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 interactive developer playgrounds that let users explore your AI agent API with live request builders, code generation, response visualization, and shareable configurations.
Build a complete research agent that searches the web, evaluates sources, synthesizes findings, and generates structured reports using Claude and the Anthropic SDK.
Build an AI agent that reacts to CRM webhook events to score leads, automate follow-ups, and trigger notifications when deals progress through your sales pipeline.
Learn how to apply Site Reliability Engineering principles to AI agent systems, including defining SLIs and SLOs, managing error budgets, reducing operational toil, and running effective incident management for autonomous agent workloads.
Build an AI agent that provides real-time public transit information including route planning, live delay updates, accessibility features, and multimodal trip suggestions for city residents.
Master FastAPI's Depends system to inject LLM clients, database sessions, and agent configurations into your AI agent endpoints. Covers scoped dependencies, sub-dependencies, and testing with overrides.
Learn when and how to use batch processing to cut AI agent costs by up to 50%. Covers batch API usage, queue-based architectures, priority tiers, and SLA tradeoffs for non-time-critical agent workloads.
Build comprehensive multilingual test suites that validate AI agent quality across languages with automated quality checks, native speaker reviews, and regression detection.
