Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'

vendor/ruvector/npm/packages/ruvllm-cli/README.md

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+# @ruvector/ruvllm-cli
+
+[![npm version](https://img.shields.io/npm/v/@ruvector/ruvllm-cli.svg)](https://www.npmjs.com/package/@ruvector/ruvllm-cli)
+[![npm downloads](https://img.shields.io/npm/dt/@ruvector/ruvllm-cli.svg)](https://www.npmjs.com/package/@ruvector/ruvllm-cli)
+[![npm downloads/month](https://img.shields.io/npm/dm/@ruvector/ruvllm-cli.svg)](https://www.npmjs.com/package/@ruvector/ruvllm-cli)
+[![License](https://img.shields.io/npm/l/@ruvector/ruvllm-cli.svg)](https://github.com/ruvnet/ruvector/blob/main/LICENSE)
+[![TypeScript](https://img.shields.io/badge/TypeScript-5.0-blue.svg)](https://www.typescriptlang.org/)
+
+**Command-line interface for local LLM inference and benchmarking** - run AI models on your machine with Metal, CUDA, and CPU acceleration.
+
+## Features
+
+- **Hardware Acceleration** - Metal (macOS), CUDA (NVIDIA), Vulkan, Apple Neural Engine
+- **GGUF Support** - Load quantized models (Q4, Q5, Q6, Q8) for efficient inference
+- **Interactive Chat** - Terminal-based chat sessions with conversation history
+- **Benchmarking** - Measure tokens/second, memory usage, time-to-first-token
+- **HTTP Server** - OpenAI-compatible API server for integration
+- **Model Management** - Download, list, and manage models from HuggingFace
+- **Streaming Output** - Real-time token streaming for responsive UX
+
+## Installation
+
+```bash
+# Install globally
+npm install -g @ruvector/ruvllm-cli
+
+# Or run directly with npx
+npx @ruvector/ruvllm-cli --help
+```
+
+For full native performance, install the Rust binary:
+
+```bash
+cargo install ruvllm-cli
+```
+
+## Quick Start
+
+### Run Inference
+
+```bash
+# Basic inference
+ruvllm run --model ./llama-7b-q4.gguf --prompt "Explain quantum computing"
+
+# With options
+ruvllm run \
+  --model ./model.gguf \
+  --prompt "Write a haiku about Rust" \
+  --temperature 0.8 \
+  --max-tokens 100 \
+  --backend metal
+```
+
+### Interactive Chat
+
+```bash
+# Start chat session
+ruvllm chat --model ./model.gguf
+
+# With system prompt
+ruvllm chat --model ./model.gguf --system "You are a helpful coding assistant"
+```
+
+### Benchmark Performance
+
+```bash
+# Run benchmark
+ruvllm bench --model ./model.gguf --iterations 20
+
+# Compare backends
+ruvllm bench --model ./model.gguf --backend metal
+ruvllm bench --model ./model.gguf --backend cpu
+```
+
+### Start Server
+
+```bash
+# OpenAI-compatible API server
+ruvllm serve --model ./model.gguf --port 8080
+
+# Then use with any OpenAI client
+curl http://localhost:8080/v1/completions \
+  -H "Content-Type: application/json" \
+  -d '{"prompt": "Hello", "max_tokens": 50}'
+```
+
+### Model Management
+
+```bash
+# List available models
+ruvllm list
+
+# Download from HuggingFace
+ruvllm download TheBloke/Llama-2-7B-GGUF
+
+# Download specific quantization
+ruvllm download TheBloke/Llama-2-7B-GGUF --quant q4_k_m
+```
+
+## CLI Reference
+
+| Command | Description |
+|---------|-------------|
+| `run` | Run inference on a prompt |
+| `chat` | Interactive chat session |
+| `bench` | Benchmark model performance |
+| `serve` | Start HTTP server |
