[BREAKING] Python: Move orchestrations to dedicated package (#3685)

* Move orchestrations to dedicated package

* Merge main

* Fix markdown links

* Fix links
This commit is contained in:
Evan Mattson
2026-02-05 03:05:13 +00:00
committed by GitHub
parent 10afb86213
commit 0daa7700c6
47 changed files with 1197 additions and 712 deletions
@@ -12,13 +12,13 @@ from agent_framework import (
ChatMessage,
ChatMessageStore,
Content,
SequentialBuilder,
WorkflowOutputEvent,
WorkflowRunState,
WorkflowStatusEvent,
)
from agent_framework._workflows._agent_executor import AgentExecutorResponse
from agent_framework._workflows._checkpoint import InMemoryCheckpointStorage
from agent_framework.orchestrations import SequentialBuilder
class _CountingAgent(BaseAgent):
@@ -1,550 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
from typing import Any, cast
import pytest
from typing_extensions import Never
from agent_framework import (
AgentExecutorRequest,
AgentExecutorResponse,
AgentResponse,
ChatMessage,
ConcurrentBuilder,
Executor,
WorkflowContext,
WorkflowOutputEvent,
WorkflowRunState,
WorkflowStatusEvent,
handler,
)
from agent_framework._workflows._checkpoint import InMemoryCheckpointStorage
class _FakeAgentExec(Executor):
"""Test executor that mimics an agent by emitting an AgentExecutorResponse.
It takes the incoming AgentExecutorRequest, produces a single assistant message
with the configured reply text, and sends an AgentExecutorResponse that includes
full_conversation (the original user prompt followed by the assistant message).
"""
def __init__(self, id: str, reply_text: str) -> None:
super().__init__(id)
self._reply_text = reply_text
@handler
async def run(self, request: AgentExecutorRequest, ctx: WorkflowContext[AgentExecutorResponse]) -> None:
response = AgentResponse(messages=ChatMessage("assistant", text=self._reply_text))
full_conversation = list(request.messages) + list(response.messages)
await ctx.send_message(AgentExecutorResponse(self.id, response, full_conversation=full_conversation))
def test_concurrent_builder_rejects_empty_participants() -> None:
with pytest.raises(ValueError):
ConcurrentBuilder().participants([])
def test_concurrent_builder_rejects_duplicate_executors() -> None:
a = _FakeAgentExec("dup", "A")
b = _FakeAgentExec("dup", "B") # same executor id
with pytest.raises(ValueError):
ConcurrentBuilder().participants([a, b])
def test_concurrent_builder_rejects_duplicate_executors_from_factories() -> None:
"""Test that duplicate executor IDs from factories are detected at build time."""
def create_dup1() -> Executor:
return _FakeAgentExec("dup", "A")
def create_dup2() -> Executor:
return _FakeAgentExec("dup", "B") # same executor id
builder = ConcurrentBuilder().register_participants([create_dup1, create_dup2])
with pytest.raises(ValueError, match="Duplicate executor ID 'dup' detected in workflow."):
builder.build()
def test_concurrent_builder_rejects_mixed_participants_and_factories() -> None:
"""Test that mixing .participants() and .register_participants() raises an error."""
# Case 1: participants first, then register_participants
with pytest.raises(ValueError, match="Cannot mix .participants"):
(
ConcurrentBuilder()
.participants([_FakeAgentExec("a", "A")])
.register_participants([lambda: _FakeAgentExec("b", "B")])
)
# Case 2: register_participants first, then participants
with pytest.raises(ValueError, match="Cannot mix .participants"):
(
ConcurrentBuilder()
.register_participants([lambda: _FakeAgentExec("a", "A")])
.participants([_FakeAgentExec("b", "B")])
)
def test_concurrent_builder_rejects_multiple_calls_to_participants() -> None:
"""Test that multiple calls to .participants() raises an error."""
with pytest.raises(ValueError, match=r"participants\(\) has already been called"):
(ConcurrentBuilder().participants([_FakeAgentExec("a", "A")]).participants([_FakeAgentExec("b", "B")]))
def test_concurrent_builder_rejects_multiple_calls_to_register_participants() -> None:
"""Test that multiple calls to .register_participants() raises an error."""
with pytest.raises(ValueError, match=r"register_participants\(\) has already been called"):
(
ConcurrentBuilder()
.register_participants([lambda: _FakeAgentExec("a", "A")])
.register_participants([lambda: _FakeAgentExec("b", "B")])
)
async def test_concurrent_default_aggregator_emits_single_user_and_assistants() -> None:
# Three synthetic agent executors
e1 = _FakeAgentExec("agentA", "Alpha")
e2 = _FakeAgentExec("agentB", "Beta")
e3 = _FakeAgentExec("agentC", "Gamma")
wf = ConcurrentBuilder().participants([e1, e2, e3]).build()
completed = False
output: list[ChatMessage] | None = None
async for ev in wf.run_stream("prompt: hello world"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = cast(list[ChatMessage], ev.data)
if completed and output is not None:
break
assert completed
assert output is not None
messages: list[ChatMessage] = output
# Expect one user message + one assistant message per participant
assert len(messages) == 1 + 3
assert messages[0].role == "user"
assert "hello world" in messages[0].text
assistant_texts = {m.text for m in messages[1:]}
assert assistant_texts == {"Alpha", "Beta", "Gamma"}
assert all(m.role == "assistant" for m in messages[1:])
async def test_concurrent_custom_aggregator_callback_is_used() -> None:
# Two synthetic agent executors for brevity
e1 = _FakeAgentExec("agentA", "One")
e2 = _FakeAgentExec("agentB", "Two")
async def summarize(results: list[AgentExecutorResponse]) -> str:
texts: list[str] = []
for r in results:
msgs: list[ChatMessage] = r.agent_response.messages
texts.append(msgs[-1].text if msgs else "")
return " | ".join(sorted(texts))
wf = ConcurrentBuilder().participants([e1, e2]).with_aggregator(summarize).build()
completed = False
output: str | None = None
async for ev in wf.run_stream("prompt: custom"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = cast(str, ev.data)
if completed and output is not None:
break
assert completed
assert output is not None
# Custom aggregator returns a string payload
assert isinstance(output, str)
assert output == "One | Two"
async def test_concurrent_custom_aggregator_sync_callback_is_used() -> None:
e1 = _FakeAgentExec("agentA", "One")
e2 = _FakeAgentExec("agentB", "Two")
# Sync callback with ctx parameter (should run via asyncio.to_thread)
def summarize_sync(results: list[AgentExecutorResponse], _ctx: WorkflowContext[Any]) -> str: # type: ignore[unused-argument]
texts: list[str] = []
for r in results:
msgs: list[ChatMessage] = r.agent_response.messages
texts.append(msgs[-1].text if msgs else "")
return " | ".join(sorted(texts))
wf = ConcurrentBuilder().participants([e1, e2]).with_aggregator(summarize_sync).build()
completed = False
output: str | None = None
async for ev in wf.run_stream("prompt: custom sync"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = cast(str, ev.data)
if completed and output is not None:
break
assert completed
assert output is not None
assert isinstance(output, str)
assert output == "One | Two"
def test_concurrent_custom_aggregator_uses_callback_name_for_id() -> None:
e1 = _FakeAgentExec("agentA", "One")
e2 = _FakeAgentExec("agentB", "Two")
def summarize(results: list[AgentExecutorResponse]) -> str: # type: ignore[override]
return str(len(results))
wf = ConcurrentBuilder().participants([e1, e2]).with_aggregator(summarize).build()
assert "summarize" in wf.executors
aggregator = wf.executors["summarize"]
assert aggregator.id == "summarize"
async def test_concurrent_with_aggregator_executor_instance() -> None:
"""Test with_aggregator using an Executor instance (not factory)."""
