Agent with Zapier NLA Integration
This module has been deprecated and is no longer supported. The documentation below will not work in versions 0.2.0 or later.
Full docs here: https://nla.zapier.com/start/
Zapier Natural Language Actions gives you access to the 5k+ apps and 20k+ actions on Zapier's platform through a natural language API interface.
NLA supports apps like Gmail, Salesforce, Trello, Slack, Asana, HubSpot, Google Sheets, Microsoft Teams, and thousands more apps: https://zapier.com/apps
Zapier NLA handles ALL the underlying API auth and translation from natural language --> underlying API call --> return simplified output for LLMs. The key idea is you, or your users, expose a set of actions via an oauth-like setup window, which you can then query and execute via a REST API.
NLA offers both API Key and OAuth for signing NLA API requests.
Server-side (API Key): for quickly getting started, testing, and production scenarios where LangChain will only use actions exposed in the developer's Zapier account (and will use the developer's connected accounts on Zapier.com)
User-facing (Oauth): for production scenarios where you are deploying an end-user facing application and LangChain needs access to end-user's exposed actions and connected accounts on Zapier.com
Attach NLA credentials via either an environment variable (ZAPIER_NLA_OAUTH_ACCESS_TOKEN
or ZAPIER_NLA_API_KEY
) or refer to the params argument in the API reference for ZapierNLAWrapper
.
Review auth docs for more details.
The example below demonstrates how to use the Zapier integration as an Agent:
- npm
- Yarn
- pnpm
npm install @langchain/openai
yarn add @langchain/openai
pnpm add @langchain/openai
import { OpenAI } from "@langchain/openai";
import { ZapierNLAWrapper } from "langchain/tools";
import {
initializeAgentExecutorWithOptions,
ZapierToolKit,
} from "langchain/agents";
const model = new OpenAI({ temperature: 0 });
const zapier = new ZapierNLAWrapper();
const toolkit = await ZapierToolKit.fromZapierNLAWrapper(zapier);
const executor = await initializeAgentExecutorWithOptions(
toolkit.tools,
model,
{
agentType: "zero-shot-react-description",
verbose: true,
}
);
console.log("Loaded agent.");
const input = `Summarize the last email I received regarding Silicon Valley Bank. Send the summary to the #test-zapier Slack channel.`;
console.log(`Executing with input "${input}"...`);
const result = await executor.invoke({ input });
console.log(`Got output ${result.output}`);