SAGG Gateway

OpenAI-compatible LLM inference gateway with automatic failover.

Primary: Gonka decentralized network Backup: DeepInfra Model: DeepSeek-V4-Flash-0731

Why SAGG

SAGG routes every request across multiple independent inference sources - a Primary and a Backup - with automatic failover the moment one is degraded or unreachable. You get a single stable API, not a dependency on any one upstream provider's uptime.

Reliability is enforced in the gateway itself, not left to chance:

  • Per-provider circuit breakers isolate a failing source automatically, based on its live error rate.
  • A Backup Budget breaker caps how much traffic can silently shift to the resilient path, so a systemic Primary outage shows up as a signal instead of being quietly absorbed.
  • Redis-backed hold/commit billing reserves quota atomically per request and settles it against actual usage, so a dropped stream never results in double-charging.

As of September 12, 2026: ~98% of requests succeeded (652/667, after excluding a disclosed self-collision between our own concurrent test processes) across both pricing lines and both light and heavy prompt loads, through SAGG's own real end-to-end gateway path - not preliminary source-testing. Median time-to-first-token: ~10-13ms for short/typical prompts, ~240-280ms for heavy workloads.

Methodology and complete raw data: github.com/privatedeskai/sagg-benchmark-data. Full breakdown: /benchmarks.

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