feat: Sync from internal staging.

.github/workflows/release.yml

@@ -51,12 +51,14 @@ jobs:
         uses: actions/setup-node@b39b52d1213e96004bfcb1c61a8a6fa8ab84f3e8 # v4.0.1
 
         with:
-          node-version: 20
+          node-version: 22
           registry-url: "https://wombat-dressing-room.appspot.com/"
 
       - name: Run Semantic Release
-        working-directory: client/web
         env:
           GITHUB_TOKEN: ${{ secrets.SYNCED_GITHUB_TOKEN_REPO }}
+          NODE_AUTH_TOKEN: ${{ secrets.NPM_WOMBAT_TOKEN }}
           NPM_TOKEN: ${{ secrets.NPM_WOMBAT_TOKEN }}
-        run: npm run release
+          NODE_PATH: ${{ github.workspace }}/client/web/node_modules
+        run: npx --prefix client/web semantic-release
+

.github/workflows/web-ci.yml

@@ -1,3 +1,17 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 name: Web CI
 
 on:

README.md

@@ -9,6 +9,8 @@
 [![iOS Library](https://img.shields.io/badge/iOS_Library-SwiftUI-007AFF)](https://github.com/googlemaps/a2ui/tree/main/client/ios)
 
 > **Note:** This toolkit is in **Experimental** status.
+> 
+> 🔔 Stay Updated: Click the **Watch** button at the top right of this repository and select Custom → Releases to get notified whenever a new version is published.
 
 This repository contains the A2UI implementation for the Maps Agentic UI Toolkit. It includes components and handlers implementing the Agent-to-User Interface (A2UI) standard, allowing agents to present rich, interactive interfaces across different platforms.
 

agent/python_agent/agent_config.py

@@ -47,7 +47,7 @@ class AgentConfig:
   generic_model: str = "gemini/gemini-3-flash-preview"
   router_thinking_budget: int = 0
   extractor_thinking_budget: int = 0
-  fallback_mode: FallbackMode = FallbackMode.DYNAMIC
+  fallback_mode: FallbackMode = FallbackMode.TEXT
 
   def __post_init__(self):
     if not isinstance(self.fallback_mode, FallbackMode):

agent/python_agent/agent_with_grounding.py

@@ -33,7 +33,7 @@
 from a2ui.schema.manager import A2uiSchemaManager
 
 # Import MAUIAgent to inherit from it
-from .agent import AGENT_INSTRUCTION, MAUIAgent, MergedCatalogProvider
+from agent import AGENT_INSTRUCTION, MAUIAgent, MergedCatalogProvider
 
 logger = logging.getLogger(__name__)
 
@@ -52,11 +52,15 @@
   logger.warning("Skill file not found at %s", skill_path)
 
 
-async def query_vertex_map(query: str) -> str:
+async def query_vertex_map(
+    query: str,
+    model_id: str = "gemini-3-flash-preview",
+) -> str:
   """Query Google Maps via Vertex Grounding and return cleaned response.
 
   Args:
       query: The location query or question.
+      model_id: The model ID to use for Vertex Grounding.
 
   Returns:
       The grounded and cleaned A2UI response string.
@@ -74,8 +78,6 @@ async def query_vertex_map(query: str) -> str:
     location = "global"
     logger.warning("GOOGLE_CLOUD_LOCATION is not set, defaulting to 'global'.")
 
-  model_id = "gemini-3-flash-preview"
-
   client = genai.Client(vertexai=True, project=project_id, location=location)
 
   # Construct instruction
@@ -203,8 +205,30 @@ async def query_vertex_map(query: str) -> str:
 class MAUIAgentWithGrounding(MAUIAgent):
   """An agent that finds restaurants based on user criteria, using Vertex Grounding."""
 
-  def __init__(self, base_url: str):
-    super().__init__(base_url, agent_name="MAUI Agent with Grounding")
+  def __init__(
+      self,
+      base_url: str,
+      model_name: str = "gemini/gemini-3-flash-preview",
+  ):
+    super().__init__(
+        base_url,
+        agent_name="MAUI Agent with Grounding",
+        model_name=model_name,
+    )
+
+  async def query_vertex_map(self, query: str) -> str:
+    """Query Google Maps via Vertex Grounding and return cleaned response.
+
+    Args:
+        query: The location query or question.
+
+    Returns:
+        The grounded and cleaned A2UI response string.
+    """
+    model_id = (
+        self._model_name.removeprefix("gemini/").removeprefix("models/")
+    )
+    return await query_vertex_map(query, model_id=model_id)
 
   def _build_llm_agent(
       self, schema_manager: A2uiSchemaManager | None = None
@@ -223,7 +247,7 @@ def _build_llm_agent(
     skill_manager_tool = skill_toolset.SkillToolset(skills=skills)
 
     # Use FunctionTool for Vertex grounding
-    grounding_tool = FunctionTool(func=query_vertex_map)
+    grounding_tool = FunctionTool(func=self.query_vertex_map)
 
     agent_instruction = """You are a location routing agent.
         Whenever the user asks a question about a location, directions, places, or maps,
@@ -245,7 +269,7 @@ def _build_llm_agent(
       instruction = agent_instruction
 
     return LlmAgent(
-        model=LiteLlm(model="gemini/gemini-3-flash-preview"),
+        model=LiteLlm(model=self._model_name),
         name="maui_agent_grounding",
         description=(
             "An agent that can provide Google Maps UI-enriched responses using"