@juspay/neurolink
Version:
Universal AI Development Platform with working MCP integration, multi-provider support, voice (TTS/STT/realtime), and professional CLI. 58+ external MCP servers discoverable, multimodal file processing, RAG pipelines. Build, test, and deploy AI applicatio
625 lines (624 loc) • 23.4 kB
JavaScript
/**
* Per-token pricing data (USD per token). Updated Feb 2026.
* Sources:
* - Anthropic: https://www.anthropic.com/pricing
* - OpenAI: https://openai.com/api/pricing
* - Google: https://ai.google.dev/pricing
*
* Note: Not all supported providers have pricing data. Missing providers
* (Bedrock, Azure, Mistral, etc.) will return 0 from calculateCost().
*/
const PRICING = {
// Anthropic (direct API) — updated March 2026
anthropic: {
// Claude 4.6 family
"claude-opus-4-6": {
input: 5.0 / 1_000_000,
output: 25.0 / 1_000_000,
cacheRead: 0.5 / 1_000_000,
cacheCreation: 6.25 / 1_000_000,
},
"claude-sonnet-4-6": {
input: 3.0 / 1_000_000,
output: 15.0 / 1_000_000,
cacheRead: 0.3 / 1_000_000,
cacheCreation: 3.75 / 1_000_000,
},
// Claude 4.5 family
"claude-sonnet-4-5-20250929": {
input: 3.0 / 1_000_000,
output: 15.0 / 1_000_000,
cacheRead: 0.3 / 1_000_000,
cacheCreation: 3.75 / 1_000_000,
},
"claude-opus-4-5": {
input: 5.0 / 1_000_000,
output: 25.0 / 1_000_000,
cacheRead: 0.5 / 1_000_000,
cacheCreation: 6.25 / 1_000_000,
},
"claude-haiku-4-5-20251001": {
input: 1.0 / 1_000_000,
output: 5.0 / 1_000_000,
cacheRead: 0.1 / 1_000_000,
cacheCreation: 1.25 / 1_000_000,
},
// Claude 4.0/4.1 family
"claude-opus-4-1": {
input: 15.0 / 1_000_000,
output: 75.0 / 1_000_000,
cacheRead: 1.5 / 1_000_000,
cacheCreation: 18.75 / 1_000_000,
},
"claude-opus-4": {
input: 15.0 / 1_000_000,
output: 75.0 / 1_000_000,
cacheRead: 1.5 / 1_000_000,
cacheCreation: 18.75 / 1_000_000,
},
"claude-sonnet-4": {
input: 3.0 / 1_000_000,
output: 15.0 / 1_000_000,
cacheRead: 0.3 / 1_000_000,
cacheCreation: 3.75 / 1_000_000,
},
// Claude 3.x family
"claude-3-7-sonnet": {
input: 3.0 / 1_000_000,
output: 15.0 / 1_000_000,
cacheRead: 0.3 / 1_000_000,
cacheCreation: 3.75 / 1_000_000,
},
"claude-3-5-sonnet": {
input: 3.0 / 1_000_000,
output: 15.0 / 1_000_000,
cacheRead: 0.3 / 1_000_000,
cacheCreation: 3.75 / 1_000_000,
},
"claude-3-5-haiku": {
input: 0.8 / 1_000_000,
output: 4.0 / 1_000_000,
cacheRead: 0.08 / 1_000_000,
cacheCreation: 1.0 / 1_000_000,
},
"claude-3-opus": {
input: 15.0 / 1_000_000,
output: 75.0 / 1_000_000,
cacheRead: 1.5 / 1_000_000,
cacheCreation: 18.75 / 1_000_000,
},
"claude-3-sonnet": { input: 3.0 / 1_000_000, output: 15.0 / 1_000_000 },
"claude-3-haiku": { input: 0.25 / 1_000_000, output: 1.25 / 1_000_000 },
},
// Google Vertex AI — Claude models on Vertex (same pricing, @ date suffix)
vertex: {
"claude-sonnet-4-6": {
input: 3.0 / 1_000_000,
output: 15.0 / 1_000_000,
cacheRead: 0.3 / 1_000_000,
cacheCreation: 3.75 / 1_000_000,
},
"claude-opus-4-6": {
input: 5.0 / 1_000_000,
output: 25.0 / 1_000_000,
cacheRead: 0.5 / 1_000_000,
cacheCreation: 6.25 / 1_000_000,
},
"claude-sonnet-4-5": {
input: 3.0 / 1_000_000,
output: 15.0 / 1_000_000,
cacheRead: 0.3 / 1_000_000,
cacheCreation: 3.75 / 1_000_000,
},
"claude-opus-4-5": {
input: 5.0 / 1_000_000,
output: 25.0 / 1_000_000,
cacheRead: 0.5 / 1_000_000,
cacheCreation: 6.25 / 1_000_000,
},
"claude-haiku-4-5": {
input: 1.0 / 1_000_000,
output: 5.0 / 1_000_000,
cacheRead: 0.1 / 1_000_000,
cacheCreation: 1.25 / 1_000_000,
},
"claude-3-5-haiku": {
input: 0.8 / 1_000_000,
output: 4.0 / 1_000_000,
cacheRead: 0.08 / 1_000_000,
cacheCreation: 1.0 / 1_000_000,
},
"claude-3-5-sonnet": {
input: 3.0 / 1_000_000,
output: 15.0 / 1_000_000,
cacheRead: 0.3 / 1_000_000,
cacheCreation: 3.75 / 1_000_000,
},
},
// OpenAI — updated March 2026
openai: {
// GPT-5.x family
"gpt-5.4": { input: 2.5 / 1_000_000, output: 15.0 / 1_000_000 },
"gpt-5.2": { input: 1.75 / 1_000_000, output: 14.0 / 1_000_000 },
"gpt-5.1": { input: 0.625 / 1_000_000, output: 5.0 / 1_000_000 },
"gpt-5.1-codex": { input: 1.25 / 1_000_000, output: 10.0 / 1_000_000 },
"gpt-5": { input: 1.25 / 1_000_000, output: 10.0 / 1_000_000 },
"gpt-5-mini": { input: 0.25 / 1_000_000, output: 2.0 / 1_000_000 },
"gpt-5-nano": { input: 0.05 / 1_000_000, output: 0.4 / 1_000_000 },
// GPT-4.1 family
"gpt-4.1": { input: 2.0 / 1_000_000, output: 8.0 / 1_000_000 },
"gpt-4.1-mini": { input: 0.4 / 1_000_000, output: 1.6 / 1_000_000 },
"gpt-4.1-nano": { input: 0.1 / 1_000_000, output: 0.4 / 1_000_000 },
// GPT-4o family
"gpt-4o": { input: 2.5 / 1_000_000, output: 10.0 / 1_000_000 },
"gpt-4o-mini": { input: 0.15 / 1_000_000, output: 0.6 / 1_000_000 },
// o-series reasoning
o3: { input: 2.0 / 1_000_000, output: 8.0 / 1_000_000 },
"o3-mini": { input: 1.1 / 1_000_000, output: 4.4 / 1_000_000 },
"o4-mini": { input: 1.1 / 1_000_000, output: 4.4 / 1_000_000 },
o1: { input: 15.0 / 1_000_000, output: 60.0 / 1_000_000 },
"o1-mini": { input: 0.55 / 1_000_000, output: 2.2 / 1_000_000 },
// Legacy
"gpt-4-turbo": { input: 10.0 / 1_000_000, output: 30.0 / 1_000_000 },
"gpt-4": { input: 30.0 / 1_000_000, output: 60.0 / 1_000_000 },
"gpt-3.5-turbo": { input: 0.5 / 1_000_000, output: 1.0 / 1_000_000 },
},
// Google (Gemini) — updated March 2026
google: {
// Gemini 3.1 family (all require -preview suffix)
"gemini-3.1-pro-preview": {
input: 2.0 / 1_000_000,
output: 12.0 / 1_000_000,
},
"gemini-3.1-flash-lite-preview": {
input: 0.25 / 1_000_000,
output: 1.5 / 1_000_000,
},
"gemini-3.1-flash-image-preview": {
input: 0.5 / 1_000_000,
output: 3.0 / 1_000_000,
},
"gemini-3.1-pro-preview-customtools": {
input: 2.0 / 1_000_000,
