Every LLM call.
Controlled from one place.
Gateway and guardrails - unified in a single command center. Sub-100ms PII detection, toxicity blocking, and prompt injection defense at the proxy layer. Unified routing across providers, automatic failover, caching, cost tracking, and full observability. One endpoint to route, guard, and monitor everything.
The only gateway with
native guardrails built in
Most gateways treat guardrails as a third-party integration that adds latency. Our guardrails are built into the gateway itself - PII detection, toxicity blocking, hallucination checks, prompt injection defense, topic enforcement - all executing inline at sub-100ms. No external API calls. No extra hop. The gateway is the guardrail.
See guardrail policiesOne OpenAI-compatible endpoint routes to GPT-4o, Claude, Gemini, Llama, Mistral, or any model. Automatic failover when providers go down. Load-balance across API keys to avoid rate limits. Your application code never changes - the gateway handles provider switching transparently.
See supported providersEvery request flowing through the gateway is automatically logged with full traces - input, output, latency, tokens, cost, guardrail decisions. Attach evaluation metrics to score quality in real-time. No separate observability integration needed - the gateway is the telemetry layer.
Explore tracingReal-time cost tracking per model, per team, per project. Set spend caps and budget alerts before the bill surprises you. Rate limit by user, team, or API key. Cache identical and semantically similar responses to cut costs on repetitive queries - up to 95% savings on stable workloads.
View cost analytics Govern every LLM call
from one proxy
Block PII and toxic output inline
Every LLM response is scanned for PII, toxic content, and policy violations before it reaches the user. Sub-100ms enforcement. No changes to your application code - the gateway intercepts and blocks at the proxy layer.
Failover across providers automatically
When OpenAI goes down, the gateway routes to Claude or Gemini automatically. No code changes. Configure primary and fallback providers with priority, latency, or cost-based routing rules.
Cap spend before the bill arrives
Set per-team, per-project, and per-model budgets. Get alerts at 80% usage. Hard-cap at 100% so no runaway query burns through your credits overnight. Real-time cost dashboards, not end-of-month surprises.
Defend against prompt injection
The gateway scans inputs for prompt injection patterns before they reach the LLM. Jailbreak attempts, system prompt extraction, and instruction override attacks are blocked at the perimeter - your agent never sees them.
Audit every LLM interaction
Every request and response is logged with full metadata - user, team, model, tokens, cost, latency, guardrail decisions. Export logs for SOC 2, HIPAA, or internal compliance. Prove your AI is governed.
Cache and cut costs on stable queries
Identical prompts hit the cache instead of the LLM. Semantic caching catches near-identical queries too. Customer support, FAQ bots, and documentation agents see up to 95% cost reduction on repetitive traffic.
From open endpoint to
governed gateway in three steps
Point your app at the gateway
Swap your LLM provider URL for the gateway endpoint. OpenAI-compatible API - your existing SDK code works unchanged. Configure providers, fallback order, and rate limits in the dashboard.
Define guardrail policies
Set input and output guardrails - PII blocking, toxicity filtering, topic enforcement, prompt injection defense, hallucination checks. Choose enforcement mode per rule: log, flag, or block. Policies apply to all traffic flowing through the gateway.
Monitor cost, quality, and safety
Every request is traced with cost, latency, tokens, guardrail decisions, and evaluation scores. Real-time dashboards show spend per team, block rates per rule, and model performance. Alert on anomalies.
Powering teams from
prototype to production
From ambitious startups to global enterprises, teams trust Future AGI to ship AI agents confidently.