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Data & Analytics

DSPy Pipelines

Build and optimize LLM pipelines declaratively with DSPy.

4.5rating

3,400 installs

mlops/research/dspy

Max required

About this skill

DSPy Pipelines lets the assistant help you write DSPy programs: declarative LLM pipelines that get automatically optimized (prompts, demonstrations) against a metric you define. Moves you from prompt tinkering to programmatic LLM engineering. Pairs nicely with vLLM Inference for local backbones.

What it does

Declarative LLM pipeline definition
Automatic prompt/demo optimization
Metric-driven evaluation
Compatible with OpenAI, Anthropic, local vLLM
Scaffolds from a task description

Use cases

Replace a fragile prompt chain with a DSPy program
Optimize a classification pipeline against accuracy
Compose a multi-hop RAG system declaratively

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