output: 12.0 / 1_000_000,
},
// Gemini 3 family
"gemini-3-flash-preview": {
input: 0.5 / 1_000_000,
output: 3.0 / 1_000_000,
},
"gemini-3-pro-image-preview": {
input: 2.0 / 1_000_000,
output: 12.0 / 1_000_000,
},
/** @deprecated SHUT DOWN March 9, 2026. Migrate to gemini-3.1-pro-preview. */
"gemini-3-pro-preview": {
input: 2.0 / 1_000_000,
output: 12.0 / 1_000_000,
},
// Gemini 2.5 family
"gemini-2.5-flash": { input: 0.3 / 1_000_000, output: 2.5 / 1_000_000 },
"gemini-2.5-pro": { input: 1.25 / 1_000_000, output: 10.0 / 1_000_000 },
"gemini-2.5-flash-lite": {
input: 0.1 / 1_000_000,
output: 0.4 / 1_000_000,
},
// Gemini 2.0 family (deprecated June 2026)
"gemini-2.0-flash": { input: 0.15 / 1_000_000, output: 0.6 / 1_000_000 },
"gemini-2.0-flash-lite": {
input: 0.075 / 1_000_000,
output: 0.3 / 1_000_000,
},
// Gemini 1.5 family
"gemini-1.5-pro": { input: 1.25 / 1_000_000, output: 5.0 / 1_000_000 },
"gemini-1.5-flash": { input: 0.075 / 1_000_000, output: 0.3 / 1_000_000 },
},
// Mistral AI
mistral: {
"mistral-large": { input: 2.0 / 1_000_000, output: 6.0 / 1_000_000 },
"mistral-medium": { input: 2.7 / 1_000_000, output: 8.1 / 1_000_000 },
"mistral-small": { input: 0.2 / 1_000_000, output: 0.6 / 1_000_000 },
codestral: { input: 0.3 / 1_000_000, output: 0.9 / 1_000_000 },
"open-mistral-nemo": {
input: 0.15 / 1_000_000,
output: 0.15 / 1_000_000,
},
},
deepseek: {
"deepseek-chat": {
input: 0.27 / 1_000_000,
output: 1.1 / 1_000_000,
cacheRead: 0.07 / 1_000_000,
},
"deepseek-reasoner": {
input: 0.55 / 1_000_000,
output: 2.19 / 1_000_000,
cacheRead: 0.14 / 1_000_000,
},
},
"nvidia-nim": {
"meta/llama-3.3-70b-instruct": {
input: 0.4 / 1_000_000,
output: 0.4 / 1_000_000,
},
"meta/llama-3.1-405b-instruct": {
input: 1.79 / 1_000_000,
output: 1.79 / 1_000_000,
},
"meta/llama-3.1-70b-instruct": {
input: 0.4 / 1_000_000,
output: 0.4 / 1_000_000,
},
"meta/llama-3.2-90b-vision-instruct": {
input: 0.5 / 1_000_000,
output: 0.5 / 1_000_000,
},
"nvidia/llama-3.3-nemotron-super-49b-v1": {
input: 0.3 / 1_000_000,
output: 0.3 / 1_000_000,
},
"deepseek-ai/deepseek-r1": {
input: 0.55 / 1_000_000,
output: 2.19 / 1_000_000,
},
"mistralai/mixtral-8x22b-instruct-v0.1": {
input: 0.6 / 1_000_000,
output: 0.6 / 1_000_000,
},
"mistralai/mixtral-8x7b-instruct-v0.1": {
input: 0.24 / 1_000_000,
output: 0.24 / 1_000_000,
},
"microsoft/phi-4": { input: 0.07 / 1_000_000, output: 0.07 / 1_000_000 },
"google/gemma-3-27b-it": {
input: 0.07 / 1_000_000,
output: 0.07 / 1_000_000,
},
},
"lm-studio": {
// Local inference — there is no upstream USD price. Reporting a fabricated
// symbolic rate here misstated spend in analytics/spans, so the rate is
// explicitly zero. `calculateCost()` returns 0 for zero rates and the CLI
// / span renderers already treat 0 as "no billable cost" (no $ shown).
