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How To Build End-To-End AI Voice Agentic App Using AI/ML API and OpenAI Realtime API
- A participant in a LocalDown hackathon built Wei, an AI agent for habit-building, and won 3rd place.
- Wei is an AI agent that makes habit-building effortless through natural dialogue and offers rewarding experiences.
- The tutorial covers building Wei from scratch using the official OpenAI Agents Python SDK and AI Agents SDK.
- Wei is powered by tools like shadcn/ui for Next.js, motion-primitives, and prompt-kit.
- Approximately 6 to 7 AI Agents handle different aspects of the app, transferring control to each other as needed.
- Agents like Greeter, General, Rewards, Points, Habits, and Info Agents manage various functionalities in Wei.
- Functions such as getting user data, managing habits, calculating points, and providing rewards are handled by specific agents.
- The API logic for Wei involves handling requests, managing database functions, and using cached user data for efficient processing.
- UI components like ChatInterface, ChatInput, and associated contexts are crucial for enabling interactions with the AI agent.
- The tutorial delves into building the app's UI/UX, running the app locally, and deploying it using Vercel.
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