@tavily/core/dist/index.mjs.map

Official JavaScript library for Tavily.

{"version":3,"sources":["../src/search.ts","../src/utils.ts","../src/extract.ts","../src/crawl.ts","../src/map.ts","../src/client.ts"],"sourcesContent":["import { AxiosError, AxiosResponse } from \"axios\";\nimport {\n  TavilySearchOptions,\n  TavilySearchFuncton,\n  TavilyQNASearchFuncton,\n  TavilyContextSearchFuncton,\n  TavilyProxyOptions,\n} from \"./types\";\nimport {\n  post,\n  DEFAULT_MAX_TOKENS,\n  getMaxTokensFromList,\n  DEFAULT_CHUNKS_PER_SOURCE,\n  handleRequestError,\n  handleTimeoutError,\n} from \"./utils\";\n\nexport function _search(\n  apiKey: string,\n  proxies?: TavilyProxyOptions\n): TavilySearchFuncton {\n  return async function search(\n    query: string,\n    options: Partial<TavilySearchOptions> = {}\n  ) {\n    const {\n      searchDepth,\n      topic,\n      days,\n      maxResults,\n      includeImages,\n      includeImageDescriptions,\n      includeAnswer,\n      includeRawContent,\n      includeDomains,\n      excludeDomains,\n      timeRange,\n      chunksPerSource,\n      country,\n      timeout,\n      ...kwargs\n    } = options;\n\n    const requestTimeout = timeout ? Math.min(timeout, 120) : 60; // Max 120s, default to 60\n\n    try {\n      const response = await post(\n        \"search\",\n        {\n          query,\n          search_depth: searchDepth,\n          topic: topic,\n          days: days,\n          max_results: maxResults,\n          include_images: includeImages,\n          include_image_descriptions: includeImageDescriptions,\n          include_answer: includeAnswer,\n          include_raw_content: includeRawContent,\n          include_domains: includeDomains,\n          exclude_domains: excludeDomains,\n          time_range: timeRange,\n          chunks_per_source: chunksPerSource,\n          country: country,\n          ...kwargs,\n        },\n        apiKey,\n        proxies,\n        requestTimeout\n      );\n\n      return {\n        query,\n        responseTime: response.data.response_time,\n        images: response.data.images.map((image: any) => {\n          return {\n            url: image?.url || image,\n            description: image.description,\n          };\n        }),\n        results: response.data.results.map((result: any) => {\n          return {\n            title: result.title,\n            url: result.url,\n            content: result.content,\n            rawContent: result.raw_content,\n            score: result.score,\n            publishedDate: result.published_date,\n          };\n        }),\n        answer: response.data.answer,\n      };\n    } catch (err) {\n      if (err instanceof AxiosError) {\n        if (err.code === \"ECONNABORTED\") {\n          handleTimeoutError(requestTimeout);\n        }\n        if (err.response) {\n          handleRequestError(err.response as AxiosResponse);\n        }\n      }\n      throw new Error(\n        `An unexpected error occurred while making the request. Error: ${err}`\n      );\n    }\n  };\n}\n\nexport function _searchQNA(\n  apiKey: string,\n  proxies?: TavilyProxyOptions\n): TavilyQNASearchFuncton {\n  return async function searchQNA(\n    query: string,\n    options: TavilySearchOptions = {}\n  ) {\n    const requestTimeout = options?.timeout\n      ? Math.min(options.timeout, 120)\n      : 60; // Max 120s, default to 60\n\n    try {\n      const response = await post(\n        \"search\",\n        {\n          query,\n          search_depth: options.searchDepth ?? \"advanced\",\n          topic: options.topic,\n          days: options.days,\n          max_results: options.maxResults,\n          include_answer: true,\n          include_domains: options.includeDomains,\n          exclude_domains: options.excludeDomains,\n          chunks_per_source: options.chunksPerSource,\n        },\n        apiKey,\n        proxies,\n        