agent-middleware

A way to add middleware to Microsoft Agent Framework. Middleware is code that runs around an agent, its tool calls, or its connection to an AI model so it can inspect or change what happens.

In plain words
What is it for?
Use it to inspect or modify agent inputs and outputs, check function-call data, handle errors, or change results before they are returned.
Why use it?
It keeps shared tasks such as logging, security checks, error handling, and result changes outside the main agent code. This avoids repeating that logic in every agent or function.

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/prompterone/agent-middleware
Clone the repo
git clone --depth 1 https://github.com/managedcode/PrompterOne

Made for: Codex.

Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,144 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 $0.00008 $0.04144
Opus 5 $0.00004 $0.02072
Sonnet 5 $0.00002 $0.00829
Haiku 4.5 $0.00001 $0.00414

Measured 2d ago against content hash 472526aa81d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-middleware.md · 515 lines

How it starts

The opening of the file, as written. The whole thing — 515 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Middleware

[!NOTE] The live Learn page for this content now resolves to the canonical middleware article at https://learn.microsoft.com/agent-framework/agents/middleware/. The old tutorial and user-guide URLs now land on the same page.

Middleware in Agent Framework provides a powerful way to intercept, modify, and enhance agent interactions at various stages of execution. You can use middleware to implement cross-cutting concerns such as logging, security validation, error handling, and result transformation without modifying your core agent or function logic.

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

Agent Framework can be customized using three different types of middleware:

  1. Agent Run middleware: Allows interception of all agent runs, so that input and output can be inspected and/or modified as needed.
  2. Function calling middleware: Allows interception of all function calls executed by the agent, so that input and output can be inspected and modified as needed.
  3. xref:Microsoft.Extensions.AI.IChatClient middleware: Allows interception of calls to an IChatClient implementation, where an agent is using IChatClient for inference calls, for example, when using ChatClientAgent.

All the types of middleware are implemented via a function callback, and when multiple middleware instances of the same type are registered, they form a chain, where each middleware instance is expected to call the next in the chain, via a provided next Func.

Agent run and function calling middleware types can be registered on an agent, by using the agent builder with an existing agent object.

var middlewareEnabledAgent = originalAgent
    .AsBuilder()
        .Use(runFunc: CustomAgentRunMiddleware, runStreamingFunc: CustomAgentRunStreamingMiddleware)
        .Use(CustomFunctionCallingMiddleware)
    .Build();

[!IMPORTANT] Ideally both runFunc and runStreamingFunc should be provided. When providing just the non-streaming middleware, the agent will use it for both streaming and non-streaming invocations. Streaming will only run in non-streaming mode to suffice the middleware expectations.

[!NOTE] There's an additional overload, Use(sharedFunc: ...), that allows you to provide the same middleware for non-streaming and streaming without blocking the streaming. However, the shared middleware won't be able to intercept or override the output. This overload should be used for scenarios where you only need to inspect or modify the input before it reaches the agent.

IChatClient middleware can be registered on an IChatClient before it is used with a ChatClientAgent, by using the chat client builder pattern.

var chatClient = new AzureOpenAIClient(new Uri("https://<myresource>.openai.azure.com"), new DefaultAzureCredential())
    .GetChatClient(deploymentName)
    .AsIChatClient();

var middlewareEnabledChatClient = chatClient
    .AsBuilder()
        .Use(getResponseFunc: CustomChatClientMiddleware, getStreamingResponseFunc: null)
    .Build();

var agent = new ChatClientAgent(middlewareEnabledChatClient, instructions: "You are a helpful assistant.");

[!WARNING] DefaultAzureCredential is convenient for development but requires careful consideration in production. Prefer a specific credential such as ManagedIdentityCredential when the hosting environment is known.

IChatClient middleware can also be registered using a factory method when constructing an agent via one of the helper methods on SDK clients.

var agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
    .GetChatClient(deploymentName)
    .AsAIAgent("You are a helpful assistant.", clientFactory: (chatClient) => chatClient
        .AsBuilder()
            .Use(getResponseFunc: CustomChatClientMiddleware, getStreamingResponseFunc: null)
        .Build());

Read the full file on GitHub · 515 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 · 515 lines · 8 tokens per session scan A 472526aa81d4

Subscribe to this mod's changes

agent-middleware is an agent published in the GitHub repository managedcode/PrompterOne (42 stars, last pushed 3mo ago), licensed MIT. It adds 8 tokens to every session and 4,144 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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