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Canvas cards

Chat flows, harnesses, ETL pipelines and workflows are built on a canvas of cards. Each card is a node, and lines between plug points connect them.

By default cards are compact: a card shows its connections and a few short values, and a click on it opens all of its settings in a side panel on the right. If you prefer every setting on the card itself, turn on Classic cards. Nothing about a flow changes when you switch: the same settings, the same connections, the same saved file.

Install first: Docker, From source, or Render. The canvases are described in Harnesses, ETL and Version history.

Every canvas has Build with AI, the sparkle button next to +: describe what you want and it puts a first version on the canvas. See Build a chatflow with AI, Build a team with AI and Build a pipeline with AI. Workflows have the same button, with the prompt Describe your workflow; see the end of Build a chatflow with AI.

The steps below use a small demo chat flow, Bakery recipes: a Prompt Template, a local Ollama model, and an LLM Chain.

The Bakery recipes chat flow in the new look. Three compact cards: Recipe prompt shows Format Prompt Values and a short Template value; Local model shows Cache, Base URL and Temperature; Recipe chain shows its four connection rows, Click to edit its settings, and an LLM Chain output. Lines connect the prompt and the model to the chain.

A compact card shows:

  • Its connection rows on the left and its outputs on the right, the same plug points a classic card has.
  • A plug point for each setting that can also take a connection.
  • Up to three short values from its settings, so you can tell cards apart without opening them. Passwords and credentials are never shown. A card with nothing short to show says Click to edit its settings.
  1. Select a card. Its settings open in the side panel on the right.
  2. Change what you need. Edits save to the canvas the same way they do on a card, and the canvas shows as unsaved until you save.
  3. Close the panel with the X, with Escape, or by selecting an empty part of the canvas.

The same chat flow with the Recipe prompt card selected and outlined. The canvas is narrower, and the side panel on the right is titled Recipe prompt, with a Settings section holding Langchain Hub, the Template field reading Suggest a bread recipe for {season}., and Format Prompt Values.

  • Settings lists the fields a classic card shows. More settings lists the ones behind Additional Parameters.
  • A new card you add from + opens in the panel right away.
  • The panel narrows the canvas instead of covering it. If the card you select would end up behind the panel, the canvas moves just enough to show it.
  • Delete and Backspace typed in the panel only edit text. They never delete the card.
  • Sticky notes are edited on the card, as before.

When a chat model card has a model list, such as OpenAI, Anthropic or xAI Grok, Model shows that provider’s current models, newest first. Hosted services that serve many models, such as OpenRouter, Together AI or Fireworks, list a short set of popular ones. On every card with a list you can also type the name of any other model your account offers and then select another field: the typed name is kept, and a flow saved with a model that has left the list keeps it. Cards for servers you run yourself, such as Ollama or LocalAI, keep a plain text field because only your server knows its models.

A chat flow with the xAI Grok card selected. In the side panel under Settings, Connect Credential is empty and the Model list is open: grok-4.7 with the line Most capable Grok model, for chat, code and agent work, then grok-4.6, grok-4.5, grok-4.3 with Lower cost, 1M token context, and the grok-4.20 models.

Two places turn Classic cards on or off. They change the same setting.

  • The last button in the toolbar at the bottom of the canvas. Its tooltip reads New card look (compact cards, settings in a side panel): on or off, and its sidebar icon is filled while compact cards are on.

  • The settings menu at the top right of the app has a Classic cards switch.

    The settings menu open at the top right of the Chatflows page. Under the account name are Classic cards with its switch on, Version, and Logout.

The choice is kept in this browser and applies to every canvas, including tabs that are already open. Another browser, or another person, keeps their own choice.

With Classic cards on, every setting is on the card again and a click on a card does not open the panel.

The Bakery recipes chat flow with classic cards. Recipe prompt shows Langchain Hub, the Template text and Format Prompt Values on the card; Local model shows Cache, Connect Credential, Base URL, Model Name, Temperature, Allow Image Uploads, Think and Additional Parameters; Recipe chain shows its connection rows and Chain Name.

Workflow cards look the same in both settings. Only where their settings open changes:

  • Compact cards on: select a workflow card and its settings open in the side panel instead of a dialog. Escape, the X or a click on an empty part of the canvas closes it.
  • Classic cards on: double-click a card to open the settings dialog, as before.

The Bakery greeting workflow with Start and Reply cards. The Reply card is selected, and its Message field, reading Welcome to the bakery! Ask me about today’s bread., is in a side panel docked on the right of the canvas instead of a dialog.

Add New on Agentflows opens the agentflow canvas. Older V1 agentflows are hidden from the app: Add New, Duplicate and templates no longer make new ones. Existing ones still run through the API, embeds and shared links, still open from a direct link, and appear under Legacy agentflows when a workspace has any.

