Building an AI Chatbot with OpenAI API

# Building an AI Chatbot with OpenAI API AI chatbots have become essential tools. Here's how to build a production-ready chatbot using OpenAI's GPT models. ## Getting Started ### Setup ```bash pip install openai ``` ### Basic Completion Use the OpenAI client to create chat completions with messages and model selection. ## Conversation Management ### Context Window GPT models have limited context. Implement: - Message truncation - Summarization - Sliding window ### System Prompts Set behavior with system messages defining the chatbot's personality and capabilities. ## Streaming Responses For better UX, stream responses token by token using the stream parameter. ## Advanced Features ### Function Calling Allow the model to call your functions for real-world actions. ### RAG (Retrieval-Augmented Generation) Combine with vector databases for knowledge retrieval. ### Memory Implement long-term memory with database storage. ## Production Considerations ### Rate Limiting Implement rate limiting to control costs. ### Error Handling Handle API errors gracefully with retries. ### Moderation Use OpenAI's moderation endpoint for content filtering. ### Logging Log conversations for debugging and improvement. ## Conclusion Building chatbots is accessible with modern APIs. Start simple and add features based on user needs.