j4zdZddlmZddlmZmZmZmZddlm Z ddl m Z ddl m Z ddlmZddlmZmZdd lmZmZdd lmZmZmZdd lmZdd lmZdd lm Z m!Z!ddl"m#Z$eeeegeeee%ffZ&eeeeeegeeee%ffZ'GddeZ(Gdde(Z)ee&ee!fZ*ee e+e(fZ,GddeZ-y)z!Configuration for run evaluators.)Sequence)AnyCallableOptionalUnion) Embeddings)BaseLanguageModel)BasePromptTemplate) RunEvaluator)EvaluationResultEvaluationResults)ExampleRun) BaseModel ConfigDictField) CRITERIA_TYPE)EmbeddingDistance) EvaluatorTypeStringEvaluator)StringDistancec2eZdZUdZeed<deeeffdZ y) EvalConfigaConfiguration for a given run evaluator. Parameters ---------- evaluator_type : EvaluatorType The type of evaluator to use. Methods ------- get_kwargs() Get the keyword arguments for the evaluator configuration. evaluator_typereturnc8i}|D]\}}|dk(s||||<|S)zGet the keyword arguments for the load_evaluator call. Returns ------- Dict[str, Any] The keyword arguments for the load_evaluator call. r)selfkwargsfieldvals k/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain/smith/evaluation/config.py get_kwargszEvalConfig.get_kwargs2s7JE3((CKF5M N) __name__ __module__ __qualname____doc__r__annotations__dictstrrr#rr$r"rr!s# "!DcNr$rcveZdZUdZdZeeed< dZeeed< dZ eeed< de ee fffd Z xZ S)SingleKeyEvalConfigzBConfiguration for a run evaluator that only requires a single key.N reference_keyprediction_key input_keyrcVt|}dD]}|j|d|S)N)r.r/r0)superr#pop)rrkey __class__s r"r#zSingleKeyEvalConfig.get_kwargsQs.#%CC JJsD !D r$)r%r&r'r(r.rr+r)r/r0r*rr# __classcell__r5s@r"r-r-Cs\L#'M8C='@$(NHSM( $Ix}#BDcNr$r-ceZdZUdZeeZeeee fe d< dZ e ee e d< dZ e eee d< dZe ee d< dZe ee d< dZe ee d < dZe ee d < ed ZGd deZGddeZGddeZGddeZGddeZGddeZGddeZGddeZGdde Z!Gdd eZ"Gd!d"eZ#Gd#d$eZ$Gd%d&e$Z%y)' RunEvalConfiga0Configuration for a run evaluation. Parameters ---------- evaluators : List[Union[EvaluatorType, EvalConfig, RunEvaluator, Callable]] Configurations for which evaluators to apply to the dataset run. Each can be the string of an :class:`EvaluatorType `, such as EvaluatorType.QA, the evaluator type string ("qa"), or a configuration for a given evaluator (e.g., :class:`RunEvalConfig.QA `). custom_evaluators : Optional[List[Union[RunEvaluator, StringEvaluator]]] Custom evaluators to apply to the dataset run. reference_key : Optional[str] The key in the dataset run to use as the reference string. If not provided, it will be inferred automatically. prediction_key : Optional[str] The key from the traced run's outputs dictionary to use to represent the prediction. If not provided, it will be inferred automatically. input_key : Optional[str] The key from the traced run's inputs dictionary to use to represent the input. If not provided, it will be inferred automatically. eval_llm : Optional[BaseLanguageModel] The language model to pass to any evaluators that use a language model. )default_factory evaluatorsNcustom_evaluatorsbatch_evaluatorsr.r/r0eval_llmTarbitrary_types_allowedceZdZUdZdZeeed<dZee ed<e jZ e ed< d deede ddffd ZxZS) RunEvalConfig.Criteriaa"Configuration for a reference-free criteria evaluator. Parameters ---------- criteria : Optional[CRITERIA_TYPE] The criteria to evaluate. llm : Optional[BaseLanguageModel] The language model to use for the evaluation chain. Ncriteriallmrrrc (t|dd|i|yNrCrr2__init__rrCrr5s r"rHzRunEvalConfig.Criteria.__init__ G  9h 9& 9r$N)r%r&r'r(rCrrr)rDr rCRITERIArrrHr6r7s@r"CriteriarBsi -1(=)0+/X' (/(5(>(> >15 :}- : :  : :r$rMceZdZUdZdZeeed<dZee ed<e jZ e ed< d deede ddffd ZxZS) RunEvalConfig.LabeledCriteriaa,Configuration for a labeled (with references) criteria evaluator. Parameters ---------- criteria : Optional[CRITERIA_TYPE] The criteria to evaluate. llm : Optional[BaseLanguageModel] The language model to use for the evaluation chain. NrCrDrrrc (t|dd|i|yrFrGrIs r"rHz&RunEvalConfig.LabeledCriteria.__init__rJr$rK)r%r&r'r(rCrrr)rDr rLABELED_CRITERIArrrHr6r7s@r"LabeledCriteriarOsi -1(=)0+/X' (/(5(F(F F15 :}- : :  : :r$rRcneZdZUdZej Zeed<dZe e ed<dZ e e ed<e dZy)RunEvalConfig.EmbeddingDistanceaIConfiguration for an embedding distance evaluator. Parameters ---------- embeddings : Optional[Embeddings] The embeddings to use for computing the distance. distance_metric : Optional[EmbeddingDistanceEnum] The distance metric to use for computing the distance. rN embeddingsdistance_metricTr?)r%r&r'r(rEMBEDDING_DISTANCErr)rUrrrVEmbeddingDistanceEnumr model_configrr$r"rrTsE )6(H(H H+/ HZ(/;?"78?!