update requirements1

physics_mcp/mcp_output/mcp_plugin/mcp_service.py

@@ -5,9 +5,6 @@ source_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.pa
 sys.path.insert(0, source_path)
 
 from fastmcp import FastMCP
-from physicsnemo.active_learning.driver import Driver
-from physicsnemo.launch.logging.launch import LaunchLogger
-from physicsnemo.deploy.triton import deploy_model
 
 mcp = FastMCP("physicsnemo_service")
 
@@ -27,6 +24,8 @@ def run_active_learning_tool(config: dict, learner: object, strategies_config: d
         dict: A dictionary containing success, result, or error fields.
     """
     try:
+        # Lazy import to avoid heavy dependencies at startup
+        from physicsnemo.active_learning.driver import Driver
         driver = Driver(config, learner, strategies_config, training_config, inference_fn)
         result = driver.run()
         return {"success": True, "result": result, "error": None}
@@ -51,6 +50,8 @@ def log_minibatch_tool(name_space: str, losses: dict, epoch: int = 1, num_mini_b
         dict: A dictionary containing success, result, or error fields.
     """
     try:
+        # Lazy import to avoid heavy dependencies at startup
+        from physicsnemo.launch.logging.launch import LaunchLogger
         logger = LaunchLogger(name_space, epoch, num_mini_batch, profile, mini_batch_log_freq, epoch_alert_freq)
         logger.log_minibatch(losses)
         return {"success": True, "result": "Mini-batch logged successfully.", "error": None}
@@ -70,6 +71,8 @@ def deploy_model_tool(model_path: str, config_path: str) -> dict:
         dict: A dictionary containing success, result, or error fields.
     """
     try:
+        # Lazy import to avoid heavy dependencies at startup
+        from physicsnemo.deploy.triton import deploy_model
         result = deploy_model(model_path, config_path)
         return {"success": True, "result": result, "error": None}
     except Exception as e:

physics_mcp/mcp_output/requirements.txt

@@ -26,13 +26,20 @@ pandas
 pyyaml>=6.0
 
 # Optional Dependencies (can be uncommented as needed)
-# cuml>=24.0.0  (requires RAPIDS conda channel - use scipy fallback instead)
+# Launch dependencies (required only by log_minibatch and run_active_learning tools)
+# hydra-core>=1.2.0
+# termcolor>=2.1.1
 # wandb>=0.13.7
 # mlflow>=2.1.1
-# dgl
-# pyg
+# imageio>=2.28.1
+# moviepy>=1.0.3
+
+# Other optional dependencies
+# cuml>=24.0.0  (requires RAPIDS conda channel - use scipy fallback instead)
 # torch-harmonics>=0.6.5
 # tensorly>=0.8.1
+# dgl
+# pyg
 # vtk>=9.2.6
 # netCDF4>=1.6.3
 # h5py>=3.7.0