.env.example

@@ -5,7 +5,14 @@
 # https://makersuite.google.com/app/apikey
 GOOGLE_API_KEY=
 
-
+# https://platform.openai.com/settings/organization/api-keys
+OPENAI_API_KEY=
+# https://admin.mistral.ai/organization/api-keys
+MISTRAL_API_KEY=
+# https://platform.deepseek.com/api_keys
+DEEPSEEK_API_KEY=
+# https://console.x.ai/team/%TEAM_ID%/api-keys
+XAI_API_KEY=
 ###############################################################################
 # Configurazioni per gli agenti di mercato
 ###############################################################################

configs.yaml

@@ -19,6 +19,18 @@ models:
       label: Gemini
     # - name: gemini-2.0-pro # TODO Non funziona, ha un nome diverso
     #   label: Gemini Pro
+  gpt:
+    - name: gpt-4o
+      label: OpenAIChat
+  deepseek:
+    - name: deepseek-chat
+      label: DeepSeek
+  xai:
+    - name: grok-3
+      label: xAI
+  mistral:
+    - name: mistral-large-latest
+      label: Mistral
   ollama:
     - name: gpt-oss:latest
       label: Ollama GPT

pyproject.toml

@@ -24,6 +24,10 @@ dependencies = [
     # Modelli supportati e installati (aggiungere qui sotto quelli che si vogliono usare)
     "google-genai",
     "ollama",
+    "openai",
+    "mistralai",
+    "deepseek",
+    "xai",
 
     # API di exchange di criptovalute
     "coinbase-advanced-py",

src/app/configs.py

@@ -10,6 +10,10 @@ from agno.tools import Toolkit
 from agno.models.base import Model
 from agno.models.google import Gemini
 from agno.models.ollama import Ollama
+from agno.models.openai import OpenAIChat
+from agno.models.mistral import MistralChat
+from agno.models.deepseek import DeepSeek
+from agno.models.xai import xAI
 
 log = logging.getLogger(__name__)
 
@@ -19,7 +23,6 @@ class AppModel(BaseModel):
     name: str = "gemini-2.0-flash"
     label: str = "Gemini"
     model: type[Model] | None = None
-
     def get_model(self, instructions: str) -> Model:
         """
         Restituisce un'istanza del modello specificato.
@@ -54,22 +57,84 @@ class AppModel(BaseModel):
             output_schema=output_schema
         )
 
+
+
 class APIConfig(BaseModel):
     retry_attempts: int = 3
     retry_delay_seconds: int = 2
 
+
+
 class Strategy(BaseModel):
     name: str = "Conservative"
     label: str = "Conservative"
     description: str = "Focus on low-risk investments with steady returns."
 
+
+
 class ModelsConfig(BaseModel):
     gemini: list[AppModel] = [AppModel()]
+    gpt: list[AppModel] = [AppModel(name="gpt-4o", label="OpenAIChat")]
+    mistral: list[AppModel] = [AppModel(name="mistral-large-latest", label="Mistral")]
+    deepseek: list[AppModel] = [AppModel(name="deepseek-chat", label="DeepSeek")]
+    xai: list[AppModel] = [AppModel(name="grok-3", label="xAI")]
     ollama: list[AppModel] = []
 
