The OpenAI node connects to OpenAI’s hosted large language models. It accepts input prompts, processes them using a selected model, and returns generated answers. This node is typically used for tasks such as reasoning, summarization, content generation, and conversational response.
Configuration:
When setting up the openAI node, you’ll need to configure several parameters:
- Model – AI model to use (Default: “gpt-4”). Selects which OpenAI model will process your requests. Different models offer varying capabilities, context lengths, and price points. GPT-4o provides the best balance of performance and efficiency for most tasks.
- API Key – Required: OpenAI API key for authentication. This secure credential grants access to OpenAI’s API services. You can generate or manage keys through your OpenAI account dashboard.
- Max Tokens – Maximum response length (Default: 1024). Limits the number of tokens (roughly 4 characters per token) in the model’s response. Increase for longer outputs, decrease to control costs, and response size.
Supported Model Variants:
| Model | Input Tokens | Optimized For |
|---|---|---|
| GPT-3.5-Turbo-4K | 4K | Fast responses, most cost-effective option, suitable for shorter queries and simple tasks |
| GPT-3.5-Turbo-16K | 16K | Extended context processing, handling longer documents, cost-effective for medium-length tasks |
| GPT-4-128K | 128K | Maximum context length, advanced reasoning with very large documents, complex multi-step tasks |
| Custom Model | Configurable | Allows users to define custom model settings with API key, tokens, and parameters for specialized applications |
Key capabilities include:
- Advanced natural language understanding and generation
- Complex reasoning and problem-solving
- Content creation and transformation
- Conversational AI development
- Information extraction and summarization
Inputs and Outputs
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Input Channels
Prompt – Primary text input for the model.
Questions – Accepts plain text prompts or user-generated questions, forwarded to the OpenAI model for processing.
Documents – Document objects for context.
System – System instructions for the model.
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Output Channels
Text – Generated text output.
Answers – The model-generated response based on the input received. The output is a string of generated text that can be passed to other nodes.
Common Use Cases
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Content Creation
– Generate creative writing, articles, and marketing copy
– Create summaries of longer documents
– Develop structured content from unstructured inputs
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Information Analysis
– Extract insights from complex text
– Classify and categorize information
– Identify patterns and relationships
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Conversational AI
– Build sophisticated chatbots and virtual assistants
– Develop customer support automation
– Create interactive knowledge-based systems
Frequently Asked Questions:
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Authentication Issues
Invalid API key: Ensure your OpenAI API key is correctly entered and has sufficient permissions
Organization access: Verify your organization ID if using organization-specific resources
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Request Limitations & Timeouts
Rate limits: Implement request throttling or upgrade to a higher tier for more capacity
Timeouts: Increase the timeout parameter or reduce the complexity of your prompt
