package config

// Canonical default values.
//
// These are owned here so the two layers that need them share a single source
// of truth: the config tiers (ApplyInference/Hardware/Serving/Generic — which
// *decide* defaults) and core/backend/options.go (which *translates* a
// ModelConfig to the backend wire format and supplies the same fallbacks
// defensively). Previously these were duplicated as literals across both
// packages and had drifted (e.g. n_gpu_layers 9999999 vs 99999999, two batch
// constants of 512). core/backend imports core/config, so backend references
// these; config never imports backend.
const (
	// DefaultContextSize is the fallback context window when none is configured
	// or estimable from the model. It is also the fallback for a GGUF whose
	// metadata yields no usable estimate or that the parser cannot read at all
	// (e.g. a quant type it does not know, such as NVFP4): a model-agnostic
	// safe default beats a tiny, surprising window that truncates real prompts.
	DefaultContextSize = 4096

	// DefaultAutoContextSize caps the context we auto-derive from a GGUF when the
	// user did not set context_size. The GGUF importer used to default a model's
	// context to its full trained window (n_ctx_train). For long-context models
	// (128k / 256k / 1M) that KV cache cannot fit a consumer GPU and the backend
	// aborts on load (exitCode=-1) even though the model file is fine. So instead
	// of shooting for the trained max, we keep a modest default: a small model
	// (trained < this) keeps its trained window, while a long-context model caps
	// here. Users who want the full window raise context_size explicitly. This is
	// a conservative default, not a VRAM-maximizing one — VRAM is only used to
	// step further DOWN when even this cap would not fit (see context_fit.go).
	DefaultAutoContextSize = 8192

	// DefaultNGPULayers means "offload all layers"; the backend (fit_params)
	// clamps to what actually fits in device memory.
	DefaultNGPULayers = 99999999

	// DefaultFlashAttention is the flash-attention mode default; "auto" lets the
	// backend enable it when the model + backend support it.
	DefaultFlashAttention = "auto"
)