dspy-refine
Iterative Self-Improvement with dspy.Refine
Guide the user through using dspy.Refine to build pipelines that automatically retry and improve outputs until they meet a quality threshold.
What is dspy.Refine
dspy.Refine is a DSPy module wrapper that runs another module up to N times, scoring each attempt with a reward function. It returns the first output that meets a threshold -- or the best output if none do. When an attempt fails to meet the threshold, Refine generates feedback that gets fed into the next attempt, enabling genuine iterative improvement rather than just random retries.
Key properties:
- Wraps any DSPy module -- ChainOfThought, Predict, ReAct, or your custom modules
- Scores each attempt with a reward function you define
- Generates feedback when an attempt falls short, improving subsequent tries
- Returns early as soon as an output meets the threshold (saves LM calls)
- Falls back gracefully -- returns the best attempt even if none hit the threshold
When to use Refine
Use dspy.Refine when:
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