AI template
AI Chatbot template
An AI-powered chatbot application with conversation history, multiple chat threads, and streaming responses. Includes user authentication and usage tracking.
What's included
What gets generated
The API key lives in your backend, never in the client. That sounds obvious and is the single most common security failure in AI apps built by frontend-only generators — a key shipped inside an app can be extracted from it in minutes, and it is your bill. Streaming goes through your server too, so you can meter and rate-limit before the request reaches the provider.
The data model
- conversations with a title generated from the first message
- messages with role, content and token counts, so cost per conversation is answerable
- attachments — files and images tied to the message that referenced them
- api_usage — per-user token spend, which is what you need before you can charge for it
- system_prompts, versioned, so changing the assistant's behaviour does not lose the old one
The screens
- Chat with streaming responses and stop generation
- Conversation sidebar with search and rename
- File and image upload into the conversation
- Usage view: tokens and cost by day and by conversation
- Model and system-prompt settings
All of it is generated as source code — React or React Native, Python and SQL — in a repository, with migrations, so the schema above is a starting point you can change rather than a fixed structure you have to work around.
How to use this template
Start from this prompt
The AI Chatbot prompt below is the starting point — edit it first if any of "What to change first" applies to you.
Generate the whole stack
Appifex writes the React and FastAPI pieces together with the database and the deploy, not just the interface.
Ship it
Your app is deployed and running, and the repository is in your GitHub account.
What to change first
The model and the system prompt. It defaults to OpenAI, and swapping providers is a backend change in one place because the key never reaches the client. Decide early whether you want conversation memory beyond the thread, because that is a schema question rather than a prompt one.
What this template does not include
No retrieval over your own documents — there is no vector store and no embedding pipeline, so a chatbot that answers from your data needs that asked for explicitly. No usage limits per user, which is the thing that makes an AI app expensive before it makes it popular.
Ask for any of it in the same prompt — the template is a starting point, not a fixed product.
Sample prompt
"Build an AI chatbot app with OpenAI integration, streaming responses, conversation history, multiple chat threads, and user authentication"
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About the AI Chatbot template
What does the AI Chatbot template include?
An AI-powered chatbot application with conversation history, multiple chat threads, and streaming responses. Includes user authentication and usage tracking. It is generated as a complete project rather than a starting skeleton: openai integration, streaming responses, chat history, multiple threads, and more. The stack is React, FastAPI, PostgreSQL and OpenAI, and the whole thing lands in a GitHub repository you own.
Can I change the AI Chatbot template after generating it?
Yes, in two ways. You can describe the change in plain language and Appifex regenerates the relevant code, or you can open the repository and edit it directly — it is ordinary React, FastAPI, PostgreSQL and OpenAI with no proprietary runtime or shim to work around. Most people start with the template and diverge from it immediately.
Can the AI Chatbot template become a mobile app?
Yes. Appifex can generate a native iOS and Android app against the same backend and database, so the web app and the mobile app share one data model rather than being two separate products to keep in sync.