Tool overview
Lunary is listed under AI Governance Safety & Evaluation AI tools.
What is Lunary?
Lunary helps teams trace LLM requests, manage prompts, build evaluation datasets, inspect costs, and collect user feedback across development and production. It supports collaborative engineering workflows from experimentation through monitored production use.
Best for
AI engineers and developers building production model applications
Who is it for?
Decision note
Re-researched from current official sources in two passes under V411. Preview only. Apply only after failures = 0, warnings = 0, unmapped = 0, all explicit clears are reviewed, image import is disabled or V380 dimensions pass, and one representative WordPress edit screen is checked against the CSV.
Key features
Request tracing with prompts and responses
Prompt versioning and collaboration
Evaluation datasets and automated checks
Cost, latency, and usage analytics
User feedback and production monitoring
Use cases
Debugging LLM application behavior
Comparing prompt versions
Running regression evaluations
Monitoring model cost and latency
Collecting product feedback
Pros
- Open-source self-hosting option
- Covers prompts, traces, and evaluations
- Useful development and production workflow
Cons
- Self-hosting requires operations work
- Advanced collaboration needs paid plans
- Evaluation quality depends on test design
Limitations
Lunary organizes observability and evaluation, but teams still need representative datasets, valid metrics, privacy controls, model access, and application-level testing. Important outputs should receive qualified human review before operational use.
Pricing details
Billing options
Pricing note
Free includes 10,000 monthly events, three projects, and 30 days of logs. Team is $20 per user monthly; Enterprise is custom. Community Edition can be self-hosted free.
Supported languages
- English
Integrations
OpenAI
Anthropic
LangChain
LiteLLM
Pydantic AI
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