@@ -13,17 +13,6 @@
 # limitations under the License.
 
 """Agent definition for testing the Interactions API integration.
-
-NOTE: The Interactions API does NOT support mixing custom function calling tools
-with built-in tools in the same agent. To work around this limitation, we use
-bypass_multi_tools_limit=True on GoogleSearchTool, which converts the built-in
-google_search to a function calling tool (via GoogleSearchAgentTool).
-
-The bypass is only triggered when len(agent.tools) > 1, so we include multiple
-tools in the agent (GoogleSearchTool + get_current_weather).
-
-With bypass_multi_tools_limit=True and multiple tools, all tools become function
-calling tools, which allows mixing google_search with custom function tools.
 """
 
 from google.adk.agents.llm_agent import Agent
@@ -74,16 +63,13 @@ def get_current_weather(city: str) -> dict:
     }
 
 
-# Main agent with google_search (via bypass) and custom function tools
-# Using bypass_multi_tools_limit=True converts google_search to a function calling tool.
-# We need len(tools) > 1 to trigger the bypass, so we include get_current_weather directly.
-# This allows mixing google_search with custom function tools via the Interactions API.
+# Main agent with google_search built-in tool and custom function tools
 #
 # NOTE: code_executor is not compatible with function calling mode because the model
 # tries to call a function (e.g., run_code) instead of outputting code in markdown.
 root_agent = Agent(
     model=Gemini(
-        model="gemini-3-flash-preview",
+        model="gemini-3.1-flash-lite",
         use_interactions_api=True,
     ),
     name="interactions_test_agent",
@@ -99,7 +85,7 @@ def get_current_weather(city: str) -> dict:
 Be concise and helpful in your responses. Always confirm what you did.
 """,
     tools=[
-        GoogleSearchTool(bypass_multi_tools_limit=True),
+        GoogleSearchTool(),
         get_current_weather,
     ],
 )
@@ -16,17 +16,11 @@
 
 This script tests the following features:
 1. Basic text generation
-2. Google Search tool (via bypass_multi_tools_limit)
+2. Google Search tool
 3. Multi-turn conversations with stateful interactions
 4. Google Search tool (additional coverage)
 5. Custom function tool (get_current_weather)
 
-NOTE: The Interactions API does NOT support mixing custom function calling tools
-with built-in tools. To work around this, we use bypass_multi_tools_limit=True
-on GoogleSearchTool, which converts it to a function calling tool (via
-GoogleSearchAgentTool). The bypass only triggers when len(agent.tools) > 1,
-so we include both GoogleSearchTool and get_current_weather in the agent.
-
 NOTE: Code execution via UnsafeLocalCodeExecutor is not compatible with function
 calling mode because the model tries to call a function instead of outputting
 code in markdown.
@@ -41,8 +35,8 @@
 import logging
 from pathlib import Path
 import time
-from typing import Optional
 
+import httpx
 from dotenv import load_dotenv
 from google.adk.agents.run_config import RunConfig
 from google.adk.cli.utils import logs
@@ -67,7 +61,8 @@ async def call_agent_async(
     prompt: str,
     agent_name: str = "",
     show_interaction_id: bool = True,
-) -> tuple[str, Optional[str]]:
+    additional_parts: list[types.Part] | None = None,
+) -> tuple[str, str | None]:
   """Call the agent asynchronously with the user's prompt.
 
   Args:
@@ -77,12 +72,17 @@ async def call_agent_async(
     prompt: The prompt to send
     agent_name: The expected agent name for filtering responses
     show_interaction_id: Whether to show interaction IDs in output
+    additional_parts: Optional list of additional content parts (e.g. files)
 
   Returns:
     A tuple of (response_text, interaction_id)
   """
+  parts = [types.Part.from_text(text=prompt)]
+  if additional_parts:
+    parts.extend(additional_parts)
+
   content = types.Content(
-      role="user", parts=[types.Part.from_text(text=prompt)]
+      role="user", parts=parts
   )
 
   final_response_text = ""
@@ -264,6 +264,35 @@ async def test_custom_function_tool(runner: Runner, session_id: str):
   return interaction_id
 
 
+async def test_pdf_summarization(runner: Runner, session_id: str) -> str | None:
+  """Test PDF summarization using the Interactions API."""
+  print("\n" + "=" * 60)
+  print("TEST 6: PDF Summarization")
+  print("=" * 60)
+
+  url = "https://storage.googleapis.com/cloud-samples-data/generative-ai/pdf/2403.05530.pdf"
+  print(f"Downloading {url}...")
+  async with httpx.AsyncClient() as client:
+    response = await client.get(url, headers={'User-Agent': 'Mozilla/5.0'}, follow_redirects=True)
+    response.raise_for_status()
+    pdf_bytes = response.content
+
+  pdf_part = types.Part.from_bytes(data=pdf_bytes, mime_type="application/pdf")
+  response, interaction_id = await call_agent_async(
+      runner,
+      USER_ID,
+      session_id,
+      "Please summarize the attached PDF document.",
+      additional_parts=[pdf_part],
+  )
+
+  assert response, "Expected a non-empty response"
+  assert len(response) > 0, f"Expected summary in response: {response}"
+  assert "gemini" in response.lower() or "multimodal" in response.lower(), f"Expected summary of PDF in response: {response}"
+  print("PASSED: PDF Summarization works")
+  return interaction_id
+
+
 def check_interactions_api_available() -> bool:
   """Check if the interactions API is available in the SDK."""
   try:
@@ -311,6 +340,7 @@ async def run_all_tests():
     await test_multi_turn_conversation(runner, session.id)
     await test_google_search_tool(runner, session.id)
     await test_custom_function_tool(runner, session.id)
+    await test_pdf_summarization(runner, session.id)
 
     print("\n" + "=" * 60)
     print("ALL TESTS PASSED (Interactions API)")
 
@@ -38,7 +38,7 @@ dependencies = [
   "click>=8.1.8,<9",
   "fastapi>=0.124.1,<1",
   "google-auth[pyopenssl]>=2.47",
-  "google-genai>=1.72,<2",
+  "google-genai>=2.4,<3",
   "graphviz>=0.20.2,<1",
   "httpx>=0.27,<1",
   "jsonschema>=4.23,<5",