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/recommend_response/recommend_response.dart

@@ -0,0 +1,27 @@
+// ignore_for_file: invalid_annotation_target
+
+import 'package:freezed_annotation/freezed_annotation.dart';
+
+import '../error/error_model.dart';
+import '../recommendation_item/recommendation_item.dart';
+
+part 'recommend_response.freezed.dart';
+part 'recommend_response.g.dart';
+
+/// Standard API envelope for `POST /api/v1/recommend`.
+///
+/// [data] holds the ranked recommendations and may be empty (or null) until
+/// the AI service finishes indexing the company.
+@freezed
+abstract class RecommendResponse with _$RecommendResponse {
+  @JsonSerializable(explicitToJson: true)
+  const factory RecommendResponse({
+    @JsonKey(name: 'data') required List<RecommendationItem>? data,
+    @JsonKey(name: 'error') required ErrorModel? error,
+    required String? message,
+    required bool? success,
+  }) = _RecommendResponse;
+
+  factory RecommendResponse.fromJson(Map<String, dynamic> json) =>
+      _$RecommendResponseFromJson(json);
+}