{"description":"Original TypeScript sources. Preserve folder structure. Provider source uses zod; models.js already bundles it and needs no install.","license":"LICENSES.txt","files":[{"path":"source/packages/core/src/catalog.ts","content":"import type { ModelCatalog, ModelDescriptor, ProviderId, SourceReference } from \"./types.ts\";\n\n/** A material change between two provider catalog snapshots. */\nexport interface ModelChange {\n readonly key: string;\n readonly fields: readonly string[];\n}\n\n/** A deterministic catalog drift report. */\nexport interface CatalogDrift {\n readonly provider: ProviderId;\n readonly previousFetchedAt: string;\n readonly nextFetchedAt: string;\n readonly added: readonly string[];\n readonly removed: readonly string[];\n readonly changed: readonly ModelChange[];\n readonly hasChanges: boolean;\n}\n\n/** Compare two catalogs and report additions, removals, and material changes. */\nexport function diffCatalogs(previous: ModelCatalog, next: ModelCatalog): CatalogDrift {\n if (previous.provider !== next.provider) {\n throw new TypeError(\"Catalogs from different providers cannot be compared.\");\n }\n\n const previousByKey = new Map(previous.models.map((model) => [model.key, model]));\n const nextByKey = new Map(next.models.map((model) => [model.key, model]));\n const added = [...nextByKey.keys()].filter((key) => !previousByKey.has(key)).sort();\n const removed = [...previousByKey.keys()].filter((key) => !nextByKey.has(key)).sort();\n const changed: ModelChange[] = [];\n\n for (const [key, nextModel] of nextByKey) {\n const previousModel = previousByKey.get(key);\n if (previousModel === undefined) {\n continue;\n }\n const fields = changedFields(previousModel, nextModel);\n if (fields.length > 0) {\n changed.push({ key, fields });\n }\n }\n\n changed.sort((left, right) => left.key.localeCompare(right.key));\n return {\n provider: previous.provider,\n previousFetchedAt: previous.fetchedAt,\n nextFetchedAt: next.fetchedAt,\n added,\n removed,\n changed,\n hasChanges: added.length > 0 || removed.length > 0 || changed.length > 0,\n };\n}\n\n/** Return whether a catalog exceeds a caller-selected freshness window. */\nexport function isCatalogStale(catalog: ModelCatalog, now: Date, maxAgeMs: number): boolean {\n const fetchedAt = Date.parse(catalog.fetchedAt);\n return !Number.isFinite(fetchedAt) || now.getTime() - fetchedAt > maxAgeMs;\n}\n\n/** Build a source reference for a fetched provider response. */\nexport function liveApiSource(url: string, retrievedAt: string): SourceReference {\n return { kind: \"live-api\", url, retrievedAt };\n}\n\nfunction changedFields(previous: ModelDescriptor, next: ModelDescriptor): string[] {\n const fields: Array = [\n \"name\",\n \"description\",\n \"kind\",\n \"author\",\n \"lifecycle\",\n \"releasedAt\",\n \"contextWindow\",\n \"maxOutputTokens\",\n \"capabilities\",\n \"interfaces\",\n \"prices\",\n \"routes\",\n \"options\",\n \"constraints\",\n \"requirements\",\n ];\n return fields.filter(\n (field) => stableSerialize(previous[field]) !== stableSerialize(next[field]),\n );\n}\n\nfunction stableSerialize(value: unknown): string {\n return JSON.stringify(sortValue(value));\n}\n\nfunction sortValue(value: unknown): unknown {\n if (Array.isArray(value)) {\n return value.map(sortValue);\n }\n if (typeof value !== \"object\" || value === null) {\n return value;\n }\n return Object.fromEntries(\n Object.entries(value)\n .filter(([key]) => key !== \"raw\" && key !== \"retrievedAt\")\n .sort(([left], [right]) => left.localeCompare(right))\n .map(([key, child]) => [key, sortValue(child)]),\n );\n}\n"},{"path":"source/packages/core/src/curation.ts","content":"import type {\n EnumOptionDefinition,\n ModelCatalog,\n ModelDescriptor,\n OptionGroup,\n OptionValue,\n OptionValues,\n PriceRate,\n PriceUnit,\n} from \"./types.ts\";\nimport { selectModel, validateOptions } from \"./options.ts\";\n\n/** A model label owned by the consuming application. */\nexport interface ModelRecommendation {\n /** A provider-qualified model key or exact provider model ID. */\n readonly model: string;\n /** Short text such as \"Recommended for this app\". */\n readonly label: string;\n /** Optional longer explanation for richer interfaces. */\n readonly description?: string;\n /** Initial options applied when this model is chosen; users can still change them. */\n readonly options?: OptionValues;\n}\n\n/** Resolve an app recommendation without accepting settings the model cannot use. */\nexport function recommendedSelection(\n model: ModelDescriptor,\n recommendations: readonly ModelRecommendation[],\n) {\n const recommendation = recommendations.find(\n (item) => item.model === model.key || item.model === model.id,\n );\n return selectModel(model, recommendation?.options ?? {});\n}\n\n/** Rules that narrow a catalog without changing its provider evidence. */\nexport interface ModelCuration {\n /** Provider-qualified keys or exact provider model IDs, in preferred order. */\n readonly include?: readonly string[];\n /** Allowed values for enum options, keyed by the provider-neutral option key. */\n readonly optionValues?: Readonly>;\n}\n\n/** One immutable application policy shared by every model selector presentation. */\nexport interface ModelPolicy {\n /** Optional model allowlist and app-owned recommendation labels. */\n readonly models?: {\n readonly include?: readonly string[];\n readonly recommendations?: readonly ModelRecommendation[];\n };\n /** Option groups exposed by the UI and optional enum value limits. */\n readonly options?: {\n readonly groups?: readonly OptionGroup[];\n readonly values?: Readonly>;\n /** App-owned initial values, applied only when the selected model accepts them. */\n readonly defaults?: OptionValues;\n };\n}\n\ntype CatalogModel = TCatalogs[number][\"models\"][number];\ntype CatalogOption =\n CatalogModel[\"options\"][number];\ntype CatalogEnumOption = Extract<\n CatalogOption,\n EnumOptionDefinition\n>;\n\n/** A policy checked against literal or generated catalog model and option types. */\nexport interface ModelPolicyFor {\n readonly models?: {\n readonly include?: readonly (CatalogModel[\"id\"] | CatalogModel[\"key\"])[];\n readonly recommendations?: readonly (Omit & {\n readonly model: CatalogModel[\"id\"] | CatalogModel[\"key\"];\n })[];\n };\n readonly options?: {\n readonly groups?: readonly CatalogOption[\"group\"][];\n readonly values?: {\n readonly [\n TOption in CatalogEnumOption as TOption[\"key\"]\n ]?: readonly OptionValue[];\n };\n readonly defaults?: {\n readonly [TOption in CatalogOption as TOption[\"key\"]]?: OptionValue;\n };\n };\n}\n\n/** The catalogs and display metadata produced from one application policy. */\nexport interface ResolvedModelPolicy {\n readonly catalogs: readonly ModelCatalog[];\n readonly groups: readonly OptionGroup[];\n readonly recommendations: readonly ModelRecommendation[];\n readonly defaults: OptionValues;\n /** Unknown references or values that could not be applied to the supplied catalogs. */\n readonly diagnostics: readonly ModelPolicyDiagnostic[];\n}\n\n/** One policy entry that does not match the supplied catalog evidence. */\nexport interface ModelPolicyDiagnostic {\n readonly kind: \"default\" | \"model\" | \"option-key\" | \"option-value\" | \"recommendation\";\n readonly path: string;\n readonly message: string;\n}\n\n/** Preserve literal inference while declaring a reusable model policy. */\nexport function defineModelPolicy(policy: TPolicy): TPolicy {\n return policy;\n}\n\n/** Define a policy checked against a literal or generated catalog type. */\nexport function defineModelPolicyFor<\n const TCatalogs extends readonly ModelCatalog[],\n const TPolicy extends ModelPolicyFor,\n>(catalogs: TCatalogs, policy: TPolicy): TPolicy {\n void catalogs;\n return policy;\n}\n\n/** Apply one application policy for use by any selector presentation. */\nexport function resolveModelPolicy(\n catalogs: readonly ModelCatalog[],\n policy: ModelPolicy,\n): ResolvedModelPolicy {\n const diagnostics = policyDiagnostics(catalogs, policy);\n const curatedCatalogs = curateCatalogs(catalogs, {\n ...(policy.models?.include === undefined ? {} : { include: policy.models.include }),\n ...(policy.options?.values === undefined ? {} : { optionValues: policy.options.values }),\n });\n return {\n catalogs: curatedCatalogs,\n groups: policy.options?.groups ?? [\n \"reasoning\",\n \"speed\",\n \"routing\",\n \"caching\",\n \"beta\",\n \"generation\",\n ],\n recommendations: (policy.models?.recommendations ?? []).filter(\n (recommendation) => findModel(curatedCatalogs, recommendation.model) !== undefined,\n ),\n defaults: policy.options?.defaults ?? {},\n diagnostics,\n };\n}\n\n/** Resolve and validate app-owned defaults for one selected model. */\nexport function resolvePolicyDefaults(\n model: ModelDescriptor,\n policy: ResolvedModelPolicy,\n): OptionValues {\n const values: Record = {};\n for (const option of model.options) {\n const value = policy.defaults[option.key];\n if (value !== undefined && validateOptions([option], { [option.key]: value }).ok) {\n values[option.key] = value;\n }\n }\n reconcileConstraints(model, values);\n return values;\n}\n\n/** Return catalog copies containing only the explicitly allowed models and option values. */\nexport function curateCatalogs(\n catalogs: readonly ModelCatalog[],\n curation: ModelCuration,\n): readonly ModelCatalog[] {\n if (curation.include === undefined && curation.optionValues === undefined) {\n return catalogs;\n }\n const order =\n curation.include === undefined\n ? undefined\n : new Map(curation.include.map((reference, index) => [reference, index]));\n return catalogs.map((catalog) => ({\n ...catalog,\n models: curateModels(catalog.models, order, curation.optionValues),\n }));\n}\n\n/** Find the first model matching a provider-qualified key or exact provider ID. */\nexport function findModel(\n catalogs: readonly ModelCatalog[],\n reference: string,\n): ModelDescriptor | undefined {\n return catalogs.flatMap((catalog) => catalog.models).find((model) => matches(model, reference));\n}\n\n/**\n * Find the model with the lowest unconditional model-level rate for one unit.\n * This does not estimate route prices, conditional tiers, or a blended workload.\n */\nexport function findLowestPricedModel(\n catalogs: readonly ModelCatalog[],\n unit: PriceUnit,\n): ModelDescriptor | undefined {\n let lowest: { readonly model: ModelDescriptor; readonly rate: RationalPrice } | undefined;\n for (const model of catalogs.flatMap((catalog) => catalog.models)) {\n const price = model.prices.find((rate) => rate.unit === unit && rate.condition === undefined);\n const rate = price === undefined ? undefined : rationalPrice(price);\n if (rate !== undefined && (lowest === undefined || compare(rate, lowest.rate) < 0)) {\n lowest = { model, rate };\n }\n }\n return lowest?.model;\n}\n\ninterface RationalPrice {\n readonly numerator: bigint;\n readonly denominator: bigint;\n}\n\nfunction rationalPrice(price: PriceRate): RationalPrice | undefined {\n const match = /^(\\d+)(?:\\.(\\d+))?$/.exec(price.usd);\n if (match === null || price.per <= 0 || !Number.isSafeInteger(price.per)) {\n return undefined;\n }\n const fraction = match[2] ?? \"\";\n return {\n numerator: BigInt(`${match[1]}${fraction}`),\n denominator: 10n ** BigInt(fraction.length) * BigInt(price.per),\n };\n}\n\nfunction compare(left: RationalPrice, right: RationalPrice): number {\n const difference = left.numerator * right.denominator - right.numerator * left.denominator;\n return difference < 0n ? -1 : difference > 0n ? 1 : 0;\n}\n\nfunction modelReferenceIndex(\n model: ModelDescriptor,\n order: ReadonlyMap,\n): number | undefined {\n return order.get(model.key) ?? order.get(model.id);\n}\n\nfunction curateModels(\n models: readonly ModelDescriptor[],\n order: ReadonlyMap | undefined,\n optionValues: Readonly> | undefined,\n): readonly ModelDescriptor[] {\n const included =\n order === undefined\n ? models\n : models\n .filter((model) => modelReferenceIndex(model, order) !