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multi-agent-framework

An asynchronous, tool-enabled multi-agent architecture designed to diagnose complex cross-functional business problems in retail ecosystems ("Why are gross margins dropping despite volume growth?").

This framework implements a Hub-and-Spoke dependency model, allowing five domain-specific agents to collaboratively query real-time data sources by accessing a specialized Text-to-SQL Agent as a shared diagnostic utility tool. A Root Orchestrator finally synthesizes the inputs into a cohesive root-cause analysis.

Core Architecture Components

  1. Data Ingestion Engine: Acts as an abstraction layer across physical databases, Excel workbooks, and raw text extraction pipelines.

  2. The SQL Agent (The Utility Hub): Accepts plain-text instructions from any sibling agent, handles Chain-of-Thought reasoning to maps the prompt against schema context, constructs structured SQL, and retrieves raw tabular data arrays.

  3. Domain Agents (The Spokes): Five functional retail domain brains focusing on independent operational streams:

  4. Pricing & Promotion: Analyzes markdown elasticities and margin erosion.

  5. Inventory Management: Identifies systemic stock-out events and shrinkage issues.

  6. Supply Chain & Logistics: Surfaces freight bottlenecks, lead times, and port delays.

  7. Planning: Evaluates forward-looking demand forecasting variance.

  8. Sourcing: Validates raw material index trends and COGS discrepancies.

  9. Root Orchestrator: The structural convergence node that synthesizes downstream agent readouts to find the definitive cross-functional "Why" behind performance shifts.

retail_analytics_framework/ │ ├── config.py # System parameters & environment configuration ├── main.py # Operational pipeline entrypoint │ ├── database/ │ ├── init.py │ └── connection.py # Connectors for Excel parsing & raw SQL execution │ └── agents/ ├── init.py ├── base_agent.py # Abstract class layout enforcing execution patterns ├── sql_agent.py # The centralized Text-to-SQL reasoning agent ├── domain_agents.py # Functional domain expert nodes (Pricing, Inventory, etc.) └── orchestrator.py # Master Root Orchestrator for macro diagnosis

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