Coding Tools
Together AI automates model rollouts with metric gates
Together AI Bloghigh confidence
Why it matters
- →Reduces risk of production outages when swapping foundation model checkpoints.
- →Automates traffic shifting and rollback logic, removing human error from deployment pipelines.
- →Enables data-driven model selection by testing new versions against live traffic metrics before full adoption.
Together AI has launched automated canary rollouts for its inference endpoints, enabling staged model swaps with built-in safety checks. The system allows users to define traffic ladders (e.g., 5% to 100%) and metric gates, such as p95 latency or error rates, which automatically pause the rollout if performance degrades. This feature addresses the operational risks of deploying new foundation models by replacing manual monitoring with platform-enforced health checks and automatic rollback capabilities. The tool is available via CLI, REST API, and Python SDK for existing Together AI users.
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