o +i @sxdZddlmZddlmZGdddeZGdddeZGdd d eeZ Gd d d eZ d e d e de fddZ dS)z$Custom **exceptions** for LangChain.)Enum)Anyc@eZdZdZdS)LangChainExceptionzGeneral LangChain exception.N__name__ __module__ __qualname____doc__r r V/var/www/html/psymed-ai/venv/lib/python3.10/site-packages/langchain_core/exceptions.pyrrc@r)TracerExceptionz,Base class for exceptions in tracers module.Nrr r r r r r rc sBeZdZdZ   d dededBdedBdeffdd ZZS) OutputParserExceptiona^Exception that output parsers should raise to signify a parsing error. This exists to differentiate parsing errors from other code or execution errors that also may arise inside the output parser. `OutputParserException` will be available to catch and handle in ways to fix the parsing error, while other errors will be raised. NFerror observation llm_output send_to_llmcsZt|tr t|tjd}t||r"|dus|dur"d}t|||_||_ ||_ dS)aVCreate an `OutputParserException`. Args: error: The error that's being re-raised or an error message. observation: String explanation of error which can be passed to a model to try and remediate the issue. llm_output: String model output which is error-ing. send_to_llm: Whether to send the observation and llm_output back to an Agent after an `OutputParserException` has been raised. This gives the underlying model driving the agent the context that the previous output was improperly structured, in the hopes that it will update the output to the correct format. Raises: ValueError: If `send_to_llm` is `True` but either observation or `llm_output` are not provided. message error_codeNzLArguments 'observation' & 'llm_output' are required if 'send_to_llm' is True) isinstancestrcreate_message ErrorCodeOUTPUT_PARSING_FAILUREsuper__init__ ValueErrorrrr)selfrrrrmsg __class__r r rs   zOutputParserException.__init__)NNF) rrr r rrboolr __classcell__r r r!r rs rc@s,eZdZdZdZdZdZdZdZdZ dZ d S) rz Error codes.INVALID_PROMPT_INPUTINVALID_TOOL_RESULTSMESSAGE_COERCION_FAILUREMODEL_AUTHENTICATIONMODEL_NOT_FOUNDMODEL_RATE_LIMITrN) rrr r r%r&r'r(r)r*rr r r r rCsrrrreturncCs|d|jdS)zCreate a message with a link to the LangChain troubleshooting guide. Args: message: The message to display. error_code: The error code to display. Returns: The full message with the troubleshooting link. zT For troubleshooting, visit: https://docs.langchain.com/oss/python/langchain/errors/ )valuerr r r rOs rN) r enumrtypingr Exceptionrrrrrrrr r r r s  4