1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
|
# pylint: disable=line-too-long,useless-suppression
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
This sample demonstrates how to use agents with Logic Apps to execute the task of sending an email.
PREREQUISITES:
1) Create a Logic App within the same resource group as your Azure AI Project in Azure Portal
2) To configure your Logic App to send emails, you must include an HTTP request trigger that is
configured to accept JSON with 'to', 'subject', and 'body'. The guide to creating a Logic App Workflow
can be found here:
https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/agents-logic-apps#create-logic-apps-workflows-for-function-calling
USAGE:
python sample_agents_logic_apps.py
Before running the sample:
pip install azure-ai-projects azure-ai-agents azure-identity azure-mgmt-logic
Set this 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.
Replace the following values in the sample with your own values:
1) <LOGIC_APP_NAME> - The name of the Logic App you created.
2) <TRIGGER_NAME> - The name of the trigger in the Logic App you created (the default name for HTTP
triggers in the Azure Portal is "When_a_HTTP_request_is_received").
3) <RECIPIENT_EMAIL> - The email address of the recipient.
"""
import os
import sys
from typing import Set
from azure.ai.projects import AIProjectClient
from azure.ai.agents.models import ListSortOrder, ToolSet, FunctionTool
from azure.identity import DefaultAzureCredential
# Add package directory to sys.path to import user_functions
current_dir = os.path.dirname(os.path.abspath(__file__))
package_dir = os.path.abspath(os.path.join(current_dir, os.pardir, os.pardir))
if package_dir not in sys.path:
sys.path.insert(0, package_dir)
from samples.utils.user_functions import fetch_current_datetime
# Import AzureLogicAppTool and the function factory from user_logic_apps
from utils.user_logic_apps import AzureLogicAppTool, create_send_email_function
# Create the agents client
project_client = AIProjectClient(
endpoint=os.environ["PROJECT_ENDPOINT"],
credential=DefaultAzureCredential(),
)
# [START register_logic_app]
# Extract subscription and resource group from the project scope
subscription_id = os.environ["SUBSCRIPTION_ID"]
resource_group = os.environ["resource_group_name"]
# Logic App details
logic_app_name = "<LOGIC_APP_NAME>"
trigger_name = "<TRIGGER_NAME>"
# Create and initialize AzureLogicAppTool utility
logic_app_tool = AzureLogicAppTool(subscription_id, resource_group)
logic_app_tool.register_logic_app(logic_app_name, trigger_name)
print(f"Registered logic app '{logic_app_name}' with trigger '{trigger_name}'.")
# Create the specialized "send_email_via_logic_app" function for your agent tools
send_email_func = create_send_email_function(logic_app_tool, logic_app_name)
# Prepare the function tools for the agent
functions_to_use: Set = {
fetch_current_datetime,
send_email_func, # This references the AzureLogicAppTool instance via closure
}
# [END register_logic_app]
with project_client:
agents_client = project_client.agents
# Create an agent
functions = FunctionTool(functions=functions_to_use)
toolset = ToolSet()
toolset.add(functions)
agents_client.enable_auto_function_calls(toolset)
agent = agents_client.create_agent(
model=os.environ["MODEL_DEPLOYMENT_NAME"],
name="SendEmailAgent",
instructions="You are a specialized agent for sending emails.",
toolset=toolset,
)
print(f"Created agent, ID: {agent.id}")
# Create a thread for communication
thread = agents_client.threads.create()
print(f"Created thread, ID: {thread.id}")
# Create a message in the thread
message = agents_client.messages.create(
thread_id=thread.id,
role="user",
content="Hello, please send an email to <RECIPIENT_EMAIL> with the date and time in '%Y-%m-%d %H:%M:%S' format.",
)
print(f"Created message, ID: {message.id}")
# Create and process an agent run in the thread
run = agents_client.runs.create_and_process(thread_id=thread.id, agent_id=agent.id)
print(f"Run finished with status: {run.status}")
if run.status == "failed":
print(f"Run failed: {run.last_error}")
# 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}")
|
