AI Interfaces
Model Consensus Panel
A multi-model decision surface that exposes agreement, confidence, and minority concerns.
Installation
Copy and paste the code into your project.
Accessibility notes
Every vote includes model, confidence, and verdict text, with disagreement summarized explicitly.
Model consensus
Release recommendation
- Analyst92%Approve
- Verifier87%Approve
- Skeptic64%Review
Minority concern: insufficient rollback evidence.
Preview accent
const votes = [{ model: "Analyst", verdict: "Approve" }, { model: "Verifier", verdict: "Approve" }, { model: "Skeptic", verdict: "Review" }]; export function ModelConsensusPanel() { return <ul>{votes.map((vote) => <li key={vote.model}>{vote.model}: {vote.verdict}</li>)}</ul>; }<ModelConsensusPanel />Related components
Model availability
Regional endpoints
Reasoning
US East
620ms
Available
Realtime
Europe
94ms
Available
Vision
Asia Pacific
—
Degraded
AI Interfaces
Model Availability Grid
A regional model status grid showing endpoint health and observed latency.
Evaluation run
Support answer quality
Fast
v2-mini
86%
quality score
- Latency
- 420ms
- Cost / 1k
- $0.18
Balanced
v3
94%
quality score
- Latency
- 880ms
- Cost / 1k
- $0.42
Balanced improves groundedness by 9 points with a 460ms latency tradeoff.
AI Interfaces
Model Eval Comparison
A side-by-side model decision card balancing quality, latency, cost, and groundedness.
Resilience route
Response fallback chain
- 1Ready
Primary · v3
Default
- 2Standby
Fallback · v2-mini
Timeout > 2s
- 3Last resort
Cached response
Providers unavailable
Requests preserve the same output schema across every route.
AI Interfaces
Model Fallback Route
A resilience chain showing primary, fallback, and cached response routes with activation conditions.