dspy
DSPy: The framework for programming—not prompting—language models
DSPy from Stanford is a framework for programming LLMs with composable modules and optimizers that automatically tune prompts instead of hand-crafting them.
From the README
pip install dspy
- DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines (Academic Paper, Dec 2023)
- DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines (Academic Paper, Oct 2023)
- Releasing DSPy, the latest iteration of the framework (Twitter Thread, Aug 2023)
- Releasing the DSP Compiler (v0.1) (Twitter Thread, Feb 2023)
- Introducing DSP (Twitter Thread, Jan 2023)
- Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP (Academic Paper, Dec 2022) -->
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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dspy has 37.7k stars on GitHub. It has been forked 3.3k times. dspy is written mainly in Python. It has been in active development since 2023. dspy is available under the MIT license.
Read the full guideWhat is dspy?
DSPy: The framework for programming—not prompting—language models
Is dspy open source?
dspy is an open-source project. It is released under the MIT license.
Is dspy free?
Yes. dspy is free and open source — you can use, modify and self-host it.
What license does dspy use?
dspy is available under the MIT license.
What language is dspy written in?
dspy is written mainly in Python.
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