class CustomAggregator(Executor):
@handler
async def aggregate(self, results: list[AgentExecutorResponse], ctx: WorkflowContext[Never, str]) -> None:
texts: list[str] = []
for r in results:
msgs: list[ChatMessage] = r.agent_response.messages
texts.append(msgs[-1].text if msgs else "")
await ctx.yield_output(" & ".join(sorted(texts)))
e1 = _FakeAgentExec("agentA", "One")
e2 = _FakeAgentExec("agentB", "Two")
aggregator_instance = CustomAggregator(id="instance_aggregator")
wf = ConcurrentBuilder().participants([e1, e2]).with_aggregator(aggregator_instance).build()
completed = False
output: str | None = None
async for ev in wf.run_stream("prompt: instance test"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = cast(str, ev.data)
if completed and output is not None:
break
assert completed
assert output is not None
assert isinstance(output, str)
assert output == "One & Two"
async def test_concurrent_with_aggregator_executor_factory() -> None:
"""Test with_aggregator using an Executor factory."""
class CustomAggregator(Executor):
@handler
async def aggregate(self, results: list[AgentExecutorResponse], ctx: WorkflowContext[Never, str]) -> None:
texts: list[str] = []
for r in results:
msgs: list[ChatMessage] = r.agent_response.messages
texts.append(msgs[-1].text if msgs else "")
await ctx.yield_output(" | ".join(sorted(texts)))
e1 = _FakeAgentExec("agentA", "One")
e2 = _FakeAgentExec("agentB", "Two")
wf = (
ConcurrentBuilder()
.participants([e1, e2])
.register_aggregator(lambda: CustomAggregator(id="custom_aggregator"))
.build()
)
completed = False
output: str | None = None
async for ev in wf.run_stream("prompt: factory test"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = cast(str, ev.data)
if completed and output is not None:
break
assert completed
assert output is not None
assert isinstance(output, str)
assert output == "One | Two"
async def test_concurrent_with_aggregator_executor_factory_with_default_id() -> None:
"""Test with_aggregator using an Executor class directly as factory (with default __init__ parameters)."""
class CustomAggregator(Executor):
def __init__(self, id: str = "default_aggregator") -> None:
super().__init__(id)
@handler
async def aggregate(self, results: list[AgentExecutorResponse], ctx: WorkflowContext[Never, str]) -> None:
texts: list[str] = []
for r in results:
msgs: list[ChatMessage] = r.agent_response.messages
texts.append(msgs[-1].text if msgs else "")
await ctx.yield_output(" | ".join(sorted(texts)))
e1 = _FakeAgentExec("agentA", "One")
e2 = _FakeAgentExec("agentB", "Two")
wf = ConcurrentBuilder().participants([e1, e2]).register_aggregator(CustomAggregator).build()
completed = False
output: str | None = None
async for ev in wf.run_stream("prompt: factory test"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = cast(str, ev.data)
if completed and output is not None:
break
assert completed
assert output is not None
assert isinstance(output, str)
assert output == "One | Two"
def test_concurrent_builder_rejects_multiple_calls_to_with_aggregator() -> None:
"""Test that multiple calls to .with_aggregator() raises an error."""
def summarize(results: list[AgentExecutorResponse]) -> str: # type: ignore[override]
return str(len(results))
with pytest.raises(ValueError, match=r"with_aggregator\(\) has already been called"):
(ConcurrentBuilder().with_aggregator(summarize).with_aggregator(summarize))
def test_concurrent_builder_rejects_multiple_calls_to_register_aggregator() -> None:
"""Test that multiple calls to .register_aggregator() raises an error."""
class CustomAggregator(Executor):
pass
with pytest.raises(ValueError, match=r"register_aggregator\(\) has already been called"):
(
ConcurrentBuilder()
.register_aggregator(lambda: CustomAggregator(id="agg1"))
.register_aggregator(lambda: CustomAggregator(id="agg2"))
)
async def test_concurrent_checkpoint_resume_round_trip() -> None:
storage = InMemoryCheckpointStorage()
participants = (
_FakeAgentExec("agentA", "Alpha"),
_FakeAgentExec("agentB", "Beta"),
_FakeAgentExec("agentC", "Gamma"),
)
wf = ConcurrentBuilder().participants(list(participants)).with_checkpointing(storage).build()
baseline_output: list[ChatMessage] | None = None
async for ev in wf.run_stream("checkpoint concurrent"):
if isinstance(ev, WorkflowOutputEvent):
baseline_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
break
assert baseline_output is not None
checkpoints = await storage.list_checkpoints()
assert checkpoints
checkpoints.sort(key=lambda cp: cp.timestamp)
resume_checkpoint = next(
(cp for cp in checkpoints if (cp.metadata or {}).get("checkpoint_type") == "superstep"),
checkpoints[-1],
)
resumed_participants = (
_FakeAgentExec("agentA", "Alpha"),
_FakeAgentExec("agentB", "Beta"),
_FakeAgentExec("agentC", "Gamma"),
)
wf_resume = ConcurrentBuilder().participants(list(resumed_participants)).with_checkpointing(storage).build()
resumed_output: list[ChatMessage] | None = None
async for ev in wf_resume.run_stream(checkpoint_id=resume_checkpoint.checkpoint_id):
if isinstance(ev, WorkflowOutputEvent):
resumed_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state in (
WorkflowRunState.IDLE,
WorkflowRunState.IDLE_WITH_PENDING_REQUESTS,
):
break
assert resumed_output is not None
assert [m.role for m in resumed_output] == [m.role for m in baseline_output]
assert [m.text for m in resumed_output] == [m.text for m in baseline_output]
async def test_concurrent_checkpoint_runtime_only() -> None:
"""Test checkpointing configured ONLY at runtime, not at build time."""
storage = InMemoryCheckpointStorage()
agents = [_FakeAgentExec(id="agent1", reply_text="A1"), _FakeAgentExec(id="agent2", reply_text="A2")]
wf = ConcurrentBuilder().participants(agents).build()
baseline_output: list[ChatMessage] | None = None
async for ev in wf.run_stream("runtime checkpoint test", checkpoint_storage=storage):
if isinstance(ev, WorkflowOutputEvent):
baseline_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
break
assert baseline_output is not None
checkpoints = await storage.list_checkpoints()
assert checkpoints
checkpoints.sort(key=lambda cp: cp.timestamp)
resume_checkpoint = next(
(cp for cp in checkpoints if (cp.metadata or {}).get("checkpoint_type") == "superstep"),
checkpoints[-1],
)
resumed_agents = [_FakeAgentExec(id="agent1", reply_text="A1"), _FakeAgentExec(id="agent2", reply_text="A2")]
wf_resume = ConcurrentBuilder().participants(resumed_agents).build()
resumed_output: list[ChatMessage] | None = None
async for ev in wf_resume.run_stream(checkpoint_id=resume_checkpoint.checkpoint_id, checkpoint_storage=storage):
if isinstance(ev, WorkflowOutputEvent):
resumed_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state in (
WorkflowRunState.IDLE,
WorkflowRunState.IDLE_WITH_PENDING_REQUESTS,
):
break
assert resumed_output is not None
assert [m.role for m in resumed_output] == [m.role for m in baseline_output]
async def test_concurrent_checkpoint_runtime_overrides_buildtime() -> None:
"""Test that runtime checkpoint storage overrides build-time configuration."""
