Agent Chat Input
Give text requests, attachments, and conversation actions a composed entry point.
Premium composable chat variants, from a full agent workspace to compact prompt bars, with shared input, toolbar, attachment, and action parts.
6 catalog entries · 11 examples
React AI Chat UI Blocks and Conversation Interfaces
An AI interface has more states than a message list. People need to compose a request, provide context, inspect an answer, and understand what the system used. This collection brings those parts together as installable React blocks.
Use a chat input as the entry point, then add the surfaces your workflow needs: research citations for grounded answers, artifacts for generated work, or a voice conversation for spoken interaction. Connect the UI to your own model and backend.
Choose a layout
Start with the request
Choose an input around the context people provide. Keep attachment, send, and model actions understandable before adding secondary controls.
Make the output inspectable
Show research sources beside sourced answers and use artifact surfaces for generated documents or files. Keep the relationship between the conversation and its output visible.
Explain limits in context
Place usage and budget information near the action it affects. Voice controls also need clear inactive, listening, and completion states connected to your application logic.
Explore the examples
Open a catalog entry to try its live previews and inspect installation options.
Voice Conversation
Add a dedicated conversation surface when speaking is part of the product workflow.
A compact voice conversation card with an audio-reactive waveform, transcript, and session controls.
AI Artifacts
Present generated work as an inspectable output alongside the conversation.
Composable artifact containers with headers, actions, content, and footers for generated documents, code, and custom outputs.
Research Sources
Expose the sources behind a researched answer so people can inspect its context.
A searchable reference library with source filters, readable excerpts, and context selection.
Questionnaire
Collect structured answers when the next step needs more than a free-form prompt.
Composable, animated question-and-answer cards that help agents collect context and continue with clear instructions.
Usage Budget
Make usage and spending limits visible within the assistant experience.
A segmented usage meter with resource costs, animated totals, and an adjustable monthly budget.
Before you build
Do these blocks include an AI model or backend?
These are frontend UI blocks. You connect the inputs, output states, files, and usage data to your own AI provider and application backend.
Can I use the chat UI in an existing Next.js app?
Yes. The blocks ship as editable React and TypeScript source. Install the required dependencies and connect their interactions to the state and routes in your application.
Where can I see complete AI workspace templates?
The Pair AI Workspace template provides a standalone workspace starting point. AI Agent Landing and AI Workspace are separate product website templates; their catalog pages explain their scope and preview links.
Compare current plans and source access before choosing blocks or a standalone template.
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