Borrowing it
Nothing to install: this file belongs to Azure-Samples/aisearch-openai-rag-audio. 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/aisearch-openai-rag-audio/main/AGENTS.mdgit clone --depth 1 https://github.com/Azure-Samples/aisearch-openai-rag-audioWrote 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/aisearch-openai-rag-audio/agents-md)<a href="https://agentmods.dev/instructions/azure-samples/aisearch-openai-rag-audio/agents-md"><img src="https://agentmods.dev/badge/instructions/azure-samples/aisearch-openai-rag-audio/agents-md.svg" alt="Measured on agentmods" 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 | $0.03306 | $0.03306 |
| Opus 5 | $0.01653 | $0.01653 |
| Sonnet 5 | $0.00661 | $0.00661 |
| Haiku 4.5 | $0.00331 | $0.00331 |
Grade A, and why
aisearch-openai-rag-audio 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 8d 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 — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions for Coding Agents
This file contains instructions for developers and automated coding agents working on the VoiceRAG application. It covers code layout, environment setup, testing procedures, and development conventions.
Overview
VoiceRAG is an application pattern demonstrating RAG (Retrieval Augmented Generation) with voice interfaces using Azure AI Search and the GPT-4o Realtime API for Audio. The application enables voice-based interactions with a knowledge base, with audio input processed through the browser and sent to Azure OpenAI's real-time API for responses.
Main technologies:
- Backend: Python 3.11+ with aiohttp web framework
- Frontend: React with TypeScript, built with Vite
- Infrastructure: Azure Bicep templates for Azure Container Apps deployment
- Key Azure Services: Azure OpenAI (GPT-4o Realtime API), Azure AI Search, Azure Container Apps
- Deployment: Azure Developer CLI (azd)
Primary entry points:
app/backend/app.py- Backend application server (aiohttp)app/frontend/src/main.tsx- Frontend React applicationscripts/start.shorscripts/start.ps1- Development server startup scripts
Code layout
app/- Main application codeapp/backend/- Python backend codeapp/backend/app.py- Main entry point for backend server (aiohttp)app/backend/rtmt.py- Real-time middle tier for Azure OpenAI integrationapp/backend/ragtools.py- RAG tools for Azure AI Search integrationapp/backend/setup_intvect.py- Setup script for integrated vectorizationapp/backend/requirements.txt- Python dependencies
app/frontend/- React TypeScript frontendapp/frontend/src/- Source code for React componentsapp/frontend/src/locales/- Translation files (en, es, fr, ja)app/frontend/package.json- Node.js dependenciesapp/frontend/vite.config.ts- Vite build configuration
app/Dockerfile- Container image definition for deployment
infra/- Bicep infrastructure-as-code templatesinfra/main.bicep- Main infrastructure definitioninfra/main.parameters.json- Template parametersinfra/core/- Reusable Bicep modules
scripts/- Helper scripts for development and deploymentscripts/start.sh/scripts/start.ps1- Start development serverscripts/write_env.sh/scripts/write_env.ps1- Generate .env file from azdscripts/setup_intvect.sh/scripts/setup_intvect.ps1- Setup integrated vectorizationscripts/load_python_env.sh/scripts/load_python_env.ps1- Create Python virtual environment
data/- Sample data files (Markdown documents)docs/- Documentationdocs/existing_services.md- Connect to existing Azure servicesdocs/customizing_deploy.md- Customize deployment optionsdocs/manual_setup.md- Manual setup instructions
.github/workflows/- GitHub Actions workflows.github/workflows/template-validation.yaml- Template validation workflow.github/workflows/azure-dev.yml- Azure deployment workflow
azure.yaml- Azure Developer CLI (azd) configurationpyproject.toml- Python project configuration (ruff linting rules)
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.
- 8d ago First seen · 380 lines · 3,306 tokens per session scan A bdbf74f9f169
aisearch-openai-rag-audio AGENTS.md is an instructions file published in the GitHub repository Azure-Samples/aisearch-openai-rag-audio (564 stars, last pushed 9mo ago), licensed MIT. It adds 3,306 tokens to every session, about $0.0165 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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