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Documentation Index

Fetch the complete documentation index at: https://docs.langchain.com/llms.txt

Use this file to discover all available pages before exploring further.

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:
See this section for general instructions on installing LangChain packages.
npm
npm install @langchain/openai @langchain/core

import { OpenAI } from "@langchain/openai";
import { ZapierNLAWrapper } from "@langchain/classic/tools";
import {
  initializeAgentExecutorWithOptions,
  ZapierToolKit,
} from "@langchain/classic/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}`);
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