Clean up on Google AI Studio, or on Antigravity

OpenRouter's free tier rate-limits and carries no free Gemini model, and
cleaning up through Claude Code costs a fixed few seconds because it opens
a whole CLI session to drop three "uh"s. Google's own free tier suits a
short, frequent request, and its OpenAI-compatible endpoint answers
/chat/completions, so cleanup there is one request and the same code path
OpenRouter already takes.

The one thing that is not shared is the thinking level. Google reads
OpenAI's flat reasoning_effort rather than OpenRouter's object, and "none"
is how thinking is turned off, so it is sent rather than skipped: a Flash
model left to think spends exactly the second this provider was chosen to
save. Its top two rungs land on "high", which is as far as Google goes.

Speech to text stays where it was. That endpoint has no
/audio/transcriptions behind it, audio only goes in as base64 inside a
chat message, and what comes back has none of the segment times a subtitle
file or a meeting transcript is built out of.

Antigravity joins as well, on cleanup and as an agent. It is a CLI like the
other two and costs the same session, so it is here for people who already
pay for it rather than as an answer to the speed. It takes neither an empty
tool list nor a read-only sandbox, and cleanup.py now says so plainly
instead of implying parity; what it gets is a project of its own, the home
directory, and its slash commands off.

Three things were already wrong and are fixed on the way past, because the
new providers walk the same paths: doctor raised KeyError on the local
model, whose executable is ""; the history recorded Claude's model whoever
answered; and every agent row read "asked Claude".

Co-Authored-By: Claude Opus 5 <[email protected]>

tests/test_api.py

@@ -384,6 +384,37 @@ class Cleanup(DikteTest):
         self.assertEqual(sent_json(calls[0])["reasoning"],
                          {"effort": "high", "exclude": True})
 
+    def test_gemini_takes_openai_s_flat_field_rather_than_the_object(self):
+        _, calls = self.call(chat_reply("Hello."), reasoning="low",
+                             provider="gemini", service="Google AI Studio")
+        payload = sent_json(calls[0])
+        self.assertEqual(payload["reasoning_effort"], "low")
+        self.assertNotIn("reasoning", payload)
+
+    def test_gemini_is_told_to_stop_thinking_rather_than_left_alone(self):
+        """"none" is the one level worth sending: Flash thinks by default."""
+        _, calls = self.call(chat_reply("Hello."), reasoning="none",
+                             provider="gemini", service="Google AI Studio")
+        self.assertEqual(sent_json(calls[0])["reasoning_effort"], "none")
+
+    def test_a_rung_google_does_not_have_lands_on_the_nearest_one(self):
+        for asked in ("xhigh", "max"):
+            with self.subTest(asked=asked):
+                _, calls = self.call(chat_reply("Hello."), reasoning=asked,
+                                     provider="gemini", service="Google AI Studio")
+                self.assertEqual(sent_json(calls[0])["reasoning_effort"], "high")
+
+    def test_gemini_left_on_the_model_s_own_default_is_told_nothing(self):
+        _, calls = self.call(chat_reply("Hello."), provider="gemini",
+                             service="Google AI Studio")
+        self.assertNotIn("reasoning_effort", sent_json(calls[0]))
+
+    def test_a_missing_gemini_key_says_google_ai_studio(self):
+        with self.assertRaises(api.ApiError) as caught:
+            api.cleanup("hello", "", "gemini-3.5-flash-lite", "prompt",
+                        provider="gemini", service="Google AI Studio")
+        self.assertIn("Google AI Studio", str(caught.exception))
+
     def test_a_local_base_url(self):
         _, calls = self.call(chat_reply("Hello."), base_url="http://localhost:1234/v1")
         self.assertEqual(calls[0].full_url, "http://localhost:1234/v1/chat/completions")
@@ -513,6 +544,40 @@ class ModelLists(DikteTest):
             api.openai_models("", api.GROQ_URL, "Groq")
         self.assertIn("Groq", str(caught.exception))
 
+    def test_gemini_keeps_only_the_models_that_answer_a_chat_request(self):
+        with fake_urlopen({"data": [{"id": "gemini-3.5-flash"},
+                                    {"id": "text-embedding-004"},
+                                    {"id": "imagen-4.0"},
+                                    {"id": "gemini-2.5-flash-lite"}]}) as calls:
+            models = api.gemini_models("AIza-test")
+        self.assertEqual(calls[0].full_url,
+                         "https://generativelanguage.googleapis.com/v1beta/openai/models")
+        self.assertEqual(models, ["gemini-2.5-flash-lite", "gemini-3.5-flash"])
+
+    def test_the_long_form_of_an_id_is_shortened_to_what_a_request_wants(self):
+        with fake_urlopen({"data": [{"id": "models/gemini-3.5-flash-lite"}]}):
+            self.assertEqual(api.gemini_models("AIza-test"),
+                             ["gemini-3.5-flash-lite"])
+
+    def test_a_gemini_id_that_is_not_a_chat_model_is_left_out(self):
+        """Google names its pictures and its voices `gemini` too."""
+        with fake_urlopen({"data": [{"id": "gemini-3.5-flash"},
+                                    {"id": "gemini-embedding-001"},
+                                    {"id": "gemini-2.5-flash-image"},
+                                    {"id": "gemini-2.5-flash-preview-tts"},
+                                    {"id": "gemini-2.5-native-audio"}]}):
+            self.assertEqual(api.gemini_models("AIza-test"), ["gemini-3.5-flash"])
+
+    def test_gemini_sends_the_key_as_a_bearer_token(self):
+        with fake_urlopen({"data": []}) as calls:
+            api.gemini_models("AIza-test")
+        self.assertEqual(calls[0].get_header("Authorization"), "Bearer AIza-test")
+
+    def test_a_missing_gemini_key_says_google_ai_studio(self):
+        with self.assertRaises(api.ApiError) as caught:
+            api.gemini_models("")
+        self.assertIn("Google AI Studio", str(caught.exception))
+
 
 if __name__ == "__main__":
     unittest.main()