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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
This sample demonstrates how to use agent operations with custom functions from
the Azure Agents service using a synchronous client.
USAGE:
python sample_agents_functions.py
Before running the sample:
pip install azure-ai-agents azure-identity
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 os, time, sys
from azure.ai.agents import AgentsClient
from azure.identity import DefaultAzureCredential
from azure.ai.agents.models import (
FunctionTool,
ListSortOrder,
RequiredFunctionToolCall,
SubmitToolOutputsAction,
ToolOutput,
)
current_path = os.path.dirname(__file__)
root_path = os.path.abspath(os.path.join(current_path, os.pardir, os.pardir))
if root_path not in sys.path:
sys.path.insert(0, root_path)
from samples.utils.user_functions import user_functions
agents_client = AgentsClient(
endpoint=os.environ["PROJECT_ENDPOINT"],
credential=DefaultAzureCredential(),
)
# Initialize function tool with user functions
functions = FunctionTool(functions=user_functions)
with agents_client:
# Create an agent and run user's request with function calls
agent = agents_client.create_agent(
model=os.environ["MODEL_DEPLOYMENT_NAME"],
name="my-agent",
instructions="You are a helpful agent",
tools=functions.definitions,
)
print(f"Created agent, ID: {agent.id}")
thread = agents_client.threads.create()
print(f"Created thread, ID: {thread.id}")
message = agents_client.messages.create(
thread_id=thread.id,
role="user",
content="Hello, send an email with the datetime and weather information in New York?",
)
print(f"Created message, ID: {message.id}")
run = agents_client.runs.create(thread_id=thread.id, agent_id=agent.id)
print(f"Created run, ID: {run.id}")
while run.status in ["queued", "in_progress", "requires_action"]:
time.sleep(1)
run = 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")
agents_client.runs.cancel(thread_id=thread.id, run_id=run.id)
break
tool_outputs = []
for tool_call in tool_calls:
if isinstance(tool_call, RequiredFunctionToolCall):
try:
print(f"Executing tool call: {tool_call}")
output = functions.execute(tool_call)
tool_outputs.append(
ToolOutput(
tool_call_id=tool_call.id,
output=output,
)
)
except Exception as e:
print(f"Error executing tool_call {tool_call.id}: {e}")
print(f"Tool outputs: {tool_outputs}")
if tool_outputs:
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
agents_client.delete_agent(agent.id)
print("Deleted agent")
# Fetch and log all messages
messages = agents_client.messages.list(thread_id=thread.id, order=ListSortOrder.ASCENDING)
for msg in messages:
if msg.text_messages:
last_text = msg.text_messages[-1]
print(f"{msg.role}: {last_text.text.value}")
|
