Tavily’s Search API is a search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed.Documentation Index
Fetch the complete documentation index at: https://langchain.idochub.dev/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Integration details
| Class | Package | Serializable | JS support | Version |
|---|---|---|---|---|
| TavilySearch | langchain-tavily | ✅ | ✅ |
Tool features
| Returns artifact | Native async | Return data | Pricing |
|---|---|---|---|
| ❌ | ✅ | title, URL, content snippet, raw_content, answer, images | 1,000 free searches / month |
Setup
The integration lives in thelangchain-tavily package.
Credentials
We also need to set our Tavily API key. You can get an API key by visiting this site and creating an account.Instantiation
Here we show how to instantiate an instance of the Tavily search tool. The tool accepts various parameters to customize the search. After instantiation we invoke the tool with a simple query. This tool allows you to complete search queries using Tavily’s Search API endpoint. Instantiation The tool accepts various parameters during instantiation:- max_results (optional, int): Maximum number of search results to return. Default is 5.
- topic (optional, str): Category of the search. Can be “general”, “news”, or “finance”. Default is “general”.
- include_answer (optional, bool): Include an answer to original query in results. Default is False.
- include_raw_content (optional, bool): Include cleaned and parsed HTML of each search result. Default is False.
- include_images (optional, bool): Include a list of query related images in the response. Default is False.
- include_image_descriptions (optional, bool): Include descriptive text for each image. Default is False.
- search_depth (optional, str): Depth of the search, either “basic” or “advanced”. Default is “basic”.
- time_range (optional, str): The time range back from the current date to filter results - “day”, “week”, “month”, or “year”. Default is None.
- include_domains (optional, List[str]): List of domains to specifically include. Default is None.
- exclude_domains (optional, List[str]): List of domains to specifically exclude. Default is None.
Invocation
Invoke directly with args
The Tavily search tool accepts the following arguments during invocation:query(required): A natural language search query- The following arguments can also be set during invocation :
include_images,search_depth,time_range,include_domains,exclude_domains,include_images - For reliability and performance reasons, certain parameters that affect response size cannot be modified during invocation:
include_answerandinclude_raw_content. These limitations prevent unexpected context window issues and ensure consistent results.
Invoke with ToolCall
We can also invoke the tool with a model-generated ToolCall, in which case a ToolMessage will be returned:Use within an agent
We can use our tools directly with an agent executor by binding the tool to the agent. This gives the agent the ability to dynamically set the available arguments to the Tavily search tool. In the below example when we ask the agent to find “What nation hosted the Euro 2024? Include only wikipedia sources.” the agent will dynamically set the argments and invoke Tavily search tool : Invokingtavily_search with {'query': 'Euro 2024 host nation', 'include_domains': ['wikipedia.org']