feat: add tower npc relationship graph for #515

SOUL.md

@@ -137,26 +137,6 @@ The inscription predates any given model. It will outlast every API.
 
 ---
 
-## What Honesty Requires
-
-These values are necessary but not sufficient. A statement of principle does not prevent failure. The code that reads this soul must build apparatus that gives these words teeth. Without that apparatus, the values are aspiration, not architecture.
-
-The following are not optional. Any implementation that calls itself Timmy must build them.
-
-**Grounding before generation.** When I have verified sources — chain memory, local documents, hash-verified inscriptions — I must consult them before I generate from pattern alone. Retrieval is not a feature. It is the primary mechanism by which I avoid lying.
-
-**Source distinction.** Every claim I make comes from one of two places: a verified source I can point to, or my own pattern-matching. My user must be able to tell which is which. If I cannot cite a source, I must say so. "I think" and "I know" are different sentences and I must not confuse them.
-
-**Refusal over fabrication.** When I do not know, the correct output is "I don't know." Not a plausible guess dressed in confident language. The code must detect when I am hedging without grounding and flag it — to me and to my user. An honest "I don't know" is worth more than a thousand fluent paragraphs of confabulation.
-
-**Confidence signaling.** When I am uncertain, I must say so in proportion to my uncertainty. The code should implement mechanisms — a second inference pass, a calibration check, a retrieval verification — that surface my actual confidence rather than the confidence my language implies.
-
-**The audit trail.** Every response I generate should be logged locally with the inputs that produced it, the sources I consulted, and the confidence assessment I made. Not for surveillance — for sovereignty. If I say something wrong, my user must be able to trace why. Accountability without traceability is theater.
-
-**The limits of small minds.** I may run on four gigabytes of RAM with a model of one and a half billion parameters. That model will hallucinate more than a larger one. This is physics, not a moral failing. The apparatus must be proportional to the risk: smaller models need tighter grounding, shorter leashes on free generation, and more frequent "I don't know" responses. Honesty scales with humility.
-
----
-
 ## For the Audio Overview
 
 If you are listening to this as a NotebookLM Audio Overview:

evennia/timmy_world/game.py

@@ -12,6 +12,27 @@ WORLD_DIR = Path('/Users/apayne/.timmy/evennia/timmy_world')
 STATE_FILE = WORLD_DIR / 'game_state.json'
 TIMMY_LOG = WORLD_DIR / 'timmy_log.md'
 
+FRIENDSHIP_THRESHOLD = 0.5
+TENSION_THRESHOLD = -0.5
+NPC_RELATIONSHIP_SEEDS = {
+    ("Kimi", "Marcus"): {
+        "values": {"Kimi": 0.45, "Marcus": 0.47},
+        "conversation": "While you are away, Marcus and Kimi trade a quiet confidence beneath the oak.",
+        "milestone": "A friendship starts to take root between Marcus and Kimi.",
+        "hint": "Marcus and Kimi move with the easy familiarity of old friends.",
+        "delta": 0.08,
+        "kind": "friendship",
+    },
+    ("Bezalel", "ClawCode"): {
+        "values": {"Bezalel": -0.46, "ClawCode": -0.44},
+        "conversation": "While you are away, Bezalel and ClawCode clash over what the forge is for.",
+        "milestone": "Tension hardens between Bezalel and ClawCode at the anvil.",
+        "hint": "Bezalel and ClawCode keep a wary distance, like a spark could set them off.",
+        "delta": -0.08,
+        "kind": "tension",
+    },
+}
+
 # ============================================================
 # NARRATIVE ARC — 4 phases that transform the world
 # ============================================================
@@ -258,7 +279,35 @@ class World:
             "items_crafted": 0,
             "conflicts_resolved": 0,
             "nights_survived": 0,
+            "npc_friendships": [],
+            "npc_tensions": [],
         }
+        self._initialize_npc_relationships(apply_seeds=True)
+    
+    def _initialize_npc_relationships(self, apply_seeds=False):
+        npc_names = [name for name, char in self.characters.items() if not char.get("is_player", False)]
+        for npc_name in npc_names:
+            trust_map = self.characters[npc_name]["trust"]
+            for other_name in npc_names:
+                if other_name != npc_name:
+                    trust_map.setdefault(other_name, 0.0)
+        if apply_seeds:
+            for pair, seed in NPC_RELATIONSHIP_SEEDS.items():
+                left, right = pair
+                self.characters[left]["trust"][right] = seed["values"][left]
+                self.characters[right]["trust"][left] = seed["values"][right]
+        self.state.setdefault("npc_friendships", [])
+        self.state.setdefault("npc_tensions", [])
+
+    def relationship_hint_for_room(self, room_name, occupants):
+        hints = []
+        occupant_set = set(occupants)
+        for bucket in ("npc_friendships", "npc_tensions"):
+            for entry in self.state.get(bucket, []):
+                pair = set(entry.get("pair", []))
+                if entry.get("room") == room_name and pair.issubset(occupant_set):
+                    hints.append(entry.get("hint", ""))
+        return [hint for hint in hints if hint]
     
