* .NET: Delete AgentResponse.{Try}Deserialize<T> methods (#3518)
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* .NET: Add decorator for structured output support (#3694)
* add decorator that adds structured output support to agents that don't natively support it.
* Update dotnet/src/Microsoft.Agents.AI/StructuredOutput/StructuredOutputAgentResponse.cs
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* .NET: Disable irrelevant integration test (#3913)
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Structured Output with ChatClientAgent
This sample demonstrates how to configure ChatClientAgent to produce structured output in JSON format using various approaches.
What this sample demonstrates
- ResponseFormat approach: Configuring agents with JSON schema response format via
ChatResponseFormat.ForJsonSchema<T>()for inter-agent communication or when the type is not known at compile time - Generic RunAsync method: Using the generic
RunAsync<T>method for structured output when the caller needs to work directly with typed objects - Structured output with Streaming: Using
RunStreamingAsyncto stream responses while still obtaining structured output by assembling and deserializing the streamed content - StructuredOutput middleware: Adding structured output support to agents that don't natively support it (like A2A agents or models without structured output capability) by transforming text output into structured data using a chat client
Prerequisites
Before you begin, ensure you have the following prerequisites:
- .NET 10 SDK or later
- Azure OpenAI service endpoint and deployment configured
- Azure CLI installed and authenticated (for Azure credential authentication)
- User has the
Cognitive Services OpenAI Contributorrole for the Azure OpenAI resource
Note: This sample uses Azure OpenAI models. For more information, see how to deploy Azure OpenAI models with Azure AI Foundry.
Note: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with az login and have access to the Azure OpenAI resource and have the Cognitive Services OpenAI Contributor role. For more information, see the Azure CLI documentation.
Environment Variables
Set the following environment variables:
$env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
Run the sample
Navigate to the sample directory and run:
cd dotnet/samples/GettingStarted/Agents/Agent_Step05_StructuredOutput
dotnet run
Expected behavior
The sample will demonstrate four different approaches to structured output:
- Structured Output with ResponseFormat: Creates an agent with
ResponseFormatset toForJsonSchema<CityInfo>(), invokes it with unstructured input, and accesses the structured output via theTextproperty - Structured Output with RunAsync: Creates an agent and uses the generic
RunAsync<CityInfo>()method to get a typedAgentResponse<CityInfo>with the result accessible via theResultproperty - Structured Output with RunStreamingAsync: Creates an agent with JSON schema response format, streams the response using
RunStreamingAsync, assembles the updates usingToAgentResponseAsync(), and deserializes the JSON text into a typed object - Structured Output with StructuredOutput Middleware: Uses the
UseStructuredOutputmethod onAIAgentBuilderto add structured output support to agents that don't natively support it
Each approach will output information about the capital of France (Paris) in a structured format.