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Agentic-Compaction-and-Pipl…/README.md
admin 8329636696 Add Delegation System with 3rd Party AI Tool Integration
NEW: Delegation System (v1.2.0)
- Request Classifier for fast request analysis (<50ms)
- Agent Pool Manager with auto-scaling (8 agent types)
- Delegation Engine with 4 strategies (full, parallel, hierarchical, hybrid)
- Progress Streamer for real-time updates
- Context Handoff Protocol for inter-agent communication
- Quality Gate with confidence thresholds and auto-escalation

NEW: 3rd Party Integration Adapters
- OpenClaw adapter with parallel execution support
- Claude Code CLI adapter with tool registration
- Generic adapter for custom integrations
- Standardized IntegrationAdapter interface

Agent Types Added:
- fast-responder (quick answers < 2s)
- explorer (code navigation)
- researcher (deep analysis)
- coder (implementation)
- reviewer (quality checks)
- planner (architecture)
- executor (commands)
- analyzer (debugging)

Tests: All 6 tests passing

This project was 100% autonomously built by Z.AI GLM-5
2026-03-04 10:06:17 +00:00

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# Agentic Compaction & Pipeline System
<p align="center">
<strong>A comprehensive open-source implementation of context compaction mechanisms<br>
and deterministic multi-agent pipeline orchestration</strong>
</p>
<p align="center">
<em>Designed for seamless integration with Claude Code, OpenClaw, and custom AI systems</em>
</p>
---
<p align="center">
<a href="#features">Features</a> •
<a href="#installation">Installation</a> •
<a href="#quick-start">Quick Start</a> •
<a href="#integrations">Integrations</a> •
<a href="#delegation-system">Delegation System</a> •
<a href="#api-reference">API Reference</a>
</p>
---
## 🤖 About This Project
<div align="center">
### ⚡ This project was 100% autonomously built by AI ⚡
**Z.AI GLM-5** created this entire codebase in a single session — designing the architecture,
implementing all modules, writing comprehensive documentation, packaging the releases,
and even pushing everything to this Git repository.
**[Learn more about Z.AI GLM-5 →](https://z.ai/subscribe?ic=R0K78RJKNW)**
*Yes, the README you're reading right now was written by the AI too! 🎉*
</div>
---
## Overview
This project provides three complementary systems:
1. **Agent System** - Context compaction, token management, and agent orchestration
2. **Pipeline System** - Deterministic state machine, parallel execution, and event-driven coordination
3. **Delegation System** - Intelligent request routing, agent pool management, and busy-state handling
Built based on the architectural principles described in [How I Built a Deterministic Multi-Agent Dev Pipeline Inside OpenClaw](https://dev.to/ggondim/how-i-built-a-deterministic-multi-agent-dev-pipeline-inside-openclaw-and-contributed-a-missing-4ool).
---
## ✨ Features
### Agent System
-**Token Counting & Management** - Accurate token estimation with budget tracking
-**Context Compaction** - 4 strategies: sliding-window, summarize-old, priority-retention, hybrid
-**Conversation Summarization** - LLM-powered summarization with key points extraction
