fix(telemetry): avoid global plugin enumeration in workspace snapshots and support model adapters

src/langbot/pkg/telemetry/heartbeat.py

@@ -189,10 +189,10 @@ async def build_heartbeat_payload(
             cloud_counter=lambda: len(ap.platform_mgr._bots_by_key),
         )
 
-    # Plugin count (from plugin runtime)
+    # Scoped Cloud counts are already available; never issue tenantless RPCs.
     try:
         plugin_connector = getattr(ap, 'plugin_connector', None)
-        if plugin_connector is not None:
+        if workspace_resource is None and plugin_connector is not None:
             plugins = await plugin_connector.list_plugins()
             features['plugin_count'] = len(plugins)
     except Exception:

src/langbot/pkg/telemetry/platform.py

@@ -117,5 +117,7 @@ def observe_adapter(ap, context, adapter):
 
             return wrapped
 
-        setattr(adapter, name, make_wrapper(original, name))
-    setattr(adapter, '_execution_observed', True)
+        # Adapters are Pydantic models: method instrumentation is not a model
+        # field assignment. Keep wrappers instance-local, never on the class.
+        object.__setattr__(adapter, name, make_wrapper(original, name))
+    object.__setattr__(adapter, '_execution_observed', True)