文章与笔记

Technical research notes and engineering experiments

系列专题

Agent Runtime Lab: From Packet Capture to Replay

16 篇文章,按顺序阅读或从当前问题进入。

系列 Agent Runtime Lab: From Packet Capture to Replay

13. Multi-Agent Value Is Not Multiple Models Running

Concurrency is scheduling; the engineering value of a child Agent comes from an explicit task boundary

系列 Agent Runtime Lab: From Packet Capture to Replay

14. Recording a Replayable Agent Trace

Replay reconstructs decisions and external actions in causal order; it is not a second rendering of the final answer

系列 Agent Runtime Lab: From Packet Capture to Replay

05. What Happens After the Model Calls a Tool

A model tool call is an execution request, not evidence that the action has happened

系列 Agent Runtime Lab: From Packet Capture to Replay

03. Where Prompt Injection Enters an Agent

Text entering context is only the first step; impact depends on source handling, permission checks, and side-effect boundaries

系列 Agent Runtime Lab: From Packet Capture to Replay

11. Which Layer Should Handle an Agent Error?

A 403, an invalid argument, a denied operation, and a failed process all stop a task but require different handling

系列 Agent Runtime Lab: From Packet Capture to Replay

08. Why an Agent Needs a State Machine

Conversation records what the model saw; state records what the runtime has actually completed