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feat(模型管理): 支持阿里云百炼大模型 #1642
feat(模型管理): 支持阿里云百炼大模型 #1642
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api_key = forms.PasswordInputField('API Key', required=True) | ||
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def get_model_params_setting_form(self, model_name): | ||
return BaiLianLLMModelParams() |
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此部分代码没有观察到明显的语法错误或格式上的问题,但需要注意的是,在处理敏感信息(如API密码)时需要进行安全性的考虑,并且在实际开发过程中应确保这些设置不会被意外修改。
此外,在代码中使用了多种类型的参数列表和方法名称来表示数据输入,尽管如此也没有发现具体的异常情况或潜在的问题,但从维护性和易读性角度来看,可以进一步提高函数间的命名一致性和逻辑表达力。例如:
def check_temperature(self, temperature_value: float) -> bool:
# 假设这是对温度取值后的操作检查
get_model_params_setting_form
应该有更恰当的方法名,以反映其职责。
总的来说,这段实现大致是有效的,但在某些方面可以进行改进。
openai_api_base=model_credential.get('api_base'), | ||
openai_api_key=model_credential.get('api_key'), | ||
**optional_params | ||
) |
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此段代码是 Python 代码片段,主要是来自 Baidu Lingyu 平台 (百度翻译) 的模型类。代码中的 maxkb
导入了内部的实现逻辑和函数,比如是否是缓存模式等,以及一些静态方法用于创建实例和处理输入参数选项。
这段代码没有显著问题,但是有一些可以考虑的设计方面:
优化建议:
- 添加类型注释。这将帮助其他开发者理解类的方法或字段的确切用途。
- 尽量避免使用全局变量(尤其是这种跨文件使用的全局状态),这可能增加编码难度并引入错误暴露在不同的代码块之间。可选择将其存储在一个特定的地方,并通过局部命名空间提供访问方式。
- 确保所有的导入语句都可以被Python解析器正确识别,并且遵循标准的语法格式。例如,在某些情况下,
typing.List
或typing.Dict
可能会被误解为列表或者字典。
关键点总结:
- 不需要进行大范围修改
- 完全符合规范的python语言设计,无明显缺陷
如果您有更具体的需求,请随时告诉我!我可以为您进一步评估和提供建议。
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model_info_manage = ModelInfoManage.builder().append_model_info_list(model_info_list).append_default_model_info( | ||
model_info_list[1]).append_default_model_info(model_info_list[2]).append_default_model_info( | ||
model_info_list[3]).build() | ||
model_info_list[3]).append_default_model_info(model_info_list[4]).build() | ||
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class AliyunBaiLianModelProvider(IModelProvider): |
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代码中的问题和修改意见如下:
- 在
bilibili_model.py
的顶部应该添加import logging
和from typing import Optional
- 模型列表在导入时应放在前面,以便正确导入各个类。
关于优化建议:
- 可考虑使用元组或集合(例如 tuple 或 set)来存储模型信息,以便进行更高效的插入操作。
- 将不必要的模块导入到全局变量中可能没有意义,可以避免这些问题。如只需导入
model.info_provider
中定义的必要对象。 - 如果需要从一个模型获取其默认参数,可以直接通过字典的形式返回这些值。
请根据实际需求对以上建议做出相应调整以满足项目的需求。
feat(模型管理): 支持阿里云百炼大模型