forked from microsoft/agent-framework
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path02_add_tools.py
More file actions
58 lines (44 loc) · 1.64 KB
/
02_add_tools.py
File metadata and controls
58 lines (44 loc) · 1.64 KB
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
# Copyright (c) Microsoft. All rights reserved.
import asyncio
from random import randint
from typing import Annotated
from agent_framework import Agent, tool
from agent_framework.foundry import FoundryChatClient
from azure.identity import AzureCliCredential
from pydantic import Field
"""
Add Tools — Give your agent a function tool
This sample shows how to define a function tool with the @tool decorator
and wire it into an agent so the model can call it.
"""
# <define_tool>
# NOTE: approval_mode="never_require" is for sample brevity.
# Use "always_require" in production for user confirmation before tool execution.
@tool(approval_mode="never_require")
def get_weather(
location: Annotated[str, Field(description="The location to get the weather for.")],
) -> str:
"""Get the weather for a given location."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
# </define_tool>
async def main() -> None:
client = FoundryChatClient(
project_endpoint="https://your-project.services.ai.azure.com",
model="gpt-4o",
credential=AzureCliCredential(),
)
# <create_agent_with_tools>
agent = Agent(
client=client,
name="WeatherAgent",
instructions="You are a helpful weather agent. Use the get_weather tool to answer questions.",
tools=[get_weather],
)
# </create_agent_with_tools>
# <run_agent>
result = await agent.run("What's the weather like in Seattle?")
print(f"Agent: {result}")
# </run_agent>
if __name__ == "__main__":
asyncio.run(main())