+| `list` | List downloaded models |
+| `download` | Download model from HuggingFace |
+
+### Global Options
+
+| Option | Description | Default |
+|--------|-------------|---------|
+| `--model, -m` | Path to GGUF model file | - |
+| `--backend, -b` | Acceleration backend (metal, cuda, cpu) | auto |
+| `--threads, -t` | Number of CPU threads | auto |
+| `--gpu-layers` | Layers to offload to GPU | all |
+| `--context-size` | Context window size | 2048 |
+| `--verbose, -v` | Enable verbose logging | false |
+
+### Generation Options
+
+| Option | Description | Default |
+|--------|-------------|---------|
+| `--temperature` | Sampling temperature (0-2) | 0.7 |
+| `--top-p` | Nucleus sampling threshold | 0.9 |
+| `--top-k` | Top-k sampling | 40 |
+| `--max-tokens` | Maximum tokens to generate | 256 |
+| `--repeat-penalty` | Repetition penalty | 1.1 |
+
+## Programmatic Usage
+
+```typescript
+import {
+  parseArgs,
+  formatBenchmarkTable,
+  getAvailableBackends,
+  ModelConfig,
+  BenchmarkResult,
+} from '@ruvector/ruvllm-cli';
+
+// Parse CLI arguments
+const args = parseArgs(['--model', './model.gguf', '--temperature', '0.8']);
+console.log(args); // { model: './model.gguf', temperature: '0.8' }
+
+// Check available backends
+const backends = getAvailableBackends();
+console.log('Available:', backends); // ['cpu', 'metal'] on macOS
+
+// Format benchmark results
+const results: BenchmarkResult[] = [
+  {
+    model: 'llama-7b',
+    backend: 'metal',
+    promptTokens: 50,
+    generatedTokens: 100,
+    promptTime: 120,
+    generationTime: 2500,
+    promptTPS: 416.7,
+    generationTPS: 40.0,
+    memoryUsage: 4200,
+    peakMemory: 4800,
+  },
+];
+
+console.log(formatBenchmarkTable(results));
+```
+
+## Performance
+
+Benchmarks on Apple M2 Pro with Q4_K_M quantization:
+
+| Model | Prompt TPS | Gen TPS | Memory |
+|-------|------------|---------|--------|
+| Llama-2-7B | 450 | 42 | 4.2 GB |
+| Mistral-7B | 480 | 45 | 4.1 GB |
+| Phi-2 | 820 | 85 | 1.8 GB |
+| TinyLlama-1.1B | 1200 | 120 | 0.8 GB |
+
+## Configuration
+
+Create `~/.ruvllm/config.json`:
+
+```json
+{
+  "defaultBackend": "metal",
+  "modelsDir": "~/.ruvllm/models",
+  "cacheDir": "~/.ruvllm/cache",
+  "streaming": true,
+  "logLevel": "info"
+}
+```
+
+## Environment Variables
+
+| Variable | Description |
+|----------|-------------|
+| `RUVLLM_MODELS_DIR` | Models directory |
+| `RUVLLM_CACHE_DIR` | Cache directory |
+| `RUVLLM_BACKEND` | Default backend |
+| `RUVLLM_THREADS` | CPU threads |
+| `HF_TOKEN` | HuggingFace token for gated models |
+
+## Related Packages
+
+- [@ruvector/ruvllm](https://www.npmjs.com/package/@ruvector/ruvllm) - LLM orchestration library
+- [@ruvector/ruvllm-wasm](https://www.npmjs.com/package/@ruvector/ruvllm-wasm) - Browser LLM inference
+- [ruvector](https://www.npmjs.com/package/ruvector) - All-in-one vector database
+
+## Documentation
+
+- [RuvLLM Documentation](https://github.com/ruvnet/ruvector/tree/main/crates/ruvllm)
+- [CLI Crate](https://github.com/ruvnet/ruvector/tree/main/crates/ruvllm-cli)
+- [API Reference](https://docs.rs/ruvllm-cli)
+
+## License
+
+MIT OR Apache-2.0
+
+---
+
+**Part of the [RuVector](https://github.com/ruvnet/ruvector) ecosystem** - High-performance vector database with self-learning capabilities.

