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Using AI Nodes

Leverage LLMs and AI in your workflows.

LLM Node​

The most commonly used AI node for text generation.

Basic Configuration​

model: gpt-4
systemPrompt: "You are a helpful assistant"
userMessage: "{{trigger.body.question}}"
temperature: 0.7
maxTokens: 500

Options​

  • Temperature — Creativity (0 = deterministic, 1 = creative)
  • Max Tokens — Response length limit
  • JSON Mode — Force JSON output

Example: Content Summarizer​

model: gpt-4
systemPrompt: |
  You are a content summarizer.
  Summarize the provided text in 3 bullet points.
userMessage: "{{http_request.output.body}}"
temperature: 0.3

Vision Node​

Analyze images with AI.

model: gpt-4-vision
image: "{{trigger.body.imageUrl}}"
prompt: "Describe what you see in this image"

Best Practices​

  • Choose the right model — GPT-4 for complex reasoning, GPT-3.5 for simple tasks
  • Optimize prompts — Be specific about output format
  • Handle errors — Add retry logic for rate limits
warning

AI nodes have usage costs based on tokens processed. Use GPT-3.5 when GPT-4 isn't needed.