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JavaScript library for Tavily.","maintainers":[{"name":"konstantintzt","email":"tzantchev@ucla.edu"},{"name":"guyhartstein","email":"guyh2020@gmail.com"},{"name":"manisrinivasan2k1","email":"mani.srinivasan@tavily.com"},{"name":"tomer-yaacoby","email":"tomer.yaacoby@tavily.com"},{"name":"parakhjaggi","email":"parakhjaggi@gmail.com"},{"name":"yashbtavily","email":"yash.bhandare@nebius.com"},{"name":"mayramati","email":"may@tavily.com"},{"name":"yashwanth-alapati","email":"yashwanth.alapati@tavily.com"}],"readme":"# Tavily JavaScript SDK\n\nTavily's JavaScript SDK allows for easy interaction with the Tavily API, offering the full range of our search, extract, crawl, map, and research functionalities directly from your JavaScript and TypeScript programs. Easily integrate smart search, content extraction, and research capabilities into your applications, harnessing Tavily's powerful features.\n\n## Installing\n\n```bash\nnpm i @tavily/core\n```\n\n# Tavily Search\n\nConnect your LLM to the web using the Tavily Search API. Tavily Search is a powerful search engine tailored for use by LLMs in agentic applications.\n\n## Usage\n\nBelow is a simple code snippet that shows you how to use Tavily Search. The different steps and components of this code are explained in more detail on the JavaScript [API Reference](https://docs.tavily.com/sdk/get-started/javascript) page.\n\n```javascript\nconst { tavily } = require(\"@tavily/core\");\n\n// Step 1. Instantiating your Tavily client\nconst tvly = tavily({ apiKey: \"tvly-YOUR_API_KEY\" });\n\n// Step 2. Executing a simple search query\nconst response = await tvly.search(\"Who is Leo Messi?\");\n\n// Step 3. That's it! You've done a Tavily Search!\nconsole.log(response);\n```\n\n### Using exact match to find specific names or phrases\n\n```javascript\nconst { tavily } = require(\"@tavily/core\");\n\nconst tvly = tavily({ apiKey: \"tvly-YOUR_API_KEY\" });\n\n// Use exactMatch: true to only return results containing the exact phrase(s) inside quotes\nconst response = await tvly.search('\"John Smith\" CEO Acme Corp', {\n  exactMatch: true,\n});\nconsole.log(response);\n```\n\n### Keyless mode\n\nYou can try Tavily without an API key. When `apiKey` is omitted (and the\n`TAVILY_API_KEY` environment variable is not set), the client runs in\n**keyless mode**: `search` and `extract` are available with a shared rate\nlimit, and the other methods throw an error directing you to provide a key.\n\n```javascript\nconst { tavily, TavilyKeylessLimitError } = require(\"@tavily/core\");\n\n// No apiKey — keyless mode\nconst tvly = tavily();\n\ntry {\n  const response = await tvly.search(\"Who is Leo Messi?\");\n  console.log(response);\n} catch (err) {\n  if (err instanceof TavilyKeylessLimitError) {\n    // Rate-limit cap hit. Inspect structured fields to decide what to do next.\n    console.log(\"cap:\", err.capType);\n    console.log(\"retry after:\", err.retryAfter);\n    console.log(\"bonus eligible:\", err.bonusEligible);\n    console.log(\"continuation options:\", err.continuationPaths);\n  } else {\n    throw err;\n  }\n}\n```\n\n> To learn more about the different parameters, head to our [JavaScript API Reference](https://docs.tavily.com/sdk/reference/javascript).\n\n# Tavily Extract\n\nThe Tavily Extract API allows you to effortlessly retrieve raw content from a list of websites, making it ideal for data collection, content analysis, and research. You can also combine Tavily Extract with our Search method: first, obtain a list of relevant documents, then perform further processing on selected links to gather additional information and use it as context for your research tasks.\n\n## Usage\n\nBelow is a simple code snippet demonstrating how to use Tavily Extract. The different steps and components of this code are explained in more detail on the JavaScript [API Reference](https://docs.tavily.com/docs/javascript-sdk/tavily-extract/api-reference) page.