== undefined)\n .toSorted(\n (left, right) =>\n (modelReferenceIndex(left, order) ?? Number.MAX_SAFE_INTEGER) -\n (modelReferenceIndex(right, order) ?? Number.MAX_SAFE_INTEGER),\n );\n return optionValues === undefined\n ? included\n : included.map((model) => curateModelOptions(model, optionValues));\n}\n\nfunction curateModelOptions(\n model: ModelDescriptor,\n optionValues: Readonly> | undefined,\n): ModelDescriptor {\n return {\n ...model,\n options: model.options.flatMap((option) => {\n const allowed = optionValues?.[option.key];\n if (allowed === undefined || option.kind !== \"enum\") {\n return [option];\n }\n const values = option.values.filter((value) => allowed.includes(value));\n return values.length === 0 ? [] : [withEnumValues(option, values)];\n }),\n };\n}\n\nfunction withEnumValues(\n option: EnumOptionDefinition,\n values: readonly string[],\n): EnumOptionDefinition {\n if (option.defaultValue !== undefined && values.includes(option.defaultValue)) {\n return { ...option, values };\n }\n const { defaultValue: _defaultValue, ...withoutDefault } = option;\n return { ...withoutDefault, values };\n}\n\nfunction matches(model: ModelDescriptor, reference: string): boolean {\n return model.key === reference || model.id === reference;\n}\n\nfunction policyDiagnostics(\n catalogs: readonly ModelCatalog[],\n policy: ModelPolicy,\n): readonly ModelPolicyDiagnostic[] {\n const models = catalogs.flatMap((catalog) => catalog.models);\n const options = models.flatMap((model) => model.options);\n const diagnostics: ModelPolicyDiagnostic[] = [];\n for (const [index, reference] of (policy.models?.include ?? []).entries()) {\n if (findModel(catalogs, reference) === undefined) {\n diagnostics.push({\n kind: \"model\",\n path: `models.include[${index}]`,\n message: `No model matches ${reference}.`,\n });\n }\n }\n for (const [index, recommendation] of (policy.models?.recommendations ?? []).entries()) {\n if (findModel(catalogs, recommendation.model) === undefined) {\n diagnostics.push({\n kind: \"recommendation\",\n path: `models.recommendations[${index}].model`,\n message: `No model matches ${recommendation.model}.`,\n });\n }\n }\n for (const [key, values] of Object.entries(policy.options?.values ?? {})) {\n const definitions = options.filter((option) => option.key === key);\n if (definitions.length === 0) {\n diagnostics.push({\n kind: \"option-key\",\n path: `options.values.${key}`,\n message: `No option matches ${key}.`,\n });\n continue;\n }\n for (const value of values) {\n if (\n !definitions.some(\n (definition) => definition.kind === \"enum\" && definition.values.includes(value),\n )\n ) {\n diagnostics.push({\n kind: \"option-value\",\n path: `options.values.${key}`,\n message: `No ${key} option accepts ${value}.`,\n });\n }\n }\n }\n for (const [key, value] of Object.entries(policy.options?.defaults ?? {})) {\n const definitions = options.filter((option) => option.key === key);\n if (\n definitions.length === 0 ||\n !definitions.some((definition) => validateOptions([definition], { [key]: value }).ok)\n ) {\n diagnostics.push({\n kind: \"default\",\n path: `options.defaults.${key}`,\n message: `No ${key} option accepts this default.`,\n });\n }\n }\n return diagnostics;\n}\n\nfunction reconcileConstraints(\n model: ModelDescriptor,\n values: Record,\n): void {\n for (const constraint of model.constraints ?? []) {\n if (constraint.kind === \"less-than\") {\n const left = values[constraint.leftKey];\n const right = values[constraint.rightKey];\n if (typeof left === \"number\" && typeof right === \"number\" && left >= right) {\n delete values[constraint.leftKey];\n }\n continue;\n }\n if (values[constraint.when.key] !== constraint.when.equals) continue;\n if (constraint.kind === \"requires\" && values[constraint.key] === undefined) {\n delete values[constraint.when.key];\n }\n if (constraint.kind === \"forbids\" && values[constraint.key] !== undefined) {\n delete values[constraint.key];\n }\n }\n}\n"},{"path":"source/packages/core/src/defaults.ts","content":"import type { CapabilitySupport, ModelCapabilities, SourceReference } from \"./types.ts\";\n\n/** Create a capability statement without hiding its evidence. */\nexport function capability(\n status: CapabilitySupport[\"status\"],\n evidence: readonly SourceReference[] = [],\n note?: string,\n): CapabilitySupport {\n return {\n status,\n evidence,\n ...(note === undefined ? {} : { note }),\n };\n}\n\n/** Create an unknown capability set for sparse provider catalogs. */\nexport function unknownCapabilities(): ModelCapabilities {\n const unknown = capability(\"unknown\");\n return {\n input: {},\n output: {},\n reasoning: unknown,\n tools: unknown,\n structuredOutput: unknown,\n promptCaching: unknown,\n };\n}\n"},{"path":"source/packages/core/src/index.ts","content":"export { diffCatalogs, isCatalogStale, liveApiSource } from \"./catalog.ts\";\nexport type { CatalogDrift, ModelChange } from \"./catalog.ts\";\nexport {\n curateCatalogs,\n recommendedSelection,\n defineModelPolicy,\n defineModelPolicyFor,\n findLowestPricedModel,\n findModel,\n resolvePolicyDefaults,\n resolveModelPolicy,\n} from \"./curation.ts\";\nexport type {\n ModelCuration,\n ModelPolicy,\n ModelPolicyFor,\n ModelPolicyDiagnostic,\n ModelRecommendation,\n ResolvedModelPolicy,\n} from \"./curation.ts\";\nexport { capability, unknownCapabilities } from \"./defaults.ts\";\nexport { mapDefinedOptions, mapModelOptions } from \"./mapping.ts\";\nexport {\n defineModel,\n defineOptions,\n selectModel,\n validateConstraints,\n validateOptions,\n} from \"./options.ts\";\nexport { formatUsd, pricePerMillion } from \"./pricing.ts\";\nexport type * from \"./types.ts\";\n"},{"path":"source/packages/core/src/mapping.ts","content":"import { selectModel } from \"./options.ts\";\nimport type {\n MappedModelOptions,\n ModelDescriptor,\n OptionDefinition,\n OptionValues,\n} from \"./types.ts\";\n\n/** Validate a model selection before mapping its flat values to provider requests. */\nexport function mapModelOptions(\n model: TModel,\n values: OptionValues,\n): MappedModelOptions {\n const selection = selectModel(model, values);\n return mapDefinedOptions(model.options, selection.options);\n}\n\n/** Map validated flat option values to nested request and provider options. */\nexport function mapDefinedOptions(\n definitions: readonly OptionDefinition[],\n values: Readonly>,\n): MappedModelOptions {\n const providerOptions: Record = {};\n const requestOptions: Record = {};\n const warnings: string[] = [];\n const byKey = new Map(definitions.map((definition) => [definition.key, definition]));\n\n for (const [key, value] of Object.entries(values)) {\n const definition = byKey.get(key);\n if (definition?.target === undefined) {\n warnings.push(`${key} has no request mapping and was not applied.`);\n continue;\n }\n\n const root = definition.target.kind === \"provider-option\" ? providerOptions : requestOptions;\n const path =\n definition.target.namespace === undefined\n ? definition.target.path\n : [definition.target.namespace, ...definition.target.path];\n setNested(root, path, value);\n }\n\n return { providerOptions, requestOptions, warnings };\n}\n\nfunction setNested(target: Record, path: readonly string[], value: unknown): void {\n if (path.length === 0) {\n return;\n }\n\n let current = target;\n for (const segment of path.slice(0, -1)) {\n const existing = current[segment];\n if (typeof existing === \"object\" && existing !== null && !Array.isArray(existing)) {\n current = existing as Record;\n continue;\n }\n const nested: Record = {};\n current[segment] = nested;\n current = nested;\n }\n const last = path.at(-1);\n if (last !== undefined) {\n current[last] = value;\n }\n}\n"},{"path":"source/packages/core/src/options.ts","content":"import type {\n ModelDescriptor,\n ModelSelection,\n OptionDefinition,\n OptionValidationIssue,\n OptionValidationResult,\n OptionValues,\n} from \"./types.ts\";\n\n/** Preserve literal option definitions while checking their public shape. */\nexport function defineOptions(definitions: T): T {\n return definitions;\n}\n\n/** Preserve a model's provider and literal option types. */\nexport function defineModel(model: T): T {\n return model;\n}\n\n/** Validate dynamic values against the definitions shipped for a model. */\nexport function validateOptions(\n definitions: TDefinitions,\n values: Readonly>,\n): OptionValidationResult> {\n const byKey = new Map(definitions.map((definition) => [definition.key, definition]));\n const issues: OptionValidationIssue[] = [];\n\n for (const [key, value] of Object.entries(values)) {\n const definition = byKey.get(key);\n if (definition === undefined) {\n issues.push({ key, message: \"This option is not available for the selected model.\" });\n continue;\n }\n\n if (definition.support.status !== \"supported\") {\n issues.push({\n key,\n message: `This option is ${definition.support.status} for the selected model.`,\n });\n continue;\n }\n\n validateOptionValue(definition, value, issues);\n }\n\n for (const definition of definitions) {\n const condition = definition.visibleWhen;\n if (\n condition !== undefined &&\n values[definition.key] !== undefined &&\n values[condition.key] !== condition.equals\n ) {\n issues.push({\n key: definition.key,\n message: `This option requires ${condition.key} to equal ${String(condition.equals)}.`,\n });\n }\n }\n\n if (issues.length > 0) {\n return { ok: false, issues };\n }\n\n return { ok: true, value: values as OptionValues };\n}\n\n/** Create a type-safe selection for a literal generated model. */\nexport function selectModel(\n model: TModel,\n options: OptionValues,\n): ModelSelection {\n const result = validateOptions(model.options, options);\n if (!result.ok) {\n throw new TypeError(result.issues.map((issue) => `${issue.key}: ${issue.message}`).join(\"\\n\"));\n }\n\n const constraintIssues = validateConstraints(model, options);\n if (constraintIssues.length > 0) {\n throw new TypeError(\n constraintIssues.map((issue) => `${issue.key}: ${issue.message}`).join(\"\\n\"),\n );\n }\n\n return {\n model,\n options: result.value as OptionValues,\n };\n}\n\n/** Validate rules that depend on more than one option. */\nexport function validateConstraints(\n model: ModelDescriptor,\n values: Readonly>,\n): readonly OptionValidationIssue[] {\n const issues: OptionValidationIssue[] = [];\n for (const constraint of model.constraints ?? []) {\n if (constraint.kind === \"less-than\") {\n const left = values[constraint.leftKey];\n const right = values[constraint.rightKey];\n if (typeof left === \"number\" && typeof right === \"number\" && left >= right) {\n issues.push({ key: constraint.leftKey, message: constraint.message });\n }\n continue;\n }\n\n if (values[constraint.when.key] !== constraint.when.equals) {\n continue;\n }\n if (constraint.kind === \"requires\" && values[constraint.key] === undefined) {\n issues.push({ key: constraint.key, message: constraint.message });\n }\n if (constraint.kind === \"forbids\" && values[constraint.key] !== undefined) {\n issues.push({ key: constraint.key, message: constraint.message });\n }\n }\n return issues;\n}\n\nfunction validateOptionValue(\n definition: OptionDefinition,\n value: unknown,\n issues: OptionValidationIssue[],\n): void {\n switch (definition.kind) {\n case \"boolean\":\n if (typeof value !== \"boolean\") {\n issues.push({ key: definition.key, message: \"Expected a boolean value.\" });\n }\n return;\n case \"enum\":\n if (typeof value !== \"string\" || !definition.values.includes(value)) {\n issues.push({\n key: definition.key,\n message: `Expected one of: ${definition.values.join(\", \")}.`,\n });\n }\n return;\n case \"integer\":\n case \"number\":\n if (typeof value !== \"number\" || !Number.isFinite(value)) {\n issues.push({ key: definition.key, message: \"Expected a finite number.\" });\n return;\n }\n if (definition.kind === \"integer\" && !Number.isInteger(value)) {\n issues.push({ key: definition.key, message: \"Expected an integer.\" });\n }\n if (definition.min !== undefined && value < definition.min) {\n issues.push({ key: definition.key, message: `Expected at least ${definition.min}.` });\n }\n if (definition.max !== undefined && value > definition.max) {\n issues.push({ key: definition.key, message: `Expected at most ${definition.max}.` });\n }\n return;\n case \"string-list\":\n if (!Array.isArray(value) || value.some((item) => typeof item !== \"string\")) {\n issues.push({ key: definition.key, message: \"Expected a list of strings.