Instrumentation Methods

Choose between zero-code instrumentation or manual instrumentation for AI observability

OpenLIT SDK offers two ways to add opentelemetry-native observability to your AI applications:

Zero-code instrumentation

Runtime wrapper, no code changes needed

terminal

openlit-instrument \
  python app.py

Use when:

• Working with existing/production apps
• Code changes are restricted or risky

Manual instrumentation

Add 2 lines to your code for auto instrumentation

example.py

import openlit
openlit.init()

Use when:

• Building new applications
• Need custom spans or metadata
• Want advanced configuration options

Comparison

	Zero-code instrumentation	Manual instrumentation
Code changes	None	2 lines
Advanced features	Basic configuration	Full access to custom spans, metadata
Setup time	Instant	1 minute
Best for	Production apps, Existing Apps	New apps, custom needs

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Quickstart: LLM Observability

Production-ready AI monitoring setup in 2 simple steps with zero code changes

Integrations

60+ AI integrations with automatic instrumentation and performance tracking

Deploy OpenLIT Platform

Deployment options for scalable LLM monitoring infrastructure

Destinations

Send telemetry to Datadog, Grafana, New Relic, and other observability stacks