mirror of
https://github.com/ruvnet/RuVector.git
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c62438a6cf
Implement full examples package with DSPy integration, generators, tutorials, and tests. Major Features: ✅ DSPy Training & Benchmarking (2,200+ lines) - Multi-model training session with 4 model agents - BootstrapFewShot and MIPROv2 optimization - Comprehensive benchmarking suite ✅ 5 Production Generators (2,080+ lines) - Self-learning with feedback loops - Stock market simulation with OHLCV data - Security testing with vulnerabilities - CI/CD pipeline data generation - Multi-agent swarm coordination ✅ 6 Progressive Tutorials (2,218+ lines) - Beginner: First training, simple generation - Intermediate: Multi-model comparison, self-learning - Advanced: Custom systems, production pipelines ✅ Comprehensive Test Suite (2,120+ lines, 250+ tests) - DSPy training and benchmark tests - Generator unit and integration tests - 80%+ coverage targets - Modern async/await patterns ✅ Documentation & Configuration - 496-line comprehensive README - Test suite documentation (930+ lines) - CLI tool with interactive commands - Build configuration (tsup, vitest, tsconfig) Technical Implementation: - Total: ~9,000+ lines of production code - TypeScript with strict mode - Event-driven architecture - Full ESM/CJS dual build support - Local package linking for development Package ready for npm publication with complete working examples.
93 lines
2.4 KiB
JSON
93 lines
2.4 KiB
JSON
{
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"name": "@ruvector/agentic-synth-examples",
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"version": "0.1.0",
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"description": "Production-ready examples for @ruvector/agentic-synth - DSPy training, multi-model benchmarking, and advanced synthetic data generation patterns",
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"main": "./dist/index.js",
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"module": "./dist/index.js",
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"types": "./dist/index.d.ts",
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"type": "module",
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"bin": {
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"agentic-synth-examples": "./bin/cli.js"
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},
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"exports": {
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".": {
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"types": "./dist/index.d.ts",
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"import": "./dist/index.js",
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"require": "./dist/index.cjs"
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},
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"./dspy": {
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"types": "./dist/dspy/index.d.ts",
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"import": "./dist/dspy/index.js",
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"require": "./dist/dspy/index.cjs"
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}
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},
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"files": [
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"dist/**/*.js",
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"dist/**/*.cjs",
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"dist/**/*.d.ts",
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"bin",
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"examples",
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"README.md",
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"LICENSE"
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],
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"scripts": {
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"build": "tsup src/index.ts --format esm,cjs --dts --clean",
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"build:dspy": "tsup src/dspy/index.ts --format esm,cjs --dts --out-dir dist/dspy",
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"build:all": "npm run build && npm run build:dspy",
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"dev": "tsup src/index.ts --format esm --watch",
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"test": "vitest run",
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"test:watch": "vitest",
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"test:coverage": "vitest run --coverage",
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"test:ui": "vitest --ui",
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"typecheck": "tsc --noEmit",
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"prepublishOnly": "npm run build:all",
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"pretest": "npm run typecheck"
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},
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"keywords": [
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"agentic-synth",
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"examples",
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"dspy",
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"dspy-ts",
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"synthetic-data",
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"multi-model",
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"benchmarking",
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"machine-learning",
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"ai-training",
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"prompt-engineering",
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"self-learning",
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"claude",
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"gpt4",
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"gemini",
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"llama",
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"tutorials",
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"getting-started"
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],
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"author": "ruvnet",
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"license": "MIT",
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"repository": {
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"type": "git",
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"url": "https://github.com/ruvnet/ruvector.git",
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"directory": "packages/agentic-synth-examples"
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},
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"bugs": {
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"url": "https://github.com/ruvnet/ruvector/issues"
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},
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"homepage": "https://github.com/ruvnet/ruvector/tree/main/packages/agentic-synth-examples#readme",
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"dependencies": {
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"@ruvector/agentic-synth": "file:../agentic-synth",
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"commander": "^11.1.0",
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"dspy.ts": "^2.1.1",
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"zod": "^4.1.12"
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},
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"peerDependencies": {
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"@ruvector/agentic-synth": "^0.1.0"
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},
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"devDependencies": {
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"@types/node": "^20.10.0",
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"@vitest/coverage-v8": "^1.6.1",
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"@vitest/ui": "^1.6.1",
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"tsup": "^8.5.1",
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"typescript": "^5.9.3",
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"vitest": "^1.6.1"
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}
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}
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