\" });\n }\n }\n}\n"},{"path":"source/packages/core/src/pricing.ts","content":"import type { PriceRate, PriceUnit } from \"./types.ts\";\n\n/** Return a token price normalized to one million tokens. */\nexport function pricePerMillion(\n rates: readonly PriceRate[],\n unit: Extract,\n): string | undefined {\n const rate = rates.find(\n (candidate) => candidate.unit === unit && candidate.condition === undefined,\n );\n return rate === undefined ? undefined : scaleDecimal(rate.usd, 1_000_000, rate.per);\n}\n\n/** Format a USD price without implying more precision than the source. */\nexport function formatUsd(value: string): string {\n return `$${trimDecimal(value)}`;\n}\n\nfunction scaleDecimal(value: string, multiplier: number, divisor: number): string {\n if (\n !/^\\d+(?:\\.\\d+)?$/.test(value) ||\n !Number.isSafeInteger(multiplier) ||\n !Number.isSafeInteger(divisor)\n ) {\n throw new TypeError(\"Prices must be unsigned decimal strings with safe integer scales.\");\n }\n const [whole = \"0\", fraction = \"\"] = value.split(\".\");\n const scale = 10n ** BigInt(fraction.length);\n const integer = BigInt(`${whole}${fraction}`);\n const numerator = integer * BigInt(multiplier);\n const denominator = BigInt(divisor) * scale;\n const resultWhole = numerator / denominator;\n const remainder = numerator % denominator;\n if (remainder === 0n) {\n return resultWhole.toString();\n }\n const digits = ((remainder * 10n ** 12n) / denominator).toString().padStart(12, \"0\");\n return trimDecimal(`${resultWhole}.${digits}`);\n}\n\nfunction trimDecimal(value: string): string {\n return value.includes(\".\") ? value.replace(/0+$/, \"\").replace(/\\.$/, \"\") : value;\n}\n"},{"path":"source/packages/core/src/types.ts","content":"/** Providers maintained by the first-party adapter package. */\nexport type KnownProviderId = \"anthropic\" | \"google\" | \"openai\" | \"openrouter\" | \"vercel\";\n\n/** A known provider id or an id supplied by a third-party adapter. */\nexport type ProviderId = KnownProviderId | (string & Record);\n\n/** The origin of a catalog fact. */\nexport type EvidenceKind = \"live-api\" | \"provider-docs\" | \"generated-snapshot\" | \"user-override\";\n\n/** A dated source for one or more catalog facts. */\nexport interface SourceReference {\n readonly kind: EvidenceKind;\n readonly url: string;\n readonly retrievedAt: string;\n readonly digest?: string;\n readonly scope?: \"account\" | \"endpoint\" | \"model\" | \"provider\" | \"region\";\n}\n\n/** How strongly a source establishes a fact. */\nexport type EvidenceConfidence = \"provider-confirmed\" | \"provider-documented\" | \"inferred\";\n\n/** A value with explicit provenance. */\nexport interface Evidence {\n readonly value: T;\n readonly confidence: EvidenceConfidence;\n readonly sources: readonly SourceReference[];\n}\n\n/** Whether a provider or model supports a capability. */\nexport type SupportStatus = \"supported\" | \"unsupported\" | \"unknown\";\n\n/** An evidence-backed capability statement. */\nexport interface CapabilitySupport {\n readonly status: SupportStatus;\n readonly evidence: readonly SourceReference[];\n readonly note?: string;\n}\n\n/** Input and output media understood by model catalogs. */\nexport type Modality = \"audio\" | \"file\" | \"image\" | \"text\" | \"video\";\n\n/** Capabilities that are useful when selecting a language model. */\nexport interface ModelCapabilities {\n readonly input: Readonly>>;\n readonly output: Readonly>>;\n readonly reasoning: CapabilitySupport;\n readonly tools: CapabilitySupport;\n readonly structuredOutput: CapabilitySupport;\n readonly promptCaching: CapabilitySupport;\n}\n\n/** The unit billed by a provider. */\nexport type PriceUnit =\n | \"cache-read-token\"\n | \"cache-write-token\"\n | \"image\"\n | \"input-token\"\n | \"output-token\"\n | \"request\"\n | \"second\";\n\n/** One dated price for a model and optional condition. */\nexport interface PriceRate {\n readonly unit: PriceUnit;\n readonly usd: string;\n readonly per: number;\n readonly condition?: string;\n readonly evidence: readonly SourceReference[];\n}\n\n/** A model lifecycle label, when the source provides one. */\nexport type ModelLifecycle = \"deprecated\" | \"preview\" | \"production\" | \"unknown\";\n\n/** The broad product kind exposed by a provider model record. */\nexport type ModelKind = \"audio\" | \"embedding\" | \"image\" | \"language\" | \"system\" | \"video\";\n\n/** A provider-neutral family of model options that a host can choose to expose. */\nexport type OptionGroup = \"beta\" | \"caching\" | \"generation\" | \"reasoning\" | \"routing\" | \"speed\";\n\n/** A gateway route or hosting endpoint that can materially change behavior. */\nexport interface ModelRoute {\n readonly id: string;\n readonly provider?: string;\n readonly region?: string;\n readonly dataPolicy?: string;\n readonly capabilities?: Partial;\n readonly prices: readonly PriceRate[];\n readonly sources: readonly SourceReference[];\n readonly raw?: unknown;\n}\n\n/** A capability that needs application work beyond a selector value. */\nexport interface IntegrationRequirement {\n readonly id: string;\n readonly kind: \"beta-contract\" | \"content-annotation\" | \"response-handling\" | \"server-only\";\n readonly title: string;\n readonly description: string;\n readonly support: CapabilitySupport;\n readonly sources: readonly SourceReference[];\n}\n\n/** An API surface through which a model can be called. */\nexport type ModelInterface =\n | \"anthropic-messages\"\n | \"google-generate-content\"\n | \"google-interactions\"\n | \"openai-chat-completions\"\n | \"openai-responses\";\n\n/** A complete, evidence-backed model descriptor. */\nexport interface ModelDescriptor<\n TProvider extends ProviderId = ProviderId,\n TOptions extends readonly OptionDefinition[] = readonly OptionDefinition[],\n> {\n readonly key: `${TProvider}:${string}`;\n readonly provider: TProvider;\n readonly id: string;\n readonly name: string;\n readonly kind: ModelKind;\n readonly author?: string;\n readonly description?: string;\n readonly lifecycle: ModelLifecycle;\n readonly releasedAt?: string;\n readonly contextWindow?: Evidence;\n readonly maxOutputTokens?: Evidence;\n readonly capabilities: ModelCapabilities;\n readonly interfaces: readonly ModelInterface[];\n readonly prices: readonly PriceRate[];\n readonly routes: readonly ModelRoute[];\n readonly options: TOptions;\n readonly constraints?: readonly SelectionConstraint[];\n readonly requirements: readonly IntegrationRequirement[];\n readonly sources: readonly SourceReference[];\n readonly raw?: unknown;\n}\n\n/** A provider model-list result with freshness and raw-source evidence. */\nexport interface ModelCatalog<\n TProvider extends ProviderId = ProviderId,\n TModel extends ModelDescriptor = ModelDescriptor,\n> {\n readonly schemaVersion: 1;\n readonly provider: TProvider;\n readonly fetchedAt: string;\n readonly source: SourceReference;\n readonly models: readonly TModel[];\n}\n\n/** Credentials and dependencies supplied to model discovery. */\nexport interface DiscoveryContext {\n readonly apiKey?: string;\n readonly baseUrl?: string;\n readonly fetch?: typeof globalThis.fetch;\n readonly signal?: AbortSignal;\n}\n\n/** A provider adapter that discovers models and maps selected options. */\nexport interface ProviderAdapter<\n TProvider extends ProviderId = ProviderId,\n TModel extends ModelDescriptor = ModelDescriptor,\n> {\n readonly id: TProvider;\n readonly name: string;\n readonly catalogEndpoint: string;\n readonly requiresAuthentication: boolean;\n discover(context?: DiscoveryContext): Promise>;\n mapOptions(model: TModel, values: OptionValues): MappedModelOptions;\n}\n\n/** Provider request options produced from a model selection. */\nexport interface MappedModelOptions {\n readonly providerOptions: Readonly>;\n readonly requestOptions: Readonly>;\n readonly warnings: readonly string[];\n}\n\n/** Shared fields for every selectable option. */\nexport interface OptionDefinitionBase {\n readonly key: TKey;\n readonly kind: TKind;\n readonly label: string;\n readonly description: string;\n readonly group: OptionGroup;\n readonly support: CapabilitySupport;\n readonly target?: OptionTarget;\n readonly visibleWhen?: OptionCondition;\n}\n\n/** A condition that controls whether an option is relevant. */\nexport interface OptionCondition {\n readonly key: string;\n readonly equals: string | number | boolean;\n}\n\n/** A serializable cross-field rule checked against the complete selection. */\nexport type SelectionConstraint =\n | {\n readonly kind: \"requires\";\n readonly when: OptionCondition;\n readonly key: string;\n readonly message: string;\n }\n | {\n readonly kind: \"forbids\";\n readonly when: OptionCondition;\n readonly key: string;\n readonly message: string;\n }\n | {\n readonly kind: \"less-than\";\n readonly leftKey: string;\n readonly rightKey: string;\n readonly message: string;\n };\n\n/** The exact destination for an option in an integration request. */\nexport interface OptionTarget {\n readonly kind: \"provider-option\" | \"request-option\";\n readonly namespace?: string;\n readonly path: readonly string[];\n}\n\n/** A selectable string-valued option. */\nexport interface EnumOptionDefinition<\n TKey extends string = string,\n TValues extends readonly string[] = readonly string[],\n> extends OptionDefinitionBase {\n readonly values: TValues;\n readonly defaultValue?: TValues[number];\n}\n\n/** A selectable boolean option. */\nexport interface BooleanOptionDefinition extends OptionDefinitionBase<\n TKey,\n \"boolean\"\n> {\n readonly defaultValue?: boolean;\n}\n\n/** A selectable numeric option. */\nexport interface NumberOptionDefinition<\n TKey extends string = string,\n TKind extends \"integer\" | \"number\" = \"integer\" | \"number\",\n> extends OptionDefinitionBase {\n readonly min?: number;\n readonly max?: number;\n readonly step?: number;\n readonly defaultValue?: number;\n}\n\n/** A string-list option, useful for opt-in beta identifiers. */\nexport interface StringListOptionDefinition<\n TKey extends string = string,\n> extends OptionDefinitionBase {\n readonly suggestions?: readonly string[];\n readonly defaultValue?: readonly string[];\n}\n\n/** Any option definition understood by the core and UI packages. */\nexport type OptionDefinition =\n | BooleanOptionDefinition\n | EnumOptionDefinition\n | NumberOptionDefinition\n | StringListOptionDefinition;\n\n/** The value accepted by one option definition. */\nexport type OptionValue =\n TDefinition extends EnumOptionDefinition\n ? TValues[number]\n : TDefinition extends BooleanOptionDefinition\n ? boolean\n : TDefinition extends NumberOptionDefinition\n ? number\n : TDefinition extends StringListOptionDefinition\n ? readonly string[]\n : never;\n\n/** Option values inferred from a literal option-definition tuple. */\nexport type OptionValues = Partial<{\n [TDefinition in TDefinitions[number] as TDefinition[\"key\"]]: OptionValue;\n}>;\n\n/** A model and its validated option values. */\nexport interface ModelSelection {\n readonly model: TModel;\n readonly options: OptionValues;\n}\n\n/** One validation problem for a selected option. */\nexport interface OptionValidationIssue {\n readonly key: string;\n readonly message: string;\n}\n\n/** The result of validating dynamic option values. */\nexport type OptionValidationResult =\n | { readonly ok: true; readonly value: T }\n | { readonly ok: false; readonly issues: readonly OptionValidationIssue[] };\n"},{"path":"source/packages/elements/src/base.ts","content":"/** An HTMLElement base that keeps package imports safe during server rendering. */\nexport const ModelsHTMLElement = (\n typeof HTMLElement === \"undefined\" ? class {} : HTMLElement\n) as typeof HTMLElement;\n"},{"path":"source/packages/elements/src/composer.ts","content":"import {\n recommendedSelection,\n validateConstraints,\n validateOptions,\n type ModelCatalog,\n type ModelDescriptor,\n type ModelRecommendation,\n type ModelSelection,\n type OptionDefinition,\n type OptionValues,\n} from \"../../core/src/index.ts\";\nimport { ModelsHTMLElement } from \"./base.ts\";\nimport { emitSelectionChange, OPTIONS_CHANGE_EVENT } from \"./events.ts\";\nimport { modelGroups } from \"./grouping.ts\";\nimport type { ModelGrouping } from \"./grouping.ts\";\nimport { chevronIcon, modelIcon, type ModelIconMode } from \"./icons.ts\";\nimport { ModelsOptionsElement, type VisibleOptionGroup } from \"./options.ts\";\nimport { elementStyles } from \"./styles.ts\";\n\ntype ComposerSection = \"advanced\" | \"effort\" | \"model\" | \"speed\";\n\n/** A compact composer control that reveals model details only when opened. */\nexport class ModelsComposerElement extends ModelsHTMLElement {\n #catalogs: readonly ModelCatalog[] = [];\n #selected: ModelDescriptor | undefined;\n #options: OptionValues = {};\n #isOpen = false;\n #section: ComposerSection | undefined;\n #query = \"\";\n #groupBy: ModelGrouping = \"author\";\n #iconMode: ModelIconMode = \"none\";\n #recommendations: readonly ModelRecommendation[] = [];\n #groups: readonly VisibleOptionGroup[] = [\n \"reasoning\",\n \"speed\",\n \"routing\",\n \"caching\",\n \"beta\",\n \"generation\",\n ];\n readonly #root: ShadowRoot;\n readonly #onDocumentPointerDown = (event: Event): void => {\n if (this.