Callbacks

Use Callbacks to send Output Data to Posthog, Sentry etc

liteLLM provides input_callbacks, success_callbacks and failure_callbacks, making it easy for you to send data to a particular provider depending on the status of your responses.

liteLLM supports:

• Custom Callback Functions
• Langfuse
• LangSmith
• Helicone
• Traceloop
• Lunary
• Athina
• Sentry
• PostHog
• Slack

This is not an extensive list. Please check the dropdown for all logging integrations.

Quick Start

from litellm import completion

# set callbacks
litellm.input_callback=["sentry"] # for sentry breadcrumbing - logs the input being sent to the api
litellm.success_callback=["posthog", "helicone", "langfuse", "lunary", "athina"]
litellm.failure_callback=["sentry", "lunary", "langfuse"]

## set env variables
os.environ['SENTRY_DSN'], os.environ['SENTRY_API_TRACE_RATE']= ""
os.environ['POSTHOG_API_KEY'], os.environ['POSTHOG_API_URL'] = "api-key", "api-url"
os.environ["HELICONE_API_KEY"] = ""
os.environ["TRACELOOP_API_KEY"] = ""
os.environ["LUNARY_PUBLIC_KEY"] = ""
os.environ["ATHINA_API_KEY"] = ""
os.environ["LANGFUSE_PUBLIC_KEY"] = ""
os.environ["LANGFUSE_SECRET_KEY"] = ""
os.environ["LANGFUSE_HOST"] = ""

response = completion(model="gpt-3.5-turbo", messages=messages)