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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
Unverified
parent a5eacbbe65
commit 3a49b1d6dd
144 changed files with 669 additions and 18739 deletions
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python/samples/04-hosting/a2a/README.md
+5 -5
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@@ -22,16 +22,16 @@ The remaining files are supporting modules used by the server:
Make sure to set the following environment variables before running the examples:
### Required (Server)
- `AZURE_AI_PROJECT_ENDPOINT` — Your Azure AI Foundry project endpoint
- `AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME` — Model deployment name (e.g. `gpt-4o`)
- `FOUNDRY_PROJECT_ENDPOINT` — Your Azure AI Foundry project endpoint
- `FOUNDRY_MODEL` — Model deployment name (e.g. `gpt-4o`)
### Required (Client)
- `A2A_AGENT_HOST` — URL of the A2A server (e.g. `http://localhost:5001/`)
### Required (Function Tools Sample)
- `A2A_AGENT_HOST` — URL of the A2A server (e.g. `http://localhost:5000/`)
- `AZURE_AI_PROJECT_ENDPOINT` — Your Azure AI Foundry project endpoint
- `AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME` — Model deployment name (e.g. `gpt-4o`)
- `FOUNDRY_PROJECT_ENDPOINT` — Your Azure AI Foundry project endpoint
- `FOUNDRY_MODEL` — Model deployment name (e.g. `gpt-4o`)
## Quick Start
@@ -65,7 +65,7 @@ uv run python agent_with_a2a.py
### 3. Run the Function Tools Sample
This sample resolves the remote agent's skills and registers each one as a function tool
on a host OpenAI-powered agent. The host agent then autonomously selects the right skill
on a host Foundry-backed agent. The host agent then autonomously selects the right skill
to handle the user's request.
```powershell
python/samples/04-hosting/a2a/a2a_agent_as_function_tools.py
+9 -9
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@@ -7,7 +7,7 @@ import re
import httpx
from a2a.client import A2ACardResolver
from agent_framework.a2a import A2AAgent
from agent_framework.azure import AzureOpenAIResponsesClient
from agent_framework.foundry import FoundryChatClient
from azure.identity import AzureCliCredential
from dotenv import load_dotenv
@@ -29,8 +29,8 @@ Key concepts demonstrated:
Prerequisites:
- Set A2A_AGENT_HOST to the URL of a running A2A server
- Set AZURE_AI_PROJECT_ENDPOINT to your Azure AI Foundry project endpoint
- Set AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME to the model deployment name (e.g. gpt-4o)
- Set FOUNDRY_PROJECT_ENDPOINT to your Azure AI Foundry project endpoint
- Set FOUNDRY_MODEL to the model deployment name (e.g. gpt-4o)
To run this sample:
cd python/samples/04-hosting/a2a
@@ -45,11 +45,11 @@ async def main() -> None:
if not a2a_agent_host:
raise ValueError("A2A_AGENT_HOST environment variable is not set")
project_endpoint = os.getenv("AZURE_AI_PROJECT_ENDPOINT")
deployment_name = os.getenv("AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME")
if not project_endpoint or not deployment_name:
project_endpoint = os.getenv("FOUNDRY_PROJECT_ENDPOINT")
model = os.getenv("FOUNDRY_MODEL")
if not project_endpoint or not model:
raise ValueError(
"AZURE_AI_PROJECT_ENDPOINT and AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME must be set"
"FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL must be set"
)
print(f"Connecting to A2A agent at: {a2a_agent_host}")
@@ -83,9 +83,9 @@ async def main() -> None:
# 5. Create the host agent with the skill tools.
credential = AzureCliCredential()
client = AzureOpenAIResponsesClient(
client = FoundryChatClient(
project_endpoint=project_endpoint,
deployment_name=deployment_name,
model=model,
credential=credential,
)
host_agent = client.as_agent(