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

---------

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

python/packages/durabletask/tests/integration_tests/.env.example

@@ -1,6 +1,6 @@
 # Azure OpenAI Configuration
 AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/
-AZURE_OPENAI_DEPLOYMENT_NAME=your-deployment-name
+AZURE_OPENAI_MODEL=your-deployment-name
 # Optional: Use Azure CLI authentication if not provided
 # AZURE_OPENAI_API_KEY=your-api-key
 

python/packages/durabletask/tests/integration_tests/README.md

@@ -14,7 +14,7 @@ cp .env.example .env
 
 Required variables:
 - `AZURE_OPENAI_ENDPOINT`
-- `AZURE_OPENAI_DEPLOYMENT_NAME`
+- `AZURE_OPENAI_MODEL`
 - `AZURE_OPENAI_API_KEY` (optional if using Azure CLI authentication)
 - `ENDPOINT` (default: http://localhost:8080)
 - `TASKHUB` (default: default)
@@ -97,7 +97,7 @@ If you see "DTS emulator is not available":
 
 If you see authentication or deployment errors:
 - Verify your `AZURE_OPENAI_ENDPOINT` is correct
-- Confirm `AZURE_OPENAI_DEPLOYMENT_NAME` matches your deployment
+- Confirm `AZURE_OPENAI_MODEL` matches your deployment
 - If using API key, check `AZURE_OPENAI_API_KEY` is valid
 - If using Azure CLI, ensure you're logged in: `az login`
 

python/packages/durabletask/tests/integration_tests/conftest.py

@@ -291,7 +291,7 @@ def pytest_collection_modifyitems(config: pytest.Config, items: list[pytest.Item
     """Skip tests based on markers and environment availability."""
     foundry_vars = ["FOUNDRY_PROJECT_ENDPOINT", "FOUNDRY_MODEL"]
     foundry_available = all(os.getenv(var) for var in foundry_vars)
-    azure_openai_vars = ["AZURE_OPENAI_ENDPOINT", "AZURE_OPENAI_DEPLOYMENT_NAME"]
+    azure_openai_vars = ["AZURE_OPENAI_ENDPOINT", "AZURE_OPENAI_MODEL"]
     azure_openai_available = all(os.getenv(var) for var in azure_openai_vars)
     skip_foundry = pytest.mark.skip(reason=f"Missing required environment variables: {', '.join(foundry_vars)}")
     skip_azure_openai = pytest.mark.skip(
@@ -348,7 +348,7 @@ def check_sample_env(request: pytest.FixtureRequest) -> None:
 
     sample_name = cast(str, sample_marker.args[0])  # type: ignore[union-attr]
     if sample_name == "06_multi_agent_orchestration_conditionals":
-        required_vars = ["AZURE_OPENAI_ENDPOINT", "AZURE_OPENAI_DEPLOYMENT_NAME"]
+        required_vars = ["AZURE_OPENAI_ENDPOINT", "AZURE_OPENAI_MODEL"]
     else:
         required_vars = ["FOUNDRY_PROJECT_ENDPOINT", "FOUNDRY_MODEL"]
     missing = [var for var in required_vars if not os.getenv(var)]