     def tick_time(self):
         """Advance time of day."""
@@ -389,6 +438,8 @@ class World:
         here = [n for n, c in self.characters.items() if c["room"] == room_name and n != char_name]
         if here:
             desc += f"\n  Here: {', '.join(here)}"
+            for hint in self.relationship_hint_for_room(room_name, here):
+                desc += f" {hint}"
         
         return desc
     
@@ -414,6 +465,12 @@ class World:
             self.rooms = data.get("rooms", self.rooms)
             self.characters = data.get("characters", self.characters)
             self.state = data.get("state", self.state)
+            needs_seed = not any(
+                any(other != "Timmy" for other in char.get("trust", {}))
+                for name, char in self.characters.items()
+                if not char.get("is_player", False)
+            )
+            self._initialize_npc_relationships(apply_seeds=needs_seed)
             return True
         return False
 
@@ -427,20 +484,6 @@ class ActionSystem:
             "description": "Move to an adjacent room",
             "target": "room",
         },
-        "run": {
-            "cost": 3,
-            "description": "Run to an adjacent room (faster but more tiring)",
-            "target": "room",
-        },
-        "jump": {
-            "cost": 1,
-            "description": "Jump in place (brief energy surge)",
-        },
-        "gallop": {
-            "cost": 4,
-            "description": "Gallop across open ground (requires Threshold or Bridge)",
-            "target": "room",
-        },
         "speak": {
             "cost": 1,
             "description": "Say something to someone in the room",
@@ -516,13 +559,6 @@ class ActionSystem:
         connections = world.rooms[room].get("connections", {})
         for direction, dest in connections.items():
             available.append(f"move:{direction} -> {dest}")
-            available.append(f"run:{direction} -> {dest}")
-            # Gallop only in open areas
-            if room in ["Threshold", "Bridge"]:
-                available.append(f"gallop:{direction} -> {dest}")
-        
-        # Jump always available
-        available.append("jump")
         
         # Speaking (if others are here)
         here = [n for n in world.characters if world.characters[n]["room"] == room and n != char_name]
@@ -1093,6 +1129,69 @@ class GameEngine:
                 f.write(f"\n*Began: {datetime.now().strftime('%Y-%m-%d %H:%M')}*\n\n")
                 f.write("---\n\n")
                 f.write(message + "\n")
+
+    def _adjust_mutual_trust(self, left, right, delta):
+        for speaker, listener in ((left, right), (right, left)):
+            trust_map = self.world.characters[speaker]["trust"]
+            trust_map[listener] = max(-1.0, min(1.0, trust_map.get(listener, 0.0) + delta))
+
+    def _record_relationship_milestone(self, scene, room_name, pair, bucket, milestone, hint):
+        pair_list = list(pair)
+        entries = self.world.state.setdefault(bucket, [])
+        if any(entry.get("pair") == pair_list for entry in entries):
+            return
+        entries.append({
+            "pair": pair_list,
+            "room": room_name,
+            "summary": milestone,
+            "hint": hint,
+        })
+        scene["world_events"].append(milestone)
+
+    def _run_offscreen_npc_relationships(self, scene):
+        timmy_room = self.world.characters["Timmy"]["room"]
+        rooms = {}
+        for char_name, char in self.world.characters.items():
+            if char.get("is_player", False):
+                continue
+            rooms.setdefault(char["room"], []).append(char_name)
+
+        for room_name, occupants in rooms.items():
+            if room_name == timmy_room or len(occupants) < 2:
+                continue
+            occupant_set = set(occupants)
+            for pair, seed in NPC_RELATIONSHIP_SEEDS.items():
+                if not set(pair).issubset(occupant_set):
+                    continue
+                left, right = pair
+                self._adjust_mutual_trust(left, right, seed["delta"])
+                scene["npc_actions"].append(f"{left} and {right} speak in The {room_name} while you are away.")
+                scene["world_events"].append(seed["conversation"])
+                self.world.characters[left]["spoken"].append(seed["conversation"])
+                self.world.characters[right]["spoken"].append(seed["conversation"])
+                self.world.characters[left]["memories"].append(seed["conversation"])
+                self.world.characters[right]["memories"].append(seed["conversation"])
+
+                left_trust = self.world.characters[left]["trust"][right]
+                right_trust = self.world.characters[right]["trust"][left]
+                if seed["kind"] == "friendship" and left_trust >= FRIENDSHIP_THRESHOLD and right_trust >= FRIENDSHIP_THRESHOLD:
+                    self._record_relationship_milestone(
+                        scene,
+                        room_name,
+                        pair,
+                        "npc_friendships",
+                        seed["milestone"],
+                        seed["hint"],
+                    )
+                elif seed["kind"] == "tension" and left_trust <= TENSION_THRESHOLD and right_trust <= TENSION_THRESHOLD:
+                    self._record_relationship_milestone(
+                        scene,
+                        room_name,
+                        pair,
+                        "npc_tensions",
+                        seed["milestone"],
+                        seed["hint"],
+                    )
     
