翻訳バックエンドを拡張・リファクタリング：OpenAI/Plamo/Gemini クライアントを追加・改修し、プロンプトを YAML から読み込むように変更。各クライアントでモデル一覧取得・認証・クライアント更新機能を実装し、Translator/Model 層の対応メソッドを追加。Controller と mainloop にプラモ・ジェミニ・OpenAI の認証/モデル操作エンドポイントを追加・整備。config のモデル/API設定をプロパティ化して既定値を None に変更し、選択肢リストを初期化。translation_languages に OpenAI 用マッピングを追加。requirements ファイルの依存記述を調整。

requirements.txt

@@ -20,6 +20,8 @@ hf-xet==1.1.2
 setuptools==80.8.0
 langchain-openai==0.3.32
 langchain-google-genai==2.1.10
+google-genai==1.45.0
+grpcio==1.67.1
 SudachiPy==0.6.10
 SudachiDict-core==20250825
 SudachiDict-full==20250825

requirements_cuda.txt

@@ -21,6 +21,8 @@ hf-xet==1.1.2
 setuptools==80.8.0
 langchain-openai==0.3.32
 langchain-google-genai==2.1.10
+google-genai==1.45.0
+grpcio==1.67.1
 SudachiPy==0.6.10
 SudachiDict-core==20250825
 SudachiDict-full==20250825

src-python/config.py

@@ -35,16 +35,6 @@ try:
 except Exception:  # pragma: no cover - optional runtime
     whisper_models = {}  # type: ignore
 
-try:
-    from models.translation.translation_gemini import _MODELS as gemini_models
-except Exception:  # pragma: no cover - optional runtime
-    gemini_models = []  # type: ignore
-
-try:
-    from models.translation.translation_plamo import _MODELS as plamo_models
-except Exception:  # pragma: no cover - optional runtime
-    plamo_models = []  # type: ignore
-
 from utils import errorLogging, validateDictStructure, getComputeDeviceList
 
 json_serializable_vars = {}
@@ -173,14 +163,6 @@ class Config:
     def SELECTABLE_TRANSLATION_ENGINE_LIST(self):
         return self._SELECTABLE_TRANSLATION_ENGINE_LIST
 
-    @property
-    def SELECTABLE_PLAMO_MODEL_LIST(self):
-        return self._SELECTABLE_PLAMO_MODEL_LIST
-
-    @property
-    def SELECTABLE_GEMINI_MODEL_LIST(self):
-        return self._SELECTABLE_GEMINI_MODEL_LIST
-
     @property
     def SELECTABLE_TRANSCRIPTION_ENGINE_LIST(self):
         return self._SELECTABLE_TRANSCRIPTION_ENGINE_LIST
@@ -329,6 +311,33 @@ class Config:
         if isinstance(value, dict):
             self._SELECTABLE_TRANSCRIPTION_ENGINE_STATUS = value
 
+    @property
+    def SELECTABLE_PLAMO_MODEL_LIST(self):
+        return self._SELECTABLE_PLAMO_MODEL_LIST
+
+    @SELECTABLE_PLAMO_MODEL_LIST.setter
+    def SELECTABLE_PLAMO_MODEL_LIST(self, value):
+        if isinstance(value, list):
+            self._SELECTABLE_PLAMO_MODEL_LIST = value
+
+    @property
+    def SELECTABLE_GEMINI_MODEL_LIST(self):
+        return self._SELECTABLE_GEMINI_MODEL_LIST
+
+    @SELECTABLE_GEMINI_MODEL_LIST.setter
+    def SELECTABLE_GEMINI_MODEL_LIST(self, value):
+        if isinstance(value, list):
+            self._SELECTABLE_GEMINI_MODEL_LIST = value
+
+    @property
+    def SELECTABLE_OPENAI_MODEL_LIST(self):
+        return self._SELECTABLE_OPENAI_MODEL_LIST
+
+    @SELECTABLE_OPENAI_MODEL_LIST.setter
+    def SELECTABLE_OPENAI_MODEL_LIST(self, value):
+        if isinstance(value, list):
+            self._SELECTABLE_OPENAI_MODEL_LIST = value
+
     # Save Json Data
     ## Main Window
     @property
@@ -936,6 +945,18 @@ class Config:
                 self._GEMINI_MODEL = value
                 self.saveConfig(inspect.currentframe().f_code.co_name, value)
 
+    @property
+    @json_serializable('OPENAI_MODEL')
+    def OPENAI_MODEL(self):
+        return self._OPENAI_MODEL
+
+    @OPENAI_MODEL.setter
+    def OPENAI_MODEL(self, value):
+        if isinstance(value, str):
+            if value in self.SELECTABLE_OPENAI_MODEL_LIST:
+                self._OPENAI_MODEL = value
+                self.saveConfig(inspect.currentframe().f_code.co_name, value)
+
     @property
     @json_serializable('AUTO_CLEAR_MESSAGE_BOX')
     def AUTO_CLEAR_MESSAGE_BOX(self):
@@ -1160,8 +1181,9 @@ class Config:
             self._SELECTABLE_TRANSCRIPTION_ENGINE_LIST = list(transcription_lang[first_key].values())[0].keys()
         except Exception:
             self._SELECTABLE_TRANSCRIPTION_ENGINE_LIST = []
-        self._SELECTABLE_PLAMO_MODEL_LIST = plamo_models
+        self._SELECTABLE_PLAMO_MODEL_LIST = []
-        self._SELECTABLE_GEMINI_MODEL_LIST = gemini_models
+        self._SELECTABLE_GEMINI_MODEL_LIST = []
+        self._SELECTABLE_OPENAI_MODEL_LIST = []
         self._SELECTABLE_UI_LANGUAGE_LIST = ["en", "ja", "ko", "zh-Hant", "zh-Hans"]
         self._COMPUTE_MODE = "cuda" if torch.cuda.is_available() else "cpu"
         self._SELECTABLE_COMPUTE_DEVICE_LIST = getComputeDeviceList()
@@ -1313,13 +1335,15 @@ class Config:
             "DeepL_API": None,
             "Plamo_API": None,
             "Gemini_API": None,
+            "OpenAI_API": None,
         }
         self._USE_EXCLUDE_WORDS = True
         self._SELECTED_TRANSLATION_COMPUTE_DEVICE = copy.deepcopy(self.SELECTABLE_COMPUTE_DEVICE_LIST[0])
         self._SELECTED_TRANSCRIPTION_COMPUTE_DEVICE = copy.deepcopy(self.SELECTABLE_COMPUTE_DEVICE_LIST[0])
         self._CTRANSLATE2_WEIGHT_TYPE = "m2m100_418M-ct2-int8"
-        self._PLAMO_MODEL = "plamo-2.0-prime"
+        self._PLAMO_MODEL = None
-        self._GEMINI_MODEL = "gemini-2.5-flash-lite"
+        self._GEMINI_MODEL = None
+        self._OPENAI_MODEL = None
         self._SELECTED_TRANSLATION_COMPUTE_TYPE = "auto"
         self._WHISPER_WEIGHT_TYPE = "base"
         self._SELECTED_TRANSCRIPTION_COMPUTE_TYPE = "auto"

src-python/controller.py

@@ -1605,36 +1605,6 @@ class Controller:
         self.updateTranslationEngineAndEngineList()
         return {"status":200, "result":config.AUTH_KEYS[translator_name]}
 
