Files
iiEsaywebUIapp/lib/core/models/model.dart
2025-09-20 22:03:55 +05:30

132 lines
4.2 KiB
Dart

import 'package:freezed_annotation/freezed_annotation.dart';
part 'model.freezed.dart';
@freezed
sealed class Model with _$Model {
const Model._();
const factory Model({
required String id,
required String name,
String? description,
@Default(false) bool isMultimodal,
@Default(false) bool supportsStreaming,
@Default(false) bool supportsRAG,
Map<String, dynamic>? capabilities,
Map<String, dynamic>? metadata,
List<String>? supportedParameters,
}) = _Model;
factory Model.fromJson(Map<String, dynamic> json) {
// Handle different response formats from OpenWebUI
// Extract architecture info for capabilities
final architecture = json['architecture'] as Map<String, dynamic>?;
final modality = architecture?['modality'] as String?;
final inputModalities = architecture?['input_modalities'] as List?;
// Determine if multimodal based on architecture
final isMultimodal =
modality?.contains('image') == true ||
inputModalities?.contains('image') == true;
// Extract supported parameters robustly (top-level or nested under provider keys)
List? supportedParams =
(json['supported_parameters'] as List?) ??
(json['supportedParameters'] as List?);
if (supportedParams == null) {
const providerKeys = [
'openai',
'anthropic',
'google',
'meta',
'mistral',
'cohere',
'xai',
'perplexity',
'deepseek',
'groq',
];
for (final key in providerKeys) {
final provider = json[key] as Map<String, dynamic>?;
final list =
(provider?['supported_parameters'] as List?) ??
(provider?['supportedParameters'] as List?);
if (list != null) {
supportedParams = list;
break;
}
}
}
// Determine streaming support from supported parameters if known
final supportsStreaming = supportedParams?.contains('stream') ?? true;
// Convert supported parameters to List<String> if present
final supportedParamsList = supportedParams
?.map((e) => e.toString())
.toList();
final baseMetadata = Map<String, dynamic>.from(
(json['metadata'] as Map<String, dynamic>?) ?? const {},
);
final metaSection = json['meta'] as Map<String, dynamic>?;
final infoSection = json['info'] as Map<String, dynamic>?;
String? profileImage = json['profile_image_url'] as String?;
profileImage ??= baseMetadata['profile_image_url'] as String?;
profileImage ??= metaSection?['profile_image_url'] as String?;
profileImage ??=
(infoSection?['meta'] as Map<String, dynamic>?)?['profile_image_url']
as String?;
final mergedMetadata = <String, dynamic>{
...baseMetadata,
if (json['canonical_slug'] != null)
'canonical_slug':
baseMetadata['canonical_slug'] ?? json['canonical_slug'],
if (json['created'] != null)
'created': baseMetadata['created'] ?? json['created'],
if (json['connection_type'] != null)
'connection_type':
baseMetadata['connection_type'] ?? json['connection_type'],
};
if (profileImage != null && profileImage.isNotEmpty) {
mergedMetadata['profile_image_url'] = profileImage;
}
if (metaSection != null) {
final existing =
(mergedMetadata['meta'] as Map<String, dynamic>?) ?? const {};
mergedMetadata['meta'] = {...existing, ...metaSection};
}
if (infoSection != null) {
final existingInfo =
(mergedMetadata['info'] as Map<String, dynamic>?) ?? const {};
mergedMetadata['info'] = {...existingInfo, ...infoSection};
}
return Model(
id: json['id'] as String,
name: json['name'] as String,
description: json['description'] as String?,
isMultimodal: isMultimodal,
supportsStreaming: supportsStreaming,
supportsRAG: json['supportsRAG'] as bool? ?? false,
supportedParameters: supportedParamsList,
capabilities: {
'architecture': architecture,
'pricing': json['pricing'],
'context_length': json['context_length'],
'supported_parameters': supportedParamsList ?? supportedParams,
},
metadata: mergedMetadata,
);
}
}