Laminar
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Open-source platform for tracing and evaluating AI applications.
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Laminar is an open-source platform designed for tracing and evaluating AI applications. It allows developers to build, deploy, and monitor next-generation AI apps with features like complex async pipelines, a fast Rust backend, version control for production releases, and zero-latency-overhead logs for monitoring each pipeline node. Laminar provides observability, evals, and browser agent capabilities to help developers build reliable AI products.
To use Laminar, initialize it in your project with a single line of code. It automatically traces common LLM frameworks and SDKs. You can also manually trace any function using the `observe` function. Laminar provides real-time traces and browser agent observability to help debug and improve your AI app.
Laminar might be a good pick if you’re into AI tools, but since there’s no description, it’s a bit of a mystery what it offers exactly.
50K spans / month, 15 day data retention, 1 team member, 500 Index agent steps / month, Community support
100k spans / month (then $5 per 100k of additional spans), 30 day data retention, 2 team members, 2500 Index agent steps / month (then $10 per 1k steps), Priority email support
200k spans / month included (then $5 per 100k of additional spans), 90 day data retention, 3 team members included (then $25 per additional team member), 5000 Index agent steps / month (then $10 per 1k steps), Private Slack channel
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