-    def getPlamoModelList(self, *args, **kwargs) -> dict:
-        return {"status":200, "result": config.SELECTABLE_PLAMO_MODEL_LIST}
-
-    def setPlamoModel(self, data, *args, **kwargs) -> dict:
-        printLog("Set Plamo Model", data)
-        try:
-            data = str(data)
-            result = model.authenticationTranslatorPlamoAuthKey(auth_key=config.AUTH_KEYS["Plamo_API"], model_name=data)
-            if result is True:
-                config.PLAMO_MODEL = data
-                response = {"status":200, "result":config.PLAMO_MODEL}
-            else:
-                response = {
-                    "status":400,
-                    "result":{
-                        "message":"Plamo model is not valid",
-                        "data": config.PLAMO_MODEL
-                    }
-                }
-        except Exception as e:
-            errorLogging()
-            response = {
-                "status":400,
-                "result":{
-                    "message":f"Error {e}",
-                    "data": config.PLAMO_MODEL
-                }
-            }
-        return response
-
     def getPlamoAuthKey(self, *args, **kwargs) -> dict:
         return {"status":200, "result":config.AUTH_KEYS["Plamo_API"]}
 
@@ -1644,13 +1614,19 @@ class Controller:
         try:
             data = str(data)
             if len(data) == 72:
-                result = model.authenticationTranslatorPlamoAuthKey(auth_key=data, model_name=config.PLAMO_MODEL)
+                result = model.authenticationTranslatorPlamoAuthKey(auth_key=data)
                 if result is True:
                     key = data
                     auth_keys = config.AUTH_KEYS
                     auth_keys[translator_name] = key
                     config.AUTH_KEYS = auth_keys
                     config.SELECTABLE_TRANSLATION_ENGINE_STATUS[translator_name] = True
+                    config.SELECTABLE_PLAMO_MODEL_LIST = model.getTranslatorPlamoModelList()
+                    # ここにrunが必要
+                    if config.PLAMO_MODEL not in config.SELECTABLE_PLAMO_MODEL_LIST:
+                        config.PLAMO_MODEL = config.SELECTABLE_PLAMO_MODEL_LIST[0]
+                        # ここにrunが必要
+                    model.updateTranslatorPlamoClient()
                     self.updateTranslationEngineAndEngineList()
                     response = {"status":200, "result":config.AUTH_KEYS[translator_name]}
                 else:
@@ -1689,23 +1665,27 @@ class Controller:
         self.updateTranslationEngineAndEngineList()
         return {"status":200, "result":config.AUTH_KEYS[translator_name]}
 
-    def getGeminiModelList(self, *args, **kwargs) -> dict:
+    def getPlamoModelList(self, *args, **kwargs) -> dict:
-        return {"status":200, "result": config.SELECTABLE_GEMINI_MODEL_LIST}
+        return {"status":200, "result": config.SELECTABLE_PLAMO_MODEL_LIST}
 
-    def setGeminiModel(self, data, *args, **kwargs) -> dict:
+    def getPlamoModel(self, *args, **kwargs) -> dict:
-        printLog("Set Gemini Model", data)
+        return {"status":200, "result":config.PLAMO_MODEL}
+
+    def setPlamoModel(self, data, *args, **kwargs) -> dict:
+        printLog("Set Plamo Model", data)
         try:
             data = str(data)
-            result = model.authenticationTranslatorGeminiAuthKey(auth_key=config.AUTH_KEYS["Gemini_API"], model_name=data)
+            result = model.setTranslatorPlamoModel(model=data)
             if result is True:
-                config.GEMINI_MODEL = data
+                config.PLAMO_MODEL = data
-                response = {"status":200, "result":config.GEMINI_MODEL}
+                model.updateTranslatorPlamoClient()
+                response = {"status":200, "result":config.PLAMO_MODEL}
             else:
                 response = {
                     "status":400,
                     "result":{
-                        "message":"Gemini model is not valid",
+                        "message":"Plamo model is not valid",
-                        "data": config.GEMINI_MODEL
+                        "data": config.PLAMO_MODEL
                     }
                 }
         except Exception as e:
@@ -1714,7 +1694,7 @@ class Controller:
                 "status":400,
                 "result":{
                     "message":f"Error {e}",
-                    "data": config.GEMINI_MODEL
+                    "data": config.PLAMO_MODEL
                 }
             }
         return response
@@ -1728,13 +1708,19 @@ class Controller:
         try:
             data = str(data)
             if len(data) >= 20:
-                result = model.authenticationTranslatorGeminiAuthKey(auth_key=data, model_name=config.GEMINI_MODEL)
+                result = model.authenticationTranslatorGeminiAuthKey(auth_key=data)
                 if result is True:
                     key = data
                     auth_keys = config.AUTH_KEYS
                     auth_keys[translator_name] = key
                     config.AUTH_KEYS = auth_keys
                     config.SELECTABLE_TRANSLATION_ENGINE_STATUS[translator_name] = True
+                    config.SELECTABLE_GEMINI_MODEL_LIST = model.getTranslatorGeminiModelList()
+                    # ここにrunが必要
+                    if config.GEMINI_MODEL not in config.SELECTABLE_GEMINI_MODEL_LIST:
+                        config.GEMINI_MODEL = config.SELECTABLE_GEMINI_MODEL_LIST[0]
+                        # ここにrunが必要
+                    model.updateTranslatorGeminiClient()
                     self.updateTranslationEngineAndEngineList()
                     response = {"status":200, "result":config.AUTH_KEYS[translator_name]}
                 else:
@@ -1773,6 +1759,118 @@ class Controller:
         self.updateTranslationEngineAndEngineList()
         return {"status":200, "result":config.AUTH_KEYS[translator_name]}
 
