Why we built the Responses API
Blog post from OpenAI
With the release of GPT-5, OpenAI introduces the /v1/responses API, designed to enhance integration with reasoning models and prepare for an agentic future. Unlike its predecessor, Chat Completions, which focused on turn-based conversational interfaces, Responses offers a structured loop for reasoning and action, preserving the model's thought process across interactions. This approach allows for more efficient cache utilization and lower latency, while also providing detailed outputs, including tool calls and intermediate steps, which are useful for auditing and debugging. The API supports multimodal functionalities and integrates advanced hosted tools like code interpreter and image generation, offering a comprehensive solution for developers aiming to create stateful, agentic workflows. By maintaining reasoning internally and securely, the API minimizes risks associated with exposing raw thought processes, ensuring safer and more reliable interactions. As OpenAI anticipates Responses to become the standard for building with their models, it provides a flexible, powerful, and efficient platform for future developments.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 3 | 3,632 | 330 | 137 | -26% |
| RAG | 2 | 1,152 | 244 | 99 | -9% |
| Real-time | 1 | 4,881 | 1,155 | 268 | -10% |
| Reinforcement learning | 1 | 123 | 35 | 25 | +18% |
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