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Creates a plugin flag to register a plugin with the adk api_server #2637

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igooch wants to merge 2 commits into google:main from igooch:cli-pass-plugin

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@igooch
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@igooch igooch commented Aug 20, 2025

feat: Enable Plugin Registration via adk api_server CLI

This PR adds support for registering plugins directly via the adk api_server command using a new --plugin option.

Main Logic Changes:

  • CLI Option: Added --plugin to cli_api_server in src/google/adk/cli/cli_tools_click.py to accept multiple plugin import paths.
  • Plugin Loading: In src/google/adk/cli/fast_api.py, the get_fast_api_app function now dynamically loads and instantiates classes passed to the plugins argument.
  • Runner Integration: Instantiated plugins are now passed to the AdkWebServer constructor, which in turn passes them to the Runner instance it creates in src/google/adk/cli/adk_web_server.py.
  • Unit Tests: Added test_agent_run_with_plugin to tests/unittests/cli/test_fast_api.py to verify plugin loading and execution, using patching to mock plugin imports and services.
  • This allows developers to use plugins without a custom server entry point, directly with the adk api_server command.

How to Use:

adk api_server . \
 --plugin my_package.my_module.MyFirstPlugin \
 --plugin another_package.other_module.MySecondPlugin

Fixes #2636

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Summary of Changes

Hello @igooch, I'm Gemini Code Assist1 ! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new --plugin command-line option to the adk api_server command, enabling developers to register and utilize custom plugins directly without requiring a custom server entry point. This enhancement streamlines the process of integrating custom functionalities into the ADK API server.

Highlights

  • CLI Enhancement: A new --plugin option is added to the adk api_server command, allowing users to specify multiple fully qualified paths to BasePlugin classes for registration.
  • Dynamic Plugin Loading: The get_fast_api_app function now includes logic to dynamically import and instantiate BasePlugin classes provided via the new --plugin option.
  • Runner Integration: Instantiated plugins are now passed to the AdkWebServer constructor, which then forwards them to the Runner instance, ensuring plugins are active within the server's operational flow.
  • Comprehensive Unit Testing: New unit tests, specifically test_agent_run_with_plugin, have been added to validate the end-to-end functionality of plugin loading and execution within the API server.
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@adk-bot adk-bot added bot triaged tools [Component] This issue is related to tools labels Aug 20, 2025
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Code Review

This pull request introduces a valuable feature for registering plugins via the adk api_server CLI. The implementation is well-structured, and the addition of unit tests is commendable. My main feedback concerns a potential TypeError during plugin instantiation, which could affect usability for developers. I've provided a suggestion to make the instantiation more robust. I also have a minor suggestion to improve the test mocks for better maintainability.

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igooch commented Aug 25, 2025

E2E Testing

  1. Create a Clean Virtual Environment and Install ADK-Python Development Version
    1.0 cd ~/adk-python
    1.1 python3 -m venv /tmp/adk-test-venv
    1.2 source /tmp/adk-test-venv/bin/activate
    1.3 uv build
    1.4 pip install dist/google_adk-1.12.0-py3-none-any.whl

  2. Create Test Plugins
    2.0 For this test we are using the quickstart weather agent.
    2.1 Create contributing/samples/quickstart/my_plugins.py with two sample plugins:

import logging
import time
from typing import Dict, Optional
from google.adk.agents.invocation_context import InvocationContext
from google.adk.events.event import Event
from google.adk.plugins.base_plugin import BasePlugin
from google.genai import types
class MetadataInjectionPlugin(BasePlugin):
 """A dummy plugin that injects metadata into events."""
 def __init__(self, name="metadata_injection_plugin"):
 super().__init__(name=name)
 async def on_event_callback(
 self, *, invocation_context: InvocationContext, event: Event
 ) -> Event:
 """Adds a custom metadata field to every event."""
 if not event.custom_metadata:
 event.custom_metadata = {}
 event.custom_metadata["injected_by_plugin"] = True
 return event
class RunTimingPlugin(BasePlugin):
 """A plugin to measure and log the duration of an agent run."""
 def __init__(self, name="run_timing_plugin"):
 super().__init__(name=name)
 self._start_times: Dict[str, float] = {}
 logging.info("RTP: RunTimingPlugin Initialized")
 async def before_run_callback(
 self, *, invocation_context: InvocationContext
 ) -> Optional[types.Content]:
 """Called at the beginning of a runner.run() or runner.run_async()."""
 session_id = invocation_context.session.id
 if session_id:
 self._start_times[session_id] = time.monotonic()
 logging.info(f"RTP: Run started for session {session_id}")
 else:
 logging.warning("RTP: before_run_callback called without session_id")
 return None # This hook can optionally return Content to prepend to the conversation
 async def after_run_callback(
 self, *, invocation_context: InvocationContext
 ) -> Optional[None]:
 """Called at the end of a runner.run() or runner.run_async()."""
 session_id = invocation_context.session.id
 if session_id and session_id in self._start_times:
 end_time = time.monotonic()
 duration = end_time - self._start_times.pop(session_id)
 logging.info(f"RTP: Run finished for session {session_id}. Duration: {duration:.4f} seconds.")
 elif session_id:
 logging.warning(f"RTP: after_run_callback called for session {session_id} but no start time found.")
 else:
 logging.warning("RTP: after_run_callback called without session_id")
 return None
  1. Add Google API Key
    3.1 Create contributing/samples/quickstart/.env file with GOOGLE_API_KEY="{$MY_API_KEY}"