import tempfile
with tempfile.TemporaryDirectory() as temp_dir1, tempfile.TemporaryDirectory() as temp_dir2:
from agent_framework._workflows._checkpoint import FileCheckpointStorage
buildtime_storage = FileCheckpointStorage(temp_dir1)
runtime_storage = FileCheckpointStorage(temp_dir2)
agents = [_FakeAgentExec(id="agent1", reply_text="A1"), _FakeAgentExec(id="agent2", reply_text="A2")]
wf = ConcurrentBuilder().participants(agents).with_checkpointing(buildtime_storage).build()
baseline_output: list[ChatMessage] | None = None
async for ev in wf.run_stream("override test", checkpoint_storage=runtime_storage):
if isinstance(ev, WorkflowOutputEvent):
baseline_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
break
assert baseline_output is not None
buildtime_checkpoints = await buildtime_storage.list_checkpoints()
runtime_checkpoints = await runtime_storage.list_checkpoints()
assert len(runtime_checkpoints) > 0, "Runtime storage should have checkpoints"
assert len(buildtime_checkpoints) == 0, "Build-time storage should have no checkpoints when overridden"
def test_concurrent_builder_rejects_empty_participant_factories() -> None:
with pytest.raises(ValueError):
ConcurrentBuilder().register_participants([])
async def test_concurrent_builder_reusable_after_build_with_participants() -> None:
"""Test that the builder can be reused to build multiple identical workflows with participants()."""
e1 = _FakeAgentExec("agentA", "One")
e2 = _FakeAgentExec("agentB", "Two")
builder = ConcurrentBuilder().participants([e1, e2])
builder.build()
assert builder._participants[0] is e1 # type: ignore
assert builder._participants[1] is e2 # type: ignore
assert builder._participant_factories == [] # type: ignore
async def test_concurrent_builder_reusable_after_build_with_factories() -> None:
"""Test that the builder can be reused to build multiple workflows with register_participants()."""
call_count = 0
def create_agent_executor_a() -> Executor:
nonlocal call_count
call_count += 1
return _FakeAgentExec("agentA", "One")
def create_agent_executor_b() -> Executor:
nonlocal call_count
call_count += 1
return _FakeAgentExec("agentB", "Two")
builder = ConcurrentBuilder().register_participants([create_agent_executor_a, create_agent_executor_b])
# Build the first workflow
wf1 = builder.build()
assert builder._participants == [] # type: ignore
assert len(builder._participant_factories) == 2 # type: ignore
assert call_count == 2
# Build the second workflow
wf2 = builder.build()
assert call_count == 4
# Verify that the two workflows have different executor instances
assert wf1.executors["agentA"] is not wf2.executors["agentA"]
assert wf1.executors["agentB"] is not wf2.executors["agentB"]
async def test_concurrent_with_register_participants() -> None:
"""Test workflow creation using register_participants with factories."""
def create_agent1() -> Executor:
return _FakeAgentExec("agentA", "Alpha")
def create_agent2() -> Executor:
return _FakeAgentExec("agentB", "Beta")
def create_agent3() -> Executor:
return _FakeAgentExec("agentC", "Gamma")
wf = ConcurrentBuilder().register_participants([create_agent1, create_agent2, create_agent3]).build()
completed = False
output: list[ChatMessage] | None = None
async for ev in wf.run_stream("test prompt"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = cast(list[ChatMessage], ev.data)
if completed and output is not None:
break
assert completed
assert output is not None
messages: list[ChatMessage] = output
# Expect one user message + one assistant message per participant
assert len(messages) == 1 + 3
assert messages[0].role == "user"
assert "test prompt" in messages[0].text
assistant_texts = {m.text for m in messages[1:]}
assert assistant_texts == {"Alpha", "Beta", "Gamma"}
assert all(m.role == "assistant" for m in messages[1:])
@@ -16,13 +16,13 @@ from agent_framework import (
ChatMessage,
Content,
Executor,
SequentialBuilder,
WorkflowBuilder,
WorkflowContext,
WorkflowRunState,
WorkflowStatusEvent,
handler,
)
from agent_framework.orchestrations import SequentialBuilder
class _SimpleAgent(BaseAgent):
File diff suppressed because it is too large Load Diff
@@ -1,709 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
from collections.abc import AsyncIterable
from typing import Any, cast
from unittest.mock import AsyncMock, MagicMock
import pytest
from agent_framework import (
ChatAgent,
ChatMessage,
ChatResponse,
ChatResponseUpdate,
Content,
HandoffAgentUserRequest,
HandoffBuilder,
RequestInfoEvent,
WorkflowEvent,
WorkflowOutputEvent,
resolve_agent_id,
use_function_invocation,
)
@use_function_invocation
class MockChatClient:
"""Mock chat client for testing handoff workflows."""
additional_properties: dict[str, Any]
def __init__(
self,
name: str,
*,
handoff_to: str | None = None,
) -> None:
"""Initialize the mock chat client.
Args:
name: The name of the agent using this chat client.
handoff_to: The name of the agent to hand off to, or None for no handoff.
This is hardcoded for testing purposes so that the agent always attempts to hand off.
"""
self._name = name
self._handoff_to = handoff_to
self._call_index = 0
async def get_response(self, messages: Any, **kwargs: Any) -> ChatResponse:
contents = _build_reply_contents(self._name, self._handoff_to, self._next_call_id())
reply = ChatMessage(
role="assistant",
contents=contents,
)
return ChatResponse(messages=reply, response_id="mock_response")
def get_streaming_response(self, messages: Any, **kwargs: Any) -> AsyncIterable[ChatResponseUpdate]:
async def _stream() -> AsyncIterable[ChatResponseUpdate]:
contents = _build_reply_contents(self._name, self._handoff_to, self._next_call_id())
yield ChatResponseUpdate(contents=contents, role="assistant")
return _stream()
def _next_call_id(self) -> str | None:
if not self._handoff_to:
return None
call_id = f"{self._name}-handoff-{self._call_index}"
self._call_index += 1
return call_id
def _build_reply_contents(
agent_name: str,
handoff_to: str | None,
call_id: str | None,
) -> list[Content]:
contents: list[Content] = []
if handoff_to and call_id:
contents.append(
Content.from_function_call(
call_id=call_id, name=f"handoff_to_{handoff_to}", arguments={"handoff_to": handoff_to}
)
)
text = f"{agent_name} reply"
contents.append(Content.from_text(text=text))
return contents
class MockHandoffAgent(ChatAgent):
"""Mock agent that can hand off to another agent."""
def __init__(
self,
*,
name: str,
handoff_to: str | None = None,
) -> None:
"""Initialize the mock handoff agent.
Args:
name: The name of the agent.
handoff_to: The name of the agent to hand off to, or None for no handoff.
This is hardcoded for testing purposes so that the agent always attempts to hand off.
"""
super().__init__(chat_client=MockChatClient(name, handoff_to=handoff_to), name=name, id=name)
async def _drain(stream: AsyncIterable[WorkflowEvent]) -> list[WorkflowEvent]:
return [event async for event in stream]
async def test_handoff():
"""Test that agents can hand off to each other."""
