Building production-ready generative AI: How Temporal supercharges Google's Gemini and Veo

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This post details how Temporal's Durable Execution platform is applied to build production-ready generative AI systems, specifically using Google's Gemini and Veo models for video generation. It highlights how Temporal addresses common challenges in agentic systems, such as stateful long-running processes, transient failures, costly re-runs, and visibility/debugging. The post provides a high-level architecture of a video generation system and code snippets demonstrating the use of Temporal Workflows and Activities to orchestrate calls to Gemini for scene generation and Veo for video clip creation. It emphasizes the benefits of structured output from LLMs and Temporal's automatic retry mechanisms for external API calls.