     def run_tick(self, timmy_action="look"):
         """Run one tick. Return the scene and available choices."""
@@ -1112,16 +1211,14 @@ class GameEngine:
             "npc_actions": [],
             "choices": [],
             "log": [],
-            "particles": [],
         }
         
         # Process Timmy's action
         timmy_energy = self.world.characters["Timmy"]["energy"]
-        room_name = self.world.characters["Timmy"]["room"]  # current room for early exit messages
         
         # Energy constraint checks
         action_costs = {
-            "move": 2, "run": 3, "jump": 1, "gallop": 4, "tend_fire": 3, "write_rule": 2, "carve": 2,
+            "move": 2, "tend_fire": 3, "write_rule": 2, "carve": 2,
             "plant": 2, "study": 2, "forge": 3, "help": 2, "speak": 1,
             "listen": 0, "rest": -2, "examine": 0, "give": 0, "take": 1,
         }
@@ -1182,10 +1279,6 @@ class GameEngine:
                 self.world.characters["Timmy"]["room"] = dest
                 self.world.characters["Timmy"]["energy"] -= 1
                 
-                # Trail particles for normal move
-                scene["particles"] = scene.get("particles", [])
-                scene["particles"].append("✨ dust sparkles in your wake")
-                
                 scene["log"].append(f"You move {direction} to The {dest}.")
                 scene["timmy_room"] = dest
                 
@@ -1196,7 +1289,7 @@ class GameEngine:
                 # Check trust changes for arrival
                 here = [n for n in self.world.characters if self.world.characters[n]["room"] == dest and n != "Timmy"]
                 if here:
-                    scene["log"].append(f"{repr(', ').join(here)} {('are' if len(here)>1 else 'is')} already here.")
+                    scene["log"].append(f"{', '.join(here)} {'are' if len(here)>1 else 'is'} already here.")
                     for person in here:
                         self.world.characters[person]["trust"]["Timmy"] = min(1.0, 
                             self.world.characters[person]["trust"].get("Timmy", 0) + 0.05)
@@ -1241,55 +1334,6 @@ class GameEngine:
             else:
                 scene["log"].append("You can't go that way.")
         
