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]>

dikte/config.py

@@ -385,6 +385,10 @@ DEFAULTS = {
     "groq_base_url": "https://api.groq.com/openai/v1",
     "openrouter_api_key": "",
     "openrouter_base_url": "https://openrouter.ai/api/v1",
+    "gemini_api_key": "",
+    # Google's OpenAI-compatible endpoint. Cleanup only: there is no
+    # /audio/transcriptions behind it, so it is not one of the TRANSCRIBERS.
+    "gemini_base_url": "https://generativelanguage.googleapis.com/v1beta/openai",
     "transcribe_provider": "local",  # "local", or a key of TRANSCRIBERS
     "transcribe_model": "gpt-4o-transcribe",           # used when provider is openai
     "groq_transcribe_model": "whisper-large-v3-turbo",
@@ -410,6 +414,8 @@ DEFAULTS = {
     "cleanup_model": "google/gemini-3.5-flash-lite",
     "cleanup_claude_model": "haiku",   # Claude Code: an alias, or a full model id
     "cleanup_codex_model": "",         # empty -> whatever Codex is set to
+    "cleanup_gemini_model": "gemini-3.5-flash-lite",
+    "cleanup_agy_model": "",           # empty -> whatever Antigravity is set to
     "cleanup_reasoning": "",        # empty -> whatever the model does by default
 
     # --- llama.cpp, on this machine -----------------------------------------
@@ -482,12 +488,13 @@ DEFAULTS = {
 
     # --- speaking a command to an agent -------------------------------------
     "assistant_shortcut": "",       # empty -> tray only
-    "assistant_provider": "claude",  # claude | codex | openrouter
+    "assistant_provider": "claude",  # claude | codex | agy | openrouter
     "assistant_model": "sonnet",    # Claude Code: an alias, or a full model id
     "assistant_permission_mode": "auto",
     "assistant_codex_model": "",    # empty -> whatever Codex is set to
     "assistant_codex_sandbox": "workspace-write",
     "assistant_openrouter_model": "google/gemini-3.5-flash",
+    "assistant_agy_model": "",      # empty -> whatever Antigravity is set to
     "assistant_reasoning": "",      # empty -> the model's own default
     "assistant_dir": "",            # empty -> the home directory
     "assistant_prompt": "",         # empty -> language-specific default
@@ -589,6 +596,9 @@ class Config:
     def openrouter_key(self):
         return self.api_key("openrouter_api_key")
 
+    def gemini_key(self):
+        return self.api_key("gemini_api_key")
+
     def transcribe_target(self):
         """Key, endpoint and model for whichever provider does speech to text.