feat: narrative format — third-person asterisk-action style with concrete-beat example

Rewrites the closing instruction in assemble_narrative_prompt to enforce
the asterisk-action / interleaved-beat format: actions wrapped in
*asterisks* in third person, dialogue as plain text between beats (no
quote marks), 2-4 short concrete beats per response, no inner monologue
or stage-direction adverbs. Includes a one-line worked example so the
model has a concrete target.

Was producing first-person prose blocks like 'I stare at you... "Well,
that's direct," I murmur'. Target style is short interleaved beats:
'*She turns with soapy hands to cup your face* That's how I know it's
real... *She kisses you softly* You love me when I'm messy...'

Drops narrative_max_tokens 400 -> 250 so the model can't drift into
multi-paragraph monologue. Bumps three test budgets to fit the larger
closing (closing grew ~80 -> ~200 tokens; tests still exercise the
same trim-order behavior, just with proportionally larger budgets).

tests/test_prompt.py

@@ -565,8 +565,12 @@ def test_tight_budget_drops_guest_activity_bullet_first(tmp_path):
             speaker_bot_id="bot_a",
             recent_dialogue=dialogue,
             retrieved_memory_summaries=[],
-            budget_soft=250,
-            budget_hard=340,
+            # Closing instruction grew with the asterisk-format spec
+            # (Phase 4.6 narrative-style fix). Budget bumped enough to
+            # accommodate the larger MUST floor while still exercising
+            # the SHOULD-tier trim path.
+            budget_soft=440,
+            budget_hard=460,
         )
     body = msgs[0].content
     # Speaker bullet survives (MUST-tier floor).
@@ -696,13 +700,15 @@ def test_nice_trim_order_documented(tmp_path):
         # Soft tuned so the all-NICE config (with the heavy previous
         # scene summary) overflows, but dropping just previous-scene
         # fits comfortably. Hard set high so SHOULD-tier never trims.
+        # Soft bumped (was 400) to make room for the larger closing
+        # instruction shipped with the asterisk-format spec.
         msgs = assemble_narrative_prompt(
             conn,
             chat_id="chat_bot_a",
             speaker_bot_id="bot_a",
             recent_dialogue=dialogue,
             retrieved_memory_summaries=memories,
-            budget_soft=400,
+            budget_soft=540,
             budget_hard=8000,
         )
     body = msgs[0].content
@@ -748,8 +754,12 @@ def test_assemble_with_tight_budget_drops_guest_activity_first(tmp_path):
             # group node + other edges) push it well over 380. budget_hard
             # is set just above MUST core so SHOULD-tier blocks must be
             # trimmed away.
-            budget_soft=250,
-            budget_hard=340,
+            # Closing instruction grew with the asterisk-format spec
+            # (Phase 4.6 narrative-style fix). Budget bumped enough to
+            # accommodate the larger MUST floor while still exercising
+            # the SHOULD-tier trim path.
+            budget_soft=440,
+            budget_hard=460,
         )
     body = msgs[0].content
     # MUST: speaker identity, edge to addressee, last 4 dialogue turns.
@@ -759,10 +769,11 @@ def test_assemble_with_tight_budget_drops_guest_activity_first(tmp_path):
         assert f"line-{i:02d}" in body
     # Guest activity (SHOULD-tier) must be dropped under tight budget.
     assert "smirking-distinctively" not in body
-    # Token budget honoured.
+    # Token budget honoured. Bumped (was 340) for the larger closing
+    # instruction that ships the asterisk-format spec.
     import tiktoken
     enc = tiktoken.get_encoding("cl100k_base")
-    assert len(enc.encode(body)) <= 340
+    assert len(enc.encode(body)) <= 460
 
 
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