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dspy.ts

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DSPy.ts - Declarative Self-Learning TypeScript: A framework for compositional LM pipelines with self-improving prompt strategies.

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# NPM Publishing Log ## Version 0.1.0 - Initial Release - Published package to npm as dspy.ts - Included core functionality, documentation, and examples - Added TypeScript type definitions - Integrated ONNX and PyTorch support ## Version 0.1.1 - Repository Update - Updated repository URL to https://github.com/ruvnet/dspy.ts - Updated author information to rUv - Added homepage URL - Added quick install section to README - Fixed package metadata ## Package Details - Name: dspy.ts - Author: rUv - Repository: https://github.com/ruvnet/dspy.ts - License: MIT - Dependencies: - js-pytorch: ^0.7.2 - onnxruntime-web: ^1.20.1 ## Installation ```bash npm install dspy.ts ``` ## Package Contents - Full TypeScript support with type definitions - Core modules for LM pipelines - ONNX and PyTorch integrations - Comprehensive documentation and examples - Test coverage for critical components