/** Anthropic Claude models: opus (strongest), sonnet (default), haiku (fast).
 * Every id verified against the live GET /v1/models catalog (2026-07-30);
 * `check-model-catalog-drift` (scheduled, weekly) goes red when this
 * snapshot drifts from what the provider serves. Never construct an id. */
export declare const ANTHROPIC_MODELS: readonly ["claude-fable-5", "claude-opus-5", "claude-opus-4-8", "claude-opus-4-7", "claude-opus-4-6", "claude-sonnet-5", "claude-sonnet-4-6", "claude-haiku-4-5-20251001", "claude-opus-4-5-20251101", "claude-sonnet-4-5-20250929", "claude-opus-4-1-20250805"];
/** OpenAI models: gpt-5.4 (strongest), gpt-5.4-mini (default), gpt-5.4-nano (fast). */
export declare const OPENAI_MODELS: readonly ["gpt-5.4", "gpt-5.4-mini", "gpt-5.4-nano"];
/** Google models: 2.5 pro (strongest), 2.5 flash (default), 2.5 flash-lite (fast). */
export declare const GOOGLE_MODELS: readonly ["gemini-2.5-pro", "gemini-2.5-flash", "gemini-2.5-flash-lite"];
/**
 * DeepSeek models served via DeepSeek's OpenAI-compatible hosted API
 * (`https://api.deepseek.com`). The API-facing identifier `deepseek-chat`
 * routes to DeepSeek V3 — the workhorse, tool-use-capable model at
 * roughly Claude-Sonnet-class capability and ~10× cheaper pricing
 * ($0.27/M input · $1.10/M output). DeepSeek-R1 (`deepseek-reasoner`)
 * is reasoning-class but tool-use support is uncertain at the Jan 2026
 * cutoff; deferred to a sibling slice once verified.
 *
 * Single-entry registry today; expandable. The list shape stays
 * symmetric with the other per-vendor `*_MODELS` constants so the
 * settings UIs across surfaces consume them identically.
 */
export declare const DEEPSEEK_MODELS: readonly ["deepseek-chat"];
/**
 * Groq-hosted models served via Groq's OpenAI-compatible API
 * (`https://api.groq.com/openai/v1`). Groq's pitch is speed + price —
 * the LPU inference hardware delivers ~280 tokens/second on Llama 3.3
 * 70B (roughly 5× faster than typical GPU-served Llama) at $0.59/M
 * input · $0.79/M output (~5× cheaper than Claude Sonnet, ~5× more
 * expensive than DeepSeek). Independent American option in the BYOK
 * registry — post-NVIDIA-licensing-deal (December 2025) Groq remains
 * an independent company under CEO Simon Edwards; the API service
 * continues. Default `llama-3.3-70b-versatile` is the tool-use-
 * capable workhorse; `openai/gpt-oss-120b` is OpenAI's open-weights
 * release (only hosted competitively via Groq, MoE architecture
 * comparable to GPT-4 class on tool benchmarks).
 *
 * The list shape stays symmetric with the other per-vendor
 * `*_MODELS` constants so the settings UIs across surfaces consume
 * them identically.
 */
export declare const GROQ_MODELS: readonly ["llama-3.3-70b-versatile", "openai/gpt-oss-120b"];
/**
 * Common open-weights models that any local inference server can run.
 *
 * These identifiers are the model FAMILIES supported by every major local
 * inference server (Ollama, LM Studio, llama.cpp, Jan, vLLM). The names are
 * not Ollama-specific — Llama is Meta's, Mistral is Mistral AI's, Gemma is
 * Google's, Phi is Microsoft's, Qwen is Alibaba's, Codellama is Meta's. Each
 * server pulls them from its own catalog (Ollama from its registry, LM Studio
 * from HuggingFace, llama.cpp from GGUF files, etc.).
 *
 * Use this as the dropdown source for "what model do you want to run" in
 * any on-device / local-server UI. The user can pull any model; these are
 * the safe defaults to surface first.
 */
export declare const LOCAL_SERVER_SUGGESTED_MODELS: readonly ["qwen3", "gpt-oss", "gemma3", "llama4", "phi4-mini", "deepseek-r1", "mistral-small3.2"];
/**
 * @deprecated since 1.0.0, removed in 3.0.0. Use {@link LOCAL_SERVER_SUGGESTED_MODELS} instead.
 *
 * Reason: the old name implied the list was Ollama-specific, but every
 * entry runs on every supported local inference server (Ollama, LM Studio,
 * llama.cpp, vLLM). Vendor-neutral naming matches the runtime's
 * `"local-server"` provider discriminator.
 */
export declare const OLLAMA_SUGGESTED_MODELS: readonly ["qwen3", "gpt-oss", "gemma3", "llama4", "phi4-mini", "deepseek-r1", "mistral-small3.2"];
/** Models available through the Motebit proxy (all cloud providers). */
export declare const PROXY_MODELS: readonly ["claude-opus-4-7", "claude-sonnet-4-6", "claude-haiku-4-5-20251001", "gpt-5.4", "gpt-5.4-mini", "gpt-5.4-nano", "gemini-2.5-pro", "gemini-2.5-flash", "gemini-2.5-flash-lite"];
/** Default Anthropic model. */
export declare const DEFAULT_ANTHROPIC_MODEL = "claude-sonnet-4-6";
/** Default OpenAI model. */
export declare const DEFAULT_OPENAI_MODEL = "gpt-5.4-mini";
/** Default Google model. */
export declare const DEFAULT_GOOGLE_MODEL = "gemini-2.5-flash";
/**
 * Default DeepSeek model — V3 via the `deepseek-chat` API identifier.
