What is the relationship between LLMonitor and Lunary?

LLMonitor officially rebranded to Lunary.ai to reflect its growth into a more comprehensive AI developer platform beyond just monitoring.

Can I self-host LLMonitor/Lunary?

Yes, it is open-source and provides official support for self-hosting via Docker and Kubernetes for teams requiring full data control.

Does it support LangChain?

Yes, it has a dedicated integration with LangChain for both Python and JavaScript, allowing you to track traces with minimal code changes.

How does it help with cost management?

It automatically calculates token usage and costs for every request, allowing you to see which users or models are consuming the most budget.

Is LLMonitor GDPR compliant?

Yes, especially when self-hosted, it allows you to keep all data within your own infrastructure, making it easier to comply with PII and GDPR regulations.

What languages can I use it with?

The platform primarily supports Python and JavaScript (Node.js) through official SDKs, but it can be integrated with other languages via its API.

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App testing

Freemium

LLMonitor

Open-source observability and analytics for AI agents. Track costs, trace prompts, monitor latency, and debug multi-step LLM workflows with ease.

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Rating

Reviews

Upvotes

3 months ago

Listed

App testing

Observability

LLM Monitoring

AI Agents

Analytics

Cost Tracking

Prompt Engineering

Open Source

Debugging

Developer Tools

Tool information

Provider

Lunary LLC

Platforms

Web

Self-hosted

Windows

Mac

Languages

English

API Available

Yes

Added to directory

3 months ago

Last updated

about 1 month ago

Rating

Not available

Pricing

Freemium

About LLMonitor

What the tool does and who it's for

LLMonitor (now rebranded as Lunary) is an open-source observability and analytics platform designed specifically for AI agents and LLM applications. It provides developers with comprehensive tools to track performance, monitor real-time costs, and debug complex multi-step agent workflows. The platform features request tracing, latency monitoring, and user tracking to help teams optimize their GenAI projects. By logging prompts and results, it enables instant search, data labeling for fine-tuning, and performance evaluation. LLMonitor is built to be enterprise-ready, offering features like RBAC, SSO, and the ability to self-host for maximum data security and GDPR compliance.

Key capabilities

Real-time request and response tracing for multi-step AI agents.

Detailed cost tracking and analytics per model and user.

Latency monitoring to identify performance bottlenecks.

Instant search and filtering for logged prompts and completions.

User tracking and satisfaction metrics to understand app interaction.

Self-hosting options with Docker or Kubernetes for data privacy.

Prompt playground for experimenting with templates without coding.

Data labeling capabilities to prepare datasets for model fine-tuning.

Evaluation tools to judge AI responses and ensure quality benchmarks.

Integrations with popular frameworks like LangChain and various LLM providers.

Pricing

Freemium — plans below

Free

Unlimited traces
Up to 100k requests per month
Community support
Basic observability
Open-source version

Pro

Enterprise

Contact sales

Self-hosted deployment
VPC support (Kubernetes/Docker)
SSO and RBAC
SOC-2 compliance
Dedicated support

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