ARIMA supports both historical data and future data anomaly detection. This CL add how the tool support future table anomaly detection.
PiperOrigin-RevId: 827803748
This CL introduces a new tool, get_job_info, to the BigQuery toolset. This tool allows retrieving metadata about a BigQuery job, such as slot usage, job configuration, statistics, and job status.
Closes#2928
Co-authored-by: Dongyu Jia <dongyuj@google.com>
PiperOrigin-RevId: 825762399
Merge https://github.com/google/adk-python/pull/3037
fix: [#3036](https://github.com/google/adk-python/issues/3036)
- Fix FunctionTool parameter filtering to support CrewAI-style tools
- Functions with **kwargs now receive all parameters except 'self' and 'tool_context'
- Maintains backward compatibility with explicit parameter functions
- Add comprehensive tests for **kwargs functionality
Fixes parameter filtering issue where CrewAI tools using **kwargs pattern would receive empty parameter dictionaries, causing search_query and other parameters to be None.
#non-breaking
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3037 from omarcevi:fix/function-tool-kwargs-parameter-filtering 012bbfcfd68e83a29635ac74718a1bd1323c5187
PiperOrigin-RevId: 825275686
This change introduces a new `detect_anomalies` tool in `query_tool.py` which uses BigQuery ML's `CREATE MODEL` with `ARIMA_PLUS` type and `ML.DETECT_ANOMALIES` to detect anomalies. The new function is also added to the `bigquery_toolset`.
PiperOrigin-RevId: 825181489
* feat: Added support for enums as arguments for function tools
* feat: Add default value support for function tools
fix: Add more test cases inside `test_build_function_declaration.py` for passing Enums as arguments
* fix: format code with pyink
---------
Co-authored-by: Wei Sun (Jack) <weisun@google.com>
Co-authored-by: Yvonne Yu <150068659+yyyu-google@users.noreply.github.com>
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
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
- let _enforce_app_name_alignment warn instead of raising while caching the hint that now augments the existing “Session not found …” error
- tighten _infer_agent_origin so it ignores hidden folders (like .venv)
- make AgentTool reuse the parent runner’s app_name, stopping internal runners from conflicting in multi-agent setups
PiperOrigin-RevId: 822205860
Add a header_provider param which is a callable[ReadonlyContext, Dict[str, Any]] for users to build headers in MCPToolset
fix: https://github.com/google/adk-python/issues/3156
PiperOrigin-RevId: 820412372
This change introduces a new `analyze_contribution` function in `query_tool.py` which uses BigQuery ML's `CREATE MODEL` with `CONTRIBUTION_ANALYSIS` type and `ML.GET_INSIGHTS` to analyze the contribution of different dimensions to a given metric. The new function is also added to the `bigquery_toolset`.
PiperOrigin-RevId: 815849281
