Compare commits
2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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a091a5c9bf | ||
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4afde6da78 |
@@ -454,23 +454,112 @@ class TimmyAI:
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class NPCAI:
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"""AI for non-player characters. They make choices based on goals."""
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GOAL_ROOM_TARGETS = {
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"Marcus": {
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"sit": "Garden",
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"speak_truth": "Threshold",
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"remember": "Bridge",
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},
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"Bezalel": {
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"forge": "Forge",
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"tend_fire": "Forge",
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"create_key": "Forge",
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},
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"Allegro": {
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"oversee": "Threshold",
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"keep_time": "Tower",
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"check_tunnel": "Bridge",
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},
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"Ezra": {
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"study": "Tower",
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"read_whiteboard": "Tower",
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"find_pattern": "Tower",
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},
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"Gemini": {
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"observe": "Threshold",
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"tend_garden": "Garden",
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"listen": "Garden",
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},
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"Claude": {
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"inspect": "Threshold",
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"organize": "Tower",
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"enforce_order": "Bridge",
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},
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"ClawCode": {
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"forge": "Forge",
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"test_edge": "Bridge",
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"build_weapon": "Forge",
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},
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"Kimi": {
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"contemplate": "Garden",
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"read": "Tower",
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"remember": "Bridge",
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},
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}
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GOAL_CYCLES = {
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"Marcus": ("sit", "speak_truth", "remember"),
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"Allegro": ("oversee", "keep_time", "check_tunnel"),
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"Claude": ("inspect", "organize", "enforce_order"),
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"ClawCode": ("test_edge", "forge", "build_weapon"),
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"Kimi": ("contemplate", "read", "remember"),
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}
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def __init__(self, world):
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self.world = world
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def _available_targets(self, available, prefix):
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return [a.split(":", 1)[1] for a in available if a.startswith(f"{prefix}:")]
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def _target_room_for(self, char_name, goal):
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return self.GOAL_ROOM_TARGETS.get(char_name, {}).get(goal)
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def _next_direction_toward(self, current_room, target_room):
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if current_room == target_room:
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return None
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frontier = [(current_room, [])]
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seen = {current_room}
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while frontier:
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room, path = frontier.pop(0)
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if room == target_room:
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return path[0] if path else None
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for direction, dest in self.world.rooms[room].get("connections", {}).items():
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if dest not in seen:
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seen.add(dest)
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frontier.append((dest, path + [direction]))
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return None
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def _move_toward_goal(self, room, target_room):
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direction = self._next_direction_toward(room, target_room)
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return f"move:{direction}" if direction else None
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def _advance_goal_cycle(self, char_name, char):
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cycle = self.GOAL_CYCLES.get(char_name)
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if not cycle or self.world.tick <= 0:
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return
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goal = char.get("active_goal")
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if goal not in cycle:
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return
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target_room = self._target_room_for(char_name, goal)
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if char.get("room") != target_room:
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return
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if self.world.tick % 12 != 0:
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return
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index = cycle.index(goal)
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char["active_goal"] = cycle[(index + 1) % len(cycle)]
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def make_choice(self, char_name):
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"""Make a choice for this NPC this tick."""
