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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 . Download it on this page or copy its JSON, then import it into an n8n canvas. Nothing runs until you activate it in n8n.
Manual start
It starts when you run a branch by hand in n8n. Each branch works on the same sample text:
Five examples of OpenAI chat calls, each with its answer in the node’s output
What you need before you start.
Language model
Answers every example call, and transcribes the audio branch when it is switched on.
NeedsOpenAI API key with access to gpt-5.6-terra
Checked by Mindket on 13 Nov 2026
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.
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.
| 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.
Any n8n that can reach OpenAI will run it. The answers show in each node’s output panel.
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.
| 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 |
workflow.json.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.ChatGPT-ex1.2, and execute it with its earlier nodes.LoadMP3, turn on LoadMP3 and Whisper-transcribe, and turn Text-example off.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.
| 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 |
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.
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.
| 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 |
Most of the original’s OpenAI calls named models that OpenAI has retired, so this copy swaps the model and drops three nodes.
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 2026gpt-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 itwhisper-1 shuts down on 26 February 2027, and OpenAI names gpt-live-transcribe or gpt-transcribe as the replacementAn 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.
workflow.json: the workflow as n8n exports it, twenty-three nodes: fourteen that do the work and nine sticky notes.README.md: these notes.text-davinci-003. OpenAI's/v1/edits endpoint shut down on 4 January 2024,dall-e-2 and dall-e-3 weregpt-3.5-turbo-0301, or named nothing and took the node's default, gpt-3.5-turbo. The first shut downgpt-5.6-terra as its replacement.gpt-5.6-terra.YOUR_AUDIO_FILE.mp3.workflow.json.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 OpenAIChatGPT-ex1.2, and execute it with its earlier nodes. Do one branch, thenLoadMP3 and turn on LoadMP3 and Whisper-transcribe. TurnText-example off so the transcript passes through. Read the note on whisper-1 below before you rely on this branch.When clicking "Execute Workflow" starts the example branches. Each one reads the sample text from Text-example, or
carries its own.
ChatGPT-ex1.1 writes a summary and ChatGPT-ex1.2 translates it to German. Only user messages are sent.ChatGPT-ex2 sends a system message that asks for five emojis at the end, then the user message.Code-ex3.1 builds the list of system and user messages. ChatGPT-ex3.1 sends it through the HTTP RequestChatGPT-ex3.2 turns the answer into the image prompt.Set-ex4 holds a prompt that asks for HTML with an SVG. ChatGPT-ex4 answers and HTML-ex4 renders the code.ChatGPT-ex drafts three short replies to an email, five to eight words each.LoadMP3 reads the file, and Whisper-transcribe sends it to the transcription call.Text-example.Model value in each OpenAI node and the model body parameter of ChatGPT-ex3.1.ChatGPT-ex2, Code-ex3.1, ChatGPT-ex3.2 and ChatGPT-ex.Number of Completions in ChatGPT-ex.model and messages. The original also set a temperature, a tokenwhisper-1 shuts down on 26 February 2027, and OpenAI's deprecations page names gpt-live-transcribe or gpt-transcribeNOTICE.md 616 B README.md 5 KB workflow.json 14 KB
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