+    def getGeminiModelList(self, *args, **kwargs) -> dict:
+        return {"status":200, "result": config.SELECTABLE_GEMINI_MODEL_LIST}
+
+    def getGeminiModel(self, *args, **kwargs) -> dict:
+        return {"status":200, "result":config.GEMINI_MODEL}
+
+    def setGeminiModel(self, data, *args, **kwargs) -> dict:
+        printLog("Set Gemini Model", data)
+        try:
+            data = str(data)
+            result = model.setTranslatorGeminiModel(model=data)
+            if result is True:
+                config.GEMINI_MODEL = data
+                model.updateTranslatorGeminiClient()
+                response = {"status":200, "result":config.GEMINI_MODEL}
+            else:
+                response = {
+                    "status":400,
+                    "result":{
+                        "message":"Gemini model is not valid",
+                        "data": config.GEMINI_MODEL
+                    }
+                }
+        except Exception as e:
+            errorLogging()
+            response = {
+                "status":400,
+                "result":{
+                    "message":f"Error {e}",
+                    "data": config.GEMINI_MODEL
+                }
+            }
+        return response
+
+    @staticmethod
+    def getOpenAiAuthKey(*args, **kwargs) -> dict:
+        return {"status":200, "result":config.AUTH_KEYS["OpenAI_API"]}
+
+    def setOpenAiAuthKey(self, data, *args, **kwargs) -> dict:
+        printLog("Set OpenAI Auth Key", data)
+        translator_name = "OpenAI_API"
+        try:
+            data = str(data)
+            if len(data) >= 20:
+                key = data
+                auth_keys = config.AUTH_KEYS
+                auth_keys[translator_name] = key
+                config.AUTH_KEYS = auth_keys
+                config.SELECTABLE_TRANSLATION_ENGINE_STATUS[translator_name] = True
+                self.updateTranslationEngineAndEngineList()
+                response = {"status":200, "result":config.AUTH_KEYS[translator_name]}
+            else:
+                response = {
+                    "status":400,
+                    "result":{
+                        "message":"OpenAI auth key length is not correct",
+                        "data": config.AUTH_KEYS[translator_name]
+                    }
+                }
+        except Exception as e:
+            errorLogging()
+            response = {
+                "status":400,
+                "result":{
+                    "message":f"Error {e}",
+                    "data": config.AUTH_KEYS[translator_name]
+                }
+            }
+        return response
+
+    def delOpenAiAuthKey(self, *args, **kwargs) -> dict:
+        translator_name = "OpenAI_API"
+        auth_keys = config.AUTH_KEYS
+        auth_keys[translator_name] = None
+        config.AUTH_KEYS = auth_keys
+        config.SELECTABLE_TRANSLATION_ENGINE_STATUS[translator_name] = False
+        self.updateTranslationEngineAndEngineList()
+        return {"status":200, "result":config.AUTH_KEYS[translator_name]}
+
+    def getOpenAiModelList(self, *args, **kwargs) -> dict:
+        return {"status":200, "result": config.SELECTABLE_OPENAI_MODEL_LIST}
+
+    def getOpenAiModel(self, *args, **kwargs) -> dict:
+        return {"status":200, "result":config.OPENAI_MODEL}
+
+    def setOpenAiModel(self, data, *args, **kwargs) -> dict:
+        printLog("Set OpenAI Model", data)
+        try:
+            data = str(data)
+            result = model.setTranslatorOpenAiModel(model=data)
+            if result is True:
+                config.OPENAI_MODEL = data
+                response = {"status":200, "result":config.OPENAI_MODEL}
+            else:
+                response = {
+                    "status":400,
+                    "result":{
+                        "message":"OpenAI model is not valid",
+                        "data": config.OPENAI_MODEL
+                    }
+                }
+        except Exception as e:
+            errorLogging()
+            response = {
+                "status":400,
+                "result":{
+                    "message":f"Error {e}",
+                    "data": config.OPENAI_MODEL
+                }
+            }
+        return response
+
     @staticmethod
     def getCtranslate2WeightType(*args, **kwargs) -> dict:
         return {"status":200, "result":config.CTRANSLATE2_WEIGHT_TYPE}
@@ -2651,9 +2749,14 @@ class Controller:
                     printLog("Start check Plamo API Key")
                     config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = False
                     if config.AUTH_KEYS[engine] is not None:
-                        if model.authenticationTranslatorPlamoAuthKey(auth_key=config.AUTH_KEYS[engine], model=config.PLAMO_MODEL) is True:
+                        if model.authenticationTranslatorPlamoAuthKey(auth_key=config.AUTH_KEYS[engine]) is True:
                             config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
                             printLog("Plamo API Key is valid")
+                            config.SELECTABLE_PLAMO_MODEL_LIST = model.getTranslatorPlamoModelList()
+                            if config.PLAMO_MODEL not in config.SELECTABLE_PLAMO_MODEL_LIST:
+                                config.PLAMO_MODEL = config.SELECTABLE_PLAMO_MODEL_LIST[0]
+                            model.setTranslatorPlamoModel(config.PLAMO_MODEL)
+                            model.updateTranslatorPlamoClient()
                         else:
                             # error update Auth key
                             auth_keys = config.AUTH_KEYS
@@ -2664,15 +2767,38 @@ class Controller:
                     printLog("Start check Gemini API Key")
                     config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = False
                     if config.AUTH_KEYS[engine] is not None:
-                        if model.authenticationTranslatorGeminiAuthKey(auth_key=config.AUTH_KEYS[engine], model=config.GEMINI_MODEL) is True:
+                        if model.authenticationTranslatorGeminiAuthKey(auth_key=config.AUTH_KEYS[engine]) is True:
                             config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
                             printLog("Gemini API Key is valid")
+                            config.SELECTABLE_GEMINI_MODEL_LIST = model.getTranslatorGeminiModelList()
+                            if config.GEMINI_MODEL not in config.SELECTABLE_GEMINI_MODEL_LIST:
+                                config.GEMINI_MODEL = config.SELECTABLE_GEMINI_MODEL_LIST[0]
+                            model.setTranslatorGeminiModel(config.GEMINI_MODEL)
+                            model.updateTranslatorGeminiClient()
                         else:
                             # error update Auth key
                             auth_keys = config.AUTH_KEYS
                             auth_keys[engine] = None
                             config.AUTH_KEYS = auth_keys
                             printLog("Gemini API Key is invalid")
+                case "OpenAI_API":
+                    printLog("Start check OpenAI API Key")
+                    config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = False
+                    if config.AUTH_KEYS[engine] is not None:
+                        if model.authenticationTranslatorOpenAIAuthKey(auth_key=config.AUTH_KEYS[engine]) is True:
+                            config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
+                            printLog("OpenAI API Key is valid")
+                            config.SELECTABLE_OPENAI_MODEL_LIST = model.getTranslatorOpenAIModelList()
+                            if config.OPENAI_MODEL not in config.SELECTABLE_OPENAI_MODEL_LIST:
+                                config.OPENAI_MODEL = config.SELECTABLE_OPENAI_MODEL_LIST[0]
+                            model.setTranslatorOpenAiModel(config.OPENAI_MODEL)
+                            model.updateTranslatorOpenAIClient()
+                        else:
+                            # error update Auth key
+                            auth_keys = config.AUTH_KEYS
+                            auth_keys[engine] = None
+                            config.AUTH_KEYS = auth_keys
+                            printLog("OpenAI API Key is invalid")
                 case _:
                     if connected_network is True:
                         config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True

src-python/mainloop.py

@@ -175,17 +175,26 @@ mapping = {
     "/delete/data/deepl_auth_key": {"status": False, "variable":controller.delDeeplAuthKey},
 
     "/get/data/plamo_model_list": {"status": False, "variable":controller.getPlamoModelList},
+    "/get/data/plamo_model": {"status": False, "variable":controller.getPlamoModel},
     "/set/data/plamo_model": {"status": False, "variable":controller.setPlamoModel},
     "/get/data/plamo_auth_key": {"status": False, "variable":controller.getPlamoAuthKey},
     "/set/data/plamo_auth_key": {"status": False, "variable":controller.setPlamoAuthKey},
     "/delete/data/plamo_auth_key": {"status": False, "variable":controller.delPlamoAuthKey},
 