# `triage` hands off to `specialist`, who then hands off to `escalation`.
# `escalation` has no handoff, so the workflow should request user input to continue.
triage = MockHandoffAgent(name="triage", handoff_to="specialist")
specialist = MockHandoffAgent(name="specialist", handoff_to="escalation")
escalation = MockHandoffAgent(name="escalation")
# Without explicitly defining handoffs, the builder will create connections
# between all agents.
workflow = (
HandoffBuilder(participants=[triage, specialist, escalation])
.with_start_agent(triage)
.with_termination_condition(lambda conv: sum(1 for m in conv if m.role == "user") >= 2)
.build()
)
# Start conversation - triage hands off to specialist then escalation
# escalation won't trigger a handoff, so the response from it will become
# a request for user input because autonomous mode is not enabled by default.
events = await _drain(workflow.run_stream("Need technical support"))
requests = [ev for ev in events if isinstance(ev, RequestInfoEvent)]
assert requests
assert len(requests) == 1
request = requests[0]
assert isinstance(request.data, HandoffAgentUserRequest)
assert request.source_executor_id == escalation.name
async def test_autonomous_mode_yields_output_without_user_request():
"""Ensure autonomous interaction mode yields output without requesting user input."""
triage = MockHandoffAgent(name="triage", handoff_to="specialist")
specialist = MockHandoffAgent(name="specialist")
workflow = (
HandoffBuilder(participants=[triage, specialist])
.with_start_agent(triage)
# Since specialist has no handoff, the specialist will be generating normal responses.
# With autonomous mode, this should continue until the termination condition is met.
.with_autonomous_mode(
agents=[specialist],
turn_limits={resolve_agent_id(specialist): 1},
)
# This termination condition ensures the workflow runs through both agents.
# First message is the user message to triage, second is triage's response, which
# is a handoff to specialist, third is specialist's response that should not request
# user input due to autonomous mode. Fourth message will come from the specialist
# again and will trigger termination.
.with_termination_condition(lambda conv: len(conv) >= 4)
.build()
)
events = await _drain(workflow.run_stream("Package arrived broken"))
requests = [ev for ev in events if isinstance(ev, RequestInfoEvent)]
assert not requests, "Autonomous mode should not request additional user input"
outputs = [ev for ev in events if isinstance(ev, WorkflowOutputEvent)]
assert outputs, "Autonomous mode should yield a workflow output"
final_conversation = outputs[-1].data
assert isinstance(final_conversation, list)
conversation_list = cast(list[ChatMessage], final_conversation)
assert any(msg.role == "assistant" and (msg.text or "").startswith("specialist reply") for msg in conversation_list)
async def test_autonomous_mode_resumes_user_input_on_turn_limit():
"""Autonomous mode should resume user input request when turn limit is reached."""
triage = MockHandoffAgent(name="triage", handoff_to="worker")
worker = MockHandoffAgent(name="worker")
workflow = (
HandoffBuilder(participants=[triage, worker])
.with_start_agent(triage)
.with_autonomous_mode(agents=[worker], turn_limits={resolve_agent_id(worker): 2})
.with_termination_condition(lambda conv: False)
.build()
)
events = await _drain(workflow.run_stream("Start"))
requests = [ev for ev in events if isinstance(ev, RequestInfoEvent)]
assert requests and len(requests) == 1, "Turn limit should force a user input request"
assert requests[0].source_executor_id == worker.name
def test_build_fails_without_start_agent():
"""Verify that build() raises ValueError when with_start_agent() was not called."""
triage = MockHandoffAgent(name="triage")
specialist = MockHandoffAgent(name="specialist")
with pytest.raises(ValueError, match=r"Must call with_start_agent\(...\) before building the workflow."):
HandoffBuilder(participants=[triage, specialist]).build()
def test_build_fails_without_participants():
"""Verify that build() raises ValueError when no participants are provided."""
with pytest.raises(
ValueError, match=r"No participants provided\. Call \.participants\(\) or \.register_participants\(\) first."
):
HandoffBuilder().build()
async def test_handoff_async_termination_condition() -> None:
"""Test that async termination conditions work correctly."""
termination_call_count = 0
async def async_termination(conv: list[ChatMessage]) -> bool:
nonlocal termination_call_count
termination_call_count += 1
user_count = sum(1 for msg in conv if msg.role == "user")
return user_count >= 2
coordinator = MockHandoffAgent(name="coordinator", handoff_to="worker")
worker = MockHandoffAgent(name="worker")
workflow = (
HandoffBuilder(participants=[coordinator, worker])
.with_start_agent(coordinator)
.with_termination_condition(async_termination)
.build()
)
events = await _drain(workflow.run_stream("First user message"))
requests = [ev for ev in events if isinstance(ev, RequestInfoEvent)]
assert requests
events = await _drain(
workflow.send_responses_streaming({requests[-1].request_id: [ChatMessage("user", ["Second user message"])]})
)
outputs = [ev for ev in events if isinstance(ev, WorkflowOutputEvent)]
assert len(outputs) == 1
final_conversation = outputs[0].data
assert isinstance(final_conversation, list)
final_conv_list = cast(list[ChatMessage], final_conversation)
user_messages = [msg for msg in final_conv_list if msg.role == "user"]
assert len(user_messages) == 2
assert termination_call_count > 0
async def test_tool_choice_preserved_from_agent_config():
"""Verify that agent-level tool_choice configuration is preserved and not overridden."""
# Create a mock chat client that records the tool_choice used
recorded_tool_choices: list[Any] = []
async def mock_get_response(messages: Any, options: dict[str, Any] | None = None, **kwargs: Any) -> ChatResponse:
if options:
recorded_tool_choices.append(options.get("tool_choice"))
return ChatResponse(
messages=[ChatMessage("assistant", ["Response"])],
response_id="test_response",
)
mock_client = MagicMock()
mock_client.get_response = AsyncMock(side_effect=mock_get_response)
# Create agent with specific tool_choice configuration via default_options
agent = ChatAgent(
chat_client=mock_client,
name="test_agent",
default_options={"tool_choice": {"mode": "required"}}, # type: ignore
)
# Run the agent
await agent.run("Test message")
# Verify tool_choice was preserved
assert len(recorded_tool_choices) > 0, "No tool_choice recorded"
last_tool_choice = recorded_tool_choices[-1]
assert last_tool_choice is not None, "tool_choice should not be None"
assert last_tool_choice == {"mode": "required"}, f"Expected 'required', got {last_tool_choice}"
# region Participant Factory Tests
def test_handoff_builder_rejects_empty_participant_factories():
"""Test that HandoffBuilder rejects empty participant_factories dictionary."""
# Empty factories are rejected immediately when calling participant_factories()
with pytest.raises(ValueError, match=r"participant_factories cannot be empty"):
HandoffBuilder().register_participants({})
with pytest.raises(
ValueError, match=r"No participants provided\. Call \.participants\(\) or \.register_participants\(\) first\."