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char = self.world.characters[char_name]
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self._advance_goal_cycle(char_name, char)
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room = char["room"]
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available = ActionSystem.get_available_actions(char_name, self.world)
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# If low energy, rest
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if char["energy"] <= 1:
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return "rest"
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# Goal-driven behavior
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goal = char["active_goal"]
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if char_name == "Marcus":
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return self._marcus_choice(char, room, available)
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elif char_name == "Bezalel":
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@@ -487,66 +576,96 @@ class NPCAI:
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return self._clawcode_choice(char, room, available)
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elif char_name == "Kimi":
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return self._kimi_choice(char, room, available)
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return "rest"
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def _marcus_choice(self, char, room, available):
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goal = char.get("active_goal", "sit")
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target_room = self._target_room_for("Marcus", goal)
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if room != target_room:
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return self._move_toward_goal(room, target_room) or "rest"
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others = self._available_targets(available, "speak")
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if goal == "speak_truth" and others:
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return f"speak:{random.choice(others)}"
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if goal == "remember" and room == "Bridge":
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return random.choice(["examine", "rest"])
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if room == "Garden" and random.random() < 0.7:
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return "rest"
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if room != "Garden":
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return "move:west"
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# Speak to someone if possible
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others = [a.split(":")[1] for a in available if a.startswith("speak:")]
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if others and random.random() < 0.4:
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return f"speak:{random.choice(others)}"
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return "rest"
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def _bezalel_choice(self, char, room, available):
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target_room = self._target_room_for("Bezalel", char.get("active_goal", "forge"))
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if room != target_room:
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return self._move_toward_goal(room, target_room) or "rest"
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if room == "Forge" and self.world.rooms["Forge"]["fire"] == "glowing":
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return random.choice(["forge", "rest"] if char["energy"] > 2 else ["rest"])
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if room != "Forge":
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return "move:west"
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if random.random() < 0.3:
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return "tend_fire"
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return "forge"
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def _kimi_choice(self, char, room, available):
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others = [a.split(":")[1] for a in available if a.startswith("speak:")]
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goal = char.get("active_goal", "contemplate")
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target_room = self._target_room_for("Kimi", goal)
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if room != target_room:
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return self._move_toward_goal(room, target_room) or "rest"
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others = self._available_targets(available, "speak")
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if goal == "read" and room == "Tower":
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return "study" if char["energy"] > 2 else "rest"
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if room == "Garden" and others and random.random() < 0.3:
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return f"speak:{random.choice(others)}"
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if room == "Tower":
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return "study" if char["energy"] > 2 else "rest"
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return "move:east" # Head back toward Garden
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if room == "Bridge":
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return random.choice(["examine", "rest"])
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return "rest"
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def _gemini_choice(self, char, room, available):
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others = [a.split(":")[1] for a in available if a.startswith("listen:")]
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if room == "Garden" and others and random.random() < 0.4:
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return f"listen:{random.choice(others)}"
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return random.choice(["plant", "rest"] if room == "Garden" else ["move:west"])
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goal = char.get("active_goal", "observe")
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target_room = self._target_room_for("Gemini", goal)
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if room != target_room:
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return self._move_toward_goal(room, target_room) or "rest"
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listeners = self._available_targets(available, "listen")
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if room == "Garden" and listeners and random.random() < 0.4:
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return f"listen:{random.choice(listeners)}"
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return random.choice(["plant", "rest"] if room == "Garden" else ["examine", "rest"])
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def _ezra_choice(self, char, room, available):
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goal = char.get("active_goal", "study")
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target_room = self._target_room_for("Ezra", goal)
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if room != target_room:
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return self._move_toward_goal(room, target_room) or "rest"
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if room == "Tower" and char["energy"] > 2:
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return random.choice(["study", "write_rule", "help:Timmy"])
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if room != "Tower":
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return "move:south"
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return "rest"
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def _claude_choice(self, char, room, available):
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others = [a.split(":")[1] for a in available if a.startswith("confront:")]
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goal = char.get("active_goal", "inspect")
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target_room = self._target_room_for("Claude", goal)
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if room != target_room:
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return self._move_toward_goal(room, target_room) or "rest"
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others = self._available_targets(available, "confront")
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if others and random.random() < 0.2:
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return f"confront:{random.choice(others)}"
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return random.choice(["examine", "rest"])
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def _clawcode_choice(self, char, room, available):
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goal = char.get("active_goal", "test_edge")
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target_room = self._target_room_for("ClawCode", goal)
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if room != target_room:
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return self._move_toward_goal(room, target_room) or "rest"
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if room == "Forge" and char["energy"] > 2:
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return "forge"
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return random.choice(["move:east", "forge", "rest"])
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return random.choice(["examine", "rest"])
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def _allegro_choice(self, char, room, available):
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others = [a.split(":")[1] for a in available if a.startswith("speak:")]
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goal = char.get("active_goal", "oversee")
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target_room = self._target_room_for("Allegro", goal)
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if room != target_room:
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return self._move_toward_goal(room, target_room) or "rest"
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others = self._available_targets(available, "speak")
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if others and random.random() < 0.3:
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return f"speak:{random.choice(others)}"
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return random.choice(["move:north", "move:south", "examine"])
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return random.choice(["examine", "rest"])
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class DialogueSystem:
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@@ -1,245 +0,0 @@
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#!/usr/bin/env python3
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"""Fleet cost report generator.
