chore: include contributing/ folder in autoformat.sh

Also formatted the files in that folder in this same commit.

PiperOrigin-RevId: 766885306

autoformat.sh

@@ -41,6 +41,13 @@ echo '---------------------------------------'
 isort tests/
 echo 'All done! ✨ 🍰 ✨'
 
+echo '---------------------------------------'
+echo '|  Organizing imports for contributing/...'
+echo '---------------------------------------'
+
+isort contributing/
+echo 'All done! ✨ 🍰 ✨'
+
 echo '---------------------------------------'
 echo '|  Auto-formatting src/...'
 echo '---------------------------------------'
@@ -52,3 +59,9 @@ echo '|  Auto-formatting tests/...'
 echo '---------------------------------------'
 
 find -L tests/ -type f -name "*.py" -exec pyink --config pyproject.toml {} +
+
+echo '---------------------------------------'
+echo '|  Auto-formatting contributing/...'
+echo '---------------------------------------'
+
+find -L contributing/ -type f -name "*.py" -exec pyink --config pyproject.toml {} +

contributing/samples/artifact_save_text/agent.py

@@ -19,15 +19,12 @@ from google.genai import types
 
 
 async def log_query(tool_context: ToolContext, query: str):
-    """Saves the provided query string as a 'text/plain' artifact named 'query'."""
+  """Saves the provided query string as a 'text/plain' artifact named 'query'."""
-    query_bytes = query.encode('utf-8')
+  query_bytes = query.encode('utf-8')
-    artifact_part = types.Part(
+  artifact_part = types.Part(
-      inline_data=types.Blob(
+      inline_data=types.Blob(mime_type='text/plain', data=query_bytes)
-          mime_type='text/plain',
+  )
-          data=query_bytes
+  await tool_context.save_artifact('query', artifact_part)
-      )
-    )
-    await tool_context.save_artifact('query', artifact_part)
 
 
 root_agent = Agent(

contributing/samples/bigquery/agent.py

@@ -19,7 +19,6 @@ from google.adk.tools.bigquery import BigQueryCredentialsConfig
 from google.adk.tools.bigquery import BigQueryToolset
 import google.auth
 
-
 RUN_WITH_ADC = False
 
 

contributing/samples/generate_image/agent.py

@@ -12,12 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from google.genai import Client
-from google.genai import types
-
 from google.adk import Agent
 from google.adk.tools import load_artifacts
 from google.adk.tools import ToolContext
+from google.genai import Client
+from google.genai import types
 
 # Only Vertex AI supports image generation for now.
 client = Client()

contributing/samples/google_search_agent/agent.py

@@ -12,10 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from google.genai import Client
-
 from google.adk import Agent
 from google.adk.tools import google_search
+from google.genai import Client
 
 # Only Vertex AI supports image generation for now.
 client = Client()

contributing/samples/hello_world/agent.py

@@ -65,6 +65,7 @@ async def check_prime(nums: list[int]) -> str:
       else f"{', '.join(str(num) for num in primes)} are prime numbers."
   )
 
+
 root_agent = Agent(
     model='gemini-2.0-flash',
     name='data_processing_agent',

contributing/samples/human_in_loop/main.py

@@ -13,25 +13,23 @@
 # limitations under the License.
 
 import asyncio
+import os
+from typing import Any
+from typing import Union
 
 import agent
 from dotenv import load_dotenv
-from typing import Any
-from typing import Union
 from google.adk.agents import Agent
 from google.adk.events import Event
 from google.adk.runners import Runner
-from google.adk.tools import LongRunningFunctionTool
 from google.adk.sessions import InMemorySessionService
+from google.adk.tools import LongRunningFunctionTool
 from google.genai import types
-
-import os
 from opentelemetry import trace
 from opentelemetry.exporter.cloud_trace import CloudTraceSpanExporter
 from opentelemetry.sdk.trace import export
 from opentelemetry.sdk.trace import TracerProvider
 
-
 load_dotenv(override=True)
 
 APP_NAME = "human_in_the_loop"

contributing/samples/jira_agent/agent.py

@@ -13,12 +13,13 @@
 # limitations under the License.
 
 from google.adk.agents import Agent
+
 from .tools import jira_tool
 
 root_agent = Agent(
     model='gemini-2.0-flash-001',
     name='jira_connector_agent',
-    description="This agent helps search issues in JIRA",
+    description='This agent helps search issues in JIRA',
     instruction="""
         To start with, greet the user
         First, you will be given a description of what you can do.
@@ -49,5 +50,4 @@ root_agent = Agent(
         - I currently support only **GET** and **LIST** operations.
     """,
     tools=jira_tool.get_tools(),
-
 )

contributing/samples/jira_agent/tools.py

@@ -17,7 +17,7 @@ from google.adk.tools.application_integration_tool.application_integration_tools
 jira_tool = ApplicationIntegrationToolset(
     project="your-gcp-project-id",  # replace with your GCP project ID
     location="your-regions",  # replace your regions
-    connection="your-integration-connection-name", #replace with your connection name
+    connection="your-integration-connection-name",  # replace with your connection name
     entity_operations={
         "Issues": ["GET", "LIST"],
     },
@@ -30,5 +30,4 @@ jira_tool = ApplicationIntegrationToolset(
     This tool is to call an integration to search for issues in JIRA
     
     """,
-
 )

contributing/samples/mcp_sse_agent/filesystem_server.py

@@ -16,6 +16,7 @@ import asyncio
 import os
 from pathlib import Path
 import sys
+
 from mcp.server.fastmcp import FastMCP
 
 # Create an MCP server with a name

contributing/samples/mcp_streamablehttp_agent/filesystem_server.py

@@ -16,6 +16,7 @@ import asyncio
 import os
 from pathlib import Path
 import sys
+
 from mcp.server.fastmcp import FastMCP
 
 # Create an MCP server with a name

contributing/samples/telemetry/agent.py

@@ -65,6 +65,7 @@ async def check_prime(nums: list[int]) -> str:
       else f"{', '.join(str(num) for num in primes)} are prime numbers."
   )
 
+
 root_agent = Agent(
     model='gemini-2.0-flash',
     name='data_processing_agent',

contributing/samples/telemetry/main.py

@@ -27,9 +27,9 @@ from opentelemetry.exporter.cloud_trace import CloudTraceSpanExporter
 from opentelemetry.sdk.trace import export
 from opentelemetry.sdk.trace import TracerProvider
 
-
 load_dotenv(override=True)
 
+
 async def main():
   app_name = 'my_app'
   user_id_1 = 'user1'