#isOpen && !event.composedPath().includes(this)) {\n this.#isOpen = false;\n this.#section = undefined;\n this.render();\n }\n };\n readonly #onKeyDown = (event: Event): void => {\n if (!(event instanceof KeyboardEvent) || event.key !== \"Escape\") {\n return;\n }\n if (this.#section !== undefined) {\n const section = this.#section;\n this.#section = undefined;\n this.render();\n this.#root.querySelector(`button[data-section=\"${section}\"]`)?.focus();\n return;\n }\n this.#isOpen = false;\n this.render();\n this.#root.querySelector(\".trigger\")?.focus();\n };\n readonly #onWindowResize = (): void => this.placePopover();\n\n constructor() {\n super();\n this.#root = this.attachShadow({ mode: \"open\" });\n this.#root.addEventListener(\"keydown\", this.#onKeyDown);\n }\n\n /** Catalogs available to the composer control. */\n get catalogs(): readonly ModelCatalog[] {\n return this.#catalogs;\n }\n\n set catalogs(value: readonly ModelCatalog[]) {\n this.#catalogs = value;\n const models = languageModels(value);\n if (!models.some((model) => model.key === this.#selected?.key)) {\n this.#selected = preferredModel(models);\n this.#options = {};\n }\n this.#section = undefined;\n this.#query = \"\";\n this.render();\n }\n\n /** The current complete model and option selection. */\n get value(): ModelSelection | undefined {\n return this.#selected === undefined\n ? undefined\n : { model: this.#selected, options: this.#options };\n }\n\n set value(value: ModelSelection | undefined) {\n this.#selected = value?.model;\n this.#options = value?.options ?? {};\n this.render();\n }\n\n /** Whether the settings dialog is open. */\n get open(): boolean {\n return this.#isOpen;\n }\n\n set open(value: boolean) {\n this.#isOpen = value;\n if (!value) {\n this.#section = undefined;\n }\n this.render();\n }\n\n /** How models are grouped in the searchable model panel. */\n get groupBy(): ModelGrouping {\n return this.#groupBy;\n }\n\n set groupBy(value: ModelGrouping) {\n this.#groupBy = value;\n this.render();\n }\n\n /** Which optional brand identity is shown for models. */\n get iconMode(): ModelIconMode {\n return this.#iconMode;\n }\n\n set iconMode(value: ModelIconMode) {\n this.#iconMode = value;\n this.render();\n }\n\n /** App-owned recommendation labels shown beside matching models. */\n get recommendations(): readonly ModelRecommendation[] {\n return this.#recommendations;\n }\n\n set recommendations(value: readonly ModelRecommendation[]) {\n this.#recommendations = value;\n this.render();\n }\n\n /** Option groups available inside the composer. Use an empty list for model-only mode. */\n get groups(): readonly VisibleOptionGroup[] {\n return this.#groups;\n }\n\n set groups(value: readonly VisibleOptionGroup[]) {\n this.#groups = value;\n this.#section = undefined;\n this.render();\n }\n\n connectedCallback(): void {\n document.addEventListener(\"pointerdown\", this.#onDocumentPointerDown);\n window.addEventListener(\"resize\", this.#onWindowResize);\n this.render();\n }\n\n disconnectedCallback(): void {\n document.removeEventListener(\"pointerdown\", this.#onDocumentPointerDown);\n window.removeEventListener(\"resize\", this.#onWindowResize);\n }\n\n private render(): void {\n const selected = this.#selected;\n const effort =\n selected === undefined || !this.#groups.includes(\"reasoning\")\n ? undefined\n : findReasoningOption(selected);\n const speed =\n selected === undefined || !this.#groups.includes(\"speed\")\n ? undefined\n : findOption(selected, [\"speed.mode\", \"service.tier\"]);\n this.#root.innerHTML = `\n \n \n
\n ${this.#isOpen ? `
${this.#section === undefined ? renderMainPanel(selected, effort, speed, this.#options, this.#section, this.#groups) : renderSubmenu(this.#section, this.#catalogs, selected, effort, speed, this.#options, this.#query, this.#groupBy, this.#iconMode, this.#recommendations)}
` : \"\"}\n \n
\n `;\n this.bindEvents();\n this.bindAdvancedOptions(\n selected,\n [effort?.key, speed?.key].filter((key): key is string => key !== undefined),\n );\n this.placePopover();\n }\n\n private bindEvents(): void {\n this.#root.querySelector(\".trigger\")?.addEventListener(\"click\", () => {\n this.#isOpen = !this.#isOpen;\n this.#section = undefined;\n this.render();\n if (this.#isOpen) {\n this.#root.querySelector(\".row\")?.focus();\n }\n });\n for (const row of this.#root.querySelectorAll(\"button[data-section]\")) {\n row.addEventListener(\"click\", () => {\n const section = row.dataset.section as ComposerSection;\n this.#section = this.#section === section ? undefined : section;\n this.render();\n if (this.#section !== undefined) {\n this.focusSection(this.#section);\n }\n });\n }\n this.#root\n .querySelector(\"button[data-back]\")\n ?.addEventListener(\"click\", () => {\n const section = this.#section;\n this.#section = undefined;\n this.render();\n if (section !== undefined) {\n this.#root.querySelector(`button[data-section=\"${section}\"]`)?.focus();\n }\n });\n const search = this.#root.querySelector(\".search\");\n search?.addEventListener(\"input\", () => {\n this.#query = search.value;\n this.render();\n const nextSearch = this.#root.querySelector(\".search\");\n nextSearch?.focus();\n nextSearch?.setSelectionRange(nextSearch.value.length, nextSearch.value.length);\n });\n for (const choice of this.#root.querySelectorAll(\"button[data-model]\")) {\n choice.addEventListener(\"click\", () => {\n const model = languageModels(this.#catalogs).find(\n (candidate) => candidate.key === choice.dataset.model,\n );\n if (model === undefined) {\n return;\n }\n this.#options = recommendedSelection(model, this.#recommendations).options;\n this.#selected = model;\n const section = this.#section;\n this.#section = undefined;\n this.#query = \"\";\n this.render();\n this.emit();\n if (section !== undefined) {\n this.#root.querySelector(`button[data-section=\"${section}\"]`)?.focus();\n }\n });\n }\n for (const choice of this.#root.querySelectorAll(\"button[data-option]\")) {\n choice.addEventListener(\"click\", () => {\n const key = choice.dataset.option;\n if (key === undefined) {\n return;\n }\n const value = choice.dataset.value;\n const section = this.#section;\n const next = { ...this.#options };\n if (value === undefined || value === \"\") {\n delete next[key];\n } else {\n const definition = this.#selected?.options.find((option) => option.key === key);\n next[key] = definition?.kind === \"boolean\" ? value === \"true\" : value;\n }\n this.#options = next;\n this.#section = undefined;\n this.render();\n this.emit();\n if (section !== undefined) {\n this.#root.querySelector(`button[data-section=\"${section}\"]`)?.focus();\n }\n });\n }\n }\n\n private bindAdvancedOptions(\n selected: ModelDescriptor | undefined,\n excludedKeys: readonly string[],\n ): void {\n const options = this.#root.querySelector(\"models-options\");\n if (!(options instanceof ModelsOptionsElement)) {\n return;\n }\n options.model = selected;\n options.groups = this.#groups;\n options.excludedKeys = excludedKeys;\n options.value = this.#options;\n options.addEventListener(OPTIONS_CHANGE_EVENT, (event) => {\n this.#options = (event as CustomEvent>).detail;\n this.emit();\n });\n }\n\n private focusSection(section: ComposerSection): void {\n if (section === \"model\") {\n this.#root.querySelector(\".search\")?.focus();\n this.#root\n .querySelector(`[data-model=\"${CSS.escape(this.#selected?.key ?? \"\")}\"]`)\n ?.scrollIntoView({ block: \"center\" });\n return;\n }\n if (section === \"advanced\") {\n const options = this.#root.querySelector(\"models-options\");\n if (options instanceof ModelsOptionsElement) {\n options.shadowRoot?.querySelector(\"[data-option]\")?.focus();\n }\n return;\n }\n this.#root.querySelector(\"button[data-option]\")?.focus();\n }\n\n private placePopover(): void {\n const popover = this.#root.querySelector(\".popover\");\n if (popover === null || !this.isConnected) {\n return;\n }\n const triggerBounds = this.#root\n .querySelector(\".trigger\")\n ?.getBoundingClientRect();\n const bounds =\n triggerBounds !== undefined && triggerBounds.width > 0\n ? triggerBounds\n : this.getBoundingClientRect();\n const margin = 16;\n const width = 340;\n const horizontal =\n bounds.left + width <= window.innerWidth - margin\n ? \"start\"\n : bounds.right - width >= margin\n ? \"end\"\n : \"overlay\";\n popover.dataset.horizontal = horizontal;\n if (horizontal === \"overlay\") {\n const overlayWidth = Math.min(340, window.innerWidth - margin * 2);\n const maximumLeft = window.innerWidth - margin - overlayWidth;\n const viewportLeft = Math.min(Math.max(bounds.left, margin), maximumLeft);\n popover.style.left = `${viewportLeft - bounds.left}px`;\n } else {\n popover.style.removeProperty(\"left\");\n }\n const measuredHeight = Math.max(popover.getBoundingClientRect().height, popover.scrollHeight);\n const desiredHeight =\n measuredHeight > 0 ? measuredHeight : Math.min(440, window.innerHeight * 0.7);\n const gap = 8;\n const spaceAbove = Math.max(0, bounds.top - margin - gap);\n const spaceBelow = Math.max(0, window.innerHeight - bounds.bottom - margin - gap);\n const vertical =\n desiredHeight <= spaceAbove\n ? \"above\"\n : desiredHeight <= spaceBelow\n ? \"below\"\n : spaceAbove >= spaceBelow\n ? \"above\"\n : \"below\";\n popover.dataset.vertical = vertical;\n popover.style.setProperty(\n \"--models-popover-space\",\n `${Math.max(96, vertical === \"above\" ? spaceAbove : spaceBelow)}px`,\n );\n }\n\n private emit(): void {\n const selection = this.value;\n if (selection === undefined) {\n return;\n }\n const optionResult = validateOptions(selection.model.options, selection.options);\n if (!optionResult.ok || validateConstraints(selection.model, selection.options).length > 0) {\n return;\n }\n emitSelectionChange(this, selection);\n }\n}\n\nfunction renderMainPanel(\n model: ModelDescriptor | undefined,\n effort: OptionDefinition | undefined,\n speed: OptionDefinition | undefined,\n values: Readonly>,\n section: ComposerSection | undefined,\n groups: readonly VisibleOptionGroup[],\n): string {\n return `
\n ${renderRow(\"model\", \"Model\", model?.name ?? \"Choose\", section)}\n ${effort === undefined ? \"\" : renderRow(\"effort\", quickOptionLabel(effort, \"Reasoning\"), optionValue(effort, values), section)}\n ${speed === undefined ? \"\" : renderRow(\"speed\", quickOptionLabel(speed, \"Run speed\"), optionValue(speed, values), section)}\n ${model === undefined || !hasAdvancedOptions(model, [effort?.key, speed?.key], groups) ? \"\" : renderRow(\"advanced\", \"Advanced\", \"\", section)}\n
`;\n}\n\nfunction renderRow(\n section: ComposerSection,\n label: string,\n value: string,\n active: ComposerSection | undefined,\n): string {\n return ``;\n}\n\nfunction renderSubmenu(\n section: ComposerSection | undefined,\n catalogs: readonly ModelCatalog[],\n selected: ModelDescriptor | undefined,\n effort: OptionDefinition | undefined,\n speed: OptionDefinition | undefined,\n values: Readonly>,\n query: string,\n grouping: ModelGrouping,\n iconMode: ModelIconMode,\n recommendations: readonly ModelRecommendation[],\n): string {\n if (section === undefined) {\n return \"\";\n }\n if (section === \"advanced\") {\n return '

