@juspay/neurolink/dist/workflow/workflows/fallbackWorkflow.d.ts

The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types — generate, stream and decide. `decide` returns typed, calibrated judgements from a non-generative model (~400ms, ~$0.00002

/**
 * Fallback Workflow
 * =================
 *
 * Sequential fallback chain using layer-based execution:
 * - Try fast model first
 * - Fall back to mid-tier if needed
 * - Final fallback to premium model
 *
 * Ideal for: Cost-optimization with quality guarantee
 *
 * @module workflow/workflows/fallbackWorkflow
 */
import type { WorkflowConfig } from "../../types/index.js";
/**
 * Fast-Fallback Workflow Configuration
 *
 * Uses layer-based execution with sequential groups:
 * 1. Fast tier: GPT-4o-mini (try first)
 * 2. Mid tier: Gemini 2.0 Flash (if fast fails)
 * 3. Premium tier: GPT-4o or Claude 3.5 Sonnet (last resort)
 *
 * Each group runs sequentially - only proceeds if previous fails
 *
 * @example
 * ```typescript
 * import { runWorkflow } from '../core/workflowRunner.js';
 * import { FAST_FALLBACK_WORKFLOW } from './fallbackWorkflow.js';
 *
 * const result = await runWorkflow(FAST_FALLBACK_WORKFLOW, {
 *   prompt: 'What is 2+2?',
 *   verbose: true,
 * });
 *
 * // Usually completes with fast tier, saving cost
 * console.log('Executed models:', result.ensembleResponses.length);
 * ```
 */
export declare const FAST_FALLBACK_WORKFLOW: WorkflowConfig;
/**
 * Aggressive Fallback Workflow
 *
 * More aggressive fallback with parallel premium tier:
 * 1. Fast tier: GPT-4o-mini (sequential)
 * 2. Premium tier: GPT-4o + Claude 3.5 (parallel, both execute)
 *
 * Guarantees high quality if fast tier fails
 */
export declare const AGGRESSIVE_FALLBACK_WORKFLOW: WorkflowConfig;