LLM Observability

UnderstandeveryLLMcallyoumake

Cost, latency, errors, and usage — all in one place. One line of code. No architecture changes.

No credit card required. 1,000 events/month free.

tokenome.observer
Live Demo
cost

Cost trend

$12,100

+12.5% from last week

latency

Latency by route

142ms

p95 across all routes

errors

Error breakdown

0.3%

100 errors / 32,400 requests

requests

Request volume

8,247

+23% vs yesterday

models

Model usage

$320

12.7M tokens today

efficiency

Token efficiency

92%

6k wasted tokens today

Features

Everything you need to understand your LLM traffic

$1,247

saved this month

Cost clarity

See which models, routes, and features drive spend. Catch drift before the invoice arrives.

142ms

p95 latency

Latency tracking

p50, p95, p99 — watch where slowdowns start in your product, not just at the provider.

0.3%

error rate

Error patterns

Find failure clusters by route, environment, and feature before users report them.

One-line SDK

Wrap your existing LLM client. No architecture changes. Python first, OpenAI and Anthropic compatible.

from tokenome import wrap

client = wrap(openai.Client())

2.3M

events tracked

Real-time streams

Live cost, latency, and error streams with customizable widgets and alerts.

How it works

From zero to insights in 3 steps

01

Install

pip install tokenome-sdk. One line to wrap your LLM client.

02

Send

Tokenome captures metadata automatically. No changes to your request flow.

03

See

Cost, latency, errors, and usage — all in one dashboard, organized by route and model.

Pricing

Simple, transparent pricing

Start free. Upgrade when you need more events or team features.