Advanced

';\n }\n if (section === \"model\") {\n const words = query.toLocaleLowerCase().trim().split(/\\s+/).filter(Boolean);\n const models = languageModels(catalogs).filter((model) => {\n const labels = recommendations\n .filter(\n (recommendation) =>\n recommendation.model === model.key || recommendation.model === model.id,\n )\n .map((recommendation) => recommendation.label)\n .join(\" \");\n const search =\n `${model.name} ${model.id} ${model.author ?? \"\"} ${labels}`.toLocaleLowerCase();\n return words.every((word) => search.includes(word));\n });\n return `
${models.length === 0 ? '

No matching models

' : renderModelChoices(models, selected?.key, grouping, iconMode, recommendations)}
`;\n }\n const option = section === \"effort\" ? effort : speed;\n if (option === undefined || (option.kind !== \"boolean\" && option.kind !== \"enum\")) {\n return \"\";\n }\n const current = values[option.key];\n const choices =\n option.kind === \"boolean\"\n ? `${renderOptionChoice(option, \"true\", \"On\", current)}${renderOptionChoice(option, \"false\", \"Off\", current)}`\n : option.values\n .map((value) => renderOptionChoice(option, value, titleCase(value), current))\n .join(\"\");\n return `

${escapeHtml(option.label)}

${renderOptionChoice(option, \"\", \"Provider default\", current)}${choices}
`;\n}\n\nfunction renderModelChoices(\n models: readonly ModelDescriptor[],\n selectedKey: string | undefined,\n grouping: ModelGrouping,\n iconMode: ModelIconMode,\n recommendations: readonly ModelRecommendation[],\n): string {\n const groups = modelGroups(models, grouping, recommendations);\n return [...groups]\n .map(\n ([group, values]) =>\n `${group === \"\" ? \"\" : `
${escapeHtml(group)}
`}${values.map((model) => renderModelChoice(model, selectedKey, iconMode, recommendations)).join(\"\")}`,\n )\n .join(\"\");\n}\n\nfunction renderModelChoice(\n model: ModelDescriptor,\n selectedKey: string | undefined,\n iconMode: ModelIconMode,\n recommendations: readonly ModelRecommendation[],\n): string {\n const icon = renderModelIcon(model, iconMode, \"choice-icon\");\n const labels = recommendations\n .filter(\n (recommendation) => recommendation.model === model.key || recommendation.model === model.id,\n )\n .map((recommendation) => recommendation.label)\n .join(\" · \");\n return ``;\n}\n\nfunction renderModelIcon(model: ModelDescriptor, mode: ModelIconMode, className: string): string {\n const icon = modelIcon(model, mode);\n return icon === \"\" ? \"\" : `${icon}`;\n}\n\nfunction renderOptionChoice(\n option: OptionDefinition,\n value: string,\n label: string,\n current: unknown,\n): string {\n const candidate = option.kind === \"boolean\" && value !== \"\" ? value === \"true\" : value;\n const isSelected = (current ?? \"\") === candidate;\n return ``;\n}\n\nfunction renderSummary(\n model: ModelDescriptor | undefined,\n effort: OptionDefinition | undefined,\n speed: OptionDefinition | undefined,\n values: Readonly>,\n): string {\n if (model === undefined) {\n return \"Choose a model\";\n }\n const details = [effort, speed]\n .filter((option): option is OptionDefinition => option !== undefined)\n .map((option) => selectedOptionSummary(option, values[option.key]))\n .filter((value): value is string => value !== undefined);\n return `${escapeHtml(model.name)}${details.length === 0 ? \"\" : ` ${escapeHtml(details.join(\" · \"))}`}`;\n}\n\nfunction optionValue(option: OptionDefinition, values: Readonly>): string {\n const value = values[option.key];\n return selectedOptionSummary(option, value) ?? \"Default\";\n}\n\nfunction findOption(model: ModelDescriptor, keys: readonly string[]): OptionDefinition | undefined {\n return model.options.find(\n (option) =>\n keys.includes(option.key) && option.kind === \"enum\" && option.support.status === \"supported\",\n );\n}\n\nfunction findReasoningOption(model: ModelDescriptor): OptionDefinition | undefined {\n return (\n findOption(model, [\"reasoning.effort\", \"reasoning.level\", \"reasoning.mode\"]) ??\n model.options.find(\n (option) =>\n option.group === \"reasoning\" &&\n option.kind === \"boolean\" &&\n option.support.status === \"supported\",\n )\n );\n}\n\nfunction hasAdvancedOptions(\n model: ModelDescriptor,\n excludedKeys: readonly (string | undefined)[],\n groups: readonly VisibleOptionGroup[],\n): boolean {\n return model.options.some(\n (option) =>\n option.support.status === \"supported\" &&\n groups.includes(option.group) &&\n !excludedKeys.includes(option.key),\n );\n}\n\nfunction quickOptionLabel(option: OptionDefinition, fallback: string): string {\n if (option.key === \"reasoning.effort\") {\n return \"Effort\";\n }\n if (option.key === \"speed.mode\") {\n return \"Run speed\";\n }\n return option.label || fallback;\n}\n\nfunction selectedOptionSummary(option: OptionDefinition, value: unknown): string | undefined {\n if (option.kind === \"boolean\" && typeof value === \"boolean\") {\n return value ? \"On\" : \"Off\";\n }\n return typeof value === \"string\" && value !== \"\" ? titleCase(value) : undefined;\n}\n\nfunction preferredModel(models: readonly ModelDescriptor[]): ModelDescriptor | undefined {\n return (\n models.find(\n (model) =>\n findOption(model, [\"reasoning.effort\"]) !== undefined &&\n findOption(model, [\"speed.mode\", \"service.tier\"]) !== undefined,\n ) ??\n models.find((model) => findOption(model, [\"reasoning.effort\"]) !== undefined) ??\n models[0]\n );\n}\n\nfunction languageModels(catalogs: readonly ModelCatalog[]): readonly ModelDescriptor[] {\n return catalogs.flatMap((catalog) => catalog.models).filter((model) => model.kind === \"language\");\n}\n\nfunction titleCase(value: string): string {\n if (value === \"xhigh\") {\n return \"Extra High\";\n }\n return value\n .replaceAll(/[-_]/g, \" \")\n .replace(/\\b\\w/g, (character) => character.toLocaleUpperCase());\n}\n\nfunction escapeHtml(value: string): string {\n return value.replace(\n /[&<>\"']/g,\n (character) =>\n ({ \"&\": \"&\", \"<\": \"<\", \">\": \">\", '\"': \""\", \"'\": \"'\" })[character] ??\n character,\n );\n}\n"},{"path":"source/packages/elements/src/events.ts","content":"import type { ModelDescriptor, ModelSelection } from \"../../core/src/index.ts\";\n\n/** The event name emitted when a model changes. */\nexport const MODEL_CHANGE_EVENT = \"models-model-change\";\n\n/** The event name emitted when a model selection is cleared. */\nexport const MODEL_CLEAR_EVENT = \"models-model-clear\";\n\n/** The event name emitted when a complete selection changes. */\nexport const SELECTION_CHANGE_EVENT = \"models-selection-change\";\n\n/** The event name emitted for option drafts, including temporarily invalid combinations. */\nexport const OPTIONS_CHANGE_EVENT = \"models-options-change\";\n\n/** Emit a standard bubbling, composed custom event. */\nexport function emitModelChange(target: EventTarget, model: ModelDescriptor): void {\n target.dispatchEvent(\n new CustomEvent(MODEL_CHANGE_EVENT, {\n detail: model,\n bubbles: true,\n composed: true,\n }),\n );\n}\n\n/** Emit a standard bubbling, composed model-clear event. */\nexport function emitModelClear(target: EventTarget): void {\n target.dispatchEvent(new CustomEvent(MODEL_CLEAR_EVENT, { bubbles: true, composed: true }));\n}\n\n/** Emit a complete model and option selection. */\nexport function emitSelectionChange(target: EventTarget, selection: ModelSelection): void {\n target.dispatchEvent(\n new CustomEvent(SELECTION_CHANGE_EVENT, {\n detail: selection,\n bubbles: true,\n composed: true,\n }),\n );\n}\n"},{"path":"source/packages/elements/src/generated/brandIcons.ts","content":"// Generated by pnpm icons:refresh from @lobehub/icons-static-svg. Do not edit by hand.\n\n/** Reviewed AI brand SVGs bundled without a runtime icon dependency. */\n// oxfmt-ignore\nexport const brandIcons: Readonly> = {\n \"aionlabs\": \"\",\n \"alibaba\": \"\",\n \"anthropic\": \"\",\n \"arcee\": \"\",\n \"baidu\": \"\",\n \"bedrock\": \"\",\n \"bfl\": \"\",\n \"bytedance\": \"\",\n \"claude\": \"\",\n \"cohere\": \"\",\n \"deepseek\": \"\",\n \"fishaudio\": \"\",\n \"gemini\": \"\",\n \"gemma\": \"\",\n \"google\": \"\",\n \"grok\": \"\",\n \"ibm\": \"\",\n \"inception\": \"\",\n \"kimi\": \"\",\n \"kling\": \"\",\n \"kwaipilot\": \"\",\n \"liquid\": \"\",\n \"meta\": \"\",\n \"microsoft\": \"\",\n \"minimax\": \"\",\n \"mistral\": \"\",\n \"moonshot\": \"\",\n \"morph\": \"\",\n \"nousresearch\": \"\",\n \"nova\": \"\",\n \"nvidia\": \"\",\n \"openai\": \"\",\n \"openrouter\": \"\",\n \"perplexity\": \"\",\n \"poolside\": \"\",\n \"qwen\": \"\",\n \"recraft\": \"\",\n \"relace\": \"\",\n \"stepfun\": \"\",\n \"tencent\": \"\",\n \"upstage\": \"\",\n \"vercel\": \"\",\n \"voyage\": \"\",\n \"xai\": \"\",\n \"xiaomimimo\": \"\",\n \"zai\": \"\"\n};\n\n/** Reviewed monochrome brand marks that inherit the text color. */\n// oxfmt-ignore\nexport const monochromeBrandIcons: Readonly> = {\n \"aionlabs\": \"\",\n \"alibaba\": \"\",\n \"anthropic\": \"\",\n \"arcee\": \"\",\n \"baidu\": \"\",\n \"bedrock\": \"\",\n \"bfl\": \"\",\n \"bytedance\": \"\",\n \"claude\": \"\",\n \"cohere\": \"\",\n \"deepseek\": \"\",\n \"fishaudio\": \"\",\n \"gemini\": \"\",\n \"gemma\": \"\",\n \"google\": \"\",\n \"grok\": \"\",\n \"ibm\": \"\",\n \"inception\": \"\",\n \"kimi\": \"\",\n \"kling\": \"\",\n \"kwaipilot\": \"\",\n \"liquid\": \"\",\n \"meta\": \"\",\n \"microsoft\": \"\",\n \"minimax\": \"\",\n \"mistral\": \"\",\n \"moonshot\": \"\",\n \"morph\": \"\",\n \"nousresearch\": \"\",\n \"nova\": \"\",\n \"nvidia\": \"\",\n \"openai\": \"\",\n \"openrouter\": \"\",\n \"perplexity\": \"\",\n \"poolside\": \"\",\n \"qwen\": \"\",\n \"recraft\": \"\",\n \"relace\": \"\",\n \"stepfun\": \"\",\n \"tencent\": \"\",\n \"upstage\": \"\",\n \"vercel\": \"\",\n \"voyage\": \"\",\n \"xai\": \"\",\n \"xiaomimimo\": \"\",\n \"zai\": \"\"\n};\n"},{"path":"source/packages/elements/src/grouping.ts","content":"import type { ModelDescriptor, ModelRecommendation } from \"../../core/src/index.ts\";\n\n/** Optional model-list grouping for gateway catalogs. */\nexport type ModelGrouping = \"none\" | \"author\" | ((model: ModelDescriptor) => string | undefined);\n\nexport function modelGroup(model: ModelDescriptor, grouping: ModelGrouping): string | undefined {\n if (typeof grouping === \"function\") {\n return grouping(model);\n }\n if (grouping === \"none\") {\n return undefined;\n }\n const author = model.author ?? model.id.split(\"/\")[0];\n return author === undefined || author === model.id ? \"Other\" : displayAuthor(author);\n}\n\nfunction displayAuthor(value: string): string {\n const names: Readonly> = {\n anthropic: \"Anthropic\",\n google: \"Google\",\n openai: \"OpenAI\",\n };\n return names[value.toLocaleLowerCase()] ?? titleCase(value);\n}\n\nfunction titleCase(value: string): string {\n return value.replaceAll(\"-\", \" \").replace(/\\b\\w/g, (character) => character.toLocaleUpperCase());\n}\n\n/** Recommended models lead the list once, followed by the remaining model groups. */\nexport function modelGroups(\n models: readonly ModelDescriptor[],\n grouping: ModelGrouping,\n recommendations: readonly ModelRecommendation[],\n): Map {\n const recommendedKeys = new Set(recommendations.map((item) => item.model));\n const recommended = models.filter(\n (model) => recommendedKeys.has(model.key) || recommendedKeys.has(model.id),\n );\n const groups = new Map();\n if (recommended.length > 0) groups.set(\"Recommended\", recommended);\n const selected = new Set(recommended);\n for (const model of models) {\n if (selected.has(model)) continue;\n const group =\n grouping === \"none\"\n ? recommended.length > 0\n ? \"All models\"\n : \"\"\n : (modelGroup(model, grouping) ?? \"Other\");\n const values = groups.get(group) ?? [];\n values.push(model);\n groups.set(group, values);\n }\n return groups;\n}\n"},{"path":"source/packages/elements/src/icons.ts","content":"import type { ModelDescriptor } from \"../../core/src/index.ts\";\nimport { brandIcons, monochromeBrandIcons } from \"./generated/brandIcons.ts\";\n\n/** Which identity a model control uses for its optional brand mark. */\nexport type ModelIconMode = \"model-maker\" | \"monochrome\" | \"none\";\n\n/** Return a reviewed brand mark for a model maker or serving gateway. */\nexport function modelIcon(model: ModelDescriptor, mode: ModelIconMode): string {\n if (mode === \"none\") {\n return \"\";\n }\n const slug = modelMakerSlug(model);\n return slug === undefined\n ? \"\"\n : ((mode === \"monochrome\" ? monochromeBrandIcons : brandIcons)[slug] ?? \"\");\n}\n\n/** Return a reviewed provider mark, using its brand colors when available. */\nexport function providerIcon(provider: string, mode: ModelIconMode = \"model-maker\"): string {\n if (mode === \"none\") return \"\";\n const slug = providerSlug(provider);\n return slug === undefined\n ? \"\"\n : ((mode === \"monochrome\" ? monochromeBrandIcons : brandIcons)[slug] ?? \"\");\n}\n\nfunction modelMakerSlug(model: ModelDescriptor): string | undefined {\n const identity = normalize(`${model.name} ${model.id}`);\n const families: readonly (readonly [string, string])[] = [\n [\"claude\", \"claude\"],\n [\"qwen\", \"qwen\"],\n [\"gemini\", \"gemini\"],\n [\"gemma\", \"gemma\"],\n [\"deepseek\", \"deepseek\"],\n [\"kimi\", \"kimi\"],\n [\"grok\", \"grok\"],\n [\"nova\", \"nova\"],\n ];\n const family = families.find(([needle]) => identity.includes(needle));\n return family?.[1] ?? providerSlug(model.author ?? model.provider);\n}\n\nfunction providerSlug(provider: string): string | undefined {\n const normalized = normalize(provider);\n const aliases: Readonly> = {\n aionlabs: \"aionlabs\",\n alibaba: \"alibaba\",\n amazon: \"bedrock\",\n anthropic: \"claude\",\n anthraciteorg: \"\",\n arceeai: \"arcee\",\n baidu: \"baidu\",\n bfl: \"bfl\",\n bytedance: \"bytedance\",\n bytendanceseed: \"bytedance\",\n cognitivecomputations: \"\",\n cohere: \"cohere\",\n deepseek: \"deepseek\",\n fishaudio: \"fishaudio\",\n google: \"google\",\n ibmgranite: \"ibm\",\n inception: \"inception\",\n klingai: \"kling\",\n kwaipilot: \"kwaipilot\",\n liquid: \"liquid\",\n meta: \"meta\",\n metallama: \"meta\",\n microsoft: \"microsoft\",\n minimax: \"minimax\",\n mistral: \"mistral\",\n mistralai: \"mistral\",\n moonshotai: \"moonshot\",\n morph: \"morph\",\n nousresearch: \"nousresearch\",\n nvidia: \"nvidia\",\n openai: \"openai\",\n openrouter: \"openrouter\",\n perplexity: \"perplexity\",\n poolside: \"poolside\",\n qwen: \"qwen\",\n recraft: \"recraft\",\n relace: \"relace\",\n spacexai: \"xai\",\n stepfun: \"stepfun\",\n tencent: \"tencent\",\n upstage: \"upstage\",\n vercel: \"vercel\",\n voyage: \"voyage\",\n xai: \"xai\",\n xiaomi: \"xiaomimimo\",\n zai: \"zai\",\n };\n const slug = aliases[normalized] ?? normalized;\n return slug !== \"\" && brandIcons[slug] !== undefined ? slug : undefined;\n}\n\nfunction normalize(value: string): string {\n return value.toLocaleLowerCase().replaceAll(/[^a-z0-9]/g, \"\");\n}\n\n/** Shared disclosure chevron used by model controls and their hosts. */\nexport const chevronIcon: string =\n '';\n"},{"path":"source/packages/elements/src/index.ts","content":"export {\n MODEL_CLEAR_EVENT,\n MODEL_CHANGE_EVENT,\n OPTIONS_CHANGE_EVENT,\n SELECTION_CHANGE_EVENT,\n emitModelClear,\n emitModelChange,\n emitSelectionChange,\n} from \"./events.ts\";\nexport { ModelsOptionsElement } from \"./options.ts\";\nexport type { OptionsLayout, VisibleOptionGroup } from \"./options.ts\";\nexport type { ModelGrouping } from \"./grouping.ts\";\nexport { chevronIcon, modelIcon, providerIcon } from \"./icons.ts\";\nexport type { ModelIconMode } from \"./icons.ts\";\nexport { ModelsComposerElement } from \"./composer.ts\";\nexport { ModelsPickerElement } from \"./picker.ts\";\nexport { ModelsPriceElement } from \"./price.ts\";\nexport { ModelsSelectElement } from \"./select.ts\";\nexport type { SelectDensity } from \"./select.ts\";\n\nimport { ModelsOptionsElement } from \"./options.ts\";\nimport { ModelsComposerElement } from \"./composer.ts\";\nimport { ModelsPickerElement } from \"./picker.ts\";\nimport { ModelsPriceElement } from \"./price.ts\";\nimport { ModelsSelectElement } from \"./select.ts\";\n\n/** Explicitly register the Models custom elements without import side effects. */\nexport function defineModelsElements(registry: CustomElementRegistry = customElements): void {\n defineIfMissing(registry, \"models-select\", ModelsSelectElement);\n defineIfMissing(registry, \"models-options\", ModelsOptionsElement);\n defineIfMissing(registry, \"models-price\", ModelsPriceElement);\n defineIfMissing(registry, \"models-picker\", ModelsPickerElement);\n defineIfMissing(registry, \"models-composer\", ModelsComposerElement);\n}\n\nfunction defineIfMissing(\n registry: CustomElementRegistry,\n name: string,\n constructor: CustomElementConstructor,\n): void {\n if (registry.get(name) === undefined) {\n registry.define(name, constructor);\n }\n}\n\ndeclare global {\n /** Native tag names resolve to their Models element types in TypeScript. */\n interface HTMLElementTagNameMap {\n \"models-select\": ModelsSelectElement;\n \"models-options\": ModelsOptionsElement;\n \"models-composer\": ModelsComposerElement;\n \"models-picker\": ModelsPickerElement;\n \"models-price\": ModelsPriceElement;\n }\n}\n"},{"path":"source/packages/elements/src/options.ts","content":"import {\n validateConstraints,\n validateOptions,\n type ModelDescriptor,\n type OptionDefinition,\n type OptionValues,\n} from \"../../core/src/index.ts\";\nimport { ModelsHTMLElement } from \"./base.ts\";\nimport { OPTIONS_CHANGE_EVENT } from \"./events.ts\";\nimport { chevronIcon } from \"./icons.ts\";\nimport { elementStyles } from \"./styles.ts\";\n\n/** Option groups that a host can choose to show. */\nexport type VisibleOptionGroup = OptionDefinition[\"group\"];\n\n/** Layout of generated model options. */\nexport type OptionsLayout = \"inline\" | \"stacked\";\n\n/** Framework-neutral controls generated from a model's option schema. */\nexport class ModelsOptionsElement extends ModelsHTMLElement {\n #model: ModelDescriptor | undefined;\n #values: Readonly> = {};\n #groups: readonly VisibleOptionGroup[] = [\n \"reasoning\",\n \"speed\",\n \"routing\",\n \"caching\",\n \"beta\",\n \"generation\",\n ];\n #excludedKeys: readonly string[] = [];\n #layout: OptionsLayout = \"stacked\";\n readonly #root: ShadowRoot;\n\n constructor() {\n super();\n this.#root = this.attachShadow({ mode: \"open\" });\n }\n\n /** The model whose options should be displayed. */\n get model(): ModelDescriptor | undefined {\n return this.#model;\n }\n\n set model(value: ModelDescriptor | undefined) {\n this.#model = value;\n this.render();\n }\n\n /** Current option values. */\n get value(): Readonly> {\n return this.#values;\n }\n\n set value(value: Readonly>) {\n this.#values = value;\n this.render();\n }\n\n /** Groups included by this instance. */\n get groups(): readonly VisibleOptionGroup[] {\n return this.#groups;\n }\n\n set groups(value: readonly VisibleOptionGroup[]) {\n this.#groups = value;\n this.render();\n }\n\n /** Option keys omitted by this instance. Useful when quick controls render them elsewhere. */\n get excludedKeys(): readonly string[] {\n return this.#excludedKeys;\n }\n\n set excludedKeys(value: readonly string[]) {\n this.#excludedKeys = value;\n this.render();\n }\n\n /** Layout of the generated controls. Inline mode fits a chat composer. */\n get layout(): OptionsLayout {\n return this.#layout;\n }\n\n set layout(value: OptionsLayout) {\n this.#layout = value;\n this.render();\n }\n\n connectedCallback(): void {\n this.render();\n }\n\n private render(): void {\n const model = this.#model;\n const options =\n model?.options.filter(\n (option) =>\n option.support.status === \"supported\" &&\n this.#groups.includes(option.group) &&\n !this.#excludedKeys.includes(option.key) &&\n isOptionVisible(option, model.options, this.#values),\n ) ?? [];\n if (this.#layout === \"inline\" && options.length === 0) {\n this.hidden = true;\n this.#root.innerHTML = \"\";\n return;\n }\n this.hidden = false;\n this.#root.innerHTML = `\n \n
\n ${options.length === 0 ? '

