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GPT Live Native Mobile

Published August 2026
   •    Updated this month

Plugin details

➡️➡️➡️ AI Chat Pro for Bubble Mobile — a finished AI chat for your native app 💬📱
Drop it on a screen, paste an API key, and you have a working assistant. Answers stream in word by word, Markdown renders as it arrives, and the whole thing is built from React Native's own components.

Every colour, label and behaviour can be customize. No custom code, no third-party libraries, nothing else to install.

Built with native components — View, Text, ScrollView, TextInput
Streams word by word — the answer appears as it is written
Markdown live — bold, italics, lists, links, inline code and code blocks
Follows the phone's dark mode — automatically, or force one, with 16 appearance fields
Animated typing indicator — three dots that breathe, on the native driver
Conversations that survive — save to your database, restore in one action
Agent mode — the assistant asks, your workflow answers, the reply continues
3 providers, one dropdown — OpenAI (ChatGPT / GPT-4o), Anthropic Claude, Google Gemini
Cost per answer — tokens in, tokens out, dollars spent, ready to show or log

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CHECK IT
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Live demo: https://plugins-testing-46093.bubbleapps.io/version-test/api/1.1/mobile/preview?debug_mode=true&preview_view=GPT%20live%20native%20mobile

Editor:https://bubble.io/page?id=plugins-testing-46093&test_plugin=1787957397909x535365979654586400_current&tab=Design&name=GPT+live+native+mobile&type=page&elements=bTIOu


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IT FEELS LIKE PART OF YOUR APP
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📱 It scrolls like the rest of your app, because it is the same scroll
⌨️ The input is a real TextInput — the keyboard, autocorrect and dictation all behave as your users expect
🔗 Links open in the phone's browser, the way a link should
The typing dots run on the native driver, so they stay smooth while text streams in
🔤 Text selection, accessibility and font scaling work the way the platform intends

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WHAT YOU ACTUALLY GET
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💬 A chat that is already finished
Message bubbles, an input that grows as you type, a Send button that turns into Stop while the answer arrives, suggested prompts on an empty chat, and an empty state you write yourself. The scroll follows the newest message — and steps aside when the reader scrolls up to re-read something, then picks the thread back up when they return to the bottom.

🎨 It looks like your app
Sixteen appearance fields: accent, background, text, four bubble colours, three separate borders, input background, font, font size, and two corner radii. Leave them empty and it uses a palette that already works and follows the visitor's light/dark setting on its own.

Real streaming on a phone
The answer is painted as it arrives, word by word. Only the last bubble repaints while text streams in, so a long conversation stays smooth on a mid-range phone.

🤖 Turn it into an agent with one field
Write your tools in plain text — one per line, parameters indented — and the same element becomes an agent. When it needs something, it fires an event with the tool name and arguments, your workflow does the work, you hand back the result, and the answer carries on. Check stock, look up an order, book an appointment, write to your database, call another API. It stops at a step limit you control, and it never invents a tool you did not declare.

🧠 Structured output
Ask for fields instead of prose — "title: text", "priority: number", "urgent: yes/no" — and get back a validated object in the json state, ready for Get data from JSON.

💾 Conversations that persist
The whole conversation is published as JSON in one state. Save it to a Bubble field after each answer, restore it when the screen opens, and your users pick up where they left off. Building a list of past conversations — your own ChatGPT, inside a native app — is a documented, step-by-step recipe.

💵 You can see what it costs
Input tokens, output tokens, total, and an estimated cost in dollars, formatted and ready to drop into a text. Per answer, live.

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WHAT YOU CAN BUILD
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🛍️ A support agent that actually does things — it checks an order in your database, cancels a subscription, or opens a ticket, then explains what it did in plain language.

🧑‍💼 Your own ChatGPT, as a phone app — a list of past conversations, one per user, each saved as a Bubble thing. The documentation walks through this build.

📚 An assistant that knows your business — put your policies, prices and rules in the system prompt and it answers from them instead of guessing.

🎯 A lead qualifier — it interviews the visitor, then hands you a validated object with budget, timeline and use case, ready to write to your CRM.

🏫 A tutor, a coach, a concierge — the personality is one text field, and you can change it per user, per screen, or per plan.

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THE DETAILS THAT TAKE THE LONGEST
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Stop, Regenerate and suggested prompts. A Stop that keeps the half-written answer instead of throwing it away. A Regenerate that rebuilds the history properly. Starter questions that send themselves when tapped.

It survives being hidden. Native apps show and hide screens constantly. If a workflow shows the chat's group and calls an action in the very next step, that action is held and replayed when the element is ready — including the second and third time, which is what a list of conversations depends on.

Changing AI provider is a dropdown. Same fields, same states, same events across OpenAI, Claude and Gemini. Try a cheaper model without touching a workflow.

Errors you can act on. Every failure arrives as a plain sentence that names the exact field or setting that is wrong, plus a code you can branch on in a workflow.

Spending you control. The history sent each turn is capped by a field you set, the agent loop has a step limit, and the cost of every answer is available if you want it on screen.

24 states, 7 events, 6 actions. Everything the chat knows is reachable from your workflows.


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Full documentation, with every field explained and a complete agent walkthrough, is linked on the instructions section.

$70

One time  •  Or  $7/mo

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Platform

Native mobile

Contributor details

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Technocode
Joined 2020   •   18 Plugins
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Instructions

Three steps.
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1. Add your API key

Go to Plugins → GPT Live Native Mobile in your app and fill in the key for whichever provider you want to use. One is enough — you do not need all three.

  • openai_api_key — from platform.openai.com
  • anthropic_api_key — from console.anthropic.com
  • google_api_key — from aistudio.google.com


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2. Set a spending limit — do this before anything else

platform.openai.com → Settings → Limits (or the equivalent for your provider). Set a monthly cap.

Better still: create a separate project in your provider's dashboard, generate the key from that project, and cap that project. If the key is ever misused, the damage stops at the cap and rotating it breaks nothing else.

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3. Put the chat on a screen

Drag AI Chat onto a screen and fill in four fields:

  • chat_height500. Please do not skip this one, see the box below
  • provider — openai, anthropic or google
  • model — e.g. gpt-4o-mini. Leave it empty for the provider's default
  • system_prompt — who the assistant is and what it may talk about

Everything else is optional. Open it in BubbleGo and type a message.

⚠️ If the chat does not appear, it is almost certainly the height.
Native layout is flexbox. An element that asks for full height inside a container that has no height of its own collapses to zero pixels — it exists, it works, it answers, and you cannot see it. That is what chat_height is for. Try 500 before investigating anything else.

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Two things worth doing next

Make conversations survive. Add a text field to your User, then:
  • On the element's response_completed event → Make changes to Current User → your field = AI Chat's messages
  • When the screen opens → Element Actions → AI Chat → Load conversation → messages = that field
That is the whole feature. Invalid or empty text is ignored, so a new user simply starts fresh.

Showing a group and calling an action in the same workflow is safe. A common pattern is a list of chats where tapping one hides the list and shows the chat. Bubble does not draw the element until its group is shown, so a Load conversation in the next step can arrive early — the element holds that call and replays it once it is ready. No delays or workarounds needed.

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Test on a device, not in the browser preview

Bubble previews native apps with React Native for Web, which is not a phone. Streaming, animation and the keyboard all behave differently there.

Use BubbleGo or a test build before deciding anything is broken.

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If something is not working

Put AI Chat's error in a text on the screen while you build. The messages are written to be read by a person and they name the exact field or setting that is wrong.

The three most common:

  • The chat is invisible — set chat_height to 500
  • "no plugin found" at preview — the element was added to a web app. This plugin is the native build
  • A message about the key and Private — see step 1

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Full documentation, including a complete agent walkthrough and a guide to building a list of saved conversations: https://wide-finch-c12.notion.site/GPT-Live-Native-Mobile-Documentation-3cb61f4cca3a8001a688dbbfc16e5e86

Types

This plugin can be found under the following types:
Background Services   •   Element   •   Event   •   Action

Categories

This plugin can be found under the following categories:
Chat   •   AI   •   Visual Elements

Resources

Support contact
Documentation
Tutorial

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