The core topic is adding to agents powered by LLMs. helps track what an agent did, when it called a model, and how its steps flowed during a task. The available item is only title-level, so no specific tool, number, step, or result is confirmed.
Key points
The item is about building for .
No specific product, code, metric, or case study is available from the provided content.
Tracking and agent steps can help identify token and cost waste.