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44 lines
3.3 KiB
Plaintext
44 lines
3.3 KiB
Plaintext
---
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title: Smart Transform
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slug: /smart-transform
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---
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import Icon from "@site/src/components/icon";
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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import PartialParams from '@site/docs/_partial-hidden-params.mdx';
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import PartialDevModeWindows from '@site/docs/_partial-dev-mode-windows.mdx';
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This component has been renamed multiple times.
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Its previous names include **Lambda Filter** and **Smart Function**.
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The **Smart Transform** component uses an LLM and natural language instructions to generate a Lambda function that can filter or transform [`JSON`](/data-types#json), [`Table`](/data-types#table), or [`Message`](/data-types#message) input.
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You must connect this component to a [language model component](/components-models), which is used to generate a function based on the natural language instructions you provide in the **Instructions** parameter.
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The LLM runs the function against the input, and then outputs the results as [`JSON`](/data-types#json), [`Table`](/data-types#table), or [`Message`](/data-types#message).
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:::tip
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Provide brief, clear instructions, focusing on the desired outcome or specific actions, such as `Filter the data to only include items where the 'status' is 'active'`.
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One sentence or less is preferred because end punctuation, like periods, can cause errors or unexpected behavior.
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If you need to provide more details instructions that aren't directly relevant to the Lambda function, you can input them in the **Language Model** component's **Input** field or through a **Prompt Template** component.
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For the most reliable results, the **Smart Transform** component's output type must match the input type. For example, select **Message** output for [`Message`](/data-types#message) input.
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:::
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The following example uses the **API Request** endpoint to pass JSON data from the `https://jsonplaceholder.typicode.com/users` endpoint to the **Smart Transform** component.
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Then, the **Smart Transform** component passes the data and the instruction `extract emails` to the attached **Language Model** component.
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From there, the LLM generates a filter function that extracts email addresses from the JSON data, returning the filtered data as chat output.
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## Smart Transform parameters
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<PartialParams />
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| Name | Display Name | Info |
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|------|--------------|------|
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| data | JSON | Input parameter. The [`JSON`](/data-types#json), [`Table`](/data-types#table), or [`Message`](/data-types#message) input to filter or transform using the generated Lambda function. |
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| model | Language Model | Input parameter. Connect [`LanguageModel`](/data-types#languagemodel) output from a **Language Model** component. |
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| filter_instruction | Instructions | Input parameter. The natural language instructions for how to filter or transform the data. The LLM uses these instructions to create a Lambda function. |
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| sample_size | Sample Size | Input parameter. For large datasets, the number of characters to sample from the dataset head and tail. Only applied if the dataset meets or exceeds `max_size`. Default: `1000`. |
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| max_size | Max Size | Input parameter. The number of characters for the dataset to be considered large, which triggers sampling by the `sample_size` value. Default: `30000`. | |