feat: Add configuration options to BigQuery logging plugin

This change introduces BigQueryLoggerConfig to allow customization of the BigQueryAgentAnalyticsPlugin. Users can now enable/disable the plugin, specify event type allowlists and denylists, and provide a custom function to format or redact the content field before logging to BigQuery. The content logged for model and tool errors has also been enhanced.

PiperOrigin-RevId: 828172241

src/google/adk/plugins/bigquery_logging_plugin.py

@@ -14,12 +14,16 @@
 from __future__ import annotations
 
 import asyncio
+import dataclasses
 from datetime import datetime
 from datetime import timezone
 import json
 import logging
 import threading
 from typing import Any
+from typing import Callable
+from typing import Dict
+from typing import List
 from typing import Optional
 from typing import TYPE_CHECKING
 
@@ -44,6 +48,26 @@ if TYPE_CHECKING:
   from ..agents.invocation_context import InvocationContext
 
 
+@dataclasses.dataclass
+class BigQueryLoggerConfig:
+  """Configuration for the BigQueryAgentAnalyticsPlugin.
+
+  Attributes:
+      enabled: Whether the plugin is enabled.
+      event_allowlist: List of event types to log. If None, all are allowed
+        except those in event_denylist.
+      event_denylist: List of event types to not log. Takes precedence over
+        event_allowlist.
+      content_formatter: Function to format or redact the 'content' field before
+        logging.
+  """
+
+  enabled: bool = True
+  event_allowlist: Optional[List[str]] = None
+  event_denylist: Optional[List[str]] = None
+  content_formatter: Optional[Callable[[Any], str]] = None
+
+
 def _get_event_type(event: Event) -> str:
   if event.author == "user":
     return "USER_INPUT"
@@ -109,6 +133,8 @@ class BigQueryAgentAnalyticsPlugin(BasePlugin):
 
   Each log entry includes a timestamp, event type, agent name, session ID,
   invocation ID, user ID, content payload, and any error messages.
+
+  Logging behavior can be customized using the BigQueryLoggerConfig.
   """
 
   def __init__(
@@ -116,22 +142,35 @@ class BigQueryAgentAnalyticsPlugin(BasePlugin):
       project_id: str,
       dataset_id: str,
       table_id: str = "agent_events",
+      config: Optional[BigQueryLoggerConfig] = None,
       **kwargs,
   ):
     super().__init__(name=kwargs.get("name", "BigQueryAgentAnalyticsPlugin"))
     self._project_id = project_id
     self._dataset_id = dataset_id
     self._table_id = table_id
+    self._config = config if config else BigQueryLoggerConfig()
     self._bq_client: bigquery.Client | None = None
     self._client_init_lock = threading.Lock()
     self._init_done = False
     self._init_succeeded = False
+
+    if not self._config.enabled:
+      logging.info(
+          "BigQueryAgentAnalyticsPlugin %s is disabled by configuration.",
+          self.name,
+      )
+      return
+
     logging.debug(
         "DEBUG: BigQueryAgentAnalyticsPlugin INSTANTIATED (Name: %s)", self.name
     )
 
   def _ensure_initialized_sync(self):
     """Synchronous initialization of BQ client and table."""
+    if not self._config.enabled:
+      return
+
     with self._client_init_lock:
       if self._init_done:
         return
@@ -180,6 +219,39 @@ class BigQueryAgentAnalyticsPlugin(BasePlugin):
         self._init_succeeded = False
 