Describe your assistant in plain words and Build with AI puts a chatflow on the canvas: a chat model, the agent or chain that answers, memory, and the tools or your own text it needs. Every part and every connection is checked before it lands, and the flow ends on one card the chat can talk to. You need a chat model credential first, for example an OpenAI key saved on the Credentials page.

  1. On Chatflows, select Add New. The blank canvas opens.
  2. Select Build with AI, the sparkle button next to +.
  3. Under Describe your assistant, write what it should do, or select one of the examples above the box. Name a service, such as Tavily for web search, and the builder adds that tool. To answer only from facts you give it, write the facts in the description.
  4. Under Chat model that builds, Cuttlely starts on a model you have a key for (OpenAI starts on gpt-4.1-mini), with your key picked when only one fits. The list shows the models you have keys for; Show all models lists the rest, and More settings holds the advanced ones. Your choice is remembered for next time. There is no default key.
  5. Select Build.

The Build with AI dialog on a new chatflow canvas. The line under the title reads It builds a first version you can change. Nothing is saved until you save, and every part is checked before it lands. Under Describe your assistant are three example chips and a box with a math helper description. Below, Chat model that builds is set to OpenAI with the OpenAI demo credential and the gpt-4.1-mini model. Cancel and Build are at the bottom right.

The chatflow lands on the canvas unsaved. The message at the bottom names it, for example "Math Helper with Calculator" is on the canvas. Save to keep it as a draft. Nothing is saved yet, so you can look it over, change cards, or close the tab.

The built chatflow Math Helper with Calculator in compact cards, not saved yet: the title has an unsaved mark. The OpenAI card (gpt-4.1-mini) plugs into Tool Calling Chat Model on the Tool Agent card, and Calculator and Buffer Memory cards plug into its Tools and Memory. A green message at the bottom reads Math Helper with Calculator is on the canvas. Save to keep it as a draft.

  1. Select Save. The name box starts with the built name; change it if you like. The first save keeps the flow as a Draft: Live stays empty, so the API, embeds and shared links serve nothing until you publish. See Drafts and Publish.
  2. Open the chat. Three starter questions are waiting, written as things people would ask this assistant. Select one. The test chat runs your draft.

The same chatflow after the first save. The header reads Draft, not live yet, Saved just now. The test chat is open on the right: Can you calculate 15% tip on a $45 bill? is answered with a calculator chip and A 15% tip on a $45 bill is $6.75.

  1. Select Publish. Check recent questions lists what you asked in the test chat, then the starter questions, marked (starter question), so a brand-new flow has something to check. Live is empty, so each question runs once, on your draft. Select Run check to see the answers, then Publish to put the flow Live. See Check recent questions before you publish.

The Publish dialog for Math Helper with Calculator. Check recent questions reads Ask questions on your draft before you publish. Live is empty until the first publish. Three ticked questions are listed, two marked starter question. The note reads Live is empty, so each question runs once, on your draft, and the check costs tokens. That is 3 runs. A check stops at 100,000 tokens or 3 minutes, whichever comes first. Below the Run Check Again button the result reads 3 of 3 answered on your draft, with Tokens: draft 760 and a typical time of 1.7 s.

When a tool needs a credential you have not added, the message at the bottom names it, for example Tavily API needs Tavily API. Add that credential on the Credentials page, pick it on the card, and save. The message stays until you close it.

A chatflow only calls a harness when you already have one saved; the builder then may use the Harness tool with one of your saved harness names. To build a team of specialists instead, see Build a team with AI.

When the canvas already has cards, Build with AI asks first. Start a new one opens the chatflow on a new canvas in a new tab and leaves this one as it is. Replace this canvas swaps the cards here, and Undo in the message puts the old cards back.

Build with AI works the same with classic cards. The chatflow lands with every setting on its cards.

On a workflow (agentflow) canvas, Build with AI works the same way under Describe your workflow: the workflow lands unsaved, and the same choice appears when the canvas already has cards. Harnesses and pipelines are different: a built team or pipeline is always saved right away as a new one. See Build a team with AI and Build a pipeline with AI.

  • The template preview under Templates uses the same setting. In the new look a click on a card shows its settings in a read-only side panel.
  • Version history keeps classic cards when it shows a saved version, because it compares settings side by side.

People who have never chosen get compact cards. To give them classic cards instead, set this on the server and restart:

Terminal window
CANVAS_CARD_LOOK=classic

new (the default) gives compact cards. Anyone can still change their own browser with either switch above. The variable is listed with the other settings in CONTRIBUTING.md and in .env.example.