THE PLATFORM
One system.
Every decision visible.
Connect your application to the models it needs, with routing, access and observability in the same operational layer.
Set the intention. Follow the signal.
A weighted policy considers capability, cost and latency together. Keep a fallback ready when a provider cannot serve the work.
01 / BALANCED
01 / ROUTING
A route is a policy,
not a hard-coded choice.
Set a preferred model, a fallback and a request budget for each workload. Keep those decisions alongside the application instead of spreading them across individual SDK calls.
Use the scenarios above to compare a balanced policy with a focus on response time or cost. Weigh model capability, latency and request budget together, and keep a fallback ready when a provider cannot serve the work.
02 / DEPLOYMENT
Keep the boundary
where it belongs.
Use a managed gateway when a team needs a simple starting point. Move to a dedicated environment when network placement, tenant boundaries or deployment ownership require a different shape.
Define the request path, model location and retention policy before production traffic arrives. Review the trust information with the people who own those decisions.
Familiar at the edge.
Considered underneath.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.your-domain.com/v1",
api_key=os.environ["API_KEY"]
)
response = client.chat.completions.create(
model="balanced",
messages=[{
"role": "user",
"content": "What should we build next?"
}]
)03 / OBSERVABILITY
Keep the reason
with the result.
A response is only part of the story. Record which route was selected, how the request moved through it and whether a fallback was used. Use identifiers to follow a request without collecting unnecessary prompt content.
Export operational events to your existing observability tools. Align what is collected, who can access it and how long it is retained with the needs of each workload.