The AI App Platform for production
A modular AI App OS: routing, runtime, monetization, and enterprise governance — designed to scale.
Model routing, agents, monetization, and governance in one control plane
Model Router & Cost Optimizer
Route by policy, not by hard-coded provider choice.
- Unified multi-model API
- Policy routing by cost/latency/quality
- Automatic fallback and retries
- Semantic + response caching
- Budgets, limits, and eval A/B
Agent Runtime & Orchestration
Run tool-using agents with retries, queues, traces, and replay.
- Tool/function execution runtime
- Task queues, idempotency, timeouts
- End-to-end traces and spans
- Sandboxed tool permissions
- Failure replay and root-cause
App Hosting & Monetization
Package AI apps with environments, billing, and launch analytics.
- One-click deployment
- Dev/staging/prod environments
- Hybrid billing: subscription + usage
- Seat-based teams and invoices
- Funnels, retention, alerts
Enterprise Guardrails
Apply access, PII, audit, and residency controls before scale exposes risk.
- SSO/SAML + fine-grained RBAC
- Audit logs and data retention
- PII detection + redaction
- Tenant isolation + residency
- SLA and dedicated support
The path from app request to governed signal
Not a one-time proxy, a continuous improvement system
Design the policy
Start with a routing goal, budget, fallback chain, and data boundary. Every policy is versioned and reviewable.
Route live traffic
The gateway normalizes requests, scores candidates, checks cache, enforces budgets, and records the trace.
Observe every decision
Trace spans connect model choice, token spend, tool calls, cache hits, policy versions, and end-user metadata.
Improve with evidence
Compare policies, prompts, and model pools against evals before the next rollout changes production behavior.
Express goals, budgets, fallback, and governance in one request
You can migrate through the OpenAI-compatible adapter, or use the native SkyAIApp API to turn on policies, cache, traces, agent runtime, and audit controls.
Typed JavaScript, Python, and Go clients for routing, streaming, agents, traces, and policies.
OpenAI-compatible adapter plus native endpoints for policies, traces, webhooks, and usage.
Model providers, vector databases, support tools, CRM systems, observability stacks, and billing tools.
Export trace, spend, prompt, policy, and access records for security review or finance reconciliation.
import { SkyAI } from "@skyaiapp/sdk";
const skyai = new SkyAI({ apiKey: process.env.SKYAIAPP_API_KEY });
const answer = await skyai.route({
input: messages,
goal: "quality",
strategy: "balanced",
budget: { maxCostUsd: 0.08, maxLatencyMs: 1800 },
fallback: ["claude-sonnet-4.6", "gpt-5.5", "gemini-3.1-pro"],
cache: { semantic: true, ttlSeconds: 3600 },
guardrails: {
pii: "redact",
region: "us",
audit: true
},
metadata: {
tenant: "acme",
workflow: "support-copilot"
}
});
console.log(answer.model);
console.log(answer.traceId);
console.log(answer.cost);Platform controls mapped to the risks teams actually operate
| Risk surface | Router | Runtime | Business controls |
|---|---|---|---|
| Cost control | per-request budget caps | run timeouts | usage alerts and invoices |
| Reliability | provider failover | retry and replay | SLA reporting |
| Security | regional routing | scoped tools | RBAC and SSO |
| Compliance | PII policy gates | audit spans | DPA, BAA, MSA |
Four weeks from proxy migration to production governance
Mirror existing calls
Send traffic through the OpenAI-compatible adapter while preserving your current model behavior.
Turn on policy routing
Route low-risk flows by cost or latency, then compare trace output against your baseline.
Add cache and fallback
Enable semantic cache, provider fallback, budget ceilings, and alerts for spend anomalies.
Govern production
Lock SSO, RBAC, PII handling, retention, and audit export before expanding to higher-risk workloads.
Try routing in real time
Pick a goal and strategy to see how policies, caching and fallback impact cost, latency, and reliability.
Live Routing Demo
6 providers • 50+ models
Selected strategy: Balanced.
Get started in minutes
SDKs and quickstart guide for Next.js, Python, and more.