Sentry - Log LLM Exceptions

:::tip

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

:::

Sentry provides error monitoring for production. LiteLLM can add breadcrumbs and send exceptions to Sentry with this integration

Track exceptions for:

• litellm.completion() - completion()for 100+ LLMs
• litellm.acompletion() - async completion()
• Streaming completion() & acompletion() calls

Usage

Set SENTRY_DSN & callback

os.environ["SENTRY_DSN"] = "your-sentry-url"
litellm.failure_callback=["sentry"]

Sentry callback with completion

from litellm import completion 

litellm.input_callback=["sentry"] # adds sentry breadcrumbing
litellm.failure_callback=["sentry"] # [OPTIONAL] if you want litellm to capture -> send exception to sentry

os.environ["SENTRY_DSN"] = "your-sentry-url"
os.environ["OPENAI_API_KEY"] = "your-openai-key"

# set bad key to trigger error 
api_key="bad-key"
response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hey!"}], stream=True, api_key=api_key)

print(response)

Sample Rate Options

• SENTRY_API_SAMPLE_RATE: Controls what percentage of errors are sent to Sentry

  • Value between 0 and 1 (default is 1.0 or 100% of errors)
  • Example: 0.5 sends 50% of errors, 0.1 sends 10% of errors

• SENTRY_API_TRACE_RATE: Controls what percentage of transactions are sampled for performance monitoring

  • Value between 0 and 1 (default is 1.0 or 100% of transactions)
  • Example: 0.5 traces 50% of transactions, 0.1 traces 10% of transactions

These options are useful for high-volume applications where sampling a subset of errors and transactions provides sufficient visibility while managing costs.

Sentry Environment

• SENTRY_ENVIRONMENT: Specifies the environment name for your Sentry events (e.g., "production", "staging", "development")
  • Helps organize and filter errors by deployment environment in Sentry dashboard
  • Example: os.environ["SENTRY_ENVIRONMENT"] = "staging"
  • If not set, Sentry will use 'production' as the default environment

Redacting Messages, Response Content from Sentry Logging

Set litellm.turn_off_message_logging=True This will prevent the messages and responses from being logged to sentry, but request metadata will still be logged.

Let us know if you need any additional options from Sentry.