vendor/ruvector/npm/packages/ruvllm-cli/bin/ruvllm.js

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+#!/usr/bin/env node
+
+/**
+ * RuvLLM CLI Entry Point
+ *
+ * Usage:
+ *   ruvllm run --model <path> --prompt <text>
+ *   ruvllm bench --model <path> [--iterations <n>]
+ *   ruvllm serve --model <path> [--port <n>]
+ *   ruvllm list
+ *   ruvllm download <model-id>
+ */
+
+import { parseArgs, VERSION, DEFAULT_CONFIG } from '../dist/index.js';
+
+const args = process.argv.slice(2);
+const command = args[0];
+const options = parseArgs(args.slice(1));
+
+function printHelp() {
+  console.log(`
+RuvLLM CLI v${VERSION}
+
+Usage:
+  ruvllm <command> [options]
+
+Commands:
+  run       Run inference on a prompt
+  bench     Benchmark model performance
+  serve     Start HTTP server for inference
+  list      List available models
+  download  Download a model from HuggingFace
+  chat      Interactive chat session
+
+Options:
+  --model, -m     Path to model file (GGUF)
+  --prompt, -p    Input prompt text
+  --backend, -b   Acceleration backend (metal, cuda, cpu)
+  --port          Server port (default: 8080)
+  --iterations    Benchmark iterations (default: 10)
+  --temperature   Sampling temperature (default: 0.7)
+  --max-tokens    Maximum tokens to generate (default: 256)
+  --help, -h      Show this help message
+  --version, -v   Show version
+
+Examples:
+  ruvllm run --model ./model.gguf --prompt "Hello, world"
+  ruvllm bench --model ./model.gguf --iterations 20
+  ruvllm serve --model ./model.gguf --port 3000
+  ruvllm chat --model ./model.gguf
+`);
+}
+
+function printVersion() {
+  console.log(`ruvllm v${VERSION}`);
+}
+
+async function main() {
+  if (options.help || options.h || !command) {
+    printHelp();
+    process.exit(0);
+  }
+
+  if (options.version || options.v) {
+    printVersion();
+    process.exit(0);
+  }
+
+  switch (command) {
+    case 'run':
+      console.log('Running inference...');
+      console.log('Model:', options.model || 'Not specified');
+      console.log('Prompt:', options.prompt || 'Not specified');
+      console.log('\nNote: Full inference requires the native ruvllm binary.');
+      console.log('Install with: cargo install ruvllm-cli');
+      break;
+
+    case 'bench':
+      console.log('Running benchmark...');
+      console.log('Model:', options.model || 'Not specified');
+      console.log('Iterations:', options.iterations || 10);
+      console.log('\nNote: Full benchmarking requires the native ruvllm binary.');
+      console.log('Install with: cargo install ruvllm-cli');
+      break;
+
+    case 'serve':
+      console.log('Starting server...');
+      console.log('Model:', options.model || 'Not specified');
+      console.log('Port:', options.port || 8080);
+      console.log('\nNote: Server mode requires the native ruvllm binary.');
+      console.log('Install with: cargo install ruvllm-cli');
+      break;
+
+    case 'list':
+      console.log('Available models in', DEFAULT_CONFIG.modelsDir);
+      console.log('\nNote: Model listing requires the native ruvllm binary.');
+      break;
+
+    case 'download':
+      console.log('Downloading model:', args[1] || 'Not specified');
+      console.log('\nNote: Model download requires the native ruvllm binary.');
+      break;
+
+    case 'chat':
+      console.log('Starting chat session...');
+      console.log('Model:', options.model || 'Not specified');
+      console.log('\nNote: Chat mode requires the native ruvllm binary.');
+      console.log('Install with: cargo install ruvllm-cli');
+      break;
+
+    default:
+      console.error(`Unknown command: ${command}`);
+      printHelp();
+      process.exit(1);
+  }
+}
+
+main().catch(err => {
+  console.error('Error:', err.message);
+  process.exit(1);
+});

