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Eduard van Valkenburg 6acab3d1d6 Python: [BREAKING] Standardize model selection on model (#4999 )

* Refactor Anthropic model option and provider clients

Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix Anthropic skills sample typing

Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* undo sample mypy

* Retry CI after transient external failures

Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback on model option merging

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address Anthropic compatibility review feedback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* moved all to `model`

* fixes for azure ai search

* Python: standardize remaining sample env var names

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: fix foundry-local pyright compatibility

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated env vars in cicd

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

2026-04-01 19:00:18 +00:00

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Code-Defined Agent Skills

This sample demonstrates how to create Agent Skills in Python code, without needing SKILL.md files on disk. A unit-converter skill shows three approaches:

What's Demonstrated

Static Resources — Pass inline content via the resources parameter when constructing a Skill
Dynamic Resources — Attach callable functions via the @skill.resource decorator that return content computed at runtime
Dynamic Scripts — Attach callable scripts via the @skill.script decorator (unit conversion via a single factor parameter)

All three can be combined with file-based skills in a single SkillsProvider.

Project Structure

code_defined_skill/
├── code_defined_skill.py
└── README.md

Running the Sample

Prerequisites

An Azure AI Foundry project with a deployed model (e.g. gpt-4o-mini)

Environment Variables

Set the required environment variables in a .env file (see python/.env.example):

FOUNDRY_PROJECT_ENDPOINT: Your Azure AI Foundry project endpoint
AZURE_OPENAI_MODEL: The name of your model deployment (defaults to gpt-4o-mini)

Authentication

This sample uses AzureCliCredential for authentication. Run az login in your terminal before running the sample.

Run

cd python
uv run samples/02-agents/skills/code_defined_skill/code_defined_skill.py

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