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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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