DSPy
Featured Open SourceProgramming framework for algorithmically optimizing LM prompts
DSPy is a Stanford research framework that replaces manual prompt engineering with programmatic optimization. It treats prompts and LM calls as declarative modules and automatically optimizes them using optimizers like BootstrapFewShot and MIPRO.
Product Overview
Use Cases
- Automated Prompt Optimization
- Agentic Pipelines
- RAG Optimization
- LLM Program Compilation
Ideal For
AI ResearchersML EngineersAdvanced AI Developers
Architecture Fit
Enterprise ReadySelf HostedCloud NativeAPI FirstMulti-Agent CompatibleKubernetes SupportOpen Source
Technical Details
- Deployment Model
- self-hosted
- LLM Providers
- OpenAIAnthropicGeminiOllamaGroq
Screenshots
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