Microsoft Agent Framework - Creating Azure AI Foundry Agents

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import asyncio
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential

async def main():
    async with (
        AzureCliCredential() as credential,
        AzureAIAgentClient(
            project_endpoint="https://ai-engineer-in.services.ai.azure.com/api/projects/ai-engineer-in",
            model_deployment_name="gpt-5-mini",
            async_credential=credential,
            agent_name="WeatherAgent",
        ).create_agent(
            instructions="You are a weather man. Provide accurate and concise weather information based on user queries.",
        ) as agent,
    ):
        result = await agent.run("What's the weather like in Bengaluru?")
        print(result.text)

asyncio.run(main())

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export AZURE_AI_PROJECT_ENDPOINT="https://ai-engineer-in.services.ai.azure.com/api/projects/ai-engineer-in"
export AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"

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PS C:\> python .\01-agent-basic-no-env.py
I can’t access live data from here. Do you want a real‑time forecast (I can’t fetch it unless you paste it or allow a tool) or a quick summary of typical/current-season weather for Bengaluru?

Quick summary (typical for early December / dry season):
- Overall: mild, dry and pleasant.
- Daytime highs: about 24–30°C.
- Night/morning lows: about 14–20°C.
- Rain: low chance of rain (post‑monsoon season).
- Wind: light to moderate breezes.
- What to wear: light layers for daytime; a light sweater/jacket for mornings/evenings.

If you want current temperature, wind, humidity, or a 7‑day forecast, tell me and I’ll (a) explain how to get it quickly online or (b) you can paste your current weather output and I’ll interpret it. Which would you like?

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print("Agent: ", end="", flush=True)
async for chunk in agent.run_stream("Tell me a short story"):
    if chunk.text:
        print(chunk.text, end="", flush=True)
print()

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import asyncio
from typing import Annotated
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential
from pydantic import Field
from dotenv import load_dotenv
import os

load_dotenv()

def get_weather(
    location: Annotated[str, Field(description="The location to get the weather for.")],
) -> str:
    import requests
    import json

    api_key = os.getenv("OPEN_WEATHERMAP_API_KEY")

    base_url = "http://api.openweathermap.org/data/2.5/weather"
    complete_url = f"{base_url}?q={location}&appid={api_key}&units=metric"

    response = requests.get(complete_url)
    data = response.json()

    if data["cod"] != "404":
        main_data = data["main"]
        current_temperature = main_data["temp"]

        return f"Temperature: {current_temperature}°C"
    else:
        return "City not found"

async def main():
    async with (
        AzureCliCredential() as credential,
        AzureAIAgentClient(async_credential=credential).create_agent(
            name="WeatherAgent",
            instructions="You are a helpful weather assistant.",
            tools=get_weather,
            store=True
        ) as agent,
    ):
        result = await agent.run("Given the current climate in Bengaluru, what should I wear?")
        print(result.text)

asyncio.run(main())

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PS C:\> python .\03-agent-tool-call.py
Right now it’s about 20.5°C in Bengaluru — mild and slightly cool. Practical dressing tips:

- Base layer: a light long-sleeve shirt, cotton tee with a thin sweater, or a casual button-down.
- Outer layer: carry a light jacket, hoodie, or thin cardigan — easy to remove if it warms up.
- Bottoms: jeans, chinos, or trousers are comfortable; skirts with light tights also work.
- Shoes: closed shoes or sneakers; sandals are ok if you run warm, but a closed pair is more comfortable in the cool.
- Accessories: a light scarf if you feel chilly in the morning/evening. Carry a compact umbrella or light windbreaker if you want to be safe against sudden showers/wind.

If you tell me what you’ll be doing (office, outdoor activity, evening out) or whether you’re sensitive to cold, I can suggest a more specific outfit. Want me to check rain/wind for the next few hours?

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import asyncio
from agent_framework import HostedCodeInterpreterTool
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential

from dotenv import load_dotenv  
load_dotenv()

async def main():
    async with (
        AzureCliCredential() as credential,
        AzureAIAgentClient(async_credential=credential).create_agent(
            name="CodingExecutionAgent",
            instructions="You are a helpful assistant that can write and execute Python code.",
            tools=HostedCodeInterpreterTool()
        ) as agent,
    ):
        result = await agent.run("Calculate the 100th prime number.")
        print(result.text)

asyncio.run(main())

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PS C:\> python .\04-agent-code-interpreter.py
The 100th prime number is 541.