fix(models): type extended_attributes as list[AttributeSpec] in ScenarioSpec

extended_attributes was typed as list[Any], so pydantic deserialized them
as raw dicts from YAML. This caused sampling_order merge to silently skip
all extended attributes (hasattr(dict, "name") is False). Typing the field
as list[AttributeSpec] ensures pydantic auto-converts dicts on load.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: RandomOscillations

extropy/cli/commands/sample.py

@@ -132,7 +132,7 @@ def sample_command(
     # Compute merged sampling order
     merged_sampling_order = list(pop_spec.sampling_order)
     for attr in extended_attrs:
-        if hasattr(attr, "name") and attr.name not in merged_sampling_order:
+        if attr.name not in merged_sampling_order:
             merged_sampling_order.append(attr.name)
 
     # Create merged spec for sampling

extropy/core/models/scenario.py

@@ -22,6 +22,8 @@
 import yaml
 from pydantic import BaseModel, Field
 
+from .population import AttributeSpec
+
 if TYPE_CHECKING:
     pass
 
@@ -354,7 +356,7 @@ class ScenarioSpec(BaseModel):
         description="Scenario-specific edge weights for conversation priority and peer ordering",
     )
     # Extended attributes from scenario (new CLI flow)
-    extended_attributes: list[Any] | None = Field(
+    extended_attributes: list[AttributeSpec] | None = Field(
         default=None,
         description="Scenario-specific attributes that extend the base population",
     )