Aug 9, 2026

AI Customer Support Knowledge Agent

buildwithswytchcode ai-agents customer-support gemini streamlit

🚀 What it's about

The AI Customer Support Knowledge Agent is an autonomous, end-to-end customer support ticket resolution pipeline built with Gemini Flash and orchestrated using Swytchcode APIs (Track 1).

When a support ticket is received, the agent automatically:

  1. Analyzes & Categorizes customer intent, urgency, and technical severity.
  2. Searches Internal Docs using Swytchcode's Notion bundle to retrieve relevant solution articles.
  3. Escalates Technical Bugs automatically by creating engineering issues via Swytchcode's Jira bundle whenever critical system errors (like ERR_PAYMENT_500) are detected.
  4. Dispatches Resolutions by drafting context-aware replies and sending customer emails via Swytchcode's Resend bundle.
All execution steps, tool call parameters, and AI reasoning chains are visualized live inside an interactive Streamlit dashboard.

💡 Why I built it

Modern support engineering teams spend countless hours manually triaging tickets, searching fragmented documentation, copy-pasting bug details into Jira, and drafting routine email replies.

I built this agent to prove how Swytchcode's unified API orchestration layer combined with Gemini reasoning can eliminate cross-platform context switching, reducing ticket triage and resolution time from hours to seconds.

🌟 How it's useful for others

  • For Support Operations: Automates up to 80% of routine inquiries and standard billing/technical support flows with empathetic, high-accuracy responses.
  • For Engineering Teams: Ensures critical production bugs are escalated immediately to Jira with structured diagnostic details attached.
  • For Developers & Architects: Serves as a modular, production-ready reference architecture for building multi-tool agentic workflows with clean fallback handling and audit logging.

🧰 Tech Stack & Integrations

  • LLM Engine: Google Gemini Flash
  • API Orchestration Layer: Swytchcode CLI & SDK (Track 1)
  • Tool Integrations: Notion, Jira Cloud, Resend
  • Frontend UI: Streamlit

🔗 Project Links

  • 📂 GitHub Repository: [https://github.com/manishgupta-ind/swytchcode-support-agent](https://github.com/manishgupta-ind/swytchcode-support-agent)
  • 🌐 Live Streamlit App: [https://swytchcode-support-agent.streamlit.app](https://swytchcode-support-agent.streamlit.app)
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