Tag

#Gemini API

6 articles

Google Deepmind adds background execution and MCP support to Gemini API managed agents

Google DeepMind enhances its Gemini API Managed Agents with background execution, MCP support, and custom function capabilities.

Jul 844

Expanding Managed Agents in Gemini API: background tasks, remote MCP and more

Google expands Gemini API Managed Agents with background task execution and remote MCP support, enhancing AI automation capabilities for enterprise use.

Jul 719

Reduce friction and latency for long-running jobs with Webhooks in Gemini API

Google's Gemini API now supports webhooks to reduce latency and friction for long-running AI jobs. The feature eliminates the need for constant polling and improves efficiency for complex AI workloads.

May 947

How to Combine Google Search, Google Maps, and Custom Functions in a Single Gemini API Call With Context Circulation, Parallel Tool IDs, and Multi-Step Agentic Chains

Learn how the new Gemini API updates allow developers to combine Google Search, Maps, and custom functions in a single API call, making AI applications more powerful and efficient.

Apr 783

New ways to balance cost and reliability in the Gemini API

Google introduces new Gemini API features to help developers balance cost and reliability in AI deployments. The updates include dynamic scaling and enhanced SLA options for more flexible resource management.

Apr 280

Google Deepmind upgrades Gemini API with multi-tool chaining and context circulation

Google DeepMind has upgraded its Gemini API with multi-tool chaining and context circulation, enabling developers to combine tools and access Google Maps data more efficiently.

Mar 1886