\n\n```javascript\nconst { tavily } = require(\"@tavily/core\");\n\n// Step 1. Instantiating your TavilyClient\nconst tvly = tavily({ apiKey: \"tvly-YOUR_API_KEY\" });\n\n// Step 2. Defining the list of URLs to extract content from\nconst urls = [\n  \"https://en.wikipedia.org/wiki/Artificial_intelligence\",\n  \"https://en.wikipedia.org/wiki/Machine_learning\",\n  \"https://en.wikipedia.org/wiki/Data_science\",\n  \"https://en.wikipedia.org/wiki/Quantum_computing\",\n  \"https://en.wikipedia.org/wiki/Climate_change\",\n]; // You can provide up to 20 URLs simultaneously\n\n// Step 3. Executing the extract request\nresponse = await tvly.extract(urls);\n\n// Step 4. Printing the extracted raw content\nfor (let result of response.results) {\n  console.log(`URL: ${result.url}`);\n  console.log(`Raw Content: ${result.rawContent}\\n`);\n}\n// Note that URLs that could not be extracted will be stored in response.failedResults\n```\n\n> To learn more about the different parameters, head to our [JavaScript API Reference](https://docs.tavily.com/sdk/reference/javascript).\n\n# Tavily Crawl\n\nTavily Crawl is an agent‐first site explorer that leverages breadth‐first crawling to navigate websites. It uses natural-language goals to intelligently uncover deeply buried “needle-in-a-haystack” information or perform high-volume data retrieval across an entire site.\n\n## Usage\n\nBelow is a simple code snippet demonstrating how to use Tavily Crawl. The different steps and components of this code are explained in more detail on the JavaScript [API Reference](https://docs.tavily.com/docs/javascript-sdk/tavily-crawl/api-reference) page.\n\n```javascript\nconst { tavily } = require(\"@tavily/core\");\n\n// Step 1. Instantiating your Tavily client\nconst tvly = tavily({ apiKey: \"tvly-YOUR_API_KEY\" });\n\n// Step 2. Defining the starting URL to crawl\nconst start_url = \"https://wikipedia.org/wiki/Lemon\";\n\n// Step 3. Executing the crawl request with instructions to surface only pages about citrus fruits\nresponse = await tvly.crawl(start_url, {\n  max_depth: 3,\n  limit: 50,\n  instructions: \"Find all pages on citrus fruits\",\n});\n\n// Step 4. Printing pages matching the query\nfor (let result of response.results) {\n  console.log(`URL: ${result.url}`);\n  console.log(`Raw Content: ${result.rawContent.substring(0, 200)}...`);\n}\n```\n\n# Tavily Map\n\nMap lets you discover and visualize the structure of a website starting from a base URL.\n\n## Usage\n\nBelow are some code snippets that demonstrate how to interact with our Map API. Each step and component of this code is explained in greater detail in the API Methods section below.\n\n### Mapping a website with instructions\n\n```javascript\nconst { tavily } = require(\"@tavily/core\");\n\n// Step 1. Instantiating your Tavily client\nconst tvly = tavily({ apiKey: \"tvly-YOUR_API_KEY\" });\n\n// Step 2. Defining the starting URL\nconst start_url = \"https://wikipedia.org/wiki/Lemon\";\n\n// Step 3. Executing the map request with parameters to focus on specific pages\nresponse = await tvly.map(start_url, {\n  max_depth: 3,\n  limit: 50,\n  instructions: \"Find all pages on citrus fruits\",\n});\n\n// Step 4. Printing the site structure\nfor (let url of response.results) {\n  console.log(`URl: ${url}`);\n}\n```\n\n> To learn more about the different parameters, head to our [JavaScript API Reference](https://docs.tavily.com/sdk/reference/javascript).\n\n# Tavily Research\n\nResearch lets you create comprehensive research reports on any topic, with automatic source gathering, analysis, and structured output.\n\n## Usage\n\nBelow are some code snippets that demonstrate how to interact with our Research API. Each step and component of this code is explained in greater detail in the API Methods section below.