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Python: [BREAKING] Remove deprecated Python OpenAI/Azure AI surfaces (#4990)

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* [BREAKING] Remove deprecated Python OpenAI/Azure AI surfaces

Also clean up follow-on docs, environment guidance, package metadata, and lab test stability.

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

* Fix deleted semantic-kernel sample links

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

* Address PR review feedback

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

* improve foundry language

* Fix A2A Foundry sample regression

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Eduard van Valkenburg
2026-03-31 22:36:21 +02:00
committed by GitHub
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parent a5eacbbe65
commit 3a49b1d6dd
144 changed files with 669 additions and 18739 deletions
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python/samples/02-agents/providers/anthropic/README.md
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@@ -33,7 +33,8 @@ This folder contains examples demonstrating how to use Anthropic's Claude models
### Foundry
- `ANTHROPIC_FOUNDRY_API_KEY`: Your Foundry Anthropic API key
- `ANTHROPIC_FOUNDRY_ENDPOINT`: The endpoint URL for your Foundry Anthropic resource
- `ANTHROPIC_FOUNDRY_RESOURCE`: Your Foundry resource name (for example `my-foundry-resource`)
- `ANTHROPIC_FOUNDRY_BASE_URL`: Optional full Foundry Anthropic base URL alternative to `ANTHROPIC_FOUNDRY_RESOURCE`
- `ANTHROPIC_CHAT_MODEL_ID`: The Claude model to use in Foundry (e.g., `claude-haiku-4-5`)
### Claude Agent
python/samples/02-agents/providers/anthropic/anthropic_foundry.py
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@@ -22,8 +22,11 @@ This example requires `anthropic>=0.74.0` and an endpoint in Foundry for Anthrop
To use the Foundry integration ensure you have the following environment variables set:
- ANTHROPIC_FOUNDRY_API_KEY
Alternatively you can pass in a azure_ad_token_provider function to the AsyncAnthropicFoundry constructor.
- ANTHROPIC_FOUNDRY_ENDPOINT
Should be something like https://<your-resource-name>.services.ai.azure.com/anthropic/
- ANTHROPIC_FOUNDRY_RESOURCE
Should be the resource name portion of your Foundry Anthropic URL, such as <your-resource-name>.
- ANTHROPIC_FOUNDRY_BASE_URL
Optional alternative to ANTHROPIC_FOUNDRY_RESOURCE. Should be something like
https://<your-resource-name>.services.ai.azure.com/anthropic/
- ANTHROPIC_CHAT_MODEL_ID
Should be something like claude-haiku-4-5
"""
python/samples/02-agents/providers/azure/openai_chat_completion_client_with_explicit_settings.py
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@@ -41,7 +41,7 @@ async def main() -> None:
# authentication option.
agent = Agent(
client=OpenAIChatCompletionClient(
model=os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"],
model=os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"],
azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
credential=AzureCliCredential(),
),
python/samples/02-agents/providers/custom/README.md
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@@ -27,7 +27,7 @@ Both approaches allow you to extend the framework for your specific use cases wh
## Understanding Raw Client Classes
The framework provides `Raw...Client` classes (e.g., `RawOpenAIChatClient`, `RawOpenAIChatCompletionClient`, `RawAzureAIClient`) that are intermediate implementations without middleware, telemetry, or function invocation support.
The framework provides `Raw...Client` classes (e.g., `RawOpenAIChatClient`, `RawOpenAIChatCompletionClient`, `RawFoundryChatClient`) that are intermediate implementations without middleware, telemetry, or function invocation support.
### Warning: Raw Clients Should Not Normally Be Used Directly
@@ -62,8 +62,8 @@ For most use cases, use the fully-featured public client classes which already h
- `OpenAIChatCompletionClient` - OpenAI Chat Completions API with all layers
- `OpenAIChatClient` - OpenAI Responses API with all layers
- `AzureOpenAIChatClient` - Azure OpenAI Chat with all layers
- `AzureOpenAIResponsesClient` - Azure OpenAI Responses with all layers
- `AzureAIClient` - Azure AI Project with all layers
- `OpenAIChatCompletionClient` - Azure OpenAI Chat Completions with all layers
- `OpenAIChatClient` - Azure OpenAI Responses with all layers
- `FoundryChatClient` - Azure AI Foundry project-backed chat with all layers
These clients handle the layer composition correctly and provide the full feature set out of the box.