User Tracking

Identify your users, track their cost, conversations and more.

User tracking

The strict minimum to enable user tracking is to report a userId, however you can report any property you'd like such as an email or name using an userProps object.

Tracking users with the backend SDK

Identify OpenAI calls

The easiest way to get started tracking users is to send user data with every OpenAI API call.

chat_completion =
messages=[{"role": "user", "content": "Hello"}],
user_props={ "name": "John" }

If you're using LangChain, you can similarly pass user data as metadata.

handler = LunaryCallbackHandler()
chat = ChatOpenAI(
"user_id": "user123"
}, # Assigning user ids to models in the metadata

Advanced: Inject user into context

When tracking traces, you can inject user data into the context using the identify methods. This will cascade down to all the child runs.

import lunary
def my_agent():
# Some AI queries
# Everything done in this context will be tracked with the user
def main():
# Using identify to inject the user into the context
with lunary.identify('user123', user_props={"email": ""}):

Identifying users on the frontend

If you are tracking chat messages or feedback on the frontend, you can use the identify method to identify the user there.

lunary.identify("user123", {
email: ''

Identifying Threads

If you are using threads to track conversations, you can pass userId and userProps to the openThread method.

const thread = await lunary.openThread({
userId: "user123",
userProps: { name: "John" },

User Properties

While you can track any property you'd like, we recommend using the following ones:

nameName of the user
emailEmail of the user
avatarURL to an avatar
groupGroup or company ID the user belongs to

Questions? We're here to help.