     "/get/data/gemini_model_list": {"status": True, "variable":controller.getGeminiModelList},
+    "/get/data/gemini_model": {"status": True, "variable":controller.getGeminiModel},
     "/set/data/gemini_model": {"status": True, "variable":controller.setGeminiModel},
     "/get/data/gemini_auth_key": {"status": True, "variable":controller.getGeminiAuthKey},
     "/set/data/gemini_auth_key": {"status": True, "variable":controller.setGeminiAuthKey},
     "/delete/data/gemini_auth_key": {"status": True, "variable":controller.delGeminiAuthKey},
 
+    "/get/data/openai_model_list": {"status": True, "variable":controller.getOpenAiModelList},
+    "/get/data/openai_model": {"status": True, "variable":controller.getOpenAiModel},
+    "/set/data/openai_model": {"status": True, "variable":controller.setOpenAiModel},
+    "/get/data/openai_auth_key": {"status": True, "variable":controller.getOpenAiAuthKey},
+    "/set/data/openai_auth_key": {"status": True, "variable":controller.setOpenAiAuthKey},
+    "/delete/data/openai_auth_key": {"status": True, "variable":controller.delOpenAiAuthKey},
+
     "/get/data/convert_message_to_romaji": {"status": True, "variable":controller.getConvertMessageToRomaji},
     "/set/enable/convert_message_to_romaji": {"status": True, "variable":controller.setEnableConvertMessageToRomaji},
     "/set/disable/convert_message_to_romaji": {"status": True, "variable":controller.setDisableConvertMessageToRomaji},

src-python/model.py

@@ -198,14 +198,57 @@ class Model:
         result = self.translator.authenticationDeepLAuthKey(auth_key)
         return result
 
-    def authenticationTranslatorPlamoAuthKey(self, auth_key: str, model: str) -> bool:
+    def authenticationTranslatorPlamoAuthKey(self, auth_key: str) -> bool:
-        result = self.translator.authenticationPlamoAuthKey(auth_key, model=model, root_path=config.PATH_LOCAL)
+        result = self.translator.authenticationPlamoAuthKey(auth_key, root_path=config.PATH_LOCAL)
         return result
 
-    def authenticationTranslatorGeminiAuthKey(self, auth_key: str, model: str) -> bool:
+    def getTranslatorPlamoModelList(self) -> list[str]:
-        result = self.translator.authenticationGeminiAuthKey(auth_key, model=model, root_path=config.PATH_LOCAL)
+        self.ensure_initialized()
+        return self.translator.getPlamoModelList()
+
+    def setTranslatorPlamoModel(self, model: str) -> bool:
+        self.ensure_initialized()
+        result = self.translator.setPlamoModel(model=model)
         return result
 
+    def updateTranslatorPlamoClient(self) -> None:
+        self.ensure_initialized()
+        self.translator.updatePlamoClient()
+
+    def authenticationTranslatorGeminiAuthKey(self, auth_key: str) -> bool:
+        result = self.translator.authenticationGeminiAuthKey(auth_key, root_path=config.PATH_LOCAL)
+        return result
+
+    def getTranslatorGeminiModelList(self) -> list[str]:
+        self.ensure_initialized()
+        return self.translator.getGeminiModelList()
+
+    def setTranslatorGeminiModel(self, model: str) -> bool:
+        self.ensure_initialized()
+        result = self.translator.setGeminiModel(model=model)
+        return result
+
+    def updateTranslatorGeminiClient(self) -> None:
+        self.ensure_initialized()
+        self.translator.updateGeminiClient()
+
+    def authenticationTranslatorOpenAIAuthKey(self, auth_key: str, base_url: Optional[str] = None) -> bool:
+        result = self.translator.authenticationOpenAIAuthKey(auth_key, base_url=base_url, root_path=config.PATH_LOCAL)
+        return result
+
+    def getTranslatorOpenAIModelList(self) -> list[str]:
+        self.ensure_initialized()
+        return self.translator.getOpenAIModelList()
+
+    def setTranslatorOpenAiModel(self, model: str) -> bool:
+        self.ensure_initialized()
+        result = self.translator.setOpenAIModel(model=model)
+        return result
+
+    def updateTranslatorOpenAIClient(self) -> None:
+        self.ensure_initialized()
+        self.translator.updateOpenAIClient()
+
     def startLogger(self):
         self.ensure_initialized()
         os_makedirs(config.PATH_LOGS, exist_ok=True)

src-python/models/translation/prompt/translation_gemini.yml

@@ -1,7 +1,10 @@
 system_prompt: |
-  Please translate the following text from {input_lang} to {output_lang}.
+  You are a helpful translation assistant.
-  Only provide the translated text as the output.
+  Supported languages:
-  {text}
+  {supported_languages}
+  
+  Translate the user provided text from {input_lang} to {output_lang}.
+  Return ONLY the translated text. Do not add quotes or extra commentary.
 
 supported_languages: |
   Arabic

src-python/models/translation/prompt/translation_openai.yml

@@ -0,0 +1,49 @@
+system_prompt: |
+  You are a helpful translation assistant.
+  Supported languages:
+  {supported_languages}
+
+  Translate the user provided text from {input_lang} to {output_lang}.
+  Return ONLY the translated text. Do not add quotes or extra commentary.
+
+supported_languages: |
+  Arabic
+  Bengali
+  Bulgarian
+  Catalan
+  Chinese Simplified
+  Chinese Traditional
+  Croatian
+  Czech
+  Danish
+  Dutch
+  English
+  Estonian
+  Finnish
+  French
+  German
+  Greek
+  Hebrew
+  Hindi
+  Hungarian
+  Indonesian
+  Italian
+  Japanese
+  Korean
+  Latvian
+  Lithuanian
+  Norwegian
+  Polish
+  Portuguese
+  Romanian
+  Russian
+  Serbian
+  Slovak
+  Slovenian
+  Spanish
+  Swahili
+  Swedish
+  Thai
+  Turkish
+  Ukrainian
+  Vietnamese

src-python/models/translation/translation_gemini.py

@@ -1,148 +1,138 @@
 import logging
+from google import genai
 from langchain_google_genai import ChatGoogleGenerativeAI
-from langchain_core.messages import HumanMessage
 import yaml
 from os import path as os_path
 
 logger = logging.getLogger("langchain_google_genai")
 logger.setLevel(logging.ERROR)
 
