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- Create Response
ActionOpenAIUpdated May 2026
How do I use the OpenAI Responses API?
Short answer: Drop the "OpenAI → Create Response" action anywhere in your workflow, map the inputs from upstream nodes, and publish.
Inputs
The fields this action accepts.
Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.
| Field | Type | Required | Description |
|---|---|---|---|
Model model | options | Required | OpenAI model id |
Input input | string | Required | Plain-text prompt or structured input |
Instructions (system) instructions | string | Optional | Top-level instructions (replaces system role) |
Max Output Tokens max_output_tokens | string | Optional | 1024 |
Temperature temperature | string | Optional | 0.7 |
Store Response store | options | Optional | Whether OpenAI stores the response server-side for later retrieval |
Sample request
{"model": "{{trigger.model}}","input": "e.g. Summarize the attached document","instructions": "e.g. You are a helpful research assistant","max_output_tokens": "1024","temperature": "0.7"}
Returns
{"id": "resp_abc","model": "gpt-5","usage": {"input_tokens": 10,"total_tokens": 60,"output_tokens": 50},"output": [{"role": "assistant","type": "message","content": [{"text": "Sample","type": "output_text"}]}]}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for Create Response.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about Create Response.
What does the Create Response action do in OpenAI?
Creates a model response using OpenAI's Responses API, the unified endpoint that supersedes chat-completions for new use cases. Supports tools, vision, structured output, and file inputs in a single call.
What inputs does Create Response require?
Required: Model, Input. Every input accepts a static value or a variable from any upstream node in your workflow.
Can I use dynamic inputs from earlier workflow nodes?
Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.
What happens if OpenAI returns an error?
The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.
Does Create Response support batch operations?
Yes. Run Create Response inside a Loop node to process arrays. Tiny Command handles OpenAI's rate limits automatically so you don't have to throttle manually.
More actions
Other OpenAI actions.
Action
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Analyzes an image using GPT-4o vision, accepting a URL or base64-encoded image plus a text prompt. Use for OCR, chart extraction, alt-text generation, or visual QA.
ActionChat Completion
Sends a message and gets a response from an OpenAI chat model (gpt-4o, gpt-4o-mini, o-series, etc.). The standard chat-completion action; supports system prompts, temperature, and stop sequences.
ActionChat with Tools
Chat completion with tool/function calling enabled. The model may return tool_calls instead of (or in addition to) text; you execute them and feed results back as tool messages for the next turn.
ActionCreate Batch
Submits a batch of OpenAI requests at a 50% cost discount with a 24-hour SLA. Requires an uploaded JSONL file id with one request per line. Perfect for bulk classification or embedding jobs.
ActionCreate Embedding
Generates vector embeddings for text using text-embedding-3-small or text-embedding-3-large. The de-facto embeddings default for RAG and semantic search.
ActionCreate Image (DALL-E)
Generates images from a text prompt using DALL-E (or gpt-image-1). Supports size, quality, and style controls; returns a URL or base64-encoded image.
Send create response from your workflows.
Triggered by anything in the catalog. Free tier available. No credit card.