How to Debug and Improve AI Agents Using Observability Tools #ai #aiagents #observability
๐ Observability & Evaluation in AI Agents | Build Better with Feedback Loops
In this video, we dive deep into the observability and evaluation layer of agentic AI systems โ the crucial feedback loop that helps you understand, evaluate, and continuously improve your AI agents.
Youโll learn:
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How to trace agent behavior step by step using observability tools like Phoenix (open source from Arize)
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Ways to evaluate agent performance using code-based tests or LLM-based critiques
โ
How to collect real-world user data and convert it into datasets for labeling, fine-tuning, and prompt optimizatiโฆ
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