Reasoning

Chat that shows AI's step-by-step reasoning. Includes decision trees, logical breakdowns, and explanatory tooltips.

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Problems solved

Technical challenges this implementation handles out of the box.

Products and workflows this pattern is designed to support.

Requirements, wiring steps, and what this pattern adds to your project.

Pick how you want to pull this pattern in — then wire env vars and routes the same way.

1
Install from the preview toolbar
Copy the install command above and run it in your project — Pro patterns include a short-lived token.
2
Add environment variables to .env.local
UPSTASH_REDIS_REST_URL, UPSTASH_REDIS_REST_TOKEN
3
Point client fetches at your API routes
Replace preview `/view/.../api/...` paths with `/api/...` in the installed files.
4
Customize the agent and tool files
Adapt prompts, tools, and stop conditions for your product — Copy for AI in the toolbar helps seed that work.
5
Run your dev server and open the pattern route
Install dependencies if needed, then start the app and verify responses.

AI SDK APIs

streamTextconvertToModelMessages

Providers

deepseek

6 files

7 total

npm packages

AISDKlucide-reactNext.jsReact

Registry components

alertemptytooltip

chat/route.ts
API route showing deepseek/deepseek-r1 reasoning model integration with toggleable reasoning output. Uses smoothStream with word chunking and sendReasoning controlled by client-side flag.

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