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Langfuse

Open-source LLM observability

Free tier + paidModel APIs, routers & observabilitylangfuse.com

What it is

Open-source LLM observability: traces, prompt management, evals, datasets and cost tracking, framework-agnostic via OpenTelemetry and SDKs. It is purely an observability layer — it does not proxy or route your inference, so it cannot break the request path.

Why it earns a slot

Self-hostable with Docker Compose, so you can keep prompt and completion data entirely on your own infrastructure — the usual blocker for observability SaaS. The free cloud tier is generous enough for a small product.

Know before you commit

Billing is in 'units', not requests — one trace with many spans and scored evals consumes several, so a chatty agent hits the 50k free ceiling faster than the number suggests.

Getting started

pip install langfuse (or npm i langfuse)

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