[codex] Fix Ollama package import regression

eslint.config.js

@@ -28,4 +28,15 @@ export default tseslint.config(
       '@typescript-eslint/no-explicit-any': 'off',
     },
   },
+  {
+    files: ['**/*.mjs'],
+    languageOptions: {
+      ecmaVersion: 2022,
+      sourceType: 'module',
+      globals: {
+        ...globals.node,
+        ...globals.es2022,
+      },
+    },
+  },
 );

reports/stress/master_summary.json

@@ -64,6 +64,7 @@
     "latency_stability": 0.8,
     "memory_integrity": 0.9,
     "contract_obedience": 0.95,
+
     "ambiguity_handling": 0.9,
     "resource_efficiency": 0.75,
     "privacy_boundary_integrity": 1,

server/nano_server.py

@@ -15,8 +15,8 @@
 from datetime import datetime, timezone
 from urllib.parse import urlparse, parse_qs
 
-from ollama_client import OllamaClient, OllamaError
-from runtime_profiles import build_bootstrap_commands, list_runtime_profiles, recommend_runtime_profile
+from server.ollama_client import OllamaClient, OllamaError
+from server.runtime_profiles import build_bootstrap_commands, list_runtime_profiles, recommend_runtime_profile
 
 DEFAULT_PORT = 8083
 LOCAL_HOSTS = {"127.0.0.1", "localhost", "::1"}
@@ -1807,3 +1807,4 @@ def main():
 
 if __name__ == '__main__':
     main()
+

server/ollama_client.py

@@ -8,7 +8,7 @@
 from urllib.parse import urljoin
 from urllib.request import Request, urlopen
 
-from extraction_presets import get_extraction_preset, render_extraction_markdown
+from server.extraction_presets import get_extraction_preset, render_extraction_markdown
 
 
 def _json_loads_maybe(value: Any) -> Any:
@@ -108,7 +108,7 @@ def __init__(self, config: OllamaConfig | None = None):
             runtime_profile = os.environ.get("CHROMEAI_RUNTIME_PROFILE", "auto")
 
             try:
-                from runtime_profiles import get_runtime_profile, recommend_runtime_profile
+                from server.runtime_profiles import get_runtime_profile, recommend_runtime_profile
 
                 recommendation = recommend_runtime_profile()
                 resolved_profile = recommendation["recommended_profile"] if runtime_profile == "auto" else runtime_profile

server/runtime_profiles.py

@@ -132,3 +132,4 @@ def build_bootstrap_commands(profile_key: str, project_root: str | Path) -> dict
         "generation_model": profile.generation_model,
         "embedding_model": profile.embedding_model,
     }
+

tests/server/test_ollama_client.py

@@ -0,0 +1,39 @@
+from __future__ import annotations
+
+import os
+import unittest
+from unittest.mock import patch
+
+from server.ollama_client import OllamaClient
+
+
+class OllamaClientTests(unittest.TestCase):
+    def test_client_uses_runtime_profile_defaults_when_imported_as_package(self) -> None:
+        with patch.dict(
+            os.environ,
+            {
+                "CHROMEAI_RUNTIME_PROFILE": "auto",
+                "CHROMEAI_OLLAMA_BASE_URL": "http://127.0.0.1:11434",
+            },
+            clear=True,
+        ):
+            with patch("server.runtime_profiles.recommend_runtime_profile", return_value={"recommended_profile": "balanced"}):
+                with patch("server.runtime_profiles.get_runtime_profile") as get_profile_mock:
+                    get_profile_mock.return_value = type(
+                        "Profile",
+                        (),
+                        {
+                            "generation_model": "qwen2.5:3b",
+                            "embedding_model": "nomic-embed-text",
+                        },
+                    )()
+
+                    client = OllamaClient()
+
+        self.assertEqual(client.config.model, "qwen2.5:3b")
+        self.assertEqual(client.config.embed_model, "nomic-embed-text")
+        get_profile_mock.assert_called_once_with("balanced")
+
+
+if __name__ == "__main__":
+    unittest.main()