ruff 哥又有新点子
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@@ -44,8 +44,8 @@ class LLM_request:
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self.db.db.llm_usage.create_index([("model_name", 1)])
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self.db.db.llm_usage.create_index([("user_id", 1)])
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self.db.db.llm_usage.create_index([("request_type", 1)])
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except Exception as e:
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logger.error(f"创建数据库索引失败")
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except Exception:
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logger.error("创建数据库索引失败")
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def _record_usage(self, prompt_tokens: int, completion_tokens: int, total_tokens: int,
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user_id: str = "system", request_type: str = "chat",
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@@ -80,7 +80,7 @@ class LLM_request:
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f"总计: {total_tokens}"
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)
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except Exception:
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logger.error(f"记录token使用情况失败")
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logger.error("记录token使用情况失败")
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def _calculate_cost(self, prompt_tokens: int, completion_tokens: int) -> float:
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"""计算API调用成本
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@@ -194,7 +194,7 @@ class LLM_request:
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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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global_config.llm_normal['name'] = self.model_name
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logger.warning(f"已将全局配置中的 llm_normal 模型降级")
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logger.warning("已将全局配置中的 llm_normal 模型降级")
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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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@@ -227,7 +227,7 @@ class LLM_request:
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delta_content = ""
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accumulated_content += delta_content
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except Exception:
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logger.exception(f"解析流式输出错")
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logger.exception("解析流式输出错")
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content = accumulated_content
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reasoning_content = ""
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think_match = re.search(r'<think>(.*?)</think>', content, re.DOTALL)
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@@ -355,7 +355,7 @@ class LLM_request:
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"""构建请求头"""
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if no_key:
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return {
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"Authorization": f"Bearer **********",
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"Authorization": "Bearer **********",
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"Content-Type": "application/json"
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}
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else:
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