Traceloop

Traceloop's primary differentiator is openness: traces follow the OpenLLMetry standard and export to whatever OpenTelemetry backend a team already uses. This dramatically reduces observability lock-in compared to proprietary LLM tracing platforms. Best fit for teams with existing OTel infrastructure who want to add LLM-specific semantic conventions without adopting a new data silo. Confidence is docs-derived.

Python and TypeScript SDKs with one-line auto-instrumentation. Trace data follows OpenLLMetry semantic conventions on top of OTLP. Export targets configurable at SDK init: Traceloop Cloud, Datadog, Honeycomb, Jaeger, or any OTLP-compatible backend. Minimal API surface beyond the SDK.

API key for Traceloop Cloud backend. Self-hosted OTel collectors require no Traceloop API key. SDK accepts destination endpoint and optional API key. Auth follows OTel exporter conventions (standard bearer or header-based).

SDK failures in trace export are non-blocking — LLM calls proceed regardless of telemetry state. OTel standard means fallback to alternative exporters is feasible without code changes. Backend reliability depends on the chosen OTel destination.

traceloop.com/docs covers auto-instrumentation setup, supported integrations, and export configuration. Getting started is genuinely fast — often 1–2 lines for existing OTel users. Community via Traceloop GitHub (open-source OpenLLMetry) and Discord.