Built for Engineering & Platform Teams
OptScale AI is a gateway that routes across providers, enforces guardrails, and governs the agents you've already built — so you keep your existing SDK and stop writing integration glue
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Keep your SDK
No new client, no rewrite, no framework migration. Point your existing OpenAI or Anthropic SDK at the gateway's base URL and every call is routed, guardrailed, traced, and governed.
# before
client = OpenAI(
api_key=OPENAI_KEY
))
# after
client = OpenAI(
api_key=OPTSCALE_KEY,
base_url="https://my.optscale.ai/llm_proxy/ORGANIZATION_ID/v1"
)
Same SDK · same request shape · same response · now governed
Sound Familiar?
Every provider has its own SDK, keys, and quirks. Routing, guardrails, tracing, and agent limits all become code you own and maintain.
OpenAI, Anthropic, and local models each bring their own SDK, keys, rate limits, and failover quirks. You maintain glue code instead of features.
Picking the cheapest model that's still good enough is a per-task guess. Routine calls quietly hit frontier models and burn budget.
PII redaction, content filtering, and DLP get rebuilt per app — or skipped entirely under deadline pressure.
Cost, latency, and errors live in separate dashboards — or nowhere. Debugging a slow or failing call across providers is painful.
The agents you built can loop, drift, or blow past budget — with no cost, time, or recursion caps and no anomaly alerts.
Wiring your app to one provider's API makes switching expensive the moment price or quality changes.
How It Works
OptScale AI runs as a control layer in front of every provider and local model you use — without forcing you to rewrite your apps or swap SDKs.
01
Send your existing OpenAI, Anthropic, and local-model calls to OptScale instead. It auto-discovers your providers — no per-app SDK work, no re-platforming.
02
Enable complexity-based routing and guardrails — PII redaction, content filtering, DLP — as policy. Decide which models are allowed for which class of data.
03
Bring the agents you already built — LangChain, CrewAI, or custom code — under cost, time, and recursion limits, with a whitelist of tools they can touch.
04
See per-model, per-team, and per-agent cost, latency, and errors in one dashboard — and tune routing from real traffic, not guesswork.
What You Get
OptScale AI doesn't replace your frameworks or run your agents — it sits in front of the stack you already have and governs it.
One endpoint in front of OpenAI, Anthropic, and local models, with automatic failover when a provider degrades.
Send routine and bulk work to cheap or local models and hard tasks to frontier — by policy, not by hand-editing model names.
PII detection, content filtering, and DLP applied at the gateway to every call — so you don't rebuild them per app.
Cost, time, and recursion limits plus loop and drift detection for the agents you run — LangChain, CrewAI, or custom.
Keep sensitive prompts inside your network and route only approved traffic to public providers.
Per-request tracing, latency, and error debugging across every model in one place — without instrumenting each service.
Evaluating AI governance for your whole company, not just your team? See our Technology & Software solution →
Start free with up to 5 seats, point your SDK at OptScale, and see routing, guardrails, and agent control on your own traffic.
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1250 Borregas Avenue Sunnyvale, CA 94089, US
UK Office:
124 City Road, London, EC1V 2NX, United Kingdom