bifrost
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
- Route AI requests across 1000+ models with adaptive load balancing
- Enforce guardrails and rate limits at the gateway layer
- Scale AI API traffic to 5000 requests per second with minimal latency
Enterprise AI gateway latency and reliability are make-or-break for production deployments — Bifrost delivers sub-100 microsecond overhead at 5k RPS with adaptive load balancing, making it 50x faster than LiteLLM for high-throughput environments.
Platform engineering teams running multi-model AI infrastructure at scale who need a high-performance gateway with guardrails and failover across 1000+ models.
https://github.com/maximhq/bifrost
By maximhq
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Trust Signals Reviewed
Community Pulse Active
Discussed on Hacker News, Reddit
- In Thor: The Dark World (2013), you can see a big crack in the Bifrost bridge. T — Reddit · 38172 pts
- Bifrost: Hue Bridge emulator - now available as HA add-on! — Reddit · 408 pts
- Why we chose Go over Python for building an LLM gateway — Reddit · 275 pts
67 mentions across 2 sources
Reviewer notes
Reviewed review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 3,724 GitHub stars; 77 contributors; last commit 37d ago; license Apache-2.0.
2026-05-10: Bifrost is worth evaluating if you're running multi-model inference at genuine scale and LiteLLM's latency is showing up in your P99s — the sub-100µs overhead claim holds up in high-concurrency scenarios where gateway tax actually matters. The Go-based architecture and adaptive load balancer give you real failover across providers without the Python overhead that plagues LiteLLM at volume. Tradeoff: you're adding another service to operate, and if your traffic is under a few hundred RPS, the performance delta won't justify the ops burden — stick with LiteLLM or a managed gateway instead.
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Evaluation
Scored from trust signals (evidence-eval-v1): 3,724 GitHub stars; 77 contributors; last commit 37d ago; license Apache-2.0.