[Request] 1. API Call: q=Riccardo Carlesso
To change query's use ?q=blah. Example: q=Verona, q=Bologna, q=Global Warming, q=United Kingdom, q=Donald Trump, q=Riccardo Carlesso, q=Ruby Day, q=Cyprus, q=Malta, ..
Here is the request built by langchainrb's NewsRetriever tool:
I, [2024-05-24T18:31:54.143965 #2273497] INFO -- : [Langchain.rb] [Langchain::Tool::NewsRetriever]: Retrieving all news
API Result ("BFJ"):
Status (from JSON): ok
Total results (from JSON): 1
[Response] 2. API results: First Article
author: Renato Losio
title: From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response
description: A recent article by Google Cloud SREs describes how they use the AI-powered Gemini CLI internally to resolve real-world outages. This approach improves reliability in critical infrastructure operations and reduces incident response time by integrating intelli…
url: https://www.infoq.com/news/2026/02/google-sre-gemini-cli-outage/
urlToImage: https://res.infoq.com/news/2026/02/google-sre-gemini-cli-outage/en/headerimage/generatedHeaderImage-1770021438197.jpg
publishedAt: 2026-02-14T11:32:00Z
content: A recent article by Google Cloud SREs describes how they use the AI-powered Gemini CLI internally to resolve real-world outages. This approach improves reliability in critical infrastructure operatio… [+3530 chars]
[Response] 3. API results from NewsCatcher: reassembled from JSON
From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response
A recent article by Google Cloud SREs describes how they use the AI-powered Gemini CLI internally to resolve real-world outages. This approach improves reliability in critical infrastructure operations and reduces incident response time by integrating intelli…
A recent article by Google Cloud SREs describes how they use the AI-powered Gemini CLI internally to resolve real-world outages. This approach improves reliability in critical infrastructure operatio… [+3530 chars]
Note. This CSS was created by Gemini Ultra. We're taking all the ingredients from JSON artifact and building it back into a nice tailwind card.
The fields provided by the JSON result (first article to be specific) are: ["source", "author", "title", "description", "url", "urlToImage", "publishedAt", "content"]