Automatic failover across providers — if OpenAI returns a 429, traffic shifts to Anthropic or Azure OpenAI in under 200ms. No single-provider dependency in production.

Prompts stored as versioned artifacts with a promotion pipeline — dev → staging → production. Rollback to any previous prompt version in under 60 seconds.

Cheap models for classification and triage, expensive models for generation. Per-user and per-tenant cost budgets with hard caps and soft alerts.

Redis-backed semantic cache that returns stored responses for semantically similar queries — cutting API calls by 30–60% on high-traffic surfaces without touching quality.

Token-bucket rate limiting, request queuing, and exponential backoff with jitter — tuned to the specific limits of each provider and model tier you use.

Per-call token usage, latency, cost, and model version tracked with full attribution to user, feature, and request type. Monthly cost reviews built into every engagement.