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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Master MCPServerStdio for connecting agents to local tool servers via standard I/O, including subprocess management, npx-based servers, filesystem operations, and automatic lifecycle handling.
Hands-on tutorial: build a multi-agent system in Python with agent base classes, message passing, tool integration, and handoffs. Complete code examples.
Complete developer guide to Anthropic's Claude Agent SDK — installation, agent creation, tools, multi-agent patterns, error handling, and production deployment.
Step-by-step guide to setting up your agentic AI dev environment — VS Code extensions, Docker Compose for LLM services, GPU passthrough, and debugging config.
Beginner-friendly walkthrough of building a complete agentic AI app — from project setup and agent creation to testing and deployment. Progressive complexity.
Build type-safe agentic AI with TypeScript — typed tool definitions, Zod schemas for structured output, type-safe handoffs, and generic agent classes.
Production patterns for agentic AI backends with FastAPI — WebSocket streaming, background agent tasks, dependency injection, and Pydantic models for agents.
Learn how to build a hybrid regex and LLM-based PII detection and redaction system for AI agent pipelines, with output sanitization, reversible tokenization, and GDPR compliance patterns.
