Filter CLI-only parameters before optimization

code/free_embedding_experiment.py

@@ -37,6 +37,7 @@
 """
 
 import datetime
+import inspect
 import itertools
 import json
 import os
@@ -516,8 +517,13 @@ def run_experiment_base(config_params: Dict[str, Any]) -> Dict[str, Any]:
   }
 
   opt_start = time.time()
-  params_for_opt = dict(config_params)
-  params_for_opt.pop("q", None)
+  optimize_param_names = set(inspect.signature(optimize_embeddings).parameters)
+  optimize_param_names.difference_update(("experiment_data", "q"))
+  params_for_opt = {
+      name: value
+      for name, value in config_params.items()
+      if name in optimize_param_names
+  }
   opt_results = optimize_embeddings(
       experiment_data=experiment_data, q=len(qrels), **params_for_opt
   )

code/free_embedding_experiment_test.py

@@ -0,0 +1,45 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Tests for the free embedding experiment."""
+
+import unittest
+
+import free_embedding_experiment as experiment
+
+
+class RunExperimentBaseTest(unittest.TestCase):
+
+  def test_cli_only_parameters_are_not_forwarded(self):
+    config = {
+        **experiment.DEFAULT_EXPERIMENT_PARAMS,
+        "n": 3,
+        "d": 2,
+        "k": 1,
+        "device": "cpu",
+        "num_iterations": 1,
+        "show_progress": False,
+        "log_interval": 1,
+        "results_output_path": "results.json",
+        "enable_critical_n_search": 3,
+    }
+
+    result = experiment.run_experiment_base(config)
+
+    self.assertNotIn("error", result["metrics"])
+    self.assertEqual(result["parameters"], config)
+
+
+if __name__ == "__main__":
+  unittest.main()