Agentic Customer Support

Telco Support Agent

Production-grade AI-powered customer support Agent System built on Databricks.

Overview

This project implements a multi-agent system that processes telecom customer support queries in real-time, retrieves relevant information, and provides human agents with contextually appropriate responses.

Features

• Multi-agent supervisor orchestrating specialized sub-agents
• Vector Search for unstructured data retrieval
• Tool-calling agents for structured data retrieval
• Agent lifecycle tracked using MLflow and Unity Catalog
• Production monitoring using Agent Evaluation and MLflow Tracing
• Lakehouse App for front-end user interface

Repo Structure

agentic-customer-support/
├── README.md
├── pyproject.toml           # uv for dependency management 
├── uv.lock                  # uv lock file
├── requirements.txt         # Dependencies for notebook installation
├── .pre-commit-config.yaml  # Pre-commit hooks configuration
├── databricks.yml           # Databricks Asset Bundle config
│
├── resources/               # Databricks Asset Bundle resources
│   ├── data_pipelines/      # Data pipeline resources
│   ├── agent/               # Agent resources
│   └── ui/                  # UI app resources
│
├── configs/                 # Configuration files
│   ├── agents/              # Agent configurations
│   └── data/                # Data pipeline configurations
│
├── .github/                 # CI/CD workflows
│   └── workflows/
│       ├── pr-validation.yml           # PR validation
│       ├── dev-deploy-resources.yml    # Dev deployment
│       ├── staging-deploy-resources.yml # Staging deployment  
│       └── prod-deploy-resources.yml   # Production deployment
│
├── telco_support_agent/    
│   ├── __init__.py
│   ├── config/              # Config management
│   │
│   ├── agents/              # Agent implementations
│   │   ├── __init__.py
│   │   ├── supervisor.py    # Supervisor agent
│   │   ├── account.py       # Account management