@promptbook/remote-client/umd/src/llm-providers/_multiple/joinLlmExecutionTools.d.ts

Promptbook: Create persistent AI agents that turn your company's scattered knowledge into action

import type { LlmExecutionTools } from '../../execution/LlmExecutionTools';
import type { string_markdown_text } from '../../types/string_markdown';
import type { string_title } from '../../types/string_title';
import { MultipleLlmExecutionTools } from './MultipleLlmExecutionTools';
/**
 * Joins multiple LLM Execution Tools into one.
 *
 * This function takes a list of `LlmExecutionTools` and returns a single unified
 * `MultipleLlmExecutionTools` object. It provides failover and aggregation logic:
 *
 * 1.  **Failover**: When a model call is made, it tries providers in the order they were provided.
 * If the first provider doesn't support the requested model or fails, it tries the next one.
 * 2.  **Aggregation**: `listModels` returns a combined list of all models available from all providers.
 * 3.  **Empty case**: If no tools are provided, it logs a warning (as Promptbook requires LLMs to function).
 *
 * Tip: You don't have to use this function directly, just pass an array of LlmExecutionTools to the `ExecutionTools`.
 *
 * @param title - A descriptive title for this collection of joined tools
 * @param llmExecutionTools - An array of execution tools to be joined
 * @returns A single unified execution tool wrapper
 *
 * @public exported from `@promptbook/core`
 */
export declare function joinLlmExecutionTools(title: string_title & string_markdown_text, ...llmExecutionTools: ReadonlyArray<LlmExecutionTools>): MultipleLlmExecutionTools;