AI Agent Observability Open Source: Tools, Tradeoffs, and When to Build vs. Buy
Once an AI agent moves past a demo and into production, the question of whether it’s working correctly stops being rhetorical. Teams need to see what the agent actually did throughout its lifecycle: which tools it called, what it retrieved, how it reasoned through a task, and where it potentially went off track. That visibility … Continued
