mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Eduard van Valkenburg
0521f5bed8
* [BREAKING] Rename ChatAgent -> Agent, ChatMessage -> Message, ChatClientProtocol -> SupportsChatGetResponse Simplify the public API by removing redundant 'Chat' prefix from core types: - ChatAgent -> Agent - RawChatAgent -> RawAgent - ChatMessage -> Message - ChatClientProtocol -> SupportsChatGetResponse Also renamed internal WorkflowMessage (was Message in _runner_context) to avoid collision. No backward compatibility aliases - this is a clean breaking change. * [BREAKING] Rename Agent chat_client parameter to client * Fix rebase issues: WorkflowMessage references and broken markdown links * Fix formatting and lint issues from code quality checks * Fix import ordering in workflow sample files * fixed rebase * Fix test failures: use WorkflowMessage and A2AMessage after ChatMessage→Message rename - Replace Message(data=..., source_id=...) with WorkflowMessage(...) in workflow tests - Fix isinstance check in A2A agent to use A2AMessage instead of Message - Fix import in test_workflow_observability.py (Message→WorkflowMessage) * Fix lint, fmt, and sample errors after ChatMessage→Message rename - Auto-fix 70+ ruff lint issues across samples (ChatMessage→Message refs) - Fix HostedVectorStoreContent→Content.from_hosted_vector_store in file search sample - Fix _normalize_messages→normalize_messages in custom agent sample - Fix context.terminate→raise MiddlewareTermination in middleware samples - Fix with_update_hook→with_transform_hook in override middleware sample - Add TOptions_co import back to custom_chat_client sample - Add noqa for FastAPI File() default in chatkit sample - Fix B023 loop variable capture in weather agent sample * fix: update Agent constructor calls from chat_client to client in declaration-only tool tests * fix: add register_cleanup to devui lazy-loading proxy and type stub * fixed tests and updated new pieces * fix agui typevar * fix merge errors * fix merge conflicts * fiux merge * Remove unused links --------- Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
81 lines
2.5 KiB
Python
81 lines
2.5 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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# ruff: noqa
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from __future__ import annotations
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import asyncio
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from random import randint
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from typing import TYPE_CHECKING, Annotated
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from agent_framework_foundry_local import FoundryLocalClient
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if TYPE_CHECKING:
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from agent_framework import Agent
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"""
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This sample demonstrates basic usage of the FoundryLocalClient.
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Shows both streaming and non-streaming responses with function tools.
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Running this sample the first time will be slow, as the model needs to be
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downloaded and initialized.
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Also, not every model supports function calling, so be sure to check the
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model capabilities in the Foundry catalog, or pick one from the list printed
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when running this sample.
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"""
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def get_weather(
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location: Annotated[str, "The location to get the weather for."],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
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async def non_streaming_example(agent: Agent) -> None:
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"""Example of non-streaming response (get the complete result at once)."""
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print("=== Non-streaming Response Example ===")
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query = "What's the weather like in Seattle?"
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print(f"User: {query}")
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result = await agent.run(query)
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print(f"Agent: {result}\n")
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async def streaming_example(agent: Agent) -> None:
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"""Example of streaming response (get results as they are generated)."""
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print("=== Streaming Response Example ===")
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query = "What's the weather like in Amsterdam?"
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print(f"User: {query}")
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print("Agent: ", end="", flush=True)
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async for chunk in agent.run(query, stream=True):
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if chunk.text:
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print(chunk.text, end="", flush=True)
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print("\n")
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async def main() -> None:
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print("=== Basic Foundry Local Client Agent Example ===")
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client = FoundryLocalClient(model_id="phi-4-mini")
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print(f"Client Model ID: {client.model_id}\n")
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print("Other available models (tool calling supported only):")
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for model in client.manager.list_catalog_models():
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if model.supports_tool_calling:
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print(
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f"- {model.alias} for {model.task} - id={model.id} - {(model.file_size_mb / 1000):.2f} GB - {model.license}"
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)
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agent = client.as_agent(
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name="LocalAgent",
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instructions="You are a helpful agent.",
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tools=get_weather,
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)
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await non_streaming_example(agent)
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await streaming_example(agent)
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if __name__ == "__main__":
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asyncio.run(main())
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