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AI Chatbot

#AI

Build an AI chatbot and chat app with a modern chatbot template, threaded conversations, starter prompts, and local responses that need no API.

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AI Chatbot template interface showing deterministic local message and response workflow
Tech Stack
reflexpython
Key Features
Deterministic local message and response workflow
Thread creation, search, selection, renaming, and deletion
Starter prompts and keyboard-aware multiline composer
Speaker-labeled chronological conversation stream
Icon-only response copying with accessible confirmation
Responsive thread navigation and sticky composer
Requirements
A conversational assistant that works without API credentials
Threaded message history and conversation management
Keyboard-friendly multiline message composition
Clear response progress, retry, and copy feedback

About This Template

AI Chatbot is a Reflex template for creating a modern conversational assistant or building a chat app around another use case. The AI chatbot template opens with realistic conversation history and supports the complete chat workflow from the first screen. Users can select or create a thread, compose a multiline message, send it, view a brief typing state, receive a relevant local response, and copy the reply. Conversation search and responsive navigation make the chat app easy to explore, while renaming and confirmed deletion keep thread management predictable. Starter prompts help begin a conversation, and retry behavior makes loading, error, and success states easy to inspect. Deterministic local responses let the chatbot template work without credentials or an external model API. Used as a chat box maker, it gives you the composer, typing state, and message stream without wiring them together yourself; used as a messaging app creator starting point, the same threaded structure extends to an AI assistant or a customer support widget. Teams that want to make a chat app can adapt the response rules, prompts, participants, storage boundary, and visual presentation. A model provider and persistent database can be connected later when the AI chatbot needs live generation, authenticated users, or durable conversation history.

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