hack/tools/scripts/llm-key-hunter/results/_cache/content/438417623wq_yuan-ai.json

{"repo": "438417623wq/yuan-ai", "files": {"lib/src/models.dart": {"551d3481bce98047122dc3e6cadb79917005c420": {"t": 1785745908.0193753, "n": 16935, "h": "9b2ed05f1335068b", "c": "import 'package:flutter/material.dart';\n\nenum ChatRole { user, assistant, system }\n\nclass ChatMessage {\n  const ChatMessage({\n    required this.role,\n    required this.text,\n    required this.time,\n  });\n\n  final ChatRole role;\n  final String text;\n  final String time;\n\n  Map<String, dynamic> toJson() {\n    return <String, dynamic>{'role': role.name, 'text': text, 'time': time};\n  }\n\n  static ChatMessage fromJson(Map<String, dynamic> json) {\n    final roleName = (json['role'] ?? 'assistant').toString();\n    final role = ChatRole.values.firstWhere(\n      (value) => value.name == roleName,\n      orElse: () => ChatRole.assistant,\n    );\n    return ChatMessage(\n      role: role,\n      text: (json['text'] ?? '').toString(),\n      time: (json['time'] ?? '').toString(),\n    );\n  }\n}\n\nclass ModelProvider {\n  const ModelProvider({\n    required this.id,\n    required this.name,\n    required this.color,\n    required this.icon,\n  });\n\n  final String id;\n  final String name;\n  final Color color;\n  final String icon;\n}\n\nclass ProviderConfig {\n  const ProviderConfig({\n    this.baseUrl = '',\n    this.apiPath = '',\n    this.modelListPath = '',\n    this.apiKey = '',\n    this.extraHeaders = const {},\n    this.model = '',\n    this.availableModels = const [],\n    this.improveNetworkCompatibility = false,\n    this.reasoningEffort = 'very_high',\n  });\n\n  final String baseUrl;\n  final String apiPath;\n  final String modelListPath;\n  final String apiKey;\n  final Map<String, String> extraHeaders;\n  final String model;\n  final List<String> availableModels;\n  final bool improveNetworkCompatibility;\n  final String reasoningEffort;\n\n  ProviderConfig copyWith({\n    String? baseUrl,\n    String? apiPath,\n    String? modelListPath,\n    String? apiKey,\n    Map<String, String>? extraHeaders,\n    String? model,\n    List<String>? availableModels,\n    bool? improveNetworkCompatibility,\n    String? reasoningEffort,\n  }) {\n    return ProviderConfig(\n      baseUrl: baseUrl ?? this.baseUrl,\n      apiPath: apiPath ?? this.apiPath,\n      modelListPath: modelListPath ?? this.modelListPath,\n      apiKey: apiKey ?? this.apiKey,\n      extraHeaders: extraHeaders ?? this.extraHeaders,\n      model: model ?? this.model,\n      availableModels: availableModels ?? this.availableModels,\n      improveNetworkCompatibility:\n          improveNetworkCompatibility ?? this.improveNetworkCompatibility,\n      reasoningEffort: reasoningEffort ?? this.reasoningEffort,\n    );\n  }\n\n  Map<String, dynamic> toJson() {\n    return <String, dynamic>{\n      'baseUrl': baseUrl,\n      'apiPath': apiPath,\n      'modelListPath': modelListPath,\n      'apiKey': apiKey,\n      'extraHeaders': extraHeaders,\n      'model': model,\n      'availableModels': availableModels,\n      'improveNetworkCompatibility': improveNetworkCompatibility,\n      'reasoningEffort': reasoningEffort,\n    };\n  }\n\n  static ProviderConfig fromJson(Map<String, dynamic> json) {\n    final rawModels = json['availableModels'];\n    final rawHeaders = json['extraHeaders'];\n    return ProviderConfig(\n      baseUrl: (json['baseUrl'] ?? '').toString(),\n      apiPath: (json['apiPath'] ?? '').toString(),\n      modelListPath: (json['modelListPath'] ?? '').toString(),\n      apiKey: (json['apiKey'] ?? '').toString(),\n      extraHeaders: rawHeaders is Map\n          ? rawHeaders.map(\n              (key, value) => MapEntry(key.toString(), value.toString()),\n            )\n          : const {},\n      model: (json['model'] ?? '').toString(),\n      availableModels: rawModels is List\n          ? rawModels.map((item) => item.toString()).toList()\n          : const [],\n      improveNetworkCompatibility: json['improveNetworkCompatibility'] == true,\n      reasoningEffort: (json['reasoningEffort'] ?? 'very_high').toString(),\n    );\n  }\n}\n\nclass ApiConnectionProfile {\n  const ApiConnectionProfile({\n    required this.id,\n    required this.name,\n    required this.providerId,\n    required this.baseUrl,\n    this.apiPath = '',\n    this.modelListPath = '',\n    required this.apiKey,\n    this.extraHeaders = const {},\n    required this.model,\n    this.availableModels = const [],\n    this.improveNetworkCompatibility = false,\n    this.modelDisplayName = '',\n    this.modelType = 'chat',\n    this.inputModes = const ['text'],\n    this.outputModes = const ['text'],\n    this.capabilityTools = false,\n    this.capabilityReasoning = false,\n    this.reasoningEffort = 'very_high',\n  });\n\n  final String id;\n  final String name;\n  final String providerId;\n  final String baseUrl;\n  final String apiPath;\n  final String modelListPath;\n  final String apiKey;\n  final Map<String, String> extraHeaders;\n  final String model;\n  final List<String> availableModels;\n  final bool improveNetworkCompatibility;\n  final String modelDisplayName;\n  final String modelType;\n  final List<String> inputModes;\n  final List<String> outputModes;\n  final bool capabilityTools;\n  final bool capabilityReasoning;\n  final String reasoningEffort;\n\n  ProviderConfig toConfig() {\n    return ProviderConfig(\n      baseUrl: baseUrl,\n      apiPath: apiPath,\n      modelListPath: modelListPath,\n      apiKey: apiKey,\n      extraHeaders: extraHeaders,\n      model: model,\n      availableModels: availableModels,\n      improveNetworkCompatibility: improveNetworkCompatibility,\n      reasoningEffort: reasoningEffort,\n    );\n  }\n\n  ApiConnectionProfile copyWith({\n    String? id,\n    String? name,\n    String? providerId,\n    String? baseUrl,\n    String? apiPath,\n    String? modelListPath,\n    String? apiKey,\n    Map<String, String>? extraHeaders,\n    String? model,\n    List<String>? availableModels,\n    bool? improveNetworkCompatibility,\n    String? modelDisplayName,\n    String? modelType,\n    List<String>? inputModes,\n    List<String>? outputModes,\n    bool? capabilityTools,\n    bool? capabilityReasoning,\n    String? reasoningEffort,\n  }) {\n    return ApiConnectionProfile(\n      id: id ?? this.id,\n      name: name ?? this.name,\n      providerId: providerId ?? this.providerId,\n      baseUrl: baseUrl ?? this.baseUrl,\n      apiPath: apiPath ?? this.apiPath,\n      modelListPath: modelListPath ?? this.modelListPath,\n      apiKey: apiKey ?? this.apiKey,\n      extraHeaders: extraHeaders ?? this.extraHeaders,\n      model: model ?? this.model,\n      availableModels: availableModels ?? this.availableModels,\n      improveNetworkCompatibility:\n          improveNetworkCompatibility ?? this.improveNetworkCompatibility,\n      modelDisplayName: modelDisplayName ?? this.modelDisplayName,\n      modelType: modelType ?? this.modelType,\n      inputModes: inputModes ?? this.inputModes,\n      outputModes: outputModes ?? this.outputModes,\n      capabilityTools: capabilityTools ?? this.capabilityTools,\n      capabilityReasoning: capabilityReasoning ?? this.capabilityReasoning,\n      reasoningEffort: reasoningEffort ?? this.reasoningEffort,\n    );\n  }\n\n  Map<String, dynamic> toJson() {\n    return <String, dynamic>{\n      'id': id,\n      'name': name,\n      'providerId': providerId,\n      'baseUrl': baseUrl,\n      'apiPath': apiPath,\n      'modelListPath': modelListPath,\n      'apiKey': apiKey,\n      'extraHeaders': extraHeaders,\n      'model': model,\n      'availableModels': availableModels,\n      'improveNetworkCompatibility': improveNetworkCompatibility,\n      'modelDisplayName': modelDisplayName,\n      'modelType': modelType,\n      'inputModes': inputModes,\n      'outputModes': outputModes,\n      'capabilityTools': capabilityTools,\n      'capabilityReasoning': capabilityReasoning,\n      'reasoningEffort': reasoningEffort,\n    };\n  }\n\n  static ApiConnectionProfile fromJson(Map<String, dynamic> json) {\n    final rawModels = json['availableModels'];\n    final rawHeaders = json['extraHeaders'];\n    final rawInputModes = json['inputModes'];\n    final rawOutputModes = json['outputModes'];\n    final parsedInputModes = rawInputModes is List\n        ? rawInputModes.map((item) => item.toString()).toList()\n        : const <String>[];\n    final parsedOutputModes = rawOutputModes is List\n        ? rawOutputModes.map((item) => item.toString()).toList()\n        : const <String>[];\n    return ApiConnectionProfile(\n      id: (json['id'] ?? '').toString(),\n      name: (json['name'] ?? '').toString(),\n      providerId: (json['providerId'] ?? 'openai').toString(),\n      baseUrl: (json['baseUrl'] ?? '').toString(),\n      apiPath: (json['apiPath'] ?? '').toString(),\n      modelListPath: (json['modelListPath'] ?? '').toString(),\n      apiKey: (json['apiKey'] ?? '').toString(),\n      extraHeaders: rawHeaders is Map\n          ? rawHeaders.map(\n              (key, value) => MapEntry(key.toString(), value.toString()),\n            )\n          : const {},\n      model: (json['model'] ?? '').toString(),\n      availableModels: rawModels is List\n          ? rawModels.map((item) => item.toString()).toList()\n          : const [],\n      improveNetworkCompatibility: json['improveNetworkCompatibility'] == true,\n      modelDisplayName: (json['modelDisplayName'] ?? '').toString(),\n      modelType: (json['modelType'] ?? 'chat').toString(),\n      inputModes: parsedInputModes.isEmpty ? const ['text'] : parsedInputModes,\n      outputModes: parsedOutputModes.isEmpty\n          ? const ['text']\n          : parsedOutputModes,\n      capabilityTools: json['capabilityTools'] == true,\n      capabilityReasoning: json['capabilityReasoning'] == true,\n      reasoningEffort: (json['reasoningEffort'] ?? 'very_high').toString(),\n    );\n  }\n}\n\nclass ProjectFileSnippet {\n  const ProjectFileSnippet({\n    required this.path,\n    required this.absolutePath,\n    required this.preview,\n    required this.sizeBytes,\n    required this.isBinary,\n  });\n\n  final String path;\n  final String absolutePath;\n  final String preview;\n  final int sizeBytes;\n  final bool isBinary;\n}\n\nclass ProviderGuide {\n  const ProviderGuide({\n    required this.baseUrl,\n    required this.auth,\n    required this.modelListPath,\n    required this.docsUrl,\n    required this.note,\n    this.supportsAutoFetch = true,\n  });\n\n  final String baseUrl;\n  final String auth;\n  final String modelListPath;\n  final String