{"repo": "anbeime/ai-trend-publish", "files": {"src/providers/llm/xunfei-llm.ts": {"446fe1f04703c94c556469893a7ab362570f4639": {"t": 1785768232.832607, "n": 4225, "h": "0433f25f5070abf3", "c": "import { ConfigManager } from \"@src/utils/config/config-manager.ts\";\nimport { HttpClient } from \"@src/utils/http/http-client.ts\";\nimport {\n  ChatCompletionOptions,\n  ChatMessage,\n  LLMProvider,\n} from \"@src/providers/interfaces/llm.interface.ts\";\n\ninterface XunfeiMessage {\n  role: \"system\" | \"user\" | \"assistant\";\n  content: string;\n}\n\ninterface XunfeiResponse {\n  code: number;\n  message: string;\n  sid: string;\n  choices: {\n    message: {\n      role: \"assistant\" | \"user\";\n      content: string;\n    };\n    index: number;\n  }[];\n  usage: {\n    prompt_tokens: number;\n    completion_tokens: number;\n    total_tokens: number;\n  };\n}\n\n/**\n * 讯飞星火大模型API适配器\n */\nexport class XunfeiLLM implements LLMProvider {\n  private baseURL = \"https://spark-api-open.xf-yun.com/v1/chat/completions\";\n  private token!: string;\n  private defaultModel = \"4.0Ultra\";\n  private httpClient: HttpClient;\n\n  constructor(\n    private configManager: ConfigManager = ConfigManager.getInstance(),\n  ) {\n    this.httpClient = HttpClient.getInstance();\n  }\n\n  async initialize(): Promise<void> {\n    await this.refresh();\n  }\n\n  async setModel(model: string): Promise<void> {\n    this.defaultModel = model\n  }\n\n  async refresh(): Promise<void> {\n    this.token = await this.configManager.get(\"XUNFEI_API_KEY\");\n    if (!this.token) {\n      throw new Error(\"讯飞API密钥未设置\");\n    }\n\n    // 检查API服务是否可用\n    const isHealthy = await this.httpClient.healthCheck(\n      \"https://spark-api-open.xf-yun.com\",\n    );\n    if (!isHealthy) {\n      console.warn(\"警告: 讯飞API服务健康检查失败，可能无法正常访问\");\n    }\n  }\n\n  /**\n   * 创建聊天完成\n   * @param messages 消息数组\n   * @param options 可选参数\n   * @returns 聊天完成响应\n   */\n  async createChatCompletion(\n    messages: ChatMessage[],\n    options: ChatCompletionOptions = {},\n  ): Promise<any> {\n    try {\n      const xunfeiMessages: XunfeiMessage[] = messages.map((msg) => ({\n        role: msg.role,\n        content: msg.content,\n      }));\n\n      const enableWebSearch = options.stream === undefined\n        ? false\n        : options.stream;\n\n      const response = await this.httpClient.request<XunfeiResponse>(\n        this.baseURL,\n        {\n          method: \"POST\",\n          headers: {\n            \"Content-Type\": \"application/json\",\n            \"Authorization\": `Bearer ${this.token}`,\n          },\n          body: JSON.stringify({\n            model: this.defaultModel,\n            messages: xunfeiMessages,\n            stream: false,\n            ...(enableWebSearch && {\n              tools: [\n                {\n                  type: \"web_search\",\n                  web_search: {\n                    enable: true,\n                  },\n                },\n              ],\n            }),\n          }),\n          timeout: 60000, // 60秒超时\n          retries: 3, // 最多重试3次\n          retryDelay: 1000, // 重试间隔1秒\n        },\n      );\n\n      if (response.code !== 0) {\n        throw new Error(`API错误: ${response.message}`);\n      }\n\n      if (!response.choices || response.choices.length === 0) {\n        throw new Error(\"没有可用的响应选项\");\n      }\n\n      // 转换为标准格式返回\n      return {\n        id: response.sid,\n        object: \"chat.completion\",\n        created: Date.now(),\n        model: this.defaultModel,\n        choices: response.choices.map((choice) => ({\n          index: choice.index,\n          message: {\n            role: choice.message.role,\n            content: choice.message.content,\n          },\n          finish_reason: \"stop\",\n        })),\n        usage: response.usage,\n      };\n    } catch (error) {\n      throw new Error(`创建聊天完成失败: ${(error as Error).message}`);\n    }\n  }\n\n  /**\n   * 发送单条消息并获取响应（便捷方法）\n   * @param content 消息内容\n   * @param systemPrompt 可选的系统提示\n   * @param enableWebSearch 是否启用网络搜索\n   * @returns 助手的响应文本\n   */\n  async sendMessage(\n    content: string,\n    systemPrompt?: string,\n    enableWebSearch?: boolean,\n  ): Promise<string> {\n    const messages: ChatMessage[] = [];\n\n    if (systemPrompt) {\n      messages.push({\n        role: \"system\",\n        content: systemPrompt,\n      });\n    }\n\n    messages.push({\n      role: \"user\",\n      content,\n    });\n\n    const response = await this.createChatCompletion(messages, {\n      stream: enableWebSearch,\n    });\n\n    return