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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/03-workflows/declarative/function_tools/README.md
+6 -6
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@@ -6,7 +6,7 @@ This sample demonstrates an agent with function tools responding to user queries
The workflow showcases:
- **Function Tools**: Agent equipped with tools to query menu data
- **Real Azure OpenAI Agent**: Uses `AzureOpenAIResponsesClient` to create an agent with tools
- **Real Foundry-backed agent**: Uses `FoundryChatClient` to create an agent with tools
- **Agent Registration**: Shows how to register agents with the `WorkflowFactory`
## Tools
@@ -37,7 +37,7 @@ Drinks:
## Prerequisites
- Azure OpenAI configured with required environment variables
- Microsoft Foundry configured with required environment variables
- Authentication via azure-identity (run `az login` before executing)
## Usage
@@ -65,16 +65,16 @@ Session Complete
## How It Works
1. Create an Azure OpenAI chat client
1. Create a Foundry chat client
2. Create an agent with instructions and function tools
3. Register the agent with the workflow factory
4. Load the workflow YAML and run it with `run()` and `stream=True`
```python
# Create the agent with tools
client = AzureOpenAIResponsesClient(
project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)
menu_agent = client.as_agent(