🏛️ Delphi

Delphi is a versatile and adaptable conversational agent framework that streamlines chatbots and AI-driven agent systems. Its design prioritizes abstraction and provider-independence, allowing for seamless integration with various message providers. Delphi is compatible with a range of environments, including browsers, Node.js, and Deno, making it an ideal choice for diverse application scenarios.

Note: Delphi is currently in development. While usable, the API is subject to change. If you encounter a bug, please open an issue and help us improve the framework!

🚀 Features

• 🤖 Provider-Independent: Delphi abstracts the messaging function, allowing seamless integration with various providers like OpenAI and Azure OpenAI.
• 📞 Function Calling: The agent can call functions to perform tasks such as querying a database or making an API call, and incorporate the results into the conversation.
• 🔄 Flexible Conversational Flow: Manages complex conversation patterns with ease, facilitating intelligent and context-aware interactions.
• 🛠️ Customizable Agent Options: Tailor your agent with configurable settings such as maximum rounds and specific model preferences.
• 🌍 Cross-Platform Compatibility: Works effortlessly in browsers, Node.js, and Deno environments.
• 📝 Schema Validation: Ensures the integrity and correctness of data with JSON schema validation.
• 🎛️ Modular Design: Facilitates easy integration and scalability through a clear and modular code structure.

📌 Requirements

• Node.js (v18 or newer), a modern browser, or Deno
• TypeScript
• An account with a supported message provider (e.g., Azure, OpenAI)

🛠️ Installation

Delphi is available on npm and can be easily installed:

npm install @wecandobetter/delphi

🚀 Getting Started

To quickly get started with Delphi:

1. Import Delphi: Import the necessary components from Delphi in your project.

   import { Agent, Context } from "@wecandobetter/delphi";

2. Create an Agent: Instantiate an Agent with your desired configuration.

   const agent = new Agent("myAgent" /* ... configuration ... */);

3. Initialize Context: Set up a Context to manage the conversation state.

   const context = new Context();
   
   context.addMessage({
     role: "system",
     content: "You are a helpful assistant!",
   });
   
   context.addMessage({
     role: "user",
     content: "Hello, I need help.",
   });

4. Run the Agent: Start the agent with the initialized context.

   for (const { message } of agent.run(context)) {
     console.log(message.content); // "Sure, how can I help?"
   }

This example gives you a basic setup for initiating a conversation with Delphi. For more detailed usage and advanced features, refer to the documentation.

📖 Documentation

• Agent Functions
• Function Calling
• Example: Wikipedia
• API Reference

Visit the documentation for information on API usage and advanced features.

🤝 Contributing

Contributions are welcome! Create an issue, open a pull request, or reach out to us in the discussions section.

📜 License

Delphi is released under the MIT License. See the LICENSE file for more details.

✉️ Contact

Reach out to us at contact@wcdb.life for support or inquiries.

Happy conversing! 🎉