Add bricefotzo/dbt-bqai package

[bricefotzo]

Description

dbt-bqai is a package that wraps the BigQuery AI.* function family: AI.GENERATE, AI.GENERATE_BOOL/INT/DOUBLE, AI.CLASSIFY, AI.SCORE, AI.IF, AI.EMBED - so they can be called from dbt models without repeating the connection, endpoint and model-parameter boilerplate on every call. Defaults are configured once via vars in dbt_project.yml and can be overridden per call.

It also ships two generic data tests (assert_valid_category, assert_embedding_dimension) for validating AI outputs, and defaults for Vertex AI cost controls (thinking_budget, max_error_ratio, optimized/embeddings path).

Link to your package's repository: https://github.com/bricefotzo/dbt-bqai

(Context: I first opened dbt-labs/hub.getdbt.com#4611 by mistake; @b-per kindly pointed me to the hubcap flow. Thanks!)

Checklist

Real world usage

• (Required): I have been using this package in production and am satisfied with its behavior.

First run experience

• (Required): The package includes a licence file detectable by GitHub, such as the Apache 2.0 or MIT licence.
• The package includes a README which explains how to get started with the package and customise its behaviour
• The README indicates which data warehouses/platforms are expected to work with this package

Customisability

• The package uses ref or source, instead of hard-coding table references.

Dependencies

Dependencies on dbt Core

• The package has set a supported require-dbt-version range in dbt_project.yml. Example: A package which depends on functionality added in dbt Core 1.2 should set its require-dbt-version property to [">=1.2.0", "<2.0.0"].

Dependencies on other packages defined in packages.yml:

• Dependencies are imported from the dbt Package Hub when available, as opposed to a git installation.
• Dependencies contain the widest possible range of supported versions, to minimise issues in dependency resolution.
• In particular, dependencies are not pinned to a patch version unless there is a known incompatibility.

(the package has no packages.yml dependencies of its own)

Interoperability

• The package does not override dbt Core behaviour in such a way as to impact other dbt resources (models, tests, etc) not provided by the package.
• The package uses the cross-database macros built into dbt Core where available, such as {{ dbt.except() }} and {{ dbt.type_string() }}.
• The package disambiguates its resource names to avoid clashes with nodes that are likely to already exist in a project. For example, packages should not provide a model simply called users.

Versioning

• (Required): The package's git tags validates against the regex defined in hubcap/version.py (examples).
• The package's version follows the guidance of Semantic Versioning 2.0.0. (Note in particular the recommendation for production-ready packages to be version 1.0.0 or above)