Inference
Route workloads across DMS model tiers while keeping an OpenAI-compatible integration.
/v1/chat/completionsOne request. A complete production path.
A familiar API surface backed by routing, private context, tool-aware models, and deployment controls.
Private knowledge
Ground model responses with organization context and deployment boundaries designed around your requirements.
context.source = privateAgent action
Use structured output and tool calls to move from an answer to the next operation.
finish_reason = tool_callsOperational control
Scope routing, capacity, data flow, and service terms for the production environment.
deployment = managed | private
The request finds the right intelligence.
One OpenAI-compatible endpoint routes each workload to the model tier built for it.
Model selection and streamingPrivate context arrives before the answer.
Your knowledge layer grounds the request without turning private data into training material.
Retrieval and context assemblyReasoning becomes an action.
Tool-aware models choose the next operation, return structured output, and continue the workflow.
Tool use and orchestrationEvery outcome keeps an operational trail.
Policies, deployment boundaries, and audit signals keep production workloads observable.
Policy and audit controls