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The new Gemini interactions API unifies modern LLM requirements, moving past older stateless APIs to fully embrace agents and complex workflows. This major update simplifies multimodality and structured outputs, while offering optional server-side history to persist conversation memory. We explore using the API to call the Gemini research agent and leverage background execution for long-running inference loops.
By Build Wiz AIThe new Gemini interactions API unifies modern LLM requirements, moving past older stateless APIs to fully embrace agents and complex workflows. This major update simplifies multimodality and structured outputs, while offering optional server-side history to persist conversation memory. We explore using the API to call the Gemini research agent and leverage background execution for long-running inference loops.