Web fetch tool (`web_fetch`)

This document describes the web_fetch tool for the TerminaI.

Description

Use web_fetch to summarize, compare, or extract information from web pages. The web_fetch tool processes content from one or more URLs (up to 20) embedded in a prompt. web_fetch takes a natural language prompt and returns a generated response.

Arguments

web_fetch takes one argument:

• prompt (string, required): A comprehensive prompt that includes the URL(s) (up to 20) to fetch and specific instructions on how to process their content. For example: "Summarize https://example.com/article and extract key points from https://another.com/data". The prompt must contain at least one URL starting with http:// or https://.

How to use web_fetch with the TerminaI

To use web_fetch with the TerminaI, provide a natural language prompt that contains URLs. The tool will ask for confirmation before fetching any URLs. Once confirmed, the tool will process URLs through LLM API’s urlContext.

If the LLM API cannot access the URL, the tool will fall back to fetching content directly from the local machine. The tool will format the response, including source attribution and citations where possible. The tool will then provide the response to the user.

Usage:

web_fetch(prompt="Your prompt, including a URL such as https://google.com.")

web_fetch examples

Summarize a single article:

web_fetch(prompt="Can you summarize the main points of https://example.com/news/latest")

Compare two articles:

web_fetch(prompt="What are the differences in the conclusions of these two papers: https://arxiv.org/abs/2401.0001 and https://arxiv.org/abs/2401.0002?")

Important notes

• URL processing: web_fetch relies on the LLM API’s ability to access and process the given URLs.
• Output quality: The quality of the output will depend on the clarity of the instructions in the prompt.