This CL implements the class in the integrations folder, used specifically for the Skill Registry API.
Co-authored-by: Kathy Wu <wukathy@google.com>
PiperOrigin-RevId: 915627057
`gemini-1.*` and `gemini-2.0*` models are respectively deprecated and scheduled for shutdown on June 1, 2026. `gemini-2.5*` models are their successors.
No regressions in unit tests:
```
========================================================================================== 5583 passed, 2237 warnings in 84.91s (0:01:24) ===========================================================================================
```
PiperOrigin-RevId: 907663315
## Overview
This PR updates internal tutorials and demonstration guidance following the renaming of the database connectivity tools (`genai-toolbox` -> `mcp-toolbox`) and aligns resource downloads with the newly scoped artifact destinations.
## Changes
* Removed references to legacy `googleapis.github.io/genai-toolbox` pages.
* Updated download commands to pull binaries directly from the rebranded bucket.
* Bumped the embedded curl instruction default payload target to the newly stable `v1.1.0` release tier.
PiperOrigin-RevId: 900207615
Merge https://github.com/google/adk-python/pull/5218
### Link to Issue or Description of Change
**1. Link to an existing issue (if applicable):**
(None, this is a new sample)
**2. Or, if no issue exists, describe the change:**
**Problem:**
There was no sample demonstrating how to use `LocalEnvironment` with `EnvironmentToolset` for manual skill activation (discovering and loading skills by reading files) instead of using the pre-configured `SkillToolset`.
**Solution:**
Created a new sample `local_environment_skill` that demonstrates this pattern:
- Agent is instructed to find skills in `skills/` folder using the `find` command.
- Agent loads skills by reading `SKILL.md` using the `ReadFile` tool.
- Added a weather skill sample and reference data to demonstrate usage.
### Testing Plan
**Unit Tests:**
*(This is a sample/demonstration, so no new unit tests were added for the framework itself.)*
**Manual End-to-End (E2E) Tests:**
1. Ran `adk web contributing/samples`.
2. Interacted with the agent in the Web UI.
3. Prompt: "Can you check the weather in Sunnyvale?"
4. Verified that the agent successfully used `find` to locate the skill, read `SKILL.md`, read `weather_info.md`, and answered correctly.
### 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 manually tested my changes end-to-end.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/5218 from google:samples/local_env_skill 39404309e8b9237a279ecd6ed14bb87eb84098f0
PiperOrigin-RevId: 897229752
We recently overhauled our MCP Toolbox documentation and moved it to a new domain. This PR propagates that URL change here.
PiperOrigin-RevId: 896118946
We changed skills to use kebab case and created weather-skill, but forgot to get rid of weather_skill in the sample
Co-authored-by: Kathy Wu <wukathy@google.com>
PiperOrigin-RevId: 893597141
The `receive` method now accumulates function calls from multiple `LiveServerMessage` instances. These accumulated tool calls are yielded as a single `LlmResponse` containing all function call parts only when a turn_complete message is received.
Without the change, the tool_1's response is sent to the model as soon as it's generated, triggering a second call for tool_2. Upon receiving two consecutive tool_2's responses, the model utters the same message twice.
Fixes issue #4902
Co-authored-by: Liang Wu <wuliang@google.com>
PiperOrigin-RevId: 893197482
This change introduces the LocalEnvironment class, which allows agents to execute shell commands and perform file operations using asyncio subprocesses on the local machine. It includes support for a working directory and custom environment variables. A sample agent configuration is also added to demonstrate its usage.
Co-authored-by: Liang Wu <wuliang@google.com>
PiperOrigin-RevId: 890685517
This PR updates the `toolbox-adk` package version in the `pyproject.toml` and also updates the MCP Toolbox server version to the latest in the docs.
PiperOrigin-RevId: 890633573
This change introduces a new `SpannerAdminToolset` with tools for managing Google Cloud Spanner resources. The toolset includes functions to list and get details of Spanner instances and instance configurations, and to create, list databases. The new toolset is marked as experimental. Unit tests for the new admin tools are also added
PiperOrigin-RevId: 885116111
this sample can be used to test the latest gemini embedding model
Co-authored-by: Xiang (Sean) Zhou <seanzhougoogle@google.com>
PiperOrigin-RevId: 884574396
The AgentEngineSandboxCodeExecutor now has three initialization modes:
1. Create both an Agent Engine and sandbox if neither resource name is provided.
2. Creating a new sandbox within a provided agent_engine_resource_name.
3. Using a provided sandbox_resource_name.
PiperOrigin-RevId: 884088248
* Update the `toolbox-adk` package version to latest.
* Update `README.md` with the latest MCP Toolbox server version.
* Simplify Toolbox agent sample code with default toolset.
* Fix an error that says `cannot invoke close() on None`.
* Update Gemini model to `2.5` as `2.0` is deprecated.
PiperOrigin-RevId: 879400015
To use ADK tools, users can specify the tool name in a skill object's `additional_tools` and pass the tool in when initializing a SkillToolset.
Co-authored-by: Kathy Wu <wukathy@google.com>
PiperOrigin-RevId: 879230409
Previous rollback CL - cl/872951141
This change introduces a new search_catalog tool within the BigQuery toolset, enabling users to search for BigQuery assets across projects using the Dataplex Catalog API.
Key changes include:
- Adding google-cloud-dataplex as a dependency in pyproject.toml.
- Updating BigQuery credentials to include the Dataplex scope.
- Implementing get_dataplex_catalog_client in client.py to create Dataplex API clients.
- Creating search_tool.py with the search_catalog function, which constructs and executes Dataplex search queries.
- Adding extensive unit tests for the new Dataplex client and the search_catalog tool, covering various scenarios including query filtering and error handling.
- Updating the BigQuery toolset to include the new search_catalog tool.
- Updating the BigQuery samples README to mention the new tool.
PiperOrigin-RevId: 878435463
George Weale