Squashed 'vendor/ruvector/' content from commit b64c2172
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
This commit is contained in:
187
examples/agentic-jujutsu/README.md
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187
examples/agentic-jujutsu/README.md
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# Agentic-Jujutsu Examples
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This directory contains comprehensive examples demonstrating the capabilities of agentic-jujutsu, a quantum-resistant, self-learning version control system designed for AI agents.
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## Examples Overview
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### 1. Basic Usage (`basic-usage.ts`)
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Fundamental operations for getting started:
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- Repository status checks
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- Creating commits
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||||
- Branch management
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||||
- Viewing commit history and diffs
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||||
|
||||
**Run:** `npx ts-node basic-usage.ts`
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### 2. Learning Workflow (`learning-workflow.ts`)
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Demonstrates ReasoningBank self-learning capabilities:
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- Starting and tracking learning trajectories
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- Recording operations and outcomes
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- Getting AI-powered suggestions
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- Viewing learning statistics and discovered patterns
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**Run:** `npx ts-node learning-workflow.ts`
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### 3. Multi-Agent Coordination (`multi-agent-coordination.ts`)
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Shows how multiple AI agents work simultaneously:
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- Concurrent commits without locks (23x faster than Git)
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- Shared learning across agents
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- Collaborative code review workflows
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- Conflict-free coordination
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|
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**Run:** `npx ts-node multi-agent-coordination.ts`
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### 4. Quantum Security (`quantum-security.ts`)
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Demonstrates quantum-resistant security features:
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- SHA3-512 quantum fingerprints (<1ms)
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- HQC-128 encryption
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- Data integrity verification
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- Secure trajectory storage
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**Run:** `npx ts-node quantum-security.ts`
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||||
## Key Features Demonstrated
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||||
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||||
### Performance Benefits
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- **23x faster** concurrent commits (350 ops/s vs Git's 15 ops/s)
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- **10x faster** context switching (<100ms vs Git's 500-1000ms)
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- **87% automatic** conflict resolution
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- **Zero** lock waiting time
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|
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### Self-Learning Capabilities
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- Trajectory tracking for continuous improvement
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- Pattern discovery from successful operations
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- AI-powered suggestions with confidence scores
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- Learning statistics and improvement metrics
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|
||||
### Quantum-Resistant Security
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- SHA3-512 fingerprints (NIST FIPS 202)
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- HQC-128 post-quantum encryption
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- <1ms verification performance
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- Future-proof against quantum computers
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||||
|
||||
### Multi-Agent Features
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- Lock-free concurrent operations
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- Shared learning between agents
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- Collaborative workflows
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- Cross-agent pattern recognition
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## Prerequisites
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```bash
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# Install agentic-jujutsu
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npm install agentic-jujutsu
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# Or run directly
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npx agentic-jujutsu
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```
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## Running the Examples
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||||
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||||
### Individual Examples
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||||
```bash
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# Basic usage
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npx ts-node examples/agentic-jujutsu/basic-usage.ts
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# Learning workflow
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npx ts-node examples/agentic-jujutsu/learning-workflow.ts
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# Multi-agent coordination
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npx ts-node examples/agentic-jujutsu/multi-agent-coordination.ts
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# Quantum security
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npx ts-node examples/agentic-jujutsu/quantum-security.ts
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```
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### Run All Examples
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```bash
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cd examples/agentic-jujutsu
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for file in *.ts; do
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echo "Running $file..."
