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Learn to build production-ready AI agents that can withstand real-world distributed system challenges using OpenAI's Agents SDK integrated with Temporal's durable execution framework. Explore the OpenAI Agents SDK's paradigm of orchestrated micro-agents with handoffs, understanding how to define agents through instructions, model specifications, and tool integrations including MCP. Discover how Temporal's open-source MIT-licensed framework addresses critical production issues including network failures, LLM rate limiting, and long-running processes that span hours to months. Master the integration between OpenAI and Temporal that handles the complexity of building resilient agents, with insights into how OpenAI uses Temporal for their own products like image generation and Codex. Gain foundational concepts applicable to various agent frameworks beyond the OpenAI SDK, preparing you to build robust AI agents capable of operating reliably in production environments.
