openpencil/packages/docs/programmable/ai-chat.md
Danila Poyarkov 3f594fdc3a
feat: add visual diff and patch apply tools and openpencil diff (#810)
* feat(core): add visual diff and patch apply tools

diff_visual renders two nodes at one scale through the existing raster export, compares them with pixelmatch, and returns the diff PNG with the changed ratio and region in source-node coordinates. It takes export_image's scale and maxEdge inputs. FigmaAPI gains a CanvasKit-backed raster codec and a pageId export option, so the app and headless CLI decode pixels and render nodes off the current page.

diff_apply applies diff_create and diff_show patches through the Figma API, validates every node before changing any, and supports dryRun and force. diff_show now simulates changes on a detached copy with the same property code. One serializer and parser back all three. diffDocuments compares two documents page by page by name path.

Image tool results now reach models as media with their metadata as text, for any tool rather than export_image alone. diff_create, diff_jsx, and diff_visual join the default AI tool set, and the diff tools are no longer hidden from WebMCP.

* feat(cli): add diff commands and agent diff guidance

openpencil diff create, jsx, show, apply, and visual run the Core diff tools on a file or the running app; apply writes back with --write or --output like eval. diff files compares two documents page by page and exits 1 when they differ.

The chat prompt asks the agent to edit in place and to verify risky edits against a reference copy with diff_jsx, diff_create, and diff_visual. The skill, CLI reference, MCP tool table, and a new Comparing Designs page document the commands and tools.

* feat(core): diff and patch node trees as JSX attributes

diff_create, diff_show, diff_apply, and diffDocuments used a hand-rolled
`key: value` property format that covered about fifteen properties,
matched children by name path, and could not see moves.

Nodes are now projected to the attributes the JSX export prints, and
jsondiffpatch matches children (by ID or by name path) and detects
moves. Patches list `-`/`+` attribute lines per node plus moved, added,
and removed children. diff_apply checks every hunk first, applies
attribute changes through the renderer's prop handling, and changes only
the fields an attribute moves, so IDs, instance links, and other state
survive. diff_show takes JSX attributes instead of a JSON props object.

design-jsx gains sceneNodeAttributes, parseJSXAttributes, and
jsxNodeFields for this, and the export round-trip property table is
shared so every case is also diffed and applied. `diff files` loads its
documents in order so node IDs, and so its patches, are deterministic.

* fix(core): keep diff_apply atomic and diff files honest about differences

- Added nodes render before anything else changes; if one fails, for
  example on a missing component, the rendered ones are deleted and
  nothing else is committed.
- A hunk with an attribute the renderer ignores fails instead of
  reporting "unchanged".
- diffDocuments reports `changed` from page statuses, and a page only
  one document has gets its status but no patch, since patches do not
  add or remove pages. diff files uses it, so an added empty page no
  longer reads as a match.
- diff files rejects a --page neither document has and a --depth that
  is not a non-negative integer, exiting 2; diff_create's depth is
  validated the same way.
2026-10-03 21:00:13 +04:00

9.4 KiB

title description
AI Chat Built-in AI assistant with 90+ tools for creating and modifying designs.

AI Chat

Press ⌘J (Ctrl + J) to open the AI assistant. Describe what you want — it creates shapes, sets styles, manages layout, works with components, and analyzes your design.

Setup

  1. Open the AI chat panel (⌘J)
  2. Click the settings icon
  3. Add a model and configure its provider, model ID, credentials, and capabilities
  4. Save the model and assign it to Design agent

You can configure multiple reusable models and separately assign models for design work, reviews, fast tasks, and image input. Models using the same provider connection reuse its stored credential.

The chat composer grows with multiline prompts and can pin the current canvas selection as explicit node context. Assistant messages show provider reasoning in collapsible sections and provide a per-response copy action. Image attachments remain available for visual references when a Vision model is configured. Streaming responses use a hardened Markdown renderer with Shiki-highlighted code blocks; unsafe link protocols and embedded data images are blocked.

Step limit

In Settings → AI & agents → Chat, set Maximum steps per message to a whole number from 1 to 1,000. The default is 50. Press Enter or leave the field to save a valid value; invalid drafts do not replace the saved preference. Higher limits allow longer tool-driven tasks but can increase latency and provider cost.

The built-in AI captures this limit when each message starts. Stopping, remaining-step warnings, and the Continue action use that same budget. Changing it does not interrupt an ongoing request; the next message or continuation uses the new limit. A step is one model iteration and can include multiple tool calls. ACP and Pi agents manage their own limits.

Tool access

Open Settings → Tool access to choose which tools direct AI model connections can use. Search by name or description, expand read-only or side-effect groups, and toggle individual tools or an entire group. Group switches affect all tools in that group, not only search results. Restore defaults restores the compact default tool set; extended tools such as create_component can be enabled individually.

Preferences are saved locally and apply to the next message, including in an existing conversation. They do not change an already-running request. Enabling many tools increases the schemas sent to the model.

