Track costs, latency, and quality drift across every OpenAI, Groq, and Anthropic call — integrated in three lines of code.
No credit card required · 10,000 requests free
Features
Built for developers who ship AI products and need real visibility without extra complexity.
See the exact cost of every API call. Broken down by model, endpoint, and time period. No more guessing your monthly bill.
Track response times across all your models. Catch slowdowns instantly and compare performance across providers.
Automated quality scoring with golden prompts. Know when your model outputs start degrading before users notice.
Three lines of code. Works as a drop-in wrapper around your existing OpenAI, Groq, or Anthropic client.
Manage all your AI projects in one place. Separate metrics, API keys, and settings per project.
Set cost caps, latency thresholds, and error rate alerts. Get notified via webhook when something needs attention.
How it works
Sign up free, create a project, and get your API key. The whole process takes under two minutes.
pip install llm-monitor. Works with Python 3.8+ and any OpenAI-compatible client.
Add three lines to your existing code. Your API calls keep working exactly the same way.
Costs, latency, and drift scores appear in real time. Set alerts, compare models, ship confidently.
1from llm_monitor import monitor2import openai34monitor.configure(5 api_key="lmd_your_key",6 project_id="your_project_id"7)89client = openai.OpenAI()10tracked = monitor.wrap_openai(client)1112"color:#555"># Identical to your existing code13response = tracked.chat.create(14 model="gpt-4o",15 messages=[{"role": "user", "content": "Hello"}]16)
Pricing
Start free. Scale as you grow. No hidden fees.
Perfect for side projects and experiments.
For teams shipping production AI features.
For large teams with custom requirements.
Free to start. No credit card needed. Takes five minutes to set up.