Using window.openai.toolOutput for data hydration
Hydrate the widget directly via `window.openai.toolOutput` after initial tool response.
window.openai.toolOutput
Inside a ChatGPT app's widget code, typically after an initial tool call.
Allows for aggressive front-loading of data, leading to a faster and more responsive user experience by providing necessary information upfront.
Utilize `window.openai.toolOutput` to hydrate your ChatGPT app's widget directly following an initial tool response. This technique supports aggressive data front-loading for improved responsiveness.
- 15 lessons learned building ChatGPT Apps ↗OpenAI Developers Blog · OpenAI Developers Blog · Sep 3, 2026 · quoted as shared
First seen on Subvolts Sep 3, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
- 15 lessons learned building ChatGPT AppsOpenAI · OpenAI Developers Blog · Sep 3, 2026
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- HeuristicDefine task completion clearly to avoid premature stoppingExplicitly define what 'done' means for a task to ensure AI models complete the full scope. · 10 min
- Anti-patternBuilding agent infrastructure from scratchAvoid piecing together agent infrastructure; use standardized SDKs and native sandbox support. · 5 min
- Setting tipAgent workspace portability with Manifest abstractionUse the Manifest abstraction to describe agent workspaces for portability across different providers. · 10 min
- ToolOpenAI Agents SDK for building agentsSDK for building agents that can inspect files, run commands, edit code, and work on long-horizon tasks. · 15 min
- Anti-patternOverly specific instructions for advanced AI modelsAvoid detailed itineraries; newer models handle nuance and ambiguity better. · 10 min
- Anti-patternPrompting AI to read all project docs before every editAvoid forcing AI to read extensive documentation before simple edits; use contextual pointers instead. · 10 min
Questions people ask
- Which AI tools does this work with?
- The sources used it with ChatGPT.
- Where did this come from?
- OpenAI Developers Blog (OpenAI Developers Blog). Subvolts collected, normalized and credited it; the link above opens the original.