vendor/ruvector/npm/packages/ruvllm-cli/package.json

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+{
+  "name": "@ruvector/ruvllm-cli",
+  "version": "0.1.0",
+  "description": "CLI for LLM inference, benchmarking, and model management - run local LLMs with Metal/CUDA acceleration",
+  "main": "dist/index.js",
+  "types": "dist/index.d.ts",
+  "bin": {
+    "ruvllm": "./bin/ruvllm.js"
+  },
+  "exports": {
+    ".": {
+      "import": {
+        "types": "./dist/index.d.ts",
+        "default": "./dist/index.js"
+      },
+      "require": {
+        "types": "./dist/index.d.ts",
+        "default": "./dist/index.js"
+      }
+    }
+  },
+  "scripts": {
+    "build": "tsc",
+    "prepublishOnly": "npm run build",
+    "test": "node --test test/*.test.js",
+    "typecheck": "tsc --noEmit",
+    "clean": "rm -rf dist"
+  },
+  "devDependencies": {
+    "@types/node": "^20.19.30",
+    "typescript": "^5.9.3"
+  },
+  "keywords": [
+    "llm",
+    "cli",
+    "inference",
+    "benchmarking",
+    "gguf",
+    "metal",
+    "cuda",
+    "local-llm",
+    "ai",
+    "machine-learning",
+    "ruvector",
+    "ruvllm",
+    "model-serving"
+  ],
+  "author": "rUv Team <team@ruv.io>",
+  "license": "MIT OR Apache-2.0",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/ruvnet/ruvector.git",
+    "directory": "npm/packages/ruvllm-cli"
+  },
+  "homepage": "https://github.com/ruvnet/ruvector/tree/main/crates/ruvllm-cli",
+  "bugs": {
+    "url": "https://github.com/ruvnet/ruvector/issues"
+  },
+  "engines": {
+    "node": ">= 18"
+  },
+  "publishConfig": {
+    "registry": "https://registry.npmjs.org/",
+    "access": "public"
+  },
+  "files": [
+    "dist",
+    "bin",
+    "README.md"
+  ]
+}

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vendor/ruvector/npm/packages/ruvllm-cli/src/index.ts

@@ -0,0 +1,109 @@
+/**
+ * @ruvector/ruvllm-cli - CLI for LLM Inference and Benchmarking
+ *
+ * A command-line interface for running local LLM inference with
+ * Metal/CUDA acceleration, model benchmarking, and serving.
+ *
+ * @example
+ * ```bash
+ * # Run inference
+ * npx @ruvector/ruvllm-cli run --model ./model.gguf --prompt "Hello"
+ *
+ * # Benchmark a model
+ * npx @ruvector/ruvllm-cli bench --model ./model.gguf --iterations 10
+ *
+ * # Start server
+ * npx @ruvector/ruvllm-cli serve --model ./model.gguf --port 8080
+ * ```
+ *
+ * @packageDocumentation
+ */
+
+export {
+  ModelFormat,
+  AccelerationBackend,
+  QuantizationType,
+  ModelConfig,
+  GenerationParams,
+  InferenceResult,
+  BenchmarkResult,
+  CLIConfig,
+  ChatMessage,
+  ChatCompletionOptions,
+} from './types.js';
+
+/** CLI version */
+export const VERSION = '0.1.0';
+
+/** Default CLI configuration */
+export const DEFAULT_CONFIG: import('./types.js').CLIConfig = {
+  defaultBackend: 'cpu' as import('./types.js').AccelerationBackend,
+  modelsDir: '~/.ruvllm/models',
+  cacheDir: '~/.ruvllm/cache',
+  logLevel: 'info',
+  streaming: true,
+};
+
+/**
+ * Parse CLI arguments
+ */
+export function parseArgs(args: string[]): Record<string, string | boolean> {
+  const result: Record<string, string | boolean> = {};
+
+  for (let i = 0; i < args.length; i++) {
+    const arg = args[i];
+    if (arg.startsWith('--')) {
+      const key = arg.slice(2);
+      const next = args[i + 1];
+      if (next && !next.startsWith('--')) {
+        result[key] = next;
+        i++;
+      } else {
+        result[key] = true;
+      }
+    } else if (arg.startsWith('-')) {
+      const key = arg.slice(1);
+      result[key] = true;
+    }
+  }
+
+  return result;
+}
+
+/**
+ * Format benchmark results as table
+ */
+export function formatBenchmarkTable(results: import('./types.js').BenchmarkResult[]): string {
+  const headers = ['Model', 'Backend', 'Prompt TPS', 'Gen TPS', 'Memory (MB)'];
+  const rows = results.map(r => [
+    r.model,
+    r.backend,
+    r.promptTPS.toFixed(2),
+    r.generationTPS.toFixed(2),
+    r.memoryUsage.toFixed(0),
+  ]);
+
+  const widths = headers.map((h, i) =>
+    Math.max(h.length, ...rows.map(r => String(r[i]).length))
+  );
+
+  const separator = widths.map(w => '-'.repeat(w)).join(' | ');
+  const headerRow = headers.map((h, i) => h.padEnd(widths[i])).join(' | ');
+  const dataRows = rows.map(row =>
+    row.map((cell, i) => String(cell).padEnd(widths[i])).join(' | ')
+  );
+
+  return [headerRow, separator, ...dataRows].join('\n');
+}
+
+/**
+ * Get available backends for current system
+ */
+export function getAvailableBackends(): import('./types.js').AccelerationBackend[] {
+  const backends: import('./types.js').AccelerationBackend[] = ['cpu' as import('./types.js').AccelerationBackend];
+
+  // Platform detection would go here
+  // For now, return CPU as always available
+
+  return backends;
+}