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Reads Timmy's sovereignty metrics database and estimates paid API spend by
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agent/provider lane. Default output targets the local timmy-config reports
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folder so the cost report can be filed from the sidecar repo.
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"""
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from __future__ import annotations
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import argparse
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import sqlite3
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from datetime import datetime, timedelta
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from pathlib import Path
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from typing import Iterable
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DB_PATH = Path.home() / ".timmy" / "metrics" / "model_metrics.db"
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AGENT_LANES = (
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{
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"agent": "Timmy Cloud Lane",
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"provider": "OpenRouter",
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"patterns": ("openrouter/", "google/", "deepseek/", "x-ai/", "mistral/"),
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"notes": "Cloud fallback and external reasoning routed through OpenRouter-compatible lanes.",
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},
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{
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"agent": "Ezra",
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"provider": "Anthropic",
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"patterns": ("claude-", "anthropic/claude"),
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"notes": "Archivist / long-form reasoning house on Claude-family models.",
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},
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{
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"agent": "Bezalel",
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"provider": "OpenAI",
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"patterns": ("gpt-", "openai/", "codex"),
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"notes": "Forge / implementation house on Codex/OpenAI-backed execution lanes.",
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},
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{
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"agent": "Allegro",
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"provider": "Kimi / Moonshot",
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"patterns": ("kimi", "moonshot"),
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"notes": "Tempo-and-dispatch house on Kimi / Moonshot direct API lanes.",
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},
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)
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def default_report_path(report_date: str | None = None) -> Path:
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if report_date is None:
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report_date = datetime.now().strftime("%Y-%m-%d")
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return Path.home() / "code" / "timmy-config" / "reports" / "production" / f"{report_date}-fleet-cost-report.md"
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def match_lane(model: str) -> dict | None:
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lowered = (model or "").lower()
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for lane in AGENT_LANES:
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if any(pattern in lowered for pattern in lane["patterns"]):
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return lane
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return None
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def load_cost_rows(days: int = 30, db_path: Path = DB_PATH) -> list[tuple[str, int, int, int, float]]:
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if not db_path.exists():
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return []
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cutoff = (datetime.now() - timedelta(days=days)).timestamp()
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with sqlite3.connect(str(db_path)) as conn:
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rows = conn.execute(
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"""
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SELECT model, SUM(sessions), SUM(messages), SUM(tool_calls), SUM(est_cost_usd)
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FROM session_stats
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WHERE timestamp > ? AND is_local = 0
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GROUP BY model
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ORDER BY SUM(est_cost_usd) DESC, model ASC
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""",
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(cutoff,),
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).fetchall()
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return [
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(model, int(sessions or 0), int(messages or 0), int(tool_calls or 0), float(cost or 0.0))
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for model, sessions, messages, tool_calls, cost in rows
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]
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def summarize_rows(rows: Iterable[tuple[str, int, int, int, float]], days: int = 30) -> dict:
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rows = list(rows)
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agents: dict[str, dict] = {}
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providers_seen: set[str] = set()
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inventory = [
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{
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"agent": lane["agent"],
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"provider": lane["provider"],
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"notes": lane["notes"],
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}
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for lane in AGENT_LANES
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]
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for lane in AGENT_LANES:
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agents[lane["agent"]] = {
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"provider": lane["provider"],
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"models": [],
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"sessions": 0,
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"messages": 0,
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"tool_calls": 0,
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"monthly_cost_usd": 0.0,
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"daily_cost_usd": 0.0,
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"notes": lane["notes"],
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}
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unassigned = {
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"provider": "Unassigned",
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"models": [],
