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 powerful pattern for customizing code execution environments by extending a base `CodeExecutor`. It showcases how to inject setup code to prepare the environment before a user's code is run, enabling advanced use cases that require specific configurations.
As a practical example, this change implements `CustomCodeExecutor`, a subclass of `VertexAiCodeExecutor`, to solve the problem of rendering non-standard characters in `matplotlib` plots (Issue #2993). The custom executor programmatically adds a Japanese font to the `matplotlib` font manager at runtime.
This is achieved by overriding the `execute_code` method to add font files to execution input and prepend the necessary font-loading logic. This approach is not limited to fonts and can be adapted for other setup tasks.
Fixes: #2993
PiperOrigin-RevId: 825240143
This change introduces a new sample agent and documentation to demonstrate the usage of the `VertexAiCodeExecutor`.
The new agent, located at `vertex_code_execution/agent.py`, is a direct counterpart to the existing sample at `code_execution/agent.py`. The key difference is that this new agent uses `VertexAiCodeExecutor` to execute code within the Vertex AI Code Interpreter Extension, whereas the original sample uses `BuiltInCodeExecutor` to run code in the model's built-in sandbox.
A `README.md` file is also included to provide an overview, setup instructions, and sample usage for the new agent.
Related: #2993
PiperOrigin-RevId: 825239758
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
The computer_use sample now supports launching with a `user_data_dir` to maintain browser state across runs. The sample agent is updated to use a shared temporary directory for the browser profile, preserving login sessions and other data.
PiperOrigin-RevId: 823749082
While testing the bidi streaming sample agent, I noticed that the import was erroring and I think it's a typo -- the other bidi sample agents all import `from google.adk.agents.llm_agent`.
PiperOrigin-RevId: 823662586
