get_openapi_chain#

langchain.chains.openai_functions.openapi.get_openapi_chain(spec: OpenAPISpec | str, llm: BaseLanguageModel | None = None, prompt: BasePromptTemplate | None = None, request_chain: Chain | None = None, llm_chain_kwargs: Dict | None = None, verbose: bool = False, headers: Dict | None = None, params: Dict | None = None, **kwargs: Any) → SequentialChain[source]#

Create a chain for querying an API from a OpenAPI spec.

Parameters:

  • spec (Union[OpenAPISpec, str]) – OpenAPISpec or url/file/text string corresponding to one.

  • llm (Optional[BaseLanguageModel]) – language model, should be an OpenAI function-calling model, e.g. ChatOpenAI(model=”gpt-3.5-turbo-0613”).

  • prompt (Optional[BasePromptTemplate]) – Main prompt template to use.

  • request_chain (Optional[Chain]) – Chain for taking the functions output and executing the request.

  • llm_chain_kwargs (Optional[Dict])

  • verbose (bool)

  • headers (Optional[Dict])

  • params (Optional[Dict])

  • kwargs (Any)

Return type:

SequentialChain