Create AI Agents in C#

				
					using LMKit;
using LMKit.TextGeneration;
using LMKit.Agents.Tools;

var model = new LMKit.Model.LM("models/your-model.gguf");
var agent = new MultiTurnConversation(model)
{
    SystemPrompt = "You are an operations agent. When possible, return JSON with fields: action, data, and notes."
};

// Wrap LM-Kit high-level capabilities as tools
public static class DocSkills
{
    [LMFunction("classify_document", "Classify a document into predefined categories")]
    public static string Classify(string text)
    {
        // Example: call LM-Kit classification capability
        return "Invoice";
    }

    [LMFunction("extract_invoice", "Extract key fields from an invoice")]
    public static object ExtractInvoice(string filePath)
    {
        // Example: call LM-Kit data extraction capability
        return new { number = "INV-2025-001", total = 1234.56, supplier = "Acme Corp" };
    }

    [LMFunction("redact_pii", "Detect and redact PII from text")]
    public static string RedactPii(string input)
    {
        // Example: call LM-Kit PII extraction and redaction
        return input;
    }
}

// Register the tools
agent.Tools.Register(LMFunctionToolBinder.FromType<DocSkills>());

// Submit a task. The agent will plan, call tools, and return a structured answer.
var user = "Read this invoice at C:\\docs\\invoice.pdf, extract fields, redact PII in the notes, and summarize next steps.";
var result = agent.Submit(user);
Console.WriteLine(result.Completion);