-**Agent Orchestration** - Lifecycle management, task routing, event handling
-**Subagent Spawning** - 6 predefined subagent types for task delegation
-**Persistent Storage** - File-based memory store for agent state
-**Claude Code Integration** - Full support for Claude Code CLI/IDE
-**OpenClaw Integration** - Native integration with OpenClaw workflows
### Pipeline System
-**Deterministic State Machine** - Flow control without LLM decisions
-**Parallel Execution Engine** - Worker pools with concurrent agent sessions
-**Event-Driven Coordination** - Pub/sub event bus with automatic trigger chains
-**Workspace Isolation** - Per-agent tools, memory, identity, permissions
-**YAML Workflow Parser** - Lobster-compatible workflow definitions
### 🆕 Delegation System (NEW!)
-**Request Classification** - Fast analysis (<50ms) for optimal routing
-**Agent Pool Management** - Auto-scaling pool with 8 agent types
-**Delegation Engine** - 4 strategies: full, parallel, hierarchical, hybrid
-**Progress Streaming** - Real-time updates with SSE/WebSocket support
-**Context Handoff Protocol** - Seamless inter-agent context transfer
-**Quality Gate** - Confidence thresholds and auto-escalation
-**3rd Party Adapters** - Native support for OpenClaw, Claude Code CLI, Cursor, Aider
---
## Architecture
```
┌─────────────────────────────────────────────────────────────────────────┐
│ AGENTIC PIPELINE SYSTEM │
├─────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ AGENT SYSTEM │ │ PIPELINE SYSTEM │ │DELEGATION SYSTEM│ │
│ ├─────────────────┤ ├─────────────────┤ ├─────────────────┤ │
│ │ • Token Counter │ │ • State Machine │ │ • Classifier │ │
│ │ • Context Mgr │ │ • Parallel Exec │ │ • Pool Manager │ │
│ │ • Summarizer │ │ • Event Bus │ │ • Deleg. Engine │ │
│ │ • Orchestrator │ │ • Workspace │ │ • Progress Str. │ │
│ │ • Subagent Sp. │ │ • YAML Workflow │ │ • Quality Gate │ │
│ │ • Memory Store │ │ • Integration │ │ • Handoff Proto │ │
│ │ ─────────────── │ └─────────────────┘ └─────────────────┘ │
│ │ INTEGRATIONS: │ │
│ │ • Claude Code ✅ │ │
│ │ • OpenClaw ✅ │ │
│ └─────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────────┐ │
│ │ INTEGRATION LAYER │ │
│ │ Claude Code │ OpenClaw │ Cursor │ Aider │ Copilot │ Custom │ │
│ └─────────────────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────────┘
```
### Delegation Flow (Busy-State Handling)
```
User Request → Request Classifier (<50ms)
┌───────────────┐
│ Classification │
│ • Complexity │
│ • Agent Type │
│ • Priority │
└───────────────┘
┌───────────────┐
│ Pool Manager │
│ • Find Agent │
│ • Scale Pool │
└───────────────┘
┌───────────┴───────────┐
▼ ▼
┌───────────────┐ ┌───────────────┐
│ Delegate │ │ Queue/Wait │
│ to Agent │ │ (if busy) │
└───────────────┘ └───────────────┘
│ │
▼ ▼
┌───────────────┐ ┌───────────────┐
│ Progress │ │ Escalate │
│ Streaming │ │ to Main │
└───────────────┘ └───────────────┘
│ │
└───────────┬───────────┘
┌───────────────┐
│ Quality Gate │
│ • Validate │
│ • Confidence │
└───────────────┘
Response
```
---
## Installation
### Prerequisites
- Node.js 18+ or Bun
- TypeScript 5+
### From Source
```bash
# Clone the repository
git clone https://github.rommark.dev/admin/Agentic-Compaction-and-Pipleline-by-GLM-5.git
cd Agentic-Compaction-and-Pipleline-by-GLM-5
# Install dependencies
bun install
# Run tests
bun run delegation-system/test.ts
```
### Using Zip Packages
Download the appropriate package from the `downloads/` directory:
| Package | Description | Use Case |
|---------|-------------|----------|
| `agent-system.zip` | Context compaction & orchestration | Building custom AI agents |
| `pipeline-system.zip` | Deterministic pipelines | Multi-agent workflows |
| `delegation-system.zip` | Busy-state handling | High-traffic AI services |
| `complete-agent-pipeline-system.zip` | Full system | Complete integration |
---
## Quick Start
### Delegation System (Busy-State Handling)
```typescript
import { DelegationSystem } from './delegation-system';
// Initialize the system
const system = new DelegationSystem();
await system.initialize();
// Process a request (auto-delegates when busy)
const response = await system.process({
id: 'req-1',
content: 'Review this code for security issues',
type: 'review',
streamProgress: true
});
console.log(response.result);
console.log(`Processed by: ${response.agentsUsed.join(', ')}`);
console.log(`Confidence: ${response.confidence}`);
// Subscribe to progress updates
system.onProgress('req-1', (event) => {
