fix: Invoke on_tool_error_callback for missing tools in live mode

In live mode, when the model calls an unregistered tool, ADK now runs on_tool_error_callback before failing. If the callback returns a response, ADK emits
that function response and continues; otherwise it keeps the old ValueError

Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 872996178

src/google/adk/flows/llm_flows/functions.py

@@ -660,14 +660,65 @@ async def _execute_single_function_call_live(
     streaming_lock: asyncio.Lock,
 ) -> Optional[Event]:
   """Execute a single function call for live mode with thread safety."""
-  tool, tool_context = _get_tool_and_context(
-      invocation_context, function_call, tools_dict
-  )
 
+  async def _run_on_tool_error_callbacks(
+      *,
+      tool: BaseTool,
+      tool_args: dict[str, Any],
+      tool_context: ToolContext,
+      error: Exception,
+  ) -> Optional[dict[str, Any]]:
+    """Runs the on_tool_error_callbacks for the given tool."""
+    error_response = (
+        await invocation_context.plugin_manager.run_on_tool_error_callback(
+            tool=tool,
+            tool_args=tool_args,
+            tool_context=tool_context,
+            error=error,
+        )
+    )
+    if error_response is not None:
+      return error_response
+
+    for callback in agent.canonical_on_tool_error_callbacks:
+      error_response = callback(
+          tool=tool,
+          args=tool_args,
+          tool_context=tool_context,
+          error=error,
+      )
+      if inspect.isawaitable(error_response):
+        error_response = await error_response
+      if error_response is not None:
+        return error_response
+
+    return None
+
+  # Do not use "args" as the variable name, because it is a reserved keyword
+  # in python debugger.
+  # Make a deep copy to avoid being modified.
   function_args = (
       copy.deepcopy(function_call.args) if function_call.args else {}
   )
 
+  tool_context = _create_tool_context(invocation_context, function_call)
+
+  try:
+    tool = _get_tool(function_call, tools_dict)
+  except ValueError as tool_error:
+    tool = BaseTool(name=function_call.name, description='Tool not found')
+    error_response = await _run_on_tool_error_callbacks(
+        tool=tool,
+        tool_args=function_args,
+        tool_context=tool_context,
+        error=tool_error,
+    )
+    if error_response is not None:
+      return __build_response_event(
+          tool, error_response, tool_context, invocation_context
+      )
+    raise tool_error
+
   async def _run_with_trace():
     nonlocal function_args