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# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
from typing import Optional, Tuple
from camel.terminators.base import BaseTerminator
class TokenLimitTerminator(BaseTerminator):
r"""Terminate agent if number of tokens reached to token limit threshold.
Args:
token_limit (int): Token limit threshold.
"""
def __init__(self, token_limit: int):
super().__init__()
self.token_limit = token_limit
def _validate(self):
if self.token_limit <= 0:
raise ValueError(
f"`token_limit` should be a "
f"value larger than 0, got {self.token_limit}."
)
def is_terminated(self, num_tokens: int) -> Tuple[bool, Optional[str]]:
r"""Whether terminate the agent by checking number of
used tokens reached to token limit.
Args:
num_tokens (int): Number of tokens.
Returns:
tuple: A tuple containing whether the agent should be
terminated and a string of termination reason.
"""
if self._terminated:
return True, self._termination_reason
if num_tokens >= self.token_limit:
self._terminated = True
self._termination_reason = "max_tokens_exceeded"
return self._terminated, self._termination_reason
def reset(self):
r"""Reset the terminator."""
self._terminated = False
self._termination_reason = None
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