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.

tip

New to LiteLLM Callbacks?

• For proxy/server logging and observability, see the Proxy Logging Guide.
• To write your own callback logic, see the Custom Callbacks Guide.

Supported Callback Integrations

• Lunary
• Langfuse
• LangSmith
• Helicone
• Traceloop
• Athina
• Sentry
• PostHog
• Slack
• Arize
• PromptLayer

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

Related Cookbooks

Try out our cookbooks for code snippets and interactive demos:

• Langfuse Callback Example (Colab)
• Lunary Callback Example (Colab)
• Arize Callback Example (Colab)
• Proxy + Langfuse Callback Example (Colab)
• PromptLayer Callback Example (Colab)

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['LUNARY_PUBLIC_KEY'] = ""
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)