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Merge branch 'main' into processing-best-practice

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Twisha Bansal
2026-02-11 13:41:11 +05:30
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parent 2d6a2a76d6 1f8019c50a
commit b29bb21c75
10 changed files with 147 additions and 80 deletions
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2
docs/en/getting-started/local_quickstart.md
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@@ -115,7 +115,7 @@ pip install google-genai
1. Update `my_agent/agent.py` with the following content to connect to Toolbox:
```py
{{< include "quickstart/python/adk/quickstart.py" >}}
{{< regionInclude "quickstart/python/adk/quickstart.py" "quickstart" >}}
```
<br/>

81
docs/en/getting-started/quickstart/js/adk/package-lock.json generated
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"integrity": "sha512-vMJzPewAlRyOgxV2dU0Cuz2O8zzzx9VYtbJOaBgXFeLc4IV/Eg50n4LowmehOOR61S8ZMpc2K5Sa7g6A4jfkUw==",
"version": "1.13.5",
"resolved": "https://registry.npmjs.org/axios/-/axios-1.13.5.tgz",
"integrity": "sha512-cz4ur7Vb0xS4/KUN0tPWe44eqxrIu31me+fbang3ijiNscE129POzipJJA6zniq2C/Z6sJCjMimjS8Lc/GAs8Q==",
"license": "MIT",
"dependencies": {
"follow-redirects": "^1.15.6",
"form-data": "^4.0.4",
"follow-redirects": "^1.15.11",
"form-data": "^4.0.5",
"proxy-from-env": "^1.1.0"
}
},
@@ -4248,9 +4248,10 @@
}
},
"node_modules/form-data": {
"version": "4.0.4",
"resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.4.tgz",
"integrity": "sha512-KrGhL9Q4zjj0kiUt5OO4Mr/A/jlI2jDYs5eHBpYHPcBEVSiipAvn2Ko2HnPe20rmcuuvMHNdZFp+4IlGTMF0Ow==",
"version": "4.0.5",
"resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.5.tgz",
"integrity": "sha512-8RipRLol37bNs2bhoV67fiTEvdTrbMUYcFTiy3+wuuOnUog2QBHCZWXDRijWQfAkhBj2Uf5UnVaiWwA5vdd82w==",
"license": "MIT",
"dependencies": {
"asynckit": "^0.4.0",
"combined-stream": "^1.0.8",

15
docs/en/getting-started/quickstart/js/langchain/package-lock.json generated
View File

@@ -18,7 +18,8 @@
"node_modules/@cfworker/json-schema": {
"version": "4.1.1",
"resolved": "https://registry.npmjs.org/@cfworker/json-schema/-/json-schema-4.1.1.tgz",
"integrity": "sha512-gAmrUZSGtKc3AiBL71iNWxDsyUC5uMaKKGdvzYsBoTW/xi42JQHl7eKV2OYzCUqvc+D2RCcf7EXY2iCyFIk6og=="
"integrity": "sha512-gAmrUZSGtKc3AiBL71iNWxDsyUC5uMaKKGdvzYsBoTW/xi42JQHl7eKV2OYzCUqvc+D2RCcf7EXY2iCyFIk6og==",
"peer": true
},
"node_modules/@google/generative-ai": {
"version": "0.24.1",
@@ -225,6 +226,7 @@
"version": "5.2.0",
"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
"integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
"peer": true,
"engines": {
"node": ">=10"
},
@@ -308,6 +310,7 @@
"version": "6.3.0",
"resolved": "https://registry.npmjs.org/camelcase/-/camelcase-6.3.0.tgz",
"integrity": "sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==",
"peer": true,
"engines": {
"node": ">=10"
},
@@ -420,6 +423,7 @@
"version": "1.2.0",
"resolved": "https://registry.npmjs.org/decamelize/-/decamelize-1.2.0.tgz",
"integrity": "sha512-z2S+W9X73hAUUki+N+9Za2lBlun89zigOyGrsax+KUQ6wKW4ZoWpEYBkGhQjwAjjDCkWxhY0VKEhk8wzY7F5cA==",
"peer": true,
"engines": {
"node": ">=0.10.0"
}
@@ -821,6 +825,7 @@
"version": "1.0.21",
"resolved": "https://registry.npmjs.org/js-tiktoken/-/js-tiktoken-1.0.21.tgz",
"integrity": "sha512-biOj/6M5qdgx5TKjDnFT1ymSpM5tbd3ylwDtrQvFQSu0Z7bBYko2dF+W/aUkXUPuk6IVpRxk/3Q2sHOzGlS36g==",
"peer": true,
"dependencies": {
"base64-js": "^1.5.1"
}
@@ -873,9 +878,9 @@
}
},
"node_modules/langsmith": {
"version": "0.4.3",
"resolved": "https://registry.npmjs.org/langsmith/-/langsmith-0.4.3.tgz",
"integrity": "sha512-vuBAagBZulXj0rpZhUTxmHhrYIBk53z8e2Q8ty4OHVkahN4ul7Im3OZxD9jsXZB0EuncK1xRYtY8J3BW4vj1zw==",
"version": "0.5.2",
"resolved": "https://registry.npmjs.org/langsmith/-/langsmith-0.5.2.tgz",
"integrity": "sha512-CfkcQsiajtTWknAcyItvJsKEQdY2VgDpm6U8pRI9wnM07mevnOv5EF+RcqWGwx37SEUxtyi2RXMwnKW8b06JtA==",
"license": "MIT",
"dependencies": {
"@types/uuid": "^10.0.0",
@@ -969,6 +974,7 @@
"version": "4.2.0",
"resolved": "https://registry.npmjs.org/mustache/-/mustache-4.2.0.tgz",
"integrity": "sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ==",
"peer": true,
"bin": {
"mustache": "bin/mustache"
}
@@ -1407,7 +1413,6 @@
"version": "3.25.76",
"resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz",
"integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==",
"peer": true,
"funding": {
"url": "https://github.com/sponsors/colinhacks"
}

