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Laminar

How developers build reliable AI agents. The single open-source platform to trace, evaluate, and analyze AI agents.

Overview

Laminar is an open-source developer platform that provides full instrumentation of LLM applications and combines trace data with event-based analytics. It is designed to help developers understand how their LLM apps perform in production by offering tools for entire app instrumentation, full trace visualization, trace search, and session grouping. The platform aims to empower AI developers to ship reliable LLM applications more quickly by combining orchestration, evaluations, data, and observability.

Core Functionality

  • Observability and Tracing: Automatically traces popular AI libraries and SDKs like OpenAI, Anthropic, and LangChain, providing a clear picture of every execution step.
  • Evaluations: A state-of-the-art evaluation platform to build fast and custom evaluators without managing the underlying infrastructure.
  • SQL Access to Data: Analyze traces, metrics, and events with a built-in SQL editor and create datasets from queries.
  • Custom Dashboards: Turn SQL queries into custom dashboards to track metrics specific to an agent's performance.
  • Open-Source: Fully open-source, allowing for self-hosting, transparency, and community-driven development.

Media & Showcase

Success Stories

The website features a testimonial from the CTO of Remo, stating, \”Laminar’s evals help us maintain high accuracy while moving fast. We now use them for every LLM based feature we build.

Company Profile

Solution Type: Open-Source Project

Company Name: Laminar

Company Stage: Startup

Year Founded: 2024

Team Size: 2-10

Technology Core

  • MLOps (Machine Learning Operations)

Industry Focus

  • Cross-Industry / General Business

Pricing Model

  • Freemium

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