or a summary. But the instruction says

. We'll translate the text inside. Also note the market snapshot div is before the article? Actually the content includes that div and then the article. We need to output the content as a whole? The JSON has "content" which should be the translated HTML content. We'll include the entire translated HTML, preserving the structure. Now, for the meta description, since it's empty, we can set it to an empty string, but the instruction says "Translated meta description in Russian" - maybe we should create one based on the article. I'll create a concise summary: "Gemini расширяет Managed Agents API, добавляя фоновые задачи и поддержку удаленного MCP для разработчиков автономных торговых агентов." That's a reasonable meta description. Now, output JSON with title, content, and meta. Make sure to escape quotes and special characters in JSON. Also, the content has HTML with double quotes, we need to escape them properly in JSON string. We'll use double quotes for JSON keys and string values, and escape inner double quotes with backslash. Let's construct the translated content. We'll keep the exact HTML structure and styles. The div has inline styles, we keep them unchanged. Only translate text nodes. So the market snapshot div:

📊 Market Data Snapshot

24h Change

+1.00%

7d Change

+2.00%

Fear & Greed

41 Fear

Sentiment

⚪ neutral

Bitcoin (BTC): $64,744 Rank #1

We need to translate the text inside. Let's do it: - "📊 Market Data Snapshot" -> "📊 Обзор рыночных данных" (or "Снимок рынка" but I think "Обзор рыночных данных" is good) - "24h Change" -> "Изменение за 24ч" - "7d Change" -> "Изменение за 7д" - "Fear & Greed" -> "Страх и жадность" (keep the ampersand? In Russian we use "и") - "Fear" -> "Страх" - "Sentiment" -> "Настроение" - "neutral" -> "нейтральное" - "Bitcoin (BTC):" -> "Биткоин (BTC):" - "Rank #1" -> "Ранг №1" or "Место #1" but "Rank" is often "Ранг" or "Позиция". I'll use "Ранг №1". Now the article:

Gemini has expanded its Managed Agents API, adding background tasks and remote MCP support for developers building autonomous trading and data agents. The update, announced this week, looks routine on the surface. The remote MCP piece, though, signals where the exchange is placing its bet: AI agents that talk to markets directly.

What the update adds

Managed Agents, which Gemini has been building out as its API layer for autonomous workflows, now supports background tasks. That means agents