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>
80 lines
3.0 KiB
Python
80 lines
3.0 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from typing import cast
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from agent_framework import Message
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from agent_framework.azure import AzureOpenAIChatClient
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from agent_framework.orchestrations import SequentialBuilder
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from azure.identity import AzureCliCredential
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"""
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Sample: Sequential workflow (agent-focused API) with shared conversation context
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Build a high-level sequential workflow using SequentialBuilder and two domain agents.
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The shared conversation (list[Message]) flows through each participant. Each agent
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appends its assistant message to the context. The workflow outputs the final conversation
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list when complete.
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Note on internal adapters:
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- Sequential orchestration includes small adapter nodes for input normalization
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("input-conversation"), agent-response conversion ("to-conversation:<participant>"),
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and completion ("complete"). These may appear as ExecutorInvoke/Completed events in
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the stream—similar to how concurrent orchestration includes a dispatcher/aggregator.
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You can safely ignore them when focusing on agent progress.
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Prerequisites:
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- Azure OpenAI access configured for AzureOpenAIChatClient (use az login + env vars)
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"""
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async def main() -> None:
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# 1) Create agents
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client = AzureOpenAIChatClient(credential=AzureCliCredential())
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writer = client.as_agent(
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instructions=("You are a concise copywriter. Provide a single, punchy marketing sentence based on the prompt."),
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name="writer",
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)
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reviewer = client.as_agent(
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instructions=("You are a thoughtful reviewer. Give brief feedback on the previous assistant message."),
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name="reviewer",
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)
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# 2) Build sequential workflow: writer -> reviewer
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workflow = SequentialBuilder(participants=[writer, reviewer]).build()
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# 3) Run and collect outputs
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outputs: list[list[Message]] = []
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async for event in workflow.run("Write a tagline for a budget-friendly eBike.", stream=True):
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if event.type == "output":
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outputs.append(cast(list[Message], event.data))
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if outputs:
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print("===== Final Conversation =====")
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for i, msg in enumerate(outputs[-1], start=1):
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name = msg.author_name or ("assistant" if msg.role == "assistant" else "user")
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print(f"{'-' * 60}\n{i:02d} [{name}]\n{msg.text}")
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"""
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Sample Output:
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===== Final Conversation =====
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------------------------------------------------------------
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01 [user]
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Write a tagline for a budget-friendly eBike.
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------------------------------------------------------------
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02 [writer]
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Ride farther, spend less—your affordable eBike adventure starts here.
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------------------------------------------------------------
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03 [reviewer]
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This tagline clearly communicates affordability and the benefit of extended travel, making it
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appealing to budget-conscious consumers. It has a friendly and motivating tone, though it could
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be slightly shorter for more punch. Overall, a strong and effective suggestion!
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"""
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if __name__ == "__main__":
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asyncio.run(main())
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