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Overview

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

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Default configuration

1

Ensure you have the latest version of Laminar

pip install -U lmnr[all]
2

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()]
3

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?"}
    ],
)
LiteLLM trace