AI observability — monitoring LLM v produkci

Nasadili jste LLM do produkce. Jak dobře funguje? Kolik stojí? Halucinuje víc? Potřebujete AI observability.

Co měřit¶

• Latency: TTFT, total generation time
• Cost: Token usage per request/user/feature
• Quality: User feedback, LLM-as-judge scores
• Errors: API failures, rate limits, timeout

Tooling¶

LangSmith: Tracing, evaluation. Langfuse: Open-source, self-hostable — naše volba. Arize Phoenix: Evals a experiments.

Cost management¶

• Dashboard s real-time cost per feature
• Alerting na cost anomálie
• Prompt optimization reviews
• Model routing — levnější model kde stačí

AI bez observability je ticking bomb¶

Implementujte tracing od dne jedna. Langfuse pro self-hosted, LangSmith pro convenience.