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@Lee-W Screenshots would be very helpful |
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One thing I am concerned about is -- "toolsets" is the concept of Common AI provider and doesn't apply more generally to other providers. So calling it toolsets is weird.
I wonder if you can do something specific to only Common AI provider for now.. even if needs to be manually maintained (ideally not)
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Readers had no single place to see what this provider reaches. The answer was spread across the toolsets guide, the index page, seven connection pages and provider.yaml, so the differentiating half — the Airflow hooks, MCP servers, SQL warehouses, DataFusion tables, sandboxes and vendor-managed agents a toolset gives you over a raw SDK call — was effectively unwritten. The model list had also drifted. It was a hand-copied snapshot of nine vendors while the connection actually resolves anything pydantic_ai.providers can construct, so services we already support, Snowflake Cortex and OpenRouter among them, were absent from the page a customer searches. Making provider.yaml the one source both the page and the registry read keeps them from disagreeing, and a test that derives the reachable set from pydantic-ai turns a drift into a red build naming the vendor rather than a quiet omission. That list is derived from a current pydantic-ai, while the provider supports pydantic-ai-slim from 2.23.0 upward and CI exercises exactly that floor. Snowflake Cortex and Crusoe reach back only to 2.27.0 and 2.28.0, so a vendor being absent downstream is a version difference rather than drift. The test therefore asserts on every supported version that an installed vendor is declared, and defers the opposite direction to the release that carries all of them.
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Why
Nothing told a user what
common.aiactually reaches — the answer was spread across the toolsets guide, the index page, seven connection pages andprovider.yaml, so the differentiating half (the Airflow hooks, MCP servers, SQL warehouses, DataFusion tables, sandboxes and vendor-managed agents a toolset gives you over a raw SDK call) was effectively unwritten.The model list had also drifted: it was a hand-copied snapshot of nine vendors while the connection resolves anything
pydantic_ai.providerscan construct, so services we already support — Snowflake Cortex and OpenRouter among them — were absent from the page a customer searches.What
provider.yamlbecomes the one source the docs page reads, and — for connection types — the registry too.pydanticaiandmcpconnection types get theirexternal-serviceslists completed, and a newtoolsets[].external-serviceskey (schema entry plus a section in the provider-hook-migration contributing doc) records what each toolset module reaches.provider-connection-servicesandprovider-toolset-services, render those lists as tables on a new Supported services page, linked from the provider indextoolsets.rstgainshowto/toolset:<module>anchors so every row links to the toolset it names.Was generative AI tooling used to co-author this PR?
Generated-by: [Claude] following the guidelines
{pr_number}.significant.rst, in airflow-core/newsfragments. You can add this file in a follow-up commit after the PR is created so you know the PR number.