homanp

[
  {
    _creationTime: 1741351251985.5696,
    _id: 'kx7d6shmztx58byj3p7xmf2g5h7bnb83',
    content: '@[Superagent](superagent) create an event for afterwork today at 5pm with [email protected]',
    createdBy: 'user_2rbzekdNlvku2dOk7GfBQrrP7bE',
    pageId: 'k97dghcrhh4r0xpn4362ynvj5n7bmng4',
    selectedFiles: [],
    selectedPages: [],
    type: 'USER'

homanp

import { useAuth } from "@clerk/clerk-expo";
import { useEffect, useRef, useCallback } from "react";
import EventSource from "react-native-sse";
import { useBaseChat } from "@qms/shared";
import type {
  UseChatOptions,
  UseChatReturn,
  TextDeltaEvent,
  ToolCallEvent,
  ToolResultEvent,

homanp

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: {

homanp

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

homanp

# 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?

homanp

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

homanp

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

homanp

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,

homanp

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:

homanp

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.