Reading up on Responses API
6 deep · digging since nov 19, 25
- Secure MCP Tunnel
OpenAI's Secure MCP Tunnel lets users connect private MCP servers to OpenAI products via an outbound-only tunnel, keeping servers behind firewalls.
- Prompt Caching 201
Prompt caching reduces latency by up to 80% and costs by up to 90% by reusing computed key/value tensors for repeated prompt prefixes in OpenAI's API.
- Skills in OpenAI API
OpenAI introduces Skills, a reusable bundle of instructions, scripts, and assets mounted into shell environments, enabling versioned, conditionally invoked workflows that keep system prompts lean.
- Unrolling the Codex agent loop
OpenAI explains the architecture of Codex CLI's agent loop, detailing how it orchestrates model inference, tool calls, and context management using the Responses API.
- GPT-5.1-Codex-Max Prompting Guide
OpenAI recommends migrating to the Codex-Max agentic model using the codex-cli prompt, compacted context, and specific tools for best performance on complex coding tasks.
- Build a coding agent with GPT 5.1
OpenAI demonstrates building a GPT-5.1 coding agent that scaffolds NextJS/shadcn apps using shell, web search, apply_patch, and Context7 MCP tools via the Agents SDK and Responses API.