Overview

You can monitor individual users’ activity in your AI products. Get insights into their usage patterns, preferences, and behavior, and take actions to improve the user experience.

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Why user analytics?

• Track user LLM usage: Understand which users are most active and contribute to your product’s success.
• Identify high-value users: Understand which users are most active and contribute to your product’s success.
• Optimize user experience: Tailor your product to meet the specific needs and preferences of different user groups.
• Improve retention: Retain high-value users by addressing their pain points and providing a seamless experience.

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Quick start

You can pass a customer_params to the request to track the user’s behavior on your LLM applications.

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
        }
    }
)