vendor/ruvector/npm/packages/ruvllm-cli/src/types.d.ts

@@ -0,0 +1,136 @@
+/**
+ * RuvLLM CLI Types
+ * Types for CLI configuration and inference options
+ */
+/** Supported model formats */
+export declare enum ModelFormat {
+    GGUF = "gguf",
+    SafeTensors = "safetensors",
+    ONNX = "onnx"
+}
+/** Hardware acceleration backends */
+export declare enum AccelerationBackend {
+    /** Apple Metal (macOS) */
+    Metal = "metal",
+    /** NVIDIA CUDA */
+    CUDA = "cuda",
+    /** CPU only */
+    CPU = "cpu",
+    /** Apple Neural Engine */
+    ANE = "ane",
+    /** Vulkan (cross-platform GPU) */
+    Vulkan = "vulkan"
+}
+/** Quantization levels */
+export declare enum QuantizationType {
+    F32 = "f32",
+    F16 = "f16",
+    Q8_0 = "q8_0",
+    Q4_K_M = "q4_k_m",
+    Q4_K_S = "q4_k_s",
+    Q5_K_M = "q5_k_m",
+    Q5_K_S = "q5_k_s",
+    Q6_K = "q6_k",
+    Q2_K = "q2_k",
+    Q3_K_M = "q3_k_m"
+}
+/** Model configuration */
+export interface ModelConfig {
+    /** Path to model file */
+    modelPath: string;
+    /** Model format */
+    format?: ModelFormat;
+    /** Quantization type */
+    quantization?: QuantizationType;
+    /** Context window size */
+    contextSize?: number;
+    /** Number of GPU layers to offload */
+    gpuLayers?: number;
+    /** Batch size for inference */
+    batchSize?: number;
+    /** Number of threads for CPU inference */
+    threads?: number;
+}
+/** Generation parameters */
+export interface GenerationParams {
+    /** Maximum tokens to generate */
+    maxTokens?: number;
+    /** Temperature for sampling */
+    temperature?: number;
+    /** Top-p (nucleus) sampling */
+    topP?: number;
+    /** Top-k sampling */
+    topK?: number;
+    /** Repetition penalty */
+    repetitionPenalty?: number;
+    /** Stop sequences */
+    stopSequences?: string[];
+    /** Seed for reproducibility */
+    seed?: number;
+}
+/** Inference result */
+export interface InferenceResult {
+    /** Generated text */
+    text: string;
+    /** Number of tokens generated */
+    tokensGenerated: number;
+    /** Time to first token (ms) */
+    timeToFirstToken: number;
+    /** Total generation time (ms) */
+    totalTime: number;
+    /** Tokens per second */
+    tokensPerSecond: number;
+    /** Finish reason */
+    finishReason: 'stop' | 'length' | 'error';
+}
+/** Benchmark result */
+export interface BenchmarkResult {
+    /** Model name */
+    model: string;
+    /** Backend used */
+    backend: AccelerationBackend;
+    /** Prompt tokens */
+    promptTokens: number;
+    /** Generated tokens */
+    generatedTokens: number;
+    /** Prompt processing time (ms) */
+    promptTime: number;
+    /** Generation time (ms) */
+    generationTime: number;
+    /** Tokens per second (prompt) */
+    promptTPS: number;
+    /** Tokens per second (generation) */
+    generationTPS: number;
+    /** Memory usage (MB) */
+    memoryUsage: number;
+    /** Peak memory (MB) */
+    peakMemory: number;
+}
+/** CLI configuration */
+export interface CLIConfig {
+    /** Default model path */
+    defaultModel?: string;
+    /** Default backend */
+    defaultBackend?: AccelerationBackend;
+    /** Models directory */
+    modelsDir?: string;
+    /** Cache directory */
+    cacheDir?: string;
+    /** Log level */
+    logLevel?: 'debug' | 'info' | 'warn' | 'error';
+    /** Enable streaming output */
+    streaming?: boolean;
+}
+/** Chat message */
+export interface ChatMessage {
+    role: 'system' | 'user' | 'assistant';
+    content: string;
+}
+/** Chat completion options */
+export interface ChatCompletionOptions extends GenerationParams {
+    /** System prompt */
+    systemPrompt?: string;
+    /** Chat history */
+    messages?: ChatMessage[];
+}
+//# sourceMappingURL=types.d.ts.map

