User Metrics

Monitor individual user interactions with your LLM applications. Track per-user request volumes, costs, and usage patterns across your AI services.

Introduction

Dive deep into individual user activity within your AI applications, uncovering usage trends and optimizing resource allocation for improved performance and user satisfaction.

See user metrics such as the number of requests, costs, and activities.

Why User Metrics

• Gain detailed insights into individual user activity
• Track per-user request volumes, costs, and usage patterns
• Optimize resource allocation based on user-specific trends
• Improve performance and detect potential abuse

Quick Start

Step 1: Add User ID

There are two ways to specify users in your requests:

Option 1: Using OpenAI API

The OpenAI API has an optional user parameter, where you can specify an end-user to help OpenAI to monitor and detect abuse. Learn more here.

Option 2: Sending the User ID via Helicone

Alternatively, you can send a prompt with the header Helicone-User-Id to include the user ID. The value must be a string, for example, use an email or the user ID.

Curl

curl https://oai.helicone.ai/v1/completions \
  -H 'Content-Type: application/json' \
  -H 'Helicone-Auth: Bearer YOUR_API_KEY' \
  -H 'Helicone-User-Id: "[e-mail]"' # Add this header

Step 2: View Detailed Metrics

Once set up correctly, you will be able to see detailed user metrics under the Users tab.

See overview, usage and detailed logs for a specific user.

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Need more help?

Additional questions or feedback? Reach out to [e-mail] or schedule a call with us.