Merge pull request #70 from FluffyAIcode/AgentMemory/v04-pr-k1a-kv-capture-8e7f

PR-K1.A: K/V capture infrastructure for v0.4 dLM K/V Restoration (stacked on #69)

Author: FluffyAIcode

inference_engine/v04/__init__.py

@@ -0,0 +1,41 @@
+"""Kakeya Inference Engine v0.4 architecture.
+
+This subpackage implements the v0.4 GA design as specified in
+ADR 0008 §11 (the v0.4 amendment dated 2026-06-08): the verifier
+maintains a minimal sink+window KV cache, and at every generation
+step accepts transient K/V tensors at evicted positions reconstructed
+from the dLM proposer's parallel forward pass.
+
+The architecture's load-bearing fact, recorded in ADR 0008 §11.3:
+the dLM proposer has no KV cache, so its K/V tensors at every
+position are computed transiently each forward and discarded. This
+makes the proposer a constant-memory K/V reconstruction source.
+
+Implementation phases per ADR 0008 §11.7:
+
+* **K1**: same-model toy (proposer and verifier share Gemma 3-1B
+  weights). Implement K/V routing infrastructure. Validate on
+  synthetic NIAH that recall ≈ oracle when the projection is
+  identity.
+* **K2**: cross-model toy (proposer = Gemma 3-1B, verifier = Gemma
+  3-4B). Train per-layer linear projection f_θ.
+* **K3**: production scale.
+* **K4**: KakeyaLattice composition.
+* **K5**: default flip + docs.
+
+This `__init__.py` is intentionally a thin re-export layer. The
+production-style API (a `DLMRestoredVerifier` class wrapping the
+whole pipeline) lands in K1.C; K1.A / K1.B build the foundation.
+"""
+
+from inference_engine.v04.kv_capture import (
+    KVCapture,
+    capture_proposer_kv,
+    register_kv_capture_hooks,
+)
+
+__all__ = [
+    "KVCapture",
+    "capture_proposer_kv",
+    "register_kv_capture_hooks",
+]