What problem does it solve?
Developers building generative AI agents on the Gemini Enterprise Agent Platform face the challenge of implementing persistent conversation state, handling real-time streaming, integrating external tools, and generating structured outputs without managing low-level API details or dealing with deprecated SDK and model versions.
Core Features & Use Cases
- Stateful Multi-Turn Conversations: Maintain persistent conversation context across multiple user interactions without manual state management.
- Real-Time Streaming & Structured Output: Deliver partial responses to users as content generates, and retrieve type-safe JSON responses matching custom schemas.
- Function Calling for Agentic Workflows: Integrate external tools and services to enable agents to complete complex, multi-step tasks autonomously.
- Use Case: A developer building a customer support agent can use this skill to implement multi-turn troubleshooting conversations, stream responses to users in real time, and pull order status data from internal databases via function calling to resolve user queries.
Quick Start
Use the gemini-interactions-api skill to build a stateful customer support agent that streams responses and uses function calling to retrieve user order status from an internal database.