No selectable details for this view.

' : options.map((option) => renderOption(option, this.#values[option.key], this.#layout)).join(\"\")}\n ${renderIssues(model, this.#values)}\n ${this.#layout === \"stacked\" ? renderRequirements(model) : \"\"}\n
\n `;\n for (const control of this.#root.querySelectorAll(\n \"[data-option]\",\n )) {\n control.addEventListener(\"change\", () => this.onChange(control));\n }\n }\n\n private onChange(control: HTMLInputElement | HTMLSelectElement): void {\n const key = control.dataset.option;\n const model = this.#model;\n if (key === undefined || model === undefined) {\n return;\n }\n const definition = model.options.find((option) => option.key === key);\n if (definition === undefined) {\n return;\n }\n const next = { ...this.#values };\n const value = readControlValue(control, definition);\n if (value === undefined || value === \"\") {\n delete next[key];\n } else {\n next[key] = value;\n }\n this.#values = next;\n this.dispatchEvent(\n new CustomEvent(OPTIONS_CHANGE_EVENT, {\n detail: next as OptionValues,\n bubbles: true,\n composed: true,\n }),\n );\n this.render();\n this.#root.querySelector(`[data-option=\"${CSS.escape(key)}\"]`)?.focus();\n }\n}\n\nfunction renderIssues(\n model: ModelDescriptor | undefined,\n values: Readonly>,\n): string {\n if (model === undefined) {\n return \"\";\n }\n const optionResult = validateOptions(model.options, values);\n const issues = [\n ...(optionResult.ok ? [] : optionResult.issues),\n ...validateConstraints(model, values),\n ];\n return issues.length === 0\n ? \"\"\n : `
    ${issues.map((issue) => `
  • ${escapeHtml(issue.message)}
    • `).join(\"\")}
`;\n}\n\nfunction renderOption(option: OptionDefinition, value: unknown, layout: OptionsLayout): string {\n const id = `models-option-${safeId(option.key)}`;\n if (option.kind === \"boolean\") {\n const input = ``;\n const text = `${escapeHtml(option.label)}${escapeHtml(option.description)}`;\n return ``;\n }\n const control =\n option.kind === \"enum\"\n ? ``\n : option.kind === \"string-list\"\n ? ``\n : ``;\n return ``;\n}\n\nfunction isOptionVisible(\n option: OptionDefinition,\n options: readonly OptionDefinition[],\n values: Readonly>,\n): boolean {\n if (\n option.visibleWhen !== undefined &&\n values[option.visibleWhen.key] !== option.visibleWhen.equals\n ) {\n return false;\n }\n if (!option.key.endsWith(\"maxTokens\")) {\n return true;\n }\n const toggle = options.find(\n (candidate) =>\n candidate.group === option.group &&\n candidate.kind === \"boolean\" &&\n candidate.key.endsWith(\"enabled\"),\n );\n return toggle === undefined || values[toggle.key] === true;\n}\n\nfunction renderRequirements(model: ModelDescriptor | undefined): string {\n if (model === undefined || model.requirements.length === 0) {\n return \"\";\n }\n return `
Integration notes · ${model.requirements.length}${chevronIcon}
    ${model.requirements.map((requirement) => `
  • ${escapeHtml(requirement.title)}: ${escapeHtml(requirement.description)}
    • `).join(\"\")}
`;\n}\n\nfunction readControlValue(\n control: HTMLInputElement | HTMLSelectElement,\n definition: OptionDefinition,\n): unknown {\n if (definition.kind === \"boolean\" && control instanceof HTMLInputElement) {\n return control.checked;\n }\n if ((definition.kind === \"number\" || definition.kind === \"integer\") && control.value !== \"\") {\n return Number(control.value);\n }\n if (definition.kind === \"string-list\") {\n return control.value\n .split(\",\")\n .map((value) => value.trim())\n .filter(Boolean);\n }\n return control.value;\n}\n\nfunction safeId(value: string): string {\n return value.replace(/[^a-zA-Z0-9_-]/g, \"-\");\n}\n\nfunction escapeHtml(value: string): string {\n return value.replace(\n /[&<>\"']/g,\n (character) =>\n ({ \"&\": \"&\", \"<\": \"<\", \">\": \">\", '\"': \""\", \"'\": \"'\" })[character] ??\n character,\n );\n}\n"},{"path":"source/packages/elements/src/picker.ts","content":"import {\n recommendedSelection,\n validateConstraints,\n validateOptions,\n type ModelCatalog,\n type ModelDescriptor,\n type ModelRecommendation,\n type ModelSelection,\n type OptionValues,\n} from \"../../core/src/index.ts\";\nimport { ModelsHTMLElement } from \"./base.ts\";\nimport { emitSelectionChange, OPTIONS_CHANGE_EVENT } from \"./events.ts\";\nimport { modelGroups, type ModelGrouping } from \"./grouping.ts\";\nimport { modelIcon, type ModelIconMode } from \"./icons.ts\";\nimport type { OptionsLayout, VisibleOptionGroup } from \"./options.ts\";\nimport { ModelsOptionsElement } from \"./options.ts\";\nimport { ModelsPriceElement } from \"./price.ts\";\nimport { elementStyles } from \"./styles.ts\";\n\n/** A searchable, composed model picker with optional detail groups and pricing. */\nexport class ModelsPickerElement extends ModelsHTMLElement {\n #catalogs: readonly ModelCatalog[] = [];\n #selected: ModelDescriptor | undefined;\n #options: OptionValues = {};\n #groups: readonly VisibleOptionGroup[] = [\n \"reasoning\",\n \"speed\",\n \"routing\",\n \"caching\",\n \"beta\",\n \"generation\",\n ];\n #query = \"\";\n #groupBy: ModelGrouping = \"none\";\n #optionsLayout: OptionsLayout = \"stacked\";\n #iconMode: ModelIconMode = \"none\";\n #recommendations: readonly ModelRecommendation[] = [];\n readonly #root: ShadowRoot;\n\n constructor() {\n super();\n this.#root = this.attachShadow({ mode: \"open\" });\n }\n\n /** Catalogs available to the picker. */\n get catalogs(): readonly ModelCatalog[] {\n return this.#catalogs;\n }\n\n set catalogs(value: readonly ModelCatalog[]) {\n this.#catalogs = value;\n const models = value.flatMap((catalog) => catalog.models);\n if (\n this.#selected === undefined ||\n !models.some((model) => model.key === this.#selected?.key)\n ) {\n this.#selected = models[0];\n this.#options = {};\n this.#query = \"\";\n }\n this.render();\n }\n\n /** Option groups visible in the detail panel. Use an empty list for model-only mode. */\n get groups(): readonly VisibleOptionGroup[] {\n return this.#groups;\n }\n\n set groups(value: readonly VisibleOptionGroup[]) {\n this.#groups = value;\n this.render();\n }\n\n /** How the model list is grouped. Author grouping is useful for gateways. */\n get groupBy(): ModelGrouping {\n return this.#groupBy;\n }\n\n set groupBy(value: ModelGrouping) {\n this.#groupBy = value;\n this.render();\n }\n\n /** Layout used for the selected model's option controls. */\n get optionsLayout(): OptionsLayout {\n return this.#optionsLayout;\n }\n\n set optionsLayout(value: OptionsLayout) {\n this.#optionsLayout = value;\n this.render();\n }\n\n /** Which optional brand identity is shown in model rows. */\n get iconMode(): ModelIconMode {\n return this.#iconMode;\n }\n\n set iconMode(value: ModelIconMode) {\n this.#iconMode = value;\n this.render();\n }\n\n /** App-owned recommendation labels shown beside matching models. */\n get recommendations(): readonly ModelRecommendation[] {\n return this.#recommendations;\n }\n\n set recommendations(value: readonly ModelRecommendation[]) {\n this.#recommendations = value;\n this.render();\n }\n\n /** The current complete selection. */\n get value(): ModelSelection | undefined {\n return this.#selected === undefined\n ? undefined\n : { model: this.#selected, options: this.#options };\n }\n\n set value(value: ModelSelection | undefined) {\n this.#selected = value?.model;\n this.#options = value?.options ?? {};\n this.render();\n }\n\n connectedCallback(): void {\n this.render();\n }\n\n private render(): void {\n const models = this.#catalogs.flatMap((catalog) => catalog.models);\n const selected = this.#selected;\n this.#root.innerHTML = `\n \n
\n
\n
\n
${renderModels(models, selected?.key, this.#groupBy, this.#iconMode, this.#recommendations)}
\n
\n
\n ${selected === undefined ? '

No models are available.

' : renderDetailHead(selected)}\n ${selected === undefined ? \"\" : \"\"}\n
\n
\n `;\n const list = this.#root.querySelector(\"[role=listbox]\");\n const input = this.#root.querySelector(\"input[type=search]\");\n input?.addEventListener(\"input\", () => {\n this.#query = input.value;\n this.filter(this.#query);\n });\n input?.addEventListener(\"keydown\", (event) => {\n if (event.key === \"ArrowDown\") {\n event.preventDefault();\n this.visibleButtons()[0]?.focus();\n }\n });\n list?.addEventListener(\"keydown\", (event) => this.onListKeydown(event));\n for (const button of this.#root.querySelectorAll(\"button[data-key]\")) {\n button.addEventListener(\"click\", () => {\n const model = models.find((candidate) => candidate.key === button.dataset.key);\n if (model !== undefined) {\n this.#options = recommendedSelection(model, this.#recommendations).options;\n this.#selected = model;\n this.render();\n this.#root\n .querySelector(`button[data-key=\"${CSS.escape(model.key)}\"]`)\n ?.focus();\n this.emit();\n }\n });\n }\n const price = this.#root.querySelector(\"models-price\");\n if (price instanceof ModelsPriceElement) {\n price.model = selected;\n }\n const options = this.#root.querySelector(\"models-options\");\n if (options instanceof ModelsOptionsElement) {\n options.model = selected;\n options.groups = this.#groups;\n options.layout = this.#optionsLayout;\n options.value = this.#options;\n options.addEventListener(OPTIONS_CHANGE_EVENT, (event) => {\n this.#options = (event as CustomEvent>).detail;\n this.emit();\n });\n }\n this.filter(this.#query);\n }\n\n private filter(query: string): void {\n const words = query.toLocaleLowerCase().trim().split(/\\s+/).filter(Boolean);\n for (const button of this.#root.querySelectorAll(\"button[data-key]\")) {\n const haystack = button.dataset.search ?? \"\";\n button.hidden = !words.every((word) => haystack.includes(word));\n }\n for (const group of this.#root.querySelectorAll(\"[data-model-group]\")) {\n group.hidden = ![...group.querySelectorAll(\"button[data-key]\")].some(\n (button) => !button.hidden,\n );\n }\n const hasMatches = this.visibleButtons().length > 0;\n const noResults = this.#root.querySelector(\".no-results\");\n if (noResults !== null) {\n noResults.hidden = hasMatches;\n }\n const detail = this.#root.querySelector(\".detail\");\n if (detail !== null) {\n detail.hidden = !hasMatches;\n }\n }\n\n private onListKeydown(event: KeyboardEvent): void {\n if (event.key === \"Escape\") {\n this.#root.querySelector(\"input[type=search]\")?.focus();\n return;\n }\n if (![\"ArrowDown\", \"ArrowUp\", \"Home\", \"End\"].includes(event.key)) {\n return;\n }\n event.preventDefault();\n const buttons = this.visibleButtons();\n const current = buttons.indexOf(this.#root.activeElement as HTMLButtonElement);\n const index =\n event.key === \"Home\"\n ? 0\n : event.key === \"End\"\n ? buttons.length - 1\n : event.key === \"ArrowDown\"\n ? Math.min(current + 1, buttons.length - 1)\n : Math.max(current - 1, 0);\n buttons[index]?.focus();\n }\n\n private visibleButtons(): HTMLButtonElement[] {\n return [...this.#root.querySelectorAll(\"button[data-key]\")].filter(\n (button) => !button.hidden,\n );\n }\n\n private emit(): void {\n const value = this.value;\n if (value === undefined) {\n return;\n }\n const optionResult = validateOptions(value.model.options, value.options);\n if (!optionResult.ok || validateConstraints(value.model, value.options).length > 0) {\n return;\n }\n emitSelectionChange(this, value);\n }\n}\n\nfunction renderModel(\n model: ModelDescriptor,\n selected: boolean,\n isDuplicate: boolean,\n iconMode: ModelIconMode,\n recommendations: readonly ModelRecommendation[],\n): string {\n const badges = [\n model.capabilities.reasoning.status === \"supported\" ? \"reasoning\" : \"\",\n model.capabilities.tools.status === \"supported\" ? \"tools\" : \"\",\n model.contextWindow === undefined\n ? \"\"\n : `${Math.round(model.contextWindow.value / 1000)}K context`,\n ].filter(Boolean);\n const search =\n `${model.name} ${model.provider} ${model.id} ${badges.join(\" \")}`.toLocaleLowerCase();\n const icon = modelIcon(model, iconMode);\n const recommendationLabels = recommendations\n .filter((candidate) => candidate.model === model.key || candidate.model === model.id)\n .map((candidate) => candidate.label)\n .join(\" · \");\n return ``;\n}\n\nfunction renderModels(\n models: readonly ModelDescriptor[],\n selectedKey: string | undefined,\n grouping: ModelGrouping,\n iconMode: ModelIconMode,\n recommendations: readonly ModelRecommendation[],\n): string {\n const nameCounts = new Map();\n for (const model of models) {\n nameCounts.set(model.name, (nameCounts.get(model.name) ?? 0) + 1);\n }\n const render = (model: ModelDescriptor): string =>\n renderModel(\n model,\n selectedKey === model.key,\n (nameCounts.get(model.name) ?? 0) > 1,\n iconMode,\n recommendations,\n );\n const groups = modelGroups(models, grouping, recommendations);\n return [...groups]\n .map(\n ([group, values]) =>\n `
${group === \"\" ? \"\" : `
${escapeHtml(group)}
`}${values.map(render).join(\"\")}
`,\n )\n .join(\"\");\n}\n\nfunction renderDetailHead(model: ModelDescriptor): string {\n const source = model.sources[0];\n const evidence =\n source === undefined\n ? \"No source is listed.\"\n : `${source.kind} · ${source.retrievedAt.slice(0, 10)} · ${source.scope ?? \"provider\"}`;\n return `

${escapeHtml(model.name)}

${escapeHtml(model.id)}
ⓘ

${escapeHtml(evidence)}

`;\n}\n\nfunction escapeHtml(value: string): string {\n return value.replace(\n /[&<>\"']/g,\n (character) =>\n ({ \"&\": \"&\", \"<\": \"<\", \">\": \">\", '\"': \""\", \"'\": \"'\" })[character] ??\n character,\n );\n}\n"},{"path":"source/packages/elements/src/price.ts","content":"import { formatUsd, pricePerMillion, type ModelDescriptor } from \"../../core/src/index.ts\";\nimport { ModelsHTMLElement } from \"./base.ts\";\nimport { elementStyles } from \"./styles.ts\";\n\n/** An optional compact price summary for a selected model. */\nexport class ModelsPriceElement extends ModelsHTMLElement {\n #model: ModelDescriptor | undefined;\n readonly #root: ShadowRoot;\n\n constructor() {\n super();\n this.#root = this.attachShadow({ mode: \"open\" });\n }\n\n /** The model whose base token prices should be shown. */\n get model(): ModelDescriptor | undefined {\n return this.#model;\n }\n\n set model(value: ModelDescriptor | undefined) {\n this.#model = value;\n this.render();\n }\n\n connectedCallback(): void {\n this.render();\n }\n\n private render(): void {\n const model = this.#model;\n const input = model === undefined ? undefined : pricePerMillion(model.prices, \"input-token\");\n const output = model === undefined ? undefined : pricePerMillion(model.prices, \"output-token\");\n const cache =\n model === undefined ? undefined : pricePerMillion(model.prices, \"cache-read-token\");\n const items = [\n [\"Input\", input],\n [\"Output\", output],\n [\"Cached\", cache],\n ] as const;\n const listed = items.flatMap(([label, value]) =>\n value === undefined ? [] : [{ label, value }],\n );\n this.#root.innerHTML = `\n \n ${listed.length === 0 ? '

