LLM Observability for LiteLLM

Overview

LiteLLM is a framework/library for building LLM applications that simplifies accessing many models across different providers.

Default configuration

Ensure you have the latest version of Laminar

pip install -U lmnr[all]

Initialize Laminar and integrate the callback

You need to initialize Laminar before adding the callback to LiteLLM.

import litellm
from lmnr import Laminar, LaminarLiteLLMCallback

# 1. Initialize Laminar
Laminar.initialize(project_api_key="LMNR_PROJECT_API_KEY")

# 2. Integrate the callback
litellm.callbacks = [LaminarLiteLLMCallback()]

Run your code and see traces in Laminar

Example code:

import litellm
from lmnr import Laminar, LaminarLiteLLMCallback

Laminar.initialize(project_api_key="LMNR_PROJECT_API_KEY")
litellm.callbacks = [LaminarLiteLLMCallback()]

response = litellm.completion(
    model="gpt-4.1-nano",
    messages=[
      {"role": "user", "content": "What is the capital of France?"}
    ],
)

Introduction

AI Security

Governance & RBAC

Observability

Overview

Default configuration

​Overview

​Default configuration

Overview

Default configuration