chore: logger = logging.getLogger(__name__) --> logger = logging.getLogger('google_adk.' + __name__)

PiperOrigin-RevId: 759894901

src/google/adk/models/anthropic_llm.py

@@ -24,8 +24,9 @@ from typing import AsyncGenerator
 from typing import Generator
 from typing import Iterable
 from typing import Literal
-from typing import Optional, Union
+from typing import Optional
 from typing import TYPE_CHECKING
+from typing import Union
 
 from anthropic import AnthropicVertex
 from anthropic import NOT_GIVEN
@@ -42,7 +43,7 @@ if TYPE_CHECKING:
 
 __all__ = ["Claude"]
 
-logger = logging.getLogger(__name__)
+logger = logging.getLogger("google_adk." + __name__)
 
 MAX_TOKEN = 1024
 

src/google/adk/models/gemini_llm_connection.py

@@ -21,7 +21,7 @@ from google.genai import types
 from .base_llm_connection import BaseLlmConnection
 from .llm_response import LlmResponse
 
-logger = logging.getLogger(__name__)
+logger = logging.getLogger('google_adk.' + __name__)
 
 
 class GeminiLlmConnection(BaseLlmConnection):
@@ -149,16 +149,16 @@ class GeminiLlmConnection(BaseLlmConnection):
             message.server_content.input_transcription
             and message.server_content.input_transcription.text
         ):
-            user_text = message.server_content.input_transcription.text
-            parts = [
-                types.Part.from_text(
-                    text=user_text,
-                )
-            ]
-            llm_response = LlmResponse(
-                content=types.Content(role='user', parts=parts)
-            )
-            yield llm_response
+          user_text = message.server_content.input_transcription.text
+          parts = [
+              types.Part.from_text(
+                  text=user_text,
+              )
+          ]
+          llm_response = LlmResponse(
+              content=types.Content(role='user', parts=parts)
+          )
+          yield llm_response
         if (
             message.server_content.output_transcription
             and message.server_content.output_transcription.text

src/google/adk/models/lite_llm.py

@@ -51,7 +51,7 @@ from .base_llm import BaseLlm
 from .llm_request import LlmRequest
 from .llm_response import LlmResponse
 
-logger = logging.getLogger(__name__)
+logger = logging.getLogger("google_adk." + __name__)
 
 _NEW_LINE = "\n"
 _EXCLUDED_PART_FIELD = {"inline_data": {"data"}}

src/google/adk/models/registry.py

@@ -24,7 +24,7 @@ from typing import TYPE_CHECKING
 if TYPE_CHECKING:
   from .base_llm import BaseLlm
 
-logger = logging.getLogger(__name__)
+logger = logging.getLogger('google_adk.' + __name__)
 
 
 _llm_registry_dict: dict[str, type[BaseLlm]] = {}