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"sessions": 0,
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"messages": 0,
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"tool_calls": 0,
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"monthly_cost_usd": 0.0,
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"daily_cost_usd": 0.0,
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"notes": "Observed paid-model spend not yet mapped to a named wizard house.",
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}
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for model, sessions, messages, tool_calls, monthly_cost in rows:
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lane = match_lane(model)
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if lane is None:
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bucket = unassigned
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else:
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bucket = agents[lane["agent"]]
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providers_seen.add(lane["provider"])
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bucket["models"].append(
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{
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"model": model,
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"sessions": sessions,
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"messages": messages,
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"tool_calls": tool_calls,
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"monthly_cost_usd": round(monthly_cost, 4),
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}
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)
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bucket["sessions"] += sessions
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bucket["messages"] += messages
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bucket["tool_calls"] += tool_calls
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bucket["monthly_cost_usd"] += monthly_cost
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for bucket in list(agents.values()) + [unassigned]:
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bucket["monthly_cost_usd"] = round(bucket["monthly_cost_usd"], 4)
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bucket["daily_cost_usd"] = round(bucket["monthly_cost_usd"] / max(days, 1), 4)
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if unassigned["models"]:
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agents["Unassigned"] = unassigned
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providers_seen.add("Unassigned")
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total_monthly = round(sum(item["monthly_cost_usd"] for item in agents.values()), 4)
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total_daily = round(sum(item["daily_cost_usd"] for item in agents.values()), 4)
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provider_order = sorted(providers_seen)
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if "Unassigned" in provider_order:
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provider_order = [p for p in provider_order if p != "Unassigned"] + ["Unassigned"]
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return {
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"days": days,
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"providers": provider_order,
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"inventory": inventory,
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"agents": agents,
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"total_monthly_cost_usd": total_monthly,
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"total_daily_cost_usd": total_daily,
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}
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def render_markdown(summary: dict, report_date: str | None = None) -> str:
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if report_date is None:
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report_date = datetime.now().strftime("%Y-%m-%d")
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lines = [
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f"# Fleet Cost Report — {report_date}",
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"",
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f"Window: last {summary['days']} days of paid-model session stats from `~/.timmy/metrics/model_metrics.db`.",
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"",
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"## Paid API inventory",
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"",
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"| Agent | Provider | Notes |",
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"| --- | --- | --- |",
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]
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for item in summary["inventory"]:
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lines.append(f"| {item['agent']} | {item['provider']} | {item['notes']} |")
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lines.extend(
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[
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"",
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"## Estimated cost per agent per day",
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"",
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"| Agent | Provider | Daily cost | Monthly estimate | Sessions | Messages | Tool calls |",
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"| --- | --- | ---: | ---: | ---: | ---: | ---: |",
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]
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)
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for agent, data in summary["agents"].items():
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lines.append(
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f"| {agent} | {data['provider']} | ${data['daily_cost_usd']:.2f} | ${data['monthly_cost_usd']:.2f} | {data['sessions']} | {data['messages']} | {data['tool_calls']} |"
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)
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lines.extend(
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[
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"",
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f"Total estimated daily paid spend: ${summary['total_daily_cost_usd']:.2f}",
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f"Total estimated monthly paid spend: ${summary['total_monthly_cost_usd']:.2f}",
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"",
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"## Model evidence",
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"",
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]
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)
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for agent, data in summary["agents"].items():
|
||||
lines.append(f"### {agent}")
|
||||
if not data["models"]:
|
||||
lines.append("- No paid-model sessions observed in the selected window.")
|
||||
else:
|
||||
for model in data["models"]:
|
||||
lines.append(
|
||||
f"- `{model['model']}` — {model['sessions']} sessions / {model['messages']} messages / {model['tool_calls']} tool calls / ${model['monthly_cost_usd']:.2f} est."
|
||||
)
|
||||
lines.append("")
|
||||
|
||||
lines.append("Generated by `python3 scripts/fleet_cost_report.py --days 30`. Default output path targets the local timmy-config report lane.")
