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Spanlens is an open-source LLM observability and monitoring platform for tracking AI model usage in production. By routing model requests through its proxy or drop-in SDK, teams can monitor token usage, cost, latency, errors, and streaming responses across supported providers while keeping their existing SDK calls. The platform provides detailed traces of AI agent runs, including nested model calls, tools, and retrieval steps, as well as alerts for cost spikes, errors, and latency changes. Teams can manage prompt versions, compare model and prompt performance with evaluations and experiments, and run evaluation checks in CI. Spanlens also supports exact-match caching, OpenTelemetry, data export, and self-hosting.
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