neuralnode 2.1.13

Comprehensive AI Framework with 50+ LLM Providers, Advanced Agents, Chains, Memory, RAG, and 100+ Tools

NeuralNode v3.1.0

NeuralNode is a Python AI framework focused on:

• real cloud providers that are implemented
• local model execution with Transformers, Ollama, llama.cpp, and Horus
• agents, memory, and RAG
• Replica TTS and speech recognition
• Telegram integration

Install

pip install neuralnode
pip install "neuralnode[all]"

Useful extras:

pip install "neuralnode[horus]"
pip install "neuralnode[telegram]"
pip install "neuralnode[replica]"
pip install "neuralnode[speech]"
pip install "neuralnode[turboquant]"

Quick Start

import neuralnode as nn

ai = nn.NeuralNode(
    provider="groq",
    model="llama-3.1-70b-versatile",
    api_key="YOUR_GROQ_API_KEY",
)

print(ai.chat("Hello from NeuralNode"))

Horus

All Horus models use:

• unified chat template: horus_unified
• unified context window: 8192

Horus downloads are public-only. Private or gated Hugging Face repositories are not supported.

import neuralnode as nn

model = nn.HorusModel(
    model_id="tokenaii/horus/Horus-1.0-4B",
    turboquant=True,
    turboquant_bits=4,
).load()

response = model.chat([
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Explain Horus briefly."},
])

print(response.content)

Available Horus model IDs

from neuralnode import HorusModel

print(HorusModel.list_available_models())

Supported IDs currently include:

• tokenaii/horus
• tokenaii/horus/Horus-1.0-4B
• tokenaii/Horus-1.0-4B-GGUF/Horus-1.0-4B-Q4_K_M.gguf
• tokenaii/Horus-1.0-4B-GGUF/Horus-1.0-4B-Q5_K_M.gguf
• tokenaii/Horus-1.0-4B-GGUF/Horus-1.0-4B-Q6_K.gguf
• tokenaii/Horus-1.0-4B-GGUF/Horus-1.0-4B-Q8_0.gguf
• tokenaii/Horus-1.0-4B-GGUF/Horus-1.0-4B-F16.gguf
• tokenaii/Horus-Lens-1.0

Horus Lens text-to-image

import neuralnode as nn

model = nn.HorusLensModel("tokenaii/Horus-Lens-1.0").load()
model.generate_image(
    "A detailed cinematic image of an ancient Egyptian AI lab, golden light",
    output_path="outputs/horus_lens.png",
    seed=42,
)

Replica TTS

Replica exposes 20 curated edge_tts voices through custom voice IDs.

import neuralnode as nn

print(nn.replica_voice_list())

tts = nn.ReplicaTTS(voice_id="replic-salma-language{ar-eg}")
tts.save_to_file("مرحبا من نيورال نود", "reply.mp3")

Voice mapping docs:

• docs/replica_voice_ids.md
• docs/replica_voice_ids.csv

Horus + Replica

import neuralnode as nn

model = nn.HorusModel(
    model_id="tokenaii/horus/Horus-1.0-4B",
    enable_tts=True,
    tts_voice_id="replic-salma-language{ar-eg}",
).load()

result = model.chat_and_speak(
    [{"role": "user", "content": "قل لي جملة ترحيب قصيرة"}],
    output_file="horus_reply.mp3",
)

print(result["response"].content)
print(result["audio_path"])

Telegram

Use a BotFather token to connect an agent to Telegram.

import neuralnode as nn

ai = nn.NeuralNode(provider="horus", model="tokenaii/horus/Horus-1.0-4B")
agent = ai.agent(agent_type="simple", thinking=False)

bot = nn.TelegramBot(
    token="YOUR_BOTFATHER_TOKEN",
    agent=agent,
    config=nn.TelegramBotConfig(
        token="YOUR_BOTFATHER_TOKEN",
        enable_voice=True,
        enable_documents=True,
        reply_mode="both",  # text | voice | both
        voice_reply_voice_id="replic-aria-language{en-us}",
    ),
)

bot.start()

Telegram now supports:

• text chat
• voice transcription
• optional Replica voice replies
• document download and analysis

RAG

import neuralnode as nn

ai = nn.NeuralNode(provider="ollama", model="llama3.2")
rag = ai.rag(store="memory")
rag.add_documents(["notes.txt", "report.pdf"])

print(rag.query("Summarize the key findings"))

If the current LLM does not support embeddings, RAG automatically tries:

1. a dedicated embedding provider
2. sentence-transformers
3. lexical fallback embeddings

Supported Provider Surface

Only implemented providers are exposed through the public provider registry.

Cloud chat providers:

• anthropic
• google
• cohere
• mistral
• groq
• deepseek
• perplexity
• ai21
• together
• fireworks
• bedrock
• vertexai

Local providers:

• ollama
• llamacpp
• transformers
• llamafile
• koboldcpp
• textgenwebui
• exllama
• autogptq
• autoawq
• vllm
• tgi
• deepspeed
• rayserve
• mlflow
• bentoml
• triton
• mlx
• horus

TurboQuant

TurboQuant is integrated into:

• HorusModel(..., turboquant=True, turboquant_bits=4)
• create_provider("transformers", turboquant=True, turboquant_bits=4, ...)

If the turboquant package is not installed or the backend cannot use it, NeuralNode falls back to normal generation automatically.

Notes

• OpenAI is intentionally blocked in NeuralNode.
• GGUF Horus models require llama-cpp-python.
• Horus downloads from Hugging Face require huggingface_hub.