\n\n### Creating a research task and retrieving results\n\n```javascript\nconst { tavily } = require(\"@tavily/core\");\n\n// Step 1. Instantiating your Tavily client\nconst tvly = tavily({ apiKey: \"tvly-YOUR_API_KEY\" });\n\n// Step 2. Creating a research task\nconst response = await tvly.research(\"Research the latest developments in AI\", {\n  model: \"pro\",\n  citationFormat: \"apa\",\n});\n\n// Step 3. Retrieving the research results\nconst requestId = response.requestId;\nconst result = await tvly.getResearch(requestId);\n\n// Step 4. Printing the research report\nconsole.log(`Status: ${result.status}`);\nconsole.log(`Content: ${result.content}`);\nconsole.log(`Sources: ${result.sources.length} sources found`);\n```\n\n### Research credit usage\n\n```javascript\nconst { tavily } = require(\"@tavily/core\");\nconst tvly = tavily({ apiKey: \"tvly-YOUR_API_KEY\" });\nconst result = await tvly.getResearch(\"YOUR_REQUEST_ID\", { includeUsage: true });\nconsole.log(result.usage?.credits);\n```\n\nUsage is off by default. Some tasks have no usage data.\n\n### Streaming research results\n\n```javascript\nconst { tavily } = require(\"@tavily/core\");\n\n// Step 1. Instantiating your Tavily client\nconst tvly = tavily({ apiKey: \"tvly-YOUR_API_KEY\" });\n\n// Step 2. Creating a streaming research task\nconst stream = await tvly.research(\"Research the latest developments in AI\", {\n  model: \"pro\",\n  stream: true,\n});\n\n// Step 3. Processing the stream as it arrives\nfor await (const chunk of result as AsyncGenerator<Buffer, void, unknown>) {\n    console.log(\"Received chunk:\", chunk.toString('utf-8'));\n}\n```\n\n> To learn more about the different parameters, head to our [JavaScript API Reference](https://docs.tavily.com/sdk/reference/javascript).\n\n# Tavily Feedback\n\nFeedback lets you report on how useful a search request or session was, so Tavily can improve result quality over time.\n\n## Usage\n\nBelow is a code snippet that demonstrates how to submit feedback. Each step and component of this code is explained in greater detail in the API Methods section below.\n\n### Scoring a search request\n\n```javascript\nconst { tavily } = require(\"@tavily/core\");\n\nconst tvly = tavily({ apiKey: \"tvly-YOUR_API_KEY\" });\n\nconst response = await tvly.search(\"Latest AI developments\");\n\n// An agent scores its own search call — honestly, per result, not one flat number\nawait tvly.feedback({\n  requestId: response.requestId,\n  agentScore: 0.7,\n  urlsScores: [\n    { id: response.results[0].id, agentScore: 0.9 },\n    { id: response.results[1].id, agentScore: 0.2, comment: \"Outdated — reports on a 2023 event\" },\n  ],\n});\n```\n\n> To learn more about the different parameters, head to our [JavaScript API Reference](https://docs.tavily.com/sdk/reference/javascript).\n\n# Additional Information\n\n## Proxies\n\nIf you want to use either client with specified HTTP or HTTPS proxies, you can do so by passing the proxies parameter as a dictionary in the format `{ http?: string, https?: string }`, where each key is optional, or by setting the `TAVILY_HTTP_PROXY` or `TAVILY_HTTPS_PROXY` environment variables.\n\n## Session & User Tracking\n\n`sessionId`, `humanId`, and `clientName` are optional identifiers that help attribute requests to a logical session, an end user, and a named client. All three are sent as HTTP headers (`X-Session-Id`, `X-Human-Id`, `X-Client-Name`) and are never persisted in raw form — `humanId` is hashed server-side.\n\nSet them once at client init, or per-call (per-call wins):\n\n```javascript\n// Client-level — applied to every request\nconst client = tavily({\n  apiKey: \"tvly-YOUR_API_KEY\",\n  sessionId: \"my-session-123\",\n  humanId: \"internal-user-id-42\",\n  clientName: \"my-app\",\n});\n\n// Per-call override\nawait client.search(\"hello\", { sessionId: \"ad-hoc-session\" });\n```\n\nAll three are opt-in. Leave them unset and the SDK sends nothing — behavior is identical to earlier versions.\n\n## Cost\n\nHead to the [API Credits Overview](https://docs.tavily.com/guides/api-credits) in our documentation to learn more about how many API Credits each request costs.\n\n## License\n\nThis project is licensed under the terms of the MIT license.\n\n## Contact\n\nIf you are encountering issues while using Tavily, please email us at [support@tavily.com](mailto:support@tavily.com). We'll be happy to help you.\n\nIf you want to stay updated on the latest Tavily news and releases, head to our [Developer Community](https://community.tavily.com) to learn more!","readmeFilename":"README.md"}