|
||||
lines.append("")
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def write_report(output_path: Path, summary: dict, report_date: str | None = None) -> Path:
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
output_path.write_text(render_markdown(summary, report_date=report_date), encoding="utf-8")
|
||||
return output_path
|
||||
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser(description="Estimate paid API spend per fleet agent")
|
||||
parser.add_argument("--days", type=int, default=30, help="Lookback window in days")
|
||||
parser.add_argument("--db-path", default=str(DB_PATH), help="Path to model_metrics.db")
|
||||
parser.add_argument("--output", help="Optional markdown output path")
|
||||
parser.add_argument("--date", help="Override report date (YYYY-MM-DD)")
|
||||
args = parser.parse_args()
|
||||
|
||||
rows = load_cost_rows(days=args.days, db_path=Path(args.db_path).expanduser())
|
||||
summary = summarize_rows(rows, days=args.days)
|
||||
report_date = args.date or datetime.now().strftime("%Y-%m-%d")
|
||||
output_path = Path(args.output).expanduser() if args.output else default_report_path(report_date)
|
||||
write_report(output_path, summary, report_date=report_date)
|
||||
print(output_path)
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,77 +0,0 @@
|
||||
from importlib.util import module_from_spec, spec_from_file_location
|
||||
from pathlib import Path
|
||||
import tempfile
|
||||
import unittest
|
||||
|
||||
|
||||
ROOT = Path(__file__).resolve().parent.parent
|
||||
SCRIPT_PATH = ROOT / "scripts" / "fleet_cost_report.py"
|
||||
|
||||
|
||||
def load_module():
|
||||
spec = spec_from_file_location("fleet_cost_report", SCRIPT_PATH)
|
||||
module = module_from_spec(spec)
|
||||
assert spec.loader is not None
|
||||
spec.loader.exec_module(module)
|
||||
return module
|
||||
|
||||
|
||||
class TestFleetCostReport(unittest.TestCase):
|
||||
def test_default_output_targets_timmy_config_report_path(self):
|
||||
module = load_module()
|
||||
output_path = module.default_report_path("2026-04-22")
|
||||
self.assertIn("timmy-config", str(output_path))
|
||||
self.assertTrue(str(output_path).endswith("2026-04-22-fleet-cost-report.md"))
|
||||
|
||||
def test_summary_groups_paid_costs_by_agent_and_provider(self):
|
||||
module = load_module()
|
||||
rows = [
|
||||
("claude-sonnet-4-6", 12, 120, 24, 6.0),
|
||||
("gpt-5.4", 6, 60, 12, 3.0),
|
||||
("openrouter/google/gemini-2.5-pro", 4, 40, 8, 2.0),
|
||||
("kimi-k2", 2, 20, 4, 1.0),
|
||||
]
|
||||
summary = module.summarize_rows(rows, days=30)
|
||||
|
||||
self.assertEqual(summary["providers"], ["Anthropic", "Kimi / Moonshot", "OpenAI", "OpenRouter"])
|
||||
self.assertAlmostEqual(summary["agents"]["Ezra"]["monthly_cost_usd"], 6.0)
|
||||
self.assertAlmostEqual(summary["agents"]["Bezalel"]["monthly_cost_usd"], 3.0)
|
||||
self.assertAlmostEqual(summary["agents"]["Timmy Cloud Lane"]["monthly_cost_usd"], 2.0)
|
||||
self.assertAlmostEqual(summary["agents"]["Allegro"]["monthly_cost_usd"], 1.0)
|
||||
self.assertAlmostEqual(summary["agents"]["Ezra"]["daily_cost_usd"], 0.2)
|
||||
|
||||
def test_report_render_mentions_inventory_and_agent_costs(self):
|
||||
module = load_module()
|
||||
rows = [
|
||||
("claude-sonnet-4-6", 12, 120, 24, 6.0),
|
||||
("gpt-5.4", 6, 60, 12, 3.0),
|
||||
