DSPy

Programming framework for optimizing LLM pipelines

Code & DevelopmentFree

DSPy is a Stanford-developed framework for algorithmically optimizing LLM prompts and weights. Instead of manually writing prompts, developers define the AI program's logic and DSPy automatically compiles optimized prompts through a training-like process. Researchers and advanced developers use DSPy to build robust, self-improving AI pipelines.

Key Features

• ✓Automatic prompt optimization
• ✓LLM pipeline compilation
• ✓Multi-step reasoning chains
• ✓Evaluation framework
• ✓Multiple LLM backend support