Python and TS Cheat Sheets

from exa_py import Exa

# instantiate the Exa client
exa = Exa()

# basic search
results = exa.search("This is an Exa query:")

# search with highlights (recommended for agentic workflows)
results = exa.search("This is an Exa query:", contents={"highlights": True})

# search with date filters
results = exa.search("This is an Exa query:", start_published_date="2019-01-01", end_published_date="2019-01-31")

# search with domain filters
results = exa.search("This is an Exa query:", include_domains=["www.cnn.com", "www.nytimes.com"])

# search with custom contents options
results = exa.search(
    "This is an Exa query:",
    contents={
        "text": {"include_html_tags": True, "max_characters": 1000},
        "highlights": {"query": "This is the highlight query:"},
    },
)



# get text contents
results = exa.get_contents(["ids"])

# get highlights
results = exa.get_contents(["ids"], highlights=True)

# get contents with contents options
results = exa.get_contents(["ids"],
                           text={"include_html_tags": True, "max_characters": 1000},
                           highlights={"query": "This is the highlight query:"})

# basic answer
response = exa.answer("This is a query to answer a question")

# answer with full text
response = exa.answer("This is a query to answer a question", text=True)

# answer with streaming
response = exa.stream_answer("This is a query to answer:")

# Print each chunk as it arrives when using the stream_answer method
for chunk in response:
  print(chunk, end='', flush=True)

import Exa from 'exa-js';

// Instantiate the Exa client
const exa = new Exa();

// Basic search
const basicResults = await exa.search("This is an Exa query:");

// Search with highlights (recommended for agentic workflows)
const highlightResults = await exa.search("This is an Exa query:", {
  contents: { highlights: true }
});

// Search with date filters
const dateFilteredResults = await exa.search("This is an Exa query:", {
  startPublishedDate: "2019-01-01",
  endPublishedDate: "2019-01-31"
});

// Search with domain filters
const domainFilteredResults = await exa.search("This is an Exa query:", {
  includeDomains: ["www.cnn.com", "www.nytimes.com"]
});

// Search with custom contents options
const customContentsResults = await exa.search("This is an Exa query:", {
  contents: {
    text: { includeHtmlTags: true, maxCharacters: 1000 },
    highlights: { query: "This is the highlight query:" }
  }
});

// Get text contents
const textContentsResults = await exa.getContents(["ids"]);

// Get highlights
const highlightsContentsResults = await exa.getContents(["ids"], {
  highlights: true
});

// Get contents with contents options
const customGetContentsResults = await exa.getContents(["ids"], {
  text: { includeHtmlTags: true, maxCharacters: 1000 },
  highlights: { query: "This is the highlight query:" }
});

// Get answer to a question with citation contents
const answerWithTextResults = await exa.answer("What is the population of New York City?", {
  text: true
});

// Get answer to a question with streaming
for await (const chunk of exa.streamAnswer("What is the population of New York City?")) {
  if (chunk.content) {
    process.stdout.write(chunk.content);
  }
  if (chunk.citations) {
    console.log("\nCitations:", chunk.citations);
  }
}