Documentation Index
Fetch the complete documentation index at: https://knify.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
A canvas is a structured output object: text, charts, images, tables, logs, tasks, widgets, actions, data, and metadata.
It is the thing the agent produced.
Requirements
A useful canvas must be:
| Requirement | Meaning |
|---|
| Renderable | It can be shown as UI |
| Addressable | Parts can be referenced by stable IDs and paths |
| Updatable | Parts can be patched during or after an agent run |
| Consumable | Other systems can read stable exported values |
| Auditable | Source, actor, version, and provenance survive |
Static canvas
Static canvases are best for reports, audits, research summaries, client deliverables, and one-time agent results.
Agent produces full canvas JSON
-> Hub stores snapshot
-> Link opens viewer
Live canvas
Live canvases are best for long-running agent runs, monitoring dashboards, workflow status, research dossiers, debugging sessions, and mini-apps.
Agent creates initial canvas
-> Agent sends patch events
-> Hub stores event log
-> Viewer updates live
-> API consumers subscribe
Blocks are for humans
Blocks describe the human-facing surface: markdown, metrics, charts, tables, logs, and controls.
Exports are for machines
Exports expose stable paths that other systems can consume. API consumers should not scrape visual blocks.