fix: issue #176 Update python version to 3.10

pyproject.toml

@@ -8,7 +8,7 @@ packages = [
     { include = "src", from = "." }
 ]
 [tool.poetry.dependencies]
-python = "^3.9"
+python = "^3.10"
 langchain = "0.3.0"
 langchain-anthropic = "0.3.5"
 langchain-groq = "0.2.3"

src/llm/models.py

@@ -11,113 +11,65 @@
 
 class ModelProvider(str, Enum):
     """Enum for supported LLM providers"""
+
     ANTHROPIC = "Anthropic"
     DEEPSEEK = "DeepSeek"
     GEMINI = "Gemini"
     GROQ = "Groq"
     OPENAI = "OpenAI"
 
 
-
 class LLMModel(BaseModel):
     """Represents an LLM model configuration"""
+
     display_name: str
     model_name: str
     provider: ModelProvider
 
     def to_choice_tuple(self) -> Tuple[str, str, str]:
         """Convert to format needed for questionary choices"""
         return (self.display_name, self.model_name, self.provider.value)
-    
+
     def has_json_mode(self) -> bool:
         """Check if the model supports JSON mode"""
         return not self.is_deepseek() and not self.is_gemini()
-    
+
     def is_deepseek(self) -> bool:
         """Check if the model is a DeepSeek model"""
         return self.model_name.startswith("deepseek")
-    
+
     def is_gemini(self) -> bool:
         """Check if the model is a Gemini model"""
         return self.model_name.startswith("gemini")
 
 
 # Define available models
 AVAILABLE_MODELS = [
-    LLMModel(
-        display_name="[anthropic] claude-3.5-haiku",
-        model_name="claude-3-5-haiku-latest",
-        provider=ModelProvider.ANTHROPIC
-    ),
-    LLMModel(
-        display_name="[anthropic] claude-3.5-sonnet",
-        model_name="claude-3-5-sonnet-latest",
-        provider=ModelProvider.ANTHROPIC
-    ),
-    LLMModel(
-        display_name="[anthropic] claude-3.7-sonnet",
-        model_name="claude-3-7-sonnet-latest",
-        provider=ModelProvider.ANTHROPIC
-    ),
-    LLMModel(
-        display_name="[deepseek] deepseek-r1",
-        model_name="deepseek-reasoner",
-        provider=ModelProvider.DEEPSEEK
-    ),
-    LLMModel(
-        display_name="[deepseek] deepseek-v3",
-        model_name="deepseek-chat",
-        provider=ModelProvider.DEEPSEEK
-    ),
-    LLMModel(
-        display_name="[gemini] gemini-2.0-flash",
-        model_name="gemini-2.0-flash",
-        provider=ModelProvider.GEMINI
-    ),
-    LLMModel(
-        display_name="[gemini] gemini-2.5-pro",
-        model_name="gemini-2.5-pro-exp-03-25",
-        provider=ModelProvider.GEMINI
-    ),
-    LLMModel(
-        display_name="[groq] llama-3.3 70b",
-        model_name="llama-3.3-70b-versatile",
-        provider=ModelProvider.GROQ
-    ),
-    LLMModel(
-        display_name="[groq] llama-4-scout",
-        model_name="meta-llama/llama-4-scout-17b-16e-instruct",
-        provider=ModelProvider.GROQ
-    ),
-    LLMModel(
-        display_name="[openai] gpt-4.5",
-        model_name="gpt-4.5-preview",
-        provider=ModelProvider.OPENAI
-    ),
-    LLMModel(
-        display_name="[openai] gpt-4o",
-        model_name="gpt-4o",
-        provider=ModelProvider.OPENAI
-    ),
-    LLMModel(
-        display_name="[openai] o1",
-        model_name="o1",
-        provider=ModelProvider.OPENAI
-    ),
-    LLMModel(
-        display_name="[openai] o3-mini",
-        model_name="o3-mini",
-        provider=ModelProvider.OPENAI
-    ),
+    LLMModel(display_name="[anthropic] claude-3.5-haiku", model_name="claude-3-5-haiku-latest", provider=ModelProvider.ANTHROPIC),
+    LLMModel(display_name="[anthropic] claude-3.5-sonnet", model_name="claude-3-5-sonnet-latest", provider=ModelProvider.ANTHROPIC),
+    LLMModel(display_name="[anthropic] claude-3.7-sonnet", model_name="claude-3-7-sonnet-latest", provider=ModelProvider.ANTHROPIC),
+    LLMModel(display_name="[deepseek] deepseek-r1", model_name="deepseek-reasoner", provider=ModelProvider.DEEPSEEK),
+    LLMModel(display_name="[deepseek] deepseek-v3", model_name="deepseek-chat", provider=ModelProvider.DEEPSEEK),
+    LLMModel(display_name="[gemini] gemini-2.0-flash", model_name="gemini-2.0-flash", provider=ModelProvider.GEMINI),
+    LLMModel(display_name="[gemini] gemini-2.5-pro", model_name="gemini-2.5-pro-exp-03-25", provider=ModelProvider.GEMINI),
+    LLMModel(display_name="[groq] llama-3.3 70b", model_name="llama-3.3-70b-versatile", provider=ModelProvider.GROQ),
+    LLMModel(display_name="[groq] llama-4-scout", model_name="meta-llama/llama-4-scout-17b-16e-instruct", provider=ModelProvider.GROQ),
+    LLMModel(display_name="[groq] Qwen QwQ 32B", model_name="Qwen/QwQ-32B", provider=ModelProvider.GROQ),
+    LLMModel(display_name="[openai] gpt-4.5", model_name="gpt-4.5-preview", provider=ModelProvider.OPENAI),
+    LLMModel(display_name="[openai] gpt-4o", model_name="gpt-4o", provider=ModelProvider.OPENAI),
+    LLMModel(display_name="[openai] o1", model_name="o1", provider=ModelProvider.OPENAI),
+    LLMModel(display_name="[openai] o3-mini", model_name="o3-mini", provider=ModelProvider.OPENAI),
 ]
 
 # Create LLM_ORDER in the format expected by the UI
 LLM_ORDER = [model.to_choice_tuple() for model in AVAILABLE_MODELS]
 
+
 def get_model_info(model_name: str) -> LLMModel | None:
     """Get model information by model_name"""
     return next((model for model in AVAILABLE_MODELS if model.model_name == model_name), None)
 
+
 def get_model(model_name: str, model_provider: ModelProvider) -> ChatOpenAI | ChatGroq | None:
     if model_provider == ModelProvider.GROQ:
         api_key = os.getenv("GROQ_API_KEY")
@@ -151,4 +103,4 @@ def get_model(model_name: str, model_provider: ModelProvider) -> ChatOpenAI | Ch
         if not api_key:
             print(f"API Key Error: Please make sure GOOGLE_API_KEY is set in your .env file.")
             raise ValueError("Google API key not found.  Please make sure GOOGLE_API_KEY is set in your .env file.")
-        return ChatGoogleGenerativeAI(model=model_name, api_key=api_key)
+        return ChatGoogleGenerativeAI(model=model_name, api_key=api_key)