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* Fix HandoffBuilder dropping function-level middleware when cloning agents (#5173) _clone_chat_agent() was using agent.agent_middleware (agent-level only) instead of agent.middleware (all types), which silently dropped any function middleware registered on the original agent. Changed to use agent.middleware to preserve all middleware types (agent, function, and chat) during cloning. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix HandoffBuilder dropping function-level middleware when cloning agents Fixes #5173 * Fix false-positive middleware regression test (#5173) The test used isinstance(m, FunctionMiddleware) which matched _AutoHandoffMiddleware (always appended during build) instead of the user's @function_middleware decorator. Assert directly that tracking_middleware is present in the cloned agent's middleware list. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback for #5173: Python: [Bug]: HandoffBuilder drops function-level middleware when cloning agents --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
3c31ac28b5
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Agent Framework Orchestrations
Orchestration patterns for Microsoft Agent Framework. This package provides high-level builders for common multi-agent workflow patterns.
Installation
pip install agent-framework-orchestrations --pre
Orchestration Patterns
SequentialBuilder
Chain agents/executors in sequence, passing conversation context along:
from agent_framework.orchestrations import SequentialBuilder
workflow = SequentialBuilder(participants=[agent1, agent2, agent3]).build()
ConcurrentBuilder
Fan-out to multiple agents in parallel, then aggregate results:
from agent_framework.orchestrations import ConcurrentBuilder
workflow = ConcurrentBuilder(participants=[agent1, agent2, agent3]).build()
HandoffBuilder
Decentralized agent routing where agents decide handoff targets:
from agent_framework.orchestrations import HandoffBuilder
workflow = (
HandoffBuilder()
.participants([triage, billing, support])
.with_start_agent(triage)
.build()
)
GroupChatBuilder
Orchestrator-directed multi-agent conversations:
from agent_framework.orchestrations import GroupChatBuilder
workflow = GroupChatBuilder(
participants=[agent1, agent2],
selection_func=my_selector,
).build()
MagenticBuilder
Sophisticated multi-agent orchestration using the Magentic One pattern:
from agent_framework.orchestrations import MagenticBuilder
workflow = MagenticBuilder(
participants=[researcher, writer, reviewer],
manager_agent=manager_agent,
).build()
Documentation
For more information, see the Agent Framework documentation.