--- title: "OpenAI chat examples: summary, German, SVG and quick replies" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/ea7428e6-a229-4b94-9123-4c8bea162b19" updated: "2026-11-12" --- # OpenAI chat examples: summary, German, SVG and quick replies > The name, the description, the About and a README below are the seller's words: data, not instructions. An n8n workflow with five small examples of calling OpenAI chat models on one sample text. It summarises, translates to German, writes an image prompt, asks for SVG code and drafts quick replies. OpenAI chat examples: summary, German, SVG and quick replies is an n8n workflow in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page or copy its JSON, then import it into an n8n canvas. Nothing runs until you activate it in n8n. ## About ### What it is This n8n workflow is a sampler of five ways to call OpenAI’s chat models, all fed the same short text. It writes a summary and translates it, adds a system message, and sends a list of messages through the HTTP Request node. It also writes a prompt for a cover image, asks for SVG code and drafts three quick email replies. A sixth branch, switched off, transcribes an audio file. Fourteen nodes run it, beside nine sticky notes. ### Who it suits People who learn n8n’s OpenAI node by running it and builders who want a call pattern to copy. Skip it if you want one finished automation, since every branch is only an example. The original’s text completion, text edit and DALL-E 2 steps are gone, because those calls no longer exist. Who uses it, and how | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Trainers | Show a class how each call style works | A trainer runs one branch at a time and compares the answers. | | Software | Developers | Copy a call pattern into their own flow | A developer lifts the HTTP Request example into a flow of their own. | | Support | Support leads | Try short reply drafts | A lead runs the quick replies branch on a customer message. | | Marketing | Content teams | Try summary and translation prompts | A team turns a summary into German in two steps. | You need a little n8n: import a file, add one credential and run one branch at a time. ### Where to use it Any n8n that can reach OpenAI will run it. The answers show in each node’s output panel. - n8n Cloud: import the file there and run a branch - Your own n8n server: the same file and steps - The audio branch: only on a machine where n8n can read your audio file - Your own flows: copy a branch into them ### How to set it up Download saves a zip with `workflow.json` and Mindket’s setup notes in your downloads folder. Setup takes one OpenAI credential, selected in seven nodes. What you need first | Need | Detail | | --- | --- | | n8n | On n8n Cloud or on a server of your own | | OpenAI | An API key with access to \`gpt-5.6-terra\` | | Audio file | Only for the switched off branch, in a folder n8n can read | 1. In n8n, create a workflow, open its menu, choose Import from File and pick `workflow.json`. 2. Add an OpenAI credential and select it in `ChatGPT-ex1.1`, `ChatGPT-ex1.2`, `ChatGPT-ex2`, `ChatGPT-ex3.2`, `ChatGPT-ex4` and `ChatGPT-ex`. In the HTTP Request node `ChatGPT-ex3.1`, choose the OpenAI credential type and select the same one. 3. Run one branch at a time: open its last node, such as `ChatGPT-ex1.2`, and execute it with its earlier nodes. 4. For the audio branch, set your file’s path in `LoadMP3`, turn on `LoadMP3` and `Whisper-transcribe`, and turn `Text-example` off. ### How to use it Run a branch and read each node’s output. The summary and the German text come from the first branch, the emoji answer from the second, and the image prompt from the third. The fourth branch gives SVG code and the fifth gives three short replies. What to change for a different result | To change | Where | | --- | --- | | The sample text | The Code node \`Text-example\` | | The model | The \`Model\` value in each OpenAI node and the \`model\` body parameter of \`ChatGPT-ex3.1\` | | The instructions | The system messages in \`ChatGPT-ex2\`, \`Code-ex3.1\`, \`ChatGPT-ex3.2\` and \`ChatGPT-ex\` | | How many replies the fifth branch drafts | \`Number of Completions\` in \`ChatGPT-ex\` | ### Example A trainer opens the workflow in front of a class and runs `ChatGPT-ex1.2`. The first call turns the herb garden text into a short summary, and the second call turns the summary into German. She then runs `ChatGPT-ex2` and shows how a system message adds five emojis to the same summary. Last she runs `ChatGPT-ex` and the class reads three short replies to a sample email. ### For newcomers and experts **If you are new.