next-gen-ui-agent 0.4.0

Empower your UI by AI Agent

Next Gen UI Core Functionality

This module is part of the Next Gen UI Agent project.

This module contains UI Agent Core functionality and frameworks.

Provides

• NextGenUIAgent providing agent configuration and methods for individual processing steps
• NextGenUIAgent produced UI Data Blocks
  • LLM selected and configured dynamic components
    • Supported components: one-card, image, video-player, set-of-cards, table, chart-bar, chart-line, chart-pie, chart-donut, chart-mirrored-bar
  • Hand Build Components
  • Extensible framework for "data transformation" step per dynamic component
• Plugable "UI renderer" framework for UI components rendering
  • Default json renderer used to send definitions to client-side renderers
• Pluggable and configurable "Input Data Transformation" framework
  • Provided transformers: json, yaml, csv-comma, csv-semicolon, csv-tab, fwctable, noop
• Abstraction of the LLM inference
  • InferenceBase inference interface used by UI Agent
  • LangChainModelInference inference implementation using LangChain chat_models
  • ProxiedAnthropicVertexAIInference inference implementation to call Anthropic/Claude models from proxied Google Vertex AI API endpoint
  • reusable inference provider builder from commandline arguments/env variables, used by all AI protocol servers

Installation

pip install -U next_gen_ui_agent

Interface usage

from next_gen_ui_agent import NextGenUIAgent

inference = # any AI framework inference

agent = NextGenUIAgent(
    inference=LlamaStackInference(model="ollama:llama3.2"),
)

# API is not very friendly ATM, as you have to call methods for individual processing steps. We plan to improve it iit the near future.

Links

• Documentation
• Source Codes
• Contributing