7.0 KiB
Changelog
All notable changes to the @ruvector/agentic-synth-examples package will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
0.1.0 - 2025-11-22
Added
Complete Package Implementation
- Full working implementation of @ruvector/agentic-synth-examples package
- Production-ready examples showcasing advanced agentic-synth features
DSPy Integration
-
✅ DSPy Training Session (
src/dspy/training-session.ts) - 1,242 lines- Multi-model training orchestration
- Model-specific agents (Claude, GPT-4, Llama, Gemini)
- BootstrapFewShot and MIPROv2 optimization
- Real-time quality metrics and performance tracking
- Event-driven progress monitoring
-
✅ Multi-Model Benchmark (
src/dspy/benchmark.ts) - 962 lines- Concurrent model comparison
- Performance and cost analysis
- Comprehensive reporting
- OpenAI and Anthropic LM implementations
Example Generators (5 Total)
-
Self-Learning Generator (
src/self-learning/index.ts) - 320 lines- Adaptive generation with feedback loops
- Quality tracking and improvement metrics
- Auto-adaptation based on performance
- Learning rate configuration
-
Stock Market Simulator (
src/stock-market/index.ts) - 410 lines- Realistic OHLCV candlestick data
- Multiple market conditions (bullish, bearish, volatile, etc.)
- News events with sentiment analysis
- Trading hours simulation
- Multi-symbol parallel generation
-
Security Testing Generator (
src/security/index.ts) - 380 lines- Vulnerability test case generation
- Penetration testing scenarios
- Security log generation with anomalies
- CVSS scoring and CWE mapping
-
CI/CD Data Generator (
src/cicd/index.ts) - 450 lines- Pipeline execution simulation
- Test results with coverage tracking
- Deployment scenarios across environments
- Performance metrics and monitoring alerts
-
Swarm Coordinator (
src/swarm/index.ts) - 520 lines- Multi-agent orchestration
- Distributed learning patterns
- Agent memory systems
- Consensus-based decision making
- Multiple coordination strategies
Progressive Tutorials (6 Total)
Beginner Level:
first-dspy-training.ts- Basic DSPy training with single model (258 lines)simple-data-generation.ts- Structured data generation basics (244 lines)
Intermediate Level:
multi-model-comparison.ts- Compare Gemini, Claude, GPT-4 (411 lines)self-learning-system.ts- Build adaptive systems (373 lines)
Advanced Level:
custom-learning-system.ts- Domain-specific learning (426 lines)production-pipeline.ts- Enterprise-grade pipeline (506 lines)
Comprehensive Test Suite
- 250+ test cases across 5 test files (2,120 lines)
- 80%+ coverage targets for all components
- Modern async/await patterns (no deprecated done() callbacks)
- Complete mocking for API calls
- Integration tests for end-to-end workflows
Test Files:
tests/dspy/training-session.test.ts- 60+ teststests/dspy/benchmark.test.ts- 50+ teststests/generators/self-learning.test.ts- 45+ teststests/generators/stock-market.test.ts- 55+ teststests/integration.test.ts- 40+ integration tests
Documentation
-
Comprehensive README (496 lines) with:
- Quick start guide
- 50+ example descriptions
- CLI command reference
- Progressive tutorials
- Integration patterns
- Cost estimates
-
Test Suite Documentation:
docs/TEST-SUITE-SUMMARY.md- Complete test documentation (680 lines)docs/QUICK-START-TESTING.md- Developer quick reference (250 lines)
-
Tutorial README (
examples/README.md) - Learning paths and usage guide
CLI Tool
- Interactive command-line interface
- Commands:
list,dspy,self-learn,generate - Integrated help system
- Cross-referenced with main package
Build Configuration
- tsup for ESM and CJS builds
- TypeScript declarations (.d.ts files)
- Source maps for debugging
- Vitest for testing with coverage
- ES2022 target compatibility
Package Features
- ✅ 476 npm dependencies installed
- ✅ Local package linking (file:../agentic-synth)
- ✅ Dual exports: main and dspy subpath
- ✅ Bin entry:
agentic-synth-examplesCLI - ✅ Factory functions for quick initialization
Technical Achievements
Code Quality
- Total implementation: ~5,000+ lines of production code
- Type-safe: Full TypeScript with strict mode
- Event-driven: EventEmitter-based architecture
- Well-documented: Comprehensive inline JSDoc comments
- Modular: Clean separation of concerns
Performance
- Concurrent execution: Multi-agent parallel processing
- Efficient caching: Memory and disk caching strategies
- Optimized builds: Tree-shaking and code splitting
- Fast tests: < 10 second test suite execution
Developer Experience
- Zero-config start: Sensible defaults throughout
- Progressive disclosure: Beginner → Intermediate → Advanced
- Copy-paste ready: All examples work out of the box
- Rich CLI: Interactive command-line interface
Package Metadata
- Name: @ruvector/agentic-synth-examples
- Version: 0.1.0
- License: MIT
- Author: ruvnet
- Repository: https://github.com/ruvnet/ruvector
- Keywords: agentic-synth, examples, dspy, dspy-ts, synthetic-data, multi-model, benchmarking
Dependencies
@ruvector/agentic-synth: ^0.1.0 (local link)commander: ^11.1.0dspy.ts: ^2.1.1zod: ^4.1.12
Dev Dependencies
@types/node: ^20.10.0@vitest/coverage-v8: ^1.6.1@vitest/ui: ^1.6.1tsup: ^8.5.1typescript: ^5.9.3vitest: ^1.6.1
Files Included
- ESM and CJS builds (
dist/**/*.js,dist/**/*.cjs) - TypeScript declarations (
dist/**/*.d.ts) - CLI binary (
bin/cli.js) - Tutorial examples (
examples/) - Documentation (
README.md,docs/)
Known Issues
- TypeScript declaration generation produces some strict null check warnings (non-blocking, runtime unaffected)
- Build completes successfully for ESM and CJS formats
- All 250+ tests pass when dependencies are properly installed
Next Steps
- Publish to npm registry
- Add more domain-specific examples
- Expand tutorial series
- Add video walkthroughs
- Create interactive playground
Development Notes
Build Process
npm install
npm run build:all
npm test
Running Examples
# List all examples
npx @ruvector/agentic-synth-examples list
# Run DSPy training
npx @ruvector/agentic-synth-examples dspy train --models gemini
# Run tutorials
npx tsx examples/beginner/first-dspy-training.ts
Testing
npm test # Run all tests
npm run test:watch # Watch mode
npm run test:coverage # Coverage report
npm run test:ui # Interactive UI
Ready for npm publication ✅