Provider abstraction
Integrate model aliases and supported request formats while retaining the provider-specific features your application needs.
ENGINEERING
01 / MODEL ROUTINGThe right model.
A controlled route.
Bring model access behind a consistent engineering layer. We design gateway integrations that connect application needs with approved providers, operating policies and useful evidence.
Discuss your engineering priorities ARCHITECTURE THROUGH TO OPERATION
SYSTEM VIEW
Make model selection an engineering decision.
Routing should reflect the task and its constraints. A lower-priced model is useful only when it meets the required quality and operating policy.
Illustrative routing policy / approved targets
- 01
Authenticate
Resolve the application identity, tenant and permitted model set.
- 02
Classify
Use explicit task metadata or a tested classifier to identify the workload.
- 03
Apply policy
Constrain candidates by capability, quality, region, budget and latency.
- 04
Select & execute
Choose a target, apply timeouts and retry only within the allowed boundary.
Policy-controlled outcomes
- STANDARD WORK
Efficient target
A model validated for repeatable, well-defined tasks.
- TASK FIT
Specialist target
A model approved for the task’s reasoning or domain requirements.
- DEPLOYMENT FIT
Private target
A permitted private or self-hosted endpoint where required by the data policy.
Observe quality, latency, cost and policy decisions. Keep sensitive payloads out of routine logs.
WHAT WE ENGINEER
Control the route.
Understand the result.
Resilience with boundaries
Define timeout, retry and fallback criteria. Alternative models must satisfy the same data and capability constraints; streaming and tool execution need explicit failure handling.
Usage and spend controls
Apply workload-level rate, token and concurrency limits, with budgets and alerts where supported. Track usage against an agreed cost baseline.
Evaluation and rollout
Compare candidate models on representative tasks. Use controlled traffic splits and rollback criteria before changing the default route.
GATEWAY INTEGRATION
agentgateway, Kong
and the stack you run.
agentgateway offers model abstraction and virtual-model strategies, including weighted, conditional and failover routing. Kong brings model routing and AI policies into its gateway ecosystem. We assess the supported version and deployment mode against your requirements.
Semantic routing, lowest-latency selection and priority fallback solve different problems. We choose explicit policies where they are sufficient and add classification only when the benefit is demonstrated. Optional plugins, licences and external services are assessed during design.
ENGINEERING QUESTIONS
Decisions worth getting right.
Can routing automatically choose the cheapest model?
It can use cost as an input, but cost alone is a poor acceptance criterion. We establish which models pass the workload’s quality, capability and data requirements, then optimise within that approved set.
Does fallback guarantee continuity?
No. A fallback can also be unavailable or unsuitable. We define bounded retries, compatible alternatives and an explicit error path, then test how the application behaves when every permitted target fails.
Can we change providers without rewriting every application?
A shared gateway and model aliases can reduce provider coupling. Request formats, streaming, tool calls and model behaviour still need compatibility testing before a provider change.
LET’S ENGINEER WHAT COMES NEXT
Make model access
work as a system.
Bring us a workload, a technical constraint or an architecture that needs a second look. We will help define a practical next step.
Discuss your engineering prioritiesArchitecture advice, focused implementation and support for your engineering team.