The Local MCP segment has independent settings for clients connected to OpenPencil's MCP server, including ACP and Pi agents. Restart the server and reconnect stdio clients after changing those settings. Remote MCP connections, WebMCP access, and Pi's shell/filesystem permissions remain separate.

Tool toggles control which tools are offered, not which operations scripts may perform. An enabled eval or other script-capable tool can perform design operations whose dedicated tools are disabled; these switches are not a sandbox.

Saved Conversations

Use Conversation history to return to a saved chat, start a New chat, or rename or delete a conversation. History and attachment previews are stored locally; All chats lets you browse transcripts from other documents.

A conversation belonging to another document is read-only until you open that document. A saved agent transcript is not a guarantee that its external agent session can resume: when resumption is unavailable, start a new chat. Local history is not cloud synchronization or a backup.

In the Chat settings beside the model overview, choose whether reasoning is Collapsed by default, Expand while thinking, or Expanded by default. Disclosure animations follow the app's reduced-motion preference. Expanding older reasoning does not force the conversation to scroll to the bottom.

Supported Providers

Provider Models Setup
OpenRouter Claude, GPT, Gemini, DeepSeek, Qwen, and others API key from openrouter.ai
Anthropic Claude Sonnet 4.6, Claude Opus 4.6 API key from console.anthropic.com
OpenAI GPT-5.3 Codex, GPT-4.1, o3, o4-mini API key from platform.openai.com
Google AI Gemini 3.1 Pro, Gemini 3 Flash API key from aistudio.google.dev
Z.ai GLM-5.1, GLM-5, GLM-4.7, GLM-4.5 family API key from docs.z.ai
MiniMax MiniMax M3, M2.7, M2.7-highspeed, M2.5, M2.1 API key from platform.minimax.io
OpenAI-compatible Any endpoint with OpenAI API format Custom base URL + key. Supports Completions and Responses API toggle.
Anthropic-compatible Any endpoint with Anthropic API format Custom base URL + key

No backend, no subscription — your key talks directly to the provider. Browser requests are subject to each provider's CORS policy, and model deployments vary in how reliably they stream tool calls. See BYOK provider and model compatibility for measured results and reproduction steps.

External MCP connections

Desktop ACP agents can also use trusted remote Model Context Protocol servers. In Settings → MCP, under MCP connections, add a named Streamable HTTP endpoint, optionally save a bearer token, and enable the connection. OpenPencil stores the token in the configured credential backend rather than ordinary settings and resolves it only when starting the ACP session.

Remote servers must use HTTPS. Loopback HTTP endpoints are accepted for local development. Review and trust a server before enabling it: its tools may read external data or perform actions with the credentials you provide. OpenPencil's built-in design MCP server remains attached automatically and does not need to be added here.

What It Can Do

The configurable tool catalog covers these categories; the tools offered to a model depend on your Tool access settings:

  • Create — frames, shapes, text, components, pages. Renders JSX for complex layouts.
  • Style — fills, strokes, effects, opacity, corner radius, blend modes.
  • Layout — auto-layout, grid, alignment, spacing, sizing.
  • Components — create components, instances, component sets. Manage overrides.
  • Variables — create/edit variables, collections, modes. Bind to fills.
  • Query — find nodes, XPath selectors, read properties, list pages, fonts, selection.
  • Inspect — get_jsx for JSX roundtrip view, diff_create and diff_jsx for structural diffs, diff_visual for pixel diffs, describe for semantic role and design issue detection.
  • Analyze — color palette, typography audit, spacing consistency, cluster detection.
  • Export — PNG, SVG, JSX with Tailwind classes. Vision-based verification via export_image.
  • Vector — boolean operations, path manipulation.

Visual Verification

The assistant can verify its work visually. When export_image is enabled, it can capture a screenshot after creating or modifying designs and checks the result against the original request. This catches layout issues, missing elements, and color mismatches that text-only responses would miss. diff_visual, enabled by default, compares an edited node with a reference copy and returns the changed pixels and region, so the assistant can confirm an edit stayed within its target.

Example Prompts

  • "Create a card with a title, description, and a blue button"
  • "Make all buttons on this page use the same border radius"
  • "What fonts are used in this file?"
  • "Change the background of the selected frame to a gradient from blue to purple"
  • "Export the selected frame as SVG"
  • "Find all text nodes with font size less than 12"
  • "Describe the selected component — what role does it look like?"
  • "Show me the JSX for this frame"

Tips

  • Select nodes before asking — the assistant knows what's selected.
  • Be specific about colors, sizes, and positions for precise results.
  • The assistant can modify multiple nodes in one message.
  • You can browse other pages while a reply runs: the assistant keeps working on the page where the message started, and its previews show when you return. If the assistant switches pages itself, your view follows.
  • Use "undo" in the editor if you don't like the result — AI mutations support full undo.
  • All layout is recomputed automatically after each tool execution.