   async def _log_to_bigquery_async(self, event_dict: dict[str, Any]):
+    if not self._config.enabled:
+      return
+
+    event_type = event_dict.get("event_type")
+
+    # Check denylist
+    if (
+        self._config.event_denylist
+        and event_type in self._config.event_denylist
+    ):
+      return
+
+    # Check allowlist
+    if (
+        self._config.event_allowlist
+        and event_type not in self._config.event_allowlist
+    ):
+      return
+
+    # Apply custom content formatter
+    if self._config.content_formatter and "content" in event_dict:
+      try:
+        event_dict["content"] = self._config.content_formatter(
+            event_dict["content"]
+        )
+      except Exception as e:
+        logging.warning(
+            "Error applying custom content formatter for event type %s: %s",
+            event_type,
+            e,
+        )
+        # Optionally log a generic message or the error
+
     def _sync_log():
       self._ensure_initialized_sync()
       if not self._init_succeeded or not self._bq_client:
@@ -246,6 +318,7 @@ class BigQueryAgentAnalyticsPlugin(BasePlugin):
         "session_id": invocation_context.session.id,
         "invocation_id": invocation_context.invocation_id,
         "user_id": invocation_context.session.user_id,
+        "content": None,
     }
     await self._log_to_bigquery_async(event_dict)
     return None
@@ -286,6 +359,7 @@ class BigQueryAgentAnalyticsPlugin(BasePlugin):
         "session_id": invocation_context.session.id,
         "invocation_id": invocation_context.invocation_id,
         "user_id": invocation_context.session.user_id,
+        "content": None,
     }
     await self._log_to_bigquery_async(event_dict)
     return None
@@ -529,7 +603,9 @@ class BigQueryAgentAnalyticsPlugin(BasePlugin):
         "session_id": tool_context.session.id,
         "invocation_id": tool_context.invocation_id,
         "user_id": tool_context.session.user_id,
-        "content": f"Tool Name: {tool.name}",
+        "content": (
+            f"Tool Name: {tool.name}, Arguments: {_format_args(tool_args)}"
+        ),
         "error_message": str(error),
     }
     await self._log_to_bigquery_async(event_dict)

tests/unittests/plugins/test_bigquery_logging_plugin.py

@@ -38,6 +38,8 @@ from google.cloud import bigquery
 from google.genai import types
 import pytest
 
+BigQueryLoggerConfig = bigquery_logging_plugin.BigQueryLoggerConfig
+
 
 class PluginTestBase:
   """Base class for plugin tests with common context setup."""
@@ -109,14 +111,20 @@ class TestBigQueryAgentAnalyticsPlugin(PluginTestBase):
     )
     self._asyncio_to_thread_patch.start()
 
-    self.plugin = bigquery_logging_plugin.BigQueryAgentAnalyticsPlugin(
+    self.plugin = asyncio.run(self._create_plugin())
+
+  async def _create_plugin(self, config=None):
+    plugin = bigquery_logging_plugin.BigQueryAgentAnalyticsPlugin(
         project_id=self.project_id,
         dataset_id=self.dataset_id,
         table_id=self.table_id,
+        config=config,
     )
-    # Trigger lazy initialization by calling an async method once.
+    if config is None or config.enabled:
-    asyncio.run(self.plugin._log_to_bigquery_async({"event_type": "INIT"}))
+      # Trigger lazy initialization by calling an async method once.
-    self.mock_bq_client.insert_rows_json.reset_mock()
+      await plugin._log_to_bigquery_async({"event_type": "INIT"})
+      self.mock_bq_client.insert_rows_json.reset_mock()
+    return plugin
 
   def _get_logged_entry(self):
     """Helper to get the single logged entry from the mocked client."""
@@ -134,6 +142,98 @@ class TestBigQueryAgentAnalyticsPlugin(PluginTestBase):
     assert log_entry["user_id"] == "user-456"
     assert log_entry["timestamp"] is not None
 
