Best answer, best price, automatically. routing.ms is the intelligent layer that decides — for every single call — which model handles it. Quality, cost, and speed balanced in real time, without you hard-coding the choice.
Teams using routing.ms consistently reduce inference spend while maintaining or improving response quality — automatically, on every call.
Most applications pick one model and send everything to it. That guarantees waste on easy requests, failure risk on hard ones, and a single point of failure when that provider changes pricing or goes down.
Sending a simple classification to your most powerful model burns budget on tasks that a cheaper model handles just as well.
Routing complex reasoning to a budget model fails users. There is no single model that's right for every prompt in every context.
Hard-coding a model makes your application fragile. Provider outages, price hikes, or rate limits bring your whole stack down.
Without routing controls, regulated or confidential prompts can land on unapproved external models without any guardrails.
routing.ms sits as a single endpoint in front of every provider. Your application stays simple — the router handles complexity, policy, failover, and optimization on every call.
Replace provider-specific URLs with a single routing.ms endpoint. No application code changes needed beyond that.
Complexity, data sensitivity, and applicable policy rules are evaluated in real time before the prompt is dispatched.
The router matches each prompt to the model that best balances quality, cost, and latency for that specific request.
If a provider fails, routing is redirected instantly. Every routing decision is logged with full rationale for continuous tuning.
Every capability built around one principle: the right model for this request, automatically.
Each prompt is matched to the model best suited to handle it — not the default model, but the optimal one for this task, right now.
Quality, cost, and latency are weighed against each other in real time. You set the priorities; routing.ms executes the optimal trade-off on every call.
If a provider goes down or rate-limits, requests are rerouted to the next best model without downtime or application changes.
Route by task type, data sensitivity, or compliance requirements. Regulated prompts stay on approved or on-premises models automatically.
Set spend limits per workflow, team, or endpoint. Costs stay predictable without throttling quality on the requests that matter most.
Identical or semantically similar queries return cached responses. You never pay twice for the same answer.
From cost-sensitive production APIs to compliance-gated enterprise prompts — explore how routing.ms adapts its decision logic per context.
The prompt arrives at the routing.ms endpoint. Cost optimization policy is active for this workflow.
The router scores the prompt for complexity — factual retrieval, reasoning depth, code generation, creative writing — in milliseconds.
The lowest-cost model that reliably handles this complexity level is chosen. Frontier reserved only for tasks that need it.
Budget is debited against the workflow limit. Similar queries are served from cache to eliminate redundant calls.
You define minimum quality expectations per workflow — allowing the router to enforce them rather than leaving it to chance.
Multi-step reasoning, long-context tasks, and specialized domains are flagged as high-complexity and need capable models.
Hard prompts are always sent to a capable model. Quality is never compromised by cost pressure on the tasks that matter.
Response confidence, latency, and cost are tracked per model per task type, enabling continuous calibration over time.
The optimal model for the request is selected and the prompt is dispatched as normal.
Timeout or error responses from the primary provider are detected in real time — no manual intervention required.
The request is immediately routed to the next best available provider with equivalent capability. Zero downtime for your application.
The failure event is logged with timing and fallback path. Teams can review provider reliability trends in the observability dashboard.
Prompts are classified for sensitivity — PII, financial data, health information — before any routing decision is made.
Compliance rules map each data class to approved model providers, jurisdictions, or on-premises inference endpoints.
Regulated prompts are never dispatched to unapproved external models, regardless of cost or latency advantage.
Every routing decision for classified data is written to an immutable audit log for regulatory review and compliance reporting.
Whether you're optimizing a high-volume API or enforcing compliance on enterprise prompts — routing.ms adapts to your workload.
Products that serve everything from simple lookups to complex analysis get the best model for each request type — not an overpriced one-size model for every call.
Engineering and finance teams set spend budgets per workflow. routing.ms enforces them automatically, redirecting to cheaper models as limits approach without manual intervention.
Financial services, healthcare, and government teams route sensitive prompts to approved or on-premises models automatically — without developers writing routing logic by hand.
Any application that can't afford downtime from a provider outage gets automatic failover to equivalent models — keeping uptime high without operational firefighting.
routing.ms works with every major model provider and fits into your existing infrastructure without rewiring your application.
Routing decisions are policy-enforced, fully logged, and designed so sensitive data never reaches an unapproved model.
Data classification happens before dispatch. Regulated or confidential prompts only reach approved providers — enforced at the routing layer, not the application layer.
Every routing decision — which model, why, when, for what cost — is written to a tamper-evident log ready for security audit or compliance review.
All prompt traffic is encrypted in transit through the routing layer. Credentials to provider APIs are stored in a secrets vault, never in application config.
Compliance rules are enforced on every single call. Policy drift detection flags when routing decisions approach boundary conditions before they become violations.
Each incoming prompt is assessed across several dimensions: task complexity (factual vs. reasoning vs. creative), data classification, applicable policy rules, current cost ceilings, and provider latency. The router scores these in real time and selects the model that best satisfies all active constraints — defaulting to the cheapest capable option unless quality or compliance rules override.
The routing decision itself adds less than 5ms to total latency in typical deployments. Because routing often selects faster, lighter models for simple tasks, the end-to-end response time often decreases rather than increases compared to always using a frontier model.
Failover is automatic. If a provider returns an error or times out, routing.ms immediately reroutes the request to the next best available model — no configuration change, no code deployment, no incident response required. The event is logged and available in your observability dashboard.
Yes. You define data sensitivity classifications and map them to approved model providers or on-premises inference endpoints. routing.ms enforces these rules on every call — regulated prompts are never dispatched to unapproved external APIs. Every compliance routing decision is written to an audit log.
The only change is pointing your API calls to the routing.ms endpoint instead of a provider-specific URL. The request and response format is compatible with standard LLM API conventions. No routing logic, no provider-switching code, and no model selection logic is needed in your application.
Model providers are managed in the routing.ms configuration dashboard — add, remove, or reprioritize them without touching application code. When a new model becomes available or a pricing change makes a different provider preferable, you update the routing policy and it takes effect on the next request.
Stop choosing between quality and cost at the architecture level. Point your application at routing.ms and let every prompt find its best model — automatically.