FMR continuously discovers and validates free AI models across every provider that offers public inference. Every model is probed on three tiers — connectivity, authentication, and generation — so you always know which ones actually work. Validated models sync directly into MVS for immediate use.
The dashboard shows the current state of the entire model registry at a glance. Five stat tiles display total models, active and validated count, pending validation queue, dead or archived models, and provider count. The main model table is filterable by status, provider, and free-tier type. Each row shows the model identifier, provider, status badge, free-tier classification, and last validation timestamp.
Each model has a dedicated detail page showing its full record: provider, status, free-tier classification, API endpoint, discovery source, and consecutive failure count. The validation history table lists the last 10 probe runs with tier, result, HTTP status, latency in milliseconds, and any error message. A pattern of intermittent failures is visible at a glance.
All active, validated models in FMR can be pushed to the Model Vault Selector with a single admin action. The sync operation provisions each active model into the corresponding MVS provider entry — creating models that don't exist yet and skipping ones already present. The result reports exactly how many were provisioned, skipped, and errored so nothing is left ambiguous.
FMR scans four source types every six hours. Each discovery scan run is logged with source, start time, duration, and the number of new model candidates found. All enabled sources can be individually toggled in the admin panel.
Every discovered model is probed on three escalating tiers. A model reaches active status only if all three pass. After five consecutive failures it is marked dead. After fourteen days dead it is archived. Cron runs validation every hour.
FMR runs fully automated — discovery, validation, and MVS sync happen on cron without any manual intervention.
Scans Reddit, GitHub, Hacker News, and HuggingFace every 6 hours to surface new free-tier model endpoints before you'd find them manually.
Every model is probed on connectivity, auth, and live generation. Only models that pass all three tiers reach active status — no dead endpoints in your pool.
Per-model history logs every probe result — tier, HTTP status, latency, and error. Intermittent failures are visible at a glance before they become outages.
One-click sync pushes all active validated models directly into the Model Vault Selector — provisioned, skipped, and error counts reported for full transparency.
Models are classified by provider and free-tier type — truly_free, free_with_key, or rate_limited — so you always know what credentials are required.
Trigger discovery and validation runs on demand, toggle individual sources, and manage the test prompt library — all from the admin panel without touching code.
Continuous discovery. Three-tier validation. Direct sync to your AI router. Every free model, always current.
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