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GroupChatResumeEvent

autogen.events.agent_events.GroupChatResumeEvent #

GroupChatResumeEvent(*, uuid=None, last_speaker_name, events, silent=False)

Bases: BaseEvent

Source code in autogen/events/agent_events.py

def __init__(
    self,
    *,
    uuid: Optional[UUID] = None,
    last_speaker_name: str,
    events: list["LLMMessageType"],
    silent: Optional[bool] = False,
):
    super().__init__(uuid=uuid, last_speaker_name=last_speaker_name, events=events, verbose=not silent)

last_speaker_name `instance-attribute` #

last_speaker_name

events `instance-attribute` #

events

verbose `class-attribute` `instance-attribute` #

verbose = False

uuid `instance-attribute` #

uuid

serialize_model #

serialize_model()

Source code in autogen/events/agent_events.py

@model_serializer
def serialize_model(self) -> dict[str, Any]:
    return {
        "uuid": self.uuid,
        "last_speaker_name": self.last_speaker_name,
        "events": self.events,
        "silent": not self.verbose,
    }

print #

print(f=None)

Source code in autogen/events/agent_events.py

def print(self, f: Optional[Callable[..., Any]] = None) -> None:
    f = f or print

    f(
        f"Prepared group chat with {len(self.events)} events, the last speaker is",
        colored(self.last_speaker_name, "yellow"),
        flush=True,
    )