Build Production-Ready Resilient AI Agents Using Durable Execution
Use Durable Execution to ensure multi-step AI agents complete successfully.
Integrate Gemini with a Durable Execution platform like Temporal to build resilient AI agents that can survive network failures and server crashes.
The Scenario
You are building an AI agent that performs multi-step reasoning or long-running video generation that might take an hour to complete.
Before & after
Engineers write custom retry logic, state persistence, and error handling code to manage multi-step AI tasks, taking several hours or days to get right.
Build your agent using Gemini 2.5 Flash with Temporal for orchestration. The AI manages the logic while the platform ensures the task completes despite glitches in 5 minutes of setup.
The Prompt
Explain how to implement a retry policy for a Gemini 2.5 Pro API call within a Temporal workflow to handle transient network errors.
Moving from a demo to production requires handling transient failures. Use a 'Durable Execution' platform like Temporal to wrap your Gemini API calls, ensuring long-running AI agents (like video generators) can recover from network hiccups or rate limits.
Source
Release notes | Gemini API | Google AI for Developers"Temporal provides the resiliency and reliability necessary to orchestrate these complex AI workflows."