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@basproul/openai
Advanced tools
This package contains the LangChain.js integrations for OpenAI through their SDK.
npm install @langchain/openai @langchain/core
This package, along with the main LangChain package, depends on @langchain/core
.
If you are using this package with other LangChain packages, you should make sure that all of the packages depend on the same instance of @langchain/core.
You can do so by adding appropriate fields to your project's package.json
like this:
{
"name": "your-project",
"version": "0.0.0",
"dependencies": {
"@langchain/core": "^0.3.0",
"@langchain/openai": "^0.0.0"
},
"resolutions": {
"@langchain/core": "^0.3.0"
},
"overrides": {
"@langchain/core": "^0.3.0"
},
"pnpm": {
"overrides": {
"@langchain/core": "^0.3.0"
}
}
}
The field you need depends on the package manager you're using, but we recommend adding a field for the common yarn
, npm
, and pnpm
to maximize compatibility.
This package contains the ChatOpenAI
class, which is the recommended way to interface with the OpenAI series of models.
To use, install the requirements, and configure your environment.
export OPENAI_API_KEY=your-api-key
Then initialize
import { ChatOpenAI } from "@langchain/openai";
const model = new ChatOpenAI({
apiKey: process.env.OPENAI_API_KEY,
modelName: "gpt-4-1106-preview",
});
const response = await model.invoke(new HumanMessage("Hello world!"));
import { ChatOpenAI } from "@langchain/openai";
const model = new ChatOpenAI({
apiKey: process.env.OPENAI_API_KEY,
modelName: "gpt-4-1106-preview",
});
const response = await model.stream(new HumanMessage("Hello world!"));
This package also adds support for OpenAI's embeddings model.
import { OpenAIEmbeddings } from "@langchain/openai";
const embeddings = new OpenAIEmbeddings({
apiKey: process.env.OPENAI_API_KEY,
});
const res = await embeddings.embedQuery("Hello world");
To develop the OpenAI package, you'll need to follow these instructions:
yarn install
yarn build
Or from the repo root:
yarn build --filter=@langchain/openai
Test files should live within a tests/
file in the src/
folder. Unit tests should end in .test.ts
and integration tests should
end in .int.test.ts
:
$ yarn test
$ yarn test:int
Run the linter & formatter to ensure your code is up to standard:
yarn lint && yarn format
If you add a new file to be exported, either import & re-export from src/index.ts
, or add it to the entrypoints
field in the config
variable located inside langchain.config.js
and run yarn build
to generate the new entrypoint.
FAQs
OpenAI integrations for LangChain.js
The npm package @basproul/openai receives a total of 5 weekly downloads. As such, @basproul/openai popularity was classified as not popular.
We found that @basproul/openai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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