code: import requests
  
  from typing import Any, Dict, Optional
  from langchain.chains.api.prompt import API_RESPONSE_PROMPT, API_URL_PROMPT
  from langchain.chains import APIChain
  from langchain.prompts import BasePromptTemplate
  from langchain.base_language import BaseLanguageModel
  from langchain.chains.llm import LLMChain
  
  from .requests_l402 import RequestsL402Wrapper
  from .requests_l402 import ResponseTextWrapper
  
  from lightning import LightningNode
  
  class L402APIChain(APIChain):
      requests_wrapper: Any
  
      @classmethod
      def from_llm_and_api_docs(
          cls,
          llm: BaseLanguageModel,
          api_docs: str,
          headers: Optional[dict] = None,
          api_url_prompt: BasePromptTemplate = API_URL_PROMPT,
          api_response_prompt: BasePromptTemplate = API_RESPONSE_PROMPT,
          lightning_node = None,
          **kwargs: Any,
      ) -> APIChain:
          """Load chain from just an LLM and the api docs."""
  
          requests_L402 = RequestsL402Wrapper(lightning_node, requests)
          lang_chain_request_L402 = ResponseTextWrapper(
                  requests_wrapper=requests_L402,
          )
  
          get_request_chain = LLMChain(llm=llm, prompt=api_url_prompt)
          get_answer_chain = LLMChain(llm=llm, prompt=api_response_prompt)
  
          return cls(
              api_request_chain=get_request_chain,
              api_answer_chain=get_answer_chain,
              requests_wrapper=lang_chain_request_L402,
              api_docs=api_docs,
              **kwargs,
          )
  
apis: langchain.chains.llm.LLMChain
extract_api: [((1139, 1179), 'langchain.chains.llm.LLMChain', 'LLMChain', ([], {'llm': 'llm', 'prompt': 'api_url_prompt'}), '(llm=llm, prompt=api_url_prompt)\n', (1147, 1179), False, 'from langchain.chains.llm import LLMChain\n'), ((1207, 1252), 'langchain.chains.llm.LLMChain', 'LLMChain', ([], {'llm': 'llm', 'prompt': 'api_response_prompt'}), '(llm=llm, prompt=api_response_prompt)\n', (1215, 1252), False, 'from langchain.chains.llm import LLMChain\n')]