Source code for autogen_agentchat.task._terminations

from typing import Sequence

from ..base import TerminatedException, TerminationCondition
from ..messages import AgentMessage, HandoffMessage, MultiModalMessage, StopMessage, TextMessage


[docs] class StopMessageTermination(TerminationCondition): """Terminate the conversation if a StopMessage is received.""" def __init__(self) -> None: self._terminated = False @property def terminated(self) -> bool: return self._terminated async def __call__(self, messages: Sequence[AgentMessage]) -> StopMessage | None: if self._terminated: raise TerminatedException("Termination condition has already been reached") for message in messages: if isinstance(message, StopMessage): self._terminated = True return StopMessage(content="Stop message received", source="StopMessageTermination") return None
[docs] async def reset(self) -> None: self._terminated = False
[docs] class MaxMessageTermination(TerminationCondition): """Terminate the conversation after a maximum number of messages have been exchanged. Args: max_messages: The maximum number of messages allowed in the conversation. """ def __init__(self, max_messages: int) -> None: self._max_messages = max_messages self._message_count = 0 @property def terminated(self) -> bool: return self._message_count >= self._max_messages async def __call__(self, messages: Sequence[AgentMessage]) -> StopMessage | None: if self.terminated: raise TerminatedException("Termination condition has already been reached") self._message_count += len(messages) if self._message_count >= self._max_messages: return StopMessage( content=f"Maximum number of messages {self._max_messages} reached, current message count: {self._message_count}", source="MaxMessageTermination", ) return None
[docs] async def reset(self) -> None: self._message_count = 0
[docs] class TextMentionTermination(TerminationCondition): """Terminate the conversation if a specific text is mentioned. Args: text: The text to look for in the messages. """ def __init__(self, text: str) -> None: self._text = text self._terminated = False @property def terminated(self) -> bool: return self._terminated async def __call__(self, messages: Sequence[AgentMessage]) -> StopMessage | None: if self._terminated: raise TerminatedException("Termination condition has already been reached") for message in messages: if isinstance(message, TextMessage | StopMessage) and self._text in message.content: self._terminated = True return StopMessage(content=f"Text '{self._text}' mentioned", source="TextMentionTermination") elif isinstance(message, MultiModalMessage): for item in message.content: if isinstance(item, str) and self._text in item: self._terminated = True return StopMessage(content=f"Text '{self._text}' mentioned", source="TextMentionTermination") return None
[docs] async def reset(self) -> None: self._terminated = False
[docs] class TokenUsageTermination(TerminationCondition): """Terminate the conversation if a token usage limit is reached. Args: max_total_token: The maximum total number of tokens allowed in the conversation. max_prompt_token: The maximum number of prompt tokens allowed in the conversation. max_completion_token: The maximum number of completion tokens allowed in the conversation. Raises: ValueError: If none of max_total_token, max_prompt_token, or max_completion_token is provided. """ def __init__( self, max_total_token: int | None = None, max_prompt_token: int | None = None, max_completion_token: int | None = None, ) -> None: if max_total_token is None and max_prompt_token is None and max_completion_token is None: raise ValueError( "At least one of max_total_token, max_prompt_token, or max_completion_token must be provided" ) self._max_total_token = max_total_token self._max_prompt_token = max_prompt_token self._max_completion_token = max_completion_token self._total_token_count = 0 self._prompt_token_count = 0 self._completion_token_count = 0 @property def terminated(self) -> bool: return ( (self._max_total_token is not None and self._total_token_count >= self._max_total_token) or (self._max_prompt_token is not None and self._prompt_token_count >= self._max_prompt_token) or (self._max_completion_token is not None and self._completion_token_count >= self._max_completion_token) ) async def __call__(self, messages: Sequence[AgentMessage]) -> StopMessage | None: if self.terminated: raise TerminatedException("Termination condition has already been reached") for message in messages: if message.models_usage is not None: self._prompt_token_count += message.models_usage.prompt_tokens self._completion_token_count += message.models_usage.completion_tokens self._total_token_count += message.models_usage.prompt_tokens + message.models_usage.completion_tokens if self.terminated: content = f"Token usage limit reached, total token count: {self._total_token_count}, prompt token count: {self._prompt_token_count}, completion token count: {self._completion_token_count}." return StopMessage(content=content, source="TokenUsageTermination") return None
[docs] async def reset(self) -> None: self._total_token_count = 0 self._prompt_token_count = 0 self._completion_token_count = 0
[docs] class HandoffTermination(TerminationCondition): """Terminate the conversation if a :class:`~autogen_agentchat.messages.HandoffMessage` with the given target is received. Args: target (str): The target of the handoff message. """ def __init__(self, target: str) -> None: self._terminated = False self._target = target @property def terminated(self) -> bool: return self._terminated async def __call__(self, messages: Sequence[AgentMessage]) -> StopMessage | None: if self._terminated: raise TerminatedException("Termination condition has already been reached") for message in messages: if isinstance(message, HandoffMessage) and message.target == self._target: self._terminated = True return StopMessage( content=f"Handoff to {self._target} from {message.source} detected.", source="HandoffTermination" ) return None
[docs] async def reset(self) -> None: self._terminated = False