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How does user analytics work?

On Keywords AI, we built a Users page to help you understand your users and their behavior on your LLM applications. With our user analytics feature, you can;
  • Track user LLM usage
  • Set user budget
  • Filter logs by user identifier
Users Page

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Enable user analytics in the code

You can pass a customer_params to the request to track the user’s behavior on your LLM applications.
Here is an example of how to send a user’s data with the parameter customer_params to Keywords AI in the OpenAI Python SDK.
from openai import OpenAI

client = OpenAI(
    base_url="https://api.keywordsai.co/api/",
    api_key="YOUR_KEYWORDSAI_API_KEY",
)

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "user", "content": "Tell me a long story"}
    ],
    extra_body={
        "customer_params": {
            "customer_identifier": "customer_1",
            "name": "Hendrix Liu", # optional parameter 
            "email": "hendrix@keywordsai.co" # optional parameter
        }
    }
)

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See user data on the platform

After you send the user’s data to Keywords AI, there are 3 places you can see the user’s data on the platform.

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1. Users page

You will see each user’s detail information and their LLM usage on the Users page and the side panel.
Users Page

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2. Dashboard page

There are several charts on the Dashboard page to help you understand your users’ behavior, including;
  • Top users
  • Daily active users count
  • LLM cost by user
Users Page

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3. Logs page

For each LLM log, you can see the corresponding user’s data in the side panel. You can also filter logs by choosing a User Identifier.
Users Page

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Create a user without sending a log