Production AI APIs that cost less.
Same workflows you already use. Inference priced to keep your bill down and your roadmap moving.
- OpenAI-compatible
- Regional routing
- Live usage
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-3.6",
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.
Lower bills
Per-token pricing that stays competitive as you scale.
Move gradually
Bring existing integrations over endpoint by endpoint.
Data control
Route traffic to the geography your compliance team needs.
# .env: point any OpenAI client here
OPENAI_API_KEY=slt_live_…
OPENAI_BASE_URL=https://api.scalattice.cloud/v1
SCALATTICE_REGION=eu-west
# Same client, lower invoiceIntegration
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, embeddings, and the endpoints you already use.
Qwen
Mistral
DeepSeek
Llama
Routing
Pick the network path per request.
Latency, region, and cost policies travel with each call. Learn about the lattice.
Geo routing
Pin sensitive workloads to EU, US, or APAC pools.
Latency tier
Prefer nearest hosts for chat; cheaper pools for batch jobs.
Failover
Automatic reroute when a node drops or fails compute tasks.
