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fd21ffe293
Public classes/functions are not renamed and rule is ignored for them. Co-authored-by: Erick Friis <erick@langchain.dev>
52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
"""Custom **exceptions** for LangChain."""
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from typing import Any, Optional
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class LangChainException(Exception): # noqa: N818
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"""General LangChain exception."""
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class TracerException(LangChainException):
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"""Base class for exceptions in tracers module."""
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class OutputParserException(ValueError, LangChainException): # noqa: N818
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"""Exception that output parsers should raise to signify a parsing error.
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This exists to differentiate parsing errors from other code or execution errors
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that also may arise inside the output parser. OutputParserExceptions will be
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available to catch and handle in ways to fix the parsing error, while other
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errors will be raised.
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Parameters:
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error: The error that's being re-raised or an error message.
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observation: String explanation of error which can be passed to a
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model to try and remediate the issue. Defaults to None.
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llm_output: String model output which is error-ing.
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Defaults to None.
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send_to_llm: Whether to send the observation and llm_output back to an Agent
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after an OutputParserException has been raised. This gives the underlying
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model driving the agent the context that the previous output was improperly
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structured, in the hopes that it will update the output to the correct
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format. Defaults to False.
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"""
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def __init__(
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self,
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error: Any,
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observation: Optional[str] = None,
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llm_output: Optional[str] = None,
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send_to_llm: bool = False,
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):
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super().__init__(error)
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if send_to_llm:
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if observation is None or llm_output is None:
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raise ValueError(
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"Arguments 'observation' & 'llm_output'"
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" are required if 'send_to_llm' is True"
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)
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self.observation = observation
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self.llm_output = llm_output
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self.send_to_llm = send_to_llm
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