fix: Move some API request and responses to DEBUG logging level

Please set --log_level to DEBUG, if you are interested in having those API request and responses in logs.

NOTE: Generally it is not recommended to have DEBUG log level for services that run in a production setting. It is our recommendation to only use DEBUG log level in a debug or development setting.
PiperOrigin-RevId: 785972338

src/google/adk/agents/remote_a2a_agent.py

@@ -481,11 +481,11 @@ class RemoteA2aAgent(BaseAgent):
           ),
       )
 
-    logger.info(build_a2a_request_log(a2a_request))
+    logger.debug(build_a2a_request_log(a2a_request))
 
     try:
       a2a_response = await self._a2a_client.send_message(request=a2a_request)
-      logger.info(build_a2a_response_log(a2a_response))
+      logger.debug(build_a2a_response_log(a2a_response))
 
       event = await self._handle_a2a_response(a2a_response, ctx)
 

src/google/adk/cli/fast_api.py

@@ -894,7 +894,8 @@ def get_fast_api_app(
             new_message=req.new_message,
         )
     ]
-    logger.info("Generated %s events in agent run: %s", len(events), events)
+    logger.info("Generated %s events in agent run", len(events))
+    logger.debug("Events generated: %s", events)
     return events
 
   @app.post("/run_sse")
@@ -920,7 +921,7 @@ def get_fast_api_app(
         ):
           # Format as SSE data
           sse_event = event.model_dump_json(exclude_none=True, by_alias=True)
-          logger.info("Generated event in agent run streaming: %s", sse_event)
+          logger.debug("Generated event in agent run streaming: %s", sse_event)
           yield f"data: {sse_event}\n\n"
       except Exception as e:
         logger.exception("Error in event_generator: %s", e)

src/google/adk/memory/vertex_ai_memory_bank_service.py

@@ -86,7 +86,8 @@ class VertexAiMemoryBankService(BaseMemoryService):
           path=f'reasoningEngines/{self._agent_engine_id}/memories:generate',
           request_dict=request_dict,
       )
-      logger.info('Generate memory response: %s', api_response)
+      logger.info('Generate memory response received.')
+      logger.debug('Generate memory response: %s', api_response)
     else:
       logger.info('No events to add to memory.')
 
@@ -108,7 +109,8 @@ class VertexAiMemoryBankService(BaseMemoryService):
         },
     )
     api_response = _convert_api_response(api_response)
-    logger.info('Search memory response: %s', api_response)
+    logger.info('Search memory response received.')
+    logger.debug('Search memory response: %s', api_response)
 
     if not api_response or not api_response.get('retrievedMemories', None):
       return SearchMemoryResponse()

src/google/adk/models/anthropic_llm.py

@@ -174,7 +174,8 @@ def content_block_to_part(
 def message_to_generate_content_response(
     message: anthropic_types.Message,
 ) -> LlmResponse:
-  logger.info(
+  logger.info("Received response from Claude.")
+  logger.debug(
       "Claude response: %s",
       message.model_dump_json(indent=2, exclude_none=True),
   )

src/google/adk/models/google_llm.py

@@ -96,7 +96,7 @@ class Gemini(BaseLlm):
         self._api_backend,
         stream,
     )
-    logger.info(_build_request_log(llm_request))
+    logger.debug(_build_request_log(llm_request))
 
     # add tracking headers to custom headers given it will override the headers
     # set in the api client constructor
@@ -121,7 +121,7 @@ class Gemini(BaseLlm):
       # previous partial content. The only difference is bidi rely on
       # complete_turn flag to detect end while sse depends on finish_reason.
       async for response in responses:
-        logger.info(_build_response_log(response))
+        logger.debug(_build_response_log(response))
         llm_response = LlmResponse.create(response)
         usage_metadata = llm_response.usage_metadata
         if (
@@ -179,7 +179,8 @@ class Gemini(BaseLlm):
           contents=llm_request.contents,
           config=llm_request.config,
       )
-      logger.info(_build_response_log(response))
+      logger.info('Response received from the model.')
+      logger.debug(_build_response_log(response))
       yield LlmResponse.create(response)
 
   @cached_property

src/google/adk/sessions/vertex_ai_session_service.py

@@ -109,7 +109,8 @@ class VertexAiSessionService(BaseSessionService):
         request_dict=session_json_dict,
     )
     api_response = _convert_api_response(api_response)
-    logger.info(f'Create Session response {api_response}')
+    logger.info('Create session response received.')
+    logger.debug('Create session response: %s', api_response)
 
     session_id = api_response['name'].split('/')[-3]
     operation_id = api_response['name'].split('/')[-1]