@promptbook/remote-server
Version:
Promptbook: Create persistent AI agents that turn your company's scattered knowledge into action
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TypeScript
import type { Promisable } from 'type-fest';
import type { CommonToolsOptions } from '../../execution/CommonToolsOptions';
import type { string_postprocessing_function_name } from '../../types/string_person_fullname';
import type { TODO_any } from '../../utils/organization/TODO_any';
/**
* Options for `JavascriptExecutionTools`
*/
export type JavascriptExecutionToolsOptions = CommonToolsOptions & {
/**
* Functions to be executed in the JavaScript evaluation.
*
* This can be used in two ways:
* 1. To provide custom postprocessing functions. For this case function must receive one string and return a (promise of) string.
* 2. As environment for the ECECUTE SCRIPT, For this case function can be any function. [0]
*
* Note: There are also some built-in functions available:
* @see ./JavascriptEvalExecutionTools.ts
*/
functions?: Record<string_postprocessing_function_name, PostprocessingFunction | ToolFunction>;
};
/**
* Function that can be used to postprocess the output of the LLM
*/
export type PostprocessingFunction = ((value: string) => Promisable<string>) | Function;
/**
* Function that can be used as tool for AI model
*/
export type ToolFunction = (args: TODO_any) => Promise<TODO_any>;