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添加API密钥管理功能，包括获取、更新和验证API密钥的接口，增强了对Mathpix和其他API的支持；优化了设置面板的用户体验，改进了API密钥的状态显示和编辑功能，确保用户能够方便地管理和验证API密钥。

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Zylan
2025-04-02 21:56:38 +08:00
parent cebfaba26c
commit a46b8ac229
10 changed files with 2516 additions and 476 deletions
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31
models/alibaba.py
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@@ -5,7 +5,9 @@ from .base import BaseModel
class AlibabaModel(BaseModel):
def __init__(self, api_key: str, temperature: float = 0.7, system_prompt: str = None, language: str = None, model_name: str = None):
self.model_name = model_name or "QVQ-Max-2025-03-25" # 默认使用QVQ-Max模型
# 如果没有提供模型名称，才使用默认值
self.model_name = model_name if model_name else "QVQ-Max-2025-03-25"
print(f"初始化阿里巴巴模型: {self.model_name}")
# 在super().__init__之前设置model_name，这样get_default_system_prompt能使用它
super().__init__(api_key, temperature, system_prompt, language)
@@ -36,22 +38,35 @@ class AlibabaModel(BaseModel):
"qwen-vl-max-latest": "qwen-vl-max", # 修正为正确的API标识符
}
print(f"模型名称: {self.model_name}")
# 从模型映射表中获取模型标识符，如果不存在则使用默认值
model_id = model_mapping.get(self.model_name)
if model_id:
print(f"从映射表中获取到模型标识符: {model_id}")
return model_id
# 如果没有精确匹配，检查是否包含特定前缀
if self.model_name and "qwen-vl" in self.model_name:
if "max" in self.model_name:
if self.model_name and "qwen-vl" in self.model_name.lower():
if "max" in self.model_name.lower():
print(f"识别为qwen-vl-max模型")
return "qwen-vl-max"
elif "plus" in self.model_name:
elif "plus" in self.model_name.lower():
print(f"识别为qwen-vl-plus模型")
return "qwen-vl-plus"
elif "lite" in self.model_name:
elif "lite" in self.model_name.lower():
print(f"识别为qwen-vl-lite模型")
return "qwen-vl-lite"
print(f"默认使用qwen-vl-max模型")
return "qwen-vl-max" # 默认使用最强版本
# 如果包含QVQ或alibaba关键词，默认使用qvq-max
if self.model_name and ("qvq" in self.model_name.lower() or "alibaba" in self.model_name.lower()):
print(f"识别为QVQ模型，使用qvq-max")
return "qvq-max"
# 最后的默认值
print(f"警告：无法识别的模型名称 {self.model_name}，默认使用qvq-max")
return "qvq-max"
def analyze_text(self, text: str, proxies: dict = None) -> Generator[dict, None, None]:
@@ -107,7 +122,8 @@ class AlibabaModel(BaseModel):
is_answering = False
# 检查是否为通义千问VL模型（不支持reasoning_content）
is_qwen_vl = "qwen-vl" in self.get_model_identifier()
is_qwen_vl = "qwen-vl" in self.get_model_identifier().lower()
print(f"分析文本使用模型标识符: {self.get_model_identifier()}, 是否为千问VL模型: {is_qwen_vl}")
for chunk in response:
if not chunk.choices:
@@ -237,7 +253,8 @@ class AlibabaModel(BaseModel):
is_answering = False
# 检查是否为通义千问VL模型（不支持reasoning_content）
is_qwen_vl = "qwen-vl" in self.get_model_identifier()
is_qwen_vl = "qwen-vl" in self.get_model_identifier().lower()
print(f"分析图像使用模型标识符: {self.get_model_identifier()}, 是否为千问VL模型: {is_qwen_vl}")
for chunk in response:
if not chunk.choices: