AI agent builders struggle with cost tracking and observability, seeking better solutions for monitoring token spend and workflow expenses.

Hidden token spending and unexpected retries/loops make it difficult for developers to predict and control AI agent costs

Lack of visibility into which specific workflows consume the most resources hampers optimization efforts

Current tools fail to provide granular cost breakdowns by individual user or agent, complicating billing and performance analysis

Community is actively seeking recommendations for logging, tracing, budgeting, and cost monitoring solutions tailored to AI agents