Borrowing it
Nothing to install: this file belongs to managedcode/PrompterOne. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/managedcode/PrompterOne/main/.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/create-and-run-durable-agent.mdgit clone --depth 1 https://github.com/managedcode/PrompterOneWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/managedcode/prompterone/create-and-run-durable-agent)<a href="https://agentmods.dev/agents/managedcode/prompterone/create-and-run-durable-agent"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/create-and-run-durable-agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/managedcode/prompterone/create-and-run-durable-agent"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/create-and-run-durable-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.05119 |
| Opus 5.5 | $0.00009 | $0.02048 |
| Sonnet 5.5 | $0.00004 | $0.01024 |
| Haiku 4.5 | $0.00002 | $0.00512 |
Grade A, and why
create-and-run-durable-agent scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -i -X POST http://localhost:7071/api/agents/MyDurableAgent/run \ Copies of this mod
1 near-identical copy found in the catalogue:
- create-and-run-durable-agent — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 622 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create and run a durable agent
This tutorial shows you how to create and run a durable AI agent using the durable task extension for Microsoft Agent Framework. You'll build an Azure Functions app that hosts a stateful agent with built-in HTTP endpoints, and learn how to monitor it using the Durable Task Scheduler dashboard.
Durable agents provide serverless hosting with automatic state management, allowing your agents to maintain conversation history across multiple interactions without managing infrastructure.
Prerequisites
Before you begin, ensure you have the following prerequisites:
::: zone pivot="programming-language-csharp"
- .NET 9.0 SDK or later
- Azure Functions Core Tools v4.x
- Azure Developer CLI (azd)
- Azure CLI installed and authenticated
- Docker Desktop installed and running (for local development with Azurite and the Durable Task Scheduler emulator)
- An Azure subscription with permissions to create resources
[!NOTE] Microsoft Agent Framework is supported with all actively supported versions of .NET. For the purposes of this sample, we recommend the .NET 9 SDK or a later version.
::: zone-end
::: zone pivot="programming-language-python"
- Python 3.10 or later
- Azure Functions Core Tools v4.x
- Azure Developer CLI (azd)
- Azure CLI installed and authenticated
- Docker Desktop installed and running (for local development with Azurite and the Durable Task Scheduler emulator)
- An Azure subscription with permissions to create resources
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 622 lines · 22 tokens per session scan A cbd4540e557e
create-and-run-durable-agent is an agent published in the GitHub repository managedcode/PrompterOne (45 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 5,119 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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