requestTimeout\n      );\n\n      const answer = response.data.answer;\n\n      return answer;\n    } catch (err) {\n      if (err instanceof AxiosError) {\n        if (err.code === \"ECONNABORTED\") {\n          handleTimeoutError(requestTimeout);\n        }\n        if (err.response) {\n          handleRequestError(err.response as AxiosResponse);\n        }\n      }\n      throw new Error(\n        `An unexpected error occurred while making the request. Error: ${err}`\n      );\n    }\n  };\n}\n\nexport function _searchContext(\n  apiKey: string,\n  proxies?: TavilyProxyOptions\n): TavilyContextSearchFuncton {\n  return async function searchContext(\n    query: string,\n    options: TavilySearchOptions = {}\n  ) {\n    const timeout = options?.timeout ? Math.min(options.timeout, 120) : 60; // Max 120s, default to 60\n\n    try {\n      const response = await post(\n        \"search\",\n        {\n          query,\n          search_depth: options.searchDepth,\n          topic: options.topic,\n          days: options.days,\n          max_results: options.maxResults,\n          include_domains: options.includeDomains,\n          exclude_domains: options.excludeDomains,\n          chunks_per_source: options.chunksPerSource,\n        },\n        apiKey,\n        proxies,\n        timeout\n      );\n\n      const sources = response.data?.results || [];\n\n      const context = sources.map((source: any) => {\n        return {\n          url: source.url,\n          content: source.content,\n        };\n      });\n\n      return JSON.stringify(\n        getMaxTokensFromList(context, options.maxTokens ?? DEFAULT_MAX_TOKENS)\n      );\n    } catch (err) {\n      if (err instanceof AxiosError) {\n        if (err.code === \"ECONNABORTED\") {\n          handleTimeoutError(timeout);\n        }\n        if (err.response) {\n          handleRequestError(err.response as AxiosResponse);\n        }\n      }\n      throw new Error(\n        `An unexpected error occurred while making the request. Error: ${err}`\n      );\n    }\n  };\n}\n","import axios, { AxiosRequestConfig, AxiosResponse } from \"axios\";\nimport { encodingForModel, TiktokenModel } from \"js-tiktoken\";\nimport { TavilyProxyOptions } from \"./types\";\nimport { HttpsProxyAgent } from \"https-proxy-agent\";\n\nconst BASE_URL = \"https://api.tavily.com\";\nconst DEFAULT_MODEL_ENCODING = \"gpt-3.5-turbo\";\nexport const DEFAULT_MAX_TOKENS = 4000;\nexport const DEFAULT_CHUNKS_PER_SOURCE = 3;\n\ntype TavilyErrorData = {\n  detail: { error: string };\n};\n\nexport async function post(\n  endpoint: string,\n  body: any,\n  apiKey: string,\n  proxies?: TavilyProxyOptions,\n  timeout: number = 60\n): Promise<AxiosResponse> {\n  const url = `${BASE_URL}/${endpoint}`;\n  const headers = {\n    \"Content-Type\": \"application/json\",\n    Authorization: `Bearer ${apiKey}`,\n    \"X-Client-Source\": \"tavily-js\",\n  };\n\n  const timeoutInMillis = timeout * 1000;\n\n  const config: AxiosRequestConfig = { headers, timeout: timeoutInMillis };\n  if (proxies) {\n    if (proxies.http) {\n      config.httpAgent = new HttpsProxyAgent(proxies.http);\n    }\n    if (proxies.https) {\n      config.httpsAgent = new HttpsProxyAgent(proxies.https);\n    }\n  }\n  return axios.post(url, body, config);\n}\n\nfunction getTotalTokensFromString(\n  str: string,\n  encodingName: TiktokenModel = DEFAULT_MODEL_ENCODING\n) {\n  const encoding = encodingForModel(encodingName);\n  return encoding.encode(str).length;\n}\n\nexport function getMaxTokensFromList(\n  data: Array<any>,\n  maxTokens: number = DEFAULT_MAX_TOKENS\n): string {\n  var result = [];\n  let currentTokens = 0;\n  for (let item of data) {\n    let itemString = JSON.stringify(item);\n    let newTotalTokens = currentTokens + getTotalTokensFromString(itemString);\n    if (newTotalTokens > maxTokens) {\n      break;\n    }\n    result.push(item);\n    currentTokens = newTotalTokens;\n  }\n  return JSON.stringify(result);\n}\n\nexport function handleRequestError(res: AxiosResponse): never {\n  const status = res.status;\n  const message = (res.data as TavilyErrorData)?.detail?.error;\n\n  if (!message) {\n    throw new Error(`${status} Error: ${JSON.stringify(res.data)}`);\n  }\n\n  throw new Error(`${(res.data as TavilyErrorData)?.detail?.error}`);\n}\n\nexport function handleTimeoutError(timeout: number): never {\n  throw new Error(`Request timed out after ${timeout} seconds.