AI Agents in Production Are Flying Blind — AgentLens Fixes That

The Visibility Problem Running an AI agent in production means dealing with a problem most developers hit quickly. The agent makes 15–20 LLM calls per session — chained, conditional, sometimes parallel. Something goes wrong. The output is bad, the cost spiked, or the agent looped. And there's no answer to any of these questions: Which specific call failed? What did the model actually receive? What did it return? How much did this session cost? Where in the run did it break? Why E...