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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_agents_functions_async.py
DESCRIPTION:
This sample demonstrates how to use agent operations with custom functions from
the Azure Agents service using a asynchronous client.
USAGE:
python sample_agents_functions_async.py
Before running the sample:
pip install azure-ai-projects azure-ai-agents azure-identity aiohttp
Set these environment variables with your own values:
1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
page of your Azure AI Foundry portal.
2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
the "Models + endpoints" tab in your Azure AI Foundry project.
"""
import asyncio
import time
import os
from azure.ai.projects.aio import AIProjectClient
from azure.ai.agents.models import (
AsyncFunctionTool,
AsyncToolSet,
RequiredFunctionToolCall,
SubmitToolOutputsAction,
ToolOutput,
ListSortOrder,
MessageTextContent,
)
from azure.identity.aio import DefaultAzureCredential
from utils.user_async_functions import user_async_functions
async def main() -> None:
project_client = AIProjectClient(
endpoint=os.environ["PROJECT_ENDPOINT"],
credential=DefaultAzureCredential(),
)
async with project_client:
agents_client = project_client.agents
# Initialize agent functions
functions = AsyncFunctionTool(functions=user_async_functions)
toolset = AsyncToolSet()
toolset.add(functions)
# Create agent
agent = await agents_client.create_agent(
model=os.environ["MODEL_DEPLOYMENT_NAME"],
name="my-agent",
instructions="You are helpful agent",
tools=functions.definitions,
)
print(f"Created agent, agent ID: {agent.id}")
# Create thread for communication
thread = await agents_client.threads.create()
print(f"Created thread, ID: {thread.id}")
# Create and send message
message = await agents_client.messages.create(
thread_id=thread.id, role="user", content="Hello, what's the time?"
)
print(f"Created message, ID: {message.id}")
# Create and run agent task
run = await agents_client.runs.create(thread_id=thread.id, agent_id=agent.id)
print(f"Created run, ID: {run.id}")
# Polling loop for run status
while run.status in ["queued", "in_progress", "requires_action"]:
time.sleep(4)
run = await agents_client.runs.get(thread_id=thread.id, run_id=run.id)
if run.status == "requires_action" and isinstance(run.required_action, SubmitToolOutputsAction):
tool_calls = run.required_action.submit_tool_outputs.tool_calls
if not tool_calls:
print("No tool calls provided - cancelling run")
await agents_client.runs.cancel(thread_id=thread.id, run_id=run.id)
break
tool_outputs = await toolset.execute_tool_calls(tool_calls)
print(f"Tool outputs: {tool_outputs}")
if tool_outputs:
await agents_client.runs.submit_tool_outputs(
thread_id=thread.id, run_id=run.id, tool_outputs=tool_outputs
)
print(f"Current run status: {run.status}")
print(f"Run completed with status: {run.status}")
# Delete the agent when done
await agents_client.delete_agent(agent.id)
print("Deleted agent")
# Fetch and log messages
messages = agents_client.messages.list(thread_id=thread.id, order=ListSortOrder.ASCENDING)
async for msg in messages:
last_part = msg.content[-1]
if isinstance(last_part, MessageTextContent):
print(f"{msg.role}: {last_part.text.value}")
if __name__ == "__main__":
asyncio.run(main())
|
