ChatOptions { ModelId = "claude-sonnet-4-20250514" });
Console.WriteLine(response.Text);
API version 2026-10-21
This SDK sends anthropic-version: 2026-10-21. Message inputs use
InputMessageUnion with UserInputMessage, AssistantInputMessage, or
SystemInputMessage; string message helpers return that union. The MEAI adapter
rejects removed Temperature, TopP, and TopK options and document blocks in
assistant messages before sending a request. See the official
migration guide
for the API's breaking changes.
Chat Client Five Random Lines
using var client = GetAuthenticatedChatClient();
var response = await client.GetResponseAsync(
messages: [new ChatMessage(ChatRole.User, "Generate 5 random words.")],
new ChatOptions
{
ModelId = DefaultModel,
ResponseFormat = ChatResponseFormatForType<StringArraySchema>(),
Tools = new List<AITool>(),
});
Console.WriteLine(response.ToString());
Chat Client Five Random Words Streaming
using var client = GetAuthenticatedChatClient();
var enumerable = client.GetStreamingResponseAsync(
messages: [new ChatMessage(ChatRole.User, "Generate 5 random words.")],
new ChatOptions
{
ModelId = DefaultModel,
});
var deltas = new List<string>();
await foreach (var response in enumerable)
{
Console.Write(response.ToString());
deltas.Add(response.ToString());
}
Chat Client Five Random Words
using var client = GetAuthenticatedChatClient();
var response = await client.GetResponseAsync(
messages: [new ChatMessage(ChatRole.User, "Generate 5 random words.")],
new ChatOptions
{
ModelId = DefaultModel,
});
Console.WriteLine(response.ToString());
Complete History
using var client = new AnthropicClient(apiKey);
var response = await client.MessagesPostAsync(
model: DefaultModel,
messages: [
"What's the weather like today?",
"Sure! Could you please provide me with your location?".AsAssistantMessage(),
"Dubai, UAE",
],
maxTokens: 300,
temperature: 0);
Console.WriteLine(response.AsSimpleText());
Five Random Words
using var client = new AnthropicClient(apiKey);
var response = await client.MessagesPostAsync(
model: DefaultModel,
messages: ["Generate 5 random words."],
maxTokens: 300,
temperature: 0);
Console.WriteLine(response.AsSimpleText());
Streaming
using var client = new AnthropicClient(apiKey);
var enumerable = client.CreateMessageAsStreamAsync(new CreateMessageParams
{
Model = DefaultModel,
Messages = ["Once upon a time"],
MaxTokens = 250,
});
var deltas = new List<string>();
await foreach (var response in enumerable)
{
Console.Write(response.ContentBlockDelta?.Delta.TextDelta?.Text);
deltas.Add(response.ContentBlockDelta?.Delta.TextDelta?.Text ?? string.Empty);
}
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/Anthropic/issues
Priority place for ideas and general questions: https://github.com/tryAGI/Anthropic/discussions
Discord: https://discord.gg/Ca2xhfBf3v
Acknowledgments

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