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import { Workflow, Step } from '@mastra/core';
import { z } from 'zod';

async function main() {
    // Step A: Increment the counter
    const incrementStep = new Step({
        id: 'increment',
        description: 'Increments the current value by 1',
        outputSchema: z.object({
            newValue: z.number(),

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Anatomy of an AI Application: A Deep Dive into Production Components

Introduction

Building a production-ready AI application involves much more than just implementing machine learning models. It requires a robust architecture that can handle real-world demands, scale effectively, and maintain reliability. In this post, we'll dissect the essential components needed to run a production AI application and explore how the Mastra framework helps orchestrate these elements seamlessly.

Components

1. Large Language Model (LLM)

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openapi: 3.0.2
info:
  title: ElevenLabs API Documentation
  description: >-
    This is the documentation for the ElevenLabs API. You can use this API to
    use our service programmatically, this is done by using your xi-api-key.
    <br/> You can view your xi-api-key using the 'Profile' tab on
    https://beta.elevenlabs.io. Our API is experimental so all endpoints are
    subject to change.
  version: '1.0'

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{
  "openapi": "3.0.0",
  "info": {
    "version": "2.26.0",
    "title": "Netlify's API documentation",
    "description": "Netlify is a hosting service for the programmable web. It understands your documents and provides an API to handle atomic deploys of websites, manage form submissions, inject JavaScript snippets, and much more. This is a REST-style API that uses JSON for serialization and OAuth 2 for authentication.\n\nThis document is an OpenAPI reference for the Netlify API that you can explore. For more detailed instructions for common uses, please visit the [online documentation](https://www.netlify.com/docs/api/). Visit our Community forum to join the conversation about [understanding and using Netlify’s API](https://community.netlify.com/t/common-issue-understanding-and-using-netlifys-api/160).\n\nAdditionally, we have two API clients for your convenience:\n- [Go Client](https://github.com/netlify/open-api#go-client)\n- [JS Client](https://github.com/netlify/build/tree/main/packages/js-client)",
 

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import fs from "fs";
import { OpenAI } from "langchain/llms/openai";
import { loadSummarizationChain } from "langchain/chains";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import { PromptTemplate } from "langchain/prompts";

const categories = [
  "News",
  "Business",
  "Technology",

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{
  "id": 1296269,
  "node_id": "MDEwOlJlcG9zaXRvcnkxMjk2MjY5",
  "name": "Hello-World",
  "full_name": "octocat/Hello-World",
  "owner": {
    "login": "octocat",
    "id": 1,
    "node_id": "MDQ6VXNlcjE=",
    "avatar_url": "https://github.com/images/error/octocat_happy.gif",

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import { navigate } from "gatsby-link";
import * as React from "react";
import { useAuth } from "../hooks/useAuth";

const wrapper = {
  backgroundColor: `rgb(197,250,3)`,
  display: `flex`,
  alignItems: `center`,
  justifyContent: `center`,
  flexDirection: `column`,

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import React from "react";
import { useAuth } from "../hooks/useAuth";

// .... other code .... //

export default function Login() {
  const { login } = useAuth();
  return (
    <section style={wrapper}>
      <div style={loginCard}>

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import { navigate } from "gatsby-link";
import { useMoralis } from "./useMoralis";

export function useAuth() {
  const { Moralis } = useMoralis();
  return {
    login: async () => {
      try {
        const user = await Moralis?.Web3.authenticate();
        navigate("/");

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export function useMoralis() {
  // Moralis Initialization
  let Moralis;
  if (typeof window !== `undefined`) {
    Moralis = require("moralis");
    Moralis.initialize(process.env.GATSBY_MORALIS_APPLICATION_ID);
    Moralis.serverURL = process.env.GATSBY_MORALIS_SERVER_ID;
  }
  return { Moralis };
}