-_MODELS = [
+def _authentication_check(api_key: str) -> bool:
-    "gemini-2.5-pro",
+    """Check if the provided API key is valid by attempting to list models.
-    "gemini-2.5-flash",
+    """
-    "gemini-2.5-flash-lite", # default
+    try:
-    "gemini-2.0-flash",
+        client = genai.Client(api_key=api_key)
-    "gemini-2.0-flash-lite",
+        client.models.list()
-    "gemini-1.5-pro",
+        return True
-    "gemini-1.5-flash-8b"
+    except Exception:
-    "gemini-1.5-flash",
+        return False
+
+def _get_available_text_models(api_key: str) -> list[str]:
+    """Extract only Gemini models suitable for translation and chat applications
+    """
+    client = genai.Client(api_key=api_key)
+    res = client.models.list()
+    allowed_models = []
+
+    # 除外対象のキーワード
+    exclude_keywords = [
+        "audio",
+        "image",
+        "veo",
+        "tts",
+        "robotics",
+        "computer-use"
     ]
+    for model in res:
+        model_id = model.name
+        if ("gemini" in model_id.lower() or "gemma" in model_id.lower()) and "generateContent" in model.supported_actions:
+            if any(x in model_id for x in exclude_keywords):
+                continue
+            allowed_models.append(model_id.replace("models/", ""))
+    allowed_models.sort()
+    return allowed_models
+
+def _load_prompt_config(root_path: str = None) -> dict:
+    """プロンプト設定をYAMLファイルから読み込む"""
+    prompt_filename = "translation_gemini.yml"
+
+    # PyInstallerでビルドされた場合のパス
+    if root_path and os_path.exists(os_path.join(root_path, "_internal", "prompt", prompt_filename)):
+        prompt_path = os_path.join(root_path, "_internal", "prompt", prompt_filename)
+    # src-pythonフォルダから直接実行している場合のパス
+    elif os_path.exists(os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)):
+        prompt_path = os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)
+    # translationフォルダから直接実行している場合のパス
+    elif os_path.exists(os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)):
+        prompt_path = os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)
+    else:
+        raise FileNotFoundError(f"Prompt file not found: {prompt_filename}")
+
+    with open(prompt_path, "r", encoding="utf-8") as f:
+        return yaml.safe_load(f)
 
 class GeminiClient:
-    def __init__(self, api_key: str = "", model: str = "gemini-2.5-flash-lite", root_path: str = None):
+    def __init__(self, root_path: str = None):
-        self.api_key = api_key
+        self.api_key = None
-        self.model = model
+        self.model = None
 
         # プロンプト設定をYAMLファイルから読み込む
-        prompt_config = self._load_prompt_config(root_path)
+        prompt_config = _load_prompt_config(root_path)
         self.supported_languages = prompt_config["supported_languages"]
         self.prompt_template = prompt_config["system_prompt"]
 
+        self.gemini_llm = None
+
+    def getModelList(self) -> list[str]:
+        return _get_available_text_models(self.api_key)
+
+    def getAuthKey(self) -> str:
+        return self.api_key
+
+    def setAuthKey(self, api_key: str) -> bool:
+        result = _authentication_check(api_key)
+        if result:
+            self.api_key = api_key
+        return result
+
+    def getModel(self) -> str:
+        return self.model
+
+    def setModel(self, model: str) -> bool:
+        if model in self.getModelList():
+            self.model = model
+            return True
+        else:
+            return False
+
+    def updateClient(self) -> None:
         self.gemini_llm = ChatGoogleGenerativeAI(
             model=self.model,
             api_key=self.api_key,
         )
 
-    def _load_prompt_config(self, root_path: str = None) -> dict:
-        """プロンプト設定をYAMLファイルから読み込む"""
-        prompt_filename = "translation_gemini.yml"
-
-        # PyInstallerでビルドされた場合のパス
-        if root_path and os_path.exists(os_path.join(root_path, "_internal", "prompt", prompt_filename)):
-            prompt_path = os_path.join(root_path, "_internal", "prompt", prompt_filename)
-        # src-pythonフォルダから直接実行している場合のパス
-        elif os_path.exists(os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)):
-            prompt_path = os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)
-        # translationフォルダから直接実行している場合のパス
-        elif os_path.exists(os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)):
-            prompt_path = os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)
-        else:
-            raise FileNotFoundError(f"Prompt file not found: {prompt_filename}")
-
-        with open(prompt_path, "r", encoding="utf-8") as f:
-            return yaml.safe_load(f)
-
-    def getListModels(self) -> list[str]:
-        return _MODELS
-
-    def getAuthKey(self) -> str:
-        """現在のAuthKeyを取得する"""
-        return self.api_key
-
-    def getModel(self) -> str:
-        """現在のモデルを取得する"""
-        return self.model
-
-    def setAuthKey(self, api_key: str) -> bool:
-        """AuthKeyを設定し、成功したかどうかを返す"""
-        try:
-            self.api_key = api_key
-            self.gemini_llm = ChatGoogleGenerativeAI(
-                model=self.model,
-                api_key=self.api_key,
-            )
-            return True
-        except Exception as e:
-            print(f"Error setting AuthKey: {e}")
-            return False
-
-    def setModel(self, model: str) -> bool:
-        """モデルを設定し、成功したかどうかを返す"""
-        try:
-            if model in _MODELS:
-                self.model = model
-                self.gemini_llm = ChatGoogleGenerativeAI(
-                    model=self.model,
-                    api_key=self.api_key,
-                )
-                return True
-            else:
-                print(f"Model {model} is not supported.")
-                return False
-        except Exception as e:
-            print(f"Error setting model: {e}")
-            return False
-
     def translate(self, text: str, input_lang: str, output_lang: str) -> str:
-        messages = self.prompt_template.format(
+        system_prompt = self.prompt_template.format(
-                    input_lang=input_lang,
+            supported_languages=self.supported_languages,
-                    output_lang=output_lang,
+            input_lang=input_lang,
-                    text=text
+            output_lang=output_lang
-                )
+        )
 
-        output = self.gemini_llm.invoke([HumanMessage(content=messages)])
+        messages = [
-        return output.content
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": text}
+        ]
 
-    def checkAuthKey(self) -> bool:
+        resp = self.gemini_llm.invoke(messages)
-        try:
+        content = ""
-            self.setModel(self.model)
+        if isinstance(resp.content, str):
-            self.translate("Hello World", input_lang="English", output_lang="Japanese")
+            content = resp.content
-            return True
+        elif isinstance(resp.content, list):
-        except Exception:
+            for part in resp.content:
-            return False
+                if isinstance(part, str):
+                    content += part
+                elif isinstance(part, dict) and "content" in part and isinstance(part["content"], str):
+                    content += part["content"]
+        return content.strip()
 
 if __name__ == "__main__":
     AUTH_KEY = "AUTH_KEY"
-    text = """
+    client = GeminiClient()
-        毎朝コーヒーを入れるのがささやかな楽しみになってる
+    client.setAuthKey(AUTH_KEY)
-        """
+    models = client.getModelList()
-    input_lang = "Japanese"
+    if models:
-    output_lang = "English"
+        print("Available models:", models)
-
+        model = input("Select a model: ")
-    gemini_client = GeminiClient(api_key=AUTH_KEY, model="gemini-2.5-flash-lite")
+        client.setModel(model)
-
+        client.updateClient()
-    print("model list:", gemini_client.getListModels())
+        print(client.translate("こんにちは世界", "Japanese", "English"))
-    print("AuthKey:", gemini_client.getAuthKey())
-    # print("Model:", gemini_client.getModel())
-    # print(f"set model: {gemini_client.setModel('gemini-2.5-flash')}")
-    # print(f"set AuthKey: {gemini_client.setAuthKey(AUTH_KEY)}")
-    # print(f"check AuthKey: {gemini_client.checkAuthKey()}")
-
-    # try:
-    #     translated_text = gemini_client.translate(text, input_lang, output_lang)
-    #     print(translated_text)
-    # except Exception:
-    #     print("Invalid API key. Please check your credentials.")
-
-    # 外部ファイルから読み込んだサポート言語を使用
-    for lang in gemini_client.supported_languages.split("\n"):
-        if lang == "":
-            continue
-        print (f"Translating to {lang}:")
-        try:
-            translated_text = gemini_client.translate(text, input_lang, lang)
-            print(f"Translated text: {translated_text}")
-        except Exception as e:
-            print(f"Error translating to {lang} api limit")
-            print(f"Error reason: {e}")
-            break

