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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>
6acab3d1d6 ยท 2026-04-01 19:00:18 +00:00
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Get Started with Microsoft Agent Framework Durable Task

PyPI

Please install this package via pip:

pip install agent-framework-durabletask --pre

Durable Task Integration

The durable task integration lets you host Microsoft Agent Framework agents using the Durable Task framework so they can persist state, replay conversation history, and recover from failures automatically.

Basic Usage Example

from agent_framework import Agent
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework_durabletask import DurableAIAgentWorker
from durabletask.worker import TaskHubGrpcWorker

# Create the worker
worker = TaskHubGrpcWorker(host_address="localhost:4001")
agent_worker = DurableAIAgentWorker(worker)

chat_client = OpenAIChatCompletionClient()
my_agent = Agent(client=chat_client, name="assistant")
agent_worker.add_agent(my_agent)

For more details, review the Python README and the samples directory.