telemetry.dev launches LLM observability for agents

telemetry.dev’s strongest differentiator is connecting production traces, prompt experiments, and evaluations in one workflow. The market is crowded, so its long-term edge will depend on execution around privacy, integrations, and eval-to-production feedback loops.

• –OpenTelemetry and OTLP support reduce vendor lock-in and let teams reuse existing instrumentation.
• –One trace exposes the full agent path, making tool timeouts, runaway loops, cost spikes, and model failures easier to diagnose.
• –TypeScript and Python SDKs, plus integrations for popular providers and frameworks, lower adoption friction.
• –Prompt versions, datasets, evaluators, and production traces create a practical path from prompt changes to measurable outcomes.
• –Prompt capture is controllable, but teams still need to prevent sensitive data from entering custom logs, errors, or attributes.