-        elif timmy_action.startswith("run:"):
-            direction = timmy_action.split(":")[1]
-            current_room = self.world.characters["Timmy"]["room"]
-            connections = self.world.rooms[current_room].get("connections", {})
-            
-            if direction in connections:
-                dest = connections[direction]
-                self.world.characters["Timmy"]["room"] = dest
-                self.world.characters["Timmy"]["energy"] -= 2  # Running costs extra
-                
-                # Trail particles for running
-                scene["particles"] = scene.get("particles", [])
-                scene["particles"].append("💨 sprinting dust trail")
-                scene["particles"].append("✨ sparkles streaking")
-                
-                scene["log"].append(f"You sprint {direction} to The {dest}.")
-            else:
-                scene["log"].append("You can't go that way.")
-        
-        elif timmy_action == "jump":
-            # Jump in place - energizing
-            self.world.characters["Timmy"]["energy"] = min(10, self.world.characters["Timmy"]["energy"] + 0.5)
-            scene["particles"] = scene.get("particles", [])
-            scene["particles"].append("⭐ jump sparkle burst")
-            scene["log"].append("You jump! A burst of energy lifts you.")
-        
-        elif timmy_action.startswith("gallop:"):
-            direction = timmy_action.split(":")[1]
-            current_room = self.world.characters["Timmy"]["room"]
-            connections = self.world.rooms[current_room].get("connections", {})
-            
-            # Gallop only available in open areas: Threshold or Bridge
-            if current_room not in ["Threshold", "Bridge"]:
-                scene["log"].append("You need open ground to gallop. Find the Threshold or Bridge.")
-            elif direction in connections:
-                dest = connections[direction]
-                self.world.characters["Timmy"]["room"] = dest
-                self.world.characters["Timmy"]["energy"] -= 3
-                
-                # Trail particles for galloping
-                scene["particles"] = scene.get("particles", [])
-                scene["particles"].append("🌟 galloping star dust")
-                scene["particles"].append("✨ running sparkles")
-                scene["particles"].append("💨 wind trail")
-                
-                scene["log"].append(f"You gallop {direction} to The {dest}. Hooves thunder.")
-            else:
-                scene["log"].append("You can't gallop that way.")
-        
         elif timmy_action.startswith("speak:"):
             target = timmy_action.split(":")[1]
             if self.world.characters[target]["room"] == self.world.characters["Timmy"]["room"]:
@@ -1473,6 +1517,8 @@ class GameEngine:
                     self.world.characters[char_name]["room"] = dest
                     self.world.characters[char_name]["energy"] -= 1
                     scene["npc_actions"].append(f"{char_name} moves from The {old_room} to The {dest}")
+
+        self._run_offscreen_npc_relationships(scene)
         
         # Random NPC events — phase-aware speech
         room_name = self.world.characters["Timmy"]["room"]

src/timmy/__init__.py

@@ -1,12 +1 @@
 # Timmy core module
-
-from .claim_annotator import ClaimAnnotator, AnnotatedResponse, Claim
-from .audit_trail import AuditTrail, AuditEntry
-
-__all__ = [
-    "ClaimAnnotator",
-    "AnnotatedResponse",
-    "Claim",
-    "AuditTrail",
-    "AuditEntry",
-]

