This guide will teach you how to build reusable workflows (tools) in Runchat. You will create a tool for describing the aesthetic of collections of images. This tool is used by several examples and is a useful technique for reproducing the style and content of reference imagery for design exploration.
Before starting this guide, complete the first tutorial on Creating a Workflow.

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Creating a descriptive prompt

Open the Runchat editor and click New Runchat to create a new workflow. Create a new Agent node from the menu and enter the following in the prompt: 
Write a prompt for an image generating model that will generate images in this style.
The prompt should consider qualities consistent across all images - we don't want to generate multiple prompts.
Pay attention to what makes these images unusual or unique. Make the prompt detailed.
This prompt can be improved - but it works reasonably well for most use cases. Let’s try it out with some images.

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Importing images

Let’s bring some images into Runchat to describe with our Agent node. There are several ways to import images into Runchat:
  • Using the Inputs -> File or Image nodes
  • Entering a URL to an image in a Inputs -> Text node
  • Dragging and dropping an image file from your laptop onto the Runchat canvas
  • Copying an image to the clipboard and pasting into the Runchat canvas
  • Taking a screenshot and pasting into the Runchat canvas
Head to your favourite source of inspiration (pinterest, instagram, google images, blogs etc) and import in 3 images with an aesthetic you’re interested in. This tool will work better if all images have a similar aesthetic, but this is not essential. Connect all of your images to the Context input of the Agent node.
Images are uploaded to your Gallery and are public by default. If you need to work with private images, subscribe to a Pro Plan.

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Merging Data

In the last tutorial we saw that connecting multiple inputs to a parameter will cause a node to run multiple times. This is useful for running parts of workflows in parallel, for instance to generate multiple variations on images or to process multiple documents at once. In this particular case, we don’t want to describe “each” individual image, we want to describe the aesthetic of all of the images “merged” together. Runchat provides a toggle for choosing whether to process each input, or a single merged input. Hover over the Context input and click Each to toggle the processing to Merge. Now our prompt will be provided with the list of all images we have connected, instead of one at a time. Press play in the editor or node toolbar to run our Agent node and see the resulting description.

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Publishing parameters

Every workflow in Runchat can be published as a tool to be re-used in other workflows or called automatically in the Agent node. To publish a tool, we need to specify which inputs we want to receive data, and which outputs we want to return data. When we publish an input or output, the UI for that input or output will be used to create a new node or app and all other inputs and outputs will be hidden. Before publishing a tool, you should delete any nodes that will not be directly necessary to generate the output. We will use a single Image input node as our tool input. This will mean that we can use the Image picker as our tool UI. Keep one of your imported images and delete all of the rest. Hover over the input parameter on the image and click the 🌞 Sun icon to publish it. For language models (and people) to know what our tool does, we need to give this input a name and a description. Hover over the input parameter and double-click the black input text to edit it. Change the name to images. Then click the edit button on the ‘images ✎’ label on the node and enter “Connect a collection of images to describe”. Then hover over the Result output parameter on our Agent node and click the 🌞 Sun icon to publish the prompt output.

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Sharing apps

Published tools can be shared as public web apps. This allows anyone to use your Runchat without needing to open the editor. To show a preview of your app in the sidebar, click Preview App at the bottom of the Runchat editor menu. If you want to try the app out - click import to select a new image and see if you can describe it. You can then copy a link to app view using the Share button next to the App header. You can close the App view again from the menu, or clicking the x in the corner of the app view sidebar.
To learn more check out the Apps page

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Creating tool libraries

To use our Runchat as a node or tool we need to describe what it does and add it to a Library. When we create a new Runchat we add a note node with some helpful tips. This should still be somewhere on your canvas - if you deleted it, just create a new one from the tool menu. Click the note to edit it, and enter “Writes a detailed description of the aesthetic of a collection of reference images for the purposes of prompting image generation models”. Click on the Runchat name in the editor toolbar and rename it to “Describe Images”. Then, click on the Runchat menu and go to “Open Workflow” (or enter https://runchat.app/dashboard in your browser). The dashboard displays a list of all workflows you have created. Find “Describe Images” and click on the 🧩 button to add it to a library. Enter “My Tools” as the new library name and click + to create the library and publish our tool. You should see a “v1” next to the runchat name when it’s finished.
You can add multiple tools to a library, and can save a new version of your tool without impacting other Runchats that use it.

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Using tools in Workflows

Runchat can be used to automate complex process-specific workflows by providing language models with access to custom tools you have created. Create a new Runchat by clicking the Runchat icon in the menu, clicking New Workflow then choosing New Runchat from the example grid. Create a new Create -> Image node with the Imagen 4 Fast model. Click on the variations button in the node settings and change this to 2. Now double-click to show the node menu, and click the toggle to Show Tools. Create a Describe Images node from your My Tools library and connect the output to the prompt input of your image node. Drop in some images and connect them to your images input to replace the default image that is referenced in the tool. Press the Run button at the top of the editor toolbar to run our entire workflow using our new tool, describe our images and create a prompt, and use this prompt to generate two new high quality images in a similar style.\
You can click on the expand icon in the node settings bar after running your Describe Images node to show all nodes in this tool and their inputs and outputs during the last run.
You can chain multiple prompts together to customize your image descriptions and add more design intent. For instance, you could take the output of your Describe Images tool, connect it to the Context of a Agent node, and then write a prompt that provides instructions for things to add. This is useful for controlling and directing the content.

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Tool calling

We can use any workflow we create as a tool in another workflow, or as a tool in an Agent node that can be run automatically by language models. As an example, create a new Agent node. Click on the Tool icon in the node toolbar and search for “Describe Images” and find the tool we just created. Click on it to add it as a tool. Now, if we connect some images to the context and just ask our prompt to “describe the images”, it will get used automatically! Tools are especially useful for making requests to external resources like databases or third party APIs. You can build tools in runchat for searching the web, reading and writing to spreadsheets, sending emails and just about anything else that you can think of.

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Next Steps

You’ve now covered the basics of Runchat, but there’s a lot more it can do. Take a look at some examples to learn about other use cases, or check out the concepts guides to get a better understanding of how runchat works under the hood.