std.ml — Universal AI Model Hub & SIMD Tensor Engine

Universal client connectors for frontier AI models (OpenAI GPT-4o, Anthropic Claude 3.5, Google Gemini 2.0, DeepSeek R1, Ollama) and high-performance AVX2/SIMD tensor math.

1. Universal AI Model Client

Nyx provides a unified interface across all major LLM providers with SSE streaming and tool calling:

import std.ml.ai_model
import std.io

pub fn main() {
    // 1. Initialize frontier model clients
    let gpt4 = ai_model.create_openai_client("gpt-4o", "sk-proj-...")
    let claude = ai_model.create_anthropic_client("claude-3-5-sonnet-20241022", "sk-ant-...")
    let gemini = ai_model.create_gemini_client("gemini-2.0-flash", "AIzaSy...")
    let deepseek = ai_model.create_deepseek_client("deepseek-reasoner", "sk-...")
    let local_llm = ai_model.create_ollama_client("http://localhost:11434", "llama3.3:70b")

    // 2. Multi-turn chat completion
    let mut messages = Vec.new()
    messages.push(ai_model.ChatMessage {
        role: "system".to_string(),
        content: "You are an expert autonomous systems engineer.".to_string(),
    })
    messages.push(ai_model.ChatMessage {
        role: "user".to_string(),
        content: "Analyze geospatial risk for sensor cluster alpha.".to_string(),
    })

    let response = ai_model.chat_complete(gpt4, messages, 0.7)
    std.io.println("AI Assistant Reply: " + response)
}

2. High-Performance AVX2 SIMD Tensor Operations

Direct C runtime bindings (rt_ml.h) deliver cache-blocked matrix multiplication, RMSNorm, and SwiGLU activations:

import std.ml
import std.vec

pub fn main() {
    // Cache-blocked AVX2 GEMM matrix multiplication
    let a = [1.0, 2.0, 3.0, 4.0]
    let b = [5.0, 6.0, 7.0, 8.0]
    let c = ml.simd_gemm(a, b, 2, 2, 2)

    // Vector Cosine Similarity Search for RAG Embeddings
    let query_embedding = [0.12, 0.88, 0.45, 0.02]
    let doc_embedding   = [0.12, 0.88, 0.45, 0.02]
    let score = ml.cosine_similarity(query_embedding, doc_embedding)
    std.io.println("Similarity Score: " + score.to_string()) // 1.000000
}

3. Function Reference