Flywheel is the AI routing layer for GraphRAG, agent loops, and retrieval-heavy workloads. It offloads cheap AI work automatically, escalates only when needed, and pushes AI cost per useful answer down over time.
Flywheel is strongest where repeated structured steps and long-context synthesis make Pro spend explode.
Point your existing OpenAI-compatible client at Flywheel. No migration, no new SDK, no rewrite of your app.
Flash handles extraction, formatting, and lightweight reasoning. Pro and premium tiers stay reserved for the expensive edge cases.
Every decision leaves telemetry behind. You see offload, blended savings, and exactly where Pro still dominates the bill.
OpenAI-compatible API for teams that already ship GraphRAG, agents, and production retrieval pipelines.
Presentation snapshot of a high-volume workload. Cheap AI tiers carry the bulk of traffic, while frontier models stay reserved for the expensive edge cases.
Primary fast lane for extraction, summarization, structured outputs, and most repeated GraphRAG substeps.
Used when agentic reasoning depth, stronger generalization, or broad ecosystem compatibility matters more than raw token price.
Reserved for high-judgment synthesis, longer-form outputs, and the tail of requests that still benefit from a stronger premium tier.
Drop-in replacement. Any framework that supports custom base_url works out of the box. No new dependencies.
Automatically classifies requests as JSON, Cypher, or generic. Cheaper models handle structured tasks, complex reasoning gets escalated.
Every outcome is logged. Routing decisions improve over time as the system learns what works for your workload.
Live stats on requests, model mix, escalations, and cost savings. Always know exactly what's happening.
Failed or low-quality responses are automatically retried on the next model tier. No manual fallback logic needed.
Full audit log with model used, cost, savings, and validation outcome for every single request.
OpenRouter gives access. Generic routers lower the bill in the moment. Flywheel is built to change the long-term economics of repeated AI workloads.
Flywheel tracks reference spend, actual spend, offloaded traffic, and where Pro still dominates. You see cost structure, not just model output.
The first win is routing. The durable win is telemetry: repeated workload patterns make future decisions cheaper and more predictable.
Repeated retrieval, extraction, synthesis, and structured validation are exactly where cheap tiers can remove the most Pro traffic without breaking quality.
Platform fee for the routing layer, plus optional shared savings on the verified delta. Easy to pilot, sane to scale.
A fixed platform fee covers the gateway, telemetry, dashboard, and support. Shared savings applies only to verified, measurable delta against a fixed reference tier shown in the dashboard.
Best for first pilots and one workload in production.
For teams with meaningful monthly LLM spend and repeated traffic.
Private deployment, governance, and custom economics.
Ready to start
Start with GraphRAG, agent loops, or any retrieval-heavy pipeline. Measure offload, blended savings, and where Pro still leaks budget.