dh!TSSKJr SSKrSSKJrJrJrJrJr SSK J r SSK J r J r SSKJr SSKJr SSKJrJrJr SS KJrJrJr SS KJrJrJrJrJr SS K J!r! \RD"\#5r$SS jr%SSjr&SSjr'\ "SSSS9"SS\55r(\ "SSSS9"SS \\(55r)g)) annotationsN)AnyCallableDictListOptional) deprecated)AsyncCallbackManagerForLLMRunCallbackManagerForLLMRun)LLM) Serializable)convert_to_secret_strget_from_dict_or_envpre_init) ConfigDictField SecretStr)before_sleep_logretryretry_if_exception_typestop_after_attemptwait_exponential)enforce_stop_tokensc SSKn[US5(a[URR5O[[ 5nSnSn[ S[U5[SX4S9U[[[R5S9$) Nrerror T) multiplierminmax)reraisestopwaitr before_sleep) coherehasattrrr CohereError ExceptionrrrrloggerloggingWARNING) max_retriesr&retry_conditions min_seconds max_secondss W/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/llms/cohere.py_create_retry_decoratorr2sv 67 # #  8 89 $Y / KK   ,  M%fgoo>  Coherec X^[TR5nUSU4Sjj5nU"S0UD6$)*Use tenacity to retry the completion call.c<>TRR"S0UD6$N)clientgeneratekwargsllms r1_completion_with_retry5completion_with_retry.._completion_with_retry7szz"",V,,r3r=rreturnrr9r2r-r>r=retry_decoratorr?s` r1completion_with_retryrF3s3-coo>O-- " +F ++r3c X^[TR5nUSU4Sjj5nU"S0UD6$)r6cX># TRR"S0UD6IShvN $N7fr8) async_clientr;r<s r1r?6acompletion_with_retry.._completion_with_retryBs&%%..88888s *(*rAr9rCrDs` r1acompletion_with_retryrK>s3-coo>O99 " +F ++r3z0.0.30z1.0zlangchain_cohere.BaseCohere)sinceremovalalternative_importc\rSrSr%SrSrS\S'SrS\S'\"SS9r S\S 'S r S \S 'Sr S \S'Sr S\S'\"SS9r S\S'SrS\S'\SSj5rSrg) BaseCohereIzBase class for Cohere models.Nrr:rI)default Optional[str]modelg?float temperaturezOptional[SecretStr]cohere_api_keyOptional[List[str]]r#Fbool streaming langchainstr user_agentcSSKn[[USS55US'USnURUSR 5US9US'UR USR 5US9US'U$![ a [ S 5ef=f) z?Validate that api key and python package exists in environment.rNrWCOHERE_API_KEYr])api_key client_namer:rIzTCould not import cohere python package. Please install it with `pip install cohere`.)r&rrClientget_secret_value AsyncClient ImportError)clsvaluesr&ras r1validate_environmentBaseCohere.validate_environmentbs  (=$V-=?OP(F# $!.K%}}/0AAC' - F8 &,%7%7/0AAC'&8&F> " % ?  s A..Br9)rgrrBr)__name__ __module__ __qualname____firstlineno____doc__r:__annotations__rIrrTrVrWr#rZr]rrh__static_attributes__r9r3r1rPrPIs(FCL# .E=.KQ*.N'.V $D $E*It*(!J!< r3rPz0.1.14zlangchain_cohere.CoherecB\rSrSr%SrSrS\S'SrS\S'SrS\S 'S r S \S 'S r S \S 'Sr S\S'Sr S\S'\ "SS9r\SSj5r\SSj5r\SSj5r\S Sj5rS!SjrS"SjrS#S$SjjrS#S%SjjrSrg)&r4|aCohere large language models. To use, you should have the ``cohere`` python package installed, and the environment variable ``COHERE_API_KEY`` set with your API key, or pass it as a named parameter to the constructor. Example: .. code-block:: python from langchain_community.llms import Cohere cohere = Cohere(model="gptd-instruct-tft", cohere_api_key="my-api-key") int max_tokensrkrpgrUfrequency_penaltypresence_penaltyNrStruncaterr-forbid)extracURURURURURUR UR S.$)z2Get the default parameters for calling Cohere API.rurVrvrwrxryrzr~selfs r1_default_paramsCohere._default_paramssE//++!%!7!7 $ 5 5   r3c SS0$)NrWr_r9rs r1 lc_secretsCohere.lc_secretss "233r3c:0SUR0EURE$)zGet the identifying parameters.rT)rTrrs r1_identifying_paramsCohere._identifying_paramss$A7DJJ'@4+?+?@@r3cg)zReturn type of llm.r&r9rs r1 _llm_typeCohere._llm_typesr3c URnURbUb [S5eURbURUS'OXS'0UEUE$)Nz2`stop` found in both the input and default params.stop_sequences)rr# ValueError)rr#r=paramss r1_invocation_paramsCohere._invocation_paramssZ%% 99 T%5QR R YY "'+yyF# $'+# $#&#F##r3c\URSRnU(a [X25nU$)Nr) generationstextr)rresponser#rs r1_process_responseCohere._process_responses,##A&++ &t2D r3c UR"U40UD6n[U4URUS.UD6nURS5nUR Xg5$)a Call out to Cohere's generate endpoint. Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. Returns: The string generated by the model. Example: .. code-block:: python response = cohere("Tell me a joke.") rTpromptr)rrFrTgetrrrr# run_managerr=rr_stops r1_call Cohere._calls^*((88(   6 5;  +,%%h66r3c# UR"U40UD6n[U4URUS.UD6IShvN nURS5nUR Xg5$N&7f)a,Async call out to Cohere's generate endpoint. Args: prompt: The prompt to pass into the model. stop: Optional list of stop words to use when generating. Returns: The string generated by the model. Example: .. code-block:: python response = await cohere("Tell me a joke.") rNr)rrKrTrrrs r1_acall Cohere._acallsk*((88/   6 5;   +,%%h66  s0AA'Ar9)rBzDict[str, Any])rBzDict[str, str])rBr\)r#rXr=rrBdict)rrr#rXrBr\)NN) rr\r#rXrz"Optional[CallbackManagerForLLMRun]r=rrBr\) rr\r#rXrz'Optional[AsyncCallbackManagerForLLMRun]r=rrBr\)rjrkrlrmrnrurorvrwrxryrzr-r model_configpropertyrrrrrrrrrpr9r3r1r4r4|sP JA AsJ@ AsJD"u"L!e!5"Hm"0K<L    44AA$%):> 77"78 7  7 7>%)?C 77"7= 7  7 77r3)r-rtrBzCallable[[Any], Any])r>r4r=rrBr)* __future__rr+typingrrrrrlangchain_core._api.deprecationr langchain_core.callbacksr r #langchain_core.language_models.llmsr langchain_core.load.serializabler langchain_core.utilsrrrpydanticrrrtenacityrrrrrlangchain_community.llms.utilsr getLoggerrjr*r2rFrKrPr4r9r3r1rs"66649VV11?   8 $.,, E6S---` (E>WXL7S*L7YL7r3