fix: harden task recovery and DR contract handling

robobrain/robot_robobrain/model_adapter.py

@@ -4,10 +4,28 @@ loader is a deployment-pinned callable returning the already loaded model.
 No guessed vendor import, checkpoint download, remote code execution flag or CUDA map.
 """
 import importlib
+import re
 
 def create(config):
+    if not isinstance(config,dict) or not isinstance(config.get('loader'),str) or not re.fullmatch(r'[A-Za-z_]\w*(?:\.[A-Za-z_]\w*)*:[A-Za-z_]\w*',config['loader']):
+        raise ValueError('loader must name a deployment-provided module:callable')
+    mapping=config.get('task_mapping')
+    if not isinstance(mapping,dict) or not mapping or any(not isinstance(value,str) or not value.strip() for value in mapping.values()):
+        raise ValueError('task_mapping must contain deployment-validated model tasks')
+    if 'dense_feedback' in mapping:
+        raise ValueError('dense feedback requires a deployment-provided multi-frame adapter; this adapter accepts a single image')
+    if set(mapping)-{'plan','shelf','localize3d'}:
+        raise ValueError('unsupported capability in task_mapping')
+    if not isinstance(config.get('model'),dict):
+        raise ValueError('model must contain deployment-provided loading configuration')
     module,name=config['loader'].split(':',1)
-    model=getattr(importlib.import_module(module),name)(config['model'])
+    try:loader=getattr(importlib.import_module(module),name)
+    except (ImportError,AttributeError) as ex:
+        raise ValueError('deployment model loader unavailable: '+config['loader']) from ex
+    if not callable(loader):raise ValueError('deployment model loader is not callable')
+    model=loader(config['model'])
+    if not callable(getattr(model,'inference',None)):
+        raise ValueError('deployment model must expose inference(prompt, image, task=...)')
     def infer(request):
         capability=request['capability']
         task=config.get('task_mapping',{}).get(capability)