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telemetry.dev

telemetry.dev

LLM observability for AI agents

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telemetry.dev shows each run of your AI agent as one trace. Each model call and tool call is a span with its duration, tokens, cost, and error. Prompts and evals use the same traces: change a prompt without a deploy, then run it on a dataset and compare the scores with production. Alerts tell you about errors, cost spikes, and agent loops. Connect with our TypeScript or Python SDK, or with the OpenTelemetry exporter that you already use.

telemetry.dev makers

Here are the founders, developers, designers and product people who worked on telemetry.dev

Aikins LaryeaBuilding telemetry.dev, Reflect, and NPC
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Ephraim Atta-DuncanBuilding telemetry.dev
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