skillfed

langchain-google-vertexai

An integration package connecting Google VertexAI and LangChain

langchain-google-vertexai Permissive license MIT Active 396 v3.2.4 released

Install

langchain-google-vertexai on PyPI

pip

pip install langchain-google-vertexai

uv

uv add langchain-google-vertexai

poetry

poetry add langchain-google-vertexai

Package facts

License MIT (permissive)
Python support supports the current Python release (<4.0.0,>=3.10.0)
Install friction low — pure-Python wheel
Runtime dependencies 11 — bottleneck, google-cloud-aiplatform, google-cloud-storage, google-cloud-vectorsearch, httpx-sse, httpx, langchain-core, numexpr, pyarrow, pydantic, validators
Maintenance actively maintained — 65 days since the last release
Last repo commit
First released
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: langchain_google_vertexai-3.2.4-py3-none-any.whl

About langchain-google-vertexai

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

langchain-google-vertexai

PyPI - Version (image) PyPI - License (image) PyPI - Downloads (image) Twitter (image)

Looking for the JS/TS version? Check out LangChain.js.

This package contains the LangChain integrations for Google Cloud generative models via the Vertex AI Platform.

Quick Install

pip install langchain-google-vertexai

📖 Documentation

For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using these classes, see the [LangChain...

Read as markdown · JSON record · Source repository · Homepage · Docs

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

Integrates Google Cloud's Vertex AI generative models with LangChain, enabling use of Google's AI services within LangChain applications for tasks like text generation, embeddings, and vector search.

Low friction: pure Python wheel with 11 runtime dependencies including langchain-core, google-cloud-aiplatform, and data processing libraries. Actively maintained with a recent release 65 days ago.

MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute this package freely provided you retain the license notice.

Usage

pip install langchain-google-vertexai

from langchain_google_vertexai import VertexAI
llm = VertexAI(model_name="gemini-pro")
response = llm.invoke("Hello, world!")

Requires Python 3.10 or later and Google Cloud credentials configured for Vertex AI access.

Verdict: A well-maintained, actively developed integration package with no known vulnerabilities, low install friction, and permissive MIT licensing. Suitable for production use in LangChain applications that need Vertex AI model access.

Needs verification

  • Whether google-cloud-aiplatform and google-cloud-storage require system-level GCP SDK installation or authentication setup beyond standard pip dependencies.
  • Performance characteristics and rate-limiting behavior when used with high-volume LangChain chains.
langchain google vertex ai integrationgoogle cloud generative models langchainvertex ai llm langchaingoogle cloud ai langchain connectorlangchain google cloud integration

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