bidi

Explain the ADK Bidi-streaming 4-phase lifecycle with Python code examples.

32|7|Updated Jun 18, 2025

Search Tags:#agent development #ADK #Bidi-streaming #Vertex AI Live API #streaming architecture #production best practices #Gemini Live API

One-click install

npx skills add https://github.com/kazunori279/adk-streaming-guide --skill bidi

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: bidi
Source: https://github.com/kazunori279/adk-streaming-guide/tree/main/.claude/skills/bidi
Command: npx skills add https://github.com/kazunori279/adk-streaming-guide --skill bidi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users often struggle with the complexity of ADK Bidi-streaming, including its architecture, Live API integration, and production best practices. This Skill provides expert guidance to navigate these challenges, saving you significant research and development time.

Core Features & Use Cases

Expert Guidance: Get comprehensive advice on ADK architecture, streaming patterns, multimodal features, and error handling.
Live API Integration: Understand the nuances of Gemini Live and Vertex AI Live API differences and optimal integration strategies.
Production Best Practices: Learn about session management, quota planning, cost controls, and monitoring for robust, scalable deployments.
Use Case: Ask for a detailed explanation of the ADK 4-phase lifecycle with practical code examples for a FastAPI WebSocket server, ensuring your streaming agent is production-ready and efficient.

Quick Start

Explain the 4-phase lifecycle of ADK Bidi-streaming and provide a Python code snippet for handling concurrent tasks in a FastAPI WebSocket server.