dspy-custom-module-design

# DSPy Custom Module Design ## Goal Design production-quality custom DSPy modules with proper architecture, state management, serialization, and testing patterns. ## When to Use - Building reusable DSPy components - Complex logic beyond built-in modules - Need custom state management - Sharing modules across projects - Production deployment requirements ## Related Skills - Module composition: [dspy-advanced-module-composition](../dspy-advanced-module-composition/SKILL.md) - Signature design: [dspy-signature-designer](../dspy-signature-designer/SKILL.md) - Optimization: [dspy-miprov2-optimizer](../dspy-miprov2-optimizer/SKILL.md) ## Inputs | Input | Type | Description | |-------|------|-------------| | `task_description` | `str` | What the module should do | | `components` | `list` | Sub-modules or predictors | | `state` | `dict` | Stateful attributes | ## Outputs | Output | Type | Description | |--------|------|-------------| | `custom_module` | `dspy.Module` | Production-ready module | ## Workflow ### Phase 1: Basic Module Structure All custom modules inherit from `dspy.Module`: ```python import dspy class BasicQA(dspy.Module): """Simple question answering module.""" def __init__(self): super().__init__() self.predictor = dspy.Predict("question -> answer") def forward(self, question): """Entry point for module execution.""" return self.predictor(question=question) # Usage dspy.configure(lm=dspy.LM("openai/gpt-4o-m...