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agent-framework/python/samples/getting_started/agents/anthropic/anthropic_basic.py
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Eduard van Valkenburg a7d924a7d2 Python: [BREAKING] changed AIFunction to FunctionTool and @ai_function to @tool (#3413)
* changed AIFunction to FunctionTool and @ai_function to @tool

* test and mypy fixes

* mypy fix

* switch function tool to always_require

* fix noop

* fix github copilot imports

* test fixes

* fix ollama test

* fixes for tests

* fix tests

* reverted change to always_require and extended timeout

* fix test
2026-01-28 14:53:53 +00:00

72 lines
2.1 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import asyncio
from random import randint
from typing import Annotated
from agent_framework.anthropic import AnthropicClient
from agent_framework import tool
"""
Anthropic Chat Agent Example
This sample demonstrates using Anthropic with an agent and a single custom tool.
"""
# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
@tool(approval_mode="never_require")
def get_weather(
location: Annotated[str, "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."
async def non_streaming_example() -> None:
"""Example of non-streaming response (get the complete result at once)."""
print("=== Non-streaming Response Example ===")
agent = AnthropicClient(
).as_agent(
name="WeatherAgent",
instructions="You are a helpful weather agent.",
tools=get_weather,
)
query = "What's the weather like in Seattle?"
print(f"User: {query}")
result = await agent.run(query)
print(f"Result: {result}\n")
async def streaming_example() -> None:
"""Example of streaming response (get results as they are generated)."""
print("=== Streaming Response Example ===")
agent = AnthropicClient(
).as_agent(
name="WeatherAgent",
instructions="You are a helpful weather agent.",
tools=get_weather,
)
query = "What's the weather like in Portland and in Paris?"
print(f"User: {query}")
print("Agent: ", end="", flush=True)
async for chunk in agent.run_stream(query):
if chunk.text:
print(chunk.text, end="", flush=True)
print("\n")
async def main() -> None:
print("=== Anthropic Example ===")
await streaming_example()
await non_streaming_example()
if __name__ == "__main__":
asyncio.run(main())