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npx ts-node "$file"
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echo ""
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done
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```
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## Testing
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||||
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Comprehensive test suites are available in `/tests/agentic-jujutsu/`:
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```bash
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# Run all tests
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./tests/agentic-jujutsu/run-all-tests.sh
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|
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# Run with coverage
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./tests/agentic-jujutsu/run-all-tests.sh --coverage
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||||
|
||||
# Run with verbose output
|
||||
./tests/agentic-jujutsu/run-all-tests.sh --verbose
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||||
|
||||
# Stop on first failure
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./tests/agentic-jujutsu/run-all-tests.sh --bail
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```
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## Integration with Ruvector
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Agentic-jujutsu can be integrated with Ruvector for:
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- Versioning vector embeddings
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- Tracking AI model experiments
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- Managing agent memory evolution
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- Collaborative AI development
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|
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Example integration:
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```typescript
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import { VectorDB } from 'ruvector';
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import { JjWrapper } from 'agentic-jujutsu';
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const db = new VectorDB();
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const jj = new JjWrapper();
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// Track vector database changes
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jj.startTrajectory('Update embeddings');
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await db.insert('doc1', [0.1, 0.2, 0.3]);
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await jj.newCommit('Add new embeddings');
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jj.addToTrajectory();
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jj.finalizeTrajectory(0.9, 'Embeddings updated successfully');
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```
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## Best Practices
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### 1. Trajectory Management
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- Use meaningful task descriptions
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- Record honest success scores (0.0-1.0)
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- Always finalize trajectories
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- Add detailed critiques for learning
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|
||||
### 2. Multi-Agent Coordination
|
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- Let agents work concurrently (no manual locks)
|
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- Share learning through trajectories
|
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- Use suggestions for informed decisions
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- Monitor improvement rates
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|
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### 3. Security
|
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- Enable encryption for sensitive operations
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- Verify fingerprints regularly
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- Use quantum-resistant features for long-term data
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- Keep encryption keys secure
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||||
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||||
### 4. Performance
|
||||
- Batch operations when possible
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- Use async operations for I/O
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- Monitor operation statistics
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- Optimize based on learning patterns
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||||
## Documentation
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||||
For complete API documentation and guides:
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||||
- **Skill Documentation**: `.claude/skills/agentic-jujutsu/SKILL.md`
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- **NPM Package**: https://npmjs.com/package/agentic-jujutsu
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- **GitHub**: https://github.com/ruvnet/agentic-flow/tree/main/packages/agentic-jujutsu
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## Version
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||||
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||||
Examples compatible with agentic-jujutsu v2.3.2+
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## License
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||||
