Ask Claude

Action ID: claude_ask

Description

Ask Claude anything you want! This node supports multiple Claude models for generating AI-powered responses to your questions.

Provider

Anthropic Claude

Connection

Name

Description

Required

Input Parameters

Name

Type

Required

Default

Description

model

dropdown

claude-3-haiku-20240307

The model to use for the chat. Available options: claude-3-haiku-20240307, claude-3-sonnet-20240229, claude-3-opus-20240229, claude-3-5-sonnet-latest, claude-3-5-haiku-latest, claude-3-7-sonnet-latest, claude-opus-4-20250514, claude-sonnet-4-20250514

prompt

string

✓

The question to ask the model

images

array

The images to use for the chat. Supported formats: JPG, PNG, JPEG

temperature

number

0.5

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

1000

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

system_message

string

"You are a helpful assistant."

Instructions for the AI assistant on how to behave and respond.

View JSON Schema

{
  "description": "Ask Claude node input.",
  "properties": {
    "model": {
      "default": "claude-3-haiku-20240307",
      "description": "The model to use for the chat.",
      "enum": [
        "claude-3-haiku-20240307",
        "claude-3-sonnet-20240229",
        "claude-3-opus-20240229",
        "claude-3-5-sonnet-latest",
        "claude-3-5-haiku-latest",
        "claude-3-7-sonnet-latest",
        "claude-opus-4-20250514",
        "claude-sonnet-4-20250514"
      ],
      "title": "Model",
      "type": "string"
    },
    "prompt": {
      "description": "The question to ask the model.",
      "title": "Question",
      "type": "string"
    },
    "images": {
      "default": null,
      "description": "The images to use for the chat.",
      "items": {
        "type": "string"
      },
      "title": "Images",
      "type": "array"
    },
    "temperature": {
      "default": 0.5,
      "description": "Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.",
      "maximum": 1.0,
      "minimum": 0.0,
      "title": "Temperature",
      "type": "number"
    },
    "max_tokens": {
      "default": 1000,
      "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.",
      "title": "Maximum Tokens",
      "type": "integer"
    },
    "system_message": {
      "default": "You are a helpful assistant.",
      "description": "Instructions for the AI assistant on how to behave and respond.",
      "title": "System Message",
      "type": "string"
    }
  },
  "required": [
    "prompt"
  ],
  "title": "AskClaudeInput",
  "type": "object"
}

Output Parameters

Name

Type

Description

content

string

The response from Claude

View JSON Schema

{
  "description": "Ask Claude node output.",
  "properties": {
    "content": {
      "title": "Response",
      "type": "string",
      "description": "The response from Claude."
    }
  },
  "required": [
    "content"
  ],
  "title": "AskClaudeOutput",
  "type": "object"
}

How It Works

This node sends your prompt to Claude's API along with your configuration parameters. Claude processes your question using the specified system message as context, then generates a response based on the temperature and other settings you've configured. If you provide images, they are analyzed alongside the text prompt. The response is returned as text that can be used by subsequent nodes in your workflow.

Usage Examples

Example 1: Simple Question

Input:

prompt: "What is the capital of France?"
model: "claude-3-5-haiku-latest"
temperature: 0.1

Output:

content: "The capital of France is Paris."

Example 2: Image Analysis

Input:

prompt: "Describe what you see in this image"
model: "claude-3-5-sonnet-latest"
temperature: 0.5
images: ["https://example.com/photo.jpg"]

Output:

content: "This image shows a beautiful sunset over the ocean with golden orange hues reflecting on the water..."

Example 3: Creative Task

Input:

prompt: "Write a short haiku about technology"
model: "claude-3-5-sonnet-latest"
temperature: 0.8
system_message: "You are a creative poet. Write in a traditional haiku format."

Output:

content: "Circuits hum with life,
Silicon dreams take their flight,
Future, coded now."

Common Use Cases

Content Generation: Create blog posts, articles, product descriptions, and marketing copy
Customer Support: Generate thoughtful, personalized responses to customer inquiries
Data Analysis: Analyze and summarize data, identify patterns and insights
Image Analysis: Describe, analyze, and extract information from images
Translation and Localization: Translate content between languages while maintaining tone and meaning
Code Assistance: Generate, review, or explain code snippets across multiple programming languages
Research and Summarization: Process long documents and create concise summaries

Error Handling

Error Type

Cause

Solution

Authentication Error

Invalid or missing Claude API key

Verify your Claude 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 Claude 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 Claude account

Timeout Error

Request took too long to process

Reduce max_tokens or try a faster model like claude-3-haiku

Invalid Image Format

Unsupported image format provided

Ensure images are in JPG or PNG format only

Notes

Model Selection: Choose a model based on your needs. Claude 3 Haiku is cost-effective for simple tasks, while Claude Opus and Sonnet models offer superior reasoning for complex queries.
Temperature Control: Lower temperature (0.0-0.3) for factual, deterministic responses. Higher temperature (0.7-1.0) for creative content.
Image Support: You can provide images (JPG or PNG) alongside your prompt for analysis and discussion.
Token Limits: Be mindful of max_tokens setting. Adjust based on your expected response length and model context window.
System Messages: Craft clear system messages to guide Claude's behavior, tone, and response format.
Cost Optimization: Use Haiku models for simple tasks to minimize costs. Reserve Sonnet and Opus models for complex reasoning or analysis.

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Last updated 4 hours ago

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