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APIM-Unified-AI-Gateway-Sample: Instructions file for GitHub Copilot

.github/copilot-instructions.md

APIM-Unified-AI-Gateway-Sample copilot-instructions.md is an instructions file for GitHub Copilot from Azure-Samples/APIM-Unified-AI-Gateway-Sample. It costs 1,404 tokens per session, scanned A, original, MIT.

Project instructions for an Azure sample that demonstrates an AI gateway built with Azure API Management. It describes the sample's purpose, deployment assumptions, and technology choices.

In plain words
What is it for?
Use it when modifying this sample so changes follow its educational scope, deployment model, and documented project conventions.
Why use it?
It tells an AI coding assistant that the repository is a learning demo with fresh deployments and no existing production data. That prevents it from adding unnecessary migration or enterprise safeguards.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is Azure-Samples/APIM-Unified-AI-Gateway-Sample's own configuration. It tells GitHub Copilot how to work on APIM-Unified-AI-Gateway-Sample itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything APIM-Unified-AI-Gateway-Sample configures →

not rated 18repo 1mo ago A scan 1,404 tokens original MIT
View source ↗ Azure-Samples/APIM-Unified-AI-Gateway-Sample
Reuse

Borrowing it

Nothing to install: this file belongs to Azure-Samples/APIM-Unified-AI-Gateway-Sample. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Azure-Samples/APIM-Unified-AI-Gateway-Sample/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/Azure-Samples/APIM-Unified-AI-Gateway-Sample

Made for: GitHub Copilot.

Wrote 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.

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README.md
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<a href="https://agentmods.dev/instructions/azure-samples/apim-unified-ai-gateway-sample/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/azure-samples/apim-unified-ai-gateway-sample/copilot-instructions/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.

agentmods 80×15 button for APIM-Unified-AI-Gateway-Sample copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/azure-samples/apim-unified-ai-gateway-sample/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/azure-samples/apim-unified-ai-gateway-sample/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,404 This file is loaded in full into every session.
When invoked 1,404 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.01404 $0.01404
Opus 5.5 $0.00562 $0.00562
Sonnet 5.5 $0.00281 $0.00281
Haiku 4.5 $0.00140 $0.00140

Measured 2mo ago against content hash c88052932c6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

APIM-Unified-AI-Gateway-Sample copilot-instructions.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.

.github/copilot-instructions.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot Instructions

This file provides guidance to GitHub Copilot when working on code changes in this repository.

Repository Context - SAMPLE/DEMO

This is a SAMPLE repository designed for learning and demonstration purposes.

  • NOT a production application - Does not implement production-level security, scalability, or reliability patterns
  • Fresh deployments only - Users deploy with azd up to create new infrastructure from scratch
  • No existing state - There is no production data, no existing users, no live infrastructure to preserve
  • No migration scenarios - Users tear down and redeploy; there is nothing to migrate from
  • Breaking changes welcome - Each deployment is independent; no backward compatibility needed
  • Simplified patterns - Prioritizes clarity and learning over enterprise complexity

When implementing changes:

  • Focus on clean, understandable code that demonstrates concepts
  • Do NOT add enterprise patterns (feature flags, gradual rollouts, A/B testing) unless specifically requested
  • Do NOT plan migration phases or assume existing infrastructure
  • Do NOT add production hardening unless it's core to the feature being demonstrated

Project Knowledge

Deployment Model

This sample uses Azure Developer CLI (azd) to provision infrastructure via Terraform:

  1. main.tfvars.json defines variable values for azd
  2. azd passes these values to Terraform via variables.tf

CRITICAL: Variable names must match exactly (case-sensitive) between main.tfvars.json and variables.tf.

main.tfvars.json          variables.tf
─────────────────         ────────────────
"resourceGroup"    →      variable "resourceGroup"
"location"         →      variable "location"

Tech Stack

  • Infrastructure as Code: Terraform >= 1.7.0, Azure Resource Manager (ARM)
  • Cloud Platform: Microsoft Azure
    • Azure API Management (APIM)
    • Azure AI Foundry (AI Services API 2025-06-01)
    • Azure OpenAI Service (GPT-4o, GPT-4o-mini)
    • Azure Cognitive Services
    • Azure Application Insights
    • Azure Entra ID (formerly Azure AD)
  • Terraform Providers: azurerm ~> 3.114, azuread ~> 2.49, azapi >= 2.7.0, random ~> 3.6, local ~> 2.5
  • DevOps & Automation: Azure Developer CLI (azd), PowerShell 7+, REST Client
  • AI Models & APIs:
    • Azure OpenAI (GPT-4o, GPT-4o-mini)
    • Azure AI Foundry (Phi-4 model v7)
    • Google Gemini 2.0 Flash (external API)
  • API Management: Circuit breakers, load balancing, JWT authentication, managed identities
  • Policy Languages: APIM policy XML (C# 7 syntax compliant)

Read the full file on GitHub · 135 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. 2mo ago First seen · 135 lines · 1,404 tokens per session scan A c88052932c6d

Subscribe to this mod's changes

APIM-Unified-AI-Gateway-Sample copilot-instructions.md is an instructions file published in the GitHub repository Azure-Samples/APIM-Unified-AI-Gateway-Sample (18 stars, last pushed 1mo ago), licensed MIT. It adds 1,404 tokens to every session, about $0.0056 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.

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