docsUrl;\n  final String note;\n  final bool supportsAutoFetch;\n}\n\nconst List<ModelProvider> kProviders = [\n  ModelProvider(\n    id: 'openai',\n    name: 'OpenAI',\n    color: Color(0xFF111111),\n    icon: 'OA',\n  ),\n  ModelProvider(\n    id: 'openai_responses',\n    name: 'OpenAI (Responses)',\n    color: Color(0xFF202020),\n    icon: 'OR',\n  ),\n  ModelProvider(\n    id: 'gemini',\n    name: 'Gemini',\n    color: Color(0xFF2D7FF9),\n    icon: 'GM',\n  ),\n  ModelProvider(\n    id: 'claude',\n    name: 'Claude',\n    color: Color(0xFFDE8454),\n    icon: 'CL',\n  ),\n  ModelProvider(\n    id: 'deepseek',\n    name: 'DeepSeek',\n    color: Color(0xFF4C6DF6),\n    icon: 'DS',\n  ),\n  ModelProvider(\n    id: 'siliconflow',\n    name: '硅基流动',\n    color: Color(0xFF6D35FF),\n    icon: 'SF',\n  ),\n  ModelProvider(\n    id: 'openrouter',\n    name: 'OpenRouter',\n    color: Color(0xFF111111),\n    icon: 'OR',\n  ),\n  ModelProvider(\n    id: 'ollama',\n    name: 'Ollama',\n    color: Color(0xFFE8E8ED),\n    icon: 'OL',\n  ),\n  ModelProvider(\n    id: 'lmstudio',\n    name: 'LM Studio',\n    color: Color(0xFF4B41D4),\n    icon: 'LM',\n  ),\n  ModelProvider(\n    id: 'azure_openai',\n    name: 'Azure OpenAI',\n    color: Color(0xFF111111),\n    icon: 'AZ',\n  ),\n  ModelProvider(id: 'groq', name: 'Groq', color: Color(0xFF111111), icon: 'GQ'),\n  ModelProvider(id: 'xai', name: 'xAI', color: Color(0xFF111111), icon: 'XI'),\n  ModelProvider(\n    id: 'mistral',\n    name: 'Mistral AI',\n    color: Color(0xFFF2A53B),\n    icon: 'MS',\n  ),\n  ModelProvider(\n    id: 'perplexity',\n    name: 'Perplexity',\n    color: Color(0xFF111111),\n    icon: 'PP',\n  ),\n  ModelProvider(\n    id: 'volcano',\n    name: '火山引擎',\n    color: Color(0xFF4C6DF6),\n    icon: 'VE',\n  ),\n  ModelProvider(\n    id: 'chatglm',\n    name: '智谱 BigModel',\n    color: Color(0xFF4C6DF6),\n    icon: 'GL',\n  ),\n  ModelProvider(id: 'custom', name: '自定义', color: Color(0xFF355273), icon: '自'),\n];\n\nconst Map<String, ProviderGuide> kProviderGuides = {\n  'openai': ProviderGuide(\n    baseUrl: 'https://api.openai.com/v1',\n    auth: 'Authorization: Bearer <OPENAI_API_KEY>',\n    modelListPath: '/models',\n    docsUrl: 'https://platform.openai.com/docs/api-reference/models/list',\n    note: '官方模型列表接口 GET /v1/models；建议优先使用 Responses API 完成对话调用。',\n  ),\n  'openai_responses': ProviderGuide(\n    baseUrl: 'https://api.openai.com/v1',\n    auth: 'Authorization: Bearer <OPENAI_API_KEY>',\n    modelListPath: '/models',\n    docsUrl: 'https://platform.openai.com/docs/api-reference/models/list',\n    note: '同 OpenAI，适合以 Responses API 为主的接入方式。',\n  ),\n  'gemini': ProviderGuide(\n    baseUrl: 'https://generativelanguage.googleapis.com/v1beta',\n    auth: 'x-goog-api-key: <GEMINI_API_KEY>',\n    modelListPath: 'GET /models (Header 或 ?key=)',\n    docsUrl: 'https://ai.google.dev/gemini-api/docs/models',\n    note: '模型列表返回字段常见为 models[].name，例如 models/gemini-2.5-pro。',\n  ),\n  'claude': ProviderGuide(\n    baseUrl: 'https://api.anthropic.com',\n    auth: 'x-api-key + anthropic-version',\n    modelListPath: '/v1/models',\n    docsUrl: 'https://docs.anthropic.com/en/api/models-list',\n    note: 'Anthropic 原生 API 要求 anthropic-version 请求头，模型列表为 GET /v1/models。',\n  ),\n  'deepseek': ProviderGuide(\n    baseUrl: 'https://api.deepseek.com',\n    auth: 'Authorization: Bearer <DEEPSEEK_API_KEY>',\n    modelListPath: '/models',\n    docsUrl: 'https://api-docs.deepseek.com/api/list-models',\n    note: '兼容 OpenAI 协议；官方同时说明 /v1 仅是兼容层，与模型版本无关。',\n  ),\n  'siliconflow': ProviderGuide(\n    baseUrl: 'https://api.siliconflow.cn/v1',\n    auth: 'Authorization: Bearer <SILICONFLOW_API_KEY>',\n    modelListPath: '/models',\n    docsUrl:\n        'https://docs.siliconflow.cn/en/api-reference/models/get-model-list',\n    note: '支持 type/sub_type 过滤模型。',\n  ),\n  'openrouter': ProviderGuide(\n    baseUrl: 'https://openrouter.ai/api/v1',\n    auth: 'Authorization: Bearer <OPENROUTER_API_KEY>',\n    modelListPath: '/models',\n    docsUrl: 'https://openrouter.ai/docs/api-reference/models/get-models',\n    note: '可选 HTTP-Referer 与 X-Title 请求头用于应用归属与统计。',\n  ),\n  'ollama': ProviderGuide(\n    baseUrl: 'http://localhost:11434/api',\n    auth: '本地默认无需鉴权；云端可 Bearer',\n    modelListPath: '/tags',\n    docsUrl: 'https://docs.ollama.com/api/tags',\n    note: '本地常用 /api/tags 获取模型列表。',\n  ),\n  'lmstudio': ProviderGuide(\n    baseUrl: 'http://localhost:1234/v1',\n    auth: '通常可用任意占位 key（如 lm-studio）',\n    modelListPath: '/models',\n    docsUrl: 'https://lmstudio.ai/docs/app/api/openai-compat',\n    note: 'OpenAI 兼容接口，支持 /v1/models。',\n  ),\n  'azure_openai': ProviderGuide(\n    baseUrl: 'https://<resource>.openai.azure.com',\n    auth: 'api-key: <AZURE_OPENAI_KEY>',\n    modelListPath: '/openai/v1/models?api-version=preview',\n    docsUrl:\n        'https://learn.microsoft.com/en-us/azure/foundry/openai/reference-preview',\n    note: '官方预览文档包含 GET /openai/v1/models；聊天调用常用 deployment-name。',\n  ),\n  'groq': ProviderGuide(\n    baseUrl: 'https://api.groq.com/openai/v1',\n    auth: 'Authorization: Bearer <GROQ_API_KEY>',\n    modelListPath: '/models',\n    docsUrl: 'https://console.groq.com/docs/api-reference',\n    note: 'OpenAI 兼容接口；模型列表走 /openai/v1/models。',\n  ),\n  'xai': ProviderGuide(\n    baseUrl: 'https://api.x.ai',\n    auth: 'Authorization: Bearer <XAI_API_KEY>',\n    modelListPath: '/v1/models',\n    docsUrl: 'https://docs.x.ai/developers/api-reference/models',\n    note: '官方全局入口为 api.x.ai，鉴权使用 Bearer Token。',\n  ),\n  'mistral': ProviderGuide(\n    baseUrl: 'https://api.mistral.ai/v1',\n    auth: 'Authorization: Bearer <MISTRAL_API_KEY>',\n    modelListPath: '/models',\n    docsUrl: 'https://docs.mistral.ai/api/endpoint/models',\n    note: '官方模型列表接口为 GET /v1/models。',\n  ),\n  'perplexity': ProviderGuide(\n    baseUrl: 'https://api.perplexity.ai',\n    auth: 'Authorization: Bearer <PERPLEXITY_API_KEY>',\n    modelListPath: '建议按文档模型页手动选择',\n    docsUrl: 'https://docs.perplexity.ai/docs/agent-api/openai-compatibility',\n    note: '官方同时给出 OpenAI 兼容方式，基地址在不同 API 版本文档中可能不同（v1/v2）。',\n    supportsAutoFetch: false,\n  ),\n  'volcano': ProviderGuide(\n    baseUrl: 'https://ark.cn-beijing.volces.com/api/v3',\n    auth: 'Authorization: Bearer <ARK_API_KEY>',\n    modelListPath: '控制台模型列表 / 固定 Model ID',\n    docsUrl: 'https://www.volcengine.com/docs/82379/1338552',\n    note: '火山方舟支持 API Key + Response API；模型 ID 通常从控制台获取。',\n    supportsAutoFetch: false,\n  ),\n  'chatglm': ProviderGuide(\n    baseUrl: 'https://open.bigmodel.cn/api/paas/v4',\n    auth: 'Authorization: Bearer <BIGMODEL_API_KEY>',\n    modelListPath: '模型概览页 / 固定 Model ID',\n    docsUrl: 'https://docs.bigmodel.cn/api-reference',\n    note: '智谱 BigModel 文档提供统一鉴权与接口说明，模型通常按文档/控制台选择。',\n    supportsAutoFetch: false,\n  ),\n  'custom': ProviderGuide(\n    baseUrl: '',\n    auth: '按目标平台要求配置',\n    modelListPath: '按目标平台定义',\n    docsUrl: 'https://platform.openai.com/docs/api-reference/models/list',\n    note: '自定义供应商可按 OpenAI 兼容模式接入。',\n    supportsAutoFetch: false,\n  ),\n};\n"}}}}