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Chris 904a5b843e Python / .NET Samples - Restructure and Improve Samples (Feature Branc… (#4092)
* 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

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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

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* .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

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* 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

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* 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

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904a5b843e · 2026-02-26 00:56:10 +00:00
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Single Agent Orchestration Sample

This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that orchestrates sequential calls to a single AI agent using the same session for context continuity.

Key Concepts Demonstrated

  • Orchestrating multiple interactions with the same agent in a deterministic order
  • Using the same AgentSession across multiple calls to maintain conversational context
  • Durable orchestration with automatic checkpointing and resumption from failures
  • HTTP API integration for starting and monitoring orchestrations

Environment Setup

See the README.md file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.

Running the Sample

With the environment setup and function app running, you can test the sample by sending an HTTP request to start the orchestration.

You can use the demo.http file to start the orchestration, or a command line tool like curl as shown below:

Bash (Linux/macOS/WSL):

curl -X POST http://localhost:7071/api/singleagent/run

PowerShell:

Invoke-RestMethod -Method Post -Uri http://localhost:7071/api/singleagent/run

The response will be a JSON object that looks something like the following, which indicates that the orchestration has started.

{
  "message": "Single-agent orchestration started.",
  "instanceId": "86313f1d45fb42eeb50b1852626bf3ff",
  "statusQueryGetUri": "http://localhost:7071/api/singleagent/status/86313f1d45fb42eeb50b1852626bf3ff"
}

The orchestration will proceed to run the WriterAgent twice in sequence:

  1. First, it writes an inspirational sentence about learning
  2. Then, it refines the initial output using the same conversation thread

Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the statusQueryGetUri URL. The response will be a JSON object that looks something like the following:

{
    "failureDetails": null,
    "input": null,
    "instanceId": "86313f1d45fb42eeb50b1852626bf3ff",
    "output": "Learning serves as the key, opening doors to boundless opportunities and a brighter future.",
    "runtimeStatus": "Completed"
}