#navbar > div {
  background: #0c3b43 !important;
  color: #fff;
}

#navbar > li > a,
#navbar a {
  color: #fff !important;
}

#navbar > div.z-10.mx-auto.relative > div.hidden.lg\:flex.px-12.h-12 > div > a > div.bg-primary {
  background: #a3ffdc !important;
}

#navbar
  > div.z-10.mx-auto.relative
  > div.relative
  > div.flex.items-center.h-14.py-4.px-5.lg\:hidden
  > div
  > div.font-semibold.text-gray-900.truncate.dark\:text-gray-200 {
  color: #fff !important;
}

#search-bar-entry-mobile > svg {
  background-color: #fff !important;
}

#navbar
  > div.z-10.mx-auto.relative
  > div.relative
  > div.flex.items-center.lg\:px-12.h-16.min-w-0.mx-4.lg\:mx-0
  > div
  > div.flex.lg\:hidden.items-center.gap-2
  > button.h-7.w-5.flex.items-center.justify-end
  > svg {
  background-color: #fff !important;
}

#navbar > div.z-10.mx-auto.relative > div.relative > div.flex.items-center.h-14.py-4.px-5.lg\:hidden > button > svg {
  color: #fff !important;
}

#navbar > li > a div {
  background: #fff !important;
}
.nav-tabs-item {
  color: #fff !important;
}

#topbar-cta-button {
  color: #fff !important;
  background: #0c3b43 !important;
  border: 1px solid #fff !important;
  padding: 1px 10px !important;
  border-radius: 5px !important;
}

#topbar-cta-button span {
  color: #0c3b43 !important;
  font-weight: 600 !important;
}

#topbar-cta-button {
  background: #a3ffdc !important;
  color: #0c3b43 !important;
  border: none !important;
  padding: 2px 16px !important;
  border-radius: 8px !important;
  font-size: 16px !important;
  transition: background-color 0.2s ease !important;
}

#topbar-cta-button:hover {
  background: #66e0b2 !important;
}

#topbar-cta-button svg {
  display: none !important;
}

/* Custom styles for the documentation */
@media (min-width: 1024px) {
  #content-area {
    margin-top: 1.5rem;
  }
}

div.mdx-content {
  margin-top: 4rem;
}

.font-bold {
  font-weight: 600;
}

table thead th {
  text-align: left;
}

p[data-component-part='step-title'] {
  margin-bottom: 0 !important;
}

[data-component-part='step-content'] p:first-child {
  margin-top: 8px !important;
}

:root {
  --font-family-headings-custom: 'Inter', sans-serif !important;
}

header#header .eyebrow {
  color: #3e4040;
  font-weight: 400;
  margin-bottom: 1rem;
}

#header .text-lg {
  font-size: 16px;
}

h5#sidebar-title {
  font-weight: 600;
  font-size: 14px;
  color: #505152;
}

#sidebar-group li > a.font-semibold {
  background-color: #F4F4F5;
  border-radius: 4px;
}

button[type='button'] div.text-gray-900 {
  color: inherit;
}

#table-of-contents-layout > #table-of-contents{
    padding-top: 4rem;
}


.mint-aspect-video {
    aspect-ratio: 16 / 9
}
.mint-h-full {
    height: 100%
}
.mint-w-full {
    width: 100%
}
.mint-rounded-md {
    border-radius: 0.375rem
}
.mint-border-2 {
    border-width: 2px
}

Export logs and evaluation data

Your CSV export contains:

Learn how to export your logs and evaluation results as a CSV file, enabling easy analysis and reporting of your AI application's performance data.

Export logs and evaluation results as CSV

Maxim Docs

Maxim streamlines AI application development and deployment by applying traditional software best practices to non-deterministic AI workflows.

Overview

Learn how to set up workspaces, invite team members, and manage role-based access control (RBAC) in Maxim. Streamline your AI project organization and control user permission within your enterprise.

Setting up your workspace

Learn how to get started with your first test run in Maxim

Running your first test

Learn how to evaluate AI application performance through prompt testing, workflow automation, and continuous log monitoring. Streamline your AI testing pipeline with comprehensive evaluation tools.

Concepts

Monitor AI applications in real-time with Maxim's enterprise-grade LLM observability platform.

Learn about the key concepts of Maxim's AI Observability.

Set up distributed tracing for your GenAI applications to monitor performance and debug issues across services.

Quickstart

Explore powerful analysis tools in Maxim for generating comparison reports, creating live dashboards, and gaining actionable insights from your AI application data.

Explore key concepts in AI evaluation, including evaluators, datasets, and custom tools for assessing model performance and output quality.

Dive into the Maxim SDK to supercharge your AI application development

Introduction

Upgrading to v3

Welcome to the Maxim API documentation. This guide provides comprehensive information about our available APIs, their endpoints, and how to use them.

Maxim offers self hosting and flexible enterprise deployment options with either full VPC isolation (Zero Touch) or hybrid setup with secure VPC peering (Data Plane), tailored to your security needs.

This guide outlines Maxim's zero-touch deployment process, covering infrastructure components, security protocols, and supported cloud providers.

Zero Touch Deployment

This guide details Maxim's data plane deployment process, outlining how to establish data processing infrastructure within your cloud environment. It emphasizes enhanced security, control, and data tenancy, ensuring compliance with data residency requirements while leveraging cloud-based services.

Introduction

Evaluate

Observe

Analyze

Library

Export logs and evaluation results as CSV

Export logs and evaluation data

Your CSV export contains:

Introduction

Evaluate

Observe

Analyze

Library

​Export logs and evaluation data

​Your CSV export contains:

Export logs and evaluation data

Your CSV export contains: