Open Responses: What you need to know
AI Summary
Open Responses is a new open inference standard designed to replace traditional chat completion formats for agentic workflows. Initiated by OpenAI and built with the open source AI community and Hugging Face, it builds upon the Responses API to support text, images, structured outputs, video tasks, and autonomous agent loops. The standard introduces stateless execution, semantic event streaming, support for internal and external tools, and explicit reasoning visibility fields.
Key Takeaways
- Open Responses formalizes three optional fields for reasoning: raw content, encrypted content, and summaries.
- The standard natively supports internal tools (managed within the provider's infrastructure) and external tools (such as client-side functions or MCP servers).
- Streaming is modeled as a series of semantic events rather than raw text or object deltas.
Why it matters
As AI workloads shift from turn-based chat conversations to autonomous agents, the legacy Chat Completion format creates architectural bottlenecks. Open Responses provides a unified, open standard for inference providers, routers, and clients, enabling standardized tool invocation, provider-agnostic orchestration, and clearer observability over multi-step agentic loops.
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