Ask ChatGPT

Action ID: openai_ask_chat_gpt

Description

Use AI to ask a question to ChatGPT with customizable parameters for controlling the model's behavior.

Category

Popular

Provider

OpenAI

Connection

Name	Description	Required	Category
OpenAI Connection	The OpenAI connection to use for the chat.	True	openai

Input Parameters

Name	Type	Required	Default	Description
model	dropdown	-	gpt-4o-mini	The model to use for the chat. Available options: gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-4o, gpt-4o-mini, o3, o3-mini, o1, o1-mini
prompt	string	✓	-	The question to ask the model
temperature	number	-	0.9	Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive. Range: 0.0 to 1.0
max_tokens	integer	-	2048	The maximum number of tokens to generate. Requests can use up to 2,048 or 4,096 tokens shared between prompt and completion depending on the model
top_p	number	-	1.0	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass
frequency_penalty	number	-	0.0	Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim
presence_penalty	number	-	0.6	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the mode's likelihood to talk about new topics
system_message	string	-	"You are a helpful assistant."	Instructions for the AI assistant on how to behave and respond

View JSON Schema

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "default": "gpt-4o-mini",
      "title": "Model",
      "description": "The model to use for the chat.",
      "enum": [
        "gpt-4.1",
        "gpt-4.1-mini",
        "gpt-4.1-nano",
        "gpt-4o",
        "gpt-4o-mini",
        "o3",
        "o3-mini",
        "o1",
        "o1-mini"
      ]
    },
    "prompt": {
      "type": "string",
      "title": "Question",
      "description": "The question to ask the model."
    },
    "temperature": {
      "type": "number",
      "default": 0.9,
      "title": "Temperature",
      "minimum": 0.0,
      "maximum": 1.0,
      "description": "Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive."
    },
    "max_tokens": {
      "type": "integer",
      "default": 2048,
      "title": "Maximum Tokens",
      "description": "The maximum number of tokens to generate. Requests can use up to 2,048 or 4,096 tokens shared between prompt and completion depending on the model."
    },
    "top_p": {
      "type": "number",
      "default": 1.0,
      "title": "Top P",
      "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass."
    },
    "frequency_penalty": {
      "type": "number",
      "default": 0.0,
      "title": "Frequency penalty",
      "description": "Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim."
    },
    "presence_penalty": {
      "type": "number",
      "default": 0.6,
      "title": "Presence penalty",
      "description": "Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the mode's likelihood to talk about new topics."
    },
    "system_message": {
      "type": "string",
      "default": "You are a helpful assistant.",
      "title": "System Message",
      "description": "Instructions for the AI assistant on how to behave and respond."
    }
  },
  "required": ["prompt"]
}

Output Parameters

Name	Type	Description
content	string	The response content from ChatGPT

View JSON Schema

{
  "type": "object",
  "properties": {
    "content": {
      "type": "string",
      "title": "Content",
      "description": "The response content from ChatGPT."
    }
  },
  "required": ["content"]
}

How It Works

This node sends your prompt to OpenAI's ChatGPT API along with your configuration parameters. The API uses the specified model to process your question, considering the system message as context for how it should behave. Temperature, top_p, and penalty parameters control the randomness and diversity of the response. The model generates text based on these parameters and returns the content, which can then be used by subsequent nodes in your workflow.

Usage Examples

Example 1: Simple Question

Input:

prompt: "What are the main benefits of using workflow automation?"
model: "gpt-4o-mini"
temperature: 0.3
system_message: "You are a helpful assistant."

Output:

content: "Workflow automation offers several key benefits: 1) Increased efficiency by reducing manual tasks, 2) Fewer errors through consistent processes, 3) Cost savings from reduced labor needs, 4) Better scalability as processes can handle more volume, and 5) Improved employee satisfaction by eliminating repetitive work."

Example 2: Creative Writing

Input:

prompt: "Write a short product description for a smart home device"
model: "gpt-4o"
temperature: 0.8
presence_penalty: 0.6
system_message: "You are a creative marketing copywriter."

Output:

content: "Transform your living space with the SmartHub Pro - where cutting-edge technology meets effortless convenience. This sleek device seamlessly orchestrates your entire home ecosystem, learning your preferences and adapting to your lifestyle. From lighting to climate control, security to entertainment, everything responds to your voice or a simple tap."

Example 3: Data Analysis Request

Input:

prompt: "Analyze this sales data and provide insights: Q1: $50K, Q2: $65K, Q3: $58K, Q4: $72K"
model: "gpt-4.1"
temperature: 0.2
frequency_penalty: 0.3
system_message: "You are a data analyst. Provide clear, concise insights."

Output:

content: "Sales Analysis: Total annual revenue of $245K shows positive growth trend with 44% increase from Q1 to Q4. Key insights: 1) Strong Q2 growth (+30%) indicates successful spring initiatives, 2) Q3 dip (-11%) suggests seasonal weakness, 3) Q4 peak (+24% from Q3) demonstrates year-end momentum. Recommendation: Focus on sustaining Q4 strategies and addressing Q3 seasonal challenges."

Common Use Cases

• Customer Support Automation: Generate intelligent responses to customer inquiries and support tickets

• Content Creation: Write blog posts, product descriptions, email copy, and marketing materials

• Code Assistance: Get help with coding tasks, debugging, and code explanations

• Data Analysis: Analyze data sets and generate insights, summaries, and recommendations

• Language Translation: Translate content between languages while preserving context and tone

• Research Summarization: Condense long documents or articles into concise summaries

• Conversational AI: Build chatbots and virtual assistants for websites and applications

Error Handling

Error Type	Cause	Solution
Authentication Error	Invalid or missing OpenAI API key	Verify your OpenAI connection is properly configured with a valid API key
Rate Limit Error	Too many requests in a short period	Implement delays between requests or upgrade your OpenAI plan
Token Limit Exceeded	Prompt + response exceeds model's context window	Reduce prompt length or decrease max_tokens parameter
Invalid Model	Model name doesn't exist or access not granted	Verify the model name and check if it's available in your OpenAI account
Timeout Error	Request took too long to process	Reduce max_tokens or try a faster model like gpt-4o-mini
Content Policy Violation	Prompt violates OpenAI's usage policies	Revise prompt to comply with OpenAI's content policy guidelines

Notes

• Model Selection: The model selector provides various GPT versions ranging from GPT-4.1 down to O1-mini. Choose based on your accuracy and speed requirements. GPT-4.1 offers superior reasoning, while gpt-4o-mini is faster and more cost-effective.

• Temperature Control: Temperature controls creativity - lower values (0.1-0.5) produce more focused, deterministic outputs, higher values (0.7-1.0) produce more creative, diverse responses.

• Token Limits: Token limits vary by model. Default is 2048, but some models support different maximums. Monitor your token usage to optimize costs.

• System Messages: The system message sets the AI's role and behavior throughout the conversation. Craft clear, specific system messages for best results.

• Penalties: Frequency and presence penalties help control repetition and topic variety in responses. Use frequency_penalty to reduce repetitive phrases, and presence_penalty to encourage diverse topics.

• Cost Optimization: Use mini models for simple tasks to minimize costs. Reserve full GPT-4 models for complex reasoning or analysis tasks.