趋势解读：Reduce friction and latency for long-running jobs with，聚焦 Agent 工作流自动化

We're making it easier and more efficient to build complex, long-running agentic applications with the Gemini API Webhooks. Your browser does not support the audio element. Today, we're making it easier and more efficient to build complex, long-running agentic applications with the Gemini API. We are introducing event-driven Webhooks, a push-based notification system that eliminates the need for inefficient polling. As Gemini shifts toward agentic workflows and high-volume processing — like Deep Research, long video generation, or processing thousands of prompts via the Batch API — operations can take minutes or even hours. Until now, developers had to rely on continuous polling (e.g., repeatedly calling GET operations) to check if a job was completed. Now, the Gemini API can simply push a real-time HTTP POST payload to your server the instant a task finishes. We’ve built this with reliability and security in mind. Our implementation strictly adheres to the Standard Webhooks specification. Every request is signed using webhook-signature , webhook-id , and webhook-timestamp headers, ensuring idempotency and preventing replay attacks. We also guarantee "at-least-once" delivery with automatic retries for up to 24 hours. You can configure webhooks globally at the project level (secured via HMAC), or override them dynamically on a per-request basis to route specific jobs (secured via JWKS). Here's a quick example of how you can dynamically configure a webhook for a batch task using the Python SDK: This feature is available now for all developers using the Gemini API: Read the guide: Check out the Webhooks documentation to explore the full event catalog and learn how to secure your endpoints. Hands-on practice: We've prepared a comprehensive Cookbook to help you build an end-to-end integration with webhooks.