Production‑Grade Agents with OpenAI Agents SDK
Explore how to build reasoning and planning-powered AI agents using LangGraph, with tools for reflection, evaluation, and observability.
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Best-practice reasoning models – advanced strategies like chain-of-thought and reflective workflows.
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Agentic planning & reflection – architecture patterns that level up agent autonomy.
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LangGraph build – hands-on code example of a deep-research agent.
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Evaluation & observability – integrate LangSmith and other tools to introspect agent behavior and optimize performance.
Key Resources:
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OpenAI Agents SDK tracing examples with LangSmith https://cookbook.openai.com/examples/agents_sdk/multi-agent-portfolio-collaboration/multi_agent_portfolio_collaboration?utm_source=chatgpt.com
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Community notebook: Evaluating Agents with Langfuse https://cookbook.openai.com/examples/agents_sdk/evaluate_agents?utm_source=chatgpt.com
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OpenAI cookbook: Multi-Agent Portfolio Collaboration https://cookbook.openai.com/examples/agents_sdk/multi-agent-portfolio-collaboration/multi_agent_portfolio_collaboration?utm_source=chatgpt.com
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