j{ dZddlmZddlmZmZddlmZddlm Z ddl m Z ddl m Z ddlmZdd lmZGd d e Zy ) zHTool for interacting with a single API with natural language definition.) annotations)AnyOptional)BaseLanguageModel)Tool)OpenAPIEndpointChain) APIOperation) OpenAPISpec)RequestscjeZdZdZe ddZe d ddZy)NLAToolzNatural Language API Tool.c|jddd|jj}d|d|jj}|||j|S)zConvert an endpoint chain to an API endpoint tool. Args: chain: The endpoint chain. api_title: The title of the API. Returns: The API endpoint tool.  _.zI'm an AI from zG. Instruct what you want, and I'll assist via an API with description: )namefunc description)replace api_operation operation_idrrun)clschain api_title expanded_namers u/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain_community/agent_toolkits/nla/tool.pyfrom_open_api_endpoint_chainz$NLATool.from_open_api_endpoint_chainsq  c*+1U-@-@-M-M,N O i[)##//0 2   EII;OONc tj|||} tj| |f|||d|} |j | |j j S)a<Instantiate the tool from the specified path and method. Args: llm: The language model to use. path: The path of the API. method: The method of the API. spec: The OpenAPI spec. requests: Optional requests object. Default is None. verbose: Whether to print verbose output. Default is False. return_intermediate_steps: Whether to return intermediate steps. Default is False. kwargs: Additional arguments. Returns: The tool. )requestsverbosereturn_intermediate_steps)r from_openapi_specrfrom_api_operationrinfotitle) rllmpathmethodspecr!r"r#kwargsrrs rfrom_llm_and_methodzNLATool.from_llm_and_method*se8%66tT6J $77   &?    //tyyGGr)rrrstrreturn 'NLATool')NFF)r(rr)r.r*r.r+r r!zOptional[Requests]r"boolr#r1r,rr/r0)__name__ __module__ __qualname____doc__ classmethodrr-rrr r s$P(P58P PP,(,*/$H $H$H $H  $H % $H$H$($H$H $H$Hrr N)r5 __future__rtypingrrlangchain_core.language_modelsrlangchain_core.toolsr(langchain_community.chains.openapi.chainr2langchain_community.tools.openapi.utils.api_modelsr 5langchain_community.tools.openapi.utils.openapi_utilsr &langchain_community.utilities.requestsr r r7rrr@s.N" <%IKM;?Hd?Hr