Transform your chatbot into a service with FastAPI! Step-by-step, you'll create and test components, then integrate them into a seamless FastAPI app. Blend AI with web development for a dynamic user experience.
Overview
Syllabus
- Unit 1: Developing a Robust System Prompt
- Creating a System Prompt Loader for a Chatbot
- Testing Error Handling for System Prompt Loading
- Updating Contextual Information
- Guiding Chatbot Interactions
- Adding Constraints to Chatbot Responses
- Enhancing Chatbot Requirements
- Unit 2: Implementing a Chat Manager for Efficient Data Handling
- Implementing ChatManager Methods for Chat Session Management
- Implementing the Get Conversation Method
- Enhancing ChatManager with Message Storage
- Managing and Retrieving Chat Conversations
- Unit 3: Handling AI Interactions with the Chat Service Layer
- Implementing Chat Session Creation in ChatService
- Implementing Message Processing in Chat Service
- Enhancing AI Response Generation in Chat Service
- Enhancing AI Context Retention in Multi-Turn Conversations
- Managing Multiple Chat Sessions for a User
- Unit 4: Streamlining User Interaction with Chat Controller
- Ensuring Unique User Sessions
- Creating a New Chat Session with ChatController
- Implementing the Send Message Method in ChatController
- Unit 5: Building a RESTful API for Your Chatbot Service Using FastAPI
- Creating a Simple RESTful API with FastAPI
- Integrating Session Management in a RESTful API with FastAPI
- Create a Chat Route with FastAPI
- Define a Message Route with FastAPI