← 返回
未分类

Fast Response Optimizer

Response speed optimizer - implements reply-first-then-process, parallel tool calls, and memory file caching
响应速度优化器 - 实现先回复后处理、并行工具调用和内存文件缓存
opendolph opendolph 来源
未分类 clawhub v1.0.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 379
下载
💾 0
安装
1
版本
#latest

概述

Fast Response Optimizer ⚡

> Reduce response time from 5-20 seconds to under 1 second


Core Optimization Strategies

1. Reply First, Process Later

Rule:

  • Receive request → Immediately reply "Received/Processing" → Execute in background → Push result when done

Implementation:

// Quick reply
await message.send("Received, processing...");

// Background execution
const result = await processInBackground(task);

// Push result
await message.send(result);

2. Parallel Tool Execution

Rule:

  • Execute independent tool calls in parallel instead of waiting sequentially

Implementation:

// Before (sequential)
const result1 = await toolA();
const result2 = await toolB();
const result3 = await toolC();

// After (parallel)
const [result1, result2, result3] = await Promise.all([
  toolA(),
  toolB(),
  toolC()
]);

3. Memory File Caching

Rule:

  • Load cache every 1 minute via scheduled task
  • Reload cache if more than 1 minute since last message
  • Cache stored in SESSION-STATE.md

Implementation:

// Cache structure
const cache = {
  lastUpdate: timestamp,
  userProfile: {...},
  memorySummary: {...},
  skills: [...]
};

// Check if refresh needed
if (now - lastMessage > 60000 || now - cache.lastUpdate > 60000) {
  await refreshCache();
}

Trigger Conditions

ScenarioTrigger Method
--------------------------
Auto-triggerExecute on every message processing
Scheduled refreshCron job every 1 minute
Manual triggerUser inputs "refresh cache"

Cache Files

SESSION-STATE.md          # Active state + cache
├── cache/               # Cache directory
│   ├── user_profile.json    # User profile cache
│   ├── memory_summary.json  # Memory summary cache
│   └── skills_list.json     # Skills list cache
└── last_refresh.txt     # Last refresh timestamp

Performance Goals

MetricBeforeAfter
-----------------------
First Response5-20s<1s
Tool CallsSequential accumulationParallel execution
File ReadingRead every timeCache hit
Cache RefreshNoneEvery 1 min / >1 min

Usage

# Initialize optimizer
node skills/fast-response-optimizer/bootstrap.js

# Manual cache refresh
node skills/fast-response-optimizer/scripts/cache-manager.js refresh

# Check cache status
node skills/fast-response-optimizer/scripts/cache-manager.js status

# Update message timestamp
node skills/fast-response-optimizer/scripts/cache-manager.js message

Make every response lightning fast ⚡

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-03 09:08 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

ai-agent

self-improving agent

pskoett
记录自身发现以实现自我改进的技能
★ 4,166 📥 939,654
ai-agent

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,444 📥 328,865
ai-agent

Find Skills

root
帮助用户发现和安装智能体技能,当用户询问如「如何做X」、「找X的技能」、「有能做...的吗」等问题时
★ 1,519 📥 577,753