ai Q3 2026
AI observability
Monitoring for AI and LLM workloads: token usage, model latency, prompt and completion pairs, and cost per inference across providers.
Being built right now.
Monitoring for AI and LLM workloads: token usage, model latency, prompt and completion pairs, and cost per inference across providers.
Committed and queued up.
Simplified self-hosting with a single-command deployment and automated configuration.
On the radar, still being scoped.
Dedicated dashboards for API endpoints with per-route latency, error rates, request volume, and payload size tracking.
SDK를 추가하고 OTLP 익스포터를 Maple로 향하게 하면 트레이스가 도착합니다.
maple.dev: OpenTelemetry 위의 옵저버빌리티