Spanlens
Open-source LLM observability in one line of code
Spanlens launched on June 3, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
Spanlens records every OpenAI, Anthropic, Gemini, Azure, and Ollama call with one line of code. Get cost, latency, agent traces with Critical Path, anomaly alerts, PII scan, and model-swap suggestions out of the box. MIT, self-hostable, free tier that doesn't punish growth.
Open source LLM observability and monitoring for OpenAI, Anthropic, and Gemini. Request logging, cost tracking, agent tracing. Self-hostable, MIT licensed.
Swap one baseURL. Get cost, latency and full agent traces for every provider you already ship on. streaming deadline, then the partial trace is still written. Spend, tokens and cache savings resolved per model and project, with prices refreshed for you. Spikes, error bursts and latency drift come with the model and project that caused them. Pin a version per request, then compare cost and score on real traffic. One header turns on exact-match caching. Hits skip the provider and bill zero. Grade with an API key, gate the merge, queue the unsure cases for a human. $ spanlens eval run tone 38 cases · 2 flagged score 0.91 · gate passed Agent traces Nested spans across tools, retrievals and…from spanlens.io
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