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Interacting with Injective in Natural Language: An AI-powered on-chain Trading Experience

In this course, you'll learn how to build an AI Agent application powered by the Injective blockchain. You'll explore how to interact with the Injective network using natural language commands by integrating the OpenAI API with the Injective SDK. By the end of the course, you will have built a smart agent capable of handling tasks like chat-based interaction, checking wallet balances, and performing token transfers. Along the way, you'll gain hands-on experience with essential components such as project architecture design, configuration management, and client-side command execution. Ultimately, you’ll create an AI-driven on-chain interaction experience that bridges user-friendly dialogue with blockchain functionality.

Interacting with Injective in Natural Language: An AI-powered on-chain Trading Experience

Language

Python

Total Length

1.7h

Part of Learning Track

Build on Injective + 1

What You’ll Learn

AI-driven Blockchain Interaction:Learn how to build an AI Agent that combines natural language processing with blockchain operations

Wallet Balance Query Implementation:Step-by-step breakdown of how user input is processed into a blockchain query

JSON Schema & Function Calling:Design LLM-friendly function formats using JSON Schema

Blockchain Interaction Architecture:Learn efficient patterns for communicating with the Injective network

Testing & Debugging:Understand multi-layered testing strategies and how to troubleshoot common blockchain development issues

Working with the OpenAI API and function calling system
Using core components of the Injective SDK

Syllabus