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llms.txt examples

How real projects summarise themselves for language models.

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AWSllms.txt

amazon-sagemaker-examples

aws/amazon-sagemaker-examples/llms.txt

Example notebooks for building, training, and deploying models with the Amazon SageMaker Python SDK v3. This repository targets v3 only; pip install sagemaker installs v3. SDK v3 is modular (sagemaker-core, sagemaker-train, sagemaker-serve, sagemaker-mlops) and is not backward compatible with v2. v2 examples are archived, not maintained. This file follows the llms.txt convention (https://llmstxt.org): a curated index plus explicit instructions so AI coding agents generate correct, current (v3) code. - SDK-first: for any SageMaker task (train, deploy, process, pipelines), use the…

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CLAUDE.md vs AGENTS.md

About llms.txt

What is llms.txt?

A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.

What's llms-full.txt?

The same idea with the content included, so an agent can read the documentation in one request.

Who reads it?

Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.

How do I write one?

Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.