Description
AI Assistant App Template — Wivora | Flutter AI Assistant App Template is a downloadable digital product for buyers who want to review the listed features, compatibility and setup details before purchase. Use the information on this page to confirm that the files match your project requirements.
AI Assistant App Template overview
This AI Assistant App Template listing brings the product description, included capabilities and technical notes together in one place. Before using it on a live project, review the stated platform or version requirements, test it in a staging environment and keep a backup of your existing website or application.
Compare this product with more Android Apps, and consult the Android developer documentation when planning installation or customization.
Wivora | Flutter AI Assistant App Template
Wivora | Flutter AI Assistant App Template is a production-ready Flutter AI assistant app template — streaming chat, image generation, a persona library, and multi-session history, built on a bring-your-own-key multi-provider layer (OpenAI, Claude, Gemini). It runs out of the box in Demo Mode, with no API key and no backend of your own required.
Features:
- Streaming chat — Server-Sent-Events streamed token by token behind a live cursor, a dependency-free Markdown renderer (headings, lists, bold/italic/code and fenced code blocks with a language label and a Copy button), and a send ↔ stop control.
- Bring your own key — OpenAI, Claude and Gemini behind one LlmProvider interface, each a thin pure-http SSE client (deliberately no vendor SDKs, so you are never locked to a package’s release cadence). Keys are stored in the platform keychain/keystore and never logged.
- Demo Mode — with no key configured, a mock provider streams a canned reply and image generation returns a branded gradient placeholder, so the whole app is demonstrable at zero API cost.
- Persona library & Image Studio — 10 preset assistants that seed a system prompt when you start a chat, plus a prompt-driven image Studio with aspect chips and a generated gallery.
Built for developers:
- Clean GetX architecture (View → Controller → Service → Provider, lazy bindings per route)
- One provider interface with four implementations — add your own by implementing LlmProvider
- Hand-written SSE parsing in one small file — adapt to any API change without touching a dependency
- Reusable, theme-aware components; a monetization scaffold (paywall UI + ad-banner slot) ready to wire to RevenueCat / AdMob
License and usage notes: Review the license terms stated for this product before use or redistribution. Verify the applicable redistribution license for this product before publishing. Official vendor support, hosted services, and license keys are not included unless explicitly stated.
Before production use, test the product in a staging environment and keep backups.
Built for developers:
- Clean GetX architecture (View → Controller → Service → Provider, lazy bindings per route)
- One provider interface with four implementations — add your own by implementing LlmProvider
- Hand-written SSE parsing in one small file — adapt to any API change without touching a dependency
- Reusable, theme-aware components; a monetization scaffold (paywall UI + ad-banner slot) ready to wire to RevenueCat / AdMob
License and usage notes: Review the license terms stated for this product before use or redistribution. Verify the applicable redistribution license for this product before publishing. Official vendor support, hosted services, and license keys are not included unless explicitly stated.
Before production use, test the product in a staging environment and keep backups.
License and usage notes: Review the license terms stated for this product before use or redistribution. Verify the applicable redistribution license for this product before publishing. Official vendor support, hosted services, and license keys are not included unless explicitly stated.
Before production use, test the product in a staging environment and keep backups.
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