The resilient AI gateway that routes, races, caches, and controls every LLM request—before your users notice anything went wrong.
AUTH key verified · quota clear
CACHE semantic match · 0.991
ROUTE zero-cost response streamed
From first byte to final token, the gateway continuously protects reliability, budget, latency, and quality.
Verify the API key, tenant, model permissions, rate envelope, and abuse signals in one edge pass.
Make every model faster, cheaper, and dramatically harder to break.
Set priorities once. Circuit breakers detect rate limits, 5xx failures, context overflow, and latency spikes—then recover the stream.
Resolve meaning, not just exact strings. Near-identical prompts return in under 10ms at configurable similarity thresholds.
Send once, race twice. First chunk wins; the losing request is canceled before it burns your budget.
Prepaid, post-paid, BYOK, or reseller margin—attribute every fractional cent in real time.
Scope every key by model, project, tenant, and time period—with webhooks before spend becomes a surprise.
lr-live-cosmic-••••9K4Q
Favor reliable compute regions with stronger renewable-energy profiles—without sacrificing your latency SLO.
See live traffic, quality, health, latency, cache, and spend in one tactile telemetry console.
Live simulation| Request | Resolved route | TTFT | Tokens | Cost | Status |
|---|---|---|---|---|---|
req_8F21Cchat.completions | GGroq / Llama 70B | 94ms | 1,248 | $0.0008 | Cache hit |
req_7A09Presponses | AAnthropic / Sonnet | 182ms | 2,891 | $0.0314 | Streamed |
req_3D77Kchat.completions | OOpenAI / GPT-4.1 | 141ms | 986 | $0.0082 | Fallback |
req_1M48Qembeddings | MMistral / Embed | 76ms | 422 | $0.0001 | Complete |
Keep the SDKs, streaming, tool calls, JSON mode, multi-modal payloads, and response shapes your team already uses.
from openai import OpenAI
client = OpenAI(
api_key="lr-live-cosmic-••••",
base_url="https://api.llmregistry.com/v1"
)
stream = client.chat.completions.create(
model="auto/reasoning",
messages=[{
"role": "user",
"content": "Chart our growth."
}],
stream=True,
extra_body={
"fallbacks": ["anthropic/*", "openai/*"],
"semantic_cache": True
}
)Compare output quality, time-to-first-token, throughput, and cost side by side before a routing policy reaches production.
Join the arena betaA thoughtful answer balances system complexity with the reliability gains of diversified routing…
The core tradeoff is operational complexity versus resilience: multi-provider routing adds state…
Best valueAt a high level, routing across models improves resilience and cost efficiency while introducing…
Zero prompt retention by default, isolated tenant boundaries, and encryption everywhere sensitive data moves or rests.
Join the private beta and make your first resilient model request.
Alpha onboarding · No credit card required