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Every request to a frontier model is a gamble—will you hit rate limits, face 30-second cold starts, or get caught in a provider outage mid-deployment? Novastack flips the script. It’s an API gateway that doesn’t just proxy—it evaluates token-level routing decisions in real time, shifting traffic between Qwen3-235B-A22B, DeepSeek-V4-Pro, and Claude-Opus-4.7 based on availability, latency percentiles, and capability matching—all behind a single, OpenAI-compatible endpoint: https://api.novapai.ai/router/v1/chat/completions.

• Intelligent token forwarding, not random load balancing The router inspects your prompt structure and selects the optimal model for the task—reasoning depth, multilingual fidelity, or raw creative generation—without you writing a single model discriminator.
• Session-aware failover with zero config If a provider returns a 5xx or violates your latency SLA, Novastack replays the exact request context to the next best-fit model. Your client sees one clean stream; the chaos stays server-side.
• OpenAI-compatible shape, instant migration Swap your base URL and key. That’s it. Function calling, streaming, and max_tokens all map transparently to the underlying models—no SDK patching required.
• Production-grade telemetry Every request gets tagged with route decisions, latency breakdowns, and fallback triggers. You log once, debug across four model backends.

Don’t architect around fragile model dependencies. One key, three world-class models, zero endpoints to juggle. Head to novapai.ai and see how a smarter router changes everything 🚀