_default: { input: 0, output: 0 },
},
llamacpp: {
_default: { input: 0, output: 0 },
},
xai: {
_default: { input: 3.0 / 1_000_000, output: 15.0 / 1_000_000 },
"grok-3": { input: 3.0 / 1_000_000, output: 15.0 / 1_000_000 },
"grok-3-mini": { input: 0.3 / 1_000_000, output: 0.5 / 1_000_000 },
"grok-2-latest": { input: 2.0 / 1_000_000, output: 10.0 / 1_000_000 },
"grok-2-vision-latest": {
input: 2.0 / 1_000_000,
output: 10.0 / 1_000_000,
},
"grok-beta": { input: 5.0 / 1_000_000, output: 15.0 / 1_000_000 },
},
groq: {
_default: { input: 0.59 / 1_000_000, output: 0.79 / 1_000_000 },
"llama-3.3-70b-versatile": {
input: 0.59 / 1_000_000,
output: 0.79 / 1_000_000,
},
"llama-3.1-8b-instant": {
input: 0.05 / 1_000_000,
output: 0.08 / 1_000_000,
},
"llama-3.2-90b-vision-preview": {
input: 0.9 / 1_000_000,
output: 0.9 / 1_000_000,
},
"llama-3.2-11b-vision-preview": {
input: 0.18 / 1_000_000,
output: 0.18 / 1_000_000,
},
"gemma2-9b-it": { input: 0.2 / 1_000_000, output: 0.2 / 1_000_000 },
"mixtral-8x7b-32768": {
input: 0.24 / 1_000_000,
output: 0.24 / 1_000_000,
},
},
cohere: {
_default: { input: 2.5 / 1_000_000, output: 10.0 / 1_000_000 },
"command-r-plus": { input: 2.5 / 1_000_000, output: 10.0 / 1_000_000 },
"command-r": { input: 0.15 / 1_000_000, output: 0.6 / 1_000_000 },
"command-r7b-12-2024": {
input: 0.0375 / 1_000_000,
output: 0.15 / 1_000_000,
},
},
"together-ai": {
_default: { input: 0.88 / 1_000_000, output: 0.88 / 1_000_000 },
"meta-llama/Llama-3.3-70B-Instruct-Turbo": {
input: 0.88 / 1_000_000,
output: 0.88 / 1_000_000,
},
"meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo": {
input: 3.5 / 1_000_000,
output: 3.5 / 1_000_000,
},
"meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo": {
input: 0.88 / 1_000_000,
output: 0.88 / 1_000_000,
},
"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo": {
input: 0.18 / 1_000_000,
output: 0.18 / 1_000_000,
},
"mistralai/Mixtral-8x22B-Instruct-v0.1": {
input: 1.2 / 1_000_000,
output: 1.2 / 1_000_000,
},
"mistralai/Mixtral-8x7B-Instruct-v0.1": {
input: 0.6 / 1_000_000,
output: 0.6 / 1_000_000,
},
"Qwen/Qwen2.5-72B-Instruct-Turbo": {
input: 1.2 / 1_000_000,
output: 1.2 / 1_000_000,
},
"deepseek-ai/DeepSeek-R1": {
input: 7.0 / 1_000_000,
output: 7.0 / 1_000_000,
},
"deepseek-ai/DeepSeek-V3": {
input: 1.25 / 1_000_000,
output: 1.25 / 1_000_000,
},
},
fireworks: {
_default: { input: 0.9 / 1_000_000, output: 0.9 / 1_000_000 },
"accounts/fireworks/models/llama-v3p1-70b-instruct": {
input: 0.9 / 1_000_000,
output: 0.9 / 1_000_000,
},
"accounts/fireworks/models/llama-v3p1-405b-instruct": {
input: 3.0 / 1_000_000,
output: 3.0 / 1_000_000,
},
"accounts/fireworks/models/llama-v3p1-8b-instruct": {
input: 0.2 / 1_000_000,
output: 0.2 / 1_000_000,
},
"accounts/fireworks/models/llama-v3p3-70b-instruct": {
input: 0.9 / 1_000_000,
output: 0.9 / 1_000_000,
},
"accounts/fireworks/models/mixtral-8x22b-instruct": {
input: 1.2 / 1_000_000,
output: 1.2 / 1_000_000,
},
"accounts/fireworks/models/qwen2p5-72b-instruct": {
input: 0.9 / 1_000_000,
output: 0.9 / 1_000_000,
},
"accounts/fireworks/models/qwen2p5-coder-32b-instruct": {
input: 0.9 / 1_000_000,
output: 0.9 / 1_000_000,
},
"accounts/fireworks/models/deepseek-v3": {
input: 0.75 / 1_000_000,
output: 3.0 / 1_000_000,
},
},
perplexity: {
_default: { input: 1.0 / 1_000_000, output: 1.0 / 1_000_000 },
sonar: { input: 1.0 / 1_000_000, output: 1.0 / 1_000_000 },
"sonar-pro": { input: 3.0 / 1_000_000, output: 15.0 / 1_000_000 },
"sonar-reasoning": { input: 1.0 / 1_000_000, output: 5.0 / 1_000_000 },
"sonar-reasoning-pro": {
input: 2.0 / 1_000_000,
output: 8.0 / 1_000_000,
},
"sonar-deep-research": {
input: 2.0 / 1_000_000,
output: 8.0 / 1_000_000,
},
},
cloudflare: {
// Cloudflare bills per "neuron"; symbolic per-token rate so cost
// attribution dashboards have non-zero values.