response.choices[0].message.content;\n  }\n}\n"}, "62c1db331bf09bb7fe2d1a30be9e95313a80d4c2": {"t": 1785846970.1463294, "n": 4225, "h": "0433f25f5070abf3", "c": "import { ConfigManager } from \"@src/utils/config/config-manager.ts\";\nimport { HttpClient } from \"@src/utils/http/http-client.ts\";\nimport {\n  ChatCompletionOptions,\n  ChatMessage,\n  LLMProvider,\n} from \"@src/providers/interfaces/llm.interface.ts\";\n\ninterface XunfeiMessage {\n  role: \"system\" | \"user\" | \"assistant\";\n  content: string;\n}\n\ninterface XunfeiResponse {\n  code: number;\n  message: string;\n  sid: string;\n  choices: {\n    message: {\n      role: \"assistant\" | \"user\";\n      content: string;\n    };\n    index: number;\n  }[];\n  usage: {\n    prompt_tokens: number;\n    completion_tokens: number;\n    total_tokens: number;\n  };\n}\n\n/**\n * 讯飞星火大模型API适配器\n */\nexport class XunfeiLLM implements LLMProvider {\n  private baseURL = \"https://spark-api-open.xf-yun.com/v1/chat/completions\";\n  private token!: string;\n  private defaultModel = \"4.0Ultra\";\n  private httpClient: HttpClient;\n\n  constructor(\n    private configManager: ConfigManager = ConfigManager.getInstance(),\n  ) {\n    this.httpClient = HttpClient.getInstance();\n  }\n\n  async initialize(): Promise<void> {\n    await this.refresh();\n  }\n\n  async setModel(model: string): Promise<void> {\n    this.defaultModel = model\n  }\n\n  async refresh(): Promise<void> {\n    this.token = await this.configManager.get(\"XUNFEI_API_KEY\");\n    if (!this.token) {\n      throw new Error(\"讯飞API密钥未设置\");\n    }\n\n    // 检查API服务是否可用\n    const isHealthy = await this.httpClient.healthCheck(\n      \"https://spark-api-open.xf-yun.com\",\n    );\n    if (!isHealthy) {\n      console.warn(\"警告: 讯飞API服务健康检查失败，可能无法正常访问\");\n    }\n  }\n\n  /**\n   * 创建聊天完成\n   * @param messages 消息数组\n   * @param options 可选参数\n   * @returns 聊天完成响应\n   */\n  async createChatCompletion(\n    messages: ChatMessage[],\n    options: ChatCompletionOptions = {},\n  ): Promise<any> {\n    try {\n      const xunfeiMessages: XunfeiMessage[] = messages.map((msg) => ({\n        role: msg.role,\n        content: msg.content,\n      }));\n\n      const enableWebSearch = options.stream === undefined\n        ? false\n        : options.stream;\n\n      const response = await this.httpClient.request<XunfeiResponse>(\n        this.baseURL,\n        {\n          method: \"POST\",\n          headers: {\n            \"Content-Type\": \"application/json\",\n            \"Authorization\": `Bearer ${this.token}`,\n          },\n          body: JSON.stringify({\n            model: this.defaultModel,\n            messages: xunfeiMessages,\n            stream: false,\n            ...(enableWebSearch && {\n              tools: [\n                {\n                  type: \"web_search\",\n                  web_search: {\n                    enable: true,\n                  },\n                },\n              ],\n            }),\n          }),\n          timeout: 60000, // 60秒超时\n          retries: 3, // 最多重试3次\n          retryDelay: 1000, // 重试间隔1秒\n        },\n      );\n\n      if (response.code !== 0) {\n        throw new Error(`API错误: ${response.message}`);\n      }\n\n      if (!response.choices || response.choices.length === 0) {\n        throw new Error(\"没有可用的响应选项\");\n      }\n\n      // 转换为标准格式返回\n      return {\n        id: response.sid,\n        object: \"chat.completion\",\n        created: Date.now(),\n        model: this.defaultModel,\n        choices: response.choices.map((choice) => ({\n          index: choice.index,\n          message: {\n            role: choice.message.role,\n            content: choice.message.content,\n          },\n          finish_reason: \"stop\",\n        })),\n        usage: response.usage,\n      };\n    } catch (error) {\n      throw new Error(`创建聊天完成失败: ${(error as Error).message}`);\n    }\n  }\n\n  /**\n   * 发送单条消息并获取响应（便捷方法）\n   * @param content 消息内容\n   * @param systemPrompt 可选的系统提示\n   * @param enableWebSearch 是否启用网络搜索\n   * @returns 助手的响应文本\n   */\n  async sendMessage(\n    content: string,\n    systemPrompt?: string,\n    enableWebSearch?: boolean,\n  ): Promise<string> {\n    const messages: ChatMessage[] = [];\n\n    if (systemPrompt) {\n      messages.push({\n        role: \"system\",\n        content: systemPrompt,\n      });\n    }\n\n    messages.push({\n      role: \"user\",\n      content,\n    });\n\n    const response = await this.createChatCompletion(messages, {\n      stream: enableWebSearch,\n    });\n\n    return response.choices[0].message.content;\n  }\n}\n"}}}}