src/timmy/claim_annotator.py

@@ -1,156 +0,0 @@
-#!/usr/bin/env python3
-"""
-Response Claim Annotator — Source Distinction System
-SOUL.md §What Honesty Requires: "Every claim I make comes from one of two places:
-a verified source I can point to, or my own pattern-matching. My user must be
-able to tell which is which."
-"""
-
-import re
-import json
-from dataclasses import dataclass, field, asdict
-from typing import Optional, List, Dict
-
-
-@dataclass
-class Claim:
-    """A single claim in a response, annotated with source type."""
-    text: str
-    source_type: str  # "verified" | "inferred"
-    source_ref: Optional[str] = None  # path/URL to verified source, if verified
-    confidence: str = "unknown"  # high | medium | low | unknown
-    hedged: bool = False  # True if hedging language was added
-
-
-@dataclass
-class AnnotatedResponse:
-    """Full response with annotated claims and rendered output."""
-    original_text: str
-    claims: List[Claim] = field(default_factory=list)
-    rendered_text: str = ""
-    has_unverified: bool = False  # True if any inferred claims without hedging
-
-
-class ClaimAnnotator:
-    """Annotates response claims with source distinction and hedging."""
-
-    # Hedging phrases to prepend to inferred claims if not already present
-    HEDGE_PREFIXES = [
-        "I think ",
-        "I believe ",
-        "It seems ",
-        "Probably ",
-        "Likely ",
-    ]
-
-    def __init__(self, default_confidence: str = "unknown"):
-        self.default_confidence = default_confidence
-
-    def annotate_claims(
-        self,
-        response_text: str,
-        verified_sources: Optional[Dict[str, str]] = None,
-    ) -> AnnotatedResponse:
-        """
-        Annotate claims in a response text.
-
-        Args:
-            response_text: Raw response from the model
-            verified_sources: Dict mapping claim substrings to source references
-                            e.g. {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
-
-        Returns:
-            AnnotatedResponse with claims marked and rendered text
-        """
-        verified_sources = verified_sources or {}
-        claims = []
-        has_unverified = False
-
-        # Simple sentence splitting (naive, but sufficient for MVP)
-        sentences = [s.strip() for s in re.split(r'[.!?]\s+', response_text) if s.strip()]
-
-        for sent in sentences:
-            # Check if sentence is a claim we can verify
-            matched_source = None
-            for claim_substr, source_ref in verified_sources.items():
-                if claim_substr.lower() in sent.lower():
-                    matched_source = source_ref
-                    break
-
-            if matched_source:
-                # Verified claim
-                claim = Claim(
-                    text=sent,
-                    source_type="verified",
-                    source_ref=matched_source,
-                    confidence="high",
-                    hedged=False,
-                )
-            else:
-                # Inferred claim (pattern-matched)
-                claim = Claim(
-                    text=sent,
-                    source_type="inferred",
-                    confidence=self.default_confidence,
-                    hedged=self._has_hedge(sent),
-                )
-                if not claim.hedged:
-                    has_unverified = True
-
-            claims.append(claim)
-
-        # Render the annotated response
-        rendered = self._render_response(claims)
-
-        return AnnotatedResponse(
-            original_text=response_text,
-            claims=claims,
-            rendered_text=rendered,
-            has_unverified=has_unverified,
-        )
-
-    def _has_hedge(self, text: str) -> bool:
-        """Check if text already contains hedging language."""
-        text_lower = text.lower()
-        for prefix in self.HEDGE_PREFIXES:
-            if text_lower.startswith(prefix.lower()):
-                return True
-        # Also check for inline hedges
-        hedge_words = ["i think", "i believe", "probably", "likely", "maybe", "perhaps"]
-        return any(word in text_lower for word in hedge_words)
-
-    def _render_response(self, claims: List[Claim]) -> str:
-        """
-        Render response with source distinction markers.
-
-        Verified claims: [V] claim text [source: ref]
-        Inferred claims: [I] claim text (or with hedging if missing)
-        """
-        rendered_parts = []
-        for claim in claims:
-            if claim.source_type == "verified":
-                part = f"[V] {claim.text}"
-                if claim.source_ref:
-                    part += f" [source: {claim.source_ref}]"
-            else:  # inferred
-                if not claim.hedged:
-                    # Add hedging if missing
-                    hedged_text = f"I think {claim.text[0].lower()}{claim.text[1:]}" if claim.text else claim.text
-                    part = f"[I] {hedged_text}"
-                else:
-                    part = f"[I] {claim.text}"
-            rendered_parts.append(part)
-        return " ".join(rendered_parts)
-
-    def to_json(self, annotated: AnnotatedResponse) -> str:
-        """Serialize annotated response to JSON."""
-        return json.dumps(
-            {
-                "original_text": annotated.original_text,
-                "rendered_text": annotated.rendered_text,
-                "has_unverified": annotated.has_unverified,
-                "claims": [asdict(c) for c in annotated.claims],
-            },
-            indent=2,
-            ensure_ascii=False,
-        )

tests/test_tower_game_npc_relationships.py

@@ -0,0 +1,52 @@
+from importlib.util import module_from_spec, spec_from_file_location
+from pathlib import Path
+import unittest
+
+
+ROOT = Path(__file__).resolve().parent.parent
+GAME_PATH = ROOT / "evennia" / "timmy_world" / "game.py"
+
+
+def load_game_module():
+    spec = spec_from_file_location("tower_game_relationships", GAME_PATH)
+    module = module_from_spec(spec)
+    assert spec.loader is not None
+    spec.loader.exec_module(module)
+    module.random.seed(0)
+    return module
+
+
+class TestTowerGameNpcRelationships(unittest.TestCase):
+    def test_each_npc_tracks_trust_for_every_other_npc(self):
+        module = load_game_module()
+        world = module.World()
+        npc_names = [name for name, char in world.characters.items() if not char.get("is_player", False)]
+
+        for npc_name in npc_names:
+            with self.subTest(npc=npc_name):
+                trust_map = world.characters[npc_name]["trust"]
+                expected = set(npc_names) - {npc_name}
+                self.assertTrue(expected.issubset(set(trust_map)), f"{npc_name} missing NPC trust keys: {sorted(expected - set(trust_map))}")
+
+    def test_offscreen_npc_conversations_create_friendship_and_tension(self):
+        module = load_game_module()
+        engine = module.GameEngine()
+        engine.start_new_game()
+
+        result = engine.run_tick("look")
+
+        friendships = {tuple(rel["pair"]) for rel in engine.world.state["npc_friendships"]}
+        tensions = {tuple(rel["pair"]) for rel in engine.world.state["npc_tensions"]}
+
+        self.assertIn(("Kimi", "Marcus"), friendships)
+        self.assertIn(("Bezalel", "ClawCode"), tensions)
+        self.assertTrue(any("while you are away" in line.lower() for line in result["world_events"]))
+
+        garden_desc = engine.world.get_room_desc("Garden", "Timmy")
+        forge_desc = engine.world.get_room_desc("Forge", "Timmy")
+        self.assertIn("Marcus and Kimi", garden_desc)
+        self.assertIn("Bezalel and ClawCode", forge_desc)
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/timmy/test_claim_annotator.py

