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Python: [BREAKING] Standardize model selection on model (#4999)

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* 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>
This commit is contained in:
Eduard van Valkenburg
2026-04-01 21:00:18 +02:00
committed by GitHub
Unverified
parent 95550dd0dc
commit 6acab3d1d6
184 changed files with 1749 additions and 1025 deletions
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python/samples/semantic-kernel-migration/openai_responses/01_basic_responses_agent.py
+2 -2
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@@ -23,12 +23,12 @@ async def run_semantic_kernel() -> None:
from semantic_kernel.connectors.ai.open_ai import OpenAISettings
openai_settings = OpenAISettings()
assert openai_settings.responses_model_id is not None, "Responses model ID must be set in OpenAISettings"
assert openai_settings.responses_model is not None, "Responses model ID must be set in OpenAISettings"
client = OpenAIResponsesAgent.create_client()
# SK response agents wrap OpenAI's hosted Responses API.
agent = OpenAIResponsesAgent(
ai_model_id=openai_settings.responses_model_id,
ai_model=openai_settings.responses_model,
client=client,
instructions="Answer in one concise sentence.",
name="Expert",
python/samples/semantic-kernel-migration/openai_responses/02_responses_agent_with_tool.py
+2 -2
View File
@@ -29,12 +29,12 @@ async def run_semantic_kernel() -> None:
return a + b
openai_settings = OpenAISettings()
assert openai_settings.responses_model_id is not None, "Responses model ID must be set in OpenAISettings"
assert openai_settings.responses_model is not None, "Responses model ID must be set in OpenAISettings"
client = OpenAIResponsesAgent.create_client()
# Plugins advertise callable tools to the Responses agent.
agent = OpenAIResponsesAgent(
ai_model_id=openai_settings.responses_model_id,
ai_model=openai_settings.responses_model,
client=client,
instructions="Use the add tool when math is required.",
name="MathExpert",
python/samples/semantic-kernel-migration/openai_responses/03_responses_agent_structured_output.py
+2 -2
View File
@@ -30,12 +30,12 @@ async def run_semantic_kernel() -> None:
from semantic_kernel.connectors.ai.open_ai import OpenAISettings
openai_settings = OpenAISettings()
assert openai_settings.responses_model_id is not None, "Responses model ID must be set in OpenAISettings"
assert openai_settings.responses_model is not None, "Responses model ID must be set in OpenAISettings"
client = OpenAIResponsesAgent.create_client()
# response_format requests schema-constrained output from the model.
agent = OpenAIResponsesAgent(
ai_model_id=openai_settings.responses_model_id,
ai_model=openai_settings.responses_model,
client=client,
instructions="Return launch briefs as structured JSON.",
name="ProductMarketer",
python/samples/semantic-kernel-migration/orchestrations/magentic.py
+3 -3
View File
@@ -54,15 +54,15 @@ async def build_semantic_kernel_agents() -> list[ChatCompletionAgent | OpenAIAss
instructions=(
"You are a Researcher. You find information without additional computation or quantitative analysis."
),
service=OpenAIChatCompletion(ai_model_id="gpt-4o-mini-search-preview"),
service=OpenAIChatCompletion(ai_model="gpt-4o-mini-search-preview"),
)
client = OpenAIAssistantAgent.create_client()
code_interpreter_tool, code_interpreter_tool_resources = OpenAIAssistantAgent.configure_code_interpreter_tool()
openai_settings = OpenAISettings()
model_id = openai_settings.chat_model_id if openai_settings.chat_model_id else "gpt-5"
model = openai_settings.chat_model if openai_settings.chat_model else "gpt-5"
definition = await client.beta.assistants.create( # pyright: ignore[reportDeprecated]
model=model_id,
model=model,
name="CoderAgent",
description="A helpful assistant that writes and executes code to process and analyze data.",
instructions="You solve questions using code. Please provide detailed analysis and computation process.",