Borrowing it
Nothing to install: this file belongs to redai-infra/Relax. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/redai-infra/Relax/main/AGENTS.mdgit clone --depth 1 https://github.com/redai-infra/RelaxWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/redai-infra/relax/agents-md)<a href="https://agentmods.dev/instructions/redai-infra/relax/agents-md"><img src="https://agentmods.dev/badge/instructions/redai-infra/relax/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/redai-infra/relax/agents-md"><img src="https://agentmods.dev/badge/instructions/redai-infra/relax/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01627 | $0.01627 |
| Opus 5.5 | $0.00651 | $0.00651 |
| Sonnet 5.5 | $0.00325 | $0.00325 |
| Haiku 4.5 | $0.00163 | $0.00163 |
Grade A, and why
Relax AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Relax
Relax 是一个基于 Ray Serve 的大模型强化学习训练框架，支持 Megatron 训练后端、SGLang 推理引擎、以及 GRPO/PPO/DAPO 等算法族。
Tech stack: Python 3.8+ · PyTorch · Megatron · SGLang · Ray / Ray Serve
Project Structure
relax/ 核心框架
├── core/ 编排层 — 训练循环、服务基类、全局注册表
├── components/ 组件层 — RL 服务组件（Ray Serve Deployment）
├── engine/ 引擎层 — Rollout 数据生成、奖励计算、请求路由
├── backends/ 后端层 — Megatron 训练后端、SGLang 推理引擎
├── distributed/ 分布式层 — Ray 集群管理、分布式 Checkpoint
├── entrypoints/ 入口层 — 训练入口脚本
└── utils/ 基础设施 — 工具函数、指标监控、多模态处理
tests/ 测试（镜像 relax/ 层级）
├── backends/megatron/ Megatron 后端测试（权重转换等）
├── distributed/ray/ 分布式 / Ray 测试（弹性伸缩等）
├── engine/rewards/ 奖励函数测试
├── engine/rollout/ Rollout 引擎测试（预取、数据源等）
└── utils/ 工具函数测试（HTTP、指标、流式数据集等）
transfer_queue/ 分布式数据传输队列
examples/ 用户级示例（deepeyes、OPD 等）
scripts/ 训练启动脚本 & 模型配置
configs/env.yaml 运行时环境配置
修改代码时重点关注：relax/utils/utils.py、relax/components/、relax/core/controller.py、relax/entrypoints/train.py。
Code Standards
- Ruff 格式化，行宽 119，
isort管理导入（配置见pyproject.toml） relax/下所有.py须含版权头：# Copyright (c) 2026 Relax Authors. All Rights Reserved.- pre-commit 对
transfer_queue/排除大部分检查 - 日志统一用
relax.utils.logging_utils.get_logger(__name__)，禁止print/logging.getLogger - 显式类型注解；禁止通配导入（
from x import *）；重型可选依赖放函数内导入 - 热路径禁止 GPU-CPU 同步（
.item()、.tolist()、print(tensor)） - 组合优于继承，层级 ≤ 2；偏好委托
Naming Conventions
| 类型 | 模式 | 示例 |
|---|---|---|
| Service 类 | @serve.deployment |
Actor, Rollout, Critic, GenRM |
| 后端 Actor | XxxTrainRayActor |
MegatronTrainRayActor |
| Actor 组 | RayTrainGroup |
管理一组训练 Ray Actor |
| Manager | XxxManager |
RolloutManager, GenRMManager |
| Reward 函数 | engine/rewards/xxx.py |
deepscaler.py, math_utils.py |
| 数据源 | XxxDataSource |
RolloutDataSource |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 119 lines · 1,627 tokens per session scan A 38b8d985315a
Relax AGENTS.md is an instructions file published in the GitHub repository redai-infra/Relax (580 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,627 tokens to every session, about $0.0065 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).