44
docs/en/getting-started/quickstart/python/adk/quickstart.py
View File

@@ -1,6 +1,21 @@
# [START quickstart]
import asyncio
from google.adk import Agent
from google.adk.apps import App
from google.adk.runners import InMemoryRunner
from google.adk.tools.toolbox_toolset import ToolboxToolset
from google.genai.types import Content, Part
prompt = """
You're a helpful hotel assistant. You handle hotel searching, booking and
cancellations. When the user searches for a hotel, mention it's name, id,
location and price tier. Always mention hotel ids while performing any
searches. This is very important for any operations. For any bookings or
cancellations, please provide the appropriate confirmation. Be sure to
update checkin or checkout dates if mentioned by the user.
Don't ask for confirmations from the user.
"""
# TODO(developer): update the TOOLBOX_URL to your toolbox endpoint
toolset = ToolboxToolset(
@@ -8,10 +23,35 @@ toolset = ToolboxToolset(
)
root_agent = Agent(
name='root_agent',
name='hotel_assistant',
model='gemini-2.5-flash',
instruction="You are a helpful AI assistant designed to provide accurate and useful information.",
instruction=prompt,
tools=[toolset],
)
app = App(root_agent=root_agent, name="my_agent")
# [END quickstart]
queries = [
"Find hotels in Basel with Basel in its name.",
"Can you book the Hilton Basel for me?",
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
"My check in dates would be from April 10, 2024 to April 19, 2024.",
]
async def main():
runner = InMemoryRunner(app=app)
session = await runner.session_service.create_session(
app_name=app.name, user_id="test_user"
)
for query in queries:
print(f"\nUser: {query}")
user_message = Content(parts=[Part.from_text(text=query)])
async for event in runner.run_async(user_id="test_user", session_id=session.id, new_message=user_message):
if event.is_final_response() and event.content and event.content.parts:
print(f"Agent: {event.content.parts[0].text}")
if __name__ == "__main__":
asyncio.run(main())

26
docs/en/getting-started/quickstart/python/quickstart_test.py
View File

@@ -41,31 +41,29 @@ def golden_keywords():
class TestExecution:
"""Test framework execution and output validation."""
_cached_output = None
@pytest.fixture(scope="function")
def script_output(self, capsys):
"""Run the quickstart function and return its output."""
# TODO: Add better validation for ADK once we have a way to capture its
# output.
if ORCH_NAME == "adk":
return quickstart.app.root_agent.name
else:
if TestExecution._cached_output is None:
asyncio.run(quickstart.main())
return capsys.readouterr()
out, err = capsys.readouterr()
TestExecution._cached_output = (out, err)
class Output:
def __init__(self, out, err):
self.out = out
self.err = err
return Output(*TestExecution._cached_output)
def test_script_runs_without_errors(self, script_output):
"""Test that the script runs and produces no stderr."""
if ORCH_NAME == "adk":
return
assert script_output.err == "", f"Script produced stderr: {script_output.err}"
def test_keywords_in_output(self, script_output, golden_keywords):
"""Test that expected keywords are present in the script's output."""
if ORCH_NAME == "adk":
assert script_output == "root_agent"
return
output = script_output.out
missing_keywords = [kw for kw in golden_keywords if kw not in output]
assert not missing_keywords, f"Missing keywords in output: {missing_keywords}"