vendor/ruvector/npm/packages/ruvllm-cli/src/types.d.ts.map

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vendor/ruvector/npm/packages/ruvllm-cli/src/types.js

@@ -0,0 +1,43 @@
+"use strict";
+/**
+ * RuvLLM CLI Types
+ * Types for CLI configuration and inference options
+ */
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.QuantizationType = exports.AccelerationBackend = exports.ModelFormat = void 0;
+/** Supported model formats */
+var ModelFormat;
+(function (ModelFormat) {
+    ModelFormat["GGUF"] = "gguf";
+    ModelFormat["SafeTensors"] = "safetensors";
+    ModelFormat["ONNX"] = "onnx";
+})(ModelFormat || (exports.ModelFormat = ModelFormat = {}));
+/** Hardware acceleration backends */
+var AccelerationBackend;
+(function (AccelerationBackend) {
+    /** Apple Metal (macOS) */
+    AccelerationBackend["Metal"] = "metal";
+    /** NVIDIA CUDA */
+    AccelerationBackend["CUDA"] = "cuda";
+    /** CPU only */
+    AccelerationBackend["CPU"] = "cpu";
+    /** Apple Neural Engine */
+    AccelerationBackend["ANE"] = "ane";
+    /** Vulkan (cross-platform GPU) */
+    AccelerationBackend["Vulkan"] = "vulkan";
+})(AccelerationBackend || (exports.AccelerationBackend = AccelerationBackend = {}));
+/** Quantization levels */
+var QuantizationType;
+(function (QuantizationType) {
+    QuantizationType["F32"] = "f32";
+    QuantizationType["F16"] = "f16";
+    QuantizationType["Q8_0"] = "q8_0";
+    QuantizationType["Q4_K_M"] = "q4_k_m";
+    QuantizationType["Q4_K_S"] = "q4_k_s";
+    QuantizationType["Q5_K_M"] = "q5_k_m";
+    QuantizationType["Q5_K_S"] = "q5_k_s";
+    QuantizationType["Q6_K"] = "q6_k";
+    QuantizationType["Q2_K"] = "q2_k";
+    QuantizationType["Q3_K_M"] = "q3_k_m";
+})(QuantizationType || (exports.QuantizationType = QuantizationType = {}));
+//# sourceMappingURL=types.js.map

vendor/ruvector/npm/packages/ruvllm-cli/src/types.js.map

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vendor/ruvector/npm/packages/ruvllm-cli/src/types.ts