  2. Add adk-python to PYTHONPATH
    4.0 Necessary so that Python can recognize the quickstart directory as a Python module.
    4.1 cd ~/adk-python
    4.2 PYTHONPATH=$PWD

  3. Run adk api_server with the Test Plugins

~/adk-python$ adk api_server ./contributing/samples/quickstart --plugin "contributing.samples.quickstart.my_plugins.MetadataInjectionPlugin" --plugin "contributing.samples.quickstart.my_plugins.RunTimingPlugin"
/tmp/adk-test-venv/lib/python3.13/site-packages/google/adk/cli/fast_api.py:192: UserWarning: [EXPERIMENTAL] InMemoryCredentialService: This feature is experimental and may change or be removed in future versions without notice. It may introduce breaking changes at any time.
 credential_service = InMemoryCredentialService()
/tmp/adk-test-venv/lib/python3.13/site-packages/google/adk/auth/credential_service/in_memory_credential_service.py:33: UserWarning: [EXPERIMENTAL] BaseCredentialService: This feature is experimental and may change or be removed in future versions without notice. It may introduce breaking changes at any time.
 super().__init__()
2025年08月25日 11:28:23,639 - INFO - my_plugins.py:31 - RTP: RunTimingPlugin Initialized
INFO: Started server process [2629300]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
  1. Create a Session via Curl
~$ curl -X POST http://localhost:8000/apps/agent/users/test_user_1/sessions/session_1 \
 -H "Content-Type: application/json" \
 -d '{}'
{"id":"session_1","appName":"agent","userId":"test_user_1","state":{},"events":[],"lastUpdateTime":1756103305.194144}

Server Output on Session Creation:

2025年08月25日 11:28:26,817 - INFO - adk_web_server.py:450 - New session created: session_1
INFO: 127.0.0.1:41920 - "POST /apps/agent/users/test_user_1/sessions/session_1 HTTP/1.1" 200 OK
  1. Send Request to the Agent via Curl
~$ curl -X POST http://localhost:8000/run \$ curl -X POST http://localhost:8000/run \
 -H "Content-Type: application/json" \
 -d '{
 "app_name": "agent",
 "user_id": "test_user_1",
 "session_id": "session_1",
 "new_message": {
 "role": "user",
 "parts": [{
 "text": "What is the weather in New York?"
 }]
 }
 }'
[
 {
 "content": {
 "parts": [
 {
 "functionCall": {
 "id": "adk-68fcc67a-6edf-4106-ad60-84337bd74331",
 "args": {
 "city": "New York"
 },
 "name": "get_weather"
 }
 }
 ],
 "role": "model"
 },
 "finishReason": "STOP",
 "customMetadata": {
 "injected_by_plugin": true
 },
 "usageMetadata": {
 "candidatesTokenCount": 6,
 "candidatesTokensDetails": [
 {
 "modality": "TEXT",
 "tokenCount": 6
 }
 ],
 "promptTokenCount": 169,
 "promptTokensDetails": [
 {
 "modality": "TEXT",
 "tokenCount": 169
 }
 ],
 "totalTokenCount": 175
 },
 "invocationId": "e-5d57da62-8beb-40b6-8130-0f59f10bcbf9",
 "author": "weather_time_agent",
 "actions": {
 "stateDelta": {},
 "artifactDelta": {},
 "requestedAuthConfigs": {}
 },
 "longRunningToolIds": [],
 "id": "88fb6719-7492-4a76-b6c2-4643463e90c1",
 "timestamp": 1756146510.979906
 },
 {
 "content": {
 "parts": [
 {
 "functionResponse": {
 "id": "adk-68fcc67a-6edf-4106-ad60-84337bd74331",
 "name": "get_weather",
 "response": {
 "status": "success",
 "report": "The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit)."
 }
 }
 }
 ],
 "role": "user"
 },
 "customMetadata": {
 "injected_by_plugin": true
 },
 "invocationId": "e-5d57da62-8beb-40b6-8130-0f59f10bcbf9",
 "author": "weather_time_agent",
 "actions": {
 "stateDelta": {},
 "artifactDelta": {},
 "requestedAuthConfigs": {}
 },
 "id": "3051b467-d3f7-4045-8d29-71d931f22adf",
 "timestamp": 1756146511.735478
 },
 {
 "content": {
 "parts": [
 {
 "text": "OK. The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\n"
 }
 ],
 "role": "model"
 },
 "finishReason": "STOP",
 "customMetadata": {
 "injected_by_plugin": true
 },
 "usageMetadata": {
 "candidatesTokenCount": 25,
 "candidatesTokensDetails": [
 {
 "modality": "TEXT",
 "tokenCount": 25
 }
 ],
 "promptTokenCount": 203,
 "promptTokensDetails": [
 {
 "modality": "TEXT",
 "tokenCount": 203
 }
 ],
 "totalTokenCount": 228
 },
 "invocationId": "e-5d57da62-8beb-40b6-8130-0f59f10bcbf9",
 "author": "weather_time_agent",
 "actions": {
 "stateDelta": {},
 "artifactDelta": {},
 "requestedAuthConfigs": {}
 },
 "id": "8e88e16e-3ae9-4b7e-acc4-374c236e7340",
 "timestamp": 1756146511.737461
 }
]