6
docs/en/how-to/connect-ide/postgres_mcp.md
View File

@@ -32,7 +32,7 @@ to expose your developer assistant tools to a Postgres instance:
{{< notice tip >}}
This guide can be used with [AlloyDB
Omni](https://cloud.google.com/alloydb/omni/current/docs/overview).
Omni](https://cloud.google.com/alloydb/omni/docs/overview).
{{< /notice >}}
## Set up the database
@@ -40,10 +40,10 @@ Omni](https://cloud.google.com/alloydb/omni/current/docs/overview).
1. Create or select a PostgreSQL instance.
* [Install PostgreSQL locally](https://www.postgresql.org/download/)
* [Install AlloyDB Omni](https://cloud.google.com/alloydb/omni/current/docs/quickstart)
* [Install AlloyDB Omni](https://cloud.google.com/alloydb/omni/docs/quickstart)
1. Create or reuse [a database
user](https://cloud.google.com/alloydb/omni/current/docs/database-users/manage-users)
user](https://docs.cloud.google.com/alloydb/omni/containers/current/docs/database-users/manage-users)
and have the username and password ready.
## Install MCP Toolbox

13
docs/en/how-to/deploy_adk_agent.md
View File

@@ -83,15 +83,12 @@ Toolbox instead of the local address.
2. Open your agent file (`my_agent/agent.py`).
3. Update the `ToolboxSyncClient` initialization to use your Cloud Run URL.
3. Update the `ToolboxToolset` initialization to point to your Cloud Run service URL. Replace the existing initialization code with the following:
{{% alert color="info" %}}
Since Cloud Run services are secured by default, you also need to provide an
authentication token.
{{% alert color="info" title="Note" %}}
Since Cloud Run services are secured by default, you also need to provide a workload identity.
{{% /alert %}}
Replace your existing client initialization code with the following:
```python
from google.adk import Agent
from google.adk.apps import App
@@ -132,14 +129,14 @@ app = App(root_agent=root_agent, name="my_agent")
Run the deployment command:
```bash
make backend
make deploy
```
This command will build your agent's container image and deploy it to Vertex AI.
## Step 6: Test your Deployment
Once the deployment command (`make backend`) completes, it will output the URL
Once the deployment command (`make deploy`) completes, it will output the URL
for the Agent Engine Playground. You can click on this URL to open the
Playground in your browser and start chatting with your agent to test the tools.

1
docs/en/samples/pre_post_processing/python.md
View File

@@ -25,7 +25,6 @@ The following example demonstrates how to use `ToolboxClient` with LangChain's m
{{< include "python/langchain/agent.py" >}}
```
For more information, see the [LangChain Middleware documentation](https://docs.langchain.com/oss/python/langchain/middleware/custom#wrap-style-hooks).
You can also add model-level (`wrap_model`) and agent-level (`before_agent`, `after_agent`) hooks to intercept messages at different stages of the execution loop. See the [LangChain Middleware documentation](https://docs.langchain.com/oss/python/langchain/middleware/custom#wrap-style-hooks) for details on these additional hook types.
{{% /tab %}}
{{< /tabpane >}}

22
docs/en/samples/pre_post_processing/python/agent_test.py
View File

@@ -23,19 +23,11 @@ ORCH_NAME = os.environ.get("ORCH_NAME")
module_path = f"python.{ORCH_NAME}.agent"
agent = importlib.import_module(module_path)
@pytest.fixture(scope="module")
def golden_keywords():
"""Loads expected keywords from the golden.txt file."""
golden_file_path = Path(__file__).resolve().parent.parent / "golden.txt"
if not golden_file_path.exists():
pytest.fail(f"Golden file not found: {golden_file_path}")
try:
with open(golden_file_path, "r") as f:
return [line.strip() for line in f.readlines() if line.strip()]
except Exception as e:
pytest.fail(f"Could not read golden.txt: {e}")
GOLDEN_KEYWORDS = [
"AI:",
"Loyalty Points",
"POLICY CHECK: Intercepting 'update-hotel'",
]
# --- Execution Tests ---
class TestExecution:
@@ -51,9 +43,9 @@ class TestExecution:
"""Test that the script runs and produces no stderr."""
assert script_output.err == "", f"Script produced stderr: {script_output.err}"
def test_keywords_in_output(self, script_output, golden_keywords):
def test_keywords_in_output(self, script_output):
"""Test that expected keywords are present in the script's output."""
output = script_output.out
print(f"\nAgent Output:\n{output}\n")
missing_keywords = [kw for kw in golden_keywords if kw not in output]
missing_keywords = [kw for kw in GOLDEN_KEYWORDS if kw not in output]
assert not missing_keywords, f"Missing keywords in output: {missing_keywords}"