trail_ai 1.0.1

A Flutter package for building AI-powered applications with support for both online (Google Gemini) and offline (Gemma) language models. Features connectivity-aware model switching, streaming response [...]

trail_ai

trail_ai is a reusable Flutter package that gives you one agent API for:

• Online chat with Gemini
• Offline chat with a local model via flutter_gemma
• Auto online/offline switching from network connectivity
• Optional fallback to offline when online fails
• Streaming and non-streaming responses

Quick start

Add dependency:

dependencies:
	trail_ai:

Create and initialize an agent:

import 'package:trail_ai/trail_ai.dart';

final agent = TrailAiAgent(
	config: const TrailAiConfig(
		geminiApiKey: 'YOUR_GEMINI_API_KEY',
		agentContext: 'You are a concise travel assistant.',
	),
);

await agent.initialize();

Ask a question and get a complete response:

final result = await agent.ask('Plan a 3-day trip to Jaipur');
print(result.source); // TrailAiSource.online or TrailAiSource.offline
print(result.text);

Ask with streaming chunks:

await for (final chunk in agent.askStream('Best places to visit in Udaipur?')) {
	print(chunk.text);
}

Dispose when done:

await agent.dispose();

API overview

• TrailAiConfig: setup key, model names/urls, default behavior context
• TrailAiAgent.initialize(): starts Gemini, connectivity listener, optional offline preload
• TrailAiAgent.ask() / askStream(): send questions with optional per-call context override
• onlineStatusStream: emits online/offline state changes
• downloadProgressStream: emits local model download state/progress

Behavior context

You can provide context in two ways:

• Global context in TrailAiConfig.agentContext
• Request-level context in ask(..., context: '...')

Request-level context overrides global context for that question.

Notes

• Offline responses require the local model to be downloaded and ready.
• If online fails and fallbackToOfflineOnOnlineFailure is true, the agent tries local model automatically.