🤖 AI / LLMOps
OpenAI Responses API Agent Architecture Playbook
A practical guide to designing agent systems around the OpenAI Responses API, built-in tools, conversation state, and operational guardrails.
AI DevOps Korea
Aidevops.kr covers LLMOps, RAG, agents, observability, evaluation, and cost-performance optimization for production AI services.
Tag Archive
This tag currently appears in 2 posts. Following adjacent tags and category signals usually makes the topic easier to understand from multiple angles.
Expand The Topic
A practical guide to designing agent systems around the OpenAI Responses API, built-in tools, conversation state, and operational guardrails.
The key 2026 shift in agent platforms is no longer model quality alone. It is how teams standardize tool access, approval boundaries, and observability around MCP.