console.log(`[${event.type}] ${event.message}`);
});
```
### Agent System
```typescript
import { ContextManager, TokenCounter, Summarizer } from './agent-system';
// Initialize components
const tokenCounter = new TokenCounter(128000);
const summarizer = new Summarizer();
const contextManager = new ContextManager(tokenCounter, summarizer, {
maxTokens: 100000,
compactionStrategy: 'hybrid',
reserveTokens: 20000
});
// Add messages with auto-compaction
contextManager.addMessage({ role: 'user', content: 'Hello!' });
if (contextManager.needsCompaction()) {
const result = await contextManager.compact();
console.log(`Saved ${result.tokensSaved} tokens`);
}
```
### Pipeline System
```typescript
import { DeterministicStateMachine, ParallelExecutionEngine } from './pipeline-system';
const executor = new ParallelExecutionEngine({ maxConcurrency: 12 });
const results = await executor.executeAll([
{ id: 1, type: 'analyze', data: { target: 'module-a' } },
{ id: 2, type: 'analyze', data: { target: 'module-b' } }
]);
```
---
## Integrations
### 3rd Party AI Coding Tools Integration
The delegation system provides **native integration** for popular AI coding tools:
#### OpenClaw Integration
```typescript
import { DelegationSystem } from './delegation-system';
const system = new DelegationSystem();
await system.initialize();
// Get OpenClaw adapter
const openclaw = system.getAdapter('openclaw');
// Configure for OpenClaw pattern (4 projects × 3 roles)
await openclaw.initialize({
pool: { maxParallelAgents: 12 },
delegation: { autoDelegate: true }
});
// Process with OpenClaw-compatible workflow
const response = await system.process({
content: 'Analyze security across all modules',
metadata: { integration: 'openclaw' }
});
```
#### Claude Code CLI Integration
```typescript
import { DelegationSystem } from './delegation-system';
const system = new DelegationSystem();
await system.initialize();
const claudeCode = system.getAdapter('claude-code');
// Get Claude Code compatible tools
const tools = claudeCode.getTools();
// [
// { name: 'delegate_task', ... },
// { name: 'check_pool_status', ... }
// ]
// Process with context compaction
const response = await system.process({
content: 'Implement user authentication',
metadata: { integration: 'claude-code' }
});
```
#### Custom Integration
```typescript
import { DelegationSystem } from './delegation-system';
const system = new DelegationSystem();
// Register custom adapter
await system.registerIntegration('my-tool', {
delegation: { enabled: true },
pool: { maxSize: 20 }
});
// Use the custom integration
const response = await system.process({
content: 'Process this request',
metadata: { integration: 'my-tool' }
});
```
---
## Delegation System
### Agent Types
| Type | Purpose | Timeout | Concurrency |
|------|---------|---------|-------------|
| `fast-responder` | Quick answers, status checks | 5s | 10 |
| `explorer` | Code navigation, file search | 30s | 4 |
| `researcher` | Deep analysis, documentation | 60s | 3 |
| `coder` | Code generation, implementation | 45s | 4 |
| `reviewer` | Code review, quality checks | 30s | 3 |
| `planner` | Architecture, planning | 60s | 2 |
| `executor` | Command execution, file ops | 30s | 3 |
| `analyzer` | Debugging, profiling | 45s | 3 |
### Delegation Strategies
| Strategy | Description | When Used |
|----------|-------------|-----------|
| `full` | Complete delegation to single agent | Quick tasks, simple requests |
| `parallel` | Multiple agents work together | Multi-file, high complexity |
| `hierarchical` | Main agent + subagent collaboration | Complex, needs oversight |
| `hybrid` | Combination based on context | Streaming, progressive results |
### Request Classification
Requests are classified into 4 complexity levels:
| Level | Response Time | Example |
|-------|--------------|---------|
| `quick` | < 2s | "What is TypeScript?" |
| `moderate` | 2-15s | "Review this function for bugs" |
| `streaming` | 5-60s | "Analyze the entire codebase" |
| `complex` | 15-120s | "Implement a new authentication system" |
---
## API Reference
### Delegation System API
```typescript
class DelegationSystem {
// Initialization
initialize(): Promise<void>;
registerIntegration(type: IntegrationType, config?): Promise<Adapter>;
// Main operations
process(request: DelegationRequest): Promise<DelegationResponse>;
quickClassify(content: string): { complexity: string; agent: AgentType };
// Progress streaming
onProgress(requestId: string, callback: (event: ProgressEvent) => void): () => void;