$( r$rcXeZdZUdZej Zeed<dZe e ed< dZ e ed<y)RunEvalConfig.StringDistancezConfiguration for a string distance evaluator. Parameters ---------- distance : Optional[StringDistanceEnum] The string distance metric to use. rNdistanceTnormalize_score) r%r&r'r(rSTRING_DISTANCErr)r\rStringDistanceEnumr]boolrr$r"rr[s@ )6(E(E E15(-.5 !%$ Nr$rc\eZdZUdZej Zeed<dZe e ed<dZ e e ed<y)RunEvalConfig.QAa-Configuration for a QA evaluator. Parameters ---------- prompt : Optional[BasePromptTemplate] The prompt template to use for generating the question. llm : Optional[BaseLanguageModel] The language model to use for the evaluation chain. rNrDprompt) r%r&r'r(rQArr)rDrr rcr rr$r"rdrbs9 )6(8(8 8+/X' (//3+,3r$rdc\eZdZUdZej Zeed<dZe e ed<dZ e e ed<y)RunEvalConfig.ContextQA<Configuration for a context-based QA evaluator. Parameters ---------- prompt : Optional[BasePromptTemplate] The prompt template to use for generating the question. llm : Optional[BaseLanguageModel] The language model to use for the evaluation chain. rNrDrc r%r&r'r(r CONTEXT_QArr)rDrr rcr rr$r" ContextQArf 9 )6(@(@ @+/X' (//3+,3r$rjc\eZdZUdZej Zeed<dZe e ed<dZ e e ed<y)RunEvalConfig.CoTQArgrNrDrcrhrr$r"CoTQArmrkr$rnc4eZdZUdZej Zeed<y)RunEvalConfig.JsonValidityz\Configuration for a json validity evaluator. Parameters ---------- rN)r%r&r'r(r JSON_VALIDITYrr)rr$r" JsonValidityrp* )6(C(C Cr$rrc4eZdZUdZej Zeed<y)#RunEvalConfig.JsonEqualityEvaluatorz\Configuration for a json equality evaluator. Parameters ---------- rN)r%r&r'r(r JSON_EQUALITYrr)rr$r"JsonEqualityEvaluatorru3rsr$rwc^eZdZUdZej Zeed<dZe ed<dZ e ed<dZ e ed<y)RunEvalConfig.ExactMatchaxConfiguration for an exact match string evaluator. Parameters ---------- ignore_case : bool Whether to ignore case when comparing strings. ignore_punctuation : bool Whether to ignore punctuation when comparing strings. ignore_numbers : bool Whether to ignore numbers when comparing strings. rF ignore_caseignore_punctuationignore_numbersN) r%r&r'r(r EXACT_MATCHrr)rzr`r{r|rr$r" ExactMatchry<s8 )6(A(A A! T!#(D($$r$r~cBeZdZUdZej Zeed<dZe ed<y)RunEvalConfig.RegexMatchzConfiguration for a regex match string evaluator. Parameters ---------- flags : int The flags to pass to the regex. Example: re.IGNORECASE. rrflagsN) r%r&r'r(r REGEX_MATCHrr)rintrr$r" RegexMatchrNs" )6(A(A Asr$rc eZdZUdZej Zeed<dZe e ed<dZ e e ed<dZ e eed<dZe eed< d de e de eded dffd ZxZS) RunEvalConfig.ScoreStringaConfiguration for a score string evaluator. This is like the criteria evaluator but it is configured by default to return a score on the scale from 1-10. It is recommended to normalize these scores by setting `normalize_by` to 10. Parameters ---------- criteria : Optional[CRITERIA_TYPE] The criteria to evaluate. llm : Optional[BaseLanguageModel] The language model to use for the evaluation chain. normalize_by: Optional[int] = None If you want to normalize the score, the denominator to use. If not provided, the score will be between 1 and 10 (by default). prompt : Optional[BasePromptTemplate] rNrCrD normalize_byrcrrc *t|d||d|y)N)rCrrrG)rrCrrr5s r"rHz"RunEvalConfig.ScoreString.__init__us G  Th\ TV Tr$)NN)r%r&r'r(r SCORE_STRINGrr)rCrrrDr rfloatrcr rrHr6r7s@r" ScoreStringrZs ()6(B(B B,0(=)0+/X' (/(, huo,/3+,315,0 U}- U#5/ U  U   U Ur$rc0eZdZUejZeed<y) RunEvalConfig.LabeledScoreStringrN)r%r&r'rLABELED_SCORE_STRINGrr)rr$r"LabeledScoreStringr}s(5(J(J Jr$r)&r%r&r'r(rlistr;rSINGLE_EVAL_CONFIG_TYPECUSTOM_EVALUATOR_TYPEr)r<rr=BATCH_EVALUATOR_LIKEr.r+r/r0r>r rrYr-rMrRrrrdrjrnrrrrwr~rrrrr$r"r9r9]sF d#  # ! # $ X@Dx%: ;<C8=Aht$89:A $(M8C='@$(NHSM( $Ix}#B,0Hh()0H $L:&:.:-:, / *N,N, 4 44'4 4#4 D*DD D%(%$ ( !U)!UFK[Kr$r9N).r(collections.abcrtypingrrrrlangchain_core.embeddingsrlangchain_core.language_modelsr langchain_core.promptsr langsmithr langsmith.evaluation.evaluatorr r langsmith.schemasrrpydanticrrr(langchain.evaluation.criteria.eval_chainr,langchain.evaluation.embedding_distance.baserrXlangchain.evaluation.schemarr)langchain.evaluation.string_distance.baserr_r*RUN_EVALUATOR_LIKErrr-rr+rr9rr$r"rs'$110<5"N*11BG(7  -t 346  c]HXg./0 -t 346 D*,0,OP sJ >?aKIaKr$