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User Guide💬 Chat

Chat

Through chat, you can converse with various LLM models and utilize tools to automate your work.

Feature Guide

Model Selection and Option Settings

You can change the LLM model used for conversation through the model selector at the top of the chat screen. Each model provides various options tailored to its purpose. You can select different models for each browser tab, allowing you to compare multiple models simultaneously or use them for different purposes. You can also start a conversation by calling a preset by pressing the @ button in the input field at the bottom of the screen.

Supported Models:

ProviderModelReasoning LevelWide Context
-• Auto Router--
Anthropic• Claude Haiku 4.5
• Claude Sonnet 4.5
• Claude Opus 4.5
• Claude Sonnet 4.6
• Claude Opus 4.6
• Claude Opus 4.7
• Claude Sonnet 5






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OpenAI• GPT 5
• GPT 5.1
• GPT 5.2
• GPT 5.3 Codex
• GPT-5.4
• GPT-5.4 Mini
• GPT-5.4 Nano
• GPT-5.5
• GPT-5.6 SOL
• GPT-5.6 Terra
• GPT-5.6 Luna










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Google• Gemini 2.5 Flash
• Gemini 3 Flash
• Gemini 3.1 Pro
• Gemini 3.1 Flash Lite
• Gemini 3.5 Flash
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Auto Router

When you select Auto Router, the model is selected automatically based on the request type and conversation context. Use it when you are not sure which model to choose, or when the required model level may vary from request to request.

Auto Router considers both the current request and previous conversation context. For example, short standalone requests can be handled by a lighter model, while follow-up conversations, code or data analysis, file-based requests, and interpretation of tool results can be routed to a higher-tier model.

The current model tiers are as follows.

TierModelTypical use cases
lightClaude Haiku 4.5Short, standalone requests
balancedClaude Sonnet 4.6Short follow-up conversations, general business writing, interpreting read-only tool results
heavyGPT-5.4Complex analysis, long-context work, requests with many tool calls

In the same conversation, the selected model may be reused for a period of time. If a new request includes signals that require a fresh decision, such as code, data, files, or an explicit request for a stronger model, the model is selected again.

Note: Auto Router appears in the model selector only when an administrator enables it in LLM Models.

Reasoning Models

  • You can obtain deeper answers by increasing the reasoning intensity when complex problem solving is required.
  • You can easily adjust the reasoning level through the slider.
  • When using Reasoning Level, an option to expand and view the AI’s thinking process is provided. Click the thinking process area in the response to see the logic the AI used to derive its answer.

Chat Reasoning

Context Expansion

When using Claude Sonnet 4.5, Claude Opus 4.7, GPT-5.4, GPT-5.5, GPT-5.6 SOL, GPT-5.6 Terra, GPT-5.6 Luna, Gemini 3.1 Pro, Gemini 3.1 Flash Lite, and Gemini 3.5 Flash models, you can enable the Wide Context feature.

  • The context window expands up to 1M tokens.
  • Useful when you need to analyze very long documents or large amounts of code.
  • Wide Context models consume more credits, so please use them appropriately.

Chat Wide Context

Additional Features

Click the + button on the left side of the chat input field to select file, Skill, generation hint, search, and voice response options.

Items available from the + menu:

  • Add photos and files: Upload files in various formats such as documents (PDF, Excel, PPTX, DOCX), images, and more to analyze contents or request summaries. You can upload directly from your local computer or import files saved in My Drive. Document files are processed using Skill-based processing for faster and more accurate analysis. Files are supported up to 200 MB per turn. There is no cumulative limit per session.
  • Select Skill: Select a Skill directly in the chat screen or type slash (/) to call the Skill you need.
  • Generate image: Generate AI images with text prompts or edit generated images.
  • Generate widget: Create widgets that visualize data analysis results as charts, graphs, and more.
  • Generate code artifact: Generate artifacts containing executable code and preview screens.
  • Create web app: Build and deploy web applications from a conversation.
  • Web Search: Activate real-time web search functionality to receive answers based on the latest information.
  • AI Voice Reply: Listen to the AI’s response in voice.

Use the Use MCP button around the input field to configure and use additional MCP tools needed for the current conversation without a Preset.

