jdZddlmZddlZddlmZmZmZmZddl Z ddl m Z ddl m Z ddlmZmZmZddlmZmZmZmZmZdd lmZej4eZGd d eZGd d eZGddee Zy)zWrapper around Minimax APIs.) annotationsN)AnyDictListOptional)CallbackManagerForLLMRun)LLM)convert_to_secret_strget_from_dict_or_envpre_init) BaseModel ConfigDictField SecretStrmodel_validator)enforce_stop_tokenscleZdZUdZded<ded<ded<ded<ed ed d Zdd Zy )_MinimaxEndpointClientz(API client for the Minimax LLM endpoint.strhostgroup_idrapi_keyapi_urlbefore)modec:d|vr|d}|d}|d|}||d<|S)Nrrrz /v1/text/chatcompletion?GroupId=)clsvaluesrrrs j/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain_community/llms/minimax.py set_api_urlz"_MinimaxEndpointClient.set_api_url"s? F "&>Dj)H>xjIG 'F9  cdd|jji}tj|j||}|j s%t d|jd|j|jdddkDr9t d |jddd|jdd |jd S) N AuthorizationzBearer )headersjsonzHTTP z error: base_resp status_coderzAPI status_msgreply) rget_secret_valuerequestspostrok ValueErrorr(textr&)selfrequestr%responses r r-z_MinimaxEndpointClient.post,s"gdll.K.K.M-N$OP==wWM{{uX%9%9$:(8==/RS S ==?; ' 6 :x}}{3MBC8==?;7 EFH }}w''r"N)rDict[str, Any]returnr)r2rr5r) __name__ __module__ __qualname____doc____annotations__r classmethodr!r-rr"r rrs>2 IM  L(#$ (r"rceZdZUdZedZded<dZded< d Zd ed < d Z d ed< dZ d ed< e e Z ded< dZded<dZded<dZded<eddZeddZeddZed dZy)! MinimaxCommonz4Common parameters for Minimax large language models.r)protected_namespacesr_clientz abab5.5-chatrmodelint max_tokensgffffff?float temperaturegffffff?top_p)default_factoryr4 model_kwargsNz Optional[str]minimax_api_hostminimax_group_idzOptional[SecretStr]minimax_api_keyctt|dd|d<t|dd|d<t|ddd|d<t|d|d|d |d <|S) z?Validate that api key and python package exists in environment.rKMINIMAX_API_KEYrJMINIMAX_GROUP_IDrIMINIMAX_API_HOSTzhttps://api.minimax.chat)default)rrrr?)r r r)rrs r validate_environmentz"MinimaxCommon.validate_environmentNs%: ):26L ##E3JAKQE5D#(#>L.>V&*m*&*m*+/O(/ ,  AAr"r=c0eZdZdZ d ddZy)MinimaxaMinimax 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 |j}d|dg|d<|j||jj|}| t ||}|S)a)Call 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_typer0messages)rUupdater?r-r)r1promptstop run_managerkwargsr2r0s r _callz Minimax._callsZ &&/5vFG v||  )  'tT2D r")NN) rerrfzOptional[List[str]]rgz"Optional[CallbackManagerForLLMRun]rhrr5r)r6r7r8r9rirr"r r_r_{sD %):> "8    r"r_) r9 __future__rloggingtypingrrrrr,langchain_core.callbacksr#langchain_core.language_models.llmsr langchain_core.utilsr r r pydanticr rrrrlangchain_community.llms.utilsr getLoggerr6loggerrr=r_rr"r rtsp""4VVMM>   8 $(Y(@>I>B&mS&r"