Tavily Get Research Tool

The TavilyGetResearchTool lets CrewAI agents check an existing Tavily research task by request_id. Use it when a research task was started earlier and you need to retrieve its current status or final results.

If you need to start a new research job, use the Tavily Research Tool. This tool is specifically for looking up an existing Tavily research request after you already have its request_id.

Installation

To use the TavilyGetResearchTool, install the tavily-python library alongside crewai-tools:

uv add 'crewai[tools]' tavily-python

Environment Variables

Set your Tavily API key:

export TAVILY_API_KEY='your_tavily_api_key'

Get an API key at https://app.tavily.com/ (sign up, then create a key).

Example Usage

from crewai_tools import TavilyGetResearchTool

tavily_get_research_tool = TavilyGetResearchTool()

status_result = tavily_get_research_tool.run(
    request_id="your-research-request-id"
)

print(status_result)

Common Workflow

Use TavilyGetResearchTool when your application or another service has already created a Tavily research task and saved its request_id.

Typical cases include:

• Polling for completion after kicking off research in a background job.
• Looking up the latest status of a long-running research task.
• Fetching final research output from a previously created Tavily request.

Configuration Options

The TavilyGetResearchTool accepts the following argument when calling the run method:

• request_id (str): Required. The existing Tavily research request ID to retrieve.

Async Usage

Use _arun when your application is already running inside an async event loop:

from crewai_tools import TavilyGetResearchTool

tavily_get_research_tool = TavilyGetResearchTool()

status_result = await tavily_get_research_tool._arun(
    request_id="your-research-request-id"
)

Features

• Research status retrieval: Fetch the current status of an existing Tavily research task.
• Result retrieval: Return available research output once Tavily has completed the task.
• Sync and async: Use either _run/run or _arun depending on your application’s runtime.
• JSON output: Returns Tavily responses as formatted JSON strings.

Response Format

The tool returns a JSON string containing the current research task status and any available results from Tavily. The exact response shape depends on the task state returned by Tavily, so incomplete tasks may return status information before the final research output is available.

Refer to the Tavily API documentation for full details on the Research API.