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Search the web

Reading Pages

Cascade

Web and Docs Search

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Search the web and documentation directly from Cascade using @web and @docs mentions, URL parsing, and real-time context from web pages.

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Cascade can now intuitively parse through and chunk up web pages and documentation, providing real-time context to the models. The key way to understand this feature is that Cascade will browse the Internet as a human would.Our web tools are designed in such a way that gets only the information that is necessary in order to efficiently use your credits.The Devin Local agent has its own web fetch and search tools, governed by the Devin CLI permission system.

Overview
To help you better understand how Web Search works, we’ve recorded a short video covering the key concepts and best practices.

Quick Start
The fastest way to get started is to activate web search in your Devin Settings in the bottom right corner of the editor. You can activate it a couple of different ways:
Ask a question that probably needs the Internet (i.e., “What’s new in the latest version of React?”).

Use @web to force a docs search.

Use @docs to query over a list of docs that we are confident we can read with high quality.

Paste a URL into your message.

Search the web
Cascade can deduce that certain prompts from the user may require a real-time web search to provide the optimal response. In these cases, Cascade will perform a web search and provide the results to the user. This can happen automatically or manually using the @web mention.

The Enable Web Search admin setting controls whether Cascade can perform web searches on the open Internet. It does not affect Cascade’s ability to read specific URLs (see Reading Pages below), which is performed locally on the user’s machine.

Reading Pages
Cascade can read individual pages for things like documentation, blog posts, and GitHub files. The page reads happen entirely on your device within your network so if you’re using a VPN you shouldn’t have any problems.Pages are picked up either from web search results, inferred based on the conversation, or from URLs pasted directly into your message.We break pages up into multiple chunks, very similar to how a human would read a page: for a long page we skim to the section we want then read the text that’s relevant. This is how Cascade operates as well.

It’s worth noting that not all pages can be parsed. We are actively working on improving the quality of our website reading. If you have specific sites you’d like us to handle better, feel free to file a feature request!

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