fix(ai): refresh Groq recommendations and remove unavailable OpenRouter models

AppImage/config/verified_ai_models.json

@@ -110,12 +110,10 @@
       "openai/gpt-oss-120b",
       "meta-llama/llama-3.1-8b-instruct",
       "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
-      "nvidia/nemotron-3-super-120b-a12b:free",
+      "google/gemma-4-26b-a4b-it:free"
-      "google/gemma-4-26b-a4b-it:free",
-      "poolside/laguna-s-2.1:free"
     ],
     "recommended": "meta-llama/llama-3.3-70b-instruct",
-    "_note": "Curated manually from the 249+ models OpenRouter serves — the auto-verifier passes ~200 today but only a subset are practical for notification translation. Includes the 11 previously-curated paid models plus 22 new mainstream additions (gpt-5.1, claude-opus-4.8, sonnet-5, grok-4.3/4.20, kimi-k2, deepseek-v3.2, nova, cohere-a, sonar, ...) and 6 `:free` variants re-added manually — the free tier is intentionally supported per user request even though today's rate limits blocked some of them from passing the test. Reviewed 2026-10-26: three `:free` variants no longer served by OpenRouter were dropped."
+    "_note": "Curated manually from the 249+ models OpenRouter serves — the auto-verifier passes ~200 today but only a subset are practical for notification translation. Includes the 11 previously-curated paid models plus 22 new mainstream additions (gpt-5.1, claude-opus-4.8, sonnet-5, grok-4.3/4.20, kimi-k2, deepseek-v3.2, nova, cohere-a, sonar, ...) and 6 `:free` variants re-added manually — the free tier is intentionally supported per user request even though today's rate limits blocked some of them from passing the test. Reviewed 2026-10-26: three `:free` variants no longer served by OpenRouter were dropped. Availability reviewed 2026-11-04 against the public models endpoint: expired poolside/laguna-s-2.1:free and unlisted nvidia/nemotron-3-super-120b-a12b:free removed. This availability check is not a new inference verification; no untested models were added."
   },
   "ollama": {
     "_note": "Ollama models are local, we don't filter them. User manages their own models.",

AppImage/scripts/ai_providers/groq_provider.py

@@ -21,8 +21,13 @@ class GroqProvider(AIProvider):
     # Exclude non-chat models
     EXCLUDED_PATTERNS = ['whisper', 'tts', 'guard', 'tool-use']
     
-    # Recommended models (in priority order - versatile/large models first)
+    # Prefer the verified default and current GPT-OSS models. Llama remains
-    RECOMMENDED_PREFIXES = ['llama-3.3', 'llama-3.1-70b', 'llama-3.1-8b', 'mixtral', 'gemma']
+    # available for accounts with access; retired Mixtral/Gemma families have
+    # no recommendation priority. Sorting never adds IDs to the API response.
+    RECOMMENDED_PREFIXES = [
+        'openai/gpt-oss-20b', 'openai/gpt-oss-120b', 'qwen/qwen3.8-27b',
+        'llama-3.3', 'llama-3.1-8b',
+    ]
     
     def list_models(self) -> List[str]:
         """List available Groq models for chat completions.

AppImage/scripts/tests/test_groq_model_recommendations.py

@@ -0,0 +1,52 @@
+"""Provider model ordering and curated availability, without credentials/network."""
+import io
+import json
+from pathlib import Path
+import sys
+import unittest
+from unittest.mock import patch
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+from ai_providers.groq_provider import GroqProvider
+
+
+class GroqModelRecommendationsTests(unittest.TestCase):
+    def fetch(self, ids):
+        response = io.BytesIO(json.dumps({'data': [{'id': model} for model in ids]}).encode())
+        with patch('ai_providers.groq_provider.urllib.request.urlopen', return_value=response) as request:
+            models = GroqProvider(api_key='fixture-only').list_models()
+        self.assertEqual(request.call_args.kwargs['timeout'], 10)
+        return models
+
+    def test_current_verified_models_precede_legacy_and_unknown_families(self):
+        listed = ['mixtral-fixture', 'allam-2-7b', 'llama-3.3-70b-versatile',
+                  'openai/gpt-oss-120b', 'qwen/qwen3.8-27b', 'openai/gpt-oss-20b']
+        self.assertEqual(self.fetch(listed)[:3],
+                         ['openai/gpt-oss-20b', 'openai/gpt-oss-120b', 'qwen/qwen3.8-27b'])
+        self.assertCountEqual(self.fetch(listed), listed)
+
+    def test_recommendations_never_invent_models_or_remove_arabic_model(self):
+        self.assertEqual(self.fetch(['allam-2-7b']), ['allam-2-7b'])
+        self.assertEqual(self.fetch([]), [])
+
+    def test_non_chat_models_still_excluded(self):
+        self.assertEqual(self.fetch(['whisper-large-v3', 'llama-prompt-guard-2-22m',
+                                     'openai/gpt-oss-20b']), ['openai/gpt-oss-20b'])
+
+    def test_missing_credentials_do_not_fetch_models(self):
+        with patch('ai_providers.groq_provider.urllib.request.urlopen') as request:
+            self.assertEqual(GroqProvider().list_models(), [])
+        request.assert_not_called()
+
+    def test_curated_catalog_keeps_verified_default_and_removes_unavailable_free_ids(self):
+        catalog = json.loads((Path(__file__).resolve().parents[2] / 'config/verified_ai_models.json').read_text())
+        self.assertEqual(GroqProvider.RECOMMENDED_PREFIXES[0], catalog['groq']['recommended'])
+        for provider in ('groq', 'openrouter'):
+            self.assertIn(catalog[provider]['recommended'], catalog[provider]['models'])
+        self.assertNotIn('poolside/laguna-s-2.1:free', catalog['openrouter']['models'])
+        self.assertNotIn('nvidia/nemotron-3-super-120b-a12b:free', catalog['openrouter']['models'])
+        self.assertIn('allam-2-7b', catalog['groq']['models'])
+
+
+if __name__ == '__main__':
+    unittest.main()