Reference · Nodes
AI nodes
AI nodes put model calls inside a workflow, one step at a time. OpenAI Chat, Claude Chat, Gemini Chat and Grok Chat send a prompt and return text; the structured-output nodes return JSON that matches a schema you define; and vision, speech, image, embedding and web-search nodes cover the other kinds of model work. Simple LLM adds a plain text-generation step and runs without any provider credential.
64 nodes. Every page documents the shipped node: real parameters, real outputs, real error behaviour.
Model calls as workflow steps
Each provider has its own family of nodes, so a workflow can call the model that suits each step instead of one model for everything.
The chat nodes, OpenAI Chat, Claude Chat, Gemini Chat and Grok Chat, send a message, with optional system instructions, and return the model’s text. When the next node needs fields rather than prose, use a structured-output node instead: OpenAI Structured Output, Claude Structured Output, Gemini Structured Output or Grok Structured Output return JSON that matches the schema you give them. For problems with several steps of reasoning, Claude Thinking, Gemini Thinking, OpenAI Reasoning and Grok Reasoning use each provider’s extended-reasoning models.
The rest of the category covers model work other than text. OpenAI Speech-to-Text transcribes audio, and OpenAI TTS and Gemini TTS turn text into speech. Claude Vision and Gemini Vision describe images. OpenAI Embeddings and Gemini Embeddings turn text into vectors for similarity search. OpenAI Web Search, Claude Web Search, Gemini Google Search and Grok Web Search answer from current web results with their sources. For large jobs, Claude Batch and OpenAI Batch submit many requests as one asynchronous job.
Triggers
There are no triggers in this category. Start an AI workflow with a trigger from another category, with Webhook, or by hand with Manual Trigger.
Example workflows
- Classify support tickets. Claude Structured Output classifies each ticket into a category with a priority and a summary, and Switch dispatches it to a team based on that priority.
- Transcribe and summarize. OpenAI Speech-to-Text transcribes an MP3 recording to text, and Gemini Chat summarizes the transcript with a Gemini Flash model.
- Research into sections. Gemini Deep Research runs a competitive analysis of a market segment and returns a report with sources, and Response Parser splits the report into sections by its markdown headers.
All ai nodes
Frequently asked questions
Can an AI node start a workflow?
No. This category has no triggers: AI nodes run inside a workflow once something has started it. Pair them with a trigger from another category, such as Gmail Trigger or Webhook, start the run by hand with Manual Trigger, or put the workflow on a schedule.
Which credentials do AI nodes use?
Each provider's nodes share one credential type holding an API key from your account with that provider: OpenAI for the OpenAI nodes, AI Transform and Structured Output, Anthropic for the Claude nodes, Google AI for the Gemini nodes, and xAI for the Grok nodes. Create it once and every node from that provider can select it. Simple LLM, Prompt Template, Response Parser and Embedding Similarity need no credential.
How do AI nodes combine with core nodes?
Prompt Template builds the prompt from each item's fields, the model node does the work, and Response Parser pulls JSON or code blocks out of a reply when you did not use a structured-output node. If or Switch can then route on the result, for example sending the items OpenAI Moderation flagged down a separate branch.
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