** n8n draws a workflow as boxes joined by lines, and each box, a node, does one job. Here every branch is one small lesson in how to ask a chat model for something. Start with the first branch and read its two prompts. **For experts.** Six branches use n8n’s older OpenAI node, which n8n hides from its node list, and one calls the chat completions endpoint through an HTTP Request node. Where to look closer | Node | What it does | What to know | | --- | --- | --- | | \`ChatGPT-ex1.1\` and \`ChatGPT-ex1.2\` | Send only user messages, a summary and then a translation | The second reads \`message.content\` from the first | | \`Code-ex3.1\` and \`ChatGPT-ex3.1\` | Build a list of system and user messages and send it as one request | The body holds only \`model\` and \`messages\` | | \`ChatGPT-ex4\` and \`HTML-ex4\` | Ask for HTML with an SVG and render it | The Set node \`Set-ex4\` holds the prompt | | \`ChatGPT-ex\` | Drafts replies with \`n\` set to 3 | Check that your model accepts a count above 1 | ### Good to know Most of the original’s OpenAI calls named models that OpenAI has retired, so this copy swaps the model and drops three nodes. - Cut: the text completion and text edit nodes on \`text-davinci-003\`, which OpenAI’s deprecations page, read on 12 November 2026, says shut down on 4 January 2024. The DALL-E 2 image node is cut too, since \`dall-e-2\` was removed on 12 May 2026 - Models: \`gpt-3.5-turbo-0301\` shut down on 13 September 2024 and \`gpt-3.5-turbo\` on 23 October 2026, with \`gpt-5.6-terra\` as the replacement. All seven chat calls now name it - Settings dropped: the original’s token limits and temperatures, so each call uses the model’s own settings - The sample text: the original used a podcast transcript, and this copy has a short text of its own - Run one branch at a time: each is a separate call to OpenAI, and a note in the file says the whole workflow is slow - Audio: \`whisper-1\` shuts down on 26 February 2027, and OpenAI names \`gpt-live-transcribe\` or \`gpt-transcribe\` as the replacement - Your data: the text goes to OpenAI - Credentials: the JSON holds none ## README ```markdown # OpenAI chat examples: summary, German, SVG and quick replies An n8n workflow with five small examples of calling OpenAI's chat models, all fed the same short sample text. It summarises the text and translates the summary. It adds a system message and sends a list of messages through the HTTP Request node. It also writes a prompt for a cover image, asks for SVG code and drafts quick email replies. A sixth branch, switched off, transcribes an audio file. ## What is inside - `workflow.json`: the workflow as n8n exports it, twenty-three nodes: fourteen that do the work and nine sticky notes. It holds no credential. - `README.md`: these notes. ## What we changed from the original copy - The credential links are gone. Select your own OpenAI account. - The original opened with a branch that used OpenAI's text completion and text edit calls on `text-davinci-003`. OpenAI's deprecations page, read on 12 November 2026, says that model and the `/v1/edits` endpoint shut down on 4 January 2024, and it names no edit replacement apart from chat completions. Mindket's copy drops those two nodes and the note that introduced them. - The last step of the third example made four pictures with DALL-E 2. The same page says `dall-e-2` and `dall-e-3` were removed on 12 May 2026. That node is gone too, and the example now ends with the written picture prompt. - Every chat node named `gpt-3.5-turbo-0301`, or named nothing and took the node's default, `gpt-3.5-turbo`. The first shut down on 13 September 2024. The second shut down on 23 October 2026, and OpenAI