Promptions workflows for dynamic control generation, validation, and replay in AI copilots.
apm install @microsoft/promptions---
name: promptions
description: Promptions workflows for dynamic control generation, validation, and replay in AI copilots.
license: MIT
---
## Activation Conditions
Activate when users ask about Promptions, dynamic controls, structured prompt middleware, control schema design, or replaying user selections into model prompts.
## Scope Boundaries
- Focus on control schema generation, validation, rendering patterns, and selection replay.
- Keep guidance aligned with the provided examples and docs.
- Avoid exposing API keys or secret values.
## Quick Context
- Core workflow is: prompt -> controls -> user selections -> parameterized prompt -> final response.
- Reference implementations are in `examples/` and include generation, validation, replay, and React rendering.
- Public reference applications are available in the Microsoft Promptions repository.
## Prerequisites
- Node.js 18+.
- OpenAI or Azure OpenAI credentials configured in `.env`.
- TypeScript support for integrating the example modules.
## Workflow
1. Configure credentials and validate connectivity.
2. Generate controls via `examples/generate-controls.ts`.
3. Validate schemas via `examples/validate-controls.ts` before rendering.
4. Render controls with your UI framework (`examples/render-controls.tsx` as reference).
5. Replay selections using `examples/replay-selections.ts` and request the final model output.
## Routing
- `docs/launch-procedure.md` for running, trying, or demoing the reference apps (chatbot / image generator).
- `docs/quick-start.md` for integrating Promptions into a new or existing application.
- `docs/application-patterns.md` for domain workflows and product integration ideas.
- `docs/data-integration.md` for transcript and telemetry wiring.
- `docs/REFERENCE.md` for the full control schema when implementing or extending control types.
- `docs/troubleshooting.md` and `docs/performance-guide.md` for diagnostics and optimization.
## Reference Links
- GitHub: https://github.com/microsoft/Promptions
- Research paper: https://arxiv.org/abs/2412.02357
- Microsoft Research project page: https://www.microsoft.com/en-us/research/project/tools-for-thought
- AI Foundry Labs: https://ai.azure.com/explore/foundry-labs