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langchain-openai

An integration package connecting OpenAI and LangChain

Worth itPyPI Artificial IntelligenceReleased Aug 202669.5M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — langchain_openai-1.5.0-py3-none-any.whl
v1.5.0 · released 2026-08-13 · Python <4.0.0,>=3.10.0 · 4 runtime deps: certifi, langchain-core, openai, tiktoken

Yes. This is a production-stable, actively maintained integration package with low install friction, no security vulnerabilities, and permissive licensing. Install it if you're building a LangChain application and want to use OpenAI as your model provider—it's the standard way to do so.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires an OpenAI API key set in the OPENAI_API_KEY environment variable or passed at initialization.
  • Low install friction with a pure-wheel distribution.
  • Actively maintained with a release 1 day old and a commit from 2026-08-14.

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, making this suitable for most projects without licensing concerns.

last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 144,195 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 69,458,995 downloads/mo, #472 on PyPI

Verify before relying

pip install langchain-openai

from langchain_openai import ChatOpenAI

model = ChatOpenAI(model="gpt-4o-mini")
response = model.invoke("Hello")
  • Specific OpenAI models supported by this version beyond what the package name implies.
  • Whether all OpenAI service types (chat, embeddings, etc.) are equally well-supported or if some are experimental.
Same gist for agents: .md · .json

What it is and what it does

This package bridges OpenAI's API and LangChain, the popular framework for building applications with language models. It wraps OpenAI's official SDK to expose chat models, embeddings, and other services as LangChain-compatible components that can be chained with other tools, memory systems, and retrieval logic. The package depends on langchain-core (the base framework), openai (the official SDK), and tiktoken (for token counting).

It's designed for developers building LangChain applications who want to use OpenAI as their model provider without writing custom integration code. The package is actively maintained, supports Python 3.10 through 3.14, and carries no known security vulnerabilities. Installation is straightforward and requires only standard dependencies.

Use it for

  • Build a chatbot or conversational agent using OpenAI models within a LangChain application.
  • Create a retrieval-augmented generation (RAG) pipeline that uses OpenAI embeddings and chat models.
  • Chain OpenAI models with other LangChain tools, memory, and agents for complex workflows.
  • Integrate OpenAI's API into a larger LangChain system without writing custom wrapper code.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

This is a production-stable, actively maintained integration package with low install friction, no security vulnerabilities, and permissive licensing. Install it if you're building a LangChain application and want to use OpenAI as your model provider—it's the standard way to do so.

Install

langchain-openai on PyPI

Before you install

Low install friction with a pure-wheel distribution. Actively maintained with a release 1 day old and a commit from 2026-08-14. Depends on langchain-core, openai, tiktoken, and certifi—all standard, well-maintained packages.

Requires an OpenAI API key set in the OPENAI_API_KEY environment variable or passed at initialization.

License in practice

MIT license permits commercial and private use with minimal restrictions, making this suitable for most projects without licensing concerns.

Quickstart

pip install langchain-openai

from langchain_openai import ChatOpenAI

model = ChatOpenAI(model="gpt-4o-mini")
response = model.invoke("Hello")

Verify before relying

  • Specific OpenAI models supported by this version beyond what the package name implies.
  • Whether all OpenAI service types (chat, embeddings, etc.) are equally well-supported or if some are experimental.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release <4.0.0,>=3.10.0
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
certifilangchain-coreopenaitiktoken
MaintenanceActively maintained 1 days since the last release
Last repo commit
First released
Downloads69,458,995 / month, #472 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Artificial Intelligence

Evidence: langchain_openai-1.5.0-py3-none-any.whl

Tags

Capabilities
langchain openai integrationopenai api wrapper langchainllm integration openaiopenai embeddings langchainlangchain openai models
Topics
llm-integrationopenai-api

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See also langchain-anthropic · langchain-community · langchain-fireworks · langchain-mistralai · langchain-openrouter · langchain-tests · langchain-xai · langchain-aws · langchain-ollama · langchain-deepseek