csa — Gemini AI Agent
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    csa

    csa

    bhavesh-songara December 21, 2024
    8 copies 0 downloads

    CSA: Open-source customer support agents powered by Gemini Stream API. Watch as our agent network handles support through voice and screen sharing, working together 24/7 to solve customer issues.

    CSA (Customer Service Agent)

    Watch on YouTube

    An open-source customer service platform powered by Google's Gemini Stream API. Watch as our AI agent network handles support through voice and screen sharing, working together 24/7 to solve customer issues.

    Overview

    CSA provides a modern, AI-powered customer service solution that enables:

    • Real-time voice interactions with AI agents
    • Screen sharing capabilities
    • 24/7 customer support availability
    • Customizable AI agent personalities and instructions
    • Dark/light theme support

    Tech Stack

    • Frontend: Next.js 15, React, TypeScript
    • Backend: MongoDB
    • AI: Google Gemini Stream API
    • Styling: Tailwind CSS, shadcn/ui
    • State Management: Redux, Zustand
    • API Communication: React Query, Axios
    • Form Handling: React Hook Form, Zod

    Prerequisites

    • Node.js 18+
    • MongoDB database
    • Google Cloud Project with Gemini API access
    • Environment variables setup

    Getting Started

    1. Clone the repository:

        git clone https://github.com/your-username/csa.git
        cd csa
      
    2. Install dependencies:

        npm install
      
    3. Create a .env file in the root directory:

      cp .env.example .env
      
    4. Start the development server:

        npm run dev
      
    5. Open http://localhost:3000 in your browser

    Features

    Current Features

    • Create and manage AI customer service agents
    • Real-time voice communication with AI agents
    • Screen sharing during support sessions
    • Dark/light theme support
    • Customizable agent instructions and personalities
    • Session history tracking

    Upcoming Features

    • RAG + Tool Usage
    • Agent Performance Metrics
    • Agent Chat History
    • Agent Embeddings
    • Integration with Slack & Email
    • Agent collaboration capabilities
    • Custom voice options for agents
    • Chat transcript export

    Contributing

    We wel

    Tags

    agentsaicustomer-supportorchestrationswarm

    Comments

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