from agent_framework.azure import AzureOpenAIChatClient
from azure.identity import AzureCliCredential

client = AzureOpenAIChatClient(credential=AzureCliCredential())
agent = client.as_agent(
    instructions="You are a helpful assistant.",
    tools=[...]
)

from agent_framework.azure import AzureAIProjectAgentProvider
from azure.identity.aio import AzureCliCredential

async with (
    AzureCliCredential() as credential,
    AzureAIProjectAgentProvider(credential=credential) as provider
):
    agent = await provider.create_agent(
        name="MyAgent",
        instructions="You are a helpful assistant.",
        tools=[...]
    )

async for chunk in agent.run(query, stream=True):
    if chunk.text:
        print(chunk.text, end="", flush=True)

from agent_framework import tool
from typing import Annotated

@tool(approval_mode="always_require")  # Require human approval
def get_weather(location: Annotated[str, "City name"]) -> str:
    """Get weather for a location."""
    return f"Weather in {location}: Sunny, 72°F"

agent = client.as_agent(
    instructions="You are a weather assistant.",
    tools=[get_weather]  # Pass tools to agent
)