ci(tests): leverage uv run for environment mgmt

.github/workflows/python-unit-tests.yml

@@ -39,22 +39,15 @@ jobs:
     - name: Install uv
       run: curl -LsSf https://astral.sh/uv/install.sh | sh
 
-    - name: Install dependencies
-      run: |
-        uv venv .venv
-        source .venv/bin/activate
-        uv sync --extra test --extra eval --extra a2a
-
     - name: Run unit tests with pytest
       run: |
-        source .venv/bin/activate
         if [[ "${{ matrix.python-version }}" == "3.9" ]]; then
-          pytest tests/unittests \
+          uv run --frozen pytest tests/unittests \
             --ignore=tests/unittests/a2a \
             --ignore=tests/unittests/artifacts/test_artifact_service.py \
             --ignore=tests/unittests/tools/google_api_tool/test_googleapi_to_openapi_converter.py
         else
-          pytest tests/unittests \
+          uv run --frozen pytest tests/unittests \
             --ignore=tests/unittests/artifacts/test_artifact_service.py \
             --ignore=tests/unittests/tools/google_api_tool/test_googleapi_to_openapi_converter.py
         fi

CONTRIBUTING.md

@@ -114,6 +114,9 @@ For any changes that impact user-facing documentation (guides, API reference, tu
 
 3.  **Create and activate a virtual environment:**
 
+    `uv` automatically installs you environment when using `uv run`.
+    You may also manually control the `venv` as seen below.
+
     **NOTE**: ADK supports Python 3.9+. Python 3.11 and above is strongly recommended.
 
     Create a workspace venv using uv.