How does the skill handle safety settings?

It provides patterns to configure HarmCategory and HarmBlockThreshold for categories like hate speech and harassment, ensuring content remains within safety bounds.

Why is client reuse emphasized in the patterns?

Initializing the Vertex AI client once as a singleton or module-level instance avoids the performance overhead of creating new connections for every individual request.

What models does this Vertex AI skill support?

It is optimized for the Gemini family on Vertex AI, including Gemini 2.0 Flash, Gemini 1.5 Pro, and Gemini 1.5 Flash.

Does it support automatic tool execution?

Yes, it provides an integration pattern for an automatic function execution loop that handles tool calls and returns results to the model.

Can I use this for real-time streaming applications?

Yes, the skill includes specific async streaming patterns that handle chunks and errors to provide a smooth 'typing' effect for users.

Vertex AI SDK Patterns

Name: Vertex AI SDK Patterns
Author: Agentient

byAgentient

0•

데이터 과학 및 ML

Configures and implements Google Vertex AI SDK patterns for Gemini models including safety settings, streaming, and function calling.

This skill provides standardized implementation patterns for integrating Google's Vertex AI SDK with Gemini models, offering production-grade guidance on client initialization, model parameter tuning, and safety configurations. It enables developers to implement robust AI features such as asynchronous streaming, multi-turn function calling, and regional endpoint management, ensuring high performance, compliance, and reliability in enterprise-level generative AI environments.

주요 기능

01Standardized model initialization and client reuse patterns to minimize overhead

02Comprehensive safety configurations with granular harm category thresholds

03Advanced function calling and tool execution loops for autonomous agents

04Async streaming implementation patterns for real-time, low-latency responses

050 GitHub stars

06Fine-grained control over generation parameters like temperature, top_p, and top_k

사용 사례

01Implementing strict safety guardrails for enterprise-facing generative AI apps

02Building production-ready AI agents integrated with Google Cloud Platform

03Creating interactive chat interfaces with real-time streaming capabilities

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit vertex-ai-sdk

For use in Claude.ai and ChatGPT

Download Skill