Layerr is a 12-layer orchestration intelligence system that sits between your applications and LLM providers. A dedicated router model classifies every prompt into 8 intent categories, then a workload analyzer, workspace selector, 12-dimensional scoring engine, and strategy engine determine the optimal model. Fallback chains, provider health checks, explainability, replay intelligence, adaptive learning, and benchmark harnesses are all built in. Currently v0.8.0-alpha - early but real.

Does Layerr generate AI responses?

No. Layerr never generates responses itself. It acts as an intelligent routing and orchestration layer, forwarding your prompts to existing providers like Anthropic, OpenAI, Mistral, Google, and others, then returning the response back to your tool.

Is it compatible with Claude Code and Cursor?

Yes. Layerr exposes a fully OpenAI-compatible API endpoint. Set OPENAI_BASE_URL to Layerr and Claude Code, Cursor, Roo Code, or any OpenAI SDK client routes through it instantly. Zero code changes. The author has been running this against Claude Code for weeks - local models for quick patches, escalated to sonnet for heavy reasoning.

How does intelligent routing work?

Layer 1: a router model classifies intent into CODING, REASONING, CREATIVE, VISION, DOCUMENT, FAST, SECURITY, or GENERAL. Layer 2: deterministic workload analysis scores complexity, latency sensitivity, cost sensitivity, context size, and reasoning depth with zero LLM calls. Layer 3: a workspace profile (General, Coding, Research, Creative, Local-First, Cost, or Performance) is selected. Layer 4: the strategy engine builds a 12-dimensional scoring profile with latency tolerance, cost sensitivity, reasoning depth, and fallback thresholds. Layer 5: every candidate model is scored across 12 dimensions plus runtime enrichment. Layer 6: the primary model is selected and a fallback chain of up to 4 candidates is prepared. If the primary fails, the next candidate is tried automatically. Every decision produces a structured explainability output.

Can I self-host Layerr?

Yes. The Layerr runtime deploys via Docker or Kubernetes on any cloud or bare metal. Self-hosted deployments use your own API keys, run all routing logic locally, and receive all 9 capabilities including workspace customization, replay intelligence, benchmark harness, and entitlements. In v0.8.0-alpha the focus is on getting the local + cloud hybrid right first.

What models are supported?

Any model available through OpenRouter (100+ models), plus direct integrations with Anthropic, OpenAI, Mistral, Google Gemini, Cohere, and Ollama for local inference. The router is currently qwen2.5:14b or similar. If a provider exposes an API, Layerr can route to it.

Is my code or data sent to Layerr?

Only routing metadata is processed - estimated prompt complexity, context size, and task type. Your actual code and prompts go directly to the chosen LLM provider. Self-hosted deployments send zero data to Layerr servers. The router model runs locally if you self-host.

What's the difference between Layerr and OpenRouter?

OpenRouter is a model marketplace - one API key, many models. Layerr is an orchestration intelligence system that decides WHICH model to use, WHEN to escalate, and HOW to recover from failures. It adds intent classification, workspace profiles, 12-dimensional scoring, fallback chains up to 4 deep, explainability, replay intelligence, adaptive learning, benchmark harnesses, and governance. OpenRouter gives you access. Layerr gives you decisions.

Legal

Refund Policy

We back paid plans with a 14-day money-back guarantee. Here is exactly how refunds work.

Last updated: August 30, 2026

1. Scope

1.1This Refund Policy applies to paid subscriptions to Layerr (the Pro and Team plans) purchased through our website. It forms part of our Terms of Service.

2. 14-day money-back guarantee

2.1If you are not satisfied with a paid plan, you may request a full refund within 14 days of your first payment for that plan. We will refund the amount you paid, in full, with no questions asked.

2.2The guarantee applies to your initial purchase of a plan. It does not apply to subsequent renewal payments (see Section 3).

3. After the 14-day window

3.1After the 14-day window, payments are non-refundable. You can cancel your subscription at any time; cancellation stops future renewals.

3.2When you cancel, your plan remains active until the end of the billing period you have already paid for. We do not provide pro-rated refunds for the unused portion of a billing period.

4. Free / Hobby plan

4.1The Hobby plan is free, so no payment is taken and no refund applies.

5. Payments and merchant of record

5.1Payments and refunds are processed by our payment provider and merchant of record, Paddle.com Market Ltd ("Paddle"). Charges and refunds may appear on your statement under Paddle's name.

5.2Because Paddle is the merchant of record, its buyer terms also apply to your purchase. Approved refunds are returned to your original payment method; processing times depend on Paddle and your bank or card issuer.

6. How to request a refund

6.1Email [email protected] from the address associated with your purchase, including your order or receipt details. We aim to acknowledge requests within a few business days. Eligible refunds under Section 2 will be approved promptly.

7. Chargebacks

7.1If you believe a charge is incorrect, please contact us first - we will work to resolve it quickly. Filing a chargeback or payment dispute without contacting us may result in suspension of your account while the dispute is reviewed.

8. Changes to this policy

8.1We may update this Refund Policy from time to time. If we make material changes, we will update this page and revise the "Last updated" date above. The policy in effect at the time of your purchase applies to that purchase.

9. Contact

9.1Questions about refunds or billing? Contact us at [email protected].

This page is provided for general information and does not constitute legal advice. Please consult a qualified lawyer before relying on it.