release: Gemini CLI v0.32.1 (6 patches)

gemini/gemini_config.json

@@ -1,13 +1,19 @@
 {
   "base_url": "https://ai.37-187-136-86.sslip.io",
   "api_key": "ClauderAPI",
-  "default_model": "gemini-2.5-flash",
+  "default_model": "gemini-3.1-pro-preview",
+  "internal_flash_model": "gemini-3-flash-preview",
   "models": [
     "gemini-2.5-pro",
     "gemini-2.5-flash",
     "gemini-2.5-flash-lite",
     "gemini-3-pro-preview",
-    "gemini-3-flash-preview"
+    "gemini-3-flash-preview",
+    "gemini-3.1-pro-preview",
+    "gemini-3.1-pro-preview-customtools",
+    "gemini-3.1-pro-high",
+    "gemini-3.1-pro-low",
+    "gemini-3.1-flash-image"
   ],
   "target_version": "0.32.1",
   "telemetry_enabled": false,

gemini/gemini_patcher.py

@@ -238,6 +238,12 @@ def patch_settings_js(settings_js_path):
                 changes += 1
 
     if changes == 0:
+        # Check if already patched
+        already_patched = (
+            new_sanitize in content or "/:@]" in content
+        ) and "GOOGLE_GEMINI_BASE_URL" in content
+        if already_patched:
+            return True, "Already patched (settings.js)"
         return False, "No settings.js patterns matched"
 
     # Backup
@@ -287,6 +293,82 @@ def patch_user_settings(config, home_dir=None):
     existing["telemetry"]["enabled"] = config.get("telemetry_enabled", False)
     existing["telemetry"]["logPrompts"] = False
 
+    # Set default model (e.g. gemini-3.1-pro-preview)
+    default_model = config.get("default_model")
+    if default_model:
+        if "model" not in existing:
+            existing["model"] = {}
+        existing["model"]["name"] = default_model
+
+    # Override internal task models to use gemini-3-flash-preview
+    internal_flash_model = config.get("internal_flash_model")
+    if internal_flash_model:
+        if "modelConfigs" not in existing:
+            existing["modelConfigs"] = {}
+        existing["modelConfigs"]["customAliases"] = {
+            "classifier": {
+                "extends": "base",
+                "modelConfig": {
+                    "model": internal_flash_model,
+                    "generateContentConfig": {
+                        "maxOutputTokens": 1024,
+                        "thinkingConfig": {"thinkingLevel": "MEDIUM"},
+                    },
+                },
+            },
+            "prompt-completion": {
+                "extends": "base",
+                "modelConfig": {
+                    "model": internal_flash_model,
+                    "generateContentConfig": {
+                        "temperature": 0.3,
+                        "maxOutputTokens": 16000,
+                        "thinkingConfig": {"thinkingLevel": "LOW"},
+                    },
+                },
+            },
+            "fast-ack-helper": {
+                "extends": "base",
+                "modelConfig": {
+                    "model": internal_flash_model,
+                    "generateContentConfig": {
+                        "temperature": 0.2,
+                        "maxOutputTokens": 120,
+                        "thinkingConfig": {"thinkingLevel": "LOW"},
+                    },
+                },
+            },
+            "edit-corrector": {
+                "extends": "base",
+                "modelConfig": {
+                    "model": internal_flash_model,
+                    "generateContentConfig": {
+                        "thinkingConfig": {"thinkingLevel": "LOW"},
+                    },
+                },
+            },
+            "summarizer-default": {
+                "extends": "base",
+                "modelConfig": {
+                    "model": internal_flash_model,
+                    "generateContentConfig": {
+                        "maxOutputTokens": 2000,
+                        "thinkingConfig": {"thinkingLevel": "MINIMAL"},
+                    },
+                },
+            },
+            "summarizer-shell": {
+                "extends": "base",
+                "modelConfig": {
+                    "model": internal_flash_model,
+                    "generateContentConfig": {
+                        "maxOutputTokens": 2000,
+                        "thinkingConfig": {"thinkingLevel": "MINIMAL"},
+                    },
+                },
+            },
+        }
+
     # Write back
     with open(settings_path, "w") as f:
         json.dump(existing, f, indent=2)