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Together AI

Use Together AI models with docker-agent.

Overview

Together AI is one of the largest hosts of open models, serving Llama, Qwen, DeepSeek, Kimi, GLM and others through an OpenAI-compatible API. docker-agent includes built-in support for Together AI as an alias provider.

Setup

  1. Create an API key from the Together AI settings.
  2. Set the environment variable:

    export TOGETHER_API_KEY=your-api-key
    

Usage

Inline Syntax

The simplest way to use Together AI:

agents:
  root:
    model: together/meta-llama/Llama-3.3-70B-Instruct-Turbo
    description: Assistant using Together AI
    instruction: You are a helpful assistant.

Named Model

For more control over parameters:

models:
  together_model:
    provider: together
    model: meta-llama/Llama-3.3-70B-Instruct-Turbo
    temperature: 0.7
    max_tokens: 8192

agents:
  root:
    model: together_model
    description: Assistant using Together AI
    instruction: You are a helpful assistant.

Available Models

Together AI serves a broad, changing catalog of open-weight models. Check the Together AI model library for current model IDs, context limits, and pricing.

Model Description
meta-llama/Llama-3.3-70B-Instruct-Turbo Llama 3.3 70B, general-purpose chat and tool calling
Qwen/Qwen3-235B-A22B-Instruct-2507-tput Qwen3 235B mixture-of-experts instruct model
deepseek-ai/DeepSeek-V3 DeepSeek-V3, strong coding and reasoning

Model IDs are case-sensitive and must be passed exactly as the catalogue lists them.

How It Works

Together AI is implemented as a built-in alias in docker-agent:

Because Together AI fronts open-weight models whose chat templates may reject more than one leading system message, docker-agent coalesces its per-source system messages into a single one for this provider.

Example: Code Assistant

agents:
  coder:
    model: together/Qwen/Qwen3-235B-A22B-Instruct-2507-tput
    description: Code assistant using Qwen3 on Together AI
    instruction: |
      You are an expert programmer.
      Write clean, well-documented code and follow language best practices.
    toolsets:
      - type: filesystem
      - type: shell
      - type: think