Production inference you control.
Same OpenAI SDK. Built-in output vetting, regional policy, and security tiers on every request.
- Output vetting
- Regional routing
- Published pricing
Quick start
Point your client here.
from openai import OpenAI
client = OpenAI(
base_url="https://api.scalattice.cloud/v1",
api_key="slt_…",
)
client.chat.completions.create(
model="qwen-3-8b",
messages=[{"role": "user", "content": "Ship it."}],
)
Swap base URL and API key, keep your SDK, drop the lab invoice.
Platform
From API key to production.
Docs, dashboards, and predictable pricing so your team ships instead of negotiating contracts.
Published rates
Per-token catalog pricing with prepaid credits. Model-specific promos run on Scalattice Cloud.
Built-in vetting
Run multiple independent checks and compare outputs before anything returns to your app.
Data control
Limit requests to the geography your compliance team needs.
# .env: point any OpenAI client here
OPENAI_API_KEY=slt_…
OPENAI_BASE_URL=https://api.scalattice.cloud/v1
# Optional: X-Scalattice-Region: eu | us | ap | auto
# Same client, lower invoice
Integration
Plug and play with OpenAI.
No new library to install. Set your API token and base URL, then use the OpenAI client you already run in production.
API key
Create a Scalattice token in Scalattice Cloud and use it as your OpenAI API key.
One endpoint
Point OPENAI_BASE_URL or base_url at https://api.scalattice.cloud/v1.
Keep your stack
Python, Node, curl, or any OpenAI-compatible library works unchanged.
Same calls
chat.completions and models today. Embeddings are not enabled yet.
Routing
Set routing policy per request.
Region, vetting, and security policies travel with each call. Scalattice assigns capacity automatically. Learn about the lattice.
Platform
Built for production inference.
Scalattice is a managed inference API. Set model, region, vetting, and security policy on each request. Scalattice routes operator capacity, verifies outputs, and bills per token.