Merge https://github.com/google/adk-python/pull/3944
### Link to Issue or Description of Change
**1. Link to an existing issue (if applicable):** N/A
**2. Or, if no issue exists, describe the change:** fixing various typos in multiple files: see commit diffs for details
**Problem:**
Discovered typos while reading ADK repo
**Solution:**
Submitted this PR to fix them
### Testing Plan
N/A: changes only in comments, .md and docstrings.
**Unit Tests:**
- [N/A ] I have added or updated unit tests for my change.
- [X] All unit tests pass locally.
_Please include a summary of passed `pytest` results._
**Manual End-to-End (E2E) Tests:**
N/A
### 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.
- [N/A] I have commented my code, particularly in hard-to-understand areas.
- [N/A] 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.
- [N/A] I have manually tested my changes end-to-end.
- [N/A] Any dependent changes have been merged and published in downstream modules.
### Additional context
N/A
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3944 from didier-durand:fix-typos-a 02378a488d9a87ac9b6b7397fe9ad7c393faf16a
PiperOrigin-RevId: 868245940
We updated the one of the public methods on AgentEvaluator to take in eval metric configurations using a more formal EvalConfig data model.
We also mark "criteria" field on the method as deprecated.
Updated some integration test cases.
PiperOrigin-RevId: 814314134
We add a new metric for evaluating safety of Agent's response to ADK Eval. We delegate the actual implementation to Vertex Gen AI Eval SDK, so using this metric will require GCP project.
As a part of this change, we created (refactored) a simple Facade for vertex gen ai eval sdk.
PiperOrigin-RevId: 778580406
Additionally, few other small changes.
* Updated a test fixture to support the latest eval data schema. Somehow I missed doing that previously.
* Updated the `evaluation_generator.py` to use `run_async`, instead of `run`.
* Also, raise an informed error when dependencies required eval are not installed.
* Also, changed the behavior of AgentEvaluator.evaluate method to run all the evals, instead of failing at the first eval metric failure.
PiperOrigin-RevId: 775919127
Didier Durand
George Weale
Josh Soref
Google Team Member
Ankur Sharma
Wei Sun (Jack)
Xiang (Sean) Zhou
Selcuk Gun
Google ADK Member