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⚡️🛰️🚀The most sought after Workflow

This template demonstrates a Proof of Concept for a ReAct AI Agent that can fetch random web pages (not limited to Wikipedia or Google search results).

At the top, there is a manual chat node connected to a LangChain ReAct Agent. The agent uses a workflow tool to access and retrieve page content.

The page content extraction process begins with converting query parameters into a JSON object, with three predefined parameters:

     
  • url – the address of the page to fetch
  •  
  • method – full or simplified view of the page content
  •  
  • maxlimit – maximum length for the retrieved page. If the content exceeds this length, an error message is returned.

Fetching page content involves several steps:

     
  1. An HTTP Request node attempts to retrieve the page content.

If the page content is successfully retrieved, post-processing steps include:

     
  1. Extracting the HTML BODY content
  2.  
  3. Removing unnecessary tags to reduce the page size
  4.  
  5. Further removing external URLs and image sources (depending on the method parameter)
  6.  
  7. Converting the remaining HTML to Markdown, further reducing length while preserving the page structure
  8.  
  9. If the content length is within the limit (default maxlimit = 70000; see CONFIG node), it is sent back to the Agent.

Note:

     
  • The HTTP Request portion can be isolated into a separate workflow.
  •  
  • Check the Workflow Tool description, which guides the agent to use a query string with multiple parameters instead of a JSON object.

If you need further assistance with rantir workflows and automations, please reach out to the community here: https://discord.gg/qwcYvMVt

To use this template, make sure you are on rantir version 2.0 or later.

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