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136 lines
4.3 KiB
Python
136 lines
4.3 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Example of using Agent Framework DevUI with in-memory entity registration.
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This demonstrates the simplest way to serve agents and workflows as OpenAI-compatible API endpoints.
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Includes both agents and a basic workflow to showcase different entity types.
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"""
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import logging
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import os
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from typing import Annotated
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from agent_framework import (
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Agent,
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Executor,
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WorkflowBuilder,
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WorkflowContext,
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handler,
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tool,
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)
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from agent_framework.devui import serve
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from agent_framework.foundry import FoundryChatClient
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from azure.identity.aio import AzureCliCredential
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from dotenv import load_dotenv
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from typing_extensions import Never
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# Load environment variables from .env file
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load_dotenv()
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# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production;
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# see samples/02-agents/tools/function_tool_with_approval.py
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# and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
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@tool(approval_mode="never_require")
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def get_weather(
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location: Annotated[str, "The location to get the weather for."],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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temperature = 53
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return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
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@tool(approval_mode="never_require")
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def get_time(
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timezone: Annotated[str, "The timezone to get time for."] = "UTC",
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) -> str:
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"""Get current time for a timezone."""
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from datetime import datetime
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# Simplified for example
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return f"Current time in {timezone}: {datetime.now().strftime('%H:%M:%S')}"
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# Basic workflow executors
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class UpperCase(Executor):
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"""Convert text to uppercase."""
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@handler
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async def to_upper(self, text: str, ctx: WorkflowContext[str]) -> None:
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"""Convert input to uppercase and forward to next executor."""
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result = text.upper()
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await ctx.send_message(result)
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class AddExclamation(Executor):
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"""Add exclamation mark to text."""
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@handler
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async def add_exclamation(self, text: str, ctx: WorkflowContext[Never, str]) -> None:
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"""Add exclamation and yield as workflow output."""
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result = f"{text}!"
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await ctx.yield_output(result)
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def main():
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"""Main function demonstrating in-memory entity registration."""
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# Setup logging
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logging.basicConfig(level=logging.INFO, format="%(message)s")
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logger = logging.getLogger(__name__)
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# Create Azure OpenAI chat client
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client = FoundryChatClient(
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model=os.environ["FOUNDRY_MODEL"],
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project_endpoint=os.environ.get("FOUNDRY_PROJECT_ENDPOINT"),
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credential=AzureCliCredential(),
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)
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# Create agents
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weather_assistant = Agent(
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name="weather-assistant",
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description="Provides weather information and time",
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instructions=(
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"You are a helpful weather and time assistant. Use the available tools to "
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"provide accurate weather information and current time for any location."
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),
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client=client,
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tools=[get_weather, get_time],
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)
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simple_agent = Agent(
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name="general-assistant",
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description="A simple conversational agent",
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instructions="You are a helpful assistant.",
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client=client,
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)
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# Create a basic workflow: Input -> UpperCase -> AddExclamation -> Output
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upper_executor = UpperCase(id="upper_case")
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exclaim_executor = AddExclamation(id="add_exclamation")
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basic_workflow = (
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WorkflowBuilder(
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name="Text Transformer",
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description="Simple 2-step workflow that converts text to uppercase and adds exclamation",
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start_executor=upper_executor,
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)
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.add_edge(upper_executor, exclaim_executor)
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.build()
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)
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# Collect entities for serving
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entities = [weather_assistant, simple_agent, basic_workflow]
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logger.info("Starting DevUI on http://localhost:8090")
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logger.info("Entities available:")
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logger.info(" - Agents: weather-assistant, general-assistant")
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logger.info(" - Workflow: basic text transformer (uppercase + exclamation)")
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# Launch server with auto-generated entity IDs
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serve(entities=entities, port=8090, auto_open=True)
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if __name__ == "__main__":
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main()
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