AI 平衡测试工具：利用 LLM 进行自动化数值验收

{
  "turn": 15,
  "player": { "hp": 20, "build": "FireMage", "dps": 450 },
  "enemies": [
    { "name": "GoblinElite", "status": "Burning", "hp_percent": 0.1 }
  ],
  "events": [
    "Player cast Fireball, dealt 120 dmg",
    "GoblinElite hit Player, dealt 5 dmg"
  ]
}

import openai

def analyze_combat_log(log_json, persona="Timmy"):
    prompts = {
        "Timmy": "You are a casual gamer...",
        "Spike": "You are a competitive gamer..."
    }
    
    response = openai.ChatCompletion.create(
        model="gpt-4o",
        messages=[
            {"role": "system", "content": prompts[persona]},
            {"role": "user", "content": f"Analyze this log: {log_json}"}
        ]
    )
    return response.choices[0].message.content

## 批量运行
for i in range(10):
    log = run_headless_game_simulation() # 运行一局游戏仿真
    feedback = analyze_combat_log(log)
    print(f"Round {i} Feedback: {feedback}")