Together AI Dedicated Containers Skill for Agents

What it is

This skill teaches Claude Code how to use Together AI's dedicated container deployment API. It enables AI agents to deploy custom Docker images as inference workers on managed GPU infrastructure with full environment control, scaling configuration, and health monitoring.

The skill targets developers who use Claude Code to manage AI infrastructure and want their agent to handle container deployments on Together AI's GPU cloud.

How it saves time or tokens

Without this skill, deploying containers on Together AI requires reading API docs, constructing JSON payloads, and managing authentication manually. The skill gives Claude Code the exact API patterns, so you describe what you want in natural language and the agent handles the REST calls, environment configuration, and deployment verification.

How to use

1. Add this skill to your Claude Code project configuration.
2. Set your Together AI API key as an environment variable.
3. Ask Claude Code to deploy, scale, or manage your inference containers.

Example

import requests

TOGETHER_API_KEY = 'your-api-key'

# Deploy a custom inference container
response = requests.post(
    'https://api.together.xyz/v1/dedicated/containers',
    headers={'Authorization': f'Bearer {TOGETHER_API_KEY}'},
    json={
        'image': 'my-registry/my-model:latest',
        'gpu_type': 'NVIDIA_A100_80GB',
        'num_gpus': 1,
        'env': {
            'MODEL_NAME': 'my-custom-model',
            'MAX_BATCH_SIZE': '32'
        }
    }
)
print(response.json())

Related on TokRepo

• AI Tools for DevOps -- infrastructure deployment and management tools
• AI Tools for Automation -- workflow automation for AI infrastructure

Common pitfalls

• GPU availability varies by type and region. A100 80GB instances may have queues during peak demand. Check availability before committing to a deployment timeline.
• Container images must be accessible from Together AI's infrastructure. Use a public registry or configure registry credentials in the API call.
• Dedicated containers have a minimum billing period. Shut down unused containers promptly to avoid unnecessary costs.