dhSrSSKJr SSKrSSKJrJrJrJr SSK r SSK J r SSK J r SSKJrJrJr SSKJrJrJrJrJr SS KJr \R4"\5r"S S \5r"S S \5r"SS\\ 5rg)zWrapper around Minimax APIs.) annotationsN)AnyDictListOptional)CallbackManagerForLLMRun)LLM)convert_to_secret_strget_from_dict_or_envpre_init) BaseModel ConfigDictField SecretStrmodel_validator)enforce_stop_tokenscr\rSrSr%SrS\S'S\S'S\S'S\S'\"S S 9\SS j55rSS jr S r g)_MinimaxEndpointClientz(API client for the Minimax LLM endpoint.strhostgroup_idrapi_keyapi_urlbefore)modec<SU;aUSnUSnUSU3nXAS'U$)Nrrrz /v1/text/chatcompletion?GroupId=)clsvaluesrrrs X/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/llms/minimax.py set_api_url"_MinimaxEndpointClient.set_api_url"s= F "&>Dj)H>xjIG '9  cSSURR530n[R"URX!S9nUR (d%[ SURSUR35eUR5SSS:a9[ S UR5SSSUR5SS 35eUR5S $) N AuthorizationzBearer )headersjsonzHTTP z error: base_resp status_coderzAPI status_msgreply) rget_secret_valuerequestspostrok ValueErrorr*textr()selfrequestr'responses r!r/_MinimaxEndpointClient.post,s"gdll.K.K.M-N$OP==wM{{uX%9%9$:(8==/RS S ==?; ' 6 :x}}{3MBC8==?;7 EFH }}w''r$rN)r Dict[str, Any]returnr)r4rr8r) __name__ __module__ __qualname____firstlineno____doc____annotations__r classmethodr"r/__static_attributes__rr$r!rrs>2 IM  L(#$ (r$rc\rSrSr%Sr\"SS9rS\S'SrS\S 'S r S \S 'S r S\S'Sr S\S'\ "\ S9rS\S'SrS\S'SrS\S'SrS\S'\SSj5r\S Sj5r\S Sj5r\S!Sj5rSrg)" MinimaxCommon:z4Common parameters for Minimax large language models.r)protected_namespacesr_clientz abab5.5-chatrmodelint max_tokensgffffff?float temperaturegffffff?top_p)default_factoryr7 model_kwargsNz Optional[str]minimax_api_hostminimax_group_idzOptional[SecretStr]minimax_api_keyc[[USS55US'[USS5US'[USSSS9US'[USUSUSS 9US 'U$) z?Validate that api key and python package exists in environment.rQMINIMAX_API_KEYrPMINIMAX_GROUP_IDrOMINIMAX_API_HOSTzhttps://api.minimax.chat)default)rrrrE)r r r)rr s r!validate_environment"MinimaxCommon.validate_environmentNs%: ):rFrIrKrLrdictrNrOrPrQr rWpropertyr\r_rcr@rr$r!rBrB:s>26L ##E3JAKQE5D#(#>L.>V&*m*&*m*+/O(/ ,  AAr$rBc<\rSrSrSrSSSjjrSrg)Minimax{aMinimax large language models. To use, you should have the environment variable ``MINIMAX_API_KEY`` and ``MINIMAX_GROUP_ID`` set with your API key, or pass them as a named parameter to the constructor. Example: . code-block:: python from langchain_community.llms.minimax import Minimax minimax = Minimax(model="", minimax_api_key="my-api-key", minimax_group_id="my-group-id") Nc URnSUS./US'URU5 URRU5nUb [ Xb5nU$)zCall out to Minimax's completion endpoint to chat Args: prompt: The prompt to pass into the model. Returns: The string generated by the model. Example: .. code-block:: python response = minimax("Tell me a joke.") USER) sender_typer2messages)r\updaterEr/r)r3promptstop run_managerkwargsr4r2s r!_call Minimax._callsX &&/5vFG v||  )  't2D r$r)NN) rprrqzOptional[List[str]]rrz"Optional[CallbackManagerForLLMRun]rsrr8r)r9r:r;r<r=rtr@rr$r!riri{sI %):> "8    r$ri) r= __future__rloggingtypingrrrrr.langchain_core.callbacksr#langchain_core.language_models.llmsr langchain_core.utilsr r r pydanticr rrrrlangchain_community.llms.utilsr getLoggerr9loggerrrBrirr$r!rsn""4VVMM>   8 $(Y(@>I>B&mS&r$