> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.
# OpenAI integration
> Integrate with the OpenAI LLM using LangChain JavaScript.
**You are currently on a page documenting the use of OpenAI text completion models. The latest and most popular OpenAI models are [chat completion models](/oss/javascript/langchain/models).**
Unless you are specifically using `gpt-3.5-turbo-instruct`, you are probably looking for [this page instead](/oss/javascript/integrations/chat/openai/).
[OpenAI](https://en.wikipedia.org/wiki/OpenAI) is an artificial intelligence (AI) research laboratory.
This will help you get started with OpenAI completion models (LLMs) using LangChain. For detailed documentation on OpenAI features and configuration options, please refer to the [API reference](https://reference.langchain.com/javascript/langchain-openai/OpenAI).
## Overview
### Integration details
| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/llms/openai) | Downloads | Version |
| :----------------------------------------------------------------------------- | :--------------------------------------------------------------------- | :---: | :----------: | :----------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------: |
| [`OpenAI`](https://reference.langchain.com/javascript/langchain-openai/OpenAI) | [`@langchain/openai`](https://www.npmjs.com/package/@langchain/openai) | ❌ | ✅ | ✅ |  |  |
## Setup
To access OpenAI models you'll need to create an OpenAI account, get an API key, and install the `@langchain/openai` integration package.
### Credentials
Head to [platform.openai.com](https://platform.openai.com/) to sign up to OpenAI and generate an API key. Once you've done this set the `OPENAI_API_KEY` environment variable:
```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
export OPENAI_API_KEY="your-api-key"
```
If you want to get automated tracing of your model calls you can also set your [LangSmith](/langsmith/observability) API key by uncommenting below:
```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
# export LANGSMITH_TRACING="true"
# export LANGSMITH_API_KEY="your-api-key"
```
### Installation
The LangChain OpenAI integration lives in the `@langchain/openai` package:
```bash npm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
npm install @langchain/openai @langchain/core
```
```bash yarn theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
yarn add @langchain/openai @langchain/core
```
```bash pnpm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
pnpm add @langchain/openai @langchain/core
```
## Instantiation
Now you can instantiate the model and generate text completions:
```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { OpenAI } from "@langchain/openai"
const llm = new OpenAI({
model: "gpt-3.5-turbo-instruct",
temperature: 0,
maxTokens: undefined,
timeout: undefined,
maxRetries: 2,
apiKey: process.env.OPENAI_API_KEY,
// other params...
})
```
## Invocation
```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
const inputText = "OpenAI is an AI company that "
const completion = await llm.invoke(inputText)
completion
```
```text theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
develops and promotes friendly AI for the benefit of humanity. It was founded in 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, John Schulman, and Chris Olah. The company's mission is to create and promote artificial general intelligence (AGI) that is safe and beneficial to humanity.
OpenAI conducts research in various areas of AI, including deep learning, reinforcement learning, robotics, and natural language processing. The company also develops and releases open-source tools and platforms for AI research, such as the GPT-3 language model and the Gym toolkit for reinforcement learning.
One of the main goals of OpenAI is to ensure that the development of AI is aligned with human values and does not pose a threat to humanity. To this end, the company has established a set of principles for safe and ethical AI development, and it actively collaborates with other organizations and researchers in the field.
OpenAI has received funding from various sources, including tech giants like Microsoft and Amazon, as well as individual investors. It has also partnered with companies and organizations such as Google, IBM, and the United Nations to advance its research and promote responsible AI development.
In addition to its research and development
```
## Custom URLs
You can customize the base URL the SDK sends requests to by passing a `configuration` parameter like this:
```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
const llmCustomURL = new OpenAI({
temperature: 0.9,
configuration: {
baseURL: "https://your_custom_url.com",
},
});
```
You can also pass other `ClientOptions` parameters accepted by the official SDK.
If you are hosting on Azure OpenAI, see the [dedicated page instead](/oss/javascript/integrations/llms/azure).
***
## API reference
For detailed documentation of all `OpenAI` features and configurations head to the [API reference](https://reference.langchain.com/javascript/langchain-openai/OpenAI).
***
[Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
[Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/llms/openai.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).