We update both adk web run eval endpoint and adk eval cli to use the LocalService. The old method is marked as deprecated and will be removed in later PRs.
PiperOrigin-RevId: 785612708
Fixes#423
Related to #1670
- This avoids the `GeneratorExit` error thrown, which would crash OTel metric collection and cause `Failed to detach context` error.
- This also allows all function calls are processed when exit_loop is called together with other tools in the same LLmResponse.
A sample agent for testing:
```
from google.adk import Agent
from google.adk.agents.loop_agent import LoopAgent
from google.adk.tools.exit_loop_tool import exit_loop
worker_1 = Agent(
name='worker_1',
description='Worker 1',
instruction="""\
Just say job #1 is done.
If job #1 is said to be done. Call exit_loop tool.""",
tools=[exit_loop],
)
worker_2 = Agent(
name='worker_2',
description='Worker 2',
instruction="""\
Just say job #2 is done.
If job #2 is said to be done. Call exit_loop tool.""",
tools=[exit_loop],
)
work_agent = LoopAgent(
name='work_agent',
description='Do all work.',
sub_agents=[worker_1, worker_2],
max_iterations=5,
)
root_agent = Agent(
model='gemini-2.0-flash',
name='hello_world_agent',
description='hello world agent that can roll a check prime',
instruction="""Hand off works to sub agents.""",
sub_agents=[work_agent],
)
```
PiperOrigin-RevId: 785538101
Merge https://github.com/google/adk-python/pull/1195
## Summary
Updated the Toolbox Agent documentation to address a critical missing dependency that prevents the agent from running successfully.
## Changes Made
- **Added missing dependency**: Documented that `toolbox-core` must be installed via `pip install toolbox-core`
- **Improved documentation structure**: Added clear section numbering and better organization
- **Enhanced readability**: Fixed grammar, capitalization, and formatting throughout
- **Added Prerequisites section**: Set clear expectations before installation begins
- **Clarified optional steps**: Made it clearer when database creation can be skipped
## Problem Solved
The original documentation was missing a crucial step - installing the `toolbox-core` package. Without this dependency, users encounter an `ImportError: No module named 'toolbox-core'` when trying to use the `ToolboxToolset` class in ADK. This fix ensures users can successfully set up and run the agent without encountering import errors.
## Testing
- Verified the installation steps work correctly with the added dependency
- Confirmed the agent runs successfully after following the updated documentation
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/1195 from designcomputer:patch-1 b90c71fe95aa09a3dca069e91f14791f557ab2e3
PiperOrigin-RevId: 785487495
Merge https://github.com/google/adk-python/pull/1130
This enables the use of the `model-optimizer-*` family of models in vertex, as per the [documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/vertex-ai-model-optimizer#using-vertex-ai-model-optimizer).
To use this, ensure your location is set to `global` and pass a model optimizer model to an agent:
```python
root_agent = Agent(
model="model-optimizer-exp-04-09",
name="fast_and_slow_agent",
instruction="Answer any question the user gives you - easy or hard.",
generate_content_config=types.GenerateContentConfig(
temperature=0.01,
model_selection_config=ModelSelectionConfig(
feature_selection_preference=FeatureSelectionPreference.BALANCED
# Options: PRIORITIZE_QUALITY, BALANCED, PRIORITIZE_COST
)
),
)
```
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/1130 from calvingiles:feat-model-optimizer 1a76bfa22420edb07d83415dcea6dd0114084e8e
PiperOrigin-RevId: 784921913
Now the LangchainTool can wrap:
* Langchain StructuredTool (sync and async).
* Langchain @Tool (sync and async).
This enhance the flexibility for user and enables async functionalities.
PiperOrigin-RevId: 784728061
Jacky Wu
Xiang (Sean) Zhou
Ankur Sharma
Ariz Chang
Jianfeng Zeng
Liang Wu
Wei Sun (Jack)
Xuan Yang
Vasilii Novikov
Dana K. Williams
Google Team Member
Calvin Giles
Hangfei Lin