How Is Lunary Deployed, Priced, and Integrated Into an Existing LLM Stack?

Lunary is an observability and prompt management platform for LLM-based apps. It can be used as a cloud workspace starting at $20 per user per month (payment required to activate the workspace), or self-hosted if you want to own your data. Integration is advertised as a 1-line change, and the platform covers analytics, prompt templates, chat replays, agent tracing, and more. It fits teams that want to ship and monitor LLM features quickly while keeping a path to data control.

Deployment options

Lunary offers two deployment paths, and the choice mostly comes down to who should hold the data and how much operational work you want to take on.

The site lists "Own Your Data" and "Self Hostable" as platform capabilities, so self-hosting is a first-class option rather than an afterthought. If your LLM stack already handles sensitive prompts or user data, self-hosting lets you keep that data inside your own boundary while still using Lunary's tooling.

Pricing model

The published entry point is $20 per user / month for cloud workspaces, and payment is required to activate your workspace. That last detail matters: this is not a free-forever tier — you pay before the workspace becomes usable.

A few practical implications:

• Pricing scales per user, not per request or per token, based on the published signal. That makes cost predictable as traffic grows, but it means adding teammates raises the bill.
• Activation is gated by payment. Budget for this before you plan a trial rollout.
• The site also offers "Request a demo" and "Schedule a Demo," which is the usual route for enterprise or custom arrangements. Specific enterprise terms are not published, so treat them as a conversation rather than a listed price.

If you need exact current numbers beyond the $20 starting point, check the pricing page directly, since published figures can change.

Integration into an existing LLM stack

Lunary advertises a 1-line integration, which is the core of its low-friction pitch. The intent is that you add a small amount of code to your existing app and start capturing LLM data without restructuring your stack.

What that integration feeds into:

• Capture LLM data across your entire stack — the platform is positioned to collect data from wherever your LLM calls happen, not just one service.
• Chat replays — see how conversations actually unfolded.
• Analytics and topic classification — understand how users interact and where the chatbot falls short.
• Agent tracing — follow multi-step agent behavior and catch errors early.
• Prompt templates — manage and iterate on prompts centrally.
• Custom dashboards, scoring LLM responses, PII masking, and feedback tracking — the operational layer around monitoring.

The practical workflow looks like this:

1. Create or activate a workspace (cloud) or stand up a self-hosted instance.
2. Add the 1-line integration to your app so LLM calls are captured.
3. Use the dashboard to inspect traces, replays, and analytics.
4. Iterate on prompts and monitor whether quality improves.

The expected result is that you go from "we shipped an LLM feature" to "we can see what it's doing and why it fails" without building that observability layer yourself.

Which setup fits your team

• Choose the cloud workspace if you want the fastest start, don't mind Lunary hosting the data, and are comfortable with per-user pricing starting at $20/month with payment required up front.
• Choose self-hosting if data ownership, residency, or internal security rules are non-negotiable, and you have the capacity to run the service.
• Request a demo if you're an enterprise evaluating custom terms, since published pricing only covers the standard cloud entry point.

Common sticking points to plan for

• Payment before activation means you can't casually spin up a workspace to "just look around" — decide on budget first.
• Per-user pricing can surprise teams that expect usage-based billing; estimate your seat count before committing.
• Self-hosting shifts operational burden to you. "Self Hostable" means the capability exists, not that it's zero-maintenance.
• The 1-line integration is the starting point, not the whole job. Getting value from analytics, tracing, and prompt management still requires you to review the data and act on it.

For the most current deployment details and pricing, verify against Lunary's own site, since these are the figures and capabilities it publishes today.