@promptbook/azure-openai/esm/typings/src/prepare/preparePipeline.d.ts

Promptbook: Run AI apps in plain human language across multiple models and platforms

import type { ExecutionTools } from '../execution/ExecutionTools';
import type { PipelineJson } from '../pipeline/PipelineJson/PipelineJson';
import type { PrepareAndScrapeOptions } from './PrepareAndScrapeOptions';
/**
 * Prepare pipeline locally
 *
 * @see https://github.com/webgptorg/promptbook/discussions/196
 *
 * Note: This function does not validate logic of the pipeline
 * Note: This function acts as part of compilation process
 * Note: When the pipeline is already prepared, it returns the same pipeline
 * @public exported from `@promptbook/core`
 */
export declare function preparePipeline(pipeline: PipelineJson, tools: Pick<ExecutionTools, 'llm' | 'fs' | 'scrapers'>, options: PrepareAndScrapeOptions): Promise<PipelineJson>;
/**
 * TODO: Write tests for `preparePipeline` and `preparePipelineOnRemoteServer`
 * TODO: [🏏] Leverage the batch API and build queues @see https://platform.openai.com/docs/guides/batch
 * TODO: [🧊] In future one preparation can take data from previous preparation and save tokens and time
 * TODO: [🛠] Actions, instruments (and maybe knowledge) => Functions and tools
 * TODO: [🧠][♏] Maybe if expecting JSON (In Anthropic Claude and other models without non-json) and its not specified in prompt content, append the instructions
 *       @see https://docs.anthropic.com/en/docs/test-and-evaluate/strengthen-guardrails/increase-consistency#specify-the-desired-output-format
 */