create-agent-dotnet

# Create a .NET Agent Application ## Overview This skill describes how to create a durable AI agent application in .NET. > **On naming.** [Dapr Agents](https://github.com/dapr/dapr-agents) is a **Python-only** framework and is not used here. The .NET path is [Microsoft Agent Framework](https://learn.microsoft.com/en-us/agent-framework/) (`Microsoft.Agents.AI` + `Microsoft.Extensions.AI`) executed durably on Dapr Workflow by the [`Diagrid.AI.Microsoft.AgentFramework`](https://www.nuget.org/packages/Diagrid.AI.Microsoft.AgentFramework) package. That package turns every LLM call and every tool call into its own workflow activity, so an agent run survives a process restart and resumes from the last completed step. The `Dapr` in `AddDaprAgents()` / `IDaprAgentInvoker` names that workflow runtime — it is not the Python framework. The LLM is reached through a Dapr [conversation component](https://docs.dapr.io/reference/components-reference/supported-conversation/), not through a provider SDK registered in DI. Swapping providers is a YAML change, not a code change. Observability is not baked in. Dapr's own sidecar metrics and traces cover the workflow layer (see [`../shared/agent-metrics-prometheus.md`](../shared/agent-metrics-prometheus.md)); anything above that comes from the wrapped framework's OpenTelemetry support or from your own APM. ## Execution Order You MUST follow these phases in strict order: 1. **Check specification** — Check if the user specified what needs to be...