🚀 SupportIQ

Enterprise AI Customer Support Platform

Build intelligent customer support agents with OpenAI AgentKit, multi-step workflows, tool calling, and enterprise-grade automation.

Open Source • Agentic AI • Enterprise Ready • Tool Calling • Conversation Memory

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SupportIQ is a production-ready AI customer support platform that automates customer interactions through intelligent workflows, contextual memory, and real-time tool integration.

Designed for modern customer support teams, it enables AI agents to resolve common customer issues including order tracking, refund requests, inventory lookups, and account assistance while maintaining conversation context and generating actionable analytics.

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✨ Features

🤖 AI Customer Support Agents

Deliver intelligent, context-aware conversations capable of handling real customer support requests.

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🔧 Tool Calling

Integrate with external business systems including:

• Order Management
• Refund Processing
• Inventory Lookup
• Customer Records
• Internal APIs

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🧠 Stateful Conversations

Maintain conversation history across multiple interactions for a more natural customer experience.

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📊 Performance Analytics

Monitor:

• Customer satisfaction
• Agent performance
• Resolution rate
• Sentiment analysis
• Conversation quality

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⚡ Production Ready

• Error handling
• Retry mechanisms
• Fallback responses
• Structured logging
• Modular architecture

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🎯 Use Cases

• E-commerce Support
• Order Tracking
• Refund & Returns
• Product Availability
• Customer Account Assistance
• FAQ Automation
• AI Help Desk
• Enterprise Support Automation

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🏗 Architecture

Customer
    │
    ▼
AI Support Agent
    │
    ▼
Conversation Memory
    │
    ▼
OpenAI AgentKit
    │
    ├── Order Service
    ├── Refund Service
    ├── Inventory Service
    ├── Customer Database
    └── Analytics Engine

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🚀 Quick Start

Clone Repository

git clone <repository-url>

cd supportiq

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Create Virtual Environment

python -m venv venv

Windows

venv\Scripts\activate

Linux / macOS

source venv/bin/activate

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Install Dependencies

pip install -r requirements.txt

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Configure Environment

Copy

.env.example

to

.env

Then add

OPENAI_API_KEY=your-api-key

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Basic Usage

from customer_service_agent import CustomerServiceAgent

agent = CustomerServiceAgent(model="gpt-4o")

response = agent.chat(
    "Track my order ORD-12345",
    customer_id="CUST-001"
)

print(response)

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Project Structure

supportiq/

src/

tests/

examples/

docs/

scripts/

notebooks/

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Development

Run tests

pytest tests/

Format code

black src tests

Type checking

mypy src

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Monitoring & Evaluation

SupportIQ includes built-in reporting capabilities.

• Conversation summaries
• Resolution analytics
• Customer sentiment
• Performance metrics
• Support quality evaluation

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Technology Stack

• Python
• OpenAI AgentKit
• GPT-4o
• Tool Calling
• Agentic Workflows
• Conversation Memory
• Enterprise APIs

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Roadmap

• Voice Support
• Multi-Agent Collaboration
• CRM Integrations
• Slack Integration
• Zendesk Support
• Freshdesk Support
• Human Escalation
• Knowledge Base Retrieval
• Multi-language Support
• Dashboard Analytics

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Contributing

Contributions are welcome.

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Submit a Pull Request

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License

Released under the MIT License.