Unverified50% confidenceFactExact time
早期的 Chat Completions API 以对话轮次为核心抽象，Response API 的设计哲学更接近函数调用，输出可被程序直接消费的结构化数据
1
Sources
50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
UnverifiedThe Responses API adds native support for multi-step reasoning and tool orchestration on top of Chat Completions79% similarUnverifiedThe Chat Completions API is based on a message list (messages) interaction pattern, where each request requires passing the complete conversation history79% similarUnverifiedThe design philosophy of the Response API more closely resembles a function call, where the input is a structured task description and the output is structured data that can be directly consumed by a program.79% similarUnverifiedChat Completion API的上下文并非由系统自动保存，模型本身是无状态的，需要开发者通过messages消息列表手动传入历史对话记录74% similarUnverifiedBridge mode optimizes costs in certain scenarios by having ChatGPT handle conversational interaction while ShunCode manages tool calls and execution feedback on the backend, potentially reusing subscription quotas or reducing redundant API round-trips.71% similar
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