Llms

The Pydantic documentation is available in the llms.txt format. This format is defined in Markdown and suited for large language models.

Two formats are available:

• llms.txt: a file containing a brief description of the project, along with links to the different sections of the documentation. The structure of this file is described in details in the format documentation.
• llms-full.txt: Similar to the llms.txt file, but every link content is included. Note that this file may be too large for some LLMs.

As of today, these files cannot be natively leveraged by LLM frameworks or IDEs. Alternatively, a MCP server can be implemented to properly parse the llms.txt file.

Where llms.txt gives an AI tool the Pydantic documentation, the Logfire MCP server gives it your application's runtime data: an agent can query the traces, metrics, and recorded validations from your own service and, for example, pull up the input behind a [ValidationError][pydantic_core.ValidationError] while it's helping you fix it.