Files
my-vault/01_Projects/Personal-Tech/LLM_Evaluation/04-Reference/04-Agent-Safety-and-Environments.md
T
windyboy 0dac58fb6f reconcile LLM_Evaluation zone: align stage numbering and scopes, standardize full-path wikilinks, slim old guidebook notes, dedupe templates
- fix stage-numbering conflict (README vs 05-Progress) and unify stage-1 reading scope
- resolve AWS workshop prerequisite contradiction in 04-Reference/01
- convert medium-path wikilinks to vault-root paths (~30 links), fix .pyy typos, annotate ragas fork, unify archive status, add 01-/02- README hubs
- compress old-version guidebook notes (01, 05) into pointers; add 2026 reading guidance to 00-Overview
- dedupe project templates and remove embedded template copy in 03-Practice/README
2026-08-24 11:15:37 +08:00

34 lines
1.2 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
---
type: reference
tags:
- llm-evaluation
- agent-evaluation
- safety
status: active
created: 2026-08-21
---
# 04 · Agent Safety and Environments
主题:Tool Use、Authorization、Sandbox、Trajectory、Interactive Environment
## 核心资源
### 1. Inspect AI Sandbox + AISI
- 重点看如何安全运行不可信 Agent / 代码
- 如何把 sandbox 当成评测基础设施的一部分
- Trace 的完整记录方式
### 2. BenchFlow
- 代表重要趋势:Static Dataset → Interactive Environment
- 对 Agent 来说,Prompt + Response 已经不够
- 真正要测:State → Action → Tool → Trajectory → Outcome
- "Environment is data" 的思路值得长期关注
- 但这是后期内容,必须先掌握 Task / Trial / Trace / Outcome / Harness
### 3. AWS Workshop 中的相关模块
- Tool Calling 的 5 种渐进式评测
- Red Teaming 示例
> 🔗 本页资源的完整链接、来源背景与上手建议见 [[01_Projects/Personal-Tech/LLM_Evaluation/04-Reference/archive/01-Curated-External-Resources|archive/01-Curated-External-Resources]]"国家级与顶级学术机构"的 AISI 一节与"解决环境即数据的下一代框架"一节)。