更新版本V0.0.71

Author: weilin9999

README.md

@@ -30,16 +30,22 @@
 
 # 版本更新介绍
 
-> 最新更新：2025-12-19
+> 最新更新：2025-12-20
 
-> 0.0.70 公测版本介绍 如果你要使用本插件请务必进我们的官方 QQ 群（1018231382）！
+> 0.0.71 公测版本介绍 如果你要使用本插件请务必进我们的官方 QQ 群（1018231382）！
 >
 > 1. API翻译模式回归，现在翻译接口重写目前只支持 阿里巴巴翻译接口、Bing翻译接口、有道翻译接口（该接口有请求限制不建议使用），目前这三个接口都是免费，后续会写付费的翻译接口对接
 >
+> 2. 修改了硅基AI和OpenAI翻译的问题，回归成原有的模式
+>
 
 <details>
 <summary>点击查看往期更多更新内容</summary>
 
+> 0.0.70 公测版本介绍 2025-12-19
+>
+> 1. API翻译模式回归，现在翻译接口重写目前只支持 阿里巴巴翻译接口、Bing翻译接口、有道翻译接口（该接口有请求限制不建议使用），目前这三个接口都是免费，后续会写付费的翻译接口对接
+>
 
 > 0.0.69 公测版本介绍 2025-12-06
 >

README_EN.md

@@ -24,16 +24,23 @@ Due to limited personal time, the frequency of updating plug-ins will not be ver
 
 # Version update introduction
 
-> Last updated: 2025-12-18
+> Last updated: 2025-12-20
 
-> 0.0.70 Public Beta Version Introduction: If you want to use this plugin, please be sure to join our official QQ group (1018231382)! 
+> 0.0.71 Public Beta Version Introduction: If you want to use this plugin, please be sure to join our official QQ group (1018231382)! 
 >
 > 1. The API translation mode has returned. Currently, the translation interface has been rewritten and only supports Alibaba Translation Interface, Bing Translation interface, and Youdao Translation interface (this interface has request restrictions and is not recommended for use). At present, all three interfaces are free, and we will write paid translation interfaces for integration in the future
 >
+> 2. The issues with silicon-based AI and OpenAI translation have been modified, and the original model has been restored
+>
 
 <details>
 <summary>Click here for more updates from the past</summary>
 
+> 0.0.70 Public Beta Version 2025-12-19
+>
+> 1. The API translation mode has returned. Currently, the translation interface has been rewritten and only supports Alibaba Translation Interface, Bing Translation interface, and Youdao Translation interface (this interface has request restrictions and is not recommended for use). At present, all three interfaces are free, and we will write paid translation interfaces for integration in the future
+>
+
 > 0.0.69 Public Beta Version 2025-12-06
 >
 > 1. Merger PR [#50](https://github.com/weilin9999/WeiLin-Comfyui-Tools/pull/50) thank you for your friend's help

app/server/ai_server/siliconflow.py

@@ -17,7 +17,7 @@ def _lang_to_name(code: str) -> str:
 
 
 # 硅基AI翻译接口
-async def translateObject(objectData: str, target_lang_code: str = "zh") -> str:
+async def translateObject(text: str, target_lang_code: str = "zh") -> str:
     ai_info_setting = get_ai_info_setting()
     api_key = ai_info_setting.get("api_key", "")
     base_url = ai_info_setting.get(
@@ -28,18 +28,14 @@ async def translateObject(objectData: str, target_lang_code: str = "zh") -> str:
 
     url = f"{base_url}/chat/completions"
 
+
+    target_lang_name = _lang_to_name(target_lang_code)
+    prompt = f"将以下AI绘画提示词翻译成{target_lang_name}，只输出翻译结果：{text}"
+   
     payload = {
         "model": model,
-        "messages": [
-            {
-                "role": "system",
-                "content": f"ying You are a data translation processing expert, translate the text field of the JSON string data passed by the user into {_lang_to_name(target_lang_code)} (excluding numbers and other special characters, only translate the text) and fill in the corresponding translate field. You only need to return the corresponding JSON string data and do not modify any other data or parameters"
-            },
-            {
-                "content": objectData,
-                "role": "user"
-            }
-        ],
+        "messages": [{"role": "user", "content": prompt}],
+        "temperature": 0,
         "stream": False,
         "max_tokens": 4096,
         "enable_thinking": False,
@@ -51,15 +47,42 @@ async def translateObject(objectData: str, target_lang_code: str = "zh") -> str:
         "top_k": 50,
         "frequency_penalty": 0.5,
         "n": 1,
-        "response_format": {"type": "json_object"},
+        "response_format": {"type": "text"},
         "tools": []
     }
+
+    # payload = {
+    #     "model": model,
+    #     "messages": [
+    #         {
+    #             "role": "system",
+    #             "content": f"ying You are a data translation processing expert, translate the text field of the JSON string data passed by the user into {_lang_to_name(target_lang_code)} (excluding numbers and other special characters, only translate the text) and fill in the corresponding translate field. You only need to return the corresponding JSON string data and do not modify any other data or parameters"
+    #         },
+    #         {
+    #             "content": objectData,
+    #             "role": "user"
+    #         }
+    #     ],
+    #     "stream": False,
+    #     "max_tokens": 4096,
+    #     "enable_thinking": False,
+    #     "thinking_budget": 4096,
+    #     "min_p": 0.05,
+    #     "stop": None,
+    #     "temperature": 0,
+    #     "top_p": 0.7,
+    #     "top_k": 50,
+    #     "frequency_penalty": 0.5,
+    #     "n": 1,
+    #     "response_format": {"type": "json_object"},
+    #     "tools": []
+    # }
     headers = {
         "Authorization": f"Bearer {api_key}",
         "Content-Type": "application/json"
     }
 
-    response = requests.post(url, json=payload, headers=headers)
+    response = requests.post(url, json=payload, headers=headers,timeout=(5,10))
     dataResponse = response.json()
     if response.status_code != 200:
         raise RuntimeError(

app/server/prompt_server.py

@@ -810,11 +810,13 @@ async def _tanslater_text(request):
         strObjectData = data['str_object']
         if current_setting == "openai":
             # OpenAI 只需要目标语种来写 prompt
-            result = await openai_translate(strObjectData, data_setting['translate_target_lang'])
+            # result = await openai_translate(strObjectData, data_setting['translate_target_lang'])
+            result = await openai_translate(text, data_setting['translate_target_lang'])
         elif current_setting == "other_ai_plate":
             aiInfoData = get_ai_info_setting()
             if aiInfoData.get("base_url") == "https://api.siliconflow.cn/v1":
-                result = await translateObject(strObjectData, data_setting['translate_target_lang'])
+                # result = await translateObject(strObjectData, data_setting['translate_target_lang'])
+                result = await translateObject(text, data_setting['translate_target_lang'])
         else:
             # 仍然走 translators（含 'translater' 与历史的 'network'）
             result = api_service_translate(
@@ -839,11 +841,13 @@ async def _tanslater_input_text(request):
         strObjectData = data['str_object']
         if current_setting == "openai":
             # 反向时把“源语种代码”当成目标，复用同一 prompt 模板
-            result = await openai_translate(strObjectData, data_setting['translate_source_lang'])
+            # result = await openai_translate(strObjectData, data_setting['translate_source_lang'])
+            result = await openai_translate(text, data_setting['translate_source_lang'])
         elif current_setting == "other_ai_plate":
             aiInfoData = get_ai_info_setting()
             if aiInfoData.get("base_url") == "https://api.siliconflow.cn/v1":
-                result = await translateObject(strObjectData, data_setting['translate_source_lang'])
+                # result = await translateObject(strObjectData, data_setting['translate_source_lang'])
+                result = await translateObject(text, data_setting['translate_source_lang'])
         else:
             result = api_service_translate(
                 text,

app/server/translate/openai_translate.py

@@ -30,19 +30,30 @@ async def openai_translate(text: str, target_lang_code: str) -> str:
         "Authorization": f"Bearer {api_key}",
         "Content-Type": "application/json"
     }
+
+    
+    target_lang_name = _lang_to_name(target_lang_code)
+    prompt = f"将以下AI绘画提示词翻译成{target_lang_name}，只输出翻译结果：{text}"
+   
     payload = {
         "model": model,
-        "messages": [
-            {
-                "role": "system",
-                "content": f"Translate 'text' field to {_lang_to_name(target_lang_code)} in JSON. If word has NSFW meaning, prioritize NSFW interpretation. Return in JSON with no changes."
-            },
-            {"role": "user", "content": text}
-        ],
-        "response_format": {"type": "json_object"},
+        "messages": [{"role": "user", "content": prompt}],
         "temperature": 0
     }
 
+    # payload = {
+    #     "model": model,
+    #     "messages": [
+    #         {
+    #             "role": "system",
+    #             "content": f"Translate 'text' field to {_lang_to_name(target_lang_code)} in JSON. If word has NSFW meaning, prioritize NSFW interpretation. Return in JSON with no changes."
+    #         },
+    #         {"role": "user", "content": text}
+    #     ],
+    #     "response_format": {"type": "json_object"},
+    #     "temperature": 0
+    # }
+
     # 配置会话以使用系统环境变量中的代理设置
     async with aiohttp.ClientSession(trust_env=True) as session:
         async with session.post(url, headers=headers, json=payload, timeout=60) as resp:

dist/javascript/main.entry.js

@@ -1,7 +1,7 @@
 [project]
 name = "weilin-comfyui-tools"
 description = "让你在 ComfyUI 中快捷的使用提示词工具 Quickly use the prompt word tool in ComfyUI"
-version = "0.0.70"
+version = "0.0.71"
 license = {file = "LICENSE"}
 dependencies = []
 

dist/javascript/main.entry.js.map

@@ -1 +1 @@
-export const version = "v0.0.70";
+export const version = "v0.0.71";