taskpile/docs/index.md at 9b77d6ea676aa249a9367fdcf081a70caa5d7a70

Files

Alvis 9b77d6ea67 Add MLOps feature store, fix UI layout, add docs and Gitea remote

Backend:
- Replace on-the-fly Ollama calls with versioned feature store (task_features, task_edges)
- Background Tokio worker drains pending rows; write path returns immediately
- MLConfig versioning: changing model IDs triggers automatic backfill via next_stale()
- AppState with FromRef; new GET /api/ml/status observability endpoint
- Idempotent mark_pending (content hash guards), retry failed rows after 30s
- Remove tracked build artifacts (backend/target/, frontend/.next/, node_modules/)

Frontend:
- TaskItem: items-center alignment (fixes checkbox/text offset), break-words for overflow
- TaskDetailPanel: fix invisible AI context (text-gray-700→text-gray-400), show all fields
- TaskDetailPanel: pending placeholder when latent_desc not yet computed, show task ID
- GraphView: surface pending_count as amber pulsing "analyzing N tasks…" hint in legend
- Fix Task.created_at type (number/Unix seconds, not string)
- Auth gate: LoginPage + sessionStorage; fix e2e tests to bypass gate in jsdom
- Fix deleteTask test assertion and '1 remaining'→'1 left' stale text

Docs:
- VitePress docs in docs/ with guide, MLOps pipeline, and API reference

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-10 06:16:28 +00:00

1.3 KiB

Raw Blame History

layout, hero, features

layout

hero

features

home

name

text

tagline

actions

Taskpile

Task manager with intelligent graph visualization

Force-directed graphs powered by semantic embeddings. MLOps-grade feature store. Zero-latency writes.

theme	text	link
brand	Get Started	/guide/getting-started

theme	text	link
alt	Architecture	/guide/architecture

icon	title	details
🕸️	Force-directed graph	Tasks are laid out as nodes connected by semantic similarity edges. Select any node to explore its 2-hop neighborhood with smooth physics animation.

icon	title	details
🤖	MLOps feature store	Descriptions and embeddings are computed once, versioned by model+prompt, and served instantly. Changing a model config triggers automatic backfill — no manual intervention needed.

icon	title	details
⚡	Zero-latency writes	Creating or updating tasks returns immediately. Background Tokio worker drains the pending queue asynchronously. The graph always shows whatever is ready.

icon	title	details
🔍	Semantic edge weights	Task pairs are connected by cosine similarity of their nomic-embed-text embeddings. Higher similarity → thicker, more opaque edges. An in-graph slider adjusts the visibility threshold in real time.

1.3 KiB Raw Blame History

1.3 KiB

Raw Blame History