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Modular, provider-agnostic AI framework for multi-model orchestration, agent workflows, and vision.

Project description


HoloAI – A modular, provider-agnostic AI framework for multi-model orchestration, agent workflows, and vision."

NOTICE: PLEASE DO NOT INSTALL VERSION 0.1.0 - 0.1.7, 0.2.4 - 0.2.6, and 0.2.9 - 0.3.1 THEY ARE NOT STABLE AND WILL BREAK YOUR PROJECT.


Overview

HoloAI is a production-grade, multi-provider orchestrator for LLM and vision models.
Supports OpenAI, Google Gemini, Groq, Grok, and Anthropic, with automatic provider inference. Built for:

  • Agents & bots
  • Workflow automation
  • Voice assistants
  • Any application needing multi-model, multi-provider intelligence

HoloAI unifies OpenAI, Google Gemini, Groq, Grok, and Anthropic: handling agents, conversation, vision, all from a single interface.


Fixes

  • Fixed response issue when using Anthropics reasoning.

New Features

  • Flexible Skills & Actions
    You can now provide both skills and actions to the model in two ways:
    • Bundled: capabilities=[skills, actions]
    • Separate: skills=skills, actions=actions

    If only actions is provided (without skills), this will result in an error.
    Skills and actions will be executed if the model chooses to call them.

  • Tool/Function calling
  • Agent support
  • Manual Provider setup (Overrides automatic provider inference using the .env file and model name)
  • Can now pass in files as well as images to the model limited only by the models max context window. (pdf, docx, txt) NOTE: images in pdf and docx files are not supported yet. and will be ignored.
  • Image generation support (xAI, OpenAI, Google)

Up Coming Features

  • Support for more file and image types

Key Features

  • Universal Provider Support: Instantly switch between OpenAI, Google Gemini, Groq, Grok, and Anthropic—no vendor lock-in.
  • Multimodal Ready: Handles text, vision, generation, out of the box.
  • Automatic Provider Inference: Just specify your model; HoloAI selects the right backend.
  • Minimal, Clean API: One interface for all major models—rapid integration.

Why HoloAI?

Most LLM wrappers lock you into a single vendor or force you to juggle multiple APIs and formats. HoloAI delivers:

  • One Framework, any provider.
  • No boilerplate, no rewrites.
  • Plug-and-play for agents, scripts, automations, or apps.

Environment

Set API keys as environment variables:

  • OPENAI_API_KEY
  • ANTHROPIC_API_KEY
  • GEMINI_API_KEY
  • GROQ_API_KEY

Only providers with keys set will be loaded.


Provider Setup (setProvider Usage)

You can configure your providers directly in code—no .env required (unless you want it).
setProvider is flexible and supports all of the following patterns:

1. Single Provider (String)

client = HoloAI()
client.setProvider('OPENAI_API_KEY=sk-xxxx')

Registers only OpenAI as a provider.


2. Multiple Providers (Tuple of Strings)

client = HoloAI()
client.setProvider((
    'OPENAI_API_KEY=sk-xxxx',
    'ANTHROPIC_API_KEY=claude-xxxx'
))

Registers OpenAI and Anthropic as providers.


3. Multiple Providers (List of Strings)

client = HoloAI()
client.setProvider([
    'OPENAI_API_KEY=sk-xxxx',
    'ANTHROPIC_API_KEY=claude-xxxx',
    'GEMINI_API_KEY=g-xxxx',
    'GROQ_API_KEY=gsk-xxxx'
])

Registers all four providers (OpenAI, Anthropic, Google, Groq).


  1. No Arguments: Use Environment Variables or .env If you want to load API keys automatically from environment variables or a .env file, you do not need to call setProvider() at all—just instantiate HoloAI:
client = HoloAI()

Any providers with API keys available in your environment will be registered automatically.


Tip: You can mix and match—use direct code for development, .env/env for production, or both. Only providers with keys will be registered and available.


Code Examples

You can find code examples on my GitHub repository.


License

This project is licensed under the Apache License, Version 2.0. Copyright 2025 Tristan McBride Sr.


Authors

  • Tristan McBride Sr.
  • Sybil

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