Audience

Open-source LLM observability: log cost, latency, tokens, and agent traces for every OpenAI

About Spanlens

Spanlens is an open-source (MIT) LLM observability platform that lets developers monitor every call their application makes to OpenAI, Anthropic, Gemini, Mistral, OpenRouter, Azure OpenAI, or a local Ollama model. Integration takes one line: swap your client's baseURL to the Spanlens proxy, or run "npx @spanlens/cli init" and the wizard rewrites your code automatically. From that moment, every request is recorded with its model, token counts, latency, cost, and full prompt and response body, with streaming responses reconstructed automatically.

The dashboard turns that raw log into operational insight. Cost tracking breaks spend down per request, per model, and per end user, and parses prompt-cache tokens separately so you see real cache savings rather than sticker price. Agent tracing visualizes multi-step workflows as Gantt waterfalls and node-and-edge graphs, highlighting the critical path so you can find the slowest dependency chain in a fan-out.

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Company Information

Spanlens
Founded: 2026
South Korea
spanlens.io

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Product Details

Platforms Supported
Cloud

Spanlens Frequently Asked Questions

Q: What kinds of users and organization types does Spanlens work with?
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Spanlens Product Features