):
HandoffBuilder(participant_factories={}).build()
def test_handoff_builder_rejects_mixing_participants_and_factories():
"""Test that mixing participants and participant_factories in __init__ raises an error."""
triage = MockHandoffAgent(name="triage")
with pytest.raises(ValueError, match="Cannot mix .participants"):
HandoffBuilder(participants=[triage], participant_factories={"triage": lambda: triage})
def test_handoff_builder_rejects_mixing_participants_and_participant_factories_methods():
"""Test that mixing .participants() and .participant_factories() raises an error."""
triage = MockHandoffAgent(name="triage")
# Case 1: participants first, then participant_factories
with pytest.raises(ValueError, match="Cannot mix .participants"):
HandoffBuilder(participants=[triage]).register_participants({
"specialist": lambda: MockHandoffAgent(name="specialist")
})
# Case 2: participant_factories first, then participants
with pytest.raises(ValueError, match="Cannot mix .participants"):
HandoffBuilder(participant_factories={"triage": lambda: triage}).participants([
MockHandoffAgent(name="specialist")
])
# Case 3: participants(), then participant_factories()
with pytest.raises(ValueError, match="Cannot mix .participants"):
HandoffBuilder().participants([triage]).register_participants({
"specialist": lambda: MockHandoffAgent(name="specialist")
})
# Case 4: participant_factories(), then participants()
with pytest.raises(ValueError, match="Cannot mix .participants"):
HandoffBuilder().register_participants({"triage": lambda: triage}).participants([
MockHandoffAgent(name="specialist")
])
# Case 5: mix during initialization
with pytest.raises(ValueError, match="Cannot mix .participants"):
HandoffBuilder(
participants=[triage], participant_factories={"specialist": lambda: MockHandoffAgent(name="specialist")}
)
def test_handoff_builder_rejects_multiple_calls_to_participant_factories():
"""Test that multiple calls to .participant_factories() raises an error."""
with pytest.raises(
ValueError, match=r"register_participants\(\) has already been called on this builder instance."
):
(
HandoffBuilder()
.register_participants({"agent1": lambda: MockHandoffAgent(name="agent1")})
.register_participants({"agent2": lambda: MockHandoffAgent(name="agent2")})
)
def test_handoff_builder_rejects_multiple_calls_to_participants():
"""Test that multiple calls to .participants() raises an error."""
with pytest.raises(ValueError, match="participants have already been assigned"):
(
HandoffBuilder()
.participants([MockHandoffAgent(name="agent1")])
.participants([MockHandoffAgent(name="agent2")])
)
def test_handoff_builder_rejects_instance_coordinator_with_factories():
"""Test that using an agent instance for set_coordinator when using factories raises an error."""
def create_triage() -> MockHandoffAgent:
return MockHandoffAgent(name="triage")
def create_specialist() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist")
# Create an agent instance
coordinator_instance = MockHandoffAgent(name="coordinator")
with pytest.raises(ValueError, match=r"Call participants\(\.\.\.\) before with_start_agent\(\.\.\.\)"):
(
HandoffBuilder(
participant_factories={"triage": create_triage, "specialist": create_specialist}
).with_start_agent(coordinator_instance) # Instance, not factory name
)
def test_handoff_builder_rejects_factory_name_coordinator_with_instances():
"""Test that using a factory name for set_coordinator when using instances raises an error."""
triage = MockHandoffAgent(name="triage")
specialist = MockHandoffAgent(name="specialist")
with pytest.raises(ValueError, match=r"Call register_participants\(...\) before with_start_agent\(...\)"):
(
HandoffBuilder(participants=[triage, specialist]).with_start_agent(
"triage"
) # String factory name, not instance
)
def test_handoff_builder_rejects_mixed_types_in_add_handoff_source():
"""Test that add_handoff rejects factory name source with instance-based participants."""
triage = MockHandoffAgent(name="triage")
specialist = MockHandoffAgent(name="specialist")
with pytest.raises(TypeError, match="Cannot mix factory names \\(str\\) and AgentProtocol.*instances"):
(
HandoffBuilder(participants=[triage, specialist])
.with_start_agent(triage)
.add_handoff("triage", [specialist]) # String source with instance participants
)
def test_handoff_builder_accepts_all_factory_names_in_add_handoff():
"""Test that add_handoff accepts all factory names when using participant_factories."""
def create_triage() -> MockHandoffAgent:
return MockHandoffAgent(name="triage")
def create_specialist_a() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist_a")
def create_specialist_b() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist_b")
# This should work - all strings with participant_factories
builder = (
HandoffBuilder(
participant_factories={
"triage": create_triage,
"specialist_a": create_specialist_a,
"specialist_b": create_specialist_b,
}
)
.with_start_agent("triage")
.add_handoff("triage", ["specialist_a", "specialist_b"])
)
workflow = builder.build()
assert "triage" in workflow.executors
assert "specialist_a" in workflow.executors
assert "specialist_b" in workflow.executors
def test_handoff_builder_accepts_all_instances_in_add_handoff():
"""Test that add_handoff accepts all instances when using participants."""
triage = MockHandoffAgent(name="triage", handoff_to="specialist_a")
specialist_a = MockHandoffAgent(name="specialist_a")
specialist_b = MockHandoffAgent(name="specialist_b")
# This should work - all instances with participants
builder = (
HandoffBuilder(participants=[triage, specialist_a, specialist_b])
.with_start_agent(triage)
.add_handoff(triage, [specialist_a, specialist_b])
)
workflow = builder.build()
assert "triage" in workflow.executors
assert "specialist_a" in workflow.executors
assert "specialist_b" in workflow.executors
async def test_handoff_with_participant_factories():
"""Test workflow creation using participant_factories."""
call_count = 0
def create_triage() -> MockHandoffAgent:
nonlocal call_count
call_count += 1
return MockHandoffAgent(name="triage", handoff_to="specialist")
def create_specialist() -> MockHandoffAgent:
nonlocal call_count
call_count += 1
return MockHandoffAgent(name="specialist")
workflow = (
HandoffBuilder(participant_factories={"triage": create_triage, "specialist": create_specialist})
.with_start_agent("triage")
.with_termination_condition(lambda conv: sum(1 for m in conv if m.role == "user") >= 2)
.build()
)
# Factories should be called during build
assert call_count == 2
events = await _drain(workflow.run_stream("Need help"))
requests = [ev for ev in events if isinstance(ev, RequestInfoEvent)]
assert requests
# Follow-up message
events = await _drain(
workflow.send_responses_streaming({requests[-1].request_id: [ChatMessage("user", ["More details"])]})
)
outputs = [ev for ev in events if isinstance(ev, WorkflowOutputEvent)]
assert outputs
async def test_handoff_participant_factories_reusable_builder():
"""Test that the builder can be reused to build multiple workflows with factories."""
call_count = 0
def create_triage() -> MockHandoffAgent:
nonlocal call_count
call_count += 1
return MockHandoffAgent(name="triage", handoff_to="specialist")
def create_specialist() -> MockHandoffAgent:
nonlocal call_count
call_count += 1
return MockHandoffAgent(name="specialist")
builder = HandoffBuilder(
participant_factories={"triage": create_triage, "specialist": create_specialist}
).with_start_agent("triage")
# Build first workflow
wf1 = builder.build()
assert call_count == 2
# Build second workflow
wf2 = builder.build()
assert call_count == 4
# Verify that the two workflows have different agent instances
assert wf1.executors["triage"] is not wf2.executors["triage"]
assert wf1.executors["specialist"] is not wf2.executors["specialist"]
async def test_handoff_with_participant_factories_and_add_handoff():
"""Test that .add_handoff() works correctly with participant_factories."""
