随着人工智能服务的快速发展，几乎每天都有新的服务推出。这导致很多时候只能通过REST API端点来访问服务，而没有现成的库可以使用。因此，开发自定义库来消费API端点变得非常必要。本文将介绍如何使用一个名为HigLabo.Anthropic的库来调用Claude AI服务。
为了帮助那些计划开发Claude API的开发者，创建了一个库，并在这里分享。可以通过Nuget下载这个库。所有源代码都可以在GitHub上找到。
可以通过以下链接下载HigLabo.Anthropic库：
https://github.com/higty/higlabo/tree/master/Net8
以下是如何使用这个库来消费Claude AI服务的示例代码。
可以使用以下C#代码来接收消息流：
var cl = new AnthropicClient("API KEY");
var result = new MessagesStreamResult();
await foreach (string text in cl.MessagesStreamAsync("How to enjoy coffee?", ModelNames.Claude3Opus, result, CancellationToken.None))
{
Console.Write(text);
}
if (result.MessageDelta != null)
{
Console.WriteLine("StopReason: " + result.MessageDelta.Delta.Stop_Reason);
Console.WriteLine("Usage: " + result.MessageDelta.Usage.Output_Tokens);
}
可以通过MessagesParameter类来传递所有API参数。
var cl = new AnthropicClient("API KEY");
var p = new MessagesParameter();
p.AddUserMessage("How to enjoy coffee?");
p.Model = ModelNames.Claude3Opus;
p.Max_Tokens = 1024;
// 设置其他属性...
var result = new MessagesStreamResult();
await foreach (var item in cl.MessagesStreamAsync(p, result, CancellationToken.None))
{
Console.Write(item);
}
if (result.MessageDelta != null)
{
Console.WriteLine("StopReason: " + result.MessageDelta.Delta.Stop_Reason);
Console.WriteLine("Usage: " + result.MessageDelta.Usage.Output_Tokens);
}
以下是如何调用函数的示例代码：
var cl = new AnthropicClient("API KEY");
var tools = new AnthropicTools();
var tool = new AnthropicTool("GetTickerSymbol", "Gets the stock ticker symbol for a company searched by name. Returns str: The ticker symbol for the company stock. Raises TickerNotFound: if no matching ticker symbol is found.");
tool.Parameters.Add(new AnthropicToolParameter("company_name", "string", "The name of company"));
tools.Add(tool);
var toolXml = tool.ToString();
var p = new MessagesParameter();
p.Messages.Add(new ChatMessage(ChatMessageRole.User, $"What is the current stock price of Microsoft?"));
p.SetTools(tools);
p.Model = ModelNames.Claude3Opus;
p.Max_Tokens = 1024;
p.Stream = true;
var result = new MessagesStreamResult();
await foreach (var item in cl.MessagesStreamAsync(p, result, CancellationToken.None))
{
Console.Write(item);
}
var calls = AnthropicFunctionCalls.Parse(result.GetText());
if (calls.InvokeList.Count > 0)
{
Console.WriteLine();
Console.WriteLine("■Function call list");
Console.WriteLine(calls.ToString());
var invoke = calls.InvokeList.Find(el => el.ToolName == "GetTickerSymbol");
if (invoke != null)
{
var companyName = invoke.GetParameterValue("company_name") ?? "";
var tickerSymbol = GetTickerSymbol(companyName);
}
}
以下是如何发送图片并获取解释的示例代码：
var p = new MessagesParameter();
p.Model = "claude-3-opus-20240229";
p.Max_Tokens = 1024;
var msg = new ChatImageMessage(ChatMessageRole.User);
msg.AddTextContent($"What is this image include?");
msg.AddImageFile(Path.Combine(Environment.CurrentDirectory, "Image", "Rock.jpg"));
p.Messages.Add(msg);
p.Stream = true;
var result = new MessagesStreamResult();
await foreach (var item in cl.MessagesStreamAsync(p, result, CancellationToken.None))
{
Console.Write(item);
}
所有类设计架构都与HigLabo.OpenAI相同。可以使用与HigLabo.OpenAI相同的方式使用HigLabo.Anthropic。HigLabo.Anthropic包括以下类：