     @property
     def all_models(self) -> list[AppModel]:
-        return self.gemini + self.ollama
+        return self.gemini + self.ollama + self.gpt + self.mistral + self.deepseek + self.xai
+
+    def validate_models(self) -> None:
+        """
+        Validate the configured models for each provider.
+        """
+        self.__validate_online_models(self.gemini, clazz=Gemini, key="GOOGLE_API_KEY")
+        self.__validate_online_models(self.gpt, clazz=OpenAIChat, key="OPENAI_API_KEY")
+        self.__validate_online_models(self.mistral, clazz=MistralChat, key="MISTRAL_API_KEY")
+        self.__validate_online_models(self.deepseek, clazz=DeepSeek, key="DEEPSEEK_API_KEY")
+        self.__validate_online_models(self.xai, clazz=xAI, key="XAI_API_KEY")
+
+        self.__validate_ollama_models()
+
+    def __validate_online_models(self, models: list[AppModel], clazz: type[Model], key: str | None = None) -> None:
+        """
+        Validate models for online providers like Gemini.
+        Args:
+            models: list of AppModel instances to validate
+            clazz: class of the model (e.g. Gemini)
+            key: API key required for the provider (optional)
+        """
+        if key and os.getenv(key) is None:
+            log.warning(f"No {key} set in environment variables for provider.")
+            models.clear()
+            return
+
+        for model in models:
+            model.model = clazz
+
+    def __validate_ollama_models(self) -> None:
+        """
+        Validate models for the Ollama provider.
+        """
+        try:
+            models_list = ollama.list()
+            availables = {model['model'] for model in models_list['models']}
+            not_availables: list[str] = []
+
+            for model in self.ollama:
+                if model.name in availables:
+                    model.model = Ollama
+                else:
+                    not_availables.append(model.name)
+            if not_availables:
+                log.warning(f"Ollama models not available: {not_availables}")
+
+            self.ollama = [model for model in self.ollama if model.model]
+
+        except Exception as e:
+            log.warning(f"Ollama is not running or not reachable: {e}")
+
+
 
 class AgentsConfigs(BaseModel):
     strategy: str = "Conservative"
@@ -118,7 +183,7 @@ class AppConfig(BaseModel):
 
         super().__init__(*args, **kwargs)
         self.set_logging_level()
-        self.validate_models()
+        self.models.validate_models()
         self._initialized = True
 
     def get_model_by_name(self, name: str) -> AppModel:
@@ -186,53 +251,3 @@ class AppConfig(BaseModel):
             logger = logging.getLogger(logger_name)
             logger.handlers.clear()
             logger.propagate = True
-
-    def validate_models(self) -> None:
-        """
-        Validate the configured models for each provider.
-        """
-        self.__validate_online_models("gemini", clazz=Gemini, key="GOOGLE_API_KEY")
-        self.__validate_ollama_models()
-
-    def __validate_online_models(self, provider: str, clazz: type[Model], key: str | None = None) -> None:
-        """
-        Validate models for online providers like Gemini.
-        Args:
-            provider: name of the provider (e.g. "gemini")
-            clazz: class of the model (e.g. Gemini)
-            key: API key required for the provider (optional)
-        """
-        if getattr(self.models, provider) is None:
-            log.warning(f"No models configured for provider '{provider}'.")
-
-        models: list[AppModel] = getattr(self.models, provider)
-        if key and os.getenv(key) is None:
-            log.warning(f"No {key} set in environment variables for {provider}.")
-            models.clear()
-            return
-
-        for model in models:
-            model.model = clazz
-
-    def __validate_ollama_models(self) -> None:
-        """
-        Validate models for the Ollama provider.
-        """
-        try:
-            models_list = ollama.list()
-            availables = {model['model'] for model in models_list['models']}
-            not_availables: list[str] = []
-
-            for model in self.models.ollama:
-                if model.name in availables:
-                    model.model = Ollama
-                else:
-                    not_availables.append(model.name)
-            if not_availables:
-                log.warning(f"Ollama models not available: {not_availables}")
-
-            self.models.ollama = [model for model in self.models.ollama if model.model]
-
-        except Exception as e:
-            log.warning(f"Ollama is not running or not reachable: {e}")
-

src/app/interface/chat.py

@@ -83,13 +83,15 @@ class ChatManager:
                     label="Modello da usare"
                 )
                 provider.change(fn=self.inputs.choose_team_leader, inputs=provider, outputs=None)
+                provider.value = self.inputs.team_leader_model.label
 
-                style = gr.Dropdown(
+                strategy = gr.Dropdown(
                     choices=self.inputs.list_strategies_names(),
                     type="index",
                     label="Stile di investimento"
                 )
-                style.change(fn=self.inputs.choose_strategy, inputs=style, outputs=None)
+                strategy.change(fn=self.inputs.choose_strategy, inputs=strategy, outputs=None)
+                strategy.value = self.inputs.strategy.label
 
             chat = gr.ChatInterface(
                 fn=self.gradio_respond