dspy.ts/plans/Phase7_Documentation_and_Examples.md

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

This phase creates comprehensive documentation and example implementations for DSPy.ts. We'll provide detailed API references, usage guides, and practical examples that demonstrate the framework's capabilities.

```markdown
# DSPy.ts (Declarative Self-Learning TypeScript)

DSPy.ts is a modular framework for building language model pipelines in JavaScript/TypeScript. It provides a declarative approach to composing LM calls and supports multiple backends including ONNX Runtime Web and JS-PyTorch.

// Configure DSPy.ts to use an ONNX model
const model = new ONNXModel({
const result = await sentimentModule.run({
  text: 'I love using DSPy.ts!'
});
```markdown
# DSPy.ts API Reference

The foundation for all DSPy.ts modules:

```markdown
# DSPy.ts Module Types

DSPy.ts supports different types of modules for various LM interaction patterns:

```markdown
# DSPy.ts Pipeline Guide

git add examples/
## Overview
git commit -m "Add example implementations demonstrating DSPy.ts usage"