Analyzing AI Agent Interaction Sessions and Runtime Usage

Summary:

This is part of a series of Quick Reference Guide "Frequently Asked Questions and Answers"

Content (please ensure you mask any confidential information):

This BIP report provides session-level metrics for Fusion AI agent interactions. Each row represents a discrete interaction session containing one or more conversational turns and associated LLM API calls.

The report enables analysis of:
• Temporal usage patterns (when agents are invoked)
• Usage intensity (interaction frequency and depth)
• Behavioral evolution across workflow versions

Additional Resource
Report on AI Agent Adoption and Usage: Seeded, Derived, and Custom-Built (link)
Single or Multi-Turn? What Users Really Need—and What’s Happening Inside AI Agent Conversations (