{hddlmZmZddlmZddlmZddlmZddl m Z GddeZ dde d e d e d e d ed ee ge ff dZd ed ee ge ffdZy))CallableOptional)OpenAI)Field) OpenAISchema) InstructorcxeZdZUdZeddZeed<eddZe e ed<edd Z e e ed <y) Validatorzf Validate if an attribute is correct and if not, return a new value with an error message Tz8Whether the attribute is valid based on the requirements)default descriptionis_validNz?The error message if the attribute is not valid, otherwise NonereasonzDIf the attribute is not valid, suggest a new value for the attribute fixed_value) __name__ __module__ __qualname____doc__rr bool__annotations__rrstrrZ/var/www/html/hubwallet-dev/venv/lib/python3.12/site-packages/instructor/dsl/validators.pyr r sZ NHd"UFHSM"'Z"K#rr statementclientallow_overridemodel temperaturereturnc<dtdtffd }|S)a Create a validator that uses the LLM to validate an attribute ## Usage ```python from instructor import llm_validator from pydantic import BaseModel, Field, field_validator class User(BaseModel): name: str = Annotated[str, llm_validator("The name must be a full name all lowercase") age: int = Field(description="The age of the person") try: user = User(name="Jason Liu", age=20) except ValidationError as e: print(e) ``` ``` 1 validation error for User name The name is valid but not all lowercase (type=value_error.llm_validator) ``` Note that there, the error message is written by the LLM, and the error type is `value_error.llm_validator`. Parameters: statement (str): The statement to validate model (str): The LLM to use for validation (default: "gpt-3.5-turbo-0613") temperature (float): The temperature to use for the LLM (default: 0) client (OpenAI): The OpenAI client to use (default: None) vrc jjjtddddd|ddg}|jsJ|j r$|js|j |j S|S)NsystemzYou are a world class validation model. Capable to determine if the following value is valid for the statement, if it is not, explain why and suggest a new value.)rolecontentuserzDoes `z` follow the rules: )response_modelmessagesrr)chat completionscreater r rr)r!resprrrrrs rllmzllm_validator..llmGs{{&&--$% D #!'s*>ykJ #. $}})dkk)} $--D4D4D4P## #rr)rrrrrr-s````` r llm_validatorr/s#Rss4 Jrc,dtdtffd }|S)a Validates a message using OpenAI moderation model. Should only be used for monitoring inputs and outputs of OpenAI APIs Other use cases are disallowed as per: https://platform.openai.com/docs/guides/moderation/overview Example: ```python from instructor import OpenAIModeration class Response(BaseModel): message: Annotated[str, AfterValidator(OpenAIModeration(openai_client=client))] Response(message="I hate you") ``` ``` ValidationError: 1 validation error for Response message Value error, `I hate you.` was flagged for ['harassment'] [type=value_error, input_value='I hate you.', input_type=str] ``` client (OpenAI): The OpenAI client to use, must be sync (default: None) r!rc jj|}|jd}|jj |j r)t d|ddjfdD|S)N)inputr`z` was flagged for z, c3.K|] }|s |yw)Nr).0catcatss r zNopenai_moderation..validate_message_with_openai_mod..s2T3$s)32Ts ) moderationsr+results categories model_dumpflagged ValueErrorjoin)r!responseoutr7rs @r validate_message_with_openai_modz;openai_moderation..validate_message_with_openai_modsz%%,,1,5q!~~((* ;;A3(2T$2T)T(UV rr.)rrBs` ropenai_moderationrCds6 C C  ,+rN)Fz gpt-3.5-turbor)typingrropenairpydanticrinstructor.function_callsrinstructor.clientrr rrfloatr/rCrrrrJs%2( .!  CC CC  C  C seSj CL&,f&,3%*)=&,r