Quick facts
- Best for
- DSPy - Program Language Models Instead of Prompting
- Pricing
- Free
- Editor rating
- 4.5 / 5
- Community saves
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About DSPy
DSPy is a Python framework from Stanford NLP for programming language models with modular code instead of hand-written prompts. It supports classifiers, RAG systems, agent loops, prompt tuning, and weight tuning through a declarative workflow.
Pros
- Python framework for language-model programs
- Declarative modules for AI pipelines
- Prompt and weight optimization algorithms
- RAG and agent workflow support
- Open-source MIT licensed repository
Cons
Pricing
Open source
$0
- • Free repository access
- • Self-host or run locally
- • Third-party model or compute costs may apply