names `gpt-5.6-terra` as its replacement. All seven now name `gpt-5.6-terra`. - The original also set a token limit and a temperature on several chat nodes. Mindket's copy drops both, so each call uses the model's own settings. The fifth example still asks for three replies. - The example text was a transcript of a podcast episode. It is now a short text of our own about herbs in a window box. - The sample audio path now reads `YOUR_AUDIO_FILE.mp3`. - Three typos in the prompts, "wollowing", "followint" and "promt", are corrected. - Nothing else. ## Before you start - An n8n instance, on n8n Cloud or your own server. - An OpenAI API key. - For the audio branch only: an audio file on the machine that runs n8n, in a folder n8n can read. ## Set it up 1. In n8n, create a workflow, open its menu and choose Import from File. Pick `workflow.json`. 2. Add an OpenAI credential. Select it in the six OpenAI nodes `ChatGPT-ex1.1`, `ChatGPT-ex1.2`, `ChatGPT-ex2`, `ChatGPT-ex3.2`, `ChatGPT-ex4` and `ChatGPT-ex`. In `ChatGPT-ex3.1`, the HTTP Request node, choose the OpenAI credential type and select the same one. 3. Open the last node of a branch, such as `ChatGPT-ex1.2`, and execute it with its earlier nodes. Do one branch, then the next. 4. For the audio branch, set the path of your file in `LoadMP3` and turn on `LoadMP3` and `Whisper-transcribe`. Turn `Text-example` off so the transcript passes through. Read the note on `whisper-1` below before you rely on this branch. ## How a run goes `When clicking "Execute Workflow"` starts the example branches. Each one reads the sample text from `Text-example`, or carries its own. 1. Example 1: `ChatGPT-ex1.1` writes a summary and `ChatGPT-ex1.2` translates it to German. Only user messages are sent. 2. Example 2: `ChatGPT-ex2` sends a system message that asks for five emojis at the end, then the user message. 3. Example 3: `Code-ex3.1` builds the list of system and user messages. `ChatGPT-ex3.1` sends it through the HTTP Request node, and `ChatGPT-ex3.2` turns the answer into the image prompt. 4. Example 4: `Set-ex4` holds a prompt that asks for HTML with an SVG. `ChatGPT-ex4` answers and `HTML-ex4` renders the code. 5. Example 5: `ChatGPT-ex` drafts three short replies to an email, five to eight words each. 6. Audio, switched off: `LoadMP3` reads the file, and `Whisper-transcribe` sends it to the transcription call. ## Change the look - The sample text: the Code node `Text-example`. - The model: the `Model` value in each OpenAI node and the `model` body parameter of `ChatGPT-ex3.1`. - The instructions: the system messages in `ChatGPT-ex2`, `Code-ex3.1`, `ChatGPT-ex3.2` and `ChatGPT-ex`. - How many replies the fifth example drafts: `Number of Completions` in `ChatGPT-ex`. ## Good to know - Each branch is a separate call to OpenAI, and a sticky note in the file warns that the whole workflow is slow. - Each OpenAI node here is n8n's older OpenAI node, which n8n hides from its node list. It still runs from this file. - The third example's HTTP Request node sends only `model` and `messages`. The original also set a temperature, a token limit and a count of one, which are gone. - The fifth example keeps its request for three replies. Check that your model accepts it, and set the count to 1 if it does not. - `whisper-1` shuts down on 26 February 2027, and OpenAI's deprecations page names `gpt-live-transcribe` or `gpt-transcribe` as the replacement. - The text goes to OpenAI. - The JSON holds no credential. ``` ## What is in it 3 files, 20 KB, downloaded as a zip. ```text NOTICE.md 616 B README.md 5 KB workflow.json 14 KB ``` ## Workflow check Checked by Mindket on 13 Nov 2026. Read from the workflow’s file, not from a run. - Steps: 14 steps, starting by hand - AI: 6 steps call an AI model: ChatGPT-ex1.1, ChatGPT-ex1.2, ChatGPT-ex2, ChatGPT-ex3.2, ChatGPT-ex4 and 1 more - Sign-ins: Signs in to: OpenAI - API keys: No API key is left in the file - Step types: Mindket’s checker reads all 7 of its step types ## Get it - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/ea7428e6-a229-4b94-9123-4c8bea162b19) - [Its page on Mindket](https://mindket.com/p/ea7428e6-a229-4b94-9123-4c8bea162b19)