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/prompterone/agent-middlewaregit clone --depth 1 https://github.com/managedcode/PrompterOneWhat 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 | $0.00008 | $0.04144 |
| Opus 5 | $0.00004 | $0.02072 |
| Sonnet 5 | $0.00002 | $0.00829 |
| Haiku 4.5 | $0.00001 | $0.00414 |
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-middleware — 94% identical, 28 lines differ
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:
- Agent Run middleware: Allows interception of all agent runs, so that input and output can be inspected and/or modified as needed.
- 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.
- xref:Microsoft.Extensions.AI.IChatClient middleware: Allows interception of calls to an
IChatClientimplementation, where an agent is usingIChatClientfor inference calls, for example, when usingChatClientAgent.
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
runFuncandrunStreamingFuncshould 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]
DefaultAzureCredentialis convenient for development but requires careful consideration in production. Prefer a specific credential such asManagedIdentityCredentialwhen 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());
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.
- 2d ago First seen · 515 lines · 8 tokens per session scan A 472526aa81d4
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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