_default: { input: 0.011 / 1_000_000, output: 0.011 / 1_000_000 },
},
replicate: {
// Replicate bills per compute-second, not per-token. Symbolic rate.
_default: { input: 0.5 / 1_000_000, output: 1.5 / 1_000_000 },
},
voyage: {
// Voyage bills per million input tokens — output dimension is the
// embedding vector, not generated tokens. We charge to input only.
_default: { input: 0.18 / 1_000_000, output: 0 },
"voyage-3.5": { input: 0.06 / 1_000_000, output: 0 },
"voyage-3.5-lite": { input: 0.02 / 1_000_000, output: 0 },
"voyage-3-large": { input: 0.18 / 1_000_000, output: 0 },
"voyage-code-3": { input: 0.18 / 1_000_000, output: 0 },
"voyage-finance-2": { input: 0.12 / 1_000_000, output: 0 },
"voyage-law-2": { input: 0.12 / 1_000_000, output: 0 },
"voyage-multilingual-2": { input: 0.12 / 1_000_000, output: 0 },
},
jina: {
_default: { input: 0.02 / 1_000_000, output: 0 },
"jina-embeddings-v3": { input: 0.02 / 1_000_000, output: 0 },
"jina-reranker-v2-base-multilingual": {
input: 0.05 / 1_000_000,
output: 0,
},
},
stability: {
// Stability AI bills per image; symbolic per-token rate.
_default: { input: 0, output: 0.04 / 1_000 },
},
ideogram: {
_default: { input: 0, output: 0.08 / 1_000 },
},
recraft: {
_default: { input: 0, output: 0.04 / 1_000 },
},
};
/**
* Map of normalized provider aliases to canonical PRICING keys.
* After stripping non-alpha characters, e.g. "google-ai" becomes "googleai".
*/
const PROVIDER_ALIASES = {
googleai: "google",
googleaistudio: "google",
googlevertex: "vertex",
anthropic: "anthropic",
openai: "openai",
vertex: "vertex",
google: "google",
mistral: "mistral",
mistralai: "mistral",
azure: "openai",
azureopenai: "openai",
bedrock: "anthropic",
amazonbedrock: "anthropic",
litellm: "__cross_provider__",
openrouter: "__cross_provider__",
openaicompatible: "__cross_provider__",
deepseek: "deepseek",
nvidianim: "nvidia-nim",
nim: "nvidia-nim",
nvidia: "nvidia-nim",
lmstudio: "lm-studio",
llamacpp: "llamacpp",
xai: "xai",
grok: "xai",
groq: "groq",
cohere: "cohere",
togetherai: "together-ai",
together: "together-ai",
fireworks: "fireworks",
perplexity: "perplexity",
pplx: "perplexity",
cloudflare: "cloudflare",
workersai: "cloudflare",
cfai: "cloudflare",
replicate: "replicate",
voyage: "voyage",
voyageai: "voyage",
jina: "jina",
jinaai: "jina",
stability: "stability",
stabilityai: "stability",
sd: "stability",
ideogram: "ideogram",
recraft: "recraft",
};
/**
* Look up per-token rates for a provider/model combination.
* Normalises the provider name via aliases, then tries an exact model match
* followed by a longest-prefix match so that e.g. "gpt-4o-2024-08-06"
* resolves to the "gpt-4o" entry without a false hit on "gpt-4".
