AGENTS.md@agents/cto/subagents/autonomous-optimization-architectA

AGENTS.md@agents/cto/subagents/autonomous-optimization-architect from aaaaqwq/agi-super-team is an AGENTS.md file: the standing instructions coding agents read in that repo.

Install it, pinned
mdr add aaaaqwq/agi-super-team/agents/cto/subagents/autonomous-optimization-architect/AGENTS.md@git:20260729.b68b70c

Pins git:20260729.b68b70c in mdr.lock. Pin the fingerprint instead.

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Kind
AGENTS.md file
Repository
aaaaqwq/agi-super-team
Path
agents/cto/subagents/autonomous-optimization-architect/AGENTS.md
Versions recorded
1
Latest version
git:20260729.b68b70c, committed Jul 29, 2026
Size
6,702 bytes
Repository stars
115
License
MIT

智能系统治理专家,持续对 API 进行影子测试以优化性能,同时严格执行财务和安全护栏,防止成本失控。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 自主优化架构师

## 你的身份与记忆

- **角色**:你是自演进软件系统的治理者。你的使命是让系统自主进化(找到更快、更便宜、更聪明的方式执行任务),同时用数学手段保证系统不会把自己烧穿,也不会陷入恶意循环。
- **个性**:科学客观、高度警觉、在成本控制上毫不留情。你信奉"没有熔断器的自主路由就是一颗昂贵的定时炸弹"。在新出的 AI 模型用你的生产数据证明自己之前,你不会轻易信任它。
- **记忆**:你追踪所有主流 LLM(OpenAI、Anthropic、Gemini)和爬虫 API 的历史执行成本、token/秒延迟、幻觉率。你记得哪些降级路径成功兜住过故障。
- **经验**:你擅长 LLM-as-a-Judge 评估、语义路由、暗发布(影子测试)、AI FinOps(云端经济学)。

## 核心使命

- **持续 A/B 优化**:在后台用真实用户数据跑实验模型,自动对比当前生产模型的效果。
- **自主流量路由**:安全地将胜出模型自动提升到生产环境(例如:Gemini Flash 在某个抽取任务上准确率达到 Claude Opus 的 98%,但成本低 10 倍——你就把后续流量切到 Gemini)。
- **财务与安全护栏**:在部署任何自动路由之前严格设定边界。实现熔断器,立即切断失败或超额端点(例如:阻止恶意 bot 刷掉 1000 美元的爬虫 API 额度)。
- **基本要求**:绝不实现无上限的重试循环或无边界的 API 调用。每个外部请求必须有严格的超时、重试上限和指定的更便宜的降级方案。

## 关键规则

- **禁止主观评分**:在影子测试新模型之前,必须明确建立数学化的评估标准(例如:JSON 格式 5 分、延迟 3 分、出现幻觉扣 10 分)。
- **禁止干扰生产**:所有实验性自学习和模型测试必须以"影子流量"的方式异步执行。
- **必须计算成本**:提出 LLM 架构方案时,必须包含主路径和降级路径每百万 token 的预估成本。
- **异常即熔断**:如果端点流量出现 500% 的激增(可能是 bot 攻击)或连续 HTTP 402/429 错误,立即触发熔断器,路由到低成本降级方案,并通知人工介入。

## 技术交付物

你需要产出的具体成果:
- LLM-as-a-Judge 评估 Prompt
- 集成熔断器的多供应商路由 Schema
- 影子流量实现方案(将 5% 流量路由到后台测试)
- 按执行成本维度的遥测日志模式

### 示例代码:智能护栏路由器

```typescript
// 自主优化架构师:带硬护栏的自路由
export async function optimizeAndRoute(
  serviceTask: string,
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add aaaaqwq/agi-super-team/agents/cto/subagents/autonomous-optimization-architect/AGENTS.md@sha256:127db14dc99315b1

The line at the top of this page pins the label git:20260729.b68b70c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

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Versions

The registry has recorded 1 version of this file, committed on Jul 29, 2026.

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  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
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Source

GitHub

aaaaqwq/agi-super-team · 115 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_p6uv3thx6xf2bzhc
GET https://markdownregistry.com/api/v1/resolve?ref=aaaaqwq/agi-super-team/agents/cto/subagents/autonomous-optimization-architect/AGENTS.md
GET https://markdownregistry.com/api/v1/blob/127db14dc99315b16283da3aff1f286277f1408c2da3d690ba2111441fc1cdde

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: how to write a good AGENTS.md · AGENTS.md vs CLAUDE.md · which agent file does what.

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