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🔥 Arize AI - Logging LLM Input/Output

AI Observability and Evaluation Platform

tip

This is community maintained, Please make an issue if you run into a bug https://github.com/BerriAI/litellm

Pre-Requisites

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Quick Start

Use just 2 lines of code, to instantly log your responses across all providers with arize

litellm.callbacks = ["arize"]
import litellm
import os

os.environ["ARIZE_SPACE_KEY"] = ""
os.environ["ARIZE_API_KEY"] = "" # defaults to litellm-completion

# LLM API Keys
os.environ['OPENAI_API_KEY']=""

# set arize as a callback, litellm will send the data to arize
litellm.callbacks = ["arize"]

# openai call
response = litellm.completion(
model="gpt-3.5-turbo",
messages=[
{"role": "user", "content": "Hi 👋 - i'm openai"}
]
)

Using with LiteLLM Proxy

model_list:
- model_name: gpt-4
litellm_params:
model: openai/fake
api_key: fake-key
api_base: https://exampleopenaiendpoint-production.up.railway.app/

litellm_settings:
callbacks: ["arize"]

environment_variables:
ARIZE_SPACE_KEY: "d0*****"
ARIZE_API_KEY: "141a****"

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