GPT-RAG Data Ingestion is a service that processes documents such as PDFs, images, spreadsheets, transcripts, and SharePoint files so they can be searched through Azure AI Search. It prepares data with format-specific chunking and text or image embeddings for multimodal retrieval in agent-based applications.
Borrowing it
Nothing to install: this file belongs to Azure/gpt-rag-ingestion. 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/gpt-rag-ingestion/main/.github/agents/release.agent.mdgit clone --depth 1 https://github.com/Azure/gpt-rag-ingestionWrote 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/agents/azure/gpt-rag-ingestion/release)<a href="https://agentmods.dev/agents/azure/gpt-rag-ingestion/release"><img src="https://agentmods.dev/badge/agents/azure/gpt-rag-ingestion/release/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/agents/azure/gpt-rag-ingestion/release"><img src="https://agentmods.dev/badge/agents/azure/gpt-rag-ingestion/release.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 | $0.00042 | $0.00212 |
| Opus 5.5 | $0.00017 | $0.00085 |
| Sonnet 5.5 | $0.00008 | $0.00042 |
| Haiku 4.5 | $0.00004 | $0.00021 |
Grade A, and why
release 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.
What it actually says
Ingestion release
Follow AGENTS.md, the complete rules in
.github/copilot-instructions.md, and load service-release.
Prepare release branches from develop, keep the branch, VERSION,
changelog, tag, and GitHub Release title synchronized, and validate the exact
ingestion artifact against its compatible Azure/GPT-RAG release context.
Release branches contain no unrelated product work.
Public validation notes must not expose personal Azure environment or resource-group names. Never create or edit a tag, GitHub Release, image, package, or production deployment without explicit human approval.
Output handoff: proposed version, compatibility context, release artifacts, commands and results, documentation status, rollback path, and remaining approval actions.
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 · 24 lines · 42 tokens per session scan A d0f2d97deedb
release is an agent published in the GitHub repository Azure/gpt-rag-ingestion (188 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 212 once invoked, about $0.0002 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.
release compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| releaseAzure/gpt-rag-ingestion | Agent | 188 | 1mo ago | MIT | A | 42 | Claude Code |
| deployment-specialistluongnv89/claude-howto | Agent | 47k | 3d ago | MIT | A | 8 | Claude Code |
| release-validatorrlajous/claude-code-commands | Agent | 30 | 3d ago | MIT | A | 25 | Claude Code |
| shipperngocsangyem/MeowKit | Agent | 15 | 5d ago | MIT | A | 57 | Claude Code |
| irisils15/pantheon-legacy | Agent | 12 | 6d ago | MIT | A | 45 | Claude Code |
| pr-ghostwriterkomunite/kalfa | Agent | 246 | 6mo ago | MIT | A | 81 | Claude Code |
| release-executordynos-fit/dynos-work | Agent | 2 | 4d ago | MIT | A | 67 | Claude Code |