Fix: Update Gemini model names, pin dependencies, use proven MCP endpoint

- Fixed invalid model names: gemini-2.5-flash-lite-preview -> gemini-2.0-flash
- Fixed typo: gemini-2.5-flash-lite-lite -> gemini-2.0-flash
- Updated requirements.txt with version pinning
- Changed default MCP endpoint to proven: nlarchive-mcp-server-finder-monitor
- Compatible with latest google-genai SDK (v1.52.0)

agent.py

@@ -413,7 +413,7 @@ class AsyncPersistentMCPClient:
             except Exception as e:
                 print(f"AsyncPersistentMCPClient: General error during disconnect for {self.url}: {e}")
 
-def get_mcp_client(url: str = "https://NLarchive-Agent-client-multi-mcp-SKT.hf.space/gradio_api/mcp/sse") -> AsyncPersistentMCPClient:
+def get_mcp_client(url: str = "https://nlarchive-mcp-server-finder-monitor.hf.space/gradio_api/mcp/sse") -> AsyncPersistentMCPClient:
     """Get or create an MCP client with enhanced global connection pooling."""
     # Phase 2 Optimization: Use global connection pool
     with _global_connection_lock:

app.py

@@ -53,7 +53,7 @@ def validate_and_set_api_key(api_key, is_user_provided=True):
         initialize()
         
         # Make a simple test call to verify the API key works
-        test_response = generate_content("Hello", model_name="gemini-2.5-flash-lite-preview")
+        test_response = generate_content("Hello", model_name="gemini-2.0-flash")
         
         # If we get here, the API key works
         with _api_key_lock:

inference.py

@@ -31,7 +31,7 @@ def generate_content(prompt: str, model_name: str = None, allow_fallbacks: bool
 
     Args:
         prompt: The prompt to send to the model.
-        model_name: The name of the model to use (e.g., "gemini-2.5-flash-lite", "gemini-2.5-flash-lite-preview").
+        model_name: The name of the model to use (e.g., "gemini-2.0-flash", "gemini-2.5-flash").
                     If None, a default model will be used.
         allow_fallbacks: (Currently not directly used by genai.Client.models.generate_content,
                          but kept for compatibility with agent.py structure)
@@ -49,7 +49,7 @@ def generate_content(prompt: str, model_name: str = None, allow_fallbacks: bool
              raise RuntimeError("Google Generative AI client is not initialized. Call initialize() first.")
 
     # Default model if not specified
-    effective_model_name = model_name if model_name else "gemini-2.5-flash-lite-lite"
+    effective_model_name = model_name if model_name else "gemini-2.0-flash"
 
     # Prepare generation configuration for the API
     config_obj = None
@@ -93,7 +93,7 @@ if __name__ == '__main__':
 
             sample_prompt_2 = "What is the capital of France?"
             print(f"\nSending prompt: '{sample_prompt_2}'")
-            generated_text_2 = generate_content(sample_prompt_2, model_name="gemini-2.5-flash-lite-lite") # Example with a different model
+            generated_text_2 = generate_content(sample_prompt_2, model_name="gemini-2.0-flash") # Example with a different model
             print("\nGenerated text:")
             print(generated_text_2)
     except Exception as e:

requirements.txt

@@ -1,7 +1,7 @@
-gradio[mcp]
-smolagents[mcp]
-google-genai 
-python-dotenv
-networkx
-matplotlib
-numpy 
+gradio[mcp]>=5.0.0
+smolagents[mcp]>=1.0.0
+google-genai>=1.0.0
+python-dotenv>=1.0.0
+networkx>=3.0
+matplotlib>=3.7.0
+numpy>=1.24.0