Source code for langchain_community.agent_toolkits.nla.tool
"""Tool for interacting with a single API with natural language definition."""
from __future__ import annotations
from typing import Any, Optional
from langchain_core.language_models import BaseLanguageModel
from langchain_core.tools import Tool
from langchain_community.chains.openapi.chain import OpenAPIEndpointChain
from langchain_community.tools.openapi.utils.api_models import APIOperation
from langchain_community.tools.openapi.utils.openapi_utils import OpenAPISpec
from langchain_community.utilities.requests import Requests
[docs]
class NLATool(Tool): # type: ignore[override]
"""Natural Language API Tool."""
[docs]
@classmethod
def from_open_api_endpoint_chain(
cls, chain: OpenAPIEndpointChain, api_title: str
) -> "NLATool":
"""Convert 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.
"""
expanded_name = (
f'{api_title.replace(" ", "_")}.{chain.api_operation.operation_id}'
)
description = (
f"I'm an AI from {api_title}. Instruct what you want,"
" and I'll assist via an API with description:"
f" {chain.api_operation.description}"
)
return cls(name=expanded_name, func=chain.run, description=description)
[docs]
@classmethod
def from_llm_and_method(
cls,
llm: BaseLanguageModel,
path: str,
method: str,
spec: OpenAPISpec,
requests: Optional[Requests] = None,
verbose: bool = False,
return_intermediate_steps: bool = False,
**kwargs: Any,
) -> "NLATool":
"""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.
"""
api_operation = APIOperation.from_openapi_spec(spec, path, method)
chain = OpenAPIEndpointChain.from_api_operation(
api_operation,
llm,
requests=requests,
verbose=verbose,
return_intermediate_steps=return_intermediate_steps,
**kwargs,
)
return cls.from_open_api_endpoint_chain(chain, spec.info.title)