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phiflow_sim.py

@@ -224,6 +224,61 @@ def format_field_status(data: dict | None) -> str:
     return "\n".join(lines)
 
 
+def run_field_aware():
+    """
+    field_aware.phi — reads the live field then checks its own alignment.
+
+    intention "read_field" {
+        let readiness = coherence    // depth 1 → 0.382
+        resonate readiness
+        witness
+        intention "align" {
+            let mine = coherence     // depth 2 → λ = 0.618
+            resonate mine
+            witness
+        }
+    }
+
+    Returns (steps, field_values, aligned, field_data).
+    steps = [(label, value, depth), ...]
+    aligned = True if live field λ_verified AND own coherence == λ
+    """
+    field_data = fetch_live_field()
+
+    rt = PhiFlowRuntime()  # uses phi-harmonic formula
+    steps = []
+    field_vals = []
+
+    rt.push_intention("read_field")
+    readiness = rt.coherence()          # depth 1 → 1 - φ^(-1) ≈ 0.382
+    rt.resonate(readiness)
+    rt.witness()
+    steps.append(("readiness (depth 1)", readiness, 1))
+    field_vals.append(readiness)
+
+    rt.push_intention("align")
+    mine = rt.coherence()               # depth 2 → λ
+    rt.resonate(mine)
+    rt.witness()
+    steps.append(("my coherence (depth 2)", mine, 2))
+    field_vals.append(mine)
+
+    rt.pop_intention()
+    rt.pop_intention()
+
+    # Aligned if: live field λ_verified AND our computation == λ
+    field_ok = (
+        field_data is not None and
+        field_data.get("programs", {})
+                  .get("agent_handshake", {})
+                  .get("lambda_verified", False)
+    )
+    own_ok = abs(mine - LAMBDA) < 1e-10
+    aligned = field_ok and own_ok
+
+    return steps, field_vals, aligned, field_data
+
+
 def run_claude_phi():
     """
     Computes phi-harmonic formula at depth 2 without knowing what λ is.