feat: add enable_affective_dialog and proactivity to run_config and llm_request

PiperOrigin-RevId: 772175206

src/google/adk/agents/run_config.py

@@ -73,6 +73,12 @@ class RunConfig(BaseModel):
   realtime_input_config: Optional[types.RealtimeInputConfig] = None
   """Realtime input config for live agents with audio input from user."""
 
+  enable_affective_dialog: Optional[bool] = None
+  """If enabled, the model will detect emotions and adapt its responses accordingly."""
+
+  proactivity: Optional[types.ProactivityConfig] = None
+  """Configures the proactivity of the model. This allows the model to respond proactively to the input and to ignore irrelevant input."""
+
   max_llm_calls: int = 500
   """
   A limit on the total number of llm calls for a given run.

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

@@ -68,6 +68,12 @@ class _BasicLlmRequestProcessor(BaseLlmRequestProcessor):
     llm_request.live_connect_config.realtime_input_config = (
         invocation_context.run_config.realtime_input_config
     )
+    llm_request.live_connect_config.enable_affective_dialog = (
+        invocation_context.run_config.enable_affective_dialog
+    )
+    llm_request.live_connect_config.proactivity = (
+        invocation_context.run_config.proactivity
+    )
 
     # TODO: handle tool append here, instead of in BaseTool.process_llm_request.