Hyperion provides a comprehensive feature set for moving LLM applications from the prototype phase into highly resilient, cost-managed production environments.
Core Gateway
- Unified OpenAI-compatible API
- Multi-provider abstraction
- Automatic failover and retries
- SSE streaming proxy support
Advance Caching
- Layer 1: Exact-match in-memory (Redis)
- Layer 2: Semantic embedding search (Qdrant)
- Layer 3: Long-term archive (S3)
- Analytics and similarity tuning
Optimizing Cost & Routing
- Smart model routing & AI Classifier
- Per-key token & spend quotas
- Budget alerting (Email/Slack/Webhooks)
- Real-time spend forecasting
Observability & SecOps
- Custom dashboards & usage trace
- ML-driven anomaly auto-pause
- PII sanitization (Enterprise)
- Air-gapped deployment available
Deployment Tier Highlights
Community: Our AGPL-3.0 OSS edition. Includes Redis and Qdrant semantic caching for single-user dev/prototyping.
Starter: Brings in hard budget cutoffs, 30K requests/month, RBAC basics, and advanced semantic cache for small teams.
Business: Full 3-layer caching pipeline (Redis/Qdrant/S3), Jaeger tracing, load balancing, ML-driven routing classifiers, and up to 100K requests for scaling startups.
Enterprise: Self-hosted, multi-region clustering, VPC networking, SOC2/ISO SLA guarantees, custom role policies, and massive data-lake exports.
For a granular, checklist-style run down of every capability and quota, please reference our full interactive pricing and feature matrix.
Ready to bulletproof your AI stack?
Hyperion provides instant, out-of-the-box active-passive failover and circuit breaking for all major model providers without changing your application code.