Provara
The intelligent, self-hosted LLM gateway
Provara launched on April 16, 2026 with 2 votes, #4,561 of 21,248 launches that month.
What it does
Provara is an gateway that routes LLM requests across providers and learns which model works best for each type of task. Adaptive quality-based routing with LLM-as-judge A/B testing between models on real traffic Full observability Guardrails for content Spend and latency alerting Self-hosted with Docker Who it's for: Teams using multiple LLM providers who want one dashboard Anyone optimizing LLM costs without sacrificing quality Companies that need self-hosted AI infrastructure
Routes every request. Learns from every response. Catch provider regressions, cut spend at equal quality, and answer 'why did our bill double?' in one screen. Self-host or Cloud.
Know when a provider silently ships a regression. Cut model spend at equal quality — automatically. Answer "why did our bill double?" in one screen, not a grep. Built for teams shipping AI-powered products who've outgrown raw API access. Replay bank + judge re-eval flags quality drops the moment they appear. Nightly cost migration with rollback. Judge-score gated — no quality cliff. Per-user + per-token attribution. MTD + forecast + anomaly. CSV export. Adaptive routing is the foundation. Regression detection, auto cost migration, and spend intelligence are what you actually buy it for. Most LLM regressions are invisible until a customer complains. Not here. A replay bank of your top…from provara.xyz
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LLM Gateway2025 · llmgateway.io · ▲296I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…
TrustMRRNov 2025 · trustmrr.com · ▲833LLM Gateway is a b2b artificial intelligence based in United States, founded in 2025. $259,539/month in verified Stripe revenue. $78,764 MRR. Ahrefs Domain Rating 52/100. growing 55% month-over-month. Track LLM Gateway's verified metrics on TrustMRR.
FastRouter.ai23d ago · fastrouter.ai · ▲364Route requests to the right LLM for cost, latency & quality
- RYRoute your prompts to the best LLM2024 · unify.ai · ▲298
Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be/ZpY6SIkBosE Best results when training a custom router on your own prompt data: https://youtu.be/9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time…
We built open OpenRouter that turns usage into a better modelAug 2026 · github.com · ▲222Hi HN, we built an open source model gateway. It's a single place to manage our own self hosted, frontier, and open source models in one place. It’s is rust native, built for concurrency, and implements all the config quirks across models and providers (streaming formats, tool calls, model parameters, rate limits, and different error behavior). The gateway adds under 1 ms for BYOK requests and under 2 ms when Experiential supplies the provider key. It has every major inference provider, and 1000+ models refreshed daily via a codex agent that opens a PR. Compared to other similar projects…
Foreman, a self-hosted LLM gateway for cost aware model routingJul 2026 · github.com · ▲15Self-hosted LLM router. Cost effective, deterministic, and fast. Secure and private by default. - Northwood-Systems/millwright
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