OpenAI Developer Community post introduces Open Responses: A set of open-source specifications and ecosystems inspired by the OpenAI Responses API, with the goal of providing a unified interface for interoperable large language models from multiple providers, reducing the cost of repeated "docking translations" between different model platforms, and supporting common capabilities such as streaming output and tool calls.
According to the public statement, the specification is centered on "multi-provider defaults" and attempts to reuse the same set of input and output structures in environments such as OpenAI, Anthropic, Google Gemini, and local models. At the same time, it provides consistent streaming events, tool calls, and message orchestration, making it easy to build agent-based workflows. The official site also showcases ecological logos supported by community members such as OpenRouter, Vercel, Hugging Face, LM Studio, Ollama, vLLM, and OpenAI.
Currently, Open Responses is available on the official website and GitHub open specifications and related resources. As it is still in the early stages of rollout, its cross-platform compatibility boundaries, consistency across vendors, and long-term adoption still need to be verified by more public cases and test results.
FAQs
Q: What is the relationship between Open Responses and OpenAI?
A: Open Responses uses the OpenAI Responses API as a reference and inspiration to propose unified interface specifications and supporting tool ideas for multiple providers.
Q: Which model providers does Open Responses primarily target?
A: The public introduction mentions calling scenarios that can cover various sources such as OpenAI, Anthropic, Gemini, and local models.
Q: What development pain points does Open Responses solve?
A: The specification hopes to unify "common primitives" such as messages, streaming events, and tool calls to reduce interface differences and migration costs between different platforms.
Q: Is Open Responses the same as OpenAI's official API?
A: Open Responses is an open source specification and ecological direction, not an official single product of OpenAI, and the specific capabilities depend on the implementation and adaptation of all parties.
