zignet/dist/config-DRCClO4V.d.cts

MCP server for Zig — AI-powered code analysis, validation, and documentation with fine-tuned LLM

//#region src/config.d.ts
/**
 * ZigNet Configuration
 *
 * Centralized configuration management based on environment variables.
 * Controls Zig versions for documentation scraping, compilation, and defaults.
 * Also manages LLM model settings for ZigNet's intelligent features.
 */
/**
 * Supported Zig versions (from ZIG_SUPPORTED env var)
 * Default: "0.13.0,0.14.0,0.15.2"
 *
 * Example:
 *   export ZIG_SUPPORTED="0.13.0,0.14.0,0.15.2"
 */
declare const SUPPORTED_ZIG_VERSIONS: readonly string[];
type ZigVersion = (typeof SUPPORTED_ZIG_VERSIONS)[number];
/**
 * Default Zig version (from ZIG_DEFAULT env var)
 * Default: "0.15.2"
 *
 * Example:
 *   export ZIG_DEFAULT="0.15.2"
 */
declare const DEFAULT_ZIG_VERSION: ZigVersion;
/**
 * Get configuration summary for logging
 */
declare function getConfigSummary(): string;
/**
 * Validate a Zig version string
 */
declare function isValidZigVersion(version: string): version is ZigVersion;
/**
 * Get Zig version or fallback to default
 */
declare function getZigVersionOrDefault(version?: string): ZigVersion;
/**
 * Path to the GGUF model file
 * Default: ~/.zignet/models/zignet-qwen-7b-q4km.gguf
 *
 * Example:
 *   export ZIGNET_MODEL_PATH="/path/to/custom/model.gguf"
 */
declare const MODEL_PATH: string;
/**
 * Auto-download model from HuggingFace if not found
 * Default: true
 *
 * Example:
 *   export ZIGNET_MODEL_AUTO_DOWNLOAD="false"
 */
declare const MODEL_AUTO_DOWNLOAD: boolean;
/**
 * GPU device selection (CUDA_VISIBLE_DEVICES)
 * Specify which GPU(s) to use for CUDA inference
 * Default: undefined (use all available GPUs)
 *
 * Examples:
 *   export ZIGNET_GPU_DEVICE="0"     # Use first GPU only (e.g., RTX 4090)
 *   export ZIGNET_GPU_DEVICE="1"     # Use second GPU only
 *   export ZIGNET_GPU_DEVICE="0,1"   # Use first and second GPUs
 *
 * Note: GPU indices are system-dependent. Use `nvidia-smi` to list available GPUs.
 * This sets CUDA_VISIBLE_DEVICES before loading the model.
 */
declare const GPU_DEVICE: string | undefined;
/**
 * Number of layers to offload to GPU
 * Default: 35 (all layers for RTX 3090)
 * Set to 0 for CPU-only inference
 *
 * Example:
 *   export ZIGNET_GPU_LAYERS="0"  # CPU only
 *   export ZIGNET_GPU_LAYERS="20" # Partial GPU
 *   export ZIGNET_GPU_LAYERS="35" # Full GPU (RTX 3090)
 */
declare const GPU_LAYERS: number;
/**
 * LLM context size (max tokens)
 * Default: 4096
 *
 * Example:
 *   export ZIGNET_CONTEXT_SIZE="8192"
 */
declare const CONTEXT_SIZE: number;
/**
 * LLM temperature (creativity)
 * Default: 0.7
 *
 * Example:
 *   export ZIGNET_TEMPERATURE="0.5"
 */
declare const TEMPERATURE: number;
/**
 * LLM top-p sampling
 * Default: 0.9
 *
 * Example:
 *   export ZIGNET_TOP_P="0.8"
 */
declare const TOP_P: number;
//#endregion
export { MODEL_AUTO_DOWNLOAD as a, TEMPERATURE as c, getConfigSummary as d, getZigVersionOrDefault as f, GPU_LAYERS as i, TOP_P as l, DEFAULT_ZIG_VERSION as n, MODEL_PATH as o, isValidZigVersion as p, GPU_DEVICE as r, SUPPORTED_ZIG_VERSIONS as s, CONTEXT_SIZE as t, ZigVersion as u };
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