google-cloud-aiplatform

Vertex AI API client library

google-cloud-aiplatform Permissive license Apache 2.0 Active ★ 903 v1.164.0 released 2026-08-12

Install

google-cloud-aiplatform on PyPI

pip

pip install google-cloud-aiplatform

uv

uv add google-cloud-aiplatform

poetry

poetry add google-cloud-aiplatform

Package facts

License	Apache 2.0 (permissive)
Python support	supports the current Python release (>=3.10)
Install friction	low — pure-Python wheel
Runtime dependencies	13 — google-api-core, google-auth, certifi, proto-plus, protobuf, packaging, google-cloud-storage, google-cloud-bigquery, google-cloud-resource-manager, google-genai, pydantic, typing_extensions, docstring_parser
Maintenance	actively maintained — 1 days since the last release
Last repo commit	2026-08-13
First released	2020-11-09
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: google_cloud_aiplatform-1.164.0-py2.py3-none-any.whl

Development Status :: 5 - Production/StableIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: InternetTopic :: Software Development :: Libraries :: Python Modules

About google-cloud-aiplatform

from the package's own PyPI description — quoted content, verbatim

Google Gemini Enterprise Agent Platform SDK for Python

.. note::

The Gemini Enterprise Agent Platform was formerly known as Vertex AI.

.. warning::

Upcoming Rebranding:

The agent_engines module will be rebranded as runtimes in an upcoming major release (not before 7/31/2026). See Agent Runtime <https://docs.cloud.google.com/gemini-enterprise-agent-platform/scale#agent-runtime>_ for details.

Additionally, the sandboxes, sessions, and memory_banks modules will be moved directly under the top-level client object:

.. list-table:: :header-rows: 1

  * - Current method
    - future method
  * - ``client.agent_engines.sandboxes``
    - ``client.sandboxes``
  * - ``client.agent_engines.sandboxes.snapshots``
    - ``client.sandboxes.snapshots``
  * - ``client.agent_engines.sandboxes.templates``
    - ``client.sandboxes.templates``
  * - ``client.agent_engines.sessions``
    - ``client.sessions``
  * - ``client.agent_engines.sessions.events``
    -...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Python SDK for building, deploying, and managing AI agents and generative AI applications on Google Cloud's Gemini Enterprise Agent Platform.

Low friction: pure-Python wheel with 13 runtime dependencies including google-auth, protobuf, and google-cloud-storage. Active maintenance with release 1 day old and last commit 2026-08-13. Supports Python 3.10–3.14.

Apache 2.0 permissive license allows commercial and private use with minimal restrictions.

Usage

pip install google-cloud-aiplatform

from google.cloud.aiplatform import types
client_result = types.Metric(name='exact_match')

Requires Python 3.10 or later and Google Cloud credentials for API access.

Verdict: Production-ready SDK for Google Cloud AI/agent development with active maintenance, no known vulnerabilities, and permissive Apache 2.0 licensing. Low install friction and broad Python version support (3.10–3.14) make it accessible. Note: upcoming major release (before 7/31/2026) will reorganize module structure; pin to <2.0.0 to avoid breaking changes.

Needs verification

Whether google-genai dependency introduces additional security or licensing considerations not captured in this package's metadata.
Specific performance or resource requirements for agent deployment and inference at scale.
Detailed prerequisites for Google Cloud authentication beyond standard credential mechanisms.

google cloud vertex ai sdkgemini agent platform pythonbuild deploy ai agents google cloudgenerative ai evaluation frameworkvertex ai client library