Multi-agent business intelligence orchestration system powered by GPT-5/Deepseek v3.2exp, LangGraph, and research-augmented generation.
# LangGraph BI Agent Orchestrator        **Author**: Raja Hussain **Built with**: Python, LangGraph, FastAPI, Docker, DeepSeek, GPT-5 **Status**: MVP-Ready **Last Updated**: December 6, 2025 --- ## TLDR - Coordinates 5 specialized AI agents with LangGraph to answer business questions - Retrieves academic papers from Semantic Scholar and arXiv with proper citations - Routes queries between DeepSeek and GPT-5 to cut costs by 86% - Auto-generates PowerPoint decks and Excel workbooks from single queries - 2.1x speedup with parallel execution, 138x speedup on cache hits --- ## Table of Contents - [Overview](#overview) - [Quick Start](#quick-start) - [System Architecture](#system-architecture) - [Key Features](#key-features) - [Performance Metrics](#performance-metrics) - [Technology Stack](#technology-stack) - [Project Structure](#project-structure) - [Configuration](#configuration) - [API Usage](#api-usage) - [Testing](#testing) - [Deployment](#deployment) - [Cost Analysis](#cost-analysis) - [Troubleshooting](#troubleshooting) - [Development](#development) - [Roadmap](#roadmap) --- ## Overview This system coordinates multiple specialized AI agents to provide comprehensive business analysis backed by academic research. It automatically generates three deliverables from a single query: 1. **Structured JSON** - Machine-readable data for API integrations 2. **PowerPoint Presentation** - Professional executive summary decks (10-12 slides) 3. **Excel Workbook** - Analysis spreadsheets with
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