Tags allow you to label queries and completions. This is useful to further segment your data. For example, you can label all the queries that are related to a specific feature or a specific company. Later on, this can also be useful for creating fine-tune datasets.
1

Setup the SDK

Python

Learn how to install the Python SDK.

JavaScript

Learn how to install the JS SDK.
2

Simplest: Identify OpenAI calls

The easiest way to get started adding tags is to send them when doing your OpenAI API calls.
const res = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello" }],
  tags: ["some-tag"]
})
If you’re using LangChain, you can similarly pass the tags on any LangChain object.
const chat = new ChatOpenAI({
  callbacks: [new LunaryHandler()],
});

const res = await chat.call([new HumanMessage("Hello!")], {
tags: ["some-tag"],
});
3

Advanced: Inject tag into context

You can also inject tags into the context of your code. This is useful if you want to tag all the queries that are related to a specific feature or a specific company.
Coming soon