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hops-agent-deployment

Official

Deploy interactive agents as served Hopsworks deployments

Software Engineering#agent deployment#feature store#LLM workflow#KServe#Hopsworks
Authorlogicalclocks
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of deploying interactive agents, such as LlamaIndex programs, as served Hopsworks deployments, streamlining the process for real-time feature vector serving and ML workflows.

Core Features & Use Cases

  • Interactive Agent Deployment: Deploy server-only KServe deployments with no model attached.
  • Agent Scripting: Utilize entry scripts to handle requests for interactive agents and LLM workflows.
  • Feature Store Integration: Read context from the feature store for RAG (Retrieval-Augmented Generation) capabilities.
  • Git Repository Support: Deploy agents from GitHub, GitLab, or BitBucket repositories.
  • Use Case: Deploy a custom LLM agent for real-time Q&A sessions or chatbots within Hopsworks.

Quick Start

Deploy an agent by providing the entry script and specifying the name and environment.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: hops-agent-deployment
Download link: https://github.com/logicalclocks/hopsworks-api/archive/main.zip#hops-agent-deployment

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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