{"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 = {}\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: ${err}`\n );\n }\n };\n}\n","import axios, { AxiosRequestConfig, AxiosResponse } from \"axios\";\nimport { encodingForModel, TiktokenModel } from \"js-tiktoken\";\nimport { TavilyProxyOptions } from \"./types\";\nimport { HttpsProxyAgent } from \"https-proxy-agent\";\n\nconst BASE_URL = \"https://api.tavily.com\";\nconst DEFAULT_MODEL_ENCODING = \"gpt-3.5-turbo\";\nexport const DEFAULT_MAX_TOKENS = 4000;\nexport const DEFAULT_CHUNKS_PER_SOURCE = 3;\n\ntype TavilyErrorData = {\n detail: { error: string };\n};\n\nexport async function post(\n endpoint: string,\n body: any,\n apiKey: string,\n proxies?: TavilyProxyOptions,\n timeout: number = 60\n): Promise {\n const url = `${BASE_URL}/${endpoint}`;\n const headers = {\n \"Content-Type\": \"application/json\",\n Authorization: `Bearer ${apiKey}`,\n \"X-Client-Source\": \"tavily-js\",\n };\n\n const timeoutInMillis = timeout * 1000;\n\n const config: AxiosRequestConfig = { headers, timeout: timeoutInMillis };\n if (proxies) {\n if (proxies.http) {\n config.httpAgent = new HttpsProxyAgent(proxies.http);\n }\n if (proxies.https) {\n config.httpsAgent = new HttpsProxyAgent(proxies.https);\n }\n }\n return axios.post(url, body, config);\n}\n\nfunction getTotalTokensFromString(\n str: string,\n encodingName: TiktokenModel = DEFAULT_MODEL_ENCODING\n) {\n const encoding = encodingForModel(encodingName);\n return encoding.encode(str).length;\n}\n\nexport function getMaxTokensFromList(\n data: Array,\n maxTokens: number = DEFAULT_MAX_TOKENS\n): string {\n var result = [];\n let currentTokens = 0;\n for (let item of data) {\n let itemString = JSON.stringify(item);\n let newTotalTokens = currentTokens + getTotalTokensFromString(itemString);\n if (newTotalTokens > maxTokens) {\n break;\n }\n result.push(item);\n currentTokens = newTotalTokens;\n }\n return JSON.stringify(result);\n}\n\nexport function handleRequestError(res: AxiosResponse): never {\n const status = res.status;\n const message = (res.data as TavilyErrorData)?.detail?.error;\n\n if (!message) {\n throw new Error(`${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,\n options: Partial = {}\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 = {}\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 = {}\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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