Together AI Deployment Integration

Overview

This skill separates application release from paid Together capacity changes and defines a reversible deployment for serverless or current v2 dedicated inference.

Prerequisites

• A tested application artifact and model-quality evidence
• Environment-scoped secret references and network egress policy
• Current model availability plus serverless or dedicated capacity decision
• Health, canary, rollback, cost, and teardown owners

Tool Discipline

Use Read, Glob, and Grep to inspect manifests, secret wiring, health checks, and rollback automation. Use WebFetch for current Together model and DMI lifecycle contracts. Use Write or Edit only for approved deployment files after the target platform is confirmed.

Current Contract