What features does Lunary offer for LLM observability and prompt management?

Lunary is an observability and prompt management platform for LLM-based applications, positioned for teams building internal tools, customer-facing chatbots, and autonomous agents. Its feature set covers four areas: analytics and replay, prompt management, tracing and dashboards, and quality/safety controls. The platform is available as a cloud workspace starting at $20 per user per month, and payment is required to activate a workspace; self-hosting is also listed as an option for teams that want to own their data.

Analytics and chat replay

Lunary's chatbot analytics are aimed at showing how an LLM performs in real time and how users actually interact with it — the gap between intended behavior and observed behavior. Chat replays let you reconstruct individual conversations rather than only reading aggregate metrics, which is the practical way to debug a bad answer or an abandoned session.

Prompt management

Prompt templates are a first-class feature, so prompts live in the platform rather than being hardcoded across your codebase. Combined with the 1-line integration the site advertises, this means you can change prompt content without redeploying the application. The listed capabilities include prompt templates alongside chat replays and analytics, which supports iterating on prompts against real traffic.

Tracing, classification, and dashboards

For agent and multi-step use cases, Lunary provides agent tracing so you can follow execution across steps and catch errors early. Topic classification groups incoming requests into categories, which is useful for spotting which user intents are failing. Custom dashboards let you assemble the metrics that matter to your team instead of relying on a fixed view.

Quality and safety controls

The platform includes score LLM responses, PII masking, and feedback tracking. Scoring and feedback tracking give you a way to attach quality signals to individual responses, while PII masking reduces the risk of sensitive data appearing in logs and replays.

Feature summary

How to decide if it fits

Choose Lunary if you need observability and prompt management in one place and want to avoid stitching together separate tools for replay, tracing, and prompt versioning. The self-hostable option matters if data ownership is a requirement. If you only need basic logging and never change prompts in production, the analytics and prompt features may be more than you need — in that case, confirm the current plan details on the pricing page before committing, since workspace activation requires payment.