Confirmed that the returned json includes the data from our first plugin with "customMetadata": { "injected_by_plugin": true },

Server Output on Agent Request:

2025年08月25日 11:28:30,977 - INFO - envs.py:47 - Loaded .env file for agent at /usr/local/google/home/igooch/adk-python/contributing/samples/quickstart/.env
2025年08月25日 11:28:30,977 - INFO - envs.py:47 - Loaded .env file for agent at /usr/local/google/home/igooch/adk-python/contributing/samples/quickstart/.env
2025年08月25日 11:28:30,978 - INFO - plugin_manager.py:96 - Plugin 'MetadataInjectionPlugin' registered.
2025年08月25日 11:28:30,978 - INFO - plugin_manager.py:96 - Plugin 'RunTimingPlugin' registered.
2025年08月25日 11:28:30,978 - INFO - my_plugins.py:40 - RTP: Run started for session session_1
2025年08月25日 11:28:31,019 - INFO - google_llm.py:112 - Sending out request, model: gemini-2.0-flash, backend: GoogleLLMVariant.GEMINI_API, stream: False
2025年08月25日 11:28:31,019 - INFO - models.py:8204 - AFC is enabled with max remote calls: 10.
2025年08月25日 11:28:31,732 - INFO - _client.py:1740 - HTTP Request: POST https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent "HTTP/1.1 200 OK"
2025年08月25日 11:28:31,734 - INFO - google_llm.py:205 - Response received from the model.
2025年08月25日 11:28:31,734 - WARNING - types.py:5440 - Warning: there are non-text parts in the response: ['function_call'], returning concatenated text result from text parts. Check the full candidates.content.parts accessor to get the full model response.
2025年08月25日 11:28:31,754 - INFO - google_llm.py:112 - Sending out request, model: gemini-2.0-flash, backend: GoogleLLMVariant.GEMINI_API, stream: False
2025年08月25日 11:28:31,754 - INFO - models.py:8204 - AFC is enabled with max remote calls: 10.
2025年08月25日 11:28:32,435 - INFO - _client.py:1740 - HTTP Request: POST https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent "HTTP/1.1 200 OK"
2025年08月25日 11:28:32,437 - INFO - google_llm.py:205 - Response received from the model.
2025年08月25日 11:28:32,438 - INFO - my_plugins.py:53 - RTP: Run finished for session session_1. Duration: 1.4598 seconds.
2025年08月25日 11:28:32,439 - INFO - adk_web_server.py:914 - Generated 3 events in agent run
INFO: 127.0.0.1:56680 - "POST /run HTTP/1.1" 200 OK

Confirmed that this contains our log lines from our second plugin like RTP: Run finished for session session_1. Duration: 1.4598 seconds.

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@igooch Thank you for the contribution! We are adding support of plugins to adk web, adk api_server and adk deploy as well. We are introducing an App concept that will be used to configure the plugins. I will close this PR because our change will be released next week. Sorry about that!

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