View-oriented Conversation Compiler for Agent Trace Analysis

📰 ArXiv cs.AI

Researchers propose a view-oriented conversation compiler for analyzing agent traces in complex conversations

advanced Published 1 Apr 2026

Action Steps

Identify complex conversation structures in agent traces
Develop a view-oriented conversation compiler to analyze these structures
Apply the compiler to agent traces to extract insights and improve system understanding
Integrate the compiler into existing agent-based systems to enhance performance and decision-making

Who Needs to Know This

AI researchers and engineers working on agent-based systems can benefit from this approach to analyze and understand agent conversations, improving overall system performance and decision-making

Key Insight

💡 Complex conversation structures in agent traces can be analyzed using a view-oriented conversation compiler to improve system understanding and performance

Key Takeaways

Researchers propose a view-oriented conversation compiler for analyzing agent traces in complex conversations

Full Article

Title: View-oriented Conversation Compiler for Agent Trace Analysis

Abstract:
arXiv:2603.29678v1 Announce Type: new Abstract: Agent traces carry increasing analytical value in the era of context learning and harness-driven agentic cognition, yet most prior work treats conversation format as a trivial engineering detail. Modern agent conversations contain deeply structured content, including nested tool calls and results, chain-of-thought reasoning blocks, sub-agent invocations, context-window compaction boundaries, and harness-injected system directives, whose complexity

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