Function generateMapResponseClient

lib/client-api.ts:11–109

(query: string, conversationHistory?: Message[])

}

export async function generateMapResponseClient(query: string, conversationHistory?: Message[]) {
  if (!query || typeof query !== "string") {
    return {
      text: "查询无效。请提供有效的查询字符串。",
      locations: [],
      error: true,
    }
  }

  try {
    // 从 localStorage 获取模型设置
    const settingsStr = localStorage.getItem("model_settings")
    
    // 如果没有设置，检查旧版 API 密钥或返回错误
    if (!settingsStr) {
      const legacyApiKey = localStorage.getItem("openai_api_key")
      if (!legacyApiKey) {
        return {
          text: "缺少模型设置。请先配置您的 AI 模型。",
          locations: [],
          error: true,
        }
      }
      
      // 使用旧版 API 密钥（兼容性支持）
      const response = await fetch("/api/generate", {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
          "x-api-key": legacyApiKey,
        },
        body: JSON.stringify({ 
          query,
          conversationHistory: conversationHistory || []
        }),
      })
      
      const data = await response.json()
      return {
        text: data.text || "无可用的响应文本",
        task_type: data.task_type || "LOCATION_LIST",
        locations: Array.isArray(data.locations) ? data.locations : [],
        polylines: Array.isArray(data.polylines) ? data.polylines : [],
        error: !!data.error,
      }
    }
    
    // 解析模型设置
    const settings: ModelSettings = JSON.parse(settingsStr)
    const provider = settings.provider
    const providerSettings = settings.providerSettings?.[provider] || {
      baseURL: "",
      model: "",
      apiKey: ""
    }
    
    // 发送请求到 API 路由，包含完整的模型设置和对话历史
    const response = await fetch("/api/generate", {