Question

Building an Intelligent Contract Assistant with OpenAI Agents SDK

In this article, we explore how we leveraged the OpenAI Agents SDK to create a sophisticated contract management system that combines multiple AI agents working in harmony. Let's dive into the key architectural decisions and technical implementations that make this system powerful and efficient.

️ Multi-Agent Architecture

At the heart of our system lies a multi-agent collaboration pattern, orchestrated by a supervisor agent that intelligently routes requests to specialized sub-agents. This architecture enables us to handle complex contract-related tasks with precision and efficiency.

The Supervisor Agent

The supervisor agent serves as the frontline interface, managing the conversation flow and making intelligent routing decisions. It's equipped with:

• Advanced intent classification capabilities
• Knowledge of contract templates and guidelines
• Ability to handle general queries directly
• Smart routing to specialized sub-agents using the handoff mechanism

Specialized Sub-Agents

1. Contract Drafting Agent

This agent demonstrates the power of combining LLMs with structured workflows:

• ️ Uses function tools to implement a three-step process:
  1. Contract type determination
  2. Dynamic question generation based on contract type
  3. Contract generation using GPT-4
• Supports three contract types:
  • Purchase Agreements
  • Franchise Agreements
  • Time and Materials Contracts
• Leverages template files for consistent structure

2. Existing Contract Agent

Handles all aspects of contract management:

• Contract status retrieval
• Detailed contract information
• ❓ Query resolution for existing agreements

3. General Contract Assistant

Provides expert guidance on:

• Contract type selection
• ❓ General contract-related queries
• Best practices and guidelines

⚙️ Technical Implementation Highlights

1. Handoff Mechanism

We implemented the Agent Pattern of Routing using the handoff_description feature, enabling seamless transitions between agents while maintaining context.

2. ️ Function Tools Integration

The system extensively uses function tools to:

• Determine contract types
• ❓ Generate relevant questions
• Draft contracts using GPT-4
• Retrieve contract details and status

3. ⚡ Streaming Outputs

Implemented real-time response streaming for:

• Smooth conversation flow
• ⚡ Immediate feedback
• Enhanced user experience

Usage

Try out with these sample prompts -

• "I need help with a purchase agreement."
• "Can you show me the status of contract #12345?"

Key Technologies

• OpenAI Agents SDK for agent management OpenAI Agents SDK
• GPT-4 for contract generation GPT-4
• ️ Function tools for structured operations Function tools
• ⚡ Streaming for real-time responses Streaming

This implementation demonstrates how modern AI technologies can be combined to create sophisticated, practical applications that solve real-world business problems.

View the implementation on GitHub

Captured below are the sample conversation screenshots -