AI observability
5 reviewed tools
1. Helicone AI
Helicone combines an AI gateway with LLM observability to help teams route requests, debug applications, and analyze usage. Features include caching, rate limits, automatic fallbacks, prompt testing, and alerts.
FreemiumDetails read from the tool's own site · 6 Nov 2026helicone.ai
2. Langfuse
Langfuse helps teams trace AI calls, evaluate agents, manage prompts, and monitor costs and latency. Available in the cloud or self-hosted, it includes datasets, experiments, dashboards, and API access.
FreemiumDetails read from the tool's own site · 6 Nov 2026langfuse.com
3. Lunary
Lunary helps teams trace AI agents, analyze usage and costs, manage prompts, and review LLM responses. It offers dashboards, feedback tracking, privacy controls, and enterprise self-hosting. New cloud workspaces require payment.
PaidDetails read from the tool's own site · 6 Nov 2026lunary.ai
4. Opik
Opik helps developers trace LLM calls, debug agent failures, evaluate outputs, and monitor costs and production performance. It offers test suites, AI-assisted fixes, and self-hosted or cloud deployment.
Open sourceDetails read from the tool's own site · 6 Nov 2026www.comet.com
5. Phoenix
Phoenix is a local-first, open-source platform for tracing AI agents, evaluating outputs, annotating failures, and testing improvements with datasets and experiments. Run it locally or self-host it on your infrastructure.
Open sourceDetails read from the tool's own site · 6 Nov 2026phoenix.arize.com