Pricing
Pay per usage
Allows you to process output of other actors or stored dataset with single LLM prompt. It's useful if you need to enrich data, summarize content, extract specific information, or manipulate data in a structured way using AI.
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Pricing
Pay per usage
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Last modified
2 months ago
modelEnumRequired
The LLM to use for processing. Each model has different capabilities and pricing. GPT-4o-mini and Claude 3.5 Haiku are recommended for cost-effective processing, while models like Claude 3 Opus or GPT-4o offer higher quality but at a higher cost.
"gpt-4o-mini": string"gpt-4o": string"claude-3-5-haiku-latest": string"claude-3-5-sonnet-latest": string"claude-3-opus-latest": string"gemini-1.5-flash": string"gemini-1.5-flash-8b": string"gemini-1.5-pro": stringllmProviderApiKeystringRequired
Your API key for the LLM Provider (e.g., OpenAI).
temperaturestringRequired
Sampling temperature for the LLM API (controls randomness). We recommend using a value closer to 0 for exact results. In case of more 'creative' results, we recommend to use a value closer to 1.
Default value of this property is "0.1"
multipleColumnsbooleanOptional
When enabled, instructs the LLM to return responses as JSON objects, creating multiple columns in the output dataset. The columns need to be named and described in the prompt. If disabled, responses are stored in a single llmresponse column.
Default value of this property is false
promptstringRequired
The prompt template to use for processing. You can use ${fieldName} placeholders to reference fields from the input dataset.
skipItemIfEmptybooleanOptional
When enabled, items will be skipped if any ${field} referenced in the prompt is empty, null, undefined, or contains only whitespace. This helps prevent processing incomplete data.
Default value of this property is true
maxTokensintegerRequired
Maximum number of tokens in the LLM API response for each item.
Default value of this property is 300
testPromptbooleanOptional
Test mode that processes only a limited number of items (defined by testItemsCount). Use this to validate your prompt and configuration before running on the full dataset. We highly recommend enabling this option first to validate your prompt because of ambiguity of the LLM responses.
Default value of this property is true