This glossary explains the fundamental concepts and terminology used throughout Latitude to help you better understand the platform.

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Prompt Engineering Basics

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Prompt

A text-based instruction sent to a language model to guide its response. In Latitude, prompts can include logic, such as variables, conditionals, loops, and other advanced features using PromptL syntax.

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PromptL

Latitude’s prompt templating language that enables dynamic prompt construction with variables, conditions, loops, and other programming concepts.

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Language Model (LLM)

The AI system that generates responses based on prompts. Examples include GPT-4, Claude, Gemini, among others.

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Provider

The company or service that offers access to language models, such as OpenAI, Anthropic, Google, or Azure.

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Latitude Platform Components

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Prompt Manager

The core interface for creating, editing, and managing prompts in Latitude. Includes the Prompt Editor, configuration settings, and version control.

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Playground

An interactive testing environment where you can run prompts with different inputs and configurations to see how they perform.

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AI Gateway

The deployment layer that exposes prompts as API endpoints, making them available for integration with applications. These are the addresses through which you will access your agent.

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Evaluations

Tools for assessing prompt performance using different methodologies:
  • LLM-as-Judge: Using AI to evaluate outputs
  • Programmatic Rules: Using code-based criteria
  • Manual Evaluations: Human review of outputs

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Logs

Records of all interactions between prompts and language models, including inputs, outputs, metadata, and performance metrics.

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Datasets

Collections of input/output pairs used for testing, evaluations, and regression testing.

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Advanced Features

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Tools

Functions that prompts can call to access external capabilities, such as retrieving information, performing calculations, or taking actions.

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Agents

Advanced prompts that can make decisions, use tools, and solve complex problems through multiple interaction steps.

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JSON Mode

A configuration setting that enforces structured output formats through JSON schemas.

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Cache

A mechanism that stores previously generated responses to improve performance and reduce costs.

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Collaboration & Deployment

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Version Control

Features for tracking changes to prompts, comparing versions, and managing the prompt lifecycle from draft to production.

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Environments

Different contexts (e.g., development, staging, production) for deploying and testing prompts.

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Telemetry

Automatic capture of metrics and performance data from prompt interactions.

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Webhooks

Integration points that trigger actions in external systems when certain events occur in Latitude.

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Development Concepts

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SDK

Software Development Kits (available for TypeScript, Python, and other languages) are toolkits that allow for interaction with Latitude through your own computer programs.

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API

The Latitude HTTP API (Application Programming Interface) that provides access to platform features for custom integrations.

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Self-Hosting

Running Latitude on your own servers instead of using the managed cloud version.

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Building Blocks

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Prompt Template

The base structure of a prompt that includes placeholders for variables.

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Parameter

A value you provide in the prompt template that tells it what data to use or how to behave.

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Snippet

Reusable prompt fragment that can be shared across multiple prompts.

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System Message

Special instructions to the model that set context and behavior expectations.

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User Message

Content presented as coming from a user in a conversation with the model.

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Assistant Message

Content presented as previously generated by the model in a conversation.

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Next Steps

Now that you’re familiar with the core concepts, you can: