Platform / Gateway
One standard door to every model.
Keep the interfaces your teams already use. Deeplinq routes OpenAI and Anthropic compatible traffic to hosted providers or models on your own hardware.
Request path
One call. One control boundary.
The application keeps its standard interface while identity, authority, cost, and routing resolve before provider activity.
Request admitted
- 01
OpenAI client
POST /v1/chat/completions
- 02
Control boundary
Identity · grant · cost
- 03
Model route
Hosted or self-hosted
What changes
Change models without changing products.
The gateway separates application code from provider choice, then applies identity, entitlement, safety, metering, and audit at the same boundary.
- 01
Move faster
Connect existing SDKs and tools by changing the base URL. Your application keeps its familiar request and response shape.
- 02
Keep provider choice
Route to commercial providers, compatible endpoints, or self-hosted models. Model grants decide what each customer may use.
- 03
Control the call
Check identity, model entitlement, balance, and content policy before provider spend occurs.
For product leaders
Provider independence becomes a commercial option.
A product can start with one provider, add regional or lower-cost options, and introduce self-hosted models without asking customers to migrate.
- One product interface across providers
- Runtime model pricing and margin
- Entitlement by organization, role, team, or user
For platform teams
A compatible API with a stricter control boundary.
The engine embeds its gateway and handles routing, provider discovery, model registration, usage accounting, and failure classification behind the standard API.
- OpenAI and Anthropic compatible surfaces
- Provider discovery with manual model ID fallback
- Structured provider failure classes without prompt leakage
Next step
Put the control plane in front of your first production workflow.
We will map your models, data boundaries, approval points, and evidence requirements in one working session.