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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/packages/ag-ui/README.md
+4 -4
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@@ -15,16 +15,16 @@ pip install agent-framework-ag-ui
```python
from fastapi import FastAPI
from agent_framework import Agent
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
# Create your agent
agent = Agent(
name="my_agent",
instructions="You are a helpful assistant.",
client=AzureOpenAIChatClient(
endpoint="https://your-resource.openai.azure.com/",
deployment_name="gpt-4o-mini",
client=OpenAIChatCompletionClient(
azure_endpoint="https://your-resource.openai.azure.com/",
model="gpt-4o-mini",
api_key="your-api-key",
),
)
python/packages/ag-ui/agent_framework_ag_ui_examples/README.md
+16 -16
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@@ -16,7 +16,7 @@ All example agents are factory functions that accept any `SupportsChatGetRespons
```python
from fastapi import FastAPI
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework.openai import OpenAIChatClient
from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
from agent_framework_ag_ui_examples.agents import simple_agent, weather_agent
@@ -24,11 +24,11 @@ from agent_framework_ag_ui_examples.agents import simple_agent, weather_agent
app = FastAPI()
# Option 1: Use Azure OpenAI
azure_client = AzureOpenAIChatClient(model_id="gpt-4")
azure_client = OpenAIChatCompletionClient(model="gpt-4")
add_agent_framework_fastapi_endpoint(app, simple_agent(azure_client), "/chat")
# Option 2: Use OpenAI
openai_client = OpenAIChatClient(model_id="gpt-4o")
openai_client = OpenAIChatClient(model="gpt-4o")
add_agent_framework_fastapi_endpoint(app, weather_agent(openai_client), "/weather")
# Run with: uvicorn main:app --reload
@@ -39,14 +39,14 @@ add_agent_framework_fastapi_endpoint(app, weather_agent(openai_client), "/weathe
```python
from fastapi import FastAPI
from agent_framework import Agent
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
# Create your agent
agent = Agent(
name="my_agent",
instructions="You are a helpful assistant.",
client=AzureOpenAIChatClient(model_id="gpt-4o"),
client=OpenAIChatCompletionClient(model="gpt-4o"),
)
# Create FastAPI app and add AG-UI endpoint
@@ -90,7 +90,7 @@ Complete examples for all AG-UI features are available:
### Using Example Agents
```python
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework.openai import OpenAIChatClient
from agent_framework_ag_ui_examples.agents import (
simple_agent,
@@ -99,8 +99,8 @@ from agent_framework_ag_ui_examples.agents import (
)
# Create a chat client (use any SupportsChatGetResponse implementation)
azure_client = AzureOpenAIChatClient(model_id="gpt-4")
openai_client = OpenAIChatClient(model_id="gpt-4o")
azure_client = OpenAIChatCompletionClient(model="gpt-4")
openai_client = OpenAIChatClient(model="gpt-4o")
# Create agent instances by calling the factory functions
agent1 = simple_agent(azure_client)
@@ -137,7 +137,7 @@ The server exposes endpoints at:
```python
from fastapi import FastAPI
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
from agent_framework_ag_ui_examples.agents import (
simple_agent,
@@ -153,7 +153,7 @@ from agent_framework_ag_ui_examples.agents import (
app = FastAPI(title="AG-UI Examples")
# Create a chat client (shared across all agents, or create individual ones)
client = AzureOpenAIChatClient(model_id="gpt-4")
client = OpenAIChatCompletionClient(model="gpt-4")
# Add all example endpoints
add_agent_framework_fastapi_endpoint(app, simple_agent(client), "/agentic_chat")
@@ -223,8 +223,8 @@ def my_custom_agent(client: SupportsChatGetResponse) -> AgentFrameworkAgent:
)
# Use it
from agent_framework.azure import AzureOpenAIChatClient
client = AzureOpenAIChatClient()
from agent_framework.openai import OpenAIChatCompletionClient
client = OpenAIChatCompletionClient()
agent = my_custom_agent(client)
```
@@ -234,13 +234,13 @@ State is injected as system messages and updated via predictive state updates:
```python
from agent_framework import Agent
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework.ag_ui import AgentFrameworkAgent
# Create your agent
agent = Agent(
name="recipe_agent",
client=AzureOpenAIChatClient(model_id="gpt-4o"),
client=OpenAIChatCompletionClient(model="gpt-4o"),
)
state_schema = {
@@ -271,13 +271,13 @@ Predictive state updates automatically stream tool arguments as optimistic state
```python
from agent_framework import Agent
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework.ag_ui import AgentFrameworkAgent
# Create your agent
agent = Agent(
name="document_writer",
client=AzureOpenAIChatClient(model_id="gpt-4o"),
client=OpenAIChatCompletionClient(model="gpt-4o"),
)
predict_state_config = {
python/packages/ag-ui/agent_framework_ag_ui_examples/server/api/backend_tool_rendering.py
+2 -2
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@@ -6,7 +6,7 @@ from typing import Any, cast
from agent_framework._clients import SupportsChatGetResponse
from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from fastapi import FastAPI
from ...agents.weather_agent import weather_agent
@@ -19,7 +19,7 @@ def register_backend_tool_rendering(app: FastAPI) -> None:
app: The FastAPI application.
