The Agent Architect #31: Sliding Window Management

本周模式

Sliding Window Management

是什么:

在执行过程中动态收缩或扩展上下文窗口，优先保留近期且相关的信息，同时丢弃不太重要的较早内容。

何时使用:

长时间运行的任务中，完整对话历史超出了 token 上限，你需要保留任务关键信息，同时舍弃枝节细节。

注意:

相关性评分基于启发式规则，你可能会误删后续需要的上下文，导致智能体重复劳动或丢失重要约束。

本周智能体AI动态

• A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facilityarXiv cs.AI

  APS-RAG is a deployed retrieval-augmented generation platform that integrates decades of operational knowledge from scientific facilities including logbooks, documents, and control-system data.

• Agentic Permissions Policy Algebra for Taint Confinement in LLM AgentsarXiv cs.AI

  APPA is a permissions policy algebra for LLM agents that enables selective taint tracking to balance security against prompt injection while maintaining utility.

• Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-SciencearXiv cs.AI

  Four major LLM families show inconsistent and non-transparent stances on contested scientific claims across multiple time snapshots.

• CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal InferencearXiv cs.AI

  Framework automates causal inference research by using formal verification instead of LLM reviewers to evaluate candidate results.

• TRACE-ROUTER: Task-Consistent and Adaptive Online Routing for Agentic AIarXiv cs.AI

  Router selects LLMs for agentic workflows by considering task-level outcomes rather than making independent per-call decisions.