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neuron-tai/docs/issues/43-dashboard-model-search-cards.md
2026-07-06 17:11:53 +03:00

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# US-043 — Dashboard model search and model cards
Status: planned
Priority: Medium (post-deploy polish)
Stage: Idea
## Context
The dashboard shows nodes/routes/billing but nothing model-centric. Operators
and testers should be able to search for a model and see, per model, a card
with what the network knows about it.
## Scope
- **Search**: query box hitting a new tracker endpoint that proxies the HF Hub
search API (server-side, so the dashboard stays CSP-clean and unauthenticated
browsers aren't rate-limited) merged with the tracker's own model presets and
currently-served models.
- **Model card** per result:
- name, architecture, params, layer count (reuse `model_metadata_for`,
which now handles nested `text_config` — US layer-detection fix)
- coverage on the network: which layer ranges are served, by how many nodes,
coverage gaps (the Coverage Map already exists on the tracker)
- price per 1K tokens, availability (routable now? single-hop or pipeline?)
- memory footprint per quantization where known (bf16 / GGUF sizes)
- action: "request this model" — flags demand so node operators (or
auto-shard assignment) know what to load next
- Featured models section driven by the curated catalog (`CURATED_MODELS`),
including GGUF entries once US-042 lands.
## Acceptance criteria
- Searching a HF repo id or free text returns results without the browser
calling HF directly
- A served model's card shows live coverage and a working "chat now" state
- An unserved model's card shows the "request" action and estimated memory
per quant
- `python -m pytest` passes from repo root