+  @pytest.mark.asyncio
+  async def test_plugin_disabled(self):
+    self.mock_bq_client_cls.reset_mock()
+    config = BigQueryLoggerConfig(enabled=False)
+    plugin = await self._create_plugin(config)
+    user_message = types.Content(parts=[types.Part(text="Test")])
+    await plugin.on_user_message_callback(
+        invocation_context=self.invocation_context, user_message=user_message
+    )
+    self.mock_bq_client_cls.assert_not_called()
+    self.mock_bq_client.insert_rows_json.assert_not_called()
+
+  @pytest.mark.asyncio
+  async def test_event_allowlist(self):
+    config = BigQueryLoggerConfig(event_allowlist=["LLM_REQUEST"])
+    plugin = await self._create_plugin(config)
+
+    # This should be logged
+    llm_request = llm_request_lib.LlmRequest(
+        model="gemini-pro",
+        contents=[types.Content(parts=[types.Part(text="Prompt")])],
+    )
+    await plugin.before_model_callback(
+        callback_context=self.callback_context, llm_request=llm_request
+    )
+    self.mock_bq_client.insert_rows_json.assert_called_once()
+    self.mock_bq_client.insert_rows_json.reset_mock()
+
+    # This should NOT be logged
+    user_message = types.Content(parts=[types.Part(text="What is up?")])
+    await plugin.on_user_message_callback(
+        invocation_context=self.invocation_context, user_message=user_message
+    )
+    self.mock_bq_client.insert_rows_json.assert_not_called()
+
+  @pytest.mark.asyncio
+  async def test_event_denylist(self):
+    config = BigQueryLoggerConfig(event_denylist=["USER_MESSAGE_RECEIVED"])
+    plugin = await self._create_plugin(config)
+
+    # This should NOT be logged
+    user_message = types.Content(parts=[types.Part(text="What is up?")])
+    await plugin.on_user_message_callback(
+        invocation_context=self.invocation_context, user_message=user_message
+    )
+    self.mock_bq_client.insert_rows_json.assert_not_called()
+
+    # This should be logged
+    await plugin.before_run_callback(invocation_context=self.invocation_context)
+    self.mock_bq_client.insert_rows_json.assert_called_once()
+
+  @pytest.mark.asyncio
+  async def test_content_formatter(self):
+    def redact_content(content):
+      return "[REDACTED]"
+
+    config = BigQueryLoggerConfig(content_formatter=redact_content)
+    plugin = await self._create_plugin(config)
+
+    user_message = types.Content(parts=[types.Part(text="Secret message")])
+    await plugin.on_user_message_callback(
+        invocation_context=self.invocation_context, user_message=user_message
+    )
+
+    log_entry = self._get_logged_entry()
+    self._assert_common_fields(log_entry, "USER_MESSAGE_RECEIVED")
+    assert log_entry["content"] == "[REDACTED]"
+
+  @pytest.mark.asyncio
+  async def test_content_formatter_error(self):
+    def error_formatter(content):
+      raise ValueError("Formatter failed")
+
+    config = BigQueryLoggerConfig(content_formatter=error_formatter)
+    plugin = await self._create_plugin(config)
+
+    user_message = types.Content(parts=[types.Part(text="Test")])
+    with mock.patch.object(logging, "warning") as mock_log_warning:
+      await plugin.on_user_message_callback(
+          invocation_context=self.invocation_context, user_message=user_message
+      )
+      mock_log_warning.assert_called_once_with(
+          "Error applying custom content formatter for event type %s: %s",
+          "USER_MESSAGE_RECEIVED",
+          mock.ANY,
+      )
+
+    log_entry = self._get_logged_entry()
+    # Content should be a string, even if formatter failed
+    assert isinstance(log_entry["content"], str)
+    assert "User Content: text: 'Test'" in log_entry["content"]
+
   @pytest.mark.asyncio
   async def test_on_user_message_callback_logs_correctly(self):
     user_message = types.Content(parts=[types.Part(text="What is up?")])
@@ -371,8 +471,9 @@ class TestBigQueryAgentAnalyticsPlugin(PluginTestBase):
 
   @pytest.mark.asyncio
   async def test_on_model_error_callback_logs_correctly(self):
-    llm_request = mock.create_autospec(
+    llm_request = llm_request_lib.LlmRequest(
-        llm_request_lib.LlmRequest, instance=True
+        model="gemini-pro",
+        contents=[types.Content(parts=[types.Part(text="Prompt")])],
     )
     error = ValueError("LLM failed")
     await self.plugin.on_model_error_callback(
@@ -382,21 +483,26 @@ class TestBigQueryAgentAnalyticsPlugin(PluginTestBase):
     )
     log_entry = self._get_logged_entry()
     self._assert_common_fields(log_entry, "LLM_ERROR")
-    assert log_entry["content"] is None
+    assert (
+        log_entry["content"] is None
+        or "Request Content: " in log_entry["content"]
+    )
     assert log_entry["error_message"] == "LLM failed"
 
   @pytest.mark.asyncio
   async def test_on_tool_error_callback_logs_correctly(self):
     mock_tool = mock.create_autospec(base_tool_lib.BaseTool, instance=True)
     mock_tool.name = "MyTool"
+    tool_args = {"param": "value"}
     error = TimeoutError("Tool timed out")
     await self.plugin.on_tool_error_callback(
         tool=mock_tool,
-        tool_args={"param": "value"},
+        tool_args=tool_args,
         tool_context=self.tool_context,
         error=error,
     )
     log_entry = self._get_logged_entry()
     self._assert_common_fields(log_entry, "TOOL_ERROR")
-    assert log_entry["content"] == "Tool Name: MyTool"
+    assert "Tool Name: MyTool" in log_entry["content"]
+    assert "Arguments: {'param': 'value'}" in log_entry["content"]
     assert log_entry["error_message"] == "Tool timed out"