1 | |
2 | type Exa = { |
3 | apiKey: string; |
4 | }; |
5 | |
6 | * Search |
7 | * Perform a search with a Exa prompt-engineered query and retrieve a list of relevant results. Optionally get contents. |
8 | */ |
9 | export async function main( |
10 | auth: Exa, |
11 | body: { |
12 | query: string; |
13 | useAutoprompt?: false | true; |
14 | type?: "keyword" | "neural" | "auto"; |
15 | category?: |
16 | | "company" |
17 | | "research paper" |
18 | | "news" |
19 | | "pdf" |
20 | | "github" |
21 | | "tweet" |
22 | | "personal site" |
23 | | "linkedin profile" |
24 | | "financial report"; |
25 | } & { |
26 | numResults?: number; |
27 | includeDomains?: string[]; |
28 | excludeDomains?: string[]; |
29 | startCrawlDate?: string; |
30 | endCrawlDate?: string; |
31 | startPublishedDate?: string; |
32 | endPublishedDate?: string; |
33 | includeText?: string[]; |
34 | excludeText?: string[]; |
35 | contents?: { |
36 | text?: |
37 | | false |
38 | | true |
39 | | { maxCharacters?: number; includeHtmlTags?: false | true }; |
40 | highlights?: { |
41 | numSentences?: number; |
42 | highlightsPerUrl?: number; |
43 | query?: string; |
44 | }; |
45 | summary?: { query?: string }; |
46 | livecrawl?: "auto" | "never" | "fallback" | "always"; |
47 | livecrawlTimeout?: number; |
48 | subpages?: number; |
49 | subpageTarget?: string | string[]; |
50 | extras?: { links?: number; imageLinks?: number }; |
51 | }; |
52 | }, |
53 | ) { |
54 | const url = new URL(`https://api.exa.ai/search`); |
55 |
|
56 | const response = await fetch(url, { |
57 | method: "POST", |
58 | headers: { |
59 | "Content-Type": "application/json", |
60 | "X-API-Key": auth.apiKey, |
61 | }, |
62 | body: JSON.stringify(body), |
63 | }); |
64 | if (!response.ok) { |
65 | const text = await response.text(); |
66 | throw new Error(`${response.status} ${text}`); |
67 | } |
68 | return await response.json(); |
69 | } |
70 |
|