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45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
"""Input manager for agents."""
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from typing import Optional
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import langchain
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from langchain.schema import AgentAction
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class ChainedInput:
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"""Class for working with input that is the result of chains."""
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def __init__(self, text: str, verbose: bool = False):
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"""Initialize with verbose flag and initial text."""
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self._verbose = verbose
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if self._verbose:
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langchain.logger.log_agent_start(text)
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self._input = text
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def add_action(self, action: AgentAction, color: Optional[str] = None) -> None:
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"""Add text to input, print if in verbose mode."""
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if self._verbose:
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langchain.logger.log_agent_action(action, color=color)
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self._input += action.log
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def add_observation(
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self,
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observation: str,
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observation_prefix: str,
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llm_prefix: str,
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color: Optional[str],
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) -> None:
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"""Add observation to input, print if in verbose mode."""
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if self._verbose:
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langchain.logger.log_agent_observation(
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observation,
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color=color,
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observation_prefix=observation_prefix,
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llm_prefix=llm_prefix,
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)
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self._input += f"\n{observation_prefix}{observation}\n{llm_prefix}"
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@property
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def input(self) -> str:
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"""Return the accumulated input."""
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return self._input
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