Try other clients

python/samples/getting_started/azure_functions/01_single_agent/function_app.py

@@ -8,13 +8,14 @@ Prerequisites: set `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAM
 
 from typing import Any
 
-from agent_framework.azure import AgentFunctionApp, AzureOpenAIChatClient
-from azure.identity import AzureCliCredential
+from agent_framework.azure import AgentFunctionApp
+from agent_framework.anthropic import AnthropicClient
+
 # 1. Instantiate the agent with the chosen deployment and instructions.
 def _create_agent() -> Any:
     """Create the Joker agent."""
 
-    return AzureOpenAIChatClient(credential=AzureCliCredential()).create_agent(
+    return AnthropicClient().create_agent(
         name="Joker",
         instructions="You are good at telling jokes.",
     )

python/samples/getting_started/azure_functions/02_multi_agent/function_app.py

@@ -12,6 +12,7 @@ import logging
 from typing import Any
 
 from agent_framework.azure import AgentFunctionApp, AzureOpenAIChatClient
+from agent_framework.openai import OpenAIChatClient
 from azure.identity import AzureCliCredential
 
 logger = logging.getLogger(__name__)
@@ -50,15 +51,13 @@ def calculate_tip(bill_amount: float, tip_percentage: float = 15.0) -> dict[str,
 
 
 # 1. Create multiple agents, each with its own instruction set and tools.
-chat_client = AzureOpenAIChatClient(credential=AzureCliCredential())
-
-weather_agent = chat_client.create_agent(
+weather_agent = AzureOpenAIChatClient(credential=AzureCliCredential()).create_agent(
     name="WeatherAgent",
     instructions="You are a helpful weather assistant. Provide current weather information.",
     tools=[get_weather],
 )
 
-math_agent = chat_client.create_agent(
+math_agent = OpenAIChatClient().create_agent(
     name="MathAgent",
     instructions="You are a helpful math assistant. Help users with calculations like tip calculations.",
     tools=[calculate_tip],

python/samples/getting_started/azure_functions/03_callbacks/function_app.py

@@ -19,10 +19,9 @@ from agent_framework import AgentRunResponseUpdate
 from agent_framework.azure import (
     AgentCallbackContext,
     AgentFunctionApp,
-    AgentResponseCallbackProtocol,
-    AzureOpenAIChatClient,
+    AgentResponseCallbackProtocol
 )
-from azure.identity import AzureCliCredential
+from agent_framework.openai import OpenAIResponsesClient
 
 logger = logging.getLogger(__name__)
 
@@ -110,7 +109,7 @@ class ConversationAuditTrail(AgentResponseCallbackProtocol):
 
 
 # 2. Create the agent that will emit streaming updates and final responses.
-callback_agent = AzureOpenAIChatClient(credential=AzureCliCredential()).create_agent(
+callback_agent = OpenAIResponsesClient().create_agent(
     name="CallbackAgent",
     instructions=(
         "You are a friendly assistant that narrates actions while responding. "

python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py

@@ -16,9 +16,9 @@ from typing import Any, cast
 
 import azure.durable_functions as df
 import azure.functions as func
-from agent_framework.azure import AgentFunctionApp, AzureOpenAIChatClient
+from agent_framework.azure import AgentFunctionApp
+from agent_framework.openai import OpenAIChatClient, OpenAIResponsesClient
 from azure.durable_functions import DurableOrchestrationContext
-from azure.identity import AzureCliCredential
 from pydantic import BaseModel, ValidationError
 
 logger = logging.getLogger(__name__)
@@ -43,14 +43,13 @@ class EmailPayload(BaseModel):
 
 # 2. Instantiate both agents so they can be registered with AgentFunctionApp.
 def _create_agents() -> list[Any]:
-    chat_client = AzureOpenAIChatClient(credential=AzureCliCredential())
 
-    spam_agent = chat_client.create_agent(
+    spam_agent = OpenAIChatClient().create_agent(
         name=SPAM_AGENT_NAME,
         instructions="You are a spam detection assistant that identifies spam emails.",
     )
 
-    email_agent = chat_client.create_agent(
+    email_agent = OpenAIResponsesClient().create_agent(
         name=EMAIL_AGENT_NAME,
         instructions="You are an email assistant that helps users draft responses to emails with professionalism.",
     )