Replace hand-written prompts with DSPy signatures + MIPROv2 Bayesian optimization

DSPy (dspy.ai)·high signal

DSPy (now 3.3.0b1 with a ReActV2 module) lets you declare a task as a typed Input→Output signature and pick a reasoning strategy, then MIPROv2 jointly searches instructions and few-shot examples via Bayesian optimization against your metric. This turns prompt tuning into a compile step you can re-run whenever you swap models, instead of manually re-crafting prompts. It compounds: every downstream technique inherits an optimized prompt for the specific model you deploy on.