Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Learn how to build production-grade chat agents using the OpenAI Agents SDK with tool integration, session management, streaming responses, and FastAPI backend architecture.
Build a streaming chat UI for OpenAI Agents SDK chat agents using run_streamed(), FastAPI SSE endpoints, and a React frontend with real-time token rendering.
Build a data analysis chat agent using the OpenAI Agents SDK CodeInterpreterTool that executes Python code, generates visualizations, processes uploaded files, and returns structured results.
Master multi-turn chat agent context management using to_input_list(), session-based state, context compaction strategies, and persistent chat storage for production deployments.
Build a production lead qualification chat agent using OpenAI's Agents SDK with BANT scoring, structured outputs, CRM integration tools, and intelligent conversation routing.
Build a comprehensive analytics pipeline for chat agents using OpenAI's tracing system to extract intent, sentiment, topics, and performance metrics from every conversation.
Build a real-time chat agent using WebSocket connections with FastAPI, OpenAI's streaming responses, persistent conversation state, and response chaining via previous_response_id.
Build a knowledge base chat agent using OpenAI's vector stores API for document upload, chunking, semantic search, citation-grounded answers, and automatic knowledge base maintenance.
