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"Combining orchestration, evals, data, and observability into a single platform."
tl;dr: Laminar is a developer platform that combines orchestration, evaluations, data, and observability to empower AI developers to ship reliable LLM applications 10x faster. Get started for free → lmnr.ai
Founded by Robert Kim, Din Mailibay & Temirlan Myrzakhmetov, they previously built infrastructure at Palantir, Amazon, and Bloomberg— now their goal is to help AI developers ship reliable LLM applications faster.
❌ The Problem
LLMs are stochastic, and designing robust software around them (e.g. LLM agents) demands rapid iteration on core logic and prompts, constant monitoring and a structured way of testing new changes. Existing solutions are vertical and the burden of maintaining “glue” between them is still on the developers, which inevitably slows them down.
✅ Solution
Laminar is a dev platform that combines orchestration, evaluations, data, and observability to help AI devs to ship reliable LLM applications 10x faster. They provide:
- a GUI to build LLM applications as dynamic graphs with seamless local code interfacing.
- an open-source package to generate abstraction-free code from these graphs directly into developers' codebases.
- a state-of-the art evaluation platform that lets devs build fast and custom evaluators without managing evaluation infrastructure themselves.
- a data infrastructure with built-in support for vector search over datasets and files. Data can be easily ingested into LLMs and LLMs can write to the datasets, creating a self-improving data flywheel.
- a low latency logging and observability infrastructure.
Orchestration
As devs, they love to code everything themselves, but they’ve realized the fastest way of iterating on LLM application logic is via graph UI. So, they’ve built the ultimate LLM “IDE”, where you build your LLM applications as dynamic graphs. You can build cyclical flows, route to different tools, and collaborate with your teammates in real-time!
Graphs can seamlessly interface with local code. “Function node” can call local functions on your server, right from their UI or their SDK. It’s a huge game changer for testing of LLM agents which call different tools and then circle the response back to LLMs. In the gif below, local function “save_result_to_db“, which runs on a server on his computer, is directly called from their UI.
Using their open-source package, you can generate zero-abstraction code from graph definition, which exactly replicates the graph functionality. Code is generated as pure functions right inside your repo, and you have total freedom to modify it however you want. It is extremely valuable for the devs who are tired of frameworks with myriads of layers of abstraction.
You can also deploy LLM pipelines as API endpoints on their infrastructure and easily call them via their Python/TS sdks.
Evaluations
Laminar pipeline builder can be used to build custom and flexible evaluation pipelines that seamlessly interface with local code. You can start from something simple like exact matching and then build a custom LLM-as-a-judge pipeline tailored to your specific use case. You can upload large datasets and run evaluations on thousands of data points at the same time, and get all statistics about the run in real time. All of this without the pain of managing evaluation infrastructure yourself.
Observability
Whether you decide to host LLM pipelines on their platform or generate code from graphs, all pipeline runs are logged and you can easily inspect the traces in the convenient UI.
Conclusion
Laminar aims to deliver the best developer experience for AI developers. They remove unnecessary friction and burden of managing infrastructure. They let you focus on building the best AI products and ship them 10x faster!
Learn More
🌐 Check them out at www.lmnr.ai
🙏 Start building reliable LLM agents right now for free → www.lmnr.ai
💻 Check out their open-source code gen package
🔗 Connect them with anyone who builds software around LLMs and would greatly benefit from a tool like this!
🤖 Join their Discord
🎉 Follow Laminar on LinkedIn
