AI Gateway Labs is a collection of hands-on examples for using an AI gateway built with Azure API Management and Microsoft Foundry to manage AI models, tools, and agents. Developers use the labs to explore policies for security, request routing, monitoring, caching, and cost control, with notebooks and deployable infrastructure templates. The catalogue entries provide skills and instructions for working through these gateway examples.
Borrowing it
Nothing to install: this file belongs to Azure-Samples/AI-Gateway. 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/Azure-Samples/AI-Gateway/main/AGENTS.mdgit clone --depth 1 https://github.com/Azure-Samples/AI-GatewayWrote 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/instructions/azure-samples/ai-gateway/agents-md)<a href="https://agentmods.dev/instructions/azure-samples/ai-gateway/agents-md"><img src="https://agentmods.dev/badge/instructions/azure-samples/ai-gateway/agents-md/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/instructions/azure-samples/ai-gateway/agents-md"><img src="https://agentmods.dev/badge/instructions/azure-samples/ai-gateway/agents-md.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 | $0.01322 | $0.01322 |
| Opus 5.5 | $0.00529 | $0.00529 |
| Sonnet 5.5 | $0.00264 | $0.00264 |
| Haiku 4.5 | $0.00132 | $0.00132 |
Grade A, and why
AI-Gateway AGENTS.md 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This document describes the key directories in the AI Gateway workspace for AI coding agents.
Overview
The AI Gateway is an experimental repository exploring the AI Gateway pattern through Azure API Management. It focuses on managing AI services APIs with security, reliability, performance, and cost controls. Labs use Jupyter notebooks with Python, Bicep templates, and Azure API Management policies.
Directory Structure
labs/
Contains hands-on experimental labs, each in its own subdirectory. Labs are structured as Jupyter notebooks with supporting Bicep infrastructure files and APIM policies.
Categories of labs include:
-
AI Agents & MCP:
model-context-protocol/,mcp-client-authorization/,mcp-a2a-agents/,mcp-from-api/,mcp-prm-oauth/,mcp-registry-apic/,openai-agents/,ai-agent-service/,realtime-mcp-agents/,gemini-mcp-agents/ -
Model Integration:
ai-foundry-sdk/,ai-foundry-deepseek/,ai-foundry-private-mcp/,gemini-models/,aws-bedrock/,slm-self-hosting/ -
Load Balancing & Routing:
backend-pool-load-balancing/,backend-pool-load-balancing-tf/,model-routing/ -
Security & Access Control:
access-controlling/,content-safety/,private-connectivity/,secure-responses-api/ -
Monitoring & Logging:
built-in-logging/,token-metrics-emitting/ -
Rate Limiting & Caching:
token-rate-limiting/,semantic-caching/ -
Specialized Features:
realtime-audio/,image-generation/,function-calling/,vector-searching/,message-storing/,session-awareness/ -
Operations:
finops-framework/,zero-to-production/ -
Lab structure pattern:
-
README.md- README file to describe lab following the standard lab structure. -
<lab-name>.ipynb- Main Jupyter notebook with step-by-step instructions -
clean-up-resources.ipynb- Jupyter notebooks used to removed resources when the lab is finished -
main.bicep- Azure infrastructure deployment template -
params.json- Temporary file generated automatically for the bicep deployment. This file will not be commited to the repo. -
*policy.xml- Azure API Management policy files -
pyproject.toml- Lab-specific Python dependencies (only present when the lab needs deps beyond the root environment). -
src/- Supporting source code (when applicable)
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.
- 2mo ago First seen · 118 lines · 1,322 tokens per session scan A 3e5c41e73068
AI-Gateway AGENTS.md is an instructions file published in the GitHub repository Azure-Samples/AI-Gateway (1,008 stars, last pushed yesterday), licensed MIT. It adds 1,322 tokens to every session, about $0.0053 per session on Opus 5.5. 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.
AI-Gateway AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| AI-Gateway AGENTS.mdAzure-Samples/AI-Gateway | Instructions file | 1.0k | yesterday | MIT | A | 1,322 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |