middleware

A layer that can intercept and change an agent’s interactions before or after the agent runs. Middleware is commonly used for concerns shared across many interactions, such as logging or security.

In plain words
What is it for?
Use it to add logging, security checks, or other processing around agent runs in a C# application.
Why use it?
It keeps cross-cutting behavior separate from the agent’s main instructions and tools.

Agent for Codex

Install

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.

agentmods
npx agentmods add agents/managedcode/dotpilot/middleware
Clone the repo
git clone --depth 1 https://github.com/managedcode/dotPilot

Made for: Codex.

Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,236 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00007 $0.02236
Opus 5 $0.00003 $0.01118
Sonnet 5 $0.00001 $0.00447
Haiku 4.5 $0.00001 $0.00224

Measured 2d ago against content hash 368441f61080, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

middleware scanned grade A with 0 findings 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 2d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/middleware.md · 323 lines

How it starts

The opening of the file, as written. The whole thing — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adding Middleware to Agents

Learn how to add middleware to your agents in a few simple steps. Middleware allows you to intercept and modify agent interactions for logging, security, and other cross-cutting concerns.

::: zone pivot="programming-language-csharp"

Prerequisites

For prerequisites and installing NuGet packages, see the Create and run a simple agent step in this tutorial.

Step 1: Create a Simple Agent

First, create a basic agent with a function tool.

using System;
using System.ComponentModel;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI;

[Description("The current datetime offset.")]
static string GetDateTime()
    => DateTimeOffset.Now.ToString();

AIAgent baseAgent = new AzureOpenAIClient(
    new Uri("https://<myresource>.openai.azure.com"),
    new AzureCliCredential())
        .GetChatClient("gpt-4o-mini")
        .AsAIAgent(
            instructions: "You are an AI assistant that helps people find information.",
            tools: [AIFunctionFactory.Create(GetDateTime, name: nameof(GetDateTime))]);

Step 2: Create Your Agent Run Middleware

Next, create a function that will get invoked for each agent run. It allows you to inspect the input and output from the agent.

Unless the intention is to use the middleware to stop executing the run, the function should call RunAsync on the provided innerAgent.

This sample middleware just inspects the input and output from the agent run and outputs the number of messages passed into and out of the agent.

using System.Collections.Generic;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;

async Task<AgentResponse> CustomAgentRunMiddleware(
    IEnumerable<ChatMessage> messages,
    AgentThread? thread,
    AgentRunOptions? options,
    AIAgent innerAgent,
    CancellationToken cancellationToken)
{
    Console.WriteLine($"Input: {messages.Count()}");
    var response = await innerAgent.RunAsync(messages, thread, options, cancellationToken).ConfigureAwait(false);
    Console.WriteLine($"Output: {response.Messages.Count}");
    return response;
}

Read the full file on GitHub · 323 lines

Changes

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.

  1. 2d ago First seen · 323 lines · 7 tokens per session scan A 368441f61080

Subscribe to this mod's changes

middleware is an agent published in the GitHub repository managedcode/dotPilot (23 stars, last pushed 4mo ago), licensed MIT. It adds 7 tokens to every session and 2,236 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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