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const apiUrl =
  "https://api.beta.superagent.sh/api/v1/workflows/7261d731-9174-4659-9fcc-df4384058263/invoke";

const outputSchema = {
  type: "object",
  properties: {
    website: { type: "string" },
    industry: { type: "string" },
    number_of_employees: { type: "number" },
    company_type: {

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let inputConfig = input.config();
const {recordId} = inputConfig

await fetch(
    "https://tables.superagent.sh/api/workflows", 
    {
        method: "POST", 
        body: JSON.stringify(
            {
                // REPLACE this with your workflow ID inside the Superagent dashboard

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# Simple RAG
workflows:
  - superagent:
      llm: gpt-4-1106-preview
      data:
        urls:
          - https://s2.q4cdn.com/299287126/files/doc_financials/2023/q3/AMZN-Q3-2023-Earnings-Release.pdf
        use_for: Answering questions about earning reports
      name: Earnings assistant
      intro: 👋 Hi there! How can I help you?

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workflows:
  - superagent: 
      name: My assistant
      llm: gpt-4-1106-preview
      prompt: You are a helpful AI assitant.
      intro: 👋 Hi there! How can I help you?
      data: # This is for structured and unstructured data
        use_for: Querying internal data
        urls:
          - https://acme.inc/test.pdf

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workflow:
    assistant:
        name: my assistant
        description: my assistant description
        llm: gpt-3.5-turbo-16k-0613 # The regular name of the model
        prompt: My prompt
        intro_message: Hello there!
        tools:
            browser:
                # Optional

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import { SuperAgentClient } from "superagentai-js";

const client = new SuperAgentClient({
  token: process.env["SUPERAGENT_API_KEY"],
  environment: "https://api.beta.superagent.sh",
});

async function createAgent(name, description, llmModel, prompt, isActive) {
  return client.agent.create({
    name,

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openapi: 3.0.0
info:
  title: ThingAPI
  description: Does a thing.
  version: v1.0.0
servers:
  - url: https://api.drymergeqa.com
paths:
  /execute/DryMerge/~/demo.api:
    post:

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Deploy Superagent to Render

This guide shows you how to deploy the Superagent API to Render.com

1. Create a new Web service from within the Render dashboard.

2. Select Build and deploy from a Git repository.

3. Connect your Superaget fork from the list of repositories.

homanp

// npm i superagentai-js

import { SuperAgentClient } from "superagentai-js";

const GITHUB_REPO_URL = "https://github.com/homanp/nagato";
const PROMPT = `You are a helpful AI assistant that's an expert at answering questions about the following Github repository: ${GITHUB_REPO_URL}\n\nAlways use the functions provided to answer all questions by the user.`;

interface Agent {
  id: string;
  name: string;

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const lib = require('lib')({token: process.env.STDLIB_SECRET_TOKEN});
const superagentToken = "";
const agentId = "";
const channelId = context.params.event.channel_id;
const authorId = context.params.event.author.id;
const [response] = await Promise.all([
  fetch(`https://api.beta.superagent.sh/api/v1/agents/${agentId}/invoke`, {
    method: "POST",
    headers: {
      "content-type": "application/json",