LLM Operations

Operationalize large language models with guardrails, evaluation pipelines, and governed deployment.

Evaluation

Automated evals for accuracy, toxicity, latency, and cost per token.

Guardrails

Input/output filtering with custom policy rules and red-team workflows.

Versioning

Model and prompt versioning with rollback and A/B testing.

Cost Controls

Budget alerts, token quotas, and per-team cost attribution.