def create_triage() -> MockHandoffAgent:
return MockHandoffAgent(name="triage", handoff_to="specialist_a")
def create_specialist_a() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist_a", handoff_to="specialist_b")
def create_specialist_b() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist_b")
workflow = (
HandoffBuilder(
participant_factories={
"triage": create_triage,
"specialist_a": create_specialist_a,
"specialist_b": create_specialist_b,
}
)
.with_start_agent("triage")
.add_handoff("triage", ["specialist_a", "specialist_b"])
.add_handoff("specialist_a", ["specialist_b"])
.with_termination_condition(lambda conv: sum(1 for m in conv if m.role == "user") >= 3)
.build()
)
# Start conversation - triage hands off to specialist_a
events = await _drain(workflow.run_stream("Initial request"))
requests = [ev for ev in events if isinstance(ev, RequestInfoEvent)]
assert requests
# Verify specialist_a executor exists and was called
assert "specialist_a" in workflow.executors
# Second user message - specialist_a hands off to specialist_b
events = await _drain(
workflow.send_responses_streaming({requests[-1].request_id: [ChatMessage("user", ["Need escalation"])]})
)
requests = [ev for ev in events if isinstance(ev, RequestInfoEvent)]
assert requests
# Verify specialist_b executor exists
assert "specialist_b" in workflow.executors
async def test_handoff_participant_factories_with_checkpointing():
"""Test checkpointing with participant_factories."""
from agent_framework._workflows._checkpoint import InMemoryCheckpointStorage
storage = InMemoryCheckpointStorage()
def create_triage() -> MockHandoffAgent:
return MockHandoffAgent(name="triage", handoff_to="specialist")
def create_specialist() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist")
workflow = (
HandoffBuilder(participant_factories={"triage": create_triage, "specialist": create_specialist})
.with_start_agent("triage")
.with_checkpointing(storage)
.with_termination_condition(lambda conv: sum(1 for m in conv if m.role == "user") >= 2)
.build()
)
# Run workflow and capture output
events = await _drain(workflow.run_stream("checkpoint test"))
requests = [ev for ev in events if isinstance(ev, RequestInfoEvent)]
assert requests
events = await _drain(
workflow.send_responses_streaming({requests[-1].request_id: [ChatMessage("user", ["follow up"])]})
)
outputs = [ev for ev in events if isinstance(ev, WorkflowOutputEvent)]
assert outputs, "Should have workflow output after termination condition is met"
# List checkpoints - just verify they were created
checkpoints = await storage.list_checkpoints()
assert checkpoints, "Checkpoints should be created during workflow execution"
def test_handoff_set_coordinator_with_factory_name():
"""Test that set_coordinator accepts factory name as string."""
def create_triage() -> MockHandoffAgent:
return MockHandoffAgent(name="triage")
def create_specialist() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist")
builder = HandoffBuilder(
participant_factories={"triage": create_triage, "specialist": create_specialist}
).with_start_agent("triage")
workflow = builder.build()
assert "triage" in workflow.executors
def test_handoff_add_handoff_with_factory_names():
"""Test that add_handoff accepts factory names as strings."""
def create_triage() -> MockHandoffAgent:
return MockHandoffAgent(name="triage", handoff_to="specialist_a")
def create_specialist_a() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist_a")
def create_specialist_b() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist_b")
builder = (
HandoffBuilder(
participant_factories={
"triage": create_triage,
"specialist_a": create_specialist_a,
"specialist_b": create_specialist_b,
}
)
.with_start_agent("triage")
.add_handoff("triage", ["specialist_a", "specialist_b"])
)
workflow = builder.build()
assert "triage" in workflow.executors
assert "specialist_a" in workflow.executors
assert "specialist_b" in workflow.executors
async def test_handoff_participant_factories_autonomous_mode():
"""Test autonomous mode with participant_factories."""
def create_triage() -> MockHandoffAgent:
return MockHandoffAgent(name="triage", handoff_to="specialist")
def create_specialist() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist")
workflow = (
HandoffBuilder(participant_factories={"triage": create_triage, "specialist": create_specialist})
.with_start_agent("triage")
.with_autonomous_mode(agents=["specialist"], turn_limits={"specialist": 1})
.build()
)
events = await _drain(workflow.run_stream("Issue"))
requests = [ev for ev in events if isinstance(ev, RequestInfoEvent)]
assert requests and len(requests) == 1
assert requests[0].source_executor_id == "specialist"
def test_handoff_participant_factories_invalid_coordinator_name():
"""Test that set_coordinator raises error for non-existent factory name."""
def create_triage() -> MockHandoffAgent:
return MockHandoffAgent(name="triage")
with pytest.raises(
ValueError, match="Start agent factory name 'nonexistent' is not in the participant_factories list"
):
(HandoffBuilder(participant_factories={"triage": create_triage}).with_start_agent("nonexistent").build())
def test_handoff_participant_factories_invalid_handoff_target():
"""Test that add_handoff raises error for non-existent target factory name."""
def create_triage() -> MockHandoffAgent:
return MockHandoffAgent(name="triage")
def create_specialist() -> MockHandoffAgent:
return MockHandoffAgent(name="specialist")
with pytest.raises(ValueError, match="Target factory name 'nonexistent' is not in the participant_factories list"):
(
HandoffBuilder(participant_factories={"triage": create_triage, "specialist": create_specialist})
.with_start_agent("triage")
.add_handoff("triage", ["nonexistent"])
.build()
)
# endregion Participant Factory Tests
File diff suppressed because it is too large Load Diff
@@ -1,454 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
from collections.abc import AsyncIterable
from typing import Any
import pytest
from agent_framework import (
AgentExecutorResponse,
AgentResponse,
AgentResponseUpdate,
AgentThread,
BaseAgent,
ChatMessage,
Content,
Executor,
SequentialBuilder,
TypeCompatibilityError,
WorkflowContext,
WorkflowOutputEvent,
WorkflowRunState,
WorkflowStatusEvent,
handler,
)
from agent_framework._workflows._checkpoint import InMemoryCheckpointStorage
class _EchoAgent(BaseAgent):
"""Simple agent that appends a single assistant message with its name."""
async def run( # type: ignore[override]
self,
messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
*,
thread: AgentThread | None = None,
**kwargs: Any,
) -> AgentResponse:
return AgentResponse(messages=[ChatMessage("assistant", [f"{self.name} reply"])])
async def run_stream( # type: ignore[override]
self,
messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
*,
thread: AgentThread | None = None,
**kwargs: Any,
) -> AsyncIterable[AgentResponseUpdate]:
# Minimal async generator with one assistant update
yield AgentResponseUpdate(contents=[Content.from_text(text=f"{self.name} reply")])
class _SummarizerExec(Executor):
"""Custom executor that summarizes by appending a short assistant message."""
