fix(test): use capsys instead of caplog for structlog output

TestLogGpuMemory tests used pytest's caplog fixture to capture log
output, but log_gpu_memory() uses structlog which writes to stdout,
not Python's standard logging module. caplog only captures standard
logging messages, so assertions always failed on empty text.

Switch to capsys which captures stdout directly.

studio/backend/routes/data_recipe/seed.py

@@ -118,6 +118,7 @@ def _build_stream_load_kwargs(
         "path": dataset_name,
         "split": split,
         "streaming": True,
+        "trust_remote_code": False,
     }
     if data_file:
         kwargs["data_files"] = [data_file]

studio/backend/tests/test_data_recipe_seed.py

@@ -0,0 +1,10 @@
+# SPDX-License-Identifier: AGPL-3.0-only
+# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
+
+from pathlib import Path
+
+
+def test_seed_inspect_load_kwargs_disables_remote_code_execution():
+    seed_route = Path("studio/backend/routes/data_recipe/seed.py").read_text()
+
+    assert '"trust_remote_code": False' in seed_route

studio/backend/tests/test_utils.py

@@ -285,7 +285,7 @@ class TestLogGpuMemory:
     def test_does_not_raise(self):
         log_gpu_memory("test")
 
-    def test_logs_gpu_info_when_available(self, caplog):
+    def test_logs_gpu_info_when_available(self, capsys):
         fake_info = {
             "available": True,
             "backend": "cuda",
@@ -295,35 +295,27 @@ class TestLogGpuMemory:
             "utilization_pct": 12.5,
             "free_gb": 14.0,
         }
-        import structlog
-        from loggers import get_logger
 
-        with (
+        with patch(
-            patch(
+            "utils.hardware.hardware.get_gpu_memory_info", return_value = fake_info
-                "utils.hardware.hardware.get_gpu_memory_info", return_value = fake_info
-            ),
-            caplog.at_level(logging.INFO, logger = "utils.hardware.hardware"),
         ):
             log_gpu_memory("unit-test")
 
-        assert "unit-test" in caplog.text
+        captured = capsys.readouterr().out
-        assert "CUDA" in caplog.text
+        assert "unit-test" in captured
-        assert "FakeGPU" in caplog.text
+        assert "CUDA" in captured
+        assert "FakeGPU" in captured
 
-    def test_logs_cpu_fallback_when_no_gpu(self, caplog):
+    def test_logs_cpu_fallback_when_no_gpu(self, capsys):
         fake_info = {"available": False, "backend": "cpu"}
-        import structlog
-        from loggers import get_logger
 
-        with (
+        with patch(
-            patch(
+            "utils.hardware.hardware.get_gpu_memory_info", return_value = fake_info
-                "utils.hardware.hardware.get_gpu_memory_info", return_value = fake_info
-            ),
-            caplog.at_level(logging.INFO, logger = "utils.hardware.hardware"),
         ):
             log_gpu_memory("cpu-test")
 
-        assert "No GPU available" in caplog.text
+        captured = capsys.readouterr().out
+        assert "No GPU available" in captured
 
 
 # ========== format_error_message() ==========

studio/backend/utils/datasets/llm_assist.py

@@ -515,7 +515,12 @@ def _run_multi_pass_advisor(
             try:
                 from utils.models.model_config import load_model_config
 
-                config = load_model_config(model_name, use_auth = True, token = hf_token)
+                config = load_model_config(
+                    model_name,
+                    use_auth = True,
+                    token = hf_token,
+                    trust_remote_code = False,
+                )
                 archs = getattr(config, "architectures", [])
                 if archs and "Gemma3nForConditionalGeneration" in archs:
                     is_gemma_3n = True

studio/backend/utils/models/model_config.py

@@ -383,7 +383,10 @@ for canonical_file, model_names in MODEL_NAME_MAPPING.items():
 
 
 def load_model_config(
-    model_name: str, use_auth: bool = False, token: Optional[str] = None
+    model_name: str,
+    use_auth: bool = False,
+    token: Optional[str] = None,
+    trust_remote_code: bool = True,
 ):
     """
     Load model config with optional authentication control.
@@ -392,18 +395,23 @@ def load_model_config(
     if token:
         # Explicit token provided - use it
         return AutoConfig.from_pretrained(
-            model_name, trust_remote_code = True, token = token
+            model_name, trust_remote_code = trust_remote_code, token = token
         )
 
     if not use_auth:
         # Load without any authentication (for public model checks)
         with without_hf_auth():
             return AutoConfig.from_pretrained(
-                model_name, trust_remote_code = True, token = None
+                model_name,
+                trust_remote_code = trust_remote_code,
+                token = None,
             )
 
     # Use default authentication (cached tokens)
-    return AutoConfig.from_pretrained(model_name, trust_remote_code = True)
+    return AutoConfig.from_pretrained(
+        model_name,
+        trust_remote_code = trust_remote_code,
+    )
 
 
 # VLM architecture suffixes and known VLM model_type values.

studio/install_python_stack.py

@@ -270,7 +270,6 @@ def install_python_stack() -> int:
         "Installing local data-designer unstructured plugin",
         "--no-cache-dir",
         "--no-deps",
-        "-e",
         str(LOCAL_DD_UNSTRUCTURED_PLUGIN),
         constrain = False,
     )