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AI Agent

Relay’s AI agent is a conversational interface that lets you analyze data, run models, generate pipelines, organize files, and execute custom Python code — all through natural language.

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Opening the AI panel

Click the AI icon in the sidebar, or use the prompt bar at the bottom of the screen. The AI panel opens as a chat interface alongside your viewer.

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File references

Reference files in your prompts using the @ mention syntax:
  1. Type @ in the prompt bar
  2. A file picker popover appears showing your files and folders
  3. Select a file or type to filter
  4. The file appears as an inline badge in your prompt
You can reference multiple files in a single prompt. The AI agent will use the referenced files as context for your request.

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Smart suggestions

When you drag and drop a file onto a pane, Relay suggests relevant actions based on the file type:

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Chat features

  • Markdown rendering — responses are formatted with headings, lists, code blocks, and tables
  • Inline images — analysis results appear as images in the chat
  • Action buttons — suggested follow-up actions appear as clickable buttons
  • Analysis badges — results like cell counts display as inline badges
  • Chart visualizations — bar charts and histograms render directly in chat
  • Segmentation overlays — segmentation masks appear on the canvas

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LLM providers

Relay supports multiple LLM backends: The provider is selected automatically based on configured API keys, or can be set explicitly.