Sprint 9-10: optimization package init

purpose_agent/optimization/__init__.py

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+"""
+Purpose Agent Optimization — Epigenetic self-improvement pipeline.
+
+Optimize behavior BEFORE touching model weights:
+  1. Fingerprint capabilities from traces
+  2. Build filtered datasets from successful trajectories
+  3. Create prompt packs (optimized system prompts + skills + examples)
+  4. Shadow-evaluate candidates against baselines
+  5. Only if plateau persists: plan LoRA/distillation (optional)
+
+Key principle: prompt/skill/memory optimization first. Weight updates last.
+"""
+from purpose_agent.optimization.fingerprint import CapabilityFingerprint, fingerprint_traces
+from purpose_agent.optimization.dataset import TraceDatasetBuilder
+from purpose_agent.optimization.prompt_pack import PromptPack, PromptPackBuilder
+from purpose_agent.optimization.shadow_eval import ShadowEvaluator
+from purpose_agent.optimization.optimizer import AgenticOptimizer, OptimizationState
+
+__all__ = [
+    "CapabilityFingerprint", "fingerprint_traces",
+    "TraceDatasetBuilder",
+    "PromptPack", "PromptPackBuilder",
+    "ShadowEvaluator",
+    "AgenticOptimizer", "OptimizationState",
+]