Under the MCP settings list, use Tool Access to choose how tools are loaded.

  • Load tools when needed: Finds and loads only the tools that match the question. This is useful when many tools are available because it reduces Context usage and helps select the required tool more accurately.
  • Tools already loaded: Loads all tools from the selected MCPs from the start of the conversation. This is suitable when there are only a few tools or when you always use the same tools.

Note: In Agent chat, only add-ons allowed in the agent settings are displayed. Code artifacts and Create web app may not be supported in the mobile app.

Tip: Click the microphone icon on the right of the chat input field to input questions by voice.

Chat Plus

Conversation Convenience Features

Tool Execution Description

When a preset uses a tool, easy-to-understand descriptions like “Checking weather…” are displayed. Tool call purpose descriptions are automatically displayed according to the user’s language settings (Korean, English, Japanese). Also, it clearly displays which Integration’s tool and which Skill was used, making it easy to verify the source.

Chat Friendly

Credit Usage

The footer of each AI response shows the credits used to generate that response.

OAuth Token Renewal

If an MCP tool’s authentication expires during conversation, you can immediately renew authentication by clicking the Re-authenticate button within the chat window without moving screens. After authentication is complete, you can continue the interrupted task immediately.

Chat OAuth

Install or Activate Required MCPs

In general chat, if an MCP tool required to handle the request is not installed yet or is disabled, a guide card is displayed in the chat window.

  • If installation is required: click Install and complete authentication or setup on the displayed installation screen.
  • If it is disabled: turn on the switch in the guide card to activate the Integration.
  • After installation or activation is complete, click Ask again or enter the same request again.

Some Integrations can be installed directly in the chat window. Integrations that require separate manual setup must be configured first in the Integration menu or administrator settings according to the guide.

In general chat, you can search conversations from the past. When you ask AI to find something discussed in a previous conversation, a decision that was made, or a remembered keyword or identifier, it searches existing conversation titles and some related messages and presents the results.

Examples:

  • “Find the conversation where we talked about the onboarding policy last time”
  • “Find what conclusion we reached earlier about QPD-1234”
  • “Continue searching from the previous period”

Search behavior

  • When you enter a search term, the search starts with the most recent 30 days.
  • If you include a date or date range, the search uses that range, but one search window can cover up to 30 days.
  • If the results are insufficient or older conversations are needed, you can continue searching earlier periods in 30-day increments.
  • The maximum searchable range is the most recent 93 days based on the retained search index.
  • Search results include the conversation title, some related content, and a link to open the conversation.

Note: The current conversation is excluded from search results. Search result content comes from messages you previously entered, so open the original conversation to verify important decisions or numbers.

Tool Chaining (File Handoff Between Tools)

Files can be automatically passed between MCP, Skill, Sandbox, and My Drive to perform complex tasks. The AI uses internal temporary file addresses to automatically handle file transfers between tools, so users can perform multi-tool workflows with just natural language commands without any separate file management.

Supported chaining scenarios:

  • MCP → Skill: Analyze/process files retrieved via MCP with a Skill
  • Skill → MCP: Send files generated by a Skill to external services via MCP
  • MCP → Sandbox: Execute/process MCP files in the Sandbox environment
  • My Drive → MCP: Use files saved in My Drive with MCP tools

Usage examples:

  • Retrieve a document from Google Drive, analyze it, create a PDF report, and send it via Gmail
  • Process data collected via MCP with a Skill and save it to My Drive
  • Process files from external services in the Sandbox and deliver the results back to the external service

Chat Sharing

You can share chat content with other users.

Click the Share button in the top right of the chat screen to open the sharing dialog.

Sharing scope settings:

  • Private: Only you can access. (Default)
  • Organization: Only members of the same organization can view.
  • Public: Anyone with the link can view.

After selecting the sharing scope, click the Create share link button to generate a sharing link. The generated link can be copied with the Copy link button, or shared as a QR code via the QR code icon. Even if you change the sharing scope, the existing link is maintained, so there’s no need to share it again separately.

Note: The sharing link only includes conversation content up to the point of sharing. If new messages are added after sharing, a refresh button will appear, which you can click to update the link with the latest conversation content.

Caution: Please be careful not to share conversations that contain personal information.

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