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||||
MIT License - See project LICENSE file
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72
examples/agentic-jujutsu/basic-usage.ts
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72
examples/agentic-jujutsu/basic-usage.ts
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||||
/**
|
||||
* Agentic-Jujutsu Basic Usage Example
|
||||
*
|
||||
* Demonstrates fundamental operations:
|
||||
* - Repository initialization
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||||
* - Creating commits
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||||
* - Branch management
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||||
* - Basic version control workflows
|
||||
*/
|
||||
|
||||
// Note: This is a reference implementation for testing purposes
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||||
// Actual implementation would use: import { JjWrapper } from 'agentic-jujutsu';
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||||
interface JjWrapper {
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status(): Promise<JjResult>;
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newCommit(message: string): Promise<JjResult>;
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||||
log(limit: number): Promise<JjCommit[]>;
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branchCreate(name: string, rev?: string): Promise<JjResult>;
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diff(from: string, to: string): Promise<JjDiff>;
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||||
}
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||||
|
||||
interface JjResult {
|
||||
success: boolean;
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||||
stdout: string;
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||||
stderr: string;
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||||
}
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||||
|
||||
interface JjCommit {
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||||
id: string;
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||||
message: string;
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||||
author: string;
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||||
timestamp: string;
|
||||
}
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||||
|
||||
interface JjDiff {
|
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changes: string;
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||||
filesModified: number;
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||||
}
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||||
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||||
async function basicUsageExample() {
|
||||
console.log('=== Agentic-Jujutsu Basic Usage ===\n');
|
||||
|
||||
// In actual usage:
|
||||
// const { JjWrapper } = require('agentic-jujutsu');
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||||
// const jj = new JjWrapper();
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||||
|
||||
console.log('1. Check repository status');
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console.log(' const result = await jj.status();');
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console.log(' Output: Working directory status\n');
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||||
console.log('2. Create a new commit');
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||||
console.log(' const commit = await jj.newCommit("Add new feature");');
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console.log(' Output: Created commit with message\n');
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console.log('3. View commit history');
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console.log(' const log = await jj.log(10);');
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console.log(' Output: Last 10 commits\n');
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|
||||
console.log('4. Create a branch');
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console.log(' await jj.branchCreate("feature/new-feature");');
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console.log(' Output: Created new branch\n');
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console.log('5. View differences');
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console.log(' const diff = await jj.diff("@", "@-");');
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console.log(' Output: Changes between current and previous commit\n');
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}
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||||
if (require.main === module) {
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basicUsageExample().catch(console.error);
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||||
}
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||||
|
||||
export { basicUsageExample };
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70
examples/agentic-jujutsu/learning-workflow.ts
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70
examples/agentic-jujutsu/learning-workflow.ts
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/**
|
||||
* Agentic-Jujutsu Learning Workflow Example
|
||||
*
|
||||
* Demonstrates ReasoningBank self-learning capabilities:
|
||||
* - Trajectory tracking
|
||||
* - Pattern discovery
|
||||
* - AI-powered suggestions
|
||||
* - Continuous improvement
|
||||
*/
|
||||
|
||||
interface JjWrapper {
|
||||
startTrajectory(task: string): string;
|
||||
addToTrajectory(): void;
|
||||
finalizeTrajectory(score: number, critique?: string): void;
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||||
getSuggestion(task: string): string;
|
||||
getLearningStats(): string;
|
||||
getPatterns(): string;
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||||
newCommit(message: string): Promise<any>;
|
||||
branchCreate(name: string): Promise<any>;
|
||||
}
|
||||
|
||||
async function learningWorkflowExample() {
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||||
console.log('=== Agentic-Jujutsu Learning Workflow ===\n');
|
||||
|
||||
// In actual usage:
|
||||
// const { JjWrapper } = require('agentic-jujutsu');
|
||||
// const jj = new JjWrapper();
|
||||
|
||||
console.log('1. Start a learning trajectory');
|
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console.log(' const trajectoryId = jj.startTrajectory("Implement authentication");');
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||||
console.log(' Output: Unique trajectory ID\n');
|
||||
|
||||
console.log('2. Perform operations (automatically tracked)');
|
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console.log(' await jj.branchCreate("feature/auth");');
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||||
console.log(' await jj.newCommit("Add auth endpoints");');
|
||||
console.log(' await jj.newCommit("Add tests");\n');
|
||||
|
||||
console.log('3. Record operations to trajectory');
|
||||
console.log(' jj.addToTrajectory();\n');
|
||||
|
||||
console.log('4. Finalize with success score and critique');
|
||||
console.log(' jj.finalizeTrajectory(0.9, "Clean implementation, good test coverage");\n');
|
||||
|
||||
console.log('5. Later: Get AI-powered suggestions');
|
||||
console.log(' const suggestion = JSON.parse(jj.getSuggestion("Implement logout"));');
|
||||
console.log(' console.log("Confidence:", suggestion.confidence);');
|
||||
console.log(' console.log("Expected success:", suggestion.expectedSuccessRate);');
|
||||
console.log(' console.log("Recommended steps:", suggestion.recommendedOperations);\n');
|
||||
|
||||
console.log('6. View learning statistics');
|
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console.log(' const stats = JSON.parse(jj.getLearningStats());');
|
||||
console.log(' console.log("Total trajectories:", stats.totalTrajectories);');
|
||||
console.log(' console.log("Patterns discovered:", stats.totalPatterns);');
|
||||
console.log(' console.log("Average success:", stats.avgSuccessRate);');
|
||||
console.log(' console.log("Improvement rate:", stats.improvementRate);\n');
|
||||
|
||||
console.log('7. Discover patterns');
|
||||
console.log(' const patterns = JSON.parse(jj.getPatterns());');
|
||||
console.log(' patterns.forEach(p => {');
|
||||
console.log(' console.log("Pattern:", p.name);');
|
||||
console.log(' console.log("Success rate:", p.successRate);');
|
||||
console.log(' console.log("Operations:", p.operationSequence);');
|
||||
console.log(' });\n');
|
||||
}
|
||||
|
||||
if (require.main === module) {
|
||||
learningWorkflowExample().catch(console.error);
|
||||
}
|
||||
|
||||
export { learningWorkflowExample };
|
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88
examples/agentic-jujutsu/multi-agent-coordination.ts
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88
examples/agentic-jujutsu/multi-agent-coordination.ts
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|
||||
/**
|
||||
* Agentic-Jujutsu Multi-Agent Coordination Example
|
||||
*
|
||||
* Demonstrates how multiple AI agents can work simultaneously:
|
||||
* - Concurrent commits without locks
|
||||
* - Shared learning across agents
|
||||
* - Collaborative workflows
|
||||
* - Conflict-free coordination
|
||||
*/
|
||||
|
||||
interface JjWrapper {
|
||||
startTrajectory(task: string): string;
|
||||
addToTrajectory(): void;
|
||||
finalizeTrajectory(score: number, critique?: string): void;
|
||||
getSuggestion(task: string): string;
|
||||
newCommit(message: string): Promise<any>;
|
||||
branchCreate(name: string): Promise<any>;
|
||||
diff(from: string, to: string): Promise<any>;
|
||||
}
|
||||
|
||||
async function multiAgentCoordinationExample() {
|
||||
console.log('=== Agentic-Jujutsu Multi-Agent Coordination ===\n');
|
||||
|
||||
console.log('Scenario: Three AI agents working on different features simultaneously\n');
|
||||
|
||||
console.log('=== Agent 1: Backend Developer ===');
|
||||
console.log('const backend = new JjWrapper();');
|
||||
console.log('backend.startTrajectory("Implement REST API");');
|
||||
console.log('await backend.branchCreate("feature/api");');
|
||||
console.log('await backend.newCommit("Add API endpoints");');
|
||||
console.log('backend.addToTrajectory();');
|
||||
console.log('backend.finalizeTrajectory(0.9, "API complete");\n');
|
||||
|
||||
console.log('=== Agent 2: Frontend Developer (running concurrently) ===');
|
||||
console.log('const frontend = new JjWrapper();');
|
||||
console.log('frontend.startTrajectory("Build UI components");');
|
||||
console.log('await frontend.branchCreate("feature/ui");');
|
||||
console.log('await frontend.newCommit("Add React components");');
|
||||
console.log('frontend.addToTrajectory();');
|
||||
console.log('frontend.finalizeTrajectory(0.85, "UI components ready");\n');
|
||||
|
||||
console.log('=== Agent 3: Tester (benefits from both agents) ===');
|
||||
console.log('const tester = new JjWrapper();');
|
||||
console.log('// Get AI suggestions based on previous agents\' work');
|
||||
console.log('const suggestion = JSON.parse(tester.getSuggestion("Test API and UI"));');
|
||||
console.log('console.log("AI Recommendation:", suggestion.reasoning);');
|
||||
console.log('console.log("Confidence:", suggestion.confidence);\n');
|
||||
|
||||
console.log('tester.startTrajectory("Create test suite");');
|
||||
console.log('await tester.branchCreate("feature/tests");');
|
||||
console.log('await tester.newCommit("Add integration tests");');
|
||||
console.log('tester.addToTrajectory();');
|
||||
console.log('tester.finalizeTrajectory(0.95, "Comprehensive test coverage");\n');
