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