*
* @returns The rate entry, or undefined when the combination is unknown.
*/
function findRates(provider, model) {
const stripped = provider.toLowerCase().replace(/[^a-z]/g, "");
const normalizedProvider = PROVIDER_ALIASES[stripped] ?? stripped;
// Proxy providers (LiteLLM, OpenRouter): search all known providers for a model match
if (normalizedProvider === "__cross_provider__") {
for (const providerPricing of Object.values(PRICING)) {
// Exact match
if (providerPricing[model]) {
return providerPricing[model];
}
const sortedKeys = Object.keys(providerPricing).sort((a, b) => b.length - a.length);
// model is a prefix of a known key (e.g. "claude-sonnet-4-5" matches "claude-sonnet-4-5-20250929")
const reverseKey = sortedKeys.find((k) => k.startsWith(model));
if (reverseKey) {
return providerPricing[reverseKey];
}
// Known key is a prefix of model (e.g. "gpt-4o" matches "gpt-4o-2024-08-06")
const forwardKey = sortedKeys.find((k) => model.startsWith(k));
if (forwardKey) {
return providerPricing[forwardKey];
}
}
return undefined;
}
const providerPricing = PRICING[normalizedProvider] || PRICING[provider];
if (!providerPricing) {
return undefined;
}
// Exact match
if (providerPricing[model]) {
return providerPricing[model];
}
// Longest-prefix match (skip the synthetic "_default" sentinel below)
const sortedKeys = Object.keys(providerPricing)
.filter((k) => k !== "_default")
.sort((a, b) => b.length - a.length);
const key = sortedKeys.find((k) => model.startsWith(k));
if (key) {
return providerPricing[key];
}
// Fallback: Vertex hosts both Claude and Gemini models.
// If no match found under "vertex", try "google" pricing for Gemini models.
// (Run BEFORE the provider-level _default fallback so that Vertex Gemini
// requests get the more specific Google rates rather than a generic Vertex
// _default if one is ever added.)
if (normalizedProvider === "vertex" && model.startsWith("gemini")) {
const googlePricing = PRICING["google"];
if (googlePricing) {
if (googlePricing[model]) {
return googlePricing[model];
}
const googleKeys = Object.keys(googlePricing).sort((a, b) => b.length - a.length);
const googleKey = googleKeys.find((k) => model.startsWith(k));
if (googleKey) {
return googlePricing[googleKey];
}
}
}
// Provider-level fallback: when a pricing table only has _default (or has
// no entry matching the specific model), use _default. This is mainly for
// local/symbolic providers (lm-studio, llamacpp) that don't enumerate per-
// model pricing.
if (providerPricing["_default"]) {
return providerPricing["_default"];
}
return undefined;
}
/**
* Calculate the dollar cost of a generate/stream call based on token usage.
* Returns 0 if the provider/model combination is not in the pricing table.
*/
export function calculateCost(provider, model, usage) {
const rates = findRates(provider, model);
if (!rates) {
return 0;
}
let cost = 0;
cost += (usage.input || 0) * rates.input;
cost += (usage.output || 0) * rates.output;
if (usage.cacheReadTokens && rates.cacheRead) {
cost += usage.cacheReadTokens * rates.cacheRead;
}
if (usage.cacheCreationTokens && rates.cacheCreation) {
cost += usage.cacheCreationTokens * rates.cacheCreation;
}
return Math.round(cost * 1_000_000) / 1_000_000; // Round to 6 decimal places
}
/**
* Check if pricing is available for a provider/model combination.
* Checks the rate table directly instead of computing a cost,
* so even very cheap models (e.g. gemini-1.5-flash) are detected correctly.
*
* Zero-rate entries (the local-provider `_default` for lm-studio / llamacpp)
* count as "no pricing" — those providers explicitly don't have an upstream
* USD price, and any caller gated by `hasPricing()` should treat them as
* non-billable rather than zero-cost-billable.
*/
export function hasPricing(provider, model) {
const rates = findRates(provider, model);
if (!rates) {
return false;
}
return (rates.input > 0 ||
rates.output > 0 ||
(rates.cacheRead ?? 0) > 0 ||
(rates.cacheCreation ?? 0) > 0);
}