Merge https://github.com/google/adk-python/pull/3282
The `process_bind_param` and `process_result_value` methods in the `DynamicPickleType` class have been modified to handle MySQL dialect in addition to Spanner. This change ensures that pickled values are correctly processed for both database types.
**Please ensure you have read the [contribution guide](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) before creating a pull request.**
### Link to Issue or Description of Change
**1. Link to an existing issue (if applicable):**
- Closes: #3283
**2. Or, if no issue exists, describe the change:**
_If applicable, please follow the issue templates to provide as much detail as
possible._
**Problem:**
When using `DatabaseSessionService` with MySQL backend in google-adk v1.17.0, the application crashes with the following error: app.resources.runner:event_generator:260 - Error in event_generator: (builtins.TypeError) 'tuple' object cannot be interpreted as an integer
<img width="1237" height="129" alt="image" src="https://github.com/user-attachments/assets/0a5fc223-600a-4a92-8443-4d37fb1267f6" />
Root cause: The `DynamicPickleType` class in `database_session_service.py` configures MySQL dialect to use `LONGBLOB` for storing pickled data (line 117-118), but the `process_bind_param` and `process_result_value` methods only handle pickle serialization/deserialization for Spanner dialect, not MySQL. This causes MySQL to attempt storing raw Python objects instead of pickled bytes, leading to serialization errors and potential data corruption.
**Solution:**
Added MySQL to the pickle serialization logic in both `process_bind_param` and `process_result_value` methods, treating it the same way as Spanner dialect. This ensures that:
- Data is properly pickled to bytes before being stored in MySQL's LONGBLOB column
- Data is properly unpickled when retrieved from the database
- No breaking changes to existing functionality for other dialects (SQLite, PostgreSQL)
### Testing Plan
_Please describe the tests that you ran to verify your changes. This is required
for all PRs that are not small documentation or typo fixes._
**Unit Tests:**
- [x] I have added or updated unit tests for my change.
- [x] All unit tests pass locally.
**Summary of `pytest` results:**
<img width="929" height="306" alt="image" src="https://github.com/user-attachments/assets/3d548b96-ac49-4101-8405-a289a722293c" />
**Manual End-to-End (E2E) Tests:**
_Please provide instructions on how to manually test your changes, including any
necessary setup or configuration. Please provide logs or screenshots to help
reviewers better understand the fix._
### Checklist
- [x] I have read the [CONTRIBUTING.md](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) document.
- [x] I have performed a self-review of my own code.
- [x] I have commented my code, particularly in hard-to-understand areas.
- [x] I have added tests that prove my fix is effective or that my feature works.
- [x] New and existing unit tests pass locally with my changes.
- [x] I have manually tested my changes end-to-end.
- [x] Any dependent changes have been merged and published in downstream modules.
### Additional context
_Add any other context or screenshots about the feature request here._
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3282 from hung12ct:fix/mysql-pickle-serialization d9df37adb7dfbbfd8502a0fe65c4f8bca3d0d978
PiperOrigin-RevId: 825834360
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
Session input file contains fields that are needed to run evals and later be able retrieve the session generated by them.
Co-authored-by: Ankur Sharma <ankusharma@google.com>
PiperOrigin-RevId: 825742522
We also change VertexAiSessionService and VertexAiMemoryBankService to both use keyword arguments for project, location, agent engine id, and express mode api key
PiperOrigin-RevId: 825719331
Previously this will return true for events yielded from before_agent_callback when there are state changes.
Note with this change, it will also return false for state delta only callbacks even after main response, but this is fine as long as the actual final response event has it to be true.
Closes#2992
PiperOrigin-RevId: 825313208
Previously this will return true for events yielded from before_agent_callback when there are state changes.
Note with this change, it will also return false for state delta only callbacks even after main response, but this is fine as long as the actual final response event has it to be true.
Closes#2992
PiperOrigin-RevId: 825279439
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>
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
