AI tools for “observability”
88 results (tools & skills) · 136 ms · understood as by meaning
…models, evaluation models, BYOK, budgets, spend reporting, observability, compatible APIs, and coding-agent configuration. Use when adding AI Gateway to an app, migrating provider calls, choosing models or providers,…
…products), payments (checkout, subscriptions, billing), observability/monitoring, messaging/email, search, or CMS — or when discovering, installing, or managing…
…correctness, file transfer, bulk work, rate limits, and observability; not one-off CLI or MCP content…
…"investigate incident", or any request to pull observability or monitoring data. Also triggers when the user mentions APM, distributed tracing, golden signals, Errors Inbox, or synthetic monitors. Always…
A concise feature matrix for deciding which PlanetScale safety, observability, and automation recommendations apply by engine.
…continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified. Use when the user wants evaluations that automatically score new generations or whole traces…
…distributions, trace IDs, or span attributes — not AI observability traces or product logs. Uses posthog:apm-service-health, posthog:query-apm-spans, posthog:apm-trace-get, posthog:apm-spans-sparkline,…
Investigate AI observability evaluations — `hog` (deterministic code-based), `llm_judge` (LLM-prompt-based), and `sentiment` (user-message sentiment). Find existing evaluations, inspect their configuration, run them…