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OpenTelemetry - Tracing LLMs with any observability tool

OpenTelemetry is a CNCF standard for observability. It connects to any observability tool, such as Jaeger, Zipkin, Datadog, New Relic, Traceloop and others.

Getting Started​

Install the OpenTelemetry SDK:

pip install opentelemetry-api opentelemetry-sdk opentelemetry-exporter-otlp

Set the environment variables (different providers may require different variables):

OTEL_EXPORTER="otlp_http"
OTEL_ENDPOINT="https://api.traceloop.com"
OTEL_HEADERS="Authorization=Bearer%20<your-api-key>"

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

litellm.callbacks = ["otel"]

Redacting Messages, Response Content from OpenTelemetry Logging​

Redact Messages and Responses from all OpenTelemetry Logging​

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

Redact Messages and Responses from specific OpenTelemetry Logging​

In the metadata typically passed for text completion or embedding calls you can set specific keys to mask the messages and responses for this call.

Setting mask_input to True will mask the input from being logged for this call

Setting mask_output to True will make the output from being logged for this call.

Be aware that if you are continuing an existing trace, and you set update_trace_keys to include either input or output and you set the corresponding mask_input or mask_output, then that trace will have its existing input and/or output replaced with a redacted message.

Support​

For any question or issue with the integration you can reach out to the OpenLLMetry maintainers on Slack or via email.