TLDR Tech / Practical
Patterns for tracking agent execution in AI systems
The article explores emerging patterns for tracing agent execution in AI systems, detailing how different platforms monitor models, harnesses, native logs, and environments. It covers techniques such as logging model API calls, using instrumented harnesses, implementing distributed tracing with OpenTelemetry, and collecting environment artifacts. The piece also discusses how enriching traces semantically and utilizing trace datasets can enhance agent evaluation and debugging.
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