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 implement tool input and output guardrails in the OpenAI Agents SDK to validate function arguments, skip dangerous calls, and replace tool outputs before they reach the agent.
Master conversation branching, undo operations with pop_item, history pruning strategies, and session input callbacks for advanced history customization in the OpenAI Agents SDK.
Use the OpenAI Conversations API with conversations.create, previous_response_id chaining, and auto_previous_response_id for server-side history management in AI agents.
Learn production-grade content moderation patterns for AI agents including moderation agent guardrails, rate limiting, abuse prevention, and red-teaming strategies using the OpenAI Agents SDK.
Use SQLAlchemySession with PostgreSQL and asyncpg for production-grade persistent agent memory including connection pooling, auto table creation, and migration strategies.
Learn how to systematically test and red-team your AI agent guardrails with adversarial prompt injection detection, guardrail bypass attempts, automated test suites, and continuous evaluation pipelines.
End-to-end tutorial for building a production-ready stateful customer service agent with database integration, order history, multi-turn issue resolution, and persistent sessions.
Understand the core architecture of voice AI agents — STT to Agent to TTS pipelines, the VoicePipeline SDK approach vs the Realtime API WebRTC approach, and when to use each for production voice applications.