`);\n}\n","import { AxiosError, AxiosResponse } from \"axios\";\nimport {\n  TavilyExtractOptions,\n  TavilyExtractFunction,\n  TavilyProxyOptions,\n} from \"./types\";\nimport { handleRequestError, handleTimeoutError, post } from \"./utils\";\n\nexport function _extract(\n  apiKey: string,\n  proxies?: TavilyProxyOptions\n): TavilyExtractFunction {\n  return async function extract(\n    urls: Array<string>,\n    options: Partial<TavilyExtractOptions> = {}\n  ) {\n    const { includeImages, extractDepth, format, timeout, ...kwargs } = options;\n\n    const requestTimeout = timeout ? Math.min(timeout, 120) : 60; // Max 120s, default to 60\n\n    try {\n      const response = await post(\n        \"extract\",\n        {\n          urls,\n          include_images: includeImages,\n          extract_depth: extractDepth,\n          format,\n          ...kwargs,\n        },\n        apiKey,\n        proxies,\n        requestTimeout\n      );\n\n      return {\n        responseTime: response.data.response_time,\n        results: response.data.results.map((result: any) => {\n          return {\n            url: result.url,\n            rawContent: result.raw_content,\n            images: result.images,\n          };\n        }),\n        failedResults: response.data.failed_results.map((result: any) => {\n          return {\n            url: result.url,\n            error: result.error,\n          };\n        }),\n      };\n    } catch (err) {\n      if (err instanceof AxiosError) {\n        if (err.code === \"ECONNABORTED\") {\n          handleTimeoutError(requestTimeout);\n        }\n        if (err.response) {\n          handleRequestError(err.response as AxiosResponse);\n        }\n      }\n      throw new Error(\n        `An unexpected error occurred while making the request. Error: ${err}`\n      );\n    }\n  };\n}\n","import {\n  TavilyCrawlOptions,\n  TavilyCrawlFunction,\n  TavilyProxyOptions,\n} from \"./types\";\nimport { post, handleRequestError, handleTimeoutError } from \"./utils\";\nimport { AxiosError, AxiosResponse } from \"axios\";\n\nexport function _crawl(\n  apiKey: string,\n  proxies?: TavilyProxyOptions\n): TavilyCrawlFunction {\n  return async function crawl(\n    url: string,\n    options: Partial<TavilyCrawlOptions> = {}\n  ) {\n    const {\n      maxDepth,\n      maxBreadth,\n      limit,\n      extractDepth,\n      selectPaths,\n      selectDomains,\n      excludePaths,\n      excludeDomains,\n      allowExternal,\n      includeImages,\n      categories,\n      instructions,\n      format,\n      timeout,\n      ...kwargs\n    } = options;\n\n    const requestTimeout = timeout ? Math.min(timeout, 120) : 60; // Max 120s, default to 60\n\n    try {\n      const response = await post(\n        \"crawl\",\n        {\n          url: url,\n          max_depth: maxDepth,\n          max_breadth: maxBreadth,\n          limit,\n          extract_depth: extractDepth,\n          select_paths: selectPaths,\n          select_domains: selectDomains,\n          exclude_paths: excludePaths,\n          exclude_domains: excludeDomains,\n          allow_external: allowExternal,\n          include_images: includeImages,\n          categories,\n          instructions,\n          format,\n          ...kwargs,\n        },\n        apiKey,\n        proxies,\n        requestTimeout\n      );\n\n      return {\n        responseTime: response.data.response_time,\n        baseUrl: response.data.base_url,\n        results: response.data.results.map((item: any) => {\n          return {\n            url: item.url,\n            rawContent: item.raw_content,\n            images: item.images,\n          };\n        }),\n      };\n    } catch (err) {\n      if (err instanceof AxiosError) {\n        if (err.code === \"ECONNABORTED\") {\n          handleTimeoutError(requestTimeout);\n        }\n        if (err.response) {\n          handleRequestError(err.response as AxiosResponse);\n        }\n      }\n      throw new Error(\n        `An unexpected error occurred while making the request. Error: ${err}`\n      );\n    }\n  };\n}\n","import {\n  TavilyMapOptions,\n  TavilyMapFunction,\n  TavilyProxyOptions,\n} from \"./types\";\nimport { post, handleRequestError, handleTimeoutError } from \"./utils\";\nimport { AxiosError, AxiosResponse } from \"axios\";\n\nexport function _map(\n  apiKey: string,\n  proxies?: TavilyProxyOptions\n): TavilyMapFunction {\n  return async function map(\n    url: string,\n    options: Partial<TavilyMapOptions> = {}\n  ) {\n    const {\n      maxDepth,\n      maxBreadth,\n      limit,\n      selectPaths,\n      selectDomains,\n      excludePaths,\n      excludeDomains,\n      allowExternal,\n      categories,\n      instructions,\n      timeout,\n      ...kwargs\n    } = options;\n\n    const requestTimeout = timeout ? Math.min(timeout, 120) : 60; // Max 120s, default to 60\n\n    try {\n      const response = await post(\n        \"map\",\n        {\n          url: url,\n          max_depth: maxDepth,\n          max_breadth: maxBreadth,\n          limit,\n          select_paths: selectPaths,\n          select_domains: selectDomains,\n          exclude_paths: excludePaths,\n          exclude_domains: excludeDomains,\n          allow_external: allowExternal,\n          categories,\n          instructions,\n          ...kwargs,\n        },\n        apiKey,\n        proxies,\n        requestTimeout\n      );\n\n      return {\n        responseTime: response.data.response_time,\n        baseUrl: response.data.base_url,\n        results: response.data.results,\n      };\n    } catch (err) {\n      if (err instanceof AxiosError) {\n        if (err.code === \"ECONNABORTED\") {\n          handleTimeoutError(requestTimeout);\n        }\n        if (err.response) {\n          handleRequestError(err.response as AxiosResponse);\n        }\n      }\n      throw new Error(\n        `An unexpected error occurred while making the request. Error: ${err}`\n      );\n    }\n  };\n}\n","import { TavilyClientOptions, TavilyClient, TavilyProxyOptions } from \"./types\";\nimport { _search, _searchQNA, _searchContext } from \"./search\";\nimport { _extract } from \"./extract\";\nimport { _crawl } from \"./crawl\";\nimport { _map } from \"./map\";\n\nexport function tavily(options?: TavilyClientOptions): TavilyClient {\n  const apiKey = options?.apiKey || process.env.TAVILY_API_KEY;\n  const proxies = (() => {\n    const http = options?.proxies?.http || process.env.TAVILY_HTTP_PROXY;\n    const https = options?.proxies?.https || process.env.TAVILY_HTTPS_PROXY;\n\n    const result = {} as TavilyProxyOptions;\n\n    if (http) result.http = http;\n    if (https) result.https = https;\n\n    return Object.keys(result).length > 0 ? result : undefined;\n  })();\n\n  if (!apiKey) {\n    throw new Error(\n      \"No API key provided. Please provide the api_key attribute or set the TAVILY_API_KEY environment variable.\"\n    );\n  }\n\n  return {\n    search: _search(apiKey, proxies),\n    extract: _extract(apiKey, proxies),\n    searchQNA: _searchQNA(apiKey, proxies),\n    searchContext: _searchContext(apiKey, proxies),\n    crawl: _crawl(apiKey, proxies),\n    map: _map(apiKey, proxies),\n  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