DSPy
DSPy is a framework for algorithmically optimizing LM prompts and weights, especially when LMs are used within pipelines.
FreeAPICLIOpen sourceLLM-basedMultimodal
Visit websitedspy.ai
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DSPy is a framework for algorithmically optimizing LM prompts and weights, especially when LMs are used within pipelines. It separates the flow of your program from the parameters (prompts and weights) of each step. DSPy introduces trainable optimizers that can maximize the quality of your LLM pipeline based on a few examples, replacing manual prompt engineering with systematic optimization.
Key features
- Declarative Signatures
- Modular Pipelines
- Automatic Prompt Optimization
- Data-driven Tuning
- Model-agnostic Programming
- Validation & Metrics
- Compiler-based Optimization
Pricing
Use cases
- Optimizing complex RAG pipelines
- Automated data labeling
- Building multi-stage reasoning systems
- Automating prompt engineering
Who it is for
AI ResearchersML EngineersLLM App Developers
Integrations
LangChainLlamaIndexOpenAI APIHugging Face Transformers
Tags
MLOps
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 08/23/2026Verified sources: 2
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