I’m trying to find other tools that can replace langfuse for monitoring and testing AI systems. I need something that works well for checking how my agents perform and tracking their behavior.
Right now I’m looking at a few options but I’m not sure which one would be best for my setup. I want something that can handle both automatic testing and manual review when needed. It would be great if it also has good debugging features and can track different versions of my prompts.
I’ve heard about tools like LangSmith, Braintrust, and some others but I don’t have much experience with them. Some people mentioned Maxim AI and Comet too. There’s also Lunary which seems to be free to use.
What have you guys tried? I’m especially interested in something that’s not too complicated to set up and works well with existing workflows. Any suggestions or experiences you can share would be really helpful.
I ran Lunary in production for four months before switching. Free sounds great, but you get what you pay for. The docs have gaps that’ll bite you on edge cases, and community support is weak compared to paid options. Here’s what I learned: integration complexity beats quick setup every time. LangSmith takes longer to configure but it’s way easier to maintain. Had way fewer breaking changes during updates than smaller tools. For prompt versioning, skip the fancy built-in systems. Git-based tracking works better most of the time. These monitoring tools overcomplicate versioning - just track versions in your repo and reference them in your monitoring metadata. Tight budget? Start with basic logging and metrics first. Figure out what you actually need to monitor before picking a platform. Too many teams blow money on monitoring without knowing their requirements.
Been running AI monitoring for years and honestly? All these tools have the same problem - they’re built for one specific use case.
What works better is setting up your own monitoring dashboard that connects to whatever AI service you’re using. You get exactly what you need without paying for features you don’t use.
I built a system that pulls data from OpenAI, Claude, and local models into one view. Tracks performance, costs, prompt versions, and runs automated tests on different agent behaviors. Updates in real time and sends alerts when something breaks.
Took me about 2 hours to set up using automation workflows. Now I monitor 15 different AI agents across multiple projects from one dashboard. Way more flexible than any single tool.
Best part? When requirements change, I just modify the workflow instead of switching platforms again. No vendor lock-in and costs way less than those enterprise monitoring tools.
Latenode makes this kind of custom integration super straightforward. Check it out: https://latenode.com
I’ve used all these tools across different projects. Here’s my honest take.
Maxim AI stood out when we needed complex multi-agent workflows. They track behavioral patterns instead of just basic metrics, which is rare. Setup’s easy and their debugging actually shows you why agents make specific decisions.
Comet’s MLOps background makes them great for experiment tracking. If you’re iterating on prompts and running A/B tests constantly, their versioning is bulletproof. Saved me hours on a recommendation system project with their side-by-side comparisons.
Here’s the thing everyone misses - the tool doesn’t matter if you don’t know what to measure. I’ve watched teams obsess over vanity metrics while their models fall apart.
Watch this first before picking anything:
It covers monitoring fundamentals without vendor BS. Once you know what actually matters for your use case, choosing becomes obvious.
Bottom line: Braintrust and LangSmith work for most people. Go with Maxim AI if you need behavioral analysis. Avoid free tools unless you enjoy limited support.
langsmith’s been a solid choice for me, especially with langchain integration. it all fits together nicely, and the debugging is pretty effective. much simpler to set up than other tools i tried. pricing’s good for small projects, but i haven’t looked into scaling yet.
Switched from Langfuse to Braintrust six months ago - best decision I made. Their evaluation framework is a game changer for setting up automated agent tests. The scoring’s intuitive and you can build custom evaluators without drowning in code. What hooked me was how fast I got it running. Had everything integrated with my existing pipeline in under an hour. Other tools I tried wanted me to rewrite half my codebase. Prompt versioning works great too, though the diff visualization between versions could be better. Watch the pricing if you’re scaling up. Starts free but gets pricey fast with heavy usage. I tested Lunary briefly since it’s open source, but their docs are pretty weak compared to the paid options. Plus the debugging features weren’t robust enough for production monitoring.
