{
  "slug": "langfuse",
  "name": "Langfuse",
  "url": "https://langfuse.com",
  "cat": "ai",
  "group": "ai",
  "tagline": "Open-source LLM observability",
  "price": "Hobby free (50k units/mo, 30-day retention, 2 users), Core $29/mo (100k units), Pro $199/mo, Enterprise $2,499/mo; extra units $8 per 100k. Self-hosting free and open source.",
  "tier": "mixed",
  "pick": false,
  "what": "Open-source LLM <b>observability</b>: 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": "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.",
  "warn": "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.",
  "install": "pip install langfuse (or npm i langfuse)",
  "category": {
    "key": "ai",
    "name": "Model APIs, routers & observability",
    "desc": "Providers, gateways, inference hosts and eval layers — constantly conflated, listed separately here.",
    "group": "ai",
    "groupName": "Put AI inside it"
  },
  "freshness": null,
  "health": {
    "ok": true,
    "status_code": 200,
    "final_url": "https://langfuse.com/",
    "checked_at": "2026-08-18T18:45:10.648+00:00"
  },
  "corrected_at": null,
  "upstream_changed_at": null
}