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Universal AI Development Platform with working MCP integration, multi-provider support, voice (TTS/STT/realtime), and professional CLI. 58+ external MCP servers discoverable, multimodal file processing, RAG pipelines. Build, test, and deploy AI applicatio

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/** * 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;