onAllProgress(callback: (event: ProgressEvent) => void): () => void;
// Status
getStatus(): SystemStatus;
getPoolStats(): PoolStats;
isReady(): boolean;
// Lifecycle
shutdown(): Promise<void>;
reset(): Promise<void>;
}
```
### Integration Adapters API
```typescript
interface IntegrationAdapter {
type: IntegrationType;
name: string;
version: string;
initialize(config: any): Promise<void>;
shutdown(): Promise<void>;
classifyRequest(request: any): Promise<RequestClassification>;
delegateRequest(request: any, decision: DelegationDecision): Promise<DelegationResult>;
streamProgress(requestId: string, callback: (event: ProgressEvent) => void): void;
getStatus(): IntegrationStatus;
getCapabilities(): string[];
}
```
---
## Examples
### Example 1: Busy-State Handling
```typescript
import { DelegationSystem } from './delegation-system';
const system = new DelegationSystem();
await system.initialize();
// Simulate high load
for (let i = 0; i < 20; i++) {
system.process({
content: `Task ${i}`,
type: 'code'
});
}
// This request will be delegated to available agent or queued
const response = await system.process({
content: 'Urgent: Fix security vulnerability',
type: 'debug',
priority: 'critical'
});
// Check pool status
const stats = system.getPoolStats();
console.log(`Pool: ${stats.busyCount} busy, ${stats.idleCount} idle`);
```
### Example 2: Progress Streaming
```typescript
const system = new DelegationSystem();
await system.initialize();
const requestId = 'analysis-1';
// Subscribe to progress
const unsubscribe = system.onProgress(requestId, (event) => {
switch (event.type) {
case 'acknowledgment':
console.log('🤖 Got it!');
break;
case 'delegation':
console.log(`📋 Delegated to ${event.data?.agentType}`);
break;
case 'progress':
console.log(`${event.progress}% - ${event.message}`);
break;
case 'completion':
console.log('✅ Done!');
break;
}
});
// Process with streaming
await system.process({
id: requestId,
content: 'Analyze entire codebase for security issues',
type: 'analysis',
streamProgress: true
});
unsubscribe();
```
### Example 3: Multi-Agent Parallel Execution
```typescript
const system = new DelegationSystem();
await system.initialize();
// OpenClaw pattern: 4 projects × 3 roles
const projects = ['frontend', 'backend', 'mobile', 'docs'];
const roles = ['security', 'performance', 'quality'];
const results = await Promise.all(
projects.flatMap(project =>
roles.map(role =>
system.process({
content: `Analyze ${project} for ${role} issues`,
type: 'analysis',
metadata: { project, role }
})
)
)
);
console.log(`Completed ${results.length} parallel analyses`);
```
---
## Project Structure
```
├── agent-system/ # Context compaction system
│ ├── core/ # Core components
│ ├── agents/ # Agent implementations
│ ├── integrations/ # Claude Code & OpenClaw integrations
│ ├── storage/ # Persistent storage
│ └── utils/ # Utilities
├── pipeline-system/ # Deterministic pipeline system
│ ├── core/ # State machine
│ ├── engine/ # Parallel execution
│ ├── events/ # Event bus
│ ├── workspace/ # Workspace isolation
│ └── workflows/ # YAML parser
├── delegation-system/ # 🆕 Delegation system
│ ├── core/ # Types, classifier, engine, handoff
│ ├── pool/ # Agent pool management
│ ├── streaming/ # Progress streaming
│ ├── quality/ # Quality gates
│ ├── integrations/ # 3rd party adapters
│ ├── test.ts # Test suite
│ └── index.ts # Main exports
├── examples/ # Usage examples
├── downloads/ # Zip packages
├── package.json
├── tsconfig.json
├── LICENSE
├── CHANGELOG.md
└── README.md
```
---
## Contributing
Contributions are welcome! Please read our contributing guidelines before submitting PRs.
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
---
## License
MIT License - see [LICENSE](LICENSE) for details.
---
## Acknowledgments
- Inspired by [OpenClaw](https://github.com/ggondim/openclaw) and [Lobster](https://github.com/ggondim/lobster)
- Architectural patterns from [How I Built a Deterministic Multi-Agent Dev Pipeline](https://dev.to/ggondim/how-i-built-a-deterministic-multi-agent-dev-pipeline-inside-openclaw-and-contributed-a-missing-4ool)
- Claude Code integration patterns from Anthropic's documentation
---
## Support
For issues and feature requests, please use the [GitHub Issues](https://github.rommark.dev/admin/Agentic-Compaction-and-Pipleline-by-GLM-5/issues) page.
---
<div align="center">
**Built with ❤️ by [Z.AI GLM-5](https://z.ai/subscribe?ic=R0K78RJKNW)**
*100% Autonomous AI Development*
</div>