@metorial/togetherai

Together AI provider integration for Metorial - enables using Metorial tools with Together AI's language models through function calling.

Installation

``bash npm install @metorial/togetherai

`or`


yarn add @metorial/togetherai
or

pnpm add @metorial/togetherai
or

bun add @metorial/togetherai


Features
- 🤖 Together AI Integration: Full support for Together AI models
- 🛠️ Function Calling: Native function calling support
- 📡 Session Management: Automatic tool lifecycle handling
- 🔄 OpenAI Compatibility: Based on OpenAI-compatible interface
- ⚡ TypeScript Support: Full TypeScript support with comprehensive type definitions
Usage

`typescript import { metorialTogetherAI } from '@metorial/togetherai'; import { Metorial } from 'metorial'; import OpenAI from 'openai';

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

let togetherai = new OpenAI({ apiKey: 'your-togetherai-api-key', baseURL: 'https://api.together.xyz/v1' });

await metorial.withProviderSession( metorialTogetherAI, { serverDeployments: ['your-server-deployment-id'] }, async session => { let messages = [ { role: 'user', content: 'Summarize the README.md file of the metorial/websocket-explorer repository on GitHub?' } ];

let response = await togetherai.chat.completions.create({ model: 'mistralai/Mistral-7B-Instruct-v0.2', messages, tools: session.tools });

let choice = response.choices[0]!; let toolCalls = choice.message.tool_calls;

if (toolCalls && toolCalls.length > 0) { let toolResponses = await session.callTools(toolCalls); console.log('Tool responses:', toolResponses); } else { console.log(choice.message.content); } } );`

`Dependencies`

- @metorial/core: Core Metorial functionality -@metorial/mcp-sdk-utils: MCP SDK utilities -@metorial/mcp-session: MCP session management -@metorial/openai-compatible: OpenAI-compatible base functionality -@metorial/sdk: Main SDK

`Peer Dependencies`

This package requires an OpenAI-compatible client for Together AI:

`json { "peerDependencies": { "openai": "*" } }``

License

MIT License - see LICENSE file for details.

or

yarn add @metorial/togetherai

or

pnpm add @metorial/togetherai

or

bun add @metorial/togetherai

Features

- 🤖 Together AI Integration: Full support for Together AI models
- 🛠️ Function Calling: Native function calling support
- 📡 Session Management: Automatic tool lifecycle handling
- 🔄 OpenAI Compatibility: Based on OpenAI-compatible interface
- ⚡ TypeScript Support: Full TypeScript support with comprehensive type definitions

Usage

typescript
import { metorialTogetherAI } from '@metorial/togetherai';
import { Metorial } from 'metorial';
import OpenAI from 'openai';

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

let togetherai = new OpenAI({
  apiKey: 'your-togetherai-api-key',
  baseURL: 'https://api.together.xyz/v1'
});

await metorial.withProviderSession(
  metorialTogetherAI,
  {
    serverDeployments: ['your-server-deployment-id']
  },
  async session => {
    let messages = [
      {
        role: 'user',
        content:
          'Summarize the README.md file of the metorial/websocket-explorer repository on GitHub?'
      }
    ];

    let response = await togetherai.chat.completions.create({
      model: 'mistralai/Mistral-7B-Instruct-v0.2',
      messages,
      tools: session.tools
    });

    let choice = response.choices[0]!;
    let toolCalls = choice.message.tool_calls;

    if (toolCalls && toolCalls.length > 0) {
      let toolResponses = await session.callTools(toolCalls);
      console.log('Tool responses:', toolResponses);
    } else {
      console.log(choice.message.content);
    }
  }
);