dspy.ts
Version:
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