 * The tool-use-capable workhorse; matches the per-vendor "default tier"
 * convention used by `DEFAULT_ANTHROPIC_MODEL` / `DEFAULT_OPENAI_MODEL` /
 * `DEFAULT_GOOGLE_MODEL`.
 */
export declare const DEFAULT_DEEPSEEK_MODEL = "deepseek-chat";
/**
 * Default Groq model — Llama 3.3 70B served at ~280 tok/sec via the
 * Groq LPU inference stack. Tool-use-capable; matches the per-vendor
 * "default tier" convention used by the other `DEFAULT_*_MODEL`
 * constants.
 */
export declare const DEFAULT_GROQ_MODEL = "llama-3.3-70b-versatile";
/** Default Ollama model — used as the `local-server` default too.
 * 2026-07-31 refresh: `llama3.2` (Sept 2024, 3B) was the witnessed weak-model
 * floor — safe under the governance stack but not useful (fabricated a money
 * proposal from noise). `qwen3` is the current balanced, tool-capable local
 * family. A default can be old; it can never be UNEXAMINED — see
 * MODEL_DEFAULT_REVIEW_BY below. */
export declare const DEFAULT_OLLAMA_MODEL = "qwen3";
/**
 * Canonical default model for the on-device `local-server` backend.
 * Currently aliased to `DEFAULT_OLLAMA_MODEL` — Ollama's `llama3.2` is
 * the sensible first-run default even for users who end up running
 * LM Studio / llama.cpp / vLLM. Prefer this name in new code; the
 * Ollama-specific alias is retained for places that genuinely mean
 * the Ollama model identifier.
 */
export declare const DEFAULT_LOCAL_SERVER_MODEL = "qwen3";
/** Default proxy model (used when no model is specified). */
export declare const DEFAULT_PROXY_MODEL = "claude-sonnet-4-6";
/**
 * Review-by dates for the DEFAULT_*_MODEL constants — defaults as
 * perishable inventory with a printed expiry. Model half-life is months
 * now; a default frozen at authoring time ships an old brain in a new
 * body without anyone deciding that. The rule (coverage-graduation's
 * shape applied to intelligence): a default can be old — behind-on-purpose
 * is a product choice — but it can never be UNEXAMINED. The scheduled
 * external gate (`check-model-catalog-drift`) goes red past a date with a
 * repair naming this table; the fix is a DELIBERATE human review — bump
 * the date with or without a model change. The gate never bumps a model.
 */
export declare const MODEL_DEFAULT_REVIEW_BY: Record<string, string>;
export type AnthropicModel = (typeof ANTHROPIC_MODELS)[number];
export type OpenAIModel = (typeof OPENAI_MODELS)[number];
export type GoogleModel = (typeof GOOGLE_MODELS)[number];
export type LocalServerSuggestedModel = (typeof LOCAL_SERVER_SUGGESTED_MODELS)[number];
/**
 * @deprecated since 1.0.0, removed in 3.0.0. Use {@link LocalServerSuggestedModel} instead.
 *
 * Reason: paired with {@link OLLAMA_SUGGESTED_MODELS}. Vendor-neutral
 * naming for the same underlying model set.
 */
export type OllamaSuggestedModel = LocalServerSuggestedModel;
export type ProxyModel = (typeof PROXY_MODELS)[number];
/** Best-effort vendor attribution for a model id. Registry membership
 *  first, then naming-signature heuristics for ids the registry hasn't
 *  caught up to (new dated releases must not brick startup — an
 *  `"unknown"` verdict is deliberately permissive). */
export declare function modelVendorHint(model: string): "anthropic" | "openai" | "google" | "deepseek" | "groq" | "local" | "unknown";
/**
 * Pre-flight admission: may `model` be served by `provider`?
 * Permissive where honesty demands it — `local-server` runs whatever the
 * user's server hosts, the proxy routes multiple vendors, and an
 * `"unknown"` vendor hint never blocks (the registry lags new releases).
 * It answers `false` only for a KNOWN cross-vendor mismatch — exactly
 * the class that fails opaquely at the API otherwise.
 */
export declare function providerAcceptsModel(provider: string, model: string): boolean;
/** Capability class of a model id. `unknown → "capable"` — permissive,
 *  like admission: registry lag must never lobotomize a good new model. */
export type ModelCapabilityTier = "frontier" | "capable" | "minimal";
/**
 * Best-effort capability tier for a model id.
 *
 * Resolution order:
 *   1. Ollama-style size tag (`model:NNb`) — the honest parameter signal
 *      for local pulls: under 7B → `minimal`, otherwise `capable` (a size
 *      tag never claims frontier).
 *   2. Known-small families → `minimal`.
 *   3. Frontier prefixes (with mini/nano demoted first) → `frontier`.
 *   4. Everything else — including unknown ids — → `capable`.
 *
 * Like the defaults table, this is perishable knowledge: it rides the
 * same review discipline (`MODEL_DEFAULT_REVIEW_BY`) rather than
 * pretending to be timeless.
 */
export declare function modelCapabilityTier(model: string): ModelCapabilityTier;
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