/* Adjust space between sidebar sections */
.sidebar > .section {
    margin-bottom: 0px; /* Adjust spacing as needed */
}

/* Adjust space between pages within a section */
.sidebar .page {
    margin-bottom: 0px; /* Adjust spacing as needed */
}

/* Adjust padding inside each page link */
.sidebar .page a {
    padding: 0px 0px; /* Adjust top/bottom and left/right padding */
}

/* Section highlight animation when targeted through anchor links */
:target,
h2[id]:target,
h3[id]:target,
h4[id]:target,
div[id]:target {
    position: relative;
    background: linear-gradient(to right, rgba(74, 47, 249, 0.1), rgba(2, 255, 187, 0.1));
    animation: highlight-section 3s ease-in-out;
    scroll-margin-top: 80px;
    padding: 1rem;
    margin: -1rem;
    border-radius: 8px;
    border-left: 4px solid #4a2ff9;
}

@keyframes highlight-section {
    0% {
        background: linear-gradient(to right, rgba(74, 47, 249, 0.2), rgba(2, 255, 187, 0.2));
    }
    50% {
        background: linear-gradient(to right, rgba(74, 47, 249, 0.2), rgba(2, 255, 187, 0.2));
    }
    100% {
        background: linear-gradient(to right, rgba(74, 47, 249, 0.1), rgba(2, 255, 187, 0.1));
    }
}


#banner {
  background-color: #fef1d7;

  p {
    color: #383645;
  }

  a {
    color: #383645;
    border-bottom: 1px solid #383645;
  }

  button {
    color: #9b98ae;
  }
}


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})();

// Hubspot script
const script = document.createElement("script");
script.type = "text/javascript";
script.id = "hs-script-loader";
script.async = true;
script.defer = true;
script.src = "//js.hs-scripts.com/23114811.js";
document.head.appendChild(script);

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// Universal CodeGroup tab synchronization
(function() {
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  // Function to initialize the script
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    console.log("Universal CodeGroup tab sync initialized");
    
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    // Find if the click was on a CodeGroup tab
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    // Traverse up the DOM to find if we clicked on a tab
    while (target && target !== document) {
      if (target.getAttribute && target.getAttribute('role') === 'tab' && 
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        // We found a tab click
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})();




Emotion Categories

Calculation Method

Optimizing Your AI System

Analyze and optimize the emotional tone of AI responses using Galileo's Tone Metric to ensure appropriate emotional context and user engagement.

Tone

ℹ️ These docs are for the free version of Galileo. Documentation for current customers can be found [here](https://docs.galileo.ai/galileo).

Galileo

What is Galileo?

Getting Started with Galileo

How to Use Galileo

From Spot Testing to Systematic Evaluation

Overview

Datasets

Running Experiments with Code

Experiments

Prompts

Python SDK Reference

Typescript SDK Reference

Learn how to integrate and use OpenAI's API with Galileo's wrapper client.

Basic OpenAI Integration

Learn how to handle ignored instructions and ensure that your AI models follow your instructions.

Handling Ignored Instructions

Learn how to identify and address hallucinations and factual errors in your AI models

Fixing Hallucinations and Factual Errors

Learn how to reduce hesitation and uncertainty in your AI models.

Reducing Hesitation and Uncertainty

Learn how to implement a basic Retrieval-Augmented Generation (RAG) system using Galileo and OpenAI.

Basic RAG Example

Learn how to implement a basic agentic AI system using Galileo and OpenAI.

Basic Agentic AI Example

Explore Galileo's comprehensive metrics framework for evaluating and improving AI system performance across multiple dimensions.

Metrics Overview

Projects

Log Streams

Traces

Spans

Learn how to use datasets and experiments to improve your application.

Playground

Running Experiments in the Galileo Console

TypeScript SDK Overview

Learn how to prevent out of context information from being generated by your AI models.

Preventing Out of Context Information

Learn how to ensure that your AI models use all the retrieved data.

Ensuring Complete Use of Retrieved Data

Learn how to maximize the utilization of retrieved chunks by your AI models.

Maximizing Chunk Utilization

Fixing Irrelevant Retrievals

Learn how to optimize multi-step task execution and ensure that agents follow a logical sequence of actions.

Optimizing Multi-Step Task Execution

Learn how to fix issues when AI models ignore your instructions and how to design better prompts for reliable responses.

Ensuring Agents Follow Instructions

Learn how to improve agent decision making and ensure that agents make the right choices.

Overview

Getting Started

SDK/API

How-to Guides

Cookbooks

Concepts

Tone

Emotion Categories

Available Emotion Categories

Neutral

Joy

Love

Fear

Surprise

Sadness

Anger

Annoyance

Confusion

Calculation Method

Optimizing Your AI System

Managing Tone in Your System

Overview

Getting Started

SDK/API

How-to Guides

Cookbooks

Concepts

​Emotion Categories

Available Emotion Categories

Neutral

Joy

Love

Fear

Surprise

Sadness

Anger

Annoyance

Confusion

​Calculation Method

​Optimizing Your AI System

Managing Tone in Your System

Emotion Categories

Calculation Method

Optimizing Your AI System