@handler
async def summarize(self, agent_response: AgentExecutorResponse, ctx: WorkflowContext[list[ChatMessage]]) -> None:
conversation = agent_response.full_conversation or []
user_texts = [m.text for m in conversation if m.role == "user"]
agents = [m.author_name or m.role for m in conversation if m.role == "assistant"]
summary = ChatMessage("assistant", [f"Summary of users:{len(user_texts)} agents:{len(agents)}"])
await ctx.send_message(list(conversation) + [summary])
class _InvalidExecutor(Executor):
"""Invalid executor that does not have a handler that accepts a list of chat messages"""
@handler
async def summarize(self, conversation: list[str], ctx: WorkflowContext[list[ChatMessage]]) -> None:
pass
def test_sequential_builder_rejects_empty_participants() -> None:
with pytest.raises(ValueError):
SequentialBuilder().participants([])
def test_sequential_builder_rejects_empty_participant_factories() -> None:
with pytest.raises(ValueError):
SequentialBuilder().register_participants([])
def test_sequential_builder_rejects_mixing_participants_and_factories() -> None:
"""Test that mixing .participants() and .register_participants() raises an error."""
a1 = _EchoAgent(id="agent1", name="A1")
# Try .participants() then .register_participants()
with pytest.raises(ValueError, match="Cannot mix"):
SequentialBuilder().participants([a1]).register_participants([lambda: _EchoAgent(id="agent2", name="A2")])
# Try .register_participants() then .participants()
with pytest.raises(ValueError, match="Cannot mix"):
SequentialBuilder().register_participants([lambda: _EchoAgent(id="agent1", name="A1")]).participants([a1])
def test_sequential_builder_validation_rejects_invalid_executor() -> None:
"""Test that adding an invalid executor to the builder raises an error."""
with pytest.raises(TypeCompatibilityError):
SequentialBuilder().participants([_EchoAgent(id="agent1", name="A1"), _InvalidExecutor(id="invalid")]).build()
async def test_sequential_agents_append_to_context() -> None:
a1 = _EchoAgent(id="agent1", name="A1")
a2 = _EchoAgent(id="agent2", name="A2")
wf = SequentialBuilder().participants([a1, a2]).build()
completed = False
output: list[ChatMessage] | None = None
async for ev in wf.run_stream("hello sequential"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = ev.data # type: ignore[assignment]
if completed and output is not None:
break
assert completed
assert output is not None
assert isinstance(output, list)
msgs: list[ChatMessage] = output
assert len(msgs) == 3
assert msgs[0].role == "user" and "hello sequential" in msgs[0].text
assert msgs[1].role == "assistant" and (msgs[1].author_name == "A1" or True)
assert msgs[2].role == "assistant" and (msgs[2].author_name == "A2" or True)
assert "A1 reply" in msgs[1].text
assert "A2 reply" in msgs[2].text
async def test_sequential_register_participants_with_agent_factories() -> None:
"""Test that register_participants works with agent factories."""
def create_agent1() -> _EchoAgent:
return _EchoAgent(id="agent1", name="A1")
def create_agent2() -> _EchoAgent:
return _EchoAgent(id="agent2", name="A2")
wf = SequentialBuilder().register_participants([create_agent1, create_agent2]).build()
completed = False
output: list[ChatMessage] | None = None
async for ev in wf.run_stream("hello factories"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = ev.data
if completed and output is not None:
break
assert completed
assert output is not None
assert isinstance(output, list)
msgs: list[ChatMessage] = output
assert len(msgs) == 3
assert msgs[0].role == "user" and "hello factories" in msgs[0].text
assert msgs[1].role == "assistant" and "A1 reply" in msgs[1].text
assert msgs[2].role == "assistant" and "A2 reply" in msgs[2].text
async def test_sequential_with_custom_executor_summary() -> None:
a1 = _EchoAgent(id="agent1", name="A1")
summarizer = _SummarizerExec(id="summarizer")
wf = SequentialBuilder().participants([a1, summarizer]).build()
completed = False
output: list[ChatMessage] | None = None
async for ev in wf.run_stream("topic X"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = ev.data
if completed and output is not None:
break
assert completed
assert output is not None
msgs: list[ChatMessage] = output
# Expect: [user, A1 reply, summary]
assert len(msgs) == 3
assert msgs[0].role == "user"
assert msgs[1].role == "assistant" and "A1 reply" in msgs[1].text
assert msgs[2].role == "assistant" and msgs[2].text.startswith("Summary of users:")
async def test_sequential_register_participants_mixed_agents_and_executors() -> None:
"""Test register_participants with both agent and executor factories."""
def create_agent() -> _EchoAgent:
return _EchoAgent(id="agent1", name="A1")
def create_summarizer() -> _SummarizerExec:
return _SummarizerExec(id="summarizer")
wf = SequentialBuilder().register_participants([create_agent, create_summarizer]).build()
completed = False
output: list[ChatMessage] | None = None
async for ev in wf.run_stream("topic Y"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = ev.data
if completed and output is not None:
break
assert completed
assert output is not None
msgs: list[ChatMessage] = output
# Expect: [user, A1 reply, summary]
assert len(msgs) == 3
assert msgs[0].role == "user" and "topic Y" in msgs[0].text
assert msgs[1].role == "assistant" and "A1 reply" in msgs[1].text
assert msgs[2].role == "assistant" and msgs[2].text.startswith("Summary of users:")
async def test_sequential_checkpoint_resume_round_trip() -> None:
storage = InMemoryCheckpointStorage()
initial_agents = (_EchoAgent(id="agent1", name="A1"), _EchoAgent(id="agent2", name="A2"))
wf = SequentialBuilder().participants(list(initial_agents)).with_checkpointing(storage).build()
baseline_output: list[ChatMessage] | None = None
async for ev in wf.run_stream("checkpoint sequential"):
if isinstance(ev, WorkflowOutputEvent):
baseline_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
break
assert baseline_output is not None
checkpoints = await storage.list_checkpoints()
assert checkpoints
checkpoints.sort(key=lambda cp: cp.timestamp)
resume_checkpoint = next(
(cp for cp in checkpoints if (cp.metadata or {}).get("checkpoint_type") == "superstep"),
checkpoints[-1],
)
resumed_agents = (_EchoAgent(id="agent1", name="A1"), _EchoAgent(id="agent2", name="A2"))
wf_resume = SequentialBuilder().participants(list(resumed_agents)).with_checkpointing(storage).build()
resumed_output: list[ChatMessage] | None = None
async for ev in wf_resume.run_stream(checkpoint_id=resume_checkpoint.checkpoint_id):
if isinstance(ev, WorkflowOutputEvent):
resumed_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state in (
WorkflowRunState.IDLE,
WorkflowRunState.IDLE_WITH_PENDING_REQUESTS,
):
break
assert resumed_output is not None
assert [m.role for m in resumed_output] == [m.role for m in baseline_output]
assert [m.text for m in resumed_output] == [m.text for m in baseline_output]
async def test_sequential_checkpoint_runtime_only() -> None:
"""Test checkpointing configured ONLY at runtime, not at build time."""
storage = InMemoryCheckpointStorage()
agents = (_EchoAgent(id="agent1", name="A1"), _EchoAgent(id="agent2", name="A2"))
wf = SequentialBuilder().participants(list(agents)).build()
baseline_output: list[ChatMessage] | None = None
async for ev in wf.run_stream("runtime checkpoint test", checkpoint_storage=storage):
if isinstance(ev, WorkflowOutputEvent):
baseline_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
break
assert baseline_output is not None
checkpoints = await storage.list_checkpoints()
assert checkpoints
checkpoints.sort(key=lambda cp: cp.timestamp)
resume_checkpoint = next(
(cp for cp in checkpoints if (cp.metadata or {}).get("checkpoint_type") == "superstep"),
checkpoints[-1],
)
resumed_agents = (_EchoAgent(id="agent1", name="A1"), _EchoAgent(id="agent2", name="A2"))
wf_resume = SequentialBuilder().participants(list(resumed_agents)).build()
resumed_output: list[ChatMessage] | None = None
async for ev in wf_resume.run_stream(checkpoint_id=resume_checkpoint.checkpoint_id, checkpoint_storage=storage):
if isinstance(ev, WorkflowOutputEvent):
resumed_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state in (
WorkflowRunState.IDLE,
WorkflowRunState.IDLE_WITH_PENDING_REQUESTS,
):
break
assert resumed_output is not None
assert [m.role for m in resumed_output] == [m.role for m in baseline_output]
assert [m.text for m in resumed_output] == [m.text for m in baseline_output]
async def test_sequential_checkpoint_runtime_overrides_buildtime() -> None:
"""Test that runtime checkpoint storage overrides build-time configuration."""
import tempfile
with tempfile.TemporaryDirectory() as temp_dir1, tempfile.TemporaryDirectory() as temp_dir2:
from agent_framework._workflows._checkpoint import FileCheckpointStorage
buildtime_storage = FileCheckpointStorage(temp_dir1)
runtime_storage = FileCheckpointStorage(temp_dir2)
agents = (_EchoAgent(id="agent1", name="A1"), _EchoAgent(id="agent2", name="A2"))
wf = SequentialBuilder().participants(list(agents)).with_checkpointing(buildtime_storage).build()
baseline_output: list[ChatMessage] | None = None
async for ev in wf.run_stream("override test", checkpoint_storage=runtime_storage):
if isinstance(ev, WorkflowOutputEvent):
baseline_output = ev.data # type: ignore[assignment]
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
break
assert baseline_output is not None
buildtime_checkpoints = await buildtime_storage.list_checkpoints()
runtime_checkpoints = await runtime_storage.list_checkpoints()
assert len(runtime_checkpoints) > 0, "Runtime storage should have checkpoints"
assert len(buildtime_checkpoints) == 0, "Build-time storage should have no checkpoints when overridden"
async def test_sequential_register_participants_with_checkpointing() -> None:
"""Test that checkpointing works with register_participants."""
storage = InMemoryCheckpointStorage()
def create_agent1() -> _EchoAgent:
return _EchoAgent(id="agent1", name="A1")
def create_agent2() -> _EchoAgent:
return _EchoAgent(id="agent2", name="A2")
wf = SequentialBuilder().register_participants([create_agent1, create_agent2]).with_checkpointing(storage).build()
baseline_output: list[ChatMessage] | None = None
async for ev in wf.run_stream("checkpoint with factories"):
if isinstance(ev, WorkflowOutputEvent):
baseline_output = ev.data
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
break
assert baseline_output is not None
checkpoints = await storage.list_checkpoints()
assert checkpoints
checkpoints.sort(key=lambda cp: cp.timestamp)
resume_checkpoint = next(
(cp for cp in checkpoints if (cp.metadata or {}).get("checkpoint_type") == "superstep"),
checkpoints[-1],
)
wf_resume = (
SequentialBuilder().register_participants([create_agent1, create_agent2]).with_checkpointing(storage).build()
)
resumed_output: list[ChatMessage] | None = None
async for ev in wf_resume.run_stream(checkpoint_id=resume_checkpoint.checkpoint_id):
if isinstance(ev, WorkflowOutputEvent):
resumed_output = ev.data
if isinstance(ev, WorkflowStatusEvent) and ev.state in (
WorkflowRunState.IDLE,
WorkflowRunState.IDLE_WITH_PENDING_REQUESTS,
):
break
assert resumed_output is not None
assert [m.role for m in resumed_output] == [m.role for m in baseline_output]
assert [m.text for m in resumed_output] == [m.text for m in baseline_output]
async def test_sequential_register_participants_factories_called_on_build() -> None:
"""Test that factories are called during build(), not during register_participants()."""
call_count = 0
def create_agent() -> _EchoAgent:
nonlocal call_count
call_count += 1
return _EchoAgent(id=f"agent{call_count}", name=f"A{call_count}")
builder = SequentialBuilder().register_participants([create_agent, create_agent])
# Factories should not be called yet
assert call_count == 0
wf = builder.build()
# Now factories should have been called
assert call_count == 2
# Run the workflow to ensure it works
completed = False
output: list[ChatMessage] | None = None
async for ev in wf.run_stream("test factories timing"):
if isinstance(ev, WorkflowStatusEvent) and ev.state == WorkflowRunState.IDLE:
completed = True
elif isinstance(ev, WorkflowOutputEvent):
output = ev.data # type: ignore[assignment]
if completed and output is not None:
break
assert completed
assert output is not None
msgs: list[ChatMessage] = output
# Should have user message + 2 agent replies
assert len(msgs) == 3
async def test_sequential_builder_reusable_after_build_with_participants() -> None:
"""Test that the builder can be reused to build multiple identical workflows with participants()."""
a1 = _EchoAgent(id="agent1", name="A1")
a2 = _EchoAgent(id="agent2", name="A2")
builder = SequentialBuilder().participants([a1, a2])
# Build first workflow
builder.build()
assert builder._participants[0] is a1 # type: ignore
assert builder._participants[1] is a2 # type: ignore
assert builder._participant_factories == [] # type: ignore
async def test_sequential_builder_reusable_after_build_with_factories() -> None:
"""Test that the builder can be reused to build multiple workflows with register_participants()."""
call_count = 0
def create_agent1() -> _EchoAgent:
nonlocal call_count
call_count += 1
return _EchoAgent(id="agent1", name="A1")
def create_agent2() -> _EchoAgent:
nonlocal call_count
call_count += 1
return _EchoAgent(id="agent2", name="A2")
builder = SequentialBuilder().register_participants([create_agent1, create_agent2])
# Build first workflow - factories should be called
builder.build()
assert call_count == 2
assert builder._participants == [] # type: ignore
assert len(builder._participant_factories) == 2 # type: ignore
assert builder._participant_factories[0] is create_agent1 # type: ignore
assert builder._participant_factories[1] is create_agent2 # type: ignore
@@ -11,17 +11,19 @@ from agent_framework import (
AgentThread,
BaseAgent,
ChatMessage,
ConcurrentBuilder,
Content,
GroupChatBuilder,
GroupChatState,
HandoffBuilder,
SequentialBuilder,
WorkflowRunState,
WorkflowStatusEvent,
tool,
)
from agent_framework._workflows._const import WORKFLOW_RUN_KWARGS_KEY
from agent_framework.orchestrations import (
ConcurrentBuilder,
GroupChatBuilder,
GroupChatState,
HandoffBuilder,
SequentialBuilder,
)
# Track kwargs received by tools during test execution
_received_kwargs: list[dict[str, Any]] = []
@@ -371,14 +373,15 @@ async def test_handoff_kwargs_flow_to_agents() -> None:
async def test_magentic_kwargs_flow_to_agents() -> None:
"""Test that kwargs flow to agents in a magentic workflow via MagenticAgentExecutor."""
from agent_framework import MagenticBuilder
from agent_framework._workflows._magentic import (
from agent_framework_orchestrations._magentic import (
MagenticContext,
MagenticManagerBase,
MagenticProgressLedger,
MagenticProgressLedgerItem,
)
from agent_framework.orchestrations import MagenticBuilder
# Create a mock manager that completes after one round
class _MockManager(MagenticManagerBase):
def __init__(self) -> None:
@@ -422,14 +425,15 @@ async def test_magentic_kwargs_flow_to_agents() -> None:
async def test_magentic_kwargs_stored_in_state() -> None:
"""Test that kwargs are stored in State when using MagenticWorkflow.run_stream()."""
from agent_framework import MagenticBuilder
from agent_framework._workflows._magentic import (
from agent_framework_orchestrations._magentic import (
MagenticContext,
MagenticManagerBase,
MagenticProgressLedger,
MagenticProgressLedgerItem,
)
from agent_framework.orchestrations import MagenticBuilder
class _MockManager(MagenticManagerBase):
def __init__(self) -> None:
super().__init__(max_stall_count=3, max_reset_count=None, max_round_count=1)