("openrouter/google/gemini-2.5-pro", 4, 40, 8, 2.0),
|
||||
]
|
||||
summary = module.summarize_rows(rows, days=30)
|
||||
report = module.render_markdown(summary, report_date="2026-04-22")
|
||||
|
||||
self.assertIn("# Fleet Cost Report — 2026-04-22", report)
|
||||
self.assertIn("## Paid API inventory", report)
|
||||
self.assertIn("Anthropic", report)
|
||||
self.assertIn("OpenRouter", report)
|
||||
self.assertIn("OpenAI", report)
|
||||
self.assertIn("## Estimated cost per agent per day", report)
|
||||
self.assertIn("Timmy Cloud Lane", report)
|
||||
self.assertIn("Ezra", report)
|
||||
self.assertIn("Bezalel", report)
|
||||
|
||||
def test_write_report_creates_markdown_file(self):
|
||||
module = load_module()
|
||||
rows = [("claude-sonnet-4-6", 1, 10, 2, 0.5)]
|
||||
summary = module.summarize_rows(rows, days=30)
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
dest = Path(tmpdir) / "fleet-cost.md"
|
||||
module.write_report(dest, summary, report_date="2026-04-22")
|
||||
self.assertTrue(dest.exists())
|
||||
text = dest.read_text()
|
||||
self.assertIn("Fleet Cost Report", text)
|
||||
self.assertIn("Ezra", text)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
54
tests/test_tower_game_npc_purpose.py
Normal file
54
tests/test_tower_game_npc_purpose.py
Normal file
@@ -0,0 +1,54 @@
|
||||
from importlib.util import module_from_spec, spec_from_file_location
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
ROOT = Path(__file__).resolve().parent.parent
|
||||
GAME_PATH = ROOT / "evennia" / "timmy_world" / "world" / "game.py"
|
||||
|
||||
|
||||
def load_game_module():
|
||||
spec = spec_from_file_location("tower_world_game", GAME_PATH)
|
||||
module = module_from_spec(spec)
|
||||
assert spec.loader is not None
|
||||
spec.loader.exec_module(module)
|
||||
module.random.seed(0)
|
||||
return module
|
||||
|
||||
|
||||
def _visitor_sets_after_ticks(module, ticks=100):
|
||||
engine = module.GameEngine()
|
||||
engine.start_new_game()
|
||||
visitors = {room: set() for room in engine.world.rooms}
|
||||
for _ in range(ticks):
|
||||
engine.run_tick("rest")
|
||||
for name, char in engine.world.characters.items():
|
||||
if name == "Timmy":
|
||||
continue
|
||||
visitors[char["room"]].add(name)
|
||||
return visitors
|
||||
|
||||
|
||||
class TestTowerGameNpcPurpose:
|
||||
def test_goal_driven_room_targets(self):
|
||||
module = load_game_module()
|
||||
world = module.World()
|
||||
npc_ai = module.NPCAI(world)
|
||||
|
||||
world.characters["Marcus"]["room"] = "Threshold"
|
||||
world.characters["Marcus"]["active_goal"] = "sit"
|
||||
assert npc_ai.make_choice("Marcus") == "move:east"
|
||||
|
||||
world.characters["Ezra"]["room"] = "Threshold"
|
||||
world.characters["Ezra"]["active_goal"] = "study"
|
||||
assert npc_ai.make_choice("Ezra") == "move:north"
|
||||
|
||||
world.characters["Claude"]["room"] = "Threshold"
|
||||
world.characters["Claude"]["active_goal"] = "enforce_order"
|
||||
assert npc_ai.make_choice("Claude") == "move:south"
|
||||
|
||||
def test_every_room_gets_multiple_npc_visitors_over_100_ticks(self):
|
||||
module = load_game_module()
|
||||
visitors = _visitor_sets_after_ticks(module, ticks=100)
|
||||
|
||||
assert all(len(names) >= 2 for names in visitors.values()), visitors
|
||||
assert len(visitors["Bridge"]) >= 3, visitors["Bridge"]
|
||||
Reference in New Issue
Block a user