This skill empowers developers to transition from stateless Chat Completions to the stateful OpenAI Responses API, enabling the creation of advanced AI agents. It provides standardized patterns for managing persistent conversation IDs, leveraging server-side tools like Code Interpreter and File Search, and integrating with the Model Context Protocol (MCP). By preserving the model's reasoning notebook across turns, it helps users achieve better multi-turn performance, improved cache efficiency, and seamless background processing for complex, long-running tasks.
주요 기능
01Reasoning preservation across turns for 5% better multi-turn performance
0291 GitHub stars
03Stateful conversation management via persistent Conversation IDs
04Server-side tool integration for Code Interpreter, File Search, and Web Search
05Support for polymorphic outputs and background processing modes
06Simplified migration patterns from legacy Chat Completions to Responses API
사용 사례
01Building agentic AI applications that require long-term reasoning and state management
02Optimizing API costs through 40-80% better cache utilization on multi-turn interactions
03Implementing high-performance RAG workflows using server-side File Search