AgentOps

Open-source LLM observability. Self-hostable, OpenTelemetry-native.

Tracing, evals, prompt management, and dataset tooling for LLM apps — self-host on your own infra or use Langfuse Cloud. The open-source default when you want full ownership of your observability stack.

LLM tracing + evaluation. Strong on retrieval debugging.

Phoenix is Arize's observability platform — run locally in a notebook or as a hosted service. Especially strong for inspecting RAG pipelines, finding bad chunks, and tracking retrieval quality over time.

Drop-in LLM proxy with logging, caching, and cost tracking.

One-line integration — change your OpenAI/Anthropic base URL and get a dashboard with every prompt, response, latency, and dollar tracked. Adds caching and rate-limit handling without code changes.

LLM observability built on OpenTelemetry.

A reliability platform for LLM apps: its open-source OpenLLMetry SDK instruments LLM, vector-DB, and framework calls as standard OpenTelemetry spans, which Traceloop's hosted dashboard turns into traces, cost/latency analytics, and quality monitoring. Because the data is plain OTel, you can pipe it to existing observability stacks instead of a proprietary one.