mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
6acab3d1d6
* Refactor Anthropic model option and provider clients Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Anthropic skills sample typing Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * undo sample mypy * Retry CI after transient external failures Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback on model option merging Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address Anthropic compatibility review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * moved all to `model` * fixes for azure ai search * Python: standardize remaining sample env var names Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix foundry-local pyright compatibility Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated env vars in cicd --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
|
|
|
|
import asyncio
|
|
from typing import Annotated
|
|
|
|
from agent_framework import Agent, tool
|
|
from agent_framework.amazon import BedrockChatClient
|
|
from dotenv import load_dotenv
|
|
from pydantic import Field
|
|
|
|
# Load environment variables from .env file
|
|
load_dotenv()
|
|
|
|
"""
|
|
Bedrock Chat Client Example
|
|
|
|
This sample demonstrates using `BedrockChatClient` with an agent and a simple tool.
|
|
|
|
Environment variables used:
|
|
- `BEDROCK_CHAT_MODEL`
|
|
- `BEDROCK_REGION` (defaults to `us-east-1` if unset)
|
|
- AWS credentials via standard variables (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`,
|
|
optional `AWS_SESSION_TOKEN`)
|
|
"""
|
|
|
|
|
|
# NOTE: approval_mode="never_require" is for sample brevity.
|
|
# Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py
|
|
# and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
|
|
@tool(approval_mode="never_require")
|
|
def get_weather(
|
|
city: Annotated[str, Field(description="The city to get the weather for.")],
|
|
) -> dict[str, str]:
|
|
"""Return a mock forecast for the requested city."""
|
|
normalized_city = city.strip() or "New York"
|
|
return {"city": normalized_city, "forecast": "72F and sunny"}
|
|
|
|
|
|
async def main() -> None:
|
|
"""Run a Bedrock-backed agent with one tool call."""
|
|
# 1. Create an agent with Bedrock chat client and one tool.
|
|
agent = Agent(
|
|
client=BedrockChatClient(),
|
|
instructions="You are a concise travel assistant.",
|
|
name="BedrockWeatherAgent",
|
|
tool_choice="auto",
|
|
tools=[get_weather],
|
|
)
|
|
|
|
# 2. Run a query that uses the weather tool.
|
|
query = "Use the weather tool to check the forecast for New York."
|
|
print(f"User: {query}")
|
|
response = await agent.run(query)
|
|
print(f"Assistant: {response.text}")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
asyncio.run(main())
|
|
|
|
|
|
"""
|
|
Sample output:
|
|
User: Use the weather tool to check the forecast for New York.
|
|
Assistant: The forecast for New York is 72F and sunny.
|
|
"""
|