* Python: .NET Samples - Restructure and Improve Samples (Feature Branch) (#4091) * Moved by agent (#4094) * Fix readme links * .NET Samples - Create `04-hosting` learning path step (#4098) * Agent move * Agent reorderd * Remove A2A section from README Removed A2A section from the Getting Started README. * Agent fixed links * Fix broken sample links in durable-agents README (#4101) * Initial plan * Fix broken internal links in documentation Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * Revert template link changes; keep only durable-agents README fix Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * .NET Samples - Create `03-workflows` learning path step (#4102) * Fix solution project path * Python: Fix broken markdown links to repo resources (outside /docs) (#4105) * Initial plan * Fix broken markdown links to repo resources Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * Update README to rename .NET Workflows Samples section --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * .NET Samples - Create `02-agents` learning path step (#4107) * .NET: Fix broken relative link in GroupChatToolApproval README (#4108) * Initial plan * Fix broken link in GroupChatToolApproval README Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * Update labeler configuration for workflow samples * .NET - Reorder Agents samples to start from Step01 instead of Step04 (#4110) * Fix solution * Resolve new sample paths * Move new AgentSkills and AgentWithMemory_Step04 samples * Fix link * Fix readme path * fix: update stale dotnet/samples/Durable path reference in AGENTS.md Co-authored-by: crickman <66376200+crickman@users.noreply.github.com> * Moved new sample * Update solution * Resolve merge (new sample) * Sync to new sample - FoundryAgents_Step21_BingCustomSearch * Updated README * .NET Samples - Configuration Naming Update (#4149) * .NET: Restore AzureFunctions index parity with ConsoleApps under DurableAgents samples (#4221) * Clean-up `05_host_your_agent` * Config setting consistency * Refine samples * AGENTS.md * Move new samples * Re-order samples * Move new project and fixup solution * Fixup model config * Fix up new UT project --------- Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
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/02-agents/Agents/Agent_Step02_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.