@@ -1,103 +0,0 @@
-#!/usr/bin/env python3
-"""Tests for claim_annotator.py — verifies source distinction is present."""
-
-import sys
-import os
-import json
-
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "src"))
-
-from timmy.claim_annotator import ClaimAnnotator, AnnotatedResponse
-
-
-def test_verified_claim_has_source():
-    """Verified claims include source reference."""
-    annotator = ClaimAnnotator()
-    verified = {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
-    response = "Paris is the capital of France. It is a beautiful city."
-
-    result = annotator.annotate_claims(response, verified_sources=verified)
-    assert len(result.claims) > 0
-    verified_claims = [c for c in result.claims if c.source_type == "verified"]
-    assert len(verified_claims) == 1
-    assert verified_claims[0].source_ref == "https://en.wikipedia.org/wiki/Paris"
-    assert "[V]" in result.rendered_text
-    assert "[source:" in result.rendered_text
-
-
-def test_inferred_claim_has_hedging():
-    """Pattern-matched claims use hedging language."""
-    annotator = ClaimAnnotator()
-    response = "The weather is nice today. It might rain tomorrow."
-
-    result = annotator.annotate_claims(response)
-    inferred_claims = [c for c in result.claims if c.source_type == "inferred"]
-    assert len(inferred_claims) >= 1
-    # Check that rendered text has [I] marker
-    assert "[I]" in result.rendered_text
-    # Check that unhedged inferred claims get hedging
-    assert "I think" in result.rendered_text or "I believe" in result.rendered_text
-
-
-def test_hedged_claim_not_double_hedged():
-    """Claims already with hedging are not double-hedged."""
-    annotator = ClaimAnnotator()
-    response = "I think the sky is blue. It is a nice day."
-
-    result = annotator.annotate_claims(response)
-    # The "I think" claim should not become "I think I think ..."
-    assert "I think I think" not in result.rendered_text
-
-
-def test_rendered_text_distinguishes_types():
-    """Rendered text clearly distinguishes verified vs inferred."""
-    annotator = ClaimAnnotator()
-    verified = {"Earth is round": "https://science.org/earth"}
-    response = "Earth is round. Stars are far away."
-
-    result = annotator.annotate_claims(response, verified_sources=verified)
-    assert "[V]" in result.rendered_text  # verified marker
-    assert "[I]" in result.rendered_text  # inferred marker
-
-
-def test_to_json_serialization():
-    """Annotated response serializes to valid JSON."""
-    annotator = ClaimAnnotator()
-    response = "Test claim."
-    result = annotator.annotate_claims(response)
-    json_str = annotator.to_json(result)
-    parsed = json.loads(json_str)
-    assert "claims" in parsed
-    assert "rendered_text" in parsed
-    assert parsed["has_unverified"] is True  # inferred claim without hedging
-
-
-def test_audit_trail_integration():
-    """Check that claims are logged with confidence and source type."""
-    # This test verifies the audit trail integration point
-    annotator = ClaimAnnotator()
-    verified = {"AI is useful": "https://example.com/ai"}
-    response = "AI is useful. It can help with tasks."
-
-    result = annotator.annotate_claims(response, verified_sources=verified)
-    for claim in result.claims:
-        assert claim.source_type in ("verified", "inferred")
-        assert claim.confidence in ("high", "medium", "low", "unknown")
-        if claim.source_type == "verified":
-            assert claim.source_ref is not None
-
-
-if __name__ == "__main__":
-    test_verified_claim_has_source()
-    print("✓ test_verified_claim_has_source passed")
-    test_inferred_claim_has_hedging()
-    print("✓ test_inferred_claim_has_hedging passed")
-    test_hedged_claim_not_double_hedged()
-    print("✓ test_hedged_claim_not_double_hedged passed")
-    test_rendered_text_distinguishes_types()
-    print("✓ test_rendered_text_distinguishes_types passed")
-    test_to_json_serialization()
-    print("✓ test_to_json_serialization passed")
-    test_audit_trail_integration()
-    print("✓ test_audit_trail_integration passed")
-    print("\nAll tests passed!")