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LLM observability is now a production requirement. Tracing, cost, and quality monitoring with OpenTelemetry GenAI; 90% savings with semantic caching; a KVKK-compliant content-logging guide.
What is LLM observability? LLM observability is the practice of tracing every request of a language model application end to end, making prompts, responses, latency, cost, and quality visible. This guide: a clear definition, why it matters, how tracing works, Langfuse and OpenTelemetry, production monitoring metrics, evaluation, KVKK, and FAQs.
The OpenTelemetry GenAI Semantic Conventions standardized LLM tracing. A guide to building an observability pipeline for production LLM systems with token, cost, quality and KVKK balance.
OpenTelemetry GenAI conventions make LLM and agent systems observable in production. Track tokens, cost, latency, and quality while escaping vendor lock-in.