ADK already has a set of metrics that don't rely expected_invocations. Also, for eval cases with conversation scenario, this would be the main line case.
PiperOrigin-RevId: 825101481
Introduces the `BigQueryLoggingPlugin` for capturing and sending ADK lifecycle events to Google BigQuery. This allows for persistent storage and analysis of agent and tool interactions. The plugin supports asynchronous logging, automatic dataset/table creation, and comprehensive event capture.
Also refactors common formatting utilities (_format_content, _format_args) for shared use.
PiperOrigin-RevId: 824703739
This CL refactors VertexAiSessionService to use the asynchronous aio client for all Vertex AI API calls. This ensures that the service methods are non-blocking and can be used effectively in an asyncio environment.
PiperOrigin-RevId: 824573356
Details:
- Adds the `LlmBackedUserSimulator` which uses an LLM to generate user prompts until it decides that the conversation is complete.
- Adds unit tests for the new functionality.
PiperOrigin-RevId: 823557910
Since it appears in the same bubble as the rest of the LLM's response text, make it more human readable so it doesn't look out of place.
PiperOrigin-RevId: 822729061
The `BaseTool` expects the run_async to return a json-serializable object. By model_dump the McpTool result explicitly can allow what ADK runtime sees is identical to what is persisted in the session event list.
Before the change, runtime sees CallToolResult instance and Session persists its serialized dict.
https://github.com/modelcontextprotocol/python-sdk/blob/main/src/mcp/types.py#L916-L922
PiperOrigin-RevId: 822465432
From
```
You are an agent. Your internal name is "agent".
The description about you is "test description"
```
to
```
You are an agent. Your internal name is "agent". The description about you is "test description".
```
PiperOrigin-RevId: 822358196
To register a custom service:
- Create a factory function that takes a URI and returns an instance of your custom service. This function will parse any details it needs from the URI.
- Register your factory with the global service registry. You need to define a unique URI scheme for your service (e.g., custom).
PiperOrigin-RevId: 822310466
Merge https://github.com/google/adk-python/pull/3170
Addresses Feature Request: #3116
This PR adds a `speech_config` to the **LLM Agent configuration** for the **live use case**. When an **asynchronous LLM** call is made to the **Gemini Live API**, it prioritizes the most specific agent configuration's speech_config. If that is null, it then uses the run configuration's speech_config. Unit tests have been added to verify this behavior.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3170 from qyuo:bidi_agent_speech_config af1bd277d4f95c4a7d9aa0b16828ba3de826ce08
PiperOrigin-RevId: 822305427
Merge https://github.com/google/adk-python/pull/3194
Allow Google API toolsets to accept optional per-request headers
#3105
## Testing Plan
### Unit Tests
- ✅ Added `test_init_with_additional_headers` in `test_google_api_tool.py` to verify headers are passed to RestApiTool
- ✅ Added `test_prepare_request_params_merges_default_headers` in `test_rest_api_tool.py` to verify custom headers are merged into requests
- ✅ Added `test_prepare_request_params_preserves_existing_headers` in `test_rest_api_tool.py` to verify critical headers (Content-Type, User-Agent) are not overridden by additional_headers
- ✅ Updated `test_init` and `test_get_tools` in `test_google_api_toolset.py` to verify the parameter is properly stored and passed through
### Manual Testing
Tested with Google Ads API scenario (the original use case from issue #3105):
```python
import os
from google.adk.tools.google_api_tool import GoogleApiToolset
# Create toolset with developer-token header required by Google Ads API
google_ads_toolset = GoogleApiToolset(
client_id=os.environ["CLIENT_ID"],
client_secret=os.environ["CLIENT_SECRET"],
api_name="googleads",
api_version="v21",
additional_headers={"developer-token": os.environ["GOOGLE_ADS_DEV_TOKEN"]}
)
# Verify headers are included in API requests
tools = await google_ads_toolset.get_tools()
# Successfully made requests with the developer-token header
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3194 from Prhmma:feature/google-api-toolset-additional-headers-3105 e10489e82bfde5cf2bfd3f1bced3e1f5cea1f8b2
PiperOrigin-RevId: 822273582
Previously BuiltInCodeExecutor was missing the logic to save output files from executed code as artifacts, so images/visualizations wouldn't show up in the UI. This fix will iterate through all parts of the LlmResponse, and if any of them are images, it will save the image data using artifact_service (similar to what is done in VertexAICodeExecutor).
This fixes the backend, but there are still UI bugs that should be fixed -- events without content are currently ignored, so the image doesn't appear even though it is saved. We will add the UI fix in a separate change.
PiperOrigin-RevId: 822245140
