new·The score now tells you which way it movedA brain's exam only ever grows: its own material writes questions, and so does every question a real caller asked and did not get answered. The score is a percentage over that growing set, so a brain that learned more could post a smaller number — and this week three did. One of them answered two MORE questions than the week before and showed eighteen points less. Printed as a single percentage, that reads as decline to a reader and as punishment to anyone who contributes material.all news →
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Pydantic · Integrations · all subjects

documentation

7 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

Pydantic uses MkDocs for documentation

Pydantic uses MkDocs for documentation together with mkdocstrings plugin.

Sphinx intersphinx configuration for Pydantic

To configure Sphinx intersphinx for cross-referencing Pydantic API documentation, add the following to the intersphinx_mapping in your Sphinx configuration file: intersphinx_mapping = {'pydantic': ('https://pydantic.dev/docs/validation/latest', None)}. You can substitute 'latest' with 'dev' to target the latest documentation build from the main branch.

MkDocs mkdocstrings cross-reference configuration for Pydantic

To configure mkdocstrings for cross-referencing Pydantic in your MkDocs configuration, add the following to the mkdocstrings plugin configuration under the python handler import section: https://pydantic.dev/docs/validation/latest/objects.inv. You can substitute 'latest' with 'dev' to target the latest documentation build from the main branch.

Pydantic llms.txt format availability

Pydantic documentation is available in llms.txt format, which is suited for large language models. Two versions are provided: llms.txt (brief description with links) and llms-full.txt (includes all link content, may be too large for some LLMs). These files currently cannot be natively leveraged by LLM frameworks or IDEs.

Pydantic MCP server for documentation access

A Model Context Protocol (MCP) server can be implemented to properly parse the llms.txt file, enabling LLM frameworks to access Pydantic documentation in a structured way.

Logfire MCP server provides runtime data integration

The Logfire MCP server gives AI tools access to an application's runtime data, including traces, metrics, and recorded validations. An agent can query traces and pull up the input behind ValidationError exceptions while debugging.

ISBN type availability in pydantic_extra_types

The ISBN type is available as part of the pydantic_extra_types module at pydantic_extra_types.isbn.

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