feat: add AI recommendations flow for tenders

Implement company AI onboarding/recommendation models, services, repository, and tender UI integration with supporting tests.

Co-authored-by: Cursor <cursoragent@cursor.com>

lib/data/services/model/onboarding_data/onboarding_data.dart

@@ -0,0 +1,19 @@
+// ignore_for_file: invalid_annotation_target
+
+import 'package:freezed_annotation/freezed_annotation.dart';
+
+part 'onboarding_data.freezed.dart';
+part 'onboarding_data.g.dart';
+
+/// Payload returned by `POST /api/v1/onboarding`.
+///
+/// Onboarding is asynchronous on the AI side, so the only field is a coarse
+/// [status] (e.g. `started`). Recommendations may stay empty until the AI
+/// service finishes indexing.
+@freezed
+abstract class OnboardingData with _$OnboardingData {
+  const factory OnboardingData({required String? status}) = _OnboardingData;
+
+  factory OnboardingData.fromJson(Map<String, dynamic> json) =>
+      _$OnboardingDataFromJson(json);
+}