src-python/models/translation/translation_languages.py

@@ -664,3 +664,49 @@ dict_gemini_languages = {
 }
 
 translation_lang["Gemini_API"] = {"source":dict_gemini_languages, "target":dict_gemini_languages}
+
+# OpenAI API (Chat Completions) - Gemini とほぼ同等の自然言語名を使用
+dict_openai_languages = {
+    "Arabic": "Arabic",
+    "Bengali": "Bengali",
+    "Bulgarian": "Bulgarian",
+    "Catalan": "Catalan",
+    "Chinese Simplified": "Simplified Chinese",
+    "Chinese Traditional": "Traditional Chinese",
+    "Croatian": "Croatian",
+    "Czech": "Czech",
+    "Danish": "Danish",
+    "Dutch": "Dutch",
+    "English": "English",
+    "Estonian": "Estonian",
+    "Finnish": "Finnish",
+    "French": "French",
+    "German": "German",
+    "Greek": "Greek",
+    "Hebrew": "Hebrew",
+    "Hindi": "Hindi",
+    "Hungarian": "Hungarian",
+    "Indonesian": "Indonesian",
+    "Italian": "Italian",
+    "Japanese": "Japanese",
+    "Korean": "Korean",
+    "Latvian": "Latvian",
+    "Lithuanian": "Lithuanian",
+    "Norwegian": "Norwegian",
+    "Polish": "Polish",
+    "Portuguese": "Portuguese",
+    "Romanian": "Romanian",
+    "Russian": "Russian",
+    "Serbian": "Serbian",
+    "Slovak": "Slovak",
+    "Slovenian": "Slovenian",
+    "Spanish": "Spanish",
+    "Swahili": "Swahili",
+    "Swedish": "Swedish",
+    "Thai": "Thai",
+    "Turkish": "Turkish",
+    "Ukrainian": "Ukrainian",
+    "Vietnamese": "Vietnamese",
+}
+
+translation_lang["OpenAI_API"] = {"source": dict_openai_languages, "target": dict_openai_languages}

src-python/models/translation/translation_openai.py

@@ -0,0 +1,148 @@
+from openai import OpenAI
+from langchain_openai import ChatOpenAI
+from pydantic import SecretStr
+import yaml
+from os import path as os_path
+
+def _authentication_check(api_key: str, base_url: str | None = None) -> bool:
+    """Check if the provided API key is valid by attempting to list models.
+    """
+    try:
+        client = OpenAI(api_key=api_key, base_url=base_url)
+        client.models.list()
+        return True
+    except Exception:
+        return False
+
+def _get_available_text_models(api_key: str, base_url: str | None = None) -> list[str]:
+    """Extract only GPT models suitable for translation and chat applications (plus those with fine-tuning)
+    """
+    client = OpenAI(api_key=api_key, base_url=base_url)
+    res = client.models.list()
+    allowed_models = []
+
+    for model in res.data:
+        model_id = model.id
+        root = getattr(model, "root", "")
+
+        # 除外対象のキーワード
+        exclude_keywords = [
+            "whisper",       # 音声認識
+            "embedding",     # 埋め込み
+            "image",         # 画像生成
+            "tts",           # 音声合成
+            "audio",         # 音声系（transcribe, diarize含む）
+            "search",        # 検索補助モデル
+            "transcribe",    # 音声→文字起こし
+            "diarize",       # 話者分離
+            "vision"         # 画像入力系（旧gpt-4-visionなど）
+        ]
+
+        # 除外キーワードが含まれているモデルをスキップ
+        if any(kw in model_id for kw in exclude_keywords):
+            continue
+
+        # GPTモデルまたはFine-tune GPTモデルのみ対象
+        if model_id.startswith("gpt-"):
+            allowed_models.append(model_id)
+        elif model_id.startswith("ft:") and root.startswith("gpt-"):
+            allowed_models.append(model_id)
+
+    allowed_models.sort()
+    return allowed_models
+
+def _load_prompt_config(root_path: str = None) -> dict:
+    prompt_filename = "translation_openai.yml"
+    # PyInstaller 展開後
+    if root_path and os_path.exists(os_path.join(root_path, "_internal", "prompt", prompt_filename)):
+        prompt_path = os_path.join(root_path, "_internal", "prompt", prompt_filename)
+    # src-python 直下実行
+    elif os_path.exists(os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)):
+        prompt_path = os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)
+    # translation フォルダ直下実行
+    elif os_path.exists(os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)):
+        prompt_path = os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)
+    else:
+        raise FileNotFoundError(f"Prompt file not found: {prompt_filename}")
+    with open(prompt_path, "r", encoding="utf-8") as f:
+        return yaml.safe_load(f)
+
+class OpenAIClient:
+    """OpenAI Translation simple wrapper.
+    prompt/translation_openai.yml から system_prompt / supported_languages を読み込む。
+    """
+    def __init__(self, base_url: str | None = None, root_path: str = None):
+        self.api_key = None
+        self.model = None
+        self.base_url = base_url  # None の場合は公式エンドポイント
+
+        prompt_config = _load_prompt_config(root_path)
+        self.supported_languages = prompt_config["supported_languages"]
+        self.prompt_template = prompt_config["system_prompt"]
+
+        self.openai_llm = None
+
+    def getModelList(self) -> list[str]:
+        return _get_available_text_models(self.api_key, self.base_url) if self.api_key else []
+
+    def getAuthKey(self) -> str:
+        return self.api_key
+
+    def setAuthKey(self, api_key: str) -> bool:
+        result = _authentication_check(api_key, self.base_url)
+        if result:
+            self.api_key = api_key
+        return result
+
+    def getModel(self) -> str:
+        return self.model
+
+    def setModel(self, model: str) -> bool:
+        if model in self.getModelList():
+            self.model = model
+            return True
+        else:
+            return False
+
+    def updateClient(self) -> None:
+        self.openai_llm = ChatOpenAI(
+            base_url=self.base_url,
+            model=self.model,
+            api_key=SecretStr(self.api_key),
+            streaming=False,
+        )
+
+    def translate(self, text: str, input_lang: str, output_lang: str) -> str:
+        system_prompt = self.prompt_template.format(
+            supported_languages=self.supported_languages,
+            input_lang=input_lang,
+            output_lang=output_lang,
+        )
+        messages = [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": text},
+        ]
+
+        resp = self.openai_llm.invoke(messages)
+        content = ""
+        if isinstance(resp.content, str):
+            content = resp.content
+        elif isinstance(resp.content, list):
+            for part in resp.content:
+                if isinstance(part, str):
+                    content += part
+                elif isinstance(part, dict) and "content" in part and isinstance(part["content"], str):
+                    content += part["content"]
+        return content.strip()
+
+if __name__ == "__main__":
+    AUTH_KEY = "OPENAI_API_KEY"
+    client = OpenAIClient()
+    client.setAuthKey(AUTH_KEY)
+    models = client.getModelList()
+    if models:
+        print("Available models:", models)
+        model = input("Select a model: ")
+        client.setModel(model)
+        client.updateClient()
+        print(client.translate("こんにちは世界", "Japanese", "English"))

src-python/models/translation/translation_plamo.py

@@ -1,147 +1,126 @@
+from openai import OpenAI
 from langchain_openai import ChatOpenAI
 from pydantic import SecretStr
 import yaml
 from os import path as os_path
 
