Building Multi-Agent Systems from Scratch with Python in 2026
Hands-on tutorial: build a multi-agent system in Python with agent base classes, message passing, tool integration, and handoffs. Complete code examples.
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Hands-on tutorial: build a multi-agent system in Python with agent base classes, message passing, tool integration, and handoffs. Complete code examples.
Build real-time agent interfaces with Runner.run_streamed(). Learn about stream events, WebSocket transport, persistent connections, and building streaming chat UIs.
Learn how to implement output guardrails in the OpenAI Agents SDK to inspect, validate, and block unsafe agent responses before they reach end users — including PII detection and compliance filtering.
Beginner-friendly walkthrough of building a complete agentic AI app — from project setup and agent creation to testing and deployment. Progressive complexity.
Secure your MCP-powered agents for production with authentication, network policies, tool approval workflows, audit logging, rate limiting, and defense-in-depth strategies.
Learn the two core multi-agent orchestration patterns in the OpenAI Agents SDK — Agents as Tools (Manager) and Handoffs (Delegation) — with code examples and a decision framework for choosing the right approach.
Combine the handoff pattern with the agents-as-tools pattern to build hybrid orchestration systems where a triage agent delegates via handoffs and specialist agents use sub-agents as tools.
Build custom session backends for the OpenAI Agents SDK by implementing the SessionABC protocol with complete DynamoDB and MongoDB examples and testing strategies.
Use SQLAlchemySession with PostgreSQL and asyncpg for production-grade persistent agent memory including connection pooling, auto table creation, and migration strategies.
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