"""
# Create a chat client and call the factory function
client = cast(SupportsChatGetResponse[Any], AzureOpenAIChatClient())
client = cast(SupportsChatGetResponse[Any], OpenAIChatCompletionClient())
add_agent_framework_fastapi_endpoint(
app,
python/packages/ag-ui/agent_framework_ag_ui_examples/server/main.py
+2 -2
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@@ -12,7 +12,7 @@ import uvicorn
from agent_framework import ChatOptions
from agent_framework._clients import SupportsChatGetResponse
from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
@@ -80,7 +80,7 @@ client: SupportsChatGetResponse[ChatOptions] = cast(
SupportsChatGetResponse[ChatOptions],
AnthropicClient()
if AnthropicClient is not None and os.getenv("CHAT_CLIENT", "").lower() == "anthropic"
else AzureOpenAIChatClient(),
else OpenAIChatCompletionClient(),
)
# Agentic Chat - basic chat agent
python/packages/ag-ui/getting_started/README.md
+7 -7
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@@ -185,7 +185,7 @@ Create a file named `server.py`:
import os
from agent_framework import Agent
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
from fastapi import FastAPI
@@ -205,9 +205,9 @@ if not api_key:
agent = Agent(
name="AGUIAssistant",
instructions="You are a helpful assistant.",
client=AzureOpenAIChatClient(
endpoint=endpoint,
deployment_name=deployment_name,
client=OpenAIChatCompletionClient(
azure_endpoint=endpoint,
model=deployment_name,
api_key=api_key,
),
)
@@ -230,7 +230,7 @@ if __name__ == "__main__":
- **`Agent`**: The agent that will handle incoming requests
- **FastAPI Integration**: Uses FastAPI's native async support for streaming responses
- **Instructions**: The agent is created with default instructions, which can be overridden by client messages
- **Configuration**: `AzureOpenAIChatClient` can read from environment variables (`AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, `AZURE_OPENAI_API_KEY`) or accept parameters directly
- **Configuration**: `OpenAIChatCompletionClient` can read from environment variables (`AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_DEPLOYMENT_NAME`, `AZURE_OPENAI_API_KEY`) or accept parameters directly
**Alternative (simpler)**: Use environment variables only:
@@ -239,7 +239,7 @@ if __name__ == "__main__":
agent = Agent(
name="AGUIAssistant",
instructions="You are a helpful assistant.",
client=AzureOpenAIChatClient(), # Reads from environment automatically
client=OpenAIChatCompletionClient(), # Reads from environment automatically
)
```
@@ -249,7 +249,7 @@ Set the required environment variables:
```bash
export AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
export AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="gpt-4o-mini"
export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
# Optional: Set API key if not using DefaultAzureCredential
# export AZURE_OPENAI_API_KEY="your-api-key"
```
python/packages/ag-ui/getting_started/server.py
+6 -6
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@@ -9,7 +9,7 @@ import os
from agent_framework import Agent, tool
from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.openai import OpenAIChatCompletionClient
from dotenv import load_dotenv
from fastapi import Depends, FastAPI, HTTPException, Security
from fastapi.security import APIKeyHeader
@@ -26,12 +26,12 @@ logger = logging.getLogger(__name__)
# Read required configuration
endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT")
deployment_name = os.environ.get("AZURE_OPENAI_CHAT_DEPLOYMENT_NAME")
deployment_name = os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME")
if not endpoint:
raise ValueError("AZURE_OPENAI_ENDPOINT environment variable is required")
if not deployment_name:
raise ValueError("AZURE_OPENAI_CHAT_DEPLOYMENT_NAME environment variable is required")
raise ValueError("AZURE_OPENAI_DEPLOYMENT_NAME environment variable is required")
# ============================================================================
@@ -119,9 +119,9 @@ def get_time_zone(location: str) -> str:
agent = Agent(
name="AGUIAssistant",
instructions="You are a helpful assistant. Use get_weather for weather and get_time_zone for time zones.",
client=AzureOpenAIChatClient(
endpoint=endpoint,
deployment_name=deployment_name,
client=OpenAIChatCompletionClient(
azure_endpoint=endpoint,
model=deployment_name,
),
tools=[get_time_zone], # ONLY server-side tools
)