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LLM agent observability

Tools and practices for watching, tracing, replaying and costing the actions of AI agents built on large language models.

Current clusters

build1 publisher

FORGE's simulator passed for real agents because both emit the same events

FORGE's developer computed every screen of a multi-agent research app from each run's event log, so a simulated run looked identical to a real one. That let real agents replace the simulator with no UI changes, and it let a default simulated run answer the wrong question with confidence.

Publishers:dev.to

Reality

Evidence45
Adoption
Insufficient
Hype gap0
Incentives
Insufficient
Confidence55