Quickstart

# hello_agent.py
import asyncio
import os

from agent_framework.azure import AzureOpenAIResponsesClient
from azure.identity import AzureCliCredential
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

async def main():
    # Create the client with Azure CLI authentication
    credential = AzureCliCredential()
    client = AzureOpenAIResponsesClient(
        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
        deployment_name=os.environ["AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME"],
        credential=credential,
    )

    # Create an agent with instructions
    agent = client.as_agent(
        name="HelloAgent",
        instructions="You are a friendly assistant. Keep your answers brief.",
    )

    # Run the agent
    result = await agent.run("What is the capital of France?")
    print(f"Agent: {result}")

if __name__ == "__main__":
    asyncio.run(main())

// Program.cs
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Chat;

var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";

// Create the agent with Azure CLI authentication
AIAgent agent = new AzureOpenAIClient(
    new Uri(endpoint),
    new DefaultAzureCredential())
    .GetChatClient(deploymentName)
    .AsAIAgent(
        instructions: "You are a friendly assistant. Keep your answers brief.",
        name: "HelloAgent");

// Run the agent
Console.WriteLine(await agent.RunAsync("What is the capital of France?"));

# Streaming: receive tokens as they are generated
print("Agent (streaming): ", end="", flush=True)
async for chunk in agent.run("Tell me a one-sentence fun fact.", stream=True):
    if chunk.text:
        print(chunk.text, end="", flush=True)
print()

// Streaming: receive tokens as they are generated
await foreach (var update in agent.RunStreamingAsync("Tell me a one-sentence fun fact."))
{
    Console.WriteLine(update);
}

from agent_framework import tool
from typing import Annotated
from pydantic import Field
from random import randint

@tool(approval_mode="never_require")
def get_weather(
    location: Annotated[str, Field(description="The location to get the weather for.")],
) -> str:
    """Get the weather for a given location."""
    conditions = ["sunny", "cloudy", "rainy", "stormy"]
    return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."

# Create agent with the tool
agent = client.as_agent(
    name="WeatherAgent",
    instructions="You are a helpful weather agent. Use the get_weather tool to answer questions.",
    tools=get_weather,
)

result = await agent.run("What's the weather like in Seattle?")
print(f"Agent: {result}")

using System.ComponentModel;
using Microsoft.Extensions.AI;

[Description("Get the weather for a given location.")]
static string GetWeather([Description("The location to get the weather for.")] string location)
    => $"The weather in {location} is cloudy with a high of 15°C.";

// Create agent with the tool
AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
    .GetChatClient(deploymentName)
    .AsAIAgent(
        instructions: "You are a helpful weather agent.",
        tools: [AIFunctionFactory.Create(GetWeather)]);

Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?"));

# Create a session to maintain conversation history
session = agent.create_session()

# First turn
result = await agent.run("My name is Alice and I love hiking.", session=session)
print(f"Agent: {result}\n")

# Second turn — the agent remembers the context
result = await agent.run("What do you remember about me?", session=session)
print(f"Agent: {result}")

// Create a session to maintain conversation history
AgentSession session = await agent.CreateSessionAsync();

// First turn
Console.WriteLine(await agent.RunAsync("My name is Alice and I love hiking.", session));

// Second turn — the agent remembers the context
Console.WriteLine(await agent.RunAsync("What do you remember about me?", session));