fix: 模型降级目前只对硅基流动的V3和R1生效
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@@ -184,9 +184,9 @@ class LLM_request:
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elif response.status in policy["abort_codes"]:
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elif response.status in policy["abort_codes"]:
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logger.error(f"错误码: {response.status} - {error_code_mapping.get(response.status)}")
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logger.error(f"错误码: {response.status} - {error_code_mapping.get(response.status)}")
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if response.status == 403:
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if response.status == 403:
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# 尝试降级Pro模型
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#只针对硅基流动的V3和R1进行降级处理
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if self.model_name.startswith(
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if self.model_name.startswith(
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"Pro/") and self.base_url == "https://api.siliconflow.cn/v1/":
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"Pro/deepseek-ai") and self.base_url == "https://api.siliconflow.cn/v1/":
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old_model_name = self.model_name
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old_model_name = self.model_name
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self.model_name = self.model_name[4:] # 移除"Pro/"前缀
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self.model_name = self.model_name[4:] # 移除"Pro/"前缀
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logger.warning(f"检测到403错误,模型从 {old_model_name} 降级为 {self.model_name}")
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logger.warning(f"检测到403错误,模型从 {old_model_name} 降级为 {self.model_name}")
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@@ -195,7 +195,12 @@ class LLM_request:
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if hasattr(global_config, 'llm_normal') and global_config.llm_normal.get(
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if hasattr(global_config, 'llm_normal') and global_config.llm_normal.get(
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'name') == old_model_name:
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'name') == old_model_name:
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global_config.llm_normal['name'] = self.model_name
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global_config.llm_normal['name'] = self.model_name
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logger.warning("已将全局配置中的 llm_normal 模型降级")
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logger.warning(f"将全局配置中的 llm_normal 模型临时降级至{self.model_name}")
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if hasattr(global_config, 'llm_reasoning') and global_config.llm_reasoning.get(
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'name') == old_model_name:
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global_config.llm_reasoning['name'] = self.model_name
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logger.warning(f"将全局配置中的 llm_reasoning 模型临时降级至{self.model_name}")
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# 更新payload中的模型名
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# 更新payload中的模型名
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if payload and 'model' in payload:
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if payload and 'model' in payload:
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