⚡
Dashboard
// AI INFRASTRUCTURE · PREMIER
📡 OPENROUTER
MODEL REGISTRY
OMR polls OpenRouter's full model catalog on a schedule, detects every change — new models, removals, pricing shifts, and free-status transitions — and proposes a ranked fallback chain of validated free models for the platform's AI apps. You review and approve before anything goes live.
Premier
Active
v1.0.0
Auth Required
4
Change Dimensions
:free
Tier Tracked
Chain
Proposed Ordering
You
Approve Gate
// FULL FEATURE SET
Everything Needed to Keep the Fallback Chain Current
Scheduled Catalog Polling
A cron-driven cycle pulls OpenRouter's complete model list and snapshots it to
omr_snapshots / omr_models. Each run captures the full catalog state for diffing.4-Dimension Change Detection
Diffs each snapshot against the last to flag: new models added, models removed, pricing changes, and models that gained or lost
:free status — all logged with timestamps.Free-Model Validation
Candidate free models are probed for liveness before entering the chain. Only models that pass validation are considered for the proposed fallback order.
Ranked Chain Proposals
Validated free models are scored and ordered into a proposed fallback chain (A3 first), logged to
omr_chain. Every proposal is versioned — full history available.Telegram Alerts
Material changes — models gaining or losing free status, a new proposed chain — trigger an immediate Telegram alert with a summary of what changed and why it matters.
Approval Gate
Proposed chains require your explicit approval before downstream AI apps consume them. Approve from the dashboard — no code change needed to update the platform's fallback order.
Free Model Chat
Multi-turn chat with any free model in the catalog. Conversation history is persisted in the database and replayed as full context on every send — the model remembers previous turns. The header shows the selected model's context window, price, and when OMR first saw it; a card highlights the newest free model, and a live meter tracks context usage as you chat.
Model Arena
Send one prompt to multiple free models simultaneously and compare every response side by side. Click any result to open a slide panel with full model details and continue the conversation with that specific model — without leaving the screen.
// HOW IT WORKS — WALKTHROUGH
Keeping the AI Fallback Chain Current, Automatically
OMR runs a fully automated detect → propose → alert → approve loop. Every step is logged; every chain change requires human sign-off.
01
Poll the catalog
A scheduled cycle pulls OpenRouter's full model list. Every model's ID, name, pricing, and context window is captured and stored in
omr_snapshots / omr_models.02
Detect changes
The new snapshot is diffed against the previous one. Changes are classified into four buckets: new model, removed, pricing change, free-status shift.
03
Propose the fallback chain
Validated free models are probed for liveness and ordered into a proposed chain (A3 first). The proposal is logged to
omr_chain with its full ordered list and reasoning.04
Alert on material changes
When the free-model set or proposed chain shifts, OMR fires a Telegram alert summarising what became free, what lost free status, and the full proposed chain — before you even open the dashboard.
05
Approve before it goes live
Review the proposed chain in the dashboard. A single click marks it approved — downstream AI apps (A3 and others) consume only the active approved chain. No code change, no redeploy.
// GET STARTED
POLL. DETECT. APPROVE. COMPARE.
Keep the platform's AI fallback chain accurate without manual catalog checks.
Every free-model gain or loss surfaces automatically. Chat and compare models directly.
Premier app — requires MelTuc account