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.
A transparent view of Maple's development. See what's shipped, what's in progress, and where we're headed next.
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.
SDKを追加し、OTLPエクスポーターをMapleに向ければトレースが届きます。
maple.dev：OpenTelemetryの上のオブザーバビリティ