LLMonitor (Lunary): Open-Source LLM Observability Tool
LLMonitor, powered by Lunary, is an open-source platform for monitoring, debugging, and improving LLM-powered chatbots and agents.
Overview
LLMonitor, built on the Lunary platform, is an open-source observability and evaluation toolkit designed specifically for teams building with large language models. It gives AI developers the visibility they need into how their chatbots and autonomous agents actually perform in production, going beyond simple uptime checks to track prompts, results, costs, and user interactions in granular detail.
Beyond raw analytics, Lunary functions as a full AI developer platform—supporting internal knowledge management, customer support chatbot deployment, and autonomous agent monitoring. With a one-line SDK integration, teams can log every prompt and response, trace agent behavior step-by-step, and build custom dashboards to visualize usage patterns and spending. Features like PII masking and feedback tracking make it suitable for teams that need both performance insight and compliance assurance.
Whether you're running a small side project or scaling an enterprise-grade GenAI product, Lunary offers flexible deployment through self-hosting or the cloud, giving developers control over where their data lives while still benefiting from powerful observability tooling.
Capabilities & Features
- Observability
- LLM
- Chatbot Analytics
- Prompt Management
- Agent Tracing
- Debugging
- Open Source
- Self-Hosting
- AI Monitoring
- Evaluation
- PII Masking
- Feedback Tracking
Core Features
- Chatbot Analytics
- Prompt Templates
- Agent Tracing
- Custom Dashboards
- PII Masking
- Feedback Tracking
Use Cases
- Understanding chatbot user interactions and LLM performance patterns
- Helping teams access internal company knowledge and automate workflows
- Building customer-facing chatbots that reference documentation accurately
- Deploying and monitoring autonomous agents in production
- Debugging and iterating on prompts using real usage data
Best For
- AI Developers
- GenAI Teams
- Machine Learning Engineers
- Data Scientists
- Chatbot Developers
Pros
- •Simple one-line SDK integration speeds up adoption
- •Open-source Community Edition allows free self-hosting
- •Built-in PII masking supports privacy and compliance needs
- •Custom dashboards give flexible, tailored visibility into performance
- •Agent tracing helps pinpoint issues in complex autonomous workflows
Cons
- •Enterprise-grade self-hosting features (Docker, Kubernetes) require a paid plan
- •Advanced monitoring may involve a learning curve for teams new to observability tooling
- •Pricing scales with usage, which could add up for high-volume applications
- •Some features like agency-specific plans require direct contact rather than transparent self-serve pricing
How to Use
1. Sign up for the cloud version or set up self-hosting using the open-source Community Edition. 2. Add Lunary's SDK to your codebase with a single line of integration code. 3. Start logging prompts, responses, and agent traces automatically. 4. Use custom dashboards to analyze usage, costs, and performance trends. 5. Review feedback and PII-masked logs to debug issues and iterate on prompts. 6. Scale up to Team or Enterprise plans as your monitoring needs grow.
Frequently Asked Questions
Pricing
Lunary offers a free plan for personal projects with no credit card required, a Team plan starting at $20/month for scaling projects, and custom Enterprise pricing for larger organizations, with agency plans starting around $400/month.
Pricing data is provided as a summary. Visit the vendor website for full tier details.