Llms.txt

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|subcat=Web
 
|subcat=Web
 
|extensions={{ext|txt}}
 
|extensions={{ext|txt}}
|wikidata={{wikidata|Q80776}}
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|wikidata={{wikidata|Q133958690}}
 
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}}
  
 
'''llms.txt''' is a proposed document standard by [https://jeremy.fast.ai/ Jeremy Howard] for enabling LLMs to make use of a website at inference time.
 
'''llms.txt''' is a proposed document standard by [https://jeremy.fast.ai/ Jeremy Howard] for enabling LLMs to make use of a website at inference time.
  
'''llms.txt''' is based on Markdown meaning it is human and machine readable. It adopts a precise structure enabling "fixed processing methods".
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'''llms.txt''' is based on [[Markdown]] meaning it is human and machine readable. It adopts a precise structure enabling "fixed processing methods".
  
 
== Proposed structure ==
 
== Proposed structure ==
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* [https://llmstxt.org/ llms.txt homepage]
 
* [https://llmstxt.org/ llms.txt homepage]
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[[Category:AI and Machine Learning]]

Revision as of 00:21, 4 March 2026

File Format
Name Llms.txt
Ontology
Extension(s) .txt
Wikidata ID Q133958690

llms.txt is a proposed document standard by Jeremy Howard for enabling LLMs to make use of a website at inference time.

llms.txt is based on Markdown meaning it is human and machine readable. It adopts a precise structure enabling "fixed processing methods".

Proposed structure

The structure is proposed as follows:

  • An H1 with the name of the project or site. This is the only required section
  • A blockquote with a short summary of the project, containing key information necessary for understanding the rest of the file
  • Zero or more markdown sections (e.g. paragraphs, lists, etc) of any type except headings, containing more detailed information about the project and how to interpret the provided files
  • Zero or more markdown sections delimited by H2 headers, containing “file lists” of URLs where further detail is available
  • Each “file list” is a markdown list, containing a required markdown hyperlink [name](url), then optionally a : and notes about the file.

Example

An example might look as follows (from the documentation):

# Title

> Optional description goes here

Optional details go here

## Section name

- [Link title](https://link_url): Optional link details

## Optional

- [Link title](https://link_url)

References

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