View-oriented Conversation Compiler for Agent Trace Analysis
We observe that an agent trace is a structured document. A coding agent session contains user turns, assistant text, chain of thought blocks, tool calls, tool results, subagent invocations, compaction boundaries, and harness injected directives, and may exceed ten thousand JSONL lines. Effective trace analysis requires a lossless record, a session level overview, and content retrieval with conversational roles. To this end, we propose VCC, namely View oriented Conversation Compiler, which lexes, parses, and lowers a raw JSONL log into three views based on one intermediate representation. The full view provides the lossless transcript and defines the line number coordinate system. The UI v...
| Authors | Lvmin Zhang, Maneesh Agrawala |
|---|---|
| Primary category | cs.AI |
| Published | 31 March 2026 |
| Last updated at source | 30 August 2026 |
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