Dictionary entry
AI observability
also AI system observability or GenAI observability
Definition of AI observability
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: the practice of collecting and connecting traces, metrics, logs, evaluations, and other telemetry so that developers can understand how an AI application behaves in production and why it produced a particular result
- The team used AI observability to trace the wrong answer from the final response back to a failed retrieval step.
- Their observability dashboard tracked model calls, tool use, token cost, latency, and quality scores for every agent version.
Origin & history
AI observability extends the software-engineering concept of observability to machine-learning, generative-AI, and agent systems. The phrase became common in production AI engineering as teams adopted tracing and telemetry for prompts, retrieval, model calls, tool calls, evaluations, costs, and multi-step agent workflows.
Test yourself
Which of these is the meaning of AI observability?
Cite this entry
"AI observability." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/ai-observability/. Accessed 9 Oct. 2026.