@@ -0,0 +1,145 @@
+/**
+ * RuvLLM CLI Types
+ * Types for CLI configuration and inference options
+ */
+
+/** Supported model formats */
+export enum ModelFormat {
+  GGUF = 'gguf',
+  SafeTensors = 'safetensors',
+  ONNX = 'onnx',
+}
+
+/** Hardware acceleration backends */
+export enum AccelerationBackend {
+  /** Apple Metal (macOS) */
+  Metal = 'metal',
+  /** NVIDIA CUDA */
+  CUDA = 'cuda',
+  /** CPU only */
+  CPU = 'cpu',
+  /** Apple Neural Engine */
+  ANE = 'ane',
+  /** Vulkan (cross-platform GPU) */
+  Vulkan = 'vulkan',
+}
+
+/** Quantization levels */
+export enum QuantizationType {
+  F32 = 'f32',
+  F16 = 'f16',
+  Q8_0 = 'q8_0',
+  Q4_K_M = 'q4_k_m',
+  Q4_K_S = 'q4_k_s',
+  Q5_K_M = 'q5_k_m',
+  Q5_K_S = 'q5_k_s',
+  Q6_K = 'q6_k',
+  Q2_K = 'q2_k',
+  Q3_K_M = 'q3_k_m',
+}
+
+/** Model configuration */
+export interface ModelConfig {
+  /** Path to model file */
+  modelPath: string;
+  /** Model format */
+  format?: ModelFormat;
+  /** Quantization type */
+  quantization?: QuantizationType;
+  /** Context window size */
+  contextSize?: number;
+  /** Number of GPU layers to offload */
+  gpuLayers?: number;
+  /** Batch size for inference */
+  batchSize?: number;
+  /** Number of threads for CPU inference */
+  threads?: number;
+}
+
+/** Generation parameters */
+export interface GenerationParams {
+  /** Maximum tokens to generate */
+  maxTokens?: number;
+  /** Temperature for sampling */
+  temperature?: number;
+  /** Top-p (nucleus) sampling */
+  topP?: number;
+  /** Top-k sampling */
+  topK?: number;
+  /** Repetition penalty */
+  repetitionPenalty?: number;
+  /** Stop sequences */
+  stopSequences?: string[];
+  /** Seed for reproducibility */
+  seed?: number;
+}
+
+/** Inference result */
+export interface InferenceResult {
+  /** Generated text */
+  text: string;
+  /** Number of tokens generated */
+  tokensGenerated: number;
+  /** Time to first token (ms) */
+  timeToFirstToken: number;
+  /** Total generation time (ms) */
+  totalTime: number;
+  /** Tokens per second */
+  tokensPerSecond: number;
+  /** Finish reason */
+  finishReason: 'stop' | 'length' | 'error';
+}
+
+/** Benchmark result */
+export interface BenchmarkResult {
+  /** Model name */
+  model: string;
+  /** Backend used */
+  backend: AccelerationBackend;
+  /** Prompt tokens */
+  promptTokens: number;
+  /** Generated tokens */
+  generatedTokens: number;
+  /** Prompt processing time (ms) */
+  promptTime: number;
+  /** Generation time (ms) */
+  generationTime: number;
+  /** Tokens per second (prompt) */
+  promptTPS: number;
+  /** Tokens per second (generation) */
+  generationTPS: number;
+  /** Memory usage (MB) */
+  memoryUsage: number;
+  /** Peak memory (MB) */
+  peakMemory: number;
+}
+
+/** CLI configuration */
+export interface CLIConfig {
+  /** Default model path */
+  defaultModel?: string;
+  /** Default backend */
+  defaultBackend?: AccelerationBackend;
+  /** Models directory */
+  modelsDir?: string;
+  /** Cache directory */
+  cacheDir?: string;
+  /** Log level */
+  logLevel?: 'debug' | 'info' | 'warn' | 'error';
+  /** Enable streaming output */
+  streaming?: boolean;
+}
+
+/** Chat message */
+export interface ChatMessage {
+  role: 'system' | 'user' | 'assistant';
+  content: string;
+}
+
+/** Chat completion options */
+export interface ChatCompletionOptions extends GenerationParams {
+  /** System prompt */
+  systemPrompt?: string;
+  /** Chat history */
+  messages?: ChatMessage[];
+}

vendor/ruvector/npm/packages/ruvllm-cli/tsconfig.json

@@ -0,0 +1,19 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "NodeNext",
+    "moduleResolution": "NodeNext",
+    "declaration": true,
+    "declarationMap": true,
+    "sourceMap": true,
+    "outDir": "./dist",
+    "rootDir": "./src",
+    "strict": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "resolveJsonModule": true
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist", "test"]
+}