LLMonitor

LLMonitor is an AI Observability and Evaluation Platform that helps developers build AI applications with confidence. It offers prompt management, real-time analytics, and debugging tools for LLM-based apps.

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At a glance

Pricing

Freemium · Paid · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is LLMonitor?

LLMonitor, now branded as Lunary, is an AI Observability and Evaluation Platform designed to help developers build and manage LLM-based applications with confidence. It provides comprehensive tools for observability, prompt management, evaluations, and product analytics. Users can monitor LLM performance in real-time, understand user interactions, and debug agents with detailed traces and error stack traces. The platform supports various LLM use-cases, from internal tools to customer-facing applications, offering features like chat replays, topic classification, and custom dashboards. Lunary also emphasizes security with SOC 2 Type II and ISO 27001 certifications, PII masking, and self-hosting options for data control.

Best used for

Ideal for developers and data scientists who need to monitor the performance of their LLM applications, manage and iterate on prompts, and debug AI agents in production. Especially valuable for teams building reliable AI experiences and ensuring data security with features like PII masking and self-hosting.

Common actions

monitor LLM performance

manage prompts

debug AI agents

analyze user interactions

evaluate LLM responses

Capabilities

Key features

Observability
Prompt management
Evaluations
Product analytics
PII Masking
Self-hostable
Agent Tracing

Target Audience

developerdata scientistproduct managerstartup founder

Integrations

openailangchainlitellmflowise

Pricing & Plans

Freemium · Paid · Enterprise

Not publicly disclosed. Check llmonitor.com for current pricing.

FAQs

What is considered an 'event' for billing purposes?

An event or 'run' can be an API call to an inference API like OpenAI or LangChain, or a chat message within a thread. Lunary tracks various types of runs including 'llm', 'trace', 'chain', and 'embedding' to monitor your application's activity.

Does using Lunary impact the latency of my LLM calls?

No, Lunary SDKs are designed to run asynchronously, meaning they do not sit as a middleman between your code and inference APIs. This ensures that integrating Lunary does not impact the latency or performance of your LLM calls.

Can I self-host Lunary and is it free?

Yes, you can self-host the Community Edition of Lunary for free. The Enterprise Edition, which includes advanced features and support for Docker and Kubernetes, is a paid option. Lunary also offers a migration path from cloud to self-hosted plans.

How can I use Lunary to fine-tune my models?

In the Logs section, you can filter logs by criteria such as feedback and sentiment. Lunary allows you to export these filtered logs to a JSONL file, which can then be uploaded to platforms like OpenAI to fine-tune your models effectively.

What happens if I exceed my monthly event limit?

If you exceed your event limit for two consecutive days, your account will be temporarily limited, though data will still be captured. Full access is restored once you upgrade your account or stay below the limit for three consecutive days, allowing for occasional bursts.

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