add vertex gemini 3 pro config (#4025)

skyvern/config.py

@@ -401,6 +401,7 @@ class Settings(BaseSettings):
                     "llm_key": "VERTEX_GEMINI_2.5_FLASH",
                     "label": "Gemini 2.5 Flash",
                 },
+                "gemini-3-pro-preview": {"llm_key": "VERTEX_GEMINI_3.0_PRO", "label": "Gemini 3 Pro"},
                 "gemini-2.5-flash-lite": {
                     "llm_key": "VERTEX_GEMINI_2.5_FLASH_LITE",
                     "label": "Gemini 2.5 Flash Lite",
@@ -437,6 +438,7 @@ class Settings(BaseSettings):
                     "llm_key": "VERTEX_GEMINI_2.5_FLASH",
                     "label": "Gemini 2.5 Flash",
                 },
+                "gemini-3-pro-preview": {"llm_key": "VERTEX_GEMINI_3.0_PRO", "label": "Gemini 3 Pro"},
                 "gemini-2.5-flash-lite": {
                     "llm_key": "VERTEX_GEMINI_2.5_FLASH_LITE",
                     "label": "Gemini 2.5 Flash Lite",

skyvern/forge/sdk/api/llm/config_registry.py

@@ -1207,6 +1207,25 @@ if settings.ENABLE_VERTEX_AI:
             ),
         ),
     )
+    LLMConfigRegistry.register_config(
+        "VERTEX_GEMINI_3.0_PRO",
+        LLMConfig(
+            "vertex_ai/gemini-3-pro-preview",
+            [],
+            supports_vision=True,
+            add_assistant_prefix=False,
+            max_completion_tokens=65536,
+            litellm_params=LiteLLMParams(
+                api_base=f"{api_base}/gemini-3-pro-preview" if api_base else None,
+                vertex_location=settings.VERTEX_LOCATION,
+                thinking={
+                    "budget_tokens": settings.GEMINI_THINKING_BUDGET,
+                    "type": "enabled" if settings.GEMINI_INCLUDE_THOUGHT else None,
+                },
+                vertex_credentials=settings.VERTEX_CREDENTIALS,
+            ),
+        ),
+    )
     LLMConfigRegistry.register_config(
         "VERTEX_GEMINI_2.5_FLASH_LITE",
         LLMConfig(