Lunary

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Introduction

Lunary describes itself as the AI platform for enterprises and an observability and prompt management platform for LLM-based apps. It shows how LLMs perform in real time and how users interact with chatbots, internal tools and customer-facing assistants.

Teams use it to monitor usage and improve from real feedback, closing the gap between a chatbot and its users.

Teams evaluating Lunary should decide early whether to self-host or use the cloud, because that choice shapes data retention and compliance reviews. Start by tracing one feature end to end, then add datasets and evaluations once you can see which conversations are failing and how often.

Keep the first rollout small: one feature, one dashboard and a weekly review of the worst-rated conversations.

Features

1. Real-time monitoring: LLM performance and usage.
2. Conversation insight: How users interact with bots.
3. Prompt management: Version prompts.
4. Feedback: Learn from user signals.

Pros

1. Simple pricing: Per-user monthly price.

Cons

1. Payment required: Workspaces need payment to activate.
2. Lighter eval tooling: Less testing depth than eval platforms.

Usage and Links (Example)

1. Create a workspace and add the SDK.
2. Watch conversations and feedback in the dashboard.
3. Iterate on prompts from the observed failures.

Resources:

• Lunary website

Pricing

Lunary’s site lists $20 per user a month, with payment required to activate a workspace.

Recommended for?

1. Teams running chatbots that want usage and quality visibility.

Conclusion

Lunary is a straightforward chatbot observability tool.

Pair it with an eval framework for pre-release testing.

On CheckOps, Lunary is filed under the Production monitoring & observability stage. Related tools listed here include Langfuse, Helicone, LangSmith, Arize Phoenix, Opik and LangWatch. Before standardising on one, compare recent maintenance activity, the pricing model as your usage grows, and the integrations you rely on today. Information on this page was verified against the official website, documentation and repository on 11 November 2026.