Unified API access
Route requests through a single API while keeping an OpenAI-compatible drop-in pattern. The site says you can still preserve provider-specific features when needed.
Auriko
Auriko is an LLM inference routing API that lets developers access multiple model providers through one integration. It focuses on cache-aware cost optimization, routing control, and reliability for AI applications.
Overview
Auriko is an API platform for routing LLM inference across multiple providers from a single integration. The homepage positions it as a way to switch models across providers, reduce inference cost, and keep requests reliable without adding provider-specific plumbing to every integration.
Its core value proposition is cache-aware inference routing: Auriko models provider pricing, cache mechanics, workload patterns, and live signals such as performance and health to choose a route for each request. The product site also shows an OpenAI-compatible drop-in workflow, support for BYOK or platform-managed keys, and routing controls for objectives like cost, latency, throughput, and balanced performance.
Core capabilities
Cache-aware cost optimization
Model cost using provider pricing, cache mechanics, and workload patterns rather than only list price, then route to the lowest-cost option for each request.
Predictive signals
Use real-time signals on provider performance, health, cache behavior, and your usage patterns to inform routing and tuning decisions.
Routing strategies
Choose built-in routing modes or define your own objective, with examples shown for cost, latency, throughput, and balanced routing.
Global deployment and failover
Run requests through a globally distributed edge network with automatic failover for continuity and latency optimization.
Key orchestration and budget controls
Manage platform keys, BYOK, or a combination of both, with capacity awareness and budget controls at the workspace or API key level.
Practical use cases
Provider abstraction for application teams
Connect an existing app to multiple model providers through one API so you can swap models without rewriting each provider integration.
Inference cost reduction
Route traffic with cache-aware cost modeling when the same workload can be served by different providers at different effective prices.
Objective-based request routing
Set routing objectives such as cost-focus, latency, throughput, or balanced behavior when you need more control than a fixed provider choice.
Key and budget management for teams
Use platform keys, BYOK, and budget controls when a team wants separate environments or spending guardrails for production, staging, and development.
Production resilience and latency management
Rely on automatic failover and edge routing when uptime and latency matter for production traffic spread across providers.
Pros and Cons
Pros
- Single API for multiple model providers, which reduces integration work when switching or comparing providers.
- OpenAI-compatible usage is shown directly in the product examples, which should make adoption easier for existing OpenAI-based code.
- Cache-aware routing considers more than headline model price, including provider caching behavior and workload patterns.
- The platform exposes practical controls for objectives, failover, key management, and budget limits.
- Published report evidence shows measured cost reduction across benchmarked providers and workloads.
Cons
- The public pages provide limited detail on provider-by-provider feature differences, SDK coverage beyond the listed ecosystem tools, and exact setup steps.
- The pricing and documentation pages show plan structure and routing controls, but not all operational limits or all routing policy options are fully enumerated on the site.
- The strongest published evidence is for cost reduction and routing behavior; broader production fit should be validated against a team’s own traffic patterns and provider mix.
FAQ
How do you integrate Auriko into an existing app?
Auriko provides a single API endpoint for accessing models across supported providers, with an OpenAI-compatible drop-in workflow and provider-specific features where available.
What plans does Auriko offer?
The pricing page shows a Free plan for personal projects or exploring the platform, a Pro plan for teams and production workloads, and an Enterprise option with custom SLAs, SSO/SAML, invoice or PO billing, and dedicated support.
What can the routing strategy optimize for?
Auriko’s routing can optimize for cost, latency, throughput, or balanced objectives, and the site also shows examples of constraints such as TTFT, provider selection, and structured output mode.
Can you bring your own API keys?
Yes. The pricing page lists BYOK access, and the homepage also describes key orchestration that can use platform keys, your own keys, or both.
Can you control spend and usage?
Auriko’s pricing page mentions budget controls, including spending limits and alerts at the workspace or API key level.
Quick Facts
- Category
- Developer Tool
- Product type
- LLM inference routing API
- Primary users
- Developers and teams building AI applications
- Deployment
- Cloud service with globally distributed edge routing
- Source domain
- auriko.ai
- Pricing
- Free plan, Pro at $89/mo, and Enterprise contact sales
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