AI Topic: Observability Platforms

AI observability platform for building, evaluating, monitoring, and shipping quality AI products.

Helicone provides observability and analytics for large language model usage via a web dashboard and API to capture telemetry, metrics, and logs from LLM calls.

Open-source LLMOps platform for prompt management, evaluation, and observability for developer and product teams.

An open-source developer toolkit (use workflow) that makes JavaScript and TypeScript functions durable, enabling resumable, stateful workflows with built-in retries and observability.

Full-stack observability platform that consolidates logs, metrics, traces, RUM, and synthetic tests and uses AI to detect and automatically remediate issues.

End-to-end platform for LLM evaluation and observability that benchmarks, tests, monitors, and traces LLM applications to prevent regressions and optimize performance.

End-to-end platform for generative AI evaluation, observability, and real-time protection that helps teams test, monitor, and guard production AI applications.

Automated evaluation and monitoring platform that scores, detects failures, and optimizes LLMs and AI agents using evaluation models, experiments, traces, and an API/SDK ecosystem.