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+# ADR-0145: Energy-Modulated Vault Surface Readback
+
+**Status:** Proposed
+**Date:** 2026-05-25
+**Related:** ADR-0006 (field energy operator), ADR-0004 (vault), W-004 (rethaw)
+
+---
+
+## Context
+
+Under the current architecture:
+- Vault recall re-thaws to energy class `E2` (defined in W-004).
+- The realized output surface currently ignores the energy class of the grounded turn.
+- ADR-0006 §Integration Points explicitly specifies that surface readback should be modulated by the energy class of the grounding source.
+
+This creates a gap where vault-grounded turns are realized without their appropriate energy-modulated prefix, violating the specification of ADR-0006.
+
+---
+
+## Decision
+
+To align surface readback with the energy-modulation requirements of ADR-0006:
+
+1. **Energy Modulation Function:**
+   Implement `energy_modulated_surface(base: str, energy_class: EnergyClass | str | None) -> str` in [realizer.py](file:///Users/kaizenpro/.gemini/antigravity/worktrees/core/adr-w005-surface-readback/generate/realizer.py). This function will prepend the appropriate prefix based on the energy class:
+
+   | Energy Class | Prefix | Example Output |
+   |---|---|---|
+   | `E0` | `"From memory: "` | `"From memory: {surface}"` |
+   | `E1` | `"I seem to recall: "` | `"I seem to recall: {surface}"` |
+   | `E2` | `"I recall: "` | `"I recall: {surface}"` |
+   | `E3`, `E4` | *None* | `"{surface}"` |
+
+   If the base string is empty, the returned value remains empty.
+
+2. **Threading the Energy Class:**
+   - Add `recall_energy_class: str | None` to `CognitiveTurnResult` in [result.py](file:///Users/kaizenpro/.gemini/antigravity/worktrees/core/adr-w005-surface-readback/core/cognition/result.py).
+   - Thread the `recall_energy_class` from the pipeline to `ChatResponse` in [runtime.py](file:///Users/kaizenpro/.gemini/antigravity/worktrees/core/adr-w005-surface-readback/chat/runtime.py).
+
+3. **Modulation Application:**
+   Apply the modulation explicitly in [runtime.py](file:///Users/kaizenpro/.gemini/antigravity/worktrees/core/adr-w005-surface-readback/chat/runtime.py) on grounding pathways where `grounding_source == "vault"`.
+
+---
+
+## What is NOT done
+
+- **E3/E4 Vault Modulation:** While the prefix table handles `E3` and `E4` by prepending nothing, no current vault recall pathways produce energy states reaching `E3` or `E4`.
+- **Readback from Intent:** Rules relating to `readback_from_intent` in `runtime_rules.py` are deferred to W-006 scope.
+
+---
+
+## Consequences
+
+- Surfaces retrieved from the vault (which default to `E2` on re-thaw) will now be prefixed with `"I recall: "`.
+- Pack-grounded and teaching-grounded surfaces remain unaffected and will not receive energy modulation prefixes.
+- `recall_energy_class` is exposed as an inspectable property on `ChatResponse` and `CognitiveTurnResult`.
+
+---
+
+## References
+
+- **ADR-0006**: Field Energy Operator
+- **ADR-0004**: Vault Design
+- **W-004**: Vault Re-thaw
diff --git a/tests/test_adr_0145_energy_modulated_surface.py b/tests/test_adr_0145_energy_modulated_surface.py
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+"""Tests for ADR-0145: Energy-Modulated Vault Surface Readback.
+
+These tests pin the contract that surface readback is modulated by the energy
+class of the grounding source. In particular, vault-grounded turns should prepended
+with energy-dependent prefixes, and the recall energy class must be threaded to
+ChatResponse.
+"""
+
+from __future__ import annotations
+
+import pytest
+
+from chat.runtime import ChatRuntime, ChatResponse
+from core.physics.energy import EnergyClass
+from generate.realizer import energy_modulated_surface
+
+
+def test_energy_modulated_surface_e2_prepends_recall_prefix() -> None:
+    assert (
+        energy_modulated_surface("Light is coherence.", EnergyClass.E2)
+        == "I recall: Light is coherence."
+    )
+
+
+def test_energy_modulated_surface_e0_prepends_from_memory() -> None:
+    assert (
+        energy_modulated_surface("Truth is settled.", EnergyClass.E0)
+        == "From memory: Truth is settled."
+    )
+
+
+def test_energy_modulated_surface_e1_prepends_seem_to_recall() -> None:
+    result = energy_modulated_surface("Light is coherence.", EnergyClass.E1)
+    assert result.startswith("I seem to recall: ")
+    assert result == "I seem to recall: Light is coherence."
+
+
+def test_energy_modulated_surface_e3_no_prefix() -> None:
+    assert (
+        energy_modulated_surface("Clarity.", EnergyClass.E3)
+        == "Clarity."
+    )
+
+
+def test_energy_modulated_surface_empty_base_unchanged() -> None:
+    assert energy_modulated_surface("", EnergyClass.E2) == ""
+
+
+def test_vault_grounded_response_has_recall_prefix() -> None:
+    runtime = ChatRuntime()
+    # Establish a turn state
+    runtime.chat("logos arche")
+    
+    # Store the turn manually in the session vault
+    runtime.session.vault.store(runtime.session.state.F, metadata={"role": "assistant"})
+    
+    # Recall the turn
+    response = runtime.chat("logos arche")
+    
+    assert response.grounding_source == "vault"
+    assert response.surface.startswith("I recall: ")
+    assert response.recall_energy_class == "E2"
+
+
+def test_pack_grounded_response_has_no_recall_prefix() -> None:
+    runtime = ChatRuntime()
+    response = runtime.chat("What is truth?")
+    
+    assert response.grounding_source in {"pack", "teaching"}
+    assert not response.surface.startswith("I recall: ")
+    assert response.recall_energy_class is None
+
+
+def test_recall_energy_class_is_e2_on_vault_hit() -> None:
+    runtime = ChatRuntime()
+    runtime.chat("logos arche")
+    runtime.session.vault.store(runtime.session.state.F, metadata={"role": "assistant"})
+    response = runtime.chat("logos arche")
+    
+    assert response.recall_energy_class == "E2"