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Alma Alexyz fbf04d90db feat: embed a Flutter G4F client with Cronet, cookie jar, and origin WebView
Port the Oracle off the Python g4f container onto on-device providers: Chromium HTTP via Cronet, a shared cookie session, IterList retry, hosted OpenAI-compat aggregators, and same-origin WebView fallbacks instead of CORS fetch.
2026-09-01 22:05:38 +05:00

82 lines
2.4 KiB
Dart

import 'dart:convert';
import 'package:http/http.dart' as http;
import '../http_client.dart';
import 'package:uuid/uuid.dart';
import '../http_util.dart';
import '../models.dart';
import 'base_provider.dart';
/// Port of g4f.Provider.Quillbot — full JSON-lines reply, no UI stream.
class Quillbot extends BaseProvider {
@override
String get name => 'Quillbot';
@override
bool get working => true;
@override
List<String> get models => ['quillbot', 'quillbot-search'];
@override
String get defaultModel => 'quillbot';
@override
Stream<String> createAsyncGenerator(
String model,
List<Message> messages, {
bool stream = false,
}) async* {
final conversationId = const Uuid().v4();
final url =
'https://quillbot.com/api/ai-chat/chat/conversation/$conversationId';
final payload = {
'message': {'content': '${formatPrompt(messages)}\n\n'},
'context': {
'editorContext': '',
'selectionContext': '',
'userDialect': 'en-us',
'apiVersion': 2,
},
'origin': {'name': 'ai-chat.chat', 'url': 'https://quillbot.com'},
if (model.contains('search')) 'tools': {'web_search_builtin': {}},
};
final req = http.Request('POST', Uri.parse(url));
req.headers.addAll(browserHeaders(
origin: 'https://quillbot.com',
referer: 'https://quillbot.com/ai-chat/c/$conversationId',
contentType: 'application/json',
desktop: true,
extra: {
'accept': 'text/event-stream',
'platform-type': 'webapp',
'qb-product': 'AI-CHAT',
'useridtoken': 'empty-token',
'webapp-version': '42.61.1',
},
));
req.body = jsonEncode(payload);
final res = await g4fHttp.send(req).timeout(requestTimeout);
if (res.statusCode != 200) {
throw Exception('Quillbot ${res.statusCode}');
}
final raw = utf8.decode(await res.stream.toBytes().timeout(requestTimeout));
final buf = StringBuffer();
for (final line in raw.split(RegExp(r'\r?\n'))) {
if (line.trim().isEmpty) continue;
try {
final data = jsonDecode(line);
if (data is Map && data['type'] == 'content' && data['content'] is String) {
buf.write(data['content']);
}
} catch (_) {}
}
final text = buf.toString().trim();
if (!looksLikeModelOutput(text)) {
throw Exception('Quillbot empty');
}
yield text;
}
}