dspy-optimization

name	dspy-optimization
description	DSPy optimization workflows — teleprompters, metrics, evaluation, and compilation strategies. Use when optimizing DSPy programs with BootstrapFewShot, MIPROv2, or custom metrics.

DSPy Optimization

Guidance for optimizing DSPy programs: teleprompter selection, metric definition, evaluation workflows, and save/load patterns.

Environment Setup

This skill requires uv as the Python package manager.

uv venv
source .venv/bin/activate
uv pip install dspy

Rule: Never use raw pip. Always use uv pip for installs and uv run for script execution.

Quick Start

Optimizing with metrics

# Use the optimize-dspy script
uv run scripts/optimize-dspy.py --module my_module --metric my_metric --examples examples.jsonl

BootstrapFewShot

from dspy.teleprompt import BootstrapFewShot

optimizer = BootstrapFewShot(metric=my_metric, max_bootstrapped_demos=4)
compiled = optimizer.compile(program, trainset=trainset)
compiled.save("./compiled/program.json")

When to Use This Skill

Use this skill when:

• Running DSPy optimization or compilation with teleprompters
• Defining custom metrics for DSPy evaluation
• Evaluating DSPy programs with dev sets
• Choosing between BootstrapFewShot, MIPROv2, or other optimizers
• Saving and loading compiled programs

Core Concepts

Optimization Reference

See optimization.md for:

• Teleprompter selection guide (BootstrapFewShot, MIPROv2, etc.)
• Metric definition patterns
• Optimization strategies and hyperparameters
• Evaluation and testing workflows
• Save/load best practices (.save() / .load(), never raw pickle)

Scripts

• optimize-dspy.py: Run optimization with custom metrics and teleprompters

Critical Rules

1. Always use uv: uv pip for installs, uv run for scripts
2. Use .save() / .load(): Never use raw pickle for DSPy programs
3. Use dspy.LM: Never use deprecated dspy.OpenAI or dspy.settings.configure
4. Mark inputs on examples: Always call .with_inputs() on dspy.Example

Related Skills

• dspy-core: Signatures, modules, programs, and compilation fundamentals
• dspy-fleet-rlm: fleet-rlm-specific DSPy patterns and integration

Progressive Disclosure

1. SKILL.md (this file): Quick reference and navigation
2. references/: Detailed optimization docs loaded as needed
3. scripts/: Executable optimization tools