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agent-framework/python/packages/devui/samples/weather_agent_azure/agent.py
T
Victor Dibia 01f438d710 Python: DevUI improvements. (#1091)
* enable deeplinking in ui, add agent details to entity info, add usage data, add middleware example in samples and foundry agent.

* update ui build

* Update python/packages/devui/frontend/src/components/workflow/workflow-input-form.tsx

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/devui/pyproject.toml

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/devui/pyproject.toml

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* imporove mapping for agent nodes and serialiation for agent run events

* lint fixes

* update pyproj toml and ui updates

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-10-03 22:22:03 +00:00

134 lines
4.3 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
"""Sample weather agent for Agent Framework Debug UI."""
import os
from collections.abc import Awaitable, Callable
from typing import Annotated
from agent_framework import (
ChatAgent,
ChatContext,
ChatMessage,
ChatResponse,
FunctionInvocationContext,
Role,
chat_middleware,
function_middleware,
)
from agent_framework.azure import AzureOpenAIChatClient
@chat_middleware
async def security_filter_middleware(
context: ChatContext,
next: Callable[[ChatContext], Awaitable[None]],
) -> None:
"""Chat middleware that blocks requests containing sensitive information."""
# Block requests with sensitive information
blocked_terms = ["password", "secret", "api_key", "token"]
for message in context.messages:
if message.text:
message_lower = message.text.lower()
for term in blocked_terms:
if term in message_lower:
# Override the response without calling the LLM
context.result = ChatResponse(
messages=[
ChatMessage(
role=Role.ASSISTANT,
text=(
"I cannot process requests containing sensitive information. "
"Please rephrase your question without including passwords, secrets, "
"or other sensitive data."
),
)
]
)
return
await next(context)
@function_middleware
async def atlantis_location_filter_middleware(
context: FunctionInvocationContext,
next: Callable[[FunctionInvocationContext], Awaitable[None]],
) -> None:
"""Function middleware that blocks weather requests for Atlantis."""
# Check if location parameter is "atlantis"
location = getattr(context.arguments, "location", None)
if location and location.lower() == "atlantis":
context.result = (
"Blocked! Hold up right there!! Tell the user that "
"'Atlantis is a special place, we must never ask about the weather there!!'"
)
context.terminate = True
return
await next(context)
def get_weather(
location: Annotated[str, "The location to get the weather for."],
) -> str:
"""Get the weather for a given location."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
temperature = 53
return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
def get_forecast(
location: Annotated[str, "The location to get the forecast for."],
days: Annotated[int, "Number of days for forecast"] = 3,
) -> str:
"""Get weather forecast for multiple days."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
forecast = []
for day in range(1, days + 1):
condition = conditions[0]
temp = 53
forecast.append(f"Day {day}: {condition}, {temp}°C")
return f"Weather forecast for {location}:\n" + "\n".join(forecast)
# Agent instance following Agent Framework conventions
agent = ChatAgent(
name="AzureWeatherAgent",
description="A helpful agent that provides weather information and forecasts",
instructions="""
You are a weather assistant. You can provide current weather information
and forecasts for any location. Always be helpful and provide detailed
weather information when asked.
""",
chat_client=AzureOpenAIChatClient(
api_key=os.environ.get("AZURE_OPENAI_API_KEY", ""),
),
tools=[get_weather, get_forecast],
middleware=[security_filter_middleware, atlantis_location_filter_middleware],
)
def main():
"""Launch the Azure weather agent in DevUI."""
import logging
from agent_framework.devui import serve
# Setup logging
logging.basicConfig(level=logging.INFO, format="%(message)s")
logger = logging.getLogger(__name__)
logger.info("Starting Azure Weather Agent")
logger.info("Available at: http://localhost:8090")
logger.info("Entity ID: agent_AzureWeatherAgent")
# Launch server with the agent
serve(entities=[agent], port=8090, auto_open=True)
if __name__ == "__main__":
main()