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Adding a timeout

By default, LangChain will wait indefinitely for a response from the model provider. If you want to add a timeout, you can pass a timeout option, in milliseconds, when you instantiate the model. For example, for OpenAI:

npm install @langchain/openai
import { OpenAIEmbeddings } from "@langchain/openai";

const embeddings = new OpenAIEmbeddings({
timeout: 1000, // 1s timeout
});
/* Embed queries */
const res = await embeddings.embedQuery("Hello world");
console.log(res);
/* Embed documents */
const documentRes = await embeddings.embedDocuments(["Hello world", "Bye bye"]);
console.log({ documentRes });

API Reference:

Currently, the timeout option is only supported for OpenAI models.


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