Support progressive text reveal (streaming animation) outside the Chatbot extension
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 42/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- typescript
- Domain
- frontend
Research direction
The issue identifies the Chatbot extension's Message component as the existing streaming-related entry point, but names no implementation file or test. Start by inspecting that component and nearby UI patterns, then define how a reusable component should expose progressive reveal outside chat contexts. Done means non-chat interfaces can use a standard token- or word-by-word streaming animation without application-specific animation logic.
Written by the indexing model from the issue text.
Description
Summary
The Chatbot extension's Message component supports rendering streamed content, but the actual progressive text reveal (token-by-token or word-by-word animation) has no standard component — streaming must be implemented entirely at the application level.
Non-chat UIs (dashboards, operations panels, side panels) that display AI reasoning in real time have no PatternFly component for streaming text animation. A standard streaming text component — usable both inside and outside chat contexts — would let product teams show AI reasoning as it generates without building custom animation logic.
Use case
Chain of Thought patterns in non-chat agentic UIs (e.g., a progress panel streaming diagnostic reasoning during a root cause analysis).
Context
This gap was identified during review of the Chain of Thought AI UX standard (Red Hat UXD, AUX-140).
Jira Issue: PF-4690
- Dominant language
- TypeScript
- Stars
- 6
- Forks
- 38
- Avg merge
- 4d 9h
- Merged PRs (30d)
- 7
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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