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* Fix #3613 message typing across chat and agents * Address #3613 review feedback and sample input style * refactor: use shared AgentRunMessages aliases (#3613) * refactor: rename agent run input aliases for #3613 * samples: inline image content in run calls * core: export AgentRunInputs from package init * core: use explicit init re-exports without __all__ * updated logging and inits * Fix core mypy export and samples XML note * Remove AgentRunInputsOrNone and dedupe loggers * Remove prepare_messages helper * fix integration tests
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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.