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* fixes * fixes * Python: bump package versions for 1.4.0 release Cuts the python-1.4.0 release. MINOR bump on the released cohort (agent-framework, agent-framework-core, agent-framework-openai, agent-framework-foundry: 1.3.0 -> 1.4.0), driven by breaking changes in experimental skills API and new features. All 21 beta packages stamp 1.0.0b260514, all 3 alpha packages stamp 1.0.0a260514, and ag-ui remains at 1.0.0rc1 (freshly promoted). Date stamp reflects 2026-05-14 Pacific. - Released cohort: 1.3.0 -> 1.4.0 - Beta packages (21): 1.0.0b260507 -> 1.0.0b260514 - Alpha packages (3): 1.0.0a260507 -> 1.0.0a260514 - ag-ui: stays at 1.0.0rc1 (dep bound updated only) - Inter-package dependency lower bounds updated (>=1.3.0 -> >=1.4.0) - Fix chatkit StructuredInputItem exhaustiveness for openai-chatkit 1.6.4 - Update CHANGELOG compare links - uv.lock refreshed Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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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.