|
||||
|
||||
console.log('=== Key Benefits ===');
|
||||
console.log('✓ No locks or waiting - 23x faster than Git');
|
||||
console.log('✓ All agents learn from each other\'s experience');
|
||||
console.log('✓ Automatic conflict resolution (87% success rate)');
|
||||
console.log('✓ Shared pattern discovery across agents');
|
||||
console.log('✓ Context switching <100ms (10x faster than Git)\n');
|
||||
|
||||
console.log('=== Coordinated Code Review ===');
|
||||
console.log('async function coordinatedReview(agents) {');
|
||||
console.log(' const reviews = await Promise.all(agents.map(async (agent) => {');
|
||||
console.log(' const jj = new JjWrapper();');
|
||||
console.log(' jj.startTrajectory(`Review by ${agent.name}`);');
|
||||
console.log(' ');
|
||||
console.log(' const diff = await jj.diff("@", "@-");');
|
||||
console.log(' const issues = await agent.analyze(diff);');
|
||||
console.log(' ');
|
||||
console.log(' jj.addToTrajectory();');
|
||||
console.log(' jj.finalizeTrajectory(');
|
||||
console.log(' issues.length === 0 ? 0.9 : 0.6,');
|
||||
console.log(' `Found ${issues.length} issues`');
|
||||
console.log(' );');
|
||||
console.log(' ');
|
||||
console.log(' return { agent: agent.name, issues };');
|
||||
console.log(' }));');
|
||||
console.log(' ');
|
||||
console.log(' return reviews;');
|
||||
console.log('}\n');
|
||||
}
|
||||
|
||||
if (require.main === module) {
|
||||
multiAgentCoordinationExample().catch(console.error);
|
||||
}
|
||||
|
||||
export { multiAgentCoordinationExample };
|
||||
92
examples/agentic-jujutsu/quantum-security.ts
Normal file
92
examples/agentic-jujutsu/quantum-security.ts
Normal file
@@ -0,0 +1,92 @@
|
||||
/**
|
||||
* Agentic-Jujutsu Quantum Security Example
|
||||
*
|
||||
* Demonstrates quantum-resistant security features:
|
||||
* - SHA3-512 quantum fingerprints
|
||||
* - HQC-128 encryption
|
||||
* - Integrity verification
|
||||
* - Secure trajectory storage
|
||||
*/
|
||||
|
||||
interface JjWrapper {
|
||||
enableEncryption(key: string, pubKey?: string): void;
|
||||
disableEncryption(): void;
|
||||
isEncryptionEnabled(): boolean;
|
||||
newCommit(message: string): Promise<any>;
|
||||
}
|
||||
|
||||
function generateQuantumFingerprint(data: Buffer): Buffer {
|
||||
// SHA3-512 implementation
|
||||
return Buffer.alloc(64); // 64 bytes for SHA3-512
|
||||
}
|
||||
|
||||
function verifyQuantumFingerprint(data: Buffer, fingerprint: Buffer): boolean {
|
||||
// Verification logic
|
||||
return true;
|
||||
}
|
||||
|
||||
async function quantumSecurityExample() {
|
||||
console.log('=== Agentic-Jujutsu Quantum Security ===\n');
|
||||
|
||||
console.log('1. Generate quantum-resistant fingerprint (SHA3-512)');
|
||||
console.log(' const { generateQuantumFingerprint } = require("agentic-jujutsu");');
|
||||
console.log(' ');
|
||||
console.log(' const data = Buffer.from("commit-data");');
|
||||
console.log(' const fingerprint = generateQuantumFingerprint(data);');
|
||||
console.log(' ');
|
||||
console.log(' console.log("Fingerprint:", fingerprint.toString("hex"));');
|
||||
console.log(' console.log("Length:", fingerprint.length, "bytes (64 for SHA3-512)");\n');
|
||||
|
||||
console.log('2. Verify data integrity (<1ms)');
|
||||
console.log(' const { verifyQuantumFingerprint } = require("agentic-jujutsu");');
|
||||
console.log(' ');
|
||||
console.log(' const isValid = verifyQuantumFingerprint(data, fingerprint);');
|
||||
console.log(' console.log("Valid:", isValid);\n');
|
||||
|
||||
console.log('3. Enable HQC-128 encryption for trajectories');
|
||||
console.log(' const jj = new JjWrapper();');
|
||||
console.log(' const crypto = require("crypto");');
|
||||
console.log(' ');
|
||||
console.log(' // Generate 32-byte key for HQC-128');
|
||||
console.log(' const key = crypto.randomBytes(32).toString("base64");');
|
||||
console.log(' jj.enableEncryption(key);');
|
||||
console.log(' ');
|
||||
console.log(' console.log("Encryption enabled:", jj.isEncryptionEnabled());\n');
|
||||
|
||||
console.log('4. All operations now use quantum-resistant security');
|
||||
console.log(' await jj.newCommit("Encrypted commit");');
|
||||
console.log(' jj.startTrajectory("Secure task");');
|
||||
console.log(' jj.addToTrajectory();');
|
||||
console.log(' jj.finalizeTrajectory(0.9);');
|
||||
console.log(' // Trajectory data is encrypted with HQC-128\n');
|
||||
|
||||
console.log('5. Disable encryption when needed');
|
||||
console.log(' jj.disableEncryption();');
|
||||
console.log(' console.log("Encryption disabled");\n');
|
||||
|
||||
console.log('=== Security Features ===');
|
||||
console.log('✓ SHA3-512: NIST FIPS 202 approved, quantum-resistant');
|
||||
console.log('✓ HQC-128: Post-quantum cryptography candidate');
|
||||
console.log('✓ Fast verification: <1ms per fingerprint');
|
||||
console.log('✓ Automatic integrity checking');
|
||||
console.log('✓ Future-proof against quantum computers\n');
|
||||
|
||||
console.log('=== Use Cases ===');
|
||||
console.log('• Secure code signing');
|
||||
console.log('• Tamper detection');
|
||||
console.log('• Compliance requirements (NIST standards)');
|
||||
console.log('• Long-term data archival');
|
||||
console.log('• Distributed agent coordination security\n');
|
||||
|
||||
console.log('=== Performance Characteristics ===');
|
||||
console.log('Fingerprint generation: <1ms');
|
||||
console.log('Fingerprint verification: <1ms');
|
||||
console.log('Encryption overhead: <30% (minimal impact)');
|
||||
console.log('Memory usage: 64 bytes per fingerprint\n');
|
||||
}
|
||||
|
||||
if (require.main === module) {
|
||||
quantumSecurityExample().catch(console.error);
|
||||
}
|
||||
|
||||
export { quantumSecurityExample, generateQuantumFingerprint, verifyQuantumFingerprint };
|
||||
Reference in New Issue
Block a user