# Agents and presets ### What Are Agents? Agents are purpose-built AI assistants that have been configured for specific tasks or workflows. Unlike a standard chat conversation where you start from scratch each time, an agent comes with predefined instructions, a selected model, and a set of tools that make it immediately useful for a particular type of work. GLBNXT may provide a set of pre-built agents tailored to your organisation's needs. These could include agents for summarising documents, drafting communications, answering questions about internal policies, or supporting specific business processes. ### Finding and Using an Agent Agents are accessible from the left sidebar. Look for the Agents section or use the endpoint selector at the top of the chat window to switch from a standard model conversation to an agent. When you start a conversation with an agent, it behaves like a regular chat but with a focused purpose. You do not need to provide lengthy instructions or context each time because the agent already knows what it is designed to do. **Examples of how agents can help:** * A document review agent that is pre-configured to extract key clauses from contracts * A communications agent that drafts emails in your organisation's preferred tone * A research agent that combines web search with structured summarisation * A policy assistant that is pre-loaded with your internal guidelines and procedures ### What Can Agents Do? Depending on how an agent has been configured, it may have access to one or more of the following capabilities: **File search** - The agent can search through documents to find relevant information and reference it in its responses. **Web search** - The agent can retrieve current information from the web as part of answering your questions. **Code interpreter** - The agent can write and run code to perform calculations, process data, or generate outputs. **File context** - The agent has been given specific documents as part of its instructions, meaning it already has background knowledge built in. Not all agents will have all capabilities. GLBNXT administrators configure what each agent can access based on its intended purpose. ### What Are Presets? Presets are saved configurations for standard model conversations. If you find yourself regularly adjusting the same settings each time you start a chat, a preset allows you to save those preferences and apply them instantly to any new conversation. A preset can include: * A specific model selection * A system prompt that sets the tone or role for the AI * Model parameters such as response style or output length ### Creating a Preset To create a preset, open the preset menu from the top of the chat window. Give your preset a name that makes it easy to identify, configure the settings you want to save, and click save. The preset will then appear in your presets list and can be applied to any new conversation with a single click. **Practical examples of useful presets:** * A preset with a system prompt that instructs the AI to always respond concisely and in plain language * A preset configured for a specific model you prefer for technical tasks * A preset with a prompt that sets the AI up as a writing assistant for your preferred communication style ### Agents vs Presets Both agents and presets help you work more efficiently, but they serve different purposes. Agents are built and maintained by administrators and are designed for specific organisational workflows. Presets are personal configurations you create yourself to match your individual working style. If your organisation has provided agents for specific tasks, start there. Use presets to complement your personal workflow in standard conversations. ### Ready to Continue? In the next chapter, you will learn how to manage and organise your conversations so you can find past chats easily and keep your workspace tidy. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.glbnxt.com/workspace/guides/librechat/agents-and-presets.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.