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
parent f3e7412cf9
commit fbf04d90db
49 changed files with 4856 additions and 92 deletions
@@ -0,0 +1,88 @@
+import 'dart:convert';
+import '../../models.dart';
+import '../webview_base_provider.dart';
+
+class DeepInfraWebView extends WebViewBaseProvider {
+  @override
+  String get name => 'DeepInfra';
+
+  @override
+  bool get working => true;
+
+  @override
+  List<String> get models => ['meta-llama/Meta-Llama-3-70B-Instruct', 'Qwen/Qwen2-72B-Instruct'];
+
+  @override
+  String get defaultModel => 'meta-llama/Meta-Llama-3-70B-Instruct';
+
+  @override
+  String get baseUrl => 'https://deepinfra.com/chat';
+
+  @override
+  String get apiEndpoint => 'https://api.deepinfra.com/v1/openai/chat/completions';
+
+  @override
+  String buildJsFetchCode(String model, List<Message> messages, bool stream) {
+    // 1. We extract the Turnstile token from the DOM
+    // 2. We make a fetch POST to the API endpoint
+    // 3. We return the JSON stringified response back to Dart
+    
+    final messagesJson = jsonEncode(messages.map((m) => m.toJson()).toList());
+    
+    return '''
+      (async function() {
+        // Wait up to 10 seconds for Turnstile token
+        let token = '';
+        for (let i = 0; i < 20; i++) {
+          const input = document.querySelector('[name=cf-turnstile-response]');
+          if (input && input.value) {
+            token = input.value;
+            break;
+          }
+          await new Promise(r => setTimeout(r, 500));
+        }
+        
+        if (!token) {
+          return JSON.stringify({error: "Turnstile token not found"});
+        }
+
+        const payload = {
+          model: "$model",
+          messages: $messagesJson,
+          stream: false
+        };
+
+        try {
+          const response = await fetch("$apiEndpoint", {
+            method: 'POST',
+            headers: {
+              'Content-Type': 'application/json',
+              'Accept': 'application/json',
+              'X-Deepinfra-Source': 'web-page',
+              'X-Deepinfra-Turnstile': token
+            },
+            body: JSON.stringify(payload)
+          });
+          
+          const data = await response.json();
+          return JSON.stringify(data);
+        } catch (e) {
+          return JSON.stringify({error: e.toString()});
+        }
+      })();
+    ''';
+  }
+
+  @override
+  String parseResponse(String rawResponse) {
+    try {
+      final json = jsonDecode(rawResponse);
+      if (json['error'] != null) {
+        throw Exception(json['error']);
+      }
+      return json['choices'][0]['message']['content'];
+    } catch (e) {
+      throw Exception('Failed to parse DeepInfra response: $rawResponse | Error: $e');
+    }
+  }
+}