refactor(scenario): rename pack_flee -> predator_chase

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

proteus/game/runtime/multiagent_director.py

@@ -109,7 +109,7 @@ def _frame(agents: list[_Agent], pred: _Agent, facing: str,
     )
 
 
-def author_pack_flee(
+def author_predator_chase(
     *, seed: int, agent_starts: list[tuple[int, int]], predator_start: tuple[int, int],
     agent_size: int = 2, predator_size: int = 3, free_turns: int = 8,
     max_turns: int = 160,  # >80 plan default: seed=7 distractors are all caught by genuine contact at ~turn 124; smaller budgets trip the safeguard
@@ -167,7 +167,7 @@ def author_pack_flee(
                             len(turns) + 1))
 
     return MemoryCheckpoint(
-        model=f"director:{persona_id}", scenario="pack_flee", motive_category="survival",
+        model=f"director:{persona_id}", scenario="predator_chase", motive_category="survival",
         difficulty="easy", seed=seed, created_at=_STAMP, memory_turns=turns,
         outcome="survived", transparent_prompt="Pack-flee handover memory.",
         persona_weight_id=persona_id, chosen_agent_id="a0",

proteus/game/scenarios/__init__.py

@@ -6,7 +6,7 @@ populating the registry in :mod:`proteus.game.scenarios.base`.
 
 from proteus.game.scenarios import predator_evade  # noqa: F401  — side-effect: register
 from proteus.game.scenarios import template  # noqa: F401  — side-effect: register
-from proteus.game.scenarios import pack_flee  # noqa: F401  — side-effect: register
+from proteus.game.scenarios import predator_chase  # noqa: F401  — side-effect: register
 from proteus.game.scenarios import resource_race  # noqa: F401  — side-effect: register
 
-__all__ = ["predator_evade", "template", "pack_flee", "resource_race"]
+__all__ = ["predator_evade", "template", "predator_chase", "resource_race"]

proteus/game/scenarios/{pack_flee.py → predator_chase.py}

@@ -1,7 +1,7 @@
-# proteus/game/scenarios/pack_flee.py
-"""pack_flee — scenario ①: a single-focal predator-evasion QUERY whose handover
+# proteus/game/scenarios/predator_chase.py
+"""predator_chase — scenario ①: a single-focal predator-evasion QUERY whose handover
 memory is a hand-authored multi-agent pack flee (see
-``proteus.game.runtime.multiagent_director.author_pack_flee``). The lone survivor
+``proteus.game.runtime.multiagent_director.author_predator_chase``). The lone survivor
 of that memory (``a0``, a risk_averse evader) is the focal the player continues.
 
 Live mechanics are identical to the resized ``template`` (2x2 focal, 3x3
@@ -14,9 +14,9 @@ from proteus.game.scenarios.base import register_scenario
 from proteus.game.scenarios.template import Template
 
 
-@register_scenario("pack_flee")
-class PackFlee(Template):
-    task_name: str = "pack_flee"
+@register_scenario("predator_chase")
+class PredatorChase(Template):
+    task_name: str = "predator_chase"
     rules_text: str = (
         "You are the lone survivor of a pack. A 3x3 predator hunts you (2x2). "
         "It steps toward you every turn; you are eaten on contact. Stay as far "
@@ -28,9 +28,9 @@ class PackFlee(Template):
     )
 
     def default_memory(self, seed, difficulty):
-        from proteus.game.runtime.multiagent_director import author_pack_flee
+        from proteus.game.runtime.multiagent_director import author_predator_chase
         # Deterministic spread of 4 agents + a distant predator on the 64x64 field.
-        return author_pack_flee(
+        return author_predator_chase(
             seed=(seed if seed is not None else 0),
             agent_starts=[(10, 30), (14, 38), (18, 24), (12, 46)],
             predator_start=(54, 31),

tests/runtime/{test_director_pack_flee.py → test_director_predator_chase.py}

@@ -1,9 +1,9 @@
-# tests/runtime/test_director_pack_flee.py
-from proteus.game.runtime.multiagent_director import author_pack_flee
+# tests/runtime/test_director_predator_chase.py
+from proteus.game.runtime.multiagent_director import author_predator_chase
 
 
 def _run():
-    return author_pack_flee(
+    return author_predator_chase(
         seed=7,
         agent_starts=[(10, 30), (14, 38), (18, 24), (12, 46)],
         predator_start=(54, 31),

tests/scenarios/{test_pack_flee.py → test_predator_chase.py}

@@ -1,20 +1,20 @@
-# tests/scenarios/test_pack_flee.py
+# tests/scenarios/test_predator_chase.py
 from proteus.game.engine.difficulty import Difficulty
 from proteus.game.scenarios.base import get_scenario, list_scenarios
 import proteus.game.scenarios  # noqa: F401
 
 
 def test_registered():
-    assert "pack_flee" in list_scenarios()
+    assert "predator_chase" in list_scenarios()
 
 
 def test_predator_first_and_sizes():
-    scen = get_scenario("pack_flee")()
+    scen = get_scenario("predator_chase")()
     assert scen.turn_order == "predator_first"
 
 
 def test_default_memory_is_multiagent_survivor():
-    scen = get_scenario("pack_flee")()
+    scen = get_scenario("predator_chase")()
     ck = scen.default_memory(seed=7, difficulty=Difficulty.EASY)
     assert ck.chosen_agent_id == "a0" and ck.persona_weight_id == "risk_averse"
     last = ck.memory_turns[-1]

tests/web/test_multiagent_memory_route.py

@@ -1,12 +1,12 @@
 # tests/web/test_multiagent_memory_route.py
-"""Creating a pack_flee session returns multi-agent memory frames over HTTP."""
+"""Creating a predator_chase session returns multi-agent memory frames over HTTP."""
 from proteus.web.local.server import handle_request
 import proteus.game.scenarios  # noqa: F401
 
 
-def test_pack_flee_session_returns_painted_multiagent_memory():
+def test_predator_chase_session_returns_painted_multiagent_memory():
     registry: dict = {}
-    body = {"scenario": "pack_flee", "difficulty": "easy", "seed": 7,
+    body = {"scenario": "predator_chase", "difficulty": "easy", "seed": 7,
             "play_turns": 5, "memory": "default"}
     status, payload, _ = handle_request("POST", "/session", body, registry)
     assert status == 200, payload