-_MODELS = [
+BASE_URL = "https://api.platform.preferredai.jp/v1"
-    "plamo-2.0-prime"
+
-    ]
+def _authentication_check(api_key: str) -> bool:
+    """Check if the provided API key is valid by attempting to list models.
+    """
+    try:
+        client = OpenAI(api_key=api_key, base_url=BASE_URL)
+        client.models.list()
+        return True
+    except Exception:
+        return False
+
+def _get_available_text_models(api_key: str) -> list[str]:
+    """Extract all available models from the PLAMO API
+    """
+    client = OpenAI(api_key=api_key, base_url=BASE_URL)
+    res = client.models.list()
+    allowed_models = []
+
+    for model in res.data:
+        allowed_models.append(model.id)
+
+    allowed_models.sort()
+    return allowed_models
+
+def _load_prompt_config(root_path: str = None) -> dict:
+    """プロンプト設定をYAMLファイルから読み込む"""
+    prompt_filename = "translation_plamo.yml"
+
+    # PyInstallerでビルドされた場合のパス
+    if root_path and os_path.exists(os_path.join(root_path, "_internal", "prompt", prompt_filename)):
+        prompt_path = os_path.join(root_path, "_internal", "prompt", prompt_filename)
+    # src-pythonフォルダから直接実行している場合のパス
+    elif os_path.exists(os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)):
+        prompt_path = os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)
+    # translationフォルダから直接実行している場合のパス
+    elif os_path.exists(os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)):
+        prompt_path = os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)
+    else:
+        raise FileNotFoundError(f"Prompt file not found: {prompt_filename}")
+
+    with open(prompt_path, "r", encoding="utf-8") as f:
+        return yaml.safe_load(f)
 
 class PlamoClient:
-    def __init__(self, api_key: str = "", model: str = "plamo-2.0-prime", root_path: str = None):
+    def __init__(self, root_path: str = None):
-        self.api_key = api_key
+        self.api_key = None
-        self.base_url = "https://api.platform.preferredai.jp/v1"
+        self.base_url = BASE_URL
-        self.model = model
+        self.model = None
 
-        # プロンプト設定をYAMLファイルから読み込む
+        prompt_config = _load_prompt_config(root_path)
-        prompt_config = self._load_prompt_config(root_path)
         self.supported_languages = prompt_config["supported_languages"]
         self.prompt_template = prompt_config["system_prompt"]
 
+        self.plamo_llm = None
+
+    def getModelList(self) -> list[str]:
+        return _get_available_text_models(self.api_key) if self.api_key else []
+
+    def getAuthKey(self) -> str:
+        return self.api_key
+
+    def setAuthKey(self, api_key: str) -> bool:
+        result = _authentication_check(api_key)
+        if result:
+            self.api_key = api_key
+        return result
+
+    def getModel(self) -> str:
+        return self.model
+
+    def setModel(self, model: str) -> bool:
+        if model in self.getModelList():
+            self.model = model
+            return True
+        else:
+            return False
+
+    def updateClient(self) -> None:
         self.plamo_llm = ChatOpenAI(
             base_url=self.base_url,
             model=self.model,
-            streaming=True,
+            streaming=False,
             api_key=SecretStr(self.api_key),
         )
 
-    def _load_prompt_config(self, root_path: str = None) -> dict:
-        """プロンプト設定をYAMLファイルから読み込む"""
-        prompt_filename = "translation_plamo.yml"
-
-        # PyInstallerでビルドされた場合のパス
-        if root_path and os_path.exists(os_path.join(root_path, "_internal", "prompt", prompt_filename)):
-            prompt_path = os_path.join(root_path, "_internal", "prompt", prompt_filename)
-        # src-pythonフォルダから直接実行している場合のパス
-        elif os_path.exists(os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)):
-            prompt_path = os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)
-        # translationフォルダから直接実行している場合のパス
-        elif os_path.exists(os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)):
-            prompt_path = os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)
-        else:
-            raise FileNotFoundError(f"Prompt file not found: {prompt_filename}")
-
-        with open(prompt_path, "r", encoding="utf-8") as f:
-            return yaml.safe_load(f)
-
-    def getListModels(self) -> list[str]:
-        return _MODELS
-
-    def getAuthKey(self) -> str:
-        """現在のAuthKeyを取得する"""
-        return self.api_key
-
-    def getModel(self) -> str:
-        """現在のモデルを取得する"""
-        return self.model
-
-    def setAuthKey(self, api_key: str) -> bool:
-        """AuthKeyを設定し、成功したかどうかを返す"""
-        try:
-            self.api_key = api_key
-            self.plamo_llm = ChatOpenAI(
-                base_url=self.base_url,
-                model=self.model,
-                streaming=True,
-                api_key=SecretStr(self.api_key),
-            )
-            return True
-        except Exception as e:
-            return False
-
-    def setModel(self, model: str) -> bool:
-        """モデルを設定し、成功したかどうかを返す"""
-        if model not in _MODELS:
-            return False
-
-        try:
-            self.model = model
-            self.plamo_llm = ChatOpenAI(
-                base_url=self.base_url,
-                model=self.model,
-                streaming=True,
-                api_key=SecretStr(self.api_key),
-            )
-            return True
-        except Exception as e:
-            print(f"Error setting model: {e}")
-            return False
-
     def translate(self, text: str, input_lang: str, output_lang: str) -> str:
+        system_prompt = self.prompt_template.format(
+            supported_languages=self.supported_languages,
+            input_lang=input_lang,
+            output_lang=output_lang
+        )
         messages = [
-            {
+            {"role": "system", "content": system_prompt},
-                "role": "system",
-                "content": self.prompt_template.format(
-                    supported_languages=self.supported_languages,
-                    input_lang=input_lang,
-                    output_lang=output_lang
-                ),
-            },
             {"role": "user", "content": text},
         ]
 
