359 lines
11 KiB
Markdown
359 lines
11 KiB
Markdown
# 防止推理模型独白泄露解决方案
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## 🎯 问题分析
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### 推理模型的"搞笑"表现
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```
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用户问题: "今天股市如何？"
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推理模型回答:
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"让我想想...首先我需要分析当前的市场情况...
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嗯，从技术面来看...不对，我应该先看基本面...
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等等，用户问的是今天，我需要看今日数据...
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好的，我的分析是：今天股市表现良好。"
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正常回答应该是:
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"今天股市表现良好，主要受益于..."
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```
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## 🔍 模型分类与选择策略
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### 1. 推理模型识别
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```python
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# 已知的推理模型列表
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REASONING_MODELS = {
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"openai": [
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"o1-preview", "o1-mini", "o1-pro"
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],
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"anthropic": [
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"claude-3-opus-reasoning", "claude-3-sonnet-reasoning"
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],
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"google": [
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"gemini-2.0-flash-thinking"
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],
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"alibaba": [
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"qwen2.5-math-instruct", "qwen-reasoning"
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],
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"deepseek": [
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"deepseek-r1", "deepseek-reasoning"
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]
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}
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# 非推理模型（安全选择）
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NON_REASONING_MODELS = {
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"openai": ["gpt-4o-mini", "gpt-4o", "gpt-3.5-turbo"],
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"anthropic": ["claude-3.5-sonnet", "claude-3-haiku"],
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"google": ["gemini-1.5-flash", "gemini-1.5-pro"],
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"mistral": ["mistral-7b-instruct", "mixtral-8x7b-instruct"],
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"meta": ["llama-3.1-8b-instruct", "llama-3.1-70b-instruct"]
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}
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```
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### 2. 八仙模型重新配置（避免推理模型）
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```yaml
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# 修正后的八仙配置
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baxian_models_corrected:
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乾一_吕洞宾:
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model: "mistralai/mistral-7b-instruct:free" # 非推理模型 ✅
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reasoning_type: "non-reasoning"
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兑二_何仙姑:
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model: "google/gemini-1.5-flash:free" # 非推理模型 ✅
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reasoning_type: "non-reasoning"
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离三_铁拐李:
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model: "microsoft/phi-3.5-mini-instruct:free" # 非推理模型 ✅
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reasoning_type: "non-reasoning"
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震四_汉钟离:
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model: "meta-llama/llama-3.1-8b-instruct:free" # 非推理模型 ✅
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reasoning_type: "non-reasoning"
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巽五_蓝采和:
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model: "moonshot-v1-8k:free" # 非推理模型 ✅
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reasoning_type: "non-reasoning"
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坎六_张果老:
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model: "alibaba/qwen-2.5-7b-instruct:free" # 避免推理版本 ✅
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reasoning_type: "non-reasoning"
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艮七_韩湘子:
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model: "deepseek-chat:free" # 非推理版本 ✅
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reasoning_type: "non-reasoning"
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坤八_曹国舅:
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model: "zhipuai/glm-4-9b-chat:free" # 非推理模型 ✅
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reasoning_type: "non-reasoning"
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```
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## 🛡️ 防独白泄露技术方案
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### 方案1: Prompt工程防护
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```python
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class AntiMonologuePrompt:
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"""防独白泄露的Prompt设计"""
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@staticmethod
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def create_clean_prompt(role, character, topic):
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return f"""你是{role}，{character}。
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【重要规则】
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1. 直接给出你的观点，不要展示思考过程
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2. 不要说"让我想想"、"首先"、"然后"等思考词汇
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3. 不要暴露你的分析步骤
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4. 直接表达结论和建议
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5. 保持角色特色，简洁有力
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【话题】{topic}
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【你的发言】（直接开始，不超过100字）："""
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# 示例对比
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bad_prompt = "请分析一下今天的股市情况"
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good_prompt = """你是吕洞宾，剑仙，理性分析师。
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【重要规则】
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1. 直接给出观点，不展示思考过程
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2. 不说"让我分析"、"首先"等词
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3. 直接表达结论
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4. 保持剑仙风格，简洁犀利
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【话题】今天股市情况
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【你的发言】（直接开始，不超过100字）："""
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```
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### 方案2: 输出过滤系统
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```python
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class OutputFilter:
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"""输出内容过滤器"""
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def __init__(self):
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# 需要过滤的思考词汇
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self.thinking_patterns = [
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r"让我想想.*?",
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r"首先.*?然后.*?",
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r"我需要分析.*?",
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r"让我考虑.*?",
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r"从.*?角度来看.*?",
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r"等等.*?",
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r"不对.*?我应该.*?",
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r"嗯.*?",
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r"好的，我的.*?是",
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r"经过思考.*?",
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r"分析如下.*?",
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r"我的思路是.*?"
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]
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# 独白标识词
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self.monologue_indicators = [
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"让我", "我想", "我觉得需要", "我应该",
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"等等", "不对", "重新考虑", "换个角度"
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]
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def filter_monologue(self, text):
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"""过滤独白内容"""
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import re
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# 移除思考过程
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for pattern in self.thinking_patterns:
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text = re.sub(pattern, "", text, flags=re.IGNORECASE)
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# 移除独白句子
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sentences = text.split('。')
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filtered_sentences = []
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for sentence in sentences:
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has_monologue = any(indicator in sentence for indicator in self.monologue_indicators)
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if not has_monologue and sentence.strip():
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filtered_sentences.append(sentence.strip())
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# 重新组合
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result = '。'.join(filtered_sentences)
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if result and not result.endswith('。'):
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result += '。'
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return result
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def clean_output(self, raw_output):
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"""清理输出内容"""
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# 1. 过滤独白
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filtered = self.filter_monologue(raw_output)
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# 2. 移除多余空行
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filtered = re.sub(r'\n\s*\n', '\n', filtered)
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# 3. 确保简洁
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if len(filtered) > 200: # 如果太长，取前200字
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filtered = filtered[:200] + "..."
