Smart Function

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In Robility flow this component was renamed from Lambda Filter to Smart Function.

The Smart Function component uses an LLM to generate a Lambda function to filter or transform structured data based on natural language instructions. You must connect this component to a Language Model component, which is used to generate a function based on the natural language instructions you provide in the Instructions parameter. The LLM runs the function against the data input and then outputs the results as Data.

Tip 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'. One sentence or less is preferred because end punctuation, like periods, can cause errors or unexpected behavior. If you need to provide more detailed 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.

The following example uses the API Request endpoint to pass JSON data from the https://jsonplaceholder.typicode.com/users endpoint to the Smart Function component. Then, the Smart Function component passes the data, and the instruction extract emails to the attached Language Model component. From there, the LLM generates a filter function that extracts email addresses from the JSON data, returning the filtered data as chat output.

Smart Function parameters

Some Smart Function component input parameters are hidden by default in the visual editor. You can toggle parameters through the Controls in the component’s header menu.

Name	Display Name	Info
data	Data	Input parameter. The structured data to filter or transform using a Lambda function.
llm	Language Model	Input parameter. Connect LanguageModel output from a Language Model component.
filter_instruction	Instructions	Input parameter. Natural language instructions for how to filter or transform the data. The LLM uses these instructions to create a Lambda function.
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.
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.

Smart Function

Smart Function parameters

Smart Function

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