TogetherAI

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TogetherAI

Build advanced AI agents with TogetherAI. Connect 600+ integrations, automate workflows, and deploy with ease using Metorial.

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Getting Started with AI SDK and Metorial

Metorial makes it easy to add 600+ integrations to your Vercel AI SDK applications. This guide will walk you through the basics of connecting Metorial to the AI SDK.

Prerequisites

  • A Metorial account with an API key
  • Node.js installed on your system
  • Basic familiarity with Vercel's AI SDK

Installation

First, install the required packages:

npm install @metorial/ai-sdk metorial ai

Getting Your Metorial API Key

  1. Sign up or log in to your Metorial account at metorial.com
  2. Navigate to your dashboard
  3. Go to Settings > API Keys
  4. Click "Create New API Key"
  5. Copy your API key and store it securely (you won't be able to see it again)

Basic Setup

Here's a simple example to get you started:

import { metorialAiSdk } from '@metorial/ai-sdk';
import { Metorial } from 'metorial';
import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai';

const metorial = new Metorial({
  apiKey: 'your-metorial-api-key'
});

await metorial.withProviderSession(
  metorialAiSdk,
  { serverDeployments: ['your-server-deployment-id'] },
  async session => {
    const result = await generateText({
      model: openai('gpt-4'),
      messages: [
        { role: 'user', content: 'What integrations are available?' }
      ],
      tools: session.tools
    });
    
    console.log(result.text);
  }
);

Next Steps

TogetherAI on Metorial

Build powerful AI applications with TogetherAI and Metorial's comprehensive integration platform. Connect TogetherAI's diverse collection of open-source language models to over 600 integrations through our MCP-powered, open-source SDKs. Metorial makes it effortless to give your TogetherAI-based agents access to calendars, databases, communication tools, project management platforms, and hundreds of other services in just a couple of lines of Python or TypeScript code. Whether you're leveraging Llama, Mistral, or other models available through TogetherAI's platform, Metorial eliminates integration complexity so you can focus on building intelligent features. Our developer-first approach handles authentication, API management, error handling, and rate limiting automatically—no more maintaining brittle integration code or debugging OAuth flows. With Metorial's open-core model, you get the transparency and flexibility of open source with the reliability and support you need for production applications. Stop wasting engineering cycles on integration plumbing and start shipping AI-powered features that differentiate your product and delight your users. Let Metorial handle the connections while you concentrate on creating breakthrough AI experiences.

Connect anything. Anywhere.

Ready to build with Metorial?

Let's take your AI-powered applications to the next level, together.

About Metorial

Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.

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