azure-ai-search-foundry-iq-live-knowledge-sources: Instructions file for Codex

AGENTS.md

azure-ai-search-foundry-iq-live-knowledge-sources AGENTS.md is an instructions file for Codex, OpenCode from microsoft/azure-ai-search-foundry-iq-live-knowledge-sources. It costs 2,138 tokens per session, scanned A, original, MIT.

Repository instructions that tell a coding agent how to inspect, run, deploy, verify, clean up, and modify an Azure and Fabric demo project.

In plain words
What is it for?
Running local checks, choosing project profiles, validating configuration, and managing the demo's cloud lifecycle.
Why use it?
They provide a safe order for trying the project and distinguish inspection commands from commands that change cloud resources or create billable services.

Instructions file for CodexOpenCode ✓ vendor

Written for Codex and OpenCode: the file is AGENTS.md.

This is microsoft/azure-ai-search-foundry-iq-live-knowledge-sources's own configuration. It tells Codex and OpenCode how to work on azure-ai-search-foundry-iq-live-knowledge-sources 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 azure-ai-search-foundry-iq-live-knowledge-sources configures →

About the project

Foundry IQ Live Knowledge Sources Accelerator is a reusable repository for testing and composing live grounding sources in Azure AI Search, including Search indexes, MCP servers, and Fabric Ontology sources. It guides implementers and evaluators through guarded deployment and evidence checks, while its instruction supports coding-agent work in the repository.

microsoft/azure-ai-search-foundry-iq-live-knowledge-sources · 16 stars · on GitHub · microsoft.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to microsoft/azure-ai-search-foundry-iq-live-knowledge-sources. 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/microsoft/azure-ai-search-foundry-iq-live-knowledge-sources/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/microsoft/azure-ai-search-foundry-iq-live-knowledge-sources

Made for: Codex, OpenCode.

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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Your own site
<a href="https://agentmods.dev/instructions/microsoft/azure-ai-search-foundry-iq-live-knowledge-sources/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/azure-ai-search-foundry-iq-live-knowledge-sources/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.

agentmods 80×15 button for azure-ai-search-foundry-iq-live-knowledge-sources AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/microsoft/azure-ai-search-foundry-iq-live-knowledge-sources/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/azure-ai-search-foundry-iq-live-knowledge-sources/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,138 This file is loaded in full into every session.
When invoked 2,138 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 $0.02138 $0.02138
Opus 5 $0.01069 $0.01069
Sonnet 5 $0.00428 $0.00428
Haiku 4.5 $0.00214 $0.00214

Measured 8d ago against content hash fa107df45827, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

azure-ai-search-foundry-iq-live-knowledge-sources 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.

AGENTS.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Runbook

This public accelerator demonstrates Foundry IQ composition across Azure AI Search MCP Server and Fabric Ontology Knowledge Sources. Use this file as the operational contract when an agent is asked to inspect, run, deploy, verify, clean up, or modify the repository.

Safe Default

Follow this progression unless the user explicitly requests another profile:

offline -> search-index -> mcp-search-index -> three-source -> mcp-only -> byo-fabric

full is a greenfield demo profile. It creates a billable Fabric F2 capacity and generated Fabric assets, so it requires explicit user intent and --accept-fabric-capacity.

First Commands

From a fresh clone:

./liveks try
./liveks bootstrap
./liveks profiles
./liveks doctor --profile offline --format json
bash scripts/validate-local.sh

On Windows PowerShell, replace ./liveks with ./liveks.ps1 and run .\scripts\validate-local.ps1 for the final gate.

Do not create cloud resources merely because credentials are available. try, doctor, and plan are the inspection path. up, down, and e2e mutate cloud state.

Configuration Authority

  • config/schema.yaml defines supported fields, validation, azd projection, secrets, and legacy mappings.
  • config/compatibility.yaml defines supported runtime and tool requirements, CI-exercised combinations, API pins, and the documentation command contract.
  • config/scenario-pack-schema.json and scenario-packs/*/manifest.json define synthetic replay evidence without redefining deployment topology.
  • profiles/offline.yaml, search-index.yaml, mcp-search-index.yaml, three-source.yaml, mcp-only.yaml, byo-fabric.yaml, and full.yaml define executable defaults, resources, cost, and success criteria.
  • .liveks/<environment>.yaml is the ignored human-authored ledger.
  • .liveks/<environment>.lock.json is the ignored redacted resolution and ownership record.
  • azd env is generated deployment state, not the v2 authoring source.
  • .env.sample and env/*.env.example are generated compatibility catalogs for REST/notebook users.

Read the full file on GitHub · 163 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. 8d ago Changed · +53 lines · +887 tokens per session fa107df45827
  2. 12d ago First seen · 110 lines · 1,251 tokens per session scan A 4febe91e1717

Subscribe to this mod's changes

azure-ai-search-foundry-iq-live-knowledge-sources AGENTS.md is an instructions file published in the GitHub repository microsoft/azure-ai-search-foundry-iq-live-knowledge-sources (16 stars, last pushed 5d ago), licensed MIT. It adds 2,138 tokens to every session, about $0.0107 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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