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return filtered.strip()
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```
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### 方案3: 模型调用包装器
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```python
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class SafeModelCaller:
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"""安全模型调用器"""
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def __init__(self):
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self.output_filter = OutputFilter()
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self.retry_count = 3
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async def safe_call(self, model_name, prompt, max_tokens=150):
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"""安全调用模型，确保无独白泄露"""
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for attempt in range(self.retry_count):
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try:
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# 调用模型
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raw_response = await self.call_model(model_name, prompt, max_tokens)
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# 过滤输出
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clean_response = self.output_filter.clean_output(raw_response)
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# 验证输出质量
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if self.is_valid_response(clean_response):
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return clean_response
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else:
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# 如果输出质量不好，重试
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continue
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except Exception as e:
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if attempt == self.retry_count - 1:
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return f"系统错误，请稍后重试。"
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continue
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return "无法生成有效回应。"
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def is_valid_response(self, response):
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"""验证回应质量"""
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# 检查是否太短
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if len(response.strip()) < 10:
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return False
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# 检查是否还有独白痕迹
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monologue_signs = ["让我", "我想", "首先", "然后"]
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if any(sign in response for sign in monologue_signs):
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return False
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return True
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```
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## 🎭 八仙专用防独白配置
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### 针对性Prompt模板
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```python
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class BaxianAntiMonologue:
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"""八仙防独白专用配置"""
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def __init__(self):
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self.immortal_prompts = {
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"吕洞宾": """你是吕洞宾，剑仙，理性分析师。
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【发言规则】
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- 直接表达观点，如剑出鞘般犀利
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- 不展示分析过程，只给结论
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- 语言简洁有力，不超过100字
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- 保持剑仙风格：理性、犀利、直接
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【话题】{topic}
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【直接发言】：""",
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"何仙姑": """你是何仙姑，唯一女仙，情感洞察师。
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【发言规则】
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- 直接表达直觉判断
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- 不说"我感觉"、"让我想想"
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- 语言优美但简洁，不超过100字
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- 保持女性视角：敏锐、温和、智慧
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【话题】{topic}
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【直接发言】：""",
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# ... 其他六仙类似配置
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}
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def get_clean_prompt(self, immortal, topic):
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"""获取无独白风险的prompt"""
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base_prompt = self.immortal_prompts.get(immortal, "")
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return base_prompt.format(topic=topic)
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```
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## 🔧 实施方案
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### 完整的防独白系统
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```python
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class XiantianBaguaAntiMonologue:
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"""先天八卦防独白辩论系统"""
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def __init__(self):
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self.safe_caller = SafeModelCaller()
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self.baxian_prompts = BaxianAntiMonologue()
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self.model_config = self.load_safe_models()
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def load_safe_models(self):
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"""加载安全的非推理模型"""
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return {
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"吕洞宾": "mistralai/mistral-7b-instruct:free",
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"何仙姑": "google/gemini-1.5-flash:free",
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"铁拐李": "microsoft/phi-3.5-mini-instruct:free",
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"汉钟离": "meta-llama/llama-3.1-8b-instruct:free",
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"蓝采和": "moonshot-v1-8k:free",
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"张果老": "alibaba/qwen-2.5-7b-instruct:free",
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"韩湘子": "deepseek-chat:free",
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"曹国舅": "zhipuai/glm-4-9b-chat:free"
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}
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async def get_immortal_statement(self, immortal, topic):
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"""获取仙人发言（无独白版本）"""
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# 获取安全prompt
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prompt = self.baxian_prompts.get_clean_prompt(immortal, topic)
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# 获取模型
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model = self.model_config[immortal]
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# 安全调用
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statement = await self.safe_caller.safe_call(model, prompt)
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return statement
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async def conduct_clean_debate(self, topic):
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"""进行无独白泄露的辩论"""
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bagua_order = ["吕洞宾", "何仙姑", "铁拐李", "汉钟离",
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"蓝采和", "张果老", "韩湘子", "曹国舅"]
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debate_results = []
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for immortal in bagua_order:
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statement = await self.get_immortal_statement(immortal, topic)
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debate_results.append({
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"immortal": immortal,
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"statement": statement,
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"clean": True # 标记为已清理
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})
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return debate_results
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```
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## 💡 最终建议
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### 推荐策略
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1. **优先使用非推理模型** - 从源头避免问题
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2. **强化Prompt设计** - 明确禁止展示思考过程
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3. **输出后处理** - 过滤可能的独白内容
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4. **质量验证** - 确保输出符合角色特征
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### 模型选择原则
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```
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✅ 选择: 标准对话模型 (gpt-4o-mini, claude-3.5-sonnet, mistral-7b等)
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❌ 避免: 推理模型 (o1系列, reasoning系列等)
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✅ 特征: 直接输出，无思考链暴露
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❌ 特征: 会显示"让我想想..."的模型
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```
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这样配置后，你的八仙就不会再说出搞笑的独白了，每个都会保持专业的角色形象！🎭
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需要我进一步优化某个具体方面吗？
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