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BlocksChat UIs
Reasoning
Reasoning
Chat that shows AI's step-by-step reasoning. Includes decision trees, logical breakdowns, and explanatory tooltips.
Use this when your chat needs to stream a model's reasoning parts next to its final answer so users can open and inspect how it got there.
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Problems solved
Technical challenges this implementation handles out of the box.
- Stream model reasoning parts alongside the final answer
- Toggle or inspect reasoning in the chat UI
- Demonstrate sendReasoning in toUIMessageStreamResponse
Use cases
Products and workflows this pattern is designed to support.
- Transparent reasoning chat experiences
- Debugging assistants that show chain-of-thought parts
- Educational demos of AI Elements Reasoning
- Support agents that expose intermediate reasoning
Compare with
Similar patterns, and when each one is the better fit.
Chat ClaudeFreeUse this when you need a Claude-style chat layout with reasoning, sources, and message branching on mock replies, before any model is connected.
Chart ArtifactUse this when users ask financial questions in chat and you need a tool call to return a live chart plus computed runway and expense insights.
AI Wizard Brand StrategyUse this when you are building a brand discovery or marketing onboarding flow where AI interviews gate progress and end in a written strategy.
Chat GrokFreeUse this when you want a front-end reference for a Grok-like assistant shell with prompt tools and suggestions for demos or design reviews.
Setup
Requirements, wiring steps, and what this pattern adds to your project.
Getting started
Pick how you want to pull this pattern in. Then wire env vars and routes the same way.
- 1
Download → Next.js app
Use Download → Next.js app in the preview toolbar. You get a zip scaffold (Pro downloads rewrite preview `/view/.../api/*` paths to `/api/*` automatically).
- 2
Extract the zip and install dependencies
Unzip the archive, then run `pnpm install` (or npm / yarn) in the project folder.
- 3
Customize the agent and tool files
Adapt prompts, tools, and stop conditions in the generated project for your product.
- 4
Run the app and open the pattern route
Run `pnpm dev`, open the setup/checklist page if present, then navigate to the generated pattern route and verify responses.
Capabilities
AI SDK APIs
streamTextconvertToModelMessagesProviders
deepseek
Files added
6 files
app/page.tsxapp/layout.tsxcomponents/reasoning-chat-form.tsxapp/api/chat/route.tslib/request-utils.tsREADME.md
Dependencies
7 total
npm packages
4AISDKlucide-reactNext.jsReact
Registry components
alertemptytooltip
Critical files
1 file
chat/route.tsAPI route showing deepseek/deepseek-r1 reasoning model integration with toggleable reasoning output. Uses smoothStream with word chunking and sendReasoning controlled by client-side flag.
Requirements
- Complexity
- Beginner
- Setup time
- ~15 minutes
- Node
- 24+
- Memory
- 512MB
Redis for rate limiting
