Compare your options
Your AI, in the clear
Understand every
LLM interaction.
Trace agent runs, evaluate responses, and manage prompts in one workspace. Find the failure, test the change, and ship with evidence.
Python & TypeScript SDKs Cloud or self-hosted
lunary / agent trace
ObservabilityExample trace
Every step tells a story.
From the first prompt to the final answer.
Explore the trace view Used by teams building AI at
One workspace. A complete feedback loop.
See what happened.
Make the next response better.
Connect production behavior to the decisions that improve it.
Follow the trace. Find the cause.
Inspect the prompts, model calls, and tool steps behind an agent response. See errors, latency, and costs in context.
Explore LLM observabilityTest the change before you ship it.
Compare models and prompt versions on your datasets. Define what a good response looks like and inspect the results.
Explore LLM evaluations
Give every prompt a version history.
Edit, test, and release prompts with your team. Keep production versions organized and roll back when you need to.
Explore prompt management
Built for the people behind the product
Different roles.
Shared understanding.
Give engineering, product, and platform teams a common view of how your AI is performing.
For AI engineers
Less guesswork. Better debugging.
Follow agent behavior from the user request to the model and tool calls behind it.
Explore the workflowFor Product teamsBring real conversations into the loop.
Review responses, collect feedback, and collaborate on prompts with your engineers.
Explore the workflowFor Platform teamsMake AI operations visible.
Understand usage and costs, review access, and choose the deployment that fits your team.
Explore the workflowFits the stack you already use
Your models.
Your infrastructure.
Your call.
Instrument your application with Python or TypeScript. Connect model calls and agent activity, then choose cloud hosting or a self-hosted deployment.
Make an informed choice
Good decisions start with a closer look.
Choose by workflow
Start with the problem you need to solve.
Look a little closer
Compare the details that matter.
Make your next AI decision an informed one
Start with one trace.
See where it takes you.
Explore Lunary on your own, or walk through your use case with us.