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Example Use Cases with AI Agent Tools

25 May 20267 minutes to read

Automated PDF Redaction Agent

Overview

This example demonstrates an Automated PDF Redaction Agent that uses the Microsoft Agent Framework, OpenAI, and Syncfusion PDF Tools to automatically detect and permanently redact sensitive information from PDF documents. The agent accepts a natural language request, identifies all sensitive data, and outputs a clean redacted PDF - with no manual intervention required. This sample runs using In-Memory Mode.

Prerequisites

Requirement Details
.NET SDK .NET 8.0, 9.0, or 10.0
AI Provider API Key Required to authenticate requests to the AI provider. This page uses OpenAI.
NuGet Packages Syncfusion.DocumentSDK.AI.AgentTools, Microsoft.Agents.AI.OpenAI

How it works

At runtime the application performs the following steps:

  1. Load PDF: The agent loads the specified PDF document into memory.
  2. Extract text: All text content is extracted from the PDF.
  3. Detect sensitive data: The AI identifies and categorizes sensitive information such as personal information, financial data, and other identifiers.
  4. Locate and redact: All identified items are located using bounding box coordinates and permanently redacted with black boxes.
  5. Export: The redacted PDF is saved to the output folder with a _redacted.pdf suffix. The original file remains unchanged.

Syncfusion setup

The snippet below shows only the Syncfusion-specific configuration. You can find the complete code snippet here.

using Syncfusion.AI.AgentTools.Core;
using Syncfusion.AI.AgentTools.PDF;
using Microsoft.Extensions.AI;
using Microsoft.Agents.AI;
using OpenAI;
using AITool = Syncfusion.AI.AgentTools.Core.AITool;

// Register Syncfusion license
Syncfusion.Licensing.SyncfusionLicenseProvider.RegisterLicense(
    Environment.GetEnvironmentVariable("SYNCFUSION_LICENSE_KEY")!);

// Set up PDF Document Manager and tools
var pdfManager = new PdfDocumentManager(TimeSpan.FromMinutes(5));
var outputDir  = Path.GetFullPath(Environment.CurrentDirectory + @"..\..\..\..\Data\Output\");

var allTools = new List<AITool>();
allTools.AddRange(new PdfDocumentAgentTools(pdfManager, outputDir).GetTools());
allTools.AddRange(new PdfContentExtractionAgentTools(pdfManager).GetTools());
allTools.AddRange(new PdfSecurityAgentTools(pdfManager).GetTools());

// Convert to Microsoft.Extensions.AI functions
var aiTools = allTools
    .Select(t => AIFunctionFactory.Create(t.Method, t.Instance,
        new AIFunctionFactoryOptions { Name = t.Name, Description = t.Description }))
    .Cast<Microsoft.Extensions.AI.AITool>()
    .ToList();

// Build the agent
AIAgent agent = new OpenAIClient(Environment.GetEnvironmentVariable("OPENAI_API_KEY")!)
    .GetChatClient(Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "gpt-4o")
    .AsIChatClient()
    .AsAIAgent(instructions: BuildSystemMessage(inputDir, outputDir), tools: aiTools);

Example Prompts

Once the agent is running, use natural language prompt to trigger redaction:

“Load ‘case_filing.pdf’ from the input folder and redact all sensitive information including names, addresses, and ID numbers. Save the result as ‘case_filing_redacted.pdf’.”

Complete Example

You can download a complete working sample from GitHub.

Blog Generator Agent

Overview

This example demonstrates a Blog Generator that uses the Microsoft Agent Framework, OpenAI (text and image generation), and Syncfusion Word Agent Tools to convert a single user-provided topic into a fully formatted blog ebook. The agent generates a title and structured outline, creates detailed content with relevant images, and outputs the final result in HTML and Word (.docx) formats. This sample runs using In-Memory Mode.

Prerequisites

Requirement Details
.NET SDK .NET 8.0, 9.0, or 10.0
AI Provider API Key Required to authenticate requests to the AI provider. This page uses OpenAI.
OpenAI Models A text model (default gpt-4o) and an image model (default gpt-image-1.5)
NuGet Packages Syncfusion.DocumentSDK.AI.AgentTools, Microsoft.Agents.AI.OpenAI

How it works

At runtime the application performs the following steps:

  1. Ask blog topic. The user enters a topic from the console.
  2. Generate title and outline. The agent drafts a title and 6–10 section outline for user confirmation ([Y/n/r]).
  3. Draft blog content as HTML. For each section the agent generates structured HTML with consistent styling.
  4. Generate images. For sections that need visuals, the gpt-image-1.5 model generates PNG images embedded as Base64.
  5. Convert HTML to Word. The AI agent autonomously chains CreateDocument → ImportHtml → ExportDocument using WordDocumentAgentTools and WordImportExportAgentTools.
  6. Save output. Both the assembled HTML and the converted Word document are saved to the output folder.

Syncfusion setup

The snippet below shows only the Syncfusion-specific configuration. You can find the complete code snippet here.

using Syncfusion.AI.AgentTools.Core;
using Syncfusion.AI.AgentTools.Word;
using Microsoft.Extensions.AI;
using Microsoft.Agents.AI;
using AITool = Syncfusion.AI.AgentTools.Core.AITool;

// Register Syncfusion license
Syncfusion.Licensing.SyncfusionLicenseProvider.RegisterLicense(
    Environment.GetEnvironmentVariable("SYNCFUSION_LICENSE_KEY")!);

// Word Document Manager and tools
var wordManager = new WordDocumentManager(TimeSpan.FromMinutes(10));
var outputDir   = Path.GetFullPath(Environment.CurrentDirectory + @"..\..\..\..\Data\Output\");

var allSyncfusionTools = new List<AITool>();
allSyncfusionTools.AddRange(new WordDocumentAgentTools(wordManager, outputDir).GetTools());
allSyncfusionTools.AddRange(new WordImportExportAgentTools(wordManager).GetTools());

// Convert to Microsoft.Extensions.AI functions
var aiTools = allSyncfusionTools
    .Select(t => AIFunctionFactory.Create(t.Method, t.Instance,
        new AIFunctionFactoryOptions { Name = t.Name, Description = t.Description }))
    .Cast<Microsoft.Extensions.AI.AITool>()
    .ToList();

// Configure AI API key and model
var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY")
          ?? PromptRequired("OpenAI API key");
var textModel = Environment.GetEnvironmentVariable("OPENAI_TEXT_MODEL") ?? "gpt-4o";

// Build the AIAgent (Microsoft Agent Framework)
var openAiClient = new OpenAIClient(new System.ClientModel.ApiKeyCredential(apiKey));
var chatClient   = openAiClient.GetChatClient(textModel);

// Build agent with Word document rules
AIAgent aiAgent = chatClient.AsIChatClient().AsAIAgent(
    instructions: BuildSystemMessage(),
    name: "BlogGenerationAgent",
    tools: aiTools);

Example Prompts

Once the agent is running, enter a topic at the console prompt to start the blog generation workflow:

“Write a blog post about the future of AI in health care.”

The agent will draft a title and outline for your review before generating the full content and images.

Complete Example

You can download a complete working sample from GitHub.

See Also