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semantic-kernel/python/samples/demos
Dmytro Struk 18d9a8e8b2 Python: .Net: Updated encoding logic in prompt templates (#12983)
### Motivation and Context

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Resolves: https://github.com/microsoft/semantic-kernel/issues/11821

Today, the encoding of template arguments is performed only if argument
type is `string`. In case of custom type, anonymous type or collection -
the encoding is not performed.

This PR contains changes to throw an exception in case if encoding is
enabled but complex type is used. In case of complex type, the encoding
should be performed manually according to business logic and automatic
encoding should be explicitly disabled.

This enforces stricter, but more secure template rendering rules.

**Note**: this is a breaking change for customers who use Handlebars or
Liquid template with complex type arguments. Code changes are required
when initializing template arguments:
```diff
var arguments = new KernelArguments()
{
    { "customer", new
        {
-             firstName = userInput.FirstName,
-             lastName = userInput.LastName,
+             firstName = HttpUtility.HtmlEncode(userInput.FirstName),
+             lastName = HttpUtility.HtmlEncode(userInput.LastName),
        }
    }
};

var templateFactory = new LiquidPromptTemplateFactory();
var promptTemplateConfig = new PromptTemplateConfig()
{
    TemplateFormat = "liquid"
+   InputVariables = new()
+   {
+       // We set AllowDangerouslySetContent to 'true' because each property of this argument is encoded manually. 
+       new() { Name = "customer", AllowDangerouslySetContent = true },
+   }
};

var promptTemplate = templateFactory.Create(promptTemplateConfig);
var renderedPrompt = await promptTemplate.RenderAsync(kernel, arguments); 
```

### Contribution Checklist

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- [x] The code builds clean without any errors or warnings
- [x] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
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raises no violations
- [x] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
2025-08-26 22:09:00 -07:00
..

Semantic Kernel Demo Applications

Demonstration applications that leverage the usage of one or many SK features

Type Description
assistants_group_chat A sample Agent demo that shows a chat functionality with an OpenAI Assistant agent.
booking_restaurant A sample chat bot that leverages the Microsoft Graph and Bookings API as a Semantic Kernel plugin to make a fake booking at a restaurant.
copilot_studio_agent A sample that shows how to invoke Microsoft Copilot Studio agents as first-party Agent in Semantic Kernel
copilot_studio_skill A sample demonstrating how to extend Microsoft Copilot Studio to invoke Semantic Kernel agents
guided_conversations A sample showing a framework for a pattern of use cases referred to as guided conversations.
processes_with_dapr A sample showing the Semantic Kernel process framework used with the Python Dapr runtime.
telemetry_with_application_insights A sample project that shows how a Python application can be configured to send Semantic Kernel telemetry to Application Insights.