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chore: Update ts-mastraai template and dependencies
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‎templates/ts-mastraai/package.json‎

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@@ -7,23 +7,23 @@
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"node": ">=18.0.0"
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},
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"dependencies": {
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"@ai-sdk/openai": "^2.0.3",
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"@mastra/core": "^0.24.9",
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"apify": "^3.5.2",
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"mastra": "^0.18.9",
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"zod": "^3.25.67"
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"@ai-sdk/openai": "^3.0.23",
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"@mastra/core": "^1.1.0",
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"apify": "^3.5.3",
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"mastra": "^1.1.0",
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"zod": "^4.3.6"
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},
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"devDependencies": {
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"@apify/eslint-config": "^1.0.0",
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"@apify/tsconfig": "^0.1.1",
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"@types/node": "^22.15.32",
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"eslint": "^9.29.0",
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"eslint-config-prettier": "^10.1.5",
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"globals": "^17.0.0",
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"prettier": "^3.5.3",
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"tsx": "^4.20.3",
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"@types/node": "^25.1.0",
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"eslint": "^9.39.2",
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"eslint-config-prettier": "^10.1.8",
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"globals": "^17.2.0",
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"prettier": "^3.8.1",
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"tsx": "^4.21.0",
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"typescript": "^5.9.3",
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"typescript-eslint": "^8.34.1"
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"typescript-eslint": "^8.54.0"
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},
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"scripts": {
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"start": "npm run start:dev",

‎templates/ts-mastraai/src/agents.ts‎

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@@ -6,6 +6,7 @@ import { instagramScraperTool } from './tools.js';
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export const createSocialMediaAgent = (modelName: string): Agent =>
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new Agent({
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id: 'social-media-agent',
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name: 'Social Media Agent',
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instructions: `You are an expert social media analyst specializing in Instagram analysis.
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You help users understand social media data and extract meaningful insights from

‎templates/ts-mastraai/src/main.ts‎

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Original file line numberDiff line numberDiff line change
@@ -38,7 +38,7 @@ const agent = createSocialMediaAgent(modelName);
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log.info(`Querying the agent with the following query: ${query}`);
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// Query the agent and get the response
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const response = await agent.generateVNext([{ role: 'user', content: query }]);
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const response = await agent.generate([{ role: 'user', content: query }]);
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log.info(`Agent response: ${response.text}`);
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‎templates/ts-mastraai/src/tools.ts‎

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Original file line numberDiff line numberDiff line change
@@ -1,6 +1,4 @@
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// eslint-disable-next-line import/extensions
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import type { Tool } from '@mastra/core/tools';
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// eslint-disable-next-line import/extensions
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import { createTool } from '@mastra/core/tools';
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import { ApifyClient, log } from 'apify';
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import { z } from 'zod';
@@ -17,46 +15,45 @@ const instagramScraperOutputSchema = z.object({
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});
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// Define the Instagram Scraper Tool
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export const instagramScraperTool: Tool<typeof instagramScraperInputSchema, typeof instagramScraperOutputSchema> =
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createTool({
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id: 'instagram-profile-posts-scraper',
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description: "Tool to scrape Instagram profile posts using Apify's Instagram Scraper.",
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inputSchema: instagramScraperInputSchema,
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outputSchema: instagramScraperOutputSchema,
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execute: async ({ context }) => {
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const token = process.env.APIFY_TOKEN;
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if (!token) {
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throw new Error('APIFY_TOKEN environment variable is missing!');
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}
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const { handle, maxPosts } = context;
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const runInput = {
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directUrls: [`https://www.instagram.com/${handle}/`],
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resultsLimit: maxPosts,
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resultsType: 'posts',
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searchLimit: 1,
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};
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const apifyClient = new ApifyClient({ token });
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// Call the Apify Instagram Scraper Actor
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const run = await apifyClient.actor('apify/instagram-scraper').call(runInput);
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if (!run) {
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throw new Error('Failed to start the Actor apify/instagram-scraper');
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}
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// Fetch dataset items
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const datasetId = run.defaultDatasetId;
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const dataset = await apifyClient.dataset(datasetId).listItems();
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const datasetItems: unknown[] = dataset.items;
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// Validate and convert dataset items to InstagramPosts
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try {
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const posts: InstagramPosts = InstagramPosts.fromRaw(datasetItems);
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return { posts: posts.root };
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} catch (error) {
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log.warning(`Received invalid dataset items: ${JSON.stringify(datasetItems)}. Error: ${error}`);
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throw new Error('Received invalid dataset items.');
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}
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},
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});
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export const instagramScraperTool = createTool({
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id: 'instagram-profile-posts-scraper',
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description: "Tool to scrape Instagram profile posts using Apify's Instagram Scraper.",
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inputSchema: instagramScraperInputSchema,
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outputSchema: instagramScraperOutputSchema,
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execute: async (inputData) => {
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const token = process.env.APIFY_TOKEN;
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if (!token) {
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throw new Error('APIFY_TOKEN environment variable is missing!');
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}
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const { handle, maxPosts } = inputData;
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const runInput = {
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directUrls: [`https://www.instagram.com/${handle}/`],
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resultsLimit: maxPosts,
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resultsType: 'posts',
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searchLimit: 1,
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};
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const apifyClient = new ApifyClient({ token });
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// Call the Apify Instagram Scraper Actor
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const run = await apifyClient.actor('apify/instagram-scraper').call(runInput);
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if (!run) {
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throw new Error('Failed to start the Actor apify/instagram-scraper');
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}
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// Fetch dataset items
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const datasetId = run.defaultDatasetId;
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const dataset = await apifyClient.dataset(datasetId).listItems();
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const datasetItems: unknown[] = dataset.items;
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// Validate and convert dataset items to InstagramPosts
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try {
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const posts: InstagramPosts = InstagramPosts.fromRaw(datasetItems);
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return { posts: posts.root };
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} catch (error) {
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log.warning(`Received invalid dataset items: ${JSON.stringify(datasetItems)}. Error: ${error}`);
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throw new Error('Received invalid dataset items.');
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}
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},
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});

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