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LLM observability — what to record so you can fix it later

The failure mode is not a crash, it is a confident wrong answer. Prices below were checked on each vendor's pricing page in November 2026.

AI Tools Hub Editorial · published · updated

Five things worth recording

  • Which prompt version ran
  • What retrieval returned — in RAG this is usually the culprit
  • Model and parameters
  • Token counts and latency
  • What the user did next: retried, rephrased, left

The second is the most important and the most commonly missing. Without it you cannot separate a model problem from a retrieval problem, and every fix becomes a guess.

The options

LangfuseHeliconePortkeyBraintrust
Free tier50k units/mo, 30-day retention10k requests/mo10k logs/mo, 3-day retention$10 model credits
Entry paid$29/mo$79/mo$49/mo$249/mo
Open sourceYesYesYesNot stated
IntegrationSDK tracesGatewayGatewaySDK
OpenTelemetryYes———
Checked November 2026.

Two integration shapes

SDK-based tools let you decide what constitutes one trace, which is what you need for multi-step agents. Gateway tools start recording the moment you change a base URL, but they only see the model call — not what happened inside your application.

For single-shot calls, the gateway is faster to adopt. For agents that retrieve, decide and call tools, only tracing lets you find the cause.

Count your units before trusting the free tier

Langfuse counts each trace, observation and score as a unit. A five-step agent produces six to ten units per run, so 50,000 units is roughly 5,000–8,000 runs. A simple chat uses two or three, which is closer to 20,000 runs on the same allowance.

FAQ

Isn't our existing APM enough?

It covers latency and errors. It does not capture prompt version, retrieval results or token counts. Langfuse speaks OpenTelemetry, so it can sit alongside what you already run.

Should we self-host?

Traces contain raw user input. If that cannot go to a third party, self-hosting is the only option. If it can, managed is cheaper once you count the operational time.

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