No public token price

' : `
${listed.map(({ label, value }) => priceItem(label, value)).join(\"\")}
`}\n `;\n }\n}\n\nfunction priceItem(label: string, value: string): string {\n return `
${label}
${formatUsd(value)} / 1M
`;\n}\n"},{"path":"source/packages/elements/src/select.ts","content":"import {\n recommendedSelection,\n type ModelCatalog,\n type ModelDescriptor,\n type ModelRecommendation,\n} from \"../../core/src/index.ts\";\nimport { ModelsHTMLElement } from \"./base.ts\";\nimport { emitModelChange, emitModelClear, emitSelectionChange } from \"./events.ts\";\nimport { modelGroup, type ModelGrouping } from \"./grouping.ts\";\nimport { chevronIcon, modelIcon, type ModelIconMode } from \"./icons.ts\";\nimport { elementStyles } from \"./styles.ts\";\n\n/** Visual density of the model control. */\nexport type SelectDensity = \"compact\" | \"default\";\n\nlet nextListId = 0;\n\n/** A compact, accessible, searchable model combobox. */\nexport class ModelsSelectElement extends ModelsHTMLElement {\n #catalogs: readonly ModelCatalog[] = [];\n #value = \"\";\n #groupBy: ModelGrouping = \"none\";\n #density: SelectDensity = \"default\";\n #iconMode: ModelIconMode = \"none\";\n #recommendations: readonly ModelRecommendation[] = [];\n #isOpen = false;\n #ignoreNextFocus = false;\n #query = \"\";\n #activeKey: string | undefined;\n readonly #listId = `models-select-list-${nextListId++}`;\n readonly #root: ShadowRoot;\n readonly #onDocumentPointerDown = (event: Event): void => {\n if (this.#isOpen && !event.composedPath().includes(this)) {\n this.#isOpen = false;\n this.#query = \"\";\n this.#activeKey = undefined;\n this.render();\n }\n };\n readonly #onWindowResize = (): void => this.placeList();\n readonly #onFocusOut = (event: Event): void => {\n if (!(event instanceof FocusEvent)) {\n return;\n }\n const next = event.relatedTarget;\n if (next instanceof Node && this.#root.contains(next)) {\n return;\n }\n this.#isOpen = false;\n this.#query = \"\";\n this.#activeKey = undefined;\n this.render();\n };\n\n constructor() {\n super();\n this.#root = this.attachShadow({ mode: \"open\" });\n this.#root.addEventListener(\"focusout\", this.#onFocusOut);\n }\n\n /** Catalogs shown by the search. Pass rich values through this property. */\n get catalogs(): readonly ModelCatalog[] {\n return this.#catalogs;\n }\n\n set catalogs(value: readonly ModelCatalog[]) {\n this.#catalogs = value;\n if (!value.some((catalog) => catalog.models.some((model) => model.key === this.#value))) {\n this.#value = \"\";\n }\n this.#query = \"\";\n this.#activeKey = undefined;\n this.render();\n }\n\n /** The selected provider-qualified model key. */\n get value(): string {\n return this.#value;\n }\n\n set value(value: string) {\n this.#value = value;\n this.#query = \"\";\n this.#activeKey = undefined;\n this.render();\n }\n\n /** Optional grouping used inside the open model list. */\n get groupBy(): ModelGrouping {\n return this.#groupBy;\n }\n\n set groupBy(value: ModelGrouping) {\n this.#groupBy = value;\n this.render();\n }\n\n /** Visual density of the model control. Compact mode fits a chat composer. */\n get density(): SelectDensity {\n return this.#density;\n }\n\n set density(value: SelectDensity) {\n this.#density = value;\n this.render();\n }\n\n /** Whether model-maker marks are shown beside models. */\n get iconMode(): ModelIconMode {\n return this.#iconMode;\n }\n\n set iconMode(value: ModelIconMode) {\n this.#iconMode = value;\n this.render();\n }\n\n /** Application-owned labels shown above the ordinary model groups. */\n get recommendations(): readonly ModelRecommendation[] {\n return this.#recommendations;\n }\n\n set recommendations(value: readonly ModelRecommendation[]) {\n this.#recommendations = value;\n this.render();\n }\n\n connectedCallback(): void {\n document.addEventListener(\"pointerdown\", this.#onDocumentPointerDown);\n window.addEventListener(\"resize\", this.#onWindowResize);\n this.render();\n }\n\n disconnectedCallback(): void {\n document.removeEventListener(\"pointerdown\", this.#onDocumentPointerDown);\n window.removeEventListener(\"resize\", this.#onWindowResize);\n }\n\n private render(): void {\n const models = languageModels(this.#catalogs);\n const suggestions = modelSuggestions(models, this.#listId, this.#recommendations);\n const selected = models.find((model) => model.key === this.#value);\n const selectedSuggestion = suggestions.find(\n (suggestion) => suggestion.model.key === this.#value,\n );\n const displayValue = this.#isOpen ? this.#query : (selectedSuggestion?.value ?? \"\");\n const icon = selected === undefined || this.#isOpen ? \"\" : modelIcon(selected, this.#iconMode);\n // Replacing the focused input can emit focusout before its replacement receives focus.\n this.#root.removeEventListener(\"focusout\", this.#onFocusOut);\n this.#root.innerHTML = `\n \n \n \n ${this.#isOpen ? `
${renderSuggestions(suggestions, this.#value, this.#activeKey, this.#groupBy, this.#iconMode)}
` : \"\"}\n `;\n this.#root.addEventListener(\"focusout\", this.#onFocusOut);\n this.bindEvents(suggestions);\n this.placeList();\n }\n\n private bindEvents(suggestions: readonly ModelSuggestion[]): void {\n const input = this.#root.querySelector(\"input\");\n if (input === null) {\n return;\n }\n input.addEventListener(\"focus\", () => {\n if (this.#ignoreNextFocus) {\n this.#ignoreNextFocus = false;\n return;\n }\n this.open();\n });\n input.addEventListener(\"click\", () => this.open());\n input.addEventListener(\"input\", () => {\n this.#query = input.value;\n this.#activeKey = undefined;\n if (!this.#isOpen) {\n this.#isOpen = true;\n this.render();\n const nextInput = this.#root.querySelector(\"input\");\n nextInput?.focus();\n nextInput?.setSelectionRange(nextInput.value.length, nextInput.value.length);\n return;\n }\n this.filter(input.value);\n });\n input.addEventListener(\"keydown\", (event) => this.onInputKeydown(event, suggestions));\n for (const option of this.#root.querySelectorAll(\"button[data-key]\")) {\n option.addEventListener(\"pointerdown\", (event) => event.preventDefault());\n option.addEventListener(\"click\", () => {\n const suggestion = suggestions.find(\n (candidate) => candidate.model.key === option.dataset.key,\n );\n if (suggestion !== undefined) {\n this.select(suggestion);\n }\n });\n }\n this.filter(this.#query);\n }\n\n private open(): void {\n if (this.#isOpen) {\n return;\n }\n this.#isOpen = true;\n this.#query = \"\";\n this.#activeKey = this.#value || undefined;\n this.render();\n this.#root.querySelector(\"input\")?.focus();\n this.#root\n .querySelector(`[data-key=\"${CSS.escape(this.#value)}\"]`)\n ?.scrollIntoView({ block: \"center\" });\n }\n\n private select(suggestion: ModelSuggestion): void {\n const selection = recommendedSelection(suggestion.model, this.#recommendations);\n const hasChanged = this.#value !== suggestion.model.key;\n this.#value = suggestion.model.key;\n this.#isOpen = false;\n this.#query = \"\";\n this.#activeKey = undefined;\n this.render();\n if (hasChanged) {\n emitModelChange(this, suggestion.model);\n }\n emitSelectionChange(this, selection);\n this.focusClosedInput();\n }\n\n private clear(): void {\n if (this.#value === \"\") {\n return;\n }\n this.#value = \"\";\n emitModelClear(this);\n }\n\n private filter(query: string): void {\n const words = query.toLocaleLowerCase().trim().split(/\\s+/).filter(Boolean);\n for (const option of this.#root.querySelectorAll(\"button[data-key]\")) {\n option.hidden = !words.every((word) => (option.dataset.search ?? \"\").includes(word));\n }\n for (const group of this.#root.querySelectorAll(\"[data-model-group]\")) {\n group.hidden = ![...group.querySelectorAll(\"button[data-key]\")].some(\n (option) => !option.hidden,\n );\n }\n const empty = this.#root.querySelector(\".empty\");\n if (empty !== null) {\n empty.hidden = this.visibleOptions().length > 0;\n }\n }\n\n private onInputKeydown(event: KeyboardEvent, suggestions: readonly ModelSuggestion[]): void {\n if (event.key === \"Escape\") {\n event.preventDefault();\n this.#isOpen = false;\n this.#query = \"\";\n this.#activeKey = undefined;\n this.render();\n this.focusClosedInput();\n return;\n }\n if (!this.#isOpen && [\"ArrowDown\", \"ArrowUp\", \"Enter\"].includes(event.key)) {\n event.preventDefault();\n this.open();\n return;\n }\n if (event.key === \"Enter\") {\n event.preventDefault();\n const input = event.currentTarget;\n const match = suggestions.find(\n (suggestion) =>\n suggestion.model.key === this.#activeKey ||\n (input instanceof HTMLInputElement && suggestion.value === input.value),\n );\n if (match !== undefined) {\n this.select(match);\n }\n return;\n }\n if (\n event.key === \"Backspace\" &&\n event.currentTarget instanceof HTMLInputElement &&\n event.currentTarget.value === \"\"\n ) {\n this.clear();\n return;\n }\n if (event.key !== \"ArrowDown\" && event.key !== \"ArrowUp\") {\n return;\n }\n event.preventDefault();\n const options = this.visibleOptions();\n if (options.length === 0) {\n return;\n }\n const current = options.findIndex((option) => option.dataset.key === this.#activeKey);\n const next =\n event.key === \"ArrowDown\"\n ? current < options.length - 1\n ? current + 1\n : 0\n : current > 0\n ? current - 1\n : options.length - 1;\n this.#activeKey = options[next]?.dataset.key;\n const input = this.#root.querySelector(\"input\");\n const active = options[next];\n if (input !== null && active !== undefined) {\n input.setAttribute(\"aria-activedescendant\", active.id);\n }\n for (const option of options) {\n option.classList.toggle(\"active\", option.dataset.key === this.#activeKey);\n }\n options[next]?.scrollIntoView({ block: \"nearest\" });\n }\n\n private visibleOptions(): HTMLButtonElement[] {\n return [...this.#root.querySelectorAll(\"button[data-key]\")].filter(\n (option) => !option.hidden,\n );\n }\n\n private focusClosedInput(): void {\n this.#ignoreNextFocus = true;\n this.#root.querySelector(\"input\")?.focus();\n }\n\n private placeList(): void {\n const list = this.#root.querySelector(\".list\");\n const input = this.#root.querySelector(\"input\");\n if (list === null || input === null || !this.isConnected) {\n return;\n }\n const bounds = input.getBoundingClientRect();\n const margin = 16;\n const width = Math.min(340, window.innerWidth - margin * 2);\n const maximumLeft = window.innerWidth - margin - width;\n const viewportLeft = Math.min(Math.max(bounds.left, margin), maximumLeft);\n list.style.left = `${viewportLeft - bounds.left}px`;\n const spaceAbove = bounds.top - margin - 6;\n const spaceBelow = window.innerHeight - bounds.bottom - margin - 6;\n const isAbove = spaceBelow < 220 && spaceAbove > spaceBelow;\n list.classList.toggle(\"above\", isAbove);\n list.style.setProperty(\n \"--models-list-space\",\n `${Math.max(120, isAbove ? spaceAbove : spaceBelow)}px`,\n );\n }\n}\n\ninterface ModelSuggestion {\n readonly model: ModelDescriptor;\n readonly optionId: string;\n readonly recommendationLabels: readonly string[];\n readonly value: string;\n readonly qualifier: string | undefined;\n}\n\nfunction languageModels(catalogs: readonly ModelCatalog[]): readonly ModelDescriptor[] {\n return catalogs.flatMap((catalog) => catalog.models).filter((model) => model.kind === \"language\");\n}\n\nfunction modelSuggestions(\n models: readonly ModelDescriptor[],\n listId: string,\n recommendations: readonly ModelRecommendation[],\n): readonly ModelSuggestion[] {\n const nameCounts = new Map();\n for (const model of models) {\n nameCounts.set(model.