-        output = ""
+        resp = self.plamo_llm.invoke(messages)
-        for chunk in self.plamo_llm.stream(messages):
+        content = ""
-            if isinstance(chunk.content, str):
+        if isinstance(resp.content, str):
-                output += chunk.content
+            content = resp.content
-            elif isinstance(chunk.content, list):
+        elif isinstance(resp.content, list):
-                for item in chunk.content:
+            for part in resp.content:
-                    if isinstance(item, str):
+                if isinstance(part, str):
-                        output += item
+                    content += part
-                    elif isinstance(item, dict):
+                elif isinstance(part, dict) and "content" in part and isinstance(part["content"], str):
-                        if "content" in item and isinstance(item["content"], str):
+                    content += part["content"]
-                            output += item["content"]
+        return content.strip()
-
-        return output[:-1]
-
-    def checkAuthKey(self) -> bool:
-        try:
-            self.setModel(self.model)
-            self.translate("Hello World", input_lang="English", output_lang="Japanese")
-            return True
-        except Exception as e:
-            print(f"Error checking AuthKey: {e}")
-            return False
 
 if __name__ == "__main__":
-    AUTH_KEY = "AUTH_KEY"
+    AUTH_KEY = "PLAMO_API_KEY"
-    text = """
+    client = PlamoClient()
-        毎朝コーヒーを入れるのがささやかな楽しみになってる
+    client.setAuthKey(AUTH_KEY)
-        """
+    models = client.getModelList()
-    input_lang = "Japanese"
+    if models:
-    output_lang = "English"
+        print("Available models:", models)
-
+        model = input("Select a model: ")
-    plamo_client = PlamoClient(api_key=AUTH_KEY)
+        client.setModel(model)
-
+        client.updateClient()
-    print("model list:", plamo_client.getListModels())
+        print(client.translate("こんにちは世界", "Japanese", "English"))
-    print("AuthKey:", plamo_client.getAuthKey())
-    print("Model:", plamo_client.getModel())
-    print(f"set model: {plamo_client.setModel('plamo-2.0-prime')}")
-    print(f"set AuthKey: {plamo_client.setAuthKey(AUTH_KEY)}")
-    print(f"check AuthKey: {plamo_client.checkAuthKey()}")
-
-    try:
-        translated_text = plamo_client.translate(text, input_lang, output_lang)
-        print(translated_text)
-    except Exception:
-        print("Invalid API key. Please check your credentials.")

src-python/models/translation/translation_translator.py

@@ -12,6 +12,7 @@ try:
     from .translation_utils import ctranslate2_weights
     from .translation_plamo import PlamoClient
     from .translation_gemini import GeminiClient
+    from .translation_openai import OpenAIClient
 except Exception:
     import sys
     print(os_path.dirname(os_path.dirname(os_path.dirname(os_path.abspath(__file__)))))
@@ -20,6 +21,7 @@ except Exception:
     from translation_utils import ctranslate2_weights
     from translation_plamo import PlamoClient
     from translation_gemini import GeminiClient
+    from translation_openai import OpenAIClient
 
 import ctranslate2
 import transformers
@@ -44,6 +46,7 @@ class Translator:
         self.deepl_client: Optional[DeepLClient] = None
         self.plamo_client: Optional[PlamoClient] = None
         self.gemini_client: Optional[GeminiClient] = None
+        self.openai_client: Optional[OpenAIClient] = None
         self.ctranslate2_translator: Any = None
         self.ctranslate2_tokenizer: Any = None
         self.is_loaded_ctranslate2_model: bool = False
@@ -66,35 +69,107 @@ class Translator:
             result = False
         return result
 
-    def authenticationPlamoAuthKey(self, auth_key: str, model: str, root_path: str = None) -> bool:
+    def authenticationPlamoAuthKey(self, auth_key: str, root_path: str = None) -> bool:
         """Authenticate Plamo API with the provided key.
 
         Returns True on success, False on failure.
         """
-        result = True
+        self.plamo_client = PlamoClient(root_path=root_path)
-        try:
+        if self.plamo_client.setAuthKey(auth_key):
-            self.plamo_client = PlamoClient(auth_key, model=model, root_path=root_path)
+            return True
-            self.plamo_client.checkAuthKey()
+        else:
-        except Exception:
-            errorLogging()
             self.plamo_client = None
-            result = False
+            return False
-        return result
 
-    def authenticationGeminiAuthKey(self, auth_key: str, model: str, root_path: str = None) -> bool:
+    def getPlamoModelList(self) -> list[str]:
+        """Get available Plamo models.
+
+        Returns a list of model names, or an empty list on failure.
+        """
+        if self.plamo_client is None:
+            return []
+        return self.plamo_client.getModelList()
+
+    def setPlamoModel(self, model: str) -> bool:
+        """Change the Plamo model used for translation.
+
+        Returns True on success, False on failure.
+        """
+        if self.plamo_client is None:
+            return False
+        return self.plamo_client.setModel(model)
+
+    def updatePlamoClient(self) -> None:
+        """Update the Plamo client (fetch available models)."""
+        self.plamo_client.updateClient()
+
+    def authenticationGeminiAuthKey(self, auth_key: str, root_path: str = None) -> bool:
         """Authenticate Gemini API with the provided key.
 
         Returns True on success, False on failure.
         """
-        result = True
+        self.gemini_client = GeminiClient(root_path=root_path)
-        try:
+        if self.gemini_client.setAuthKey(auth_key):
-            self.gemini_client = GeminiClient(auth_key, model=model, root_path=root_path)
+            return True
-            self.gemini_client.checkAuthKey()
+        else:
-        except Exception:
+            return False
-            errorLogging()
+
-            self.gemini_client = None
+    def getGeminiModelList(self) -> list[str]:
-            result = False
+        """Get available Gemini models.
-        return result
+
+        Returns a list of model names, or an empty list on failure.
+        """
+        if self.gemini_client is None:
+            return []
+        return self.gemini_client.getModelList()
+
+    def setGeminiModel(self, model: str) -> bool:
+        """Change the Gemini model used for translation.
+
+        Returns True on success, False on failure.
+        """
+        if self.gemini_client is None:
+            return False
+        return self.gemini_client.setModel(model)
+
+    def updateGeminiClient(self) -> None:
+        """Update the Gemini client (fetch available models)."""
+        self.gemini_client.updateClient()
+
+    def authenticationOpenAIAuthKey(self, auth_key: str, base_url: str | None = None, root_path: str = None) -> bool:
+        """Authenticate OpenAI (Chat Completions) API with the provided key.
+
+        base_url を指定することで互換エンドポイント (例: Azure OpenAI 互換, Proxy) にも対応可能。
+        Returns True on success, False on failure.
+        """
+        self.openai_client = OpenAIClient(base_url=base_url, root_path=root_path)
+        if self.openai_client.setAuthKey(auth_key):
+            return True
+        else:
+            self.openai_client = None
+            return False
+
+    def getOpenAIModelList(self) -> list[str]:
+        """Get available OpenAI models.
+
+        Returns a list of model names, or an empty list on failure.
+        """
+        if self.openai_client is None:
+            return []
+        return self.openai_client.getModelList()
+
+    def setOpenAIModel(self, model: str) -> bool:
+        """Change the OpenAI model used for translation.
+
+        Returns True on success, False on failure.
+        """
+        if self.openai_client is None:
+            return False
+        return self.openai_client.setModel(model)
+
+    def updateOpenAIClient(self) -> None:
+        """Update the OpenAI client (fetch available models)."""
+        self.openai_client.updateClient()
 
     def changeCTranslate2Model(self, path: str, model_type: str, device: str = "cpu", device_index: int = 0, compute_type: str = "auto") -> None:
         """Load a CTranslate2 model from weights.
@@ -236,6 +311,15 @@ class Translator:
                             input_lang=source_language,
                             output_lang=target_language,
                             )
+                case "OpenAI_API":
+                    if self.openai_client is None:
+                        result = False
+                    else:
+                        result = self.openai_client.translate(
+                            message,
+                            input_lang=source_language,
+                            output_lang=target_language,
+                        )
                 case "Google":
                     if self.is_enable_translators is True and other_web_Translator is not None:
                         result = other_web_Translator(