Chat Completions API

The new OpenAI Agents Platform: CUA, Web Search, Responses API, Agents SDK!!

Mar 11, 2025 · 25:39

OpenAI's Nikunj Handa and Romain Huet join host Swyx to announce their new Agents Platform, including the Responses API, Web Search, File Search, Computer Use tools, and an upgraded Agents SDK. The Responses API unifies Chat Completions and the Assistants API, offering free state storage for 30 days and acting as a strict superset for future agentic workflows; Chat Completions remains supported, but the Assistants API will sunset in first half 2026. Web Search is available both as a built-in tool in Responses and as a fine-tuned GPT-4o Search Preview model in Chat Completions, achieving 90% accuracy on simple QA compared to 30% for GPT-4o. The File Search tool gains metadata filtering, while Computer Use—powering OpenAI's Operator—enables browser automation via screenshots and action signals, described as the "GPT-2 of computer use." The Agents SDK builds on the Swarm experiment, adding type support, guardrails, handoffs, and tracing in the OpenAI dashboard, with plans to tie traces to evals and reinforcement fine-tuning.

Building AGI with OpenAI's Structured Outputs API

Sep 17, 2024 · 1:12:23

Michelle, OpenAI's API tech lead, explains how the newly launched Structured Outputs feature achieves near-100% reliability for schema-following outputs by combining constrained decoding with model training, moving beyond the limitations of JSON mode and Function Calling. She details the refusal field that allows the model to decline harmful requests while maintaining parseable output, and discusses use cases like dynamic UI generation and mathematical chain-of-thought. The roadmap includes parallel function calling and custom grammars. The episode also covers the GA of GPT-4o fine-tuning, Batch API's 50% cost savings, Vision API integration with structured outputs, the Whisper API's surprising lack of diarization, and the shift toward speech-to-speech APIs. Michelle shares insights from her Waterloo co-op background and what qualities succeed at OpenAI: low ego, user-focused, and driven.