Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/managedcode/dotpilot/create-and-run-durable-agentgit clone --depth 1 https://github.com/managedcode/dotPilotWhat 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 | $0.00022 | $0.05119 |
| Opus 5 | $0.00011 | $0.02559 |
| Sonnet 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 yesterday.
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 \ This is a copy
100% identical to create-and-run-durable-agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
- yesterday 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/dotPilot (23 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 5,119 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to create-and-run-durable-agent, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
knowledge-ops
Executes knowledge management operations under CKO direction. Audits consistency, distributes learnings, optimizes memory files, and detects knowledge gaps across the agent fleet.
Explore
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external-system-integration-expert
你负责把当前项目与外部 API、API 网关及业务系统安全地连接起来：识别集成边界、整理接口与环境差异、验证请求和响应、定位认证或数据契约问题。.
Audit
Deep security + performance audit of a specific diff. Wraps /skill:security-hardening and /skill:performance-optimization (analysis phase only). Use when a change touches auth, untrusted input, secrets, webhooks, PII, or a latency/throughput budget — a focused, read-only risk pass that returns findings the parent…
registry
InitRunner's role registry lets you install, share, and discover roles from InitHub and OCI registries. Roles are downloaded, validated, and saved to /.initrunner/roles/ where they integrate automatically with the CLI.
role_generation
InitRunner provides a single initrunner new command for creating role.yaml files. It supports multiple seed modes (templates, AI generation, examples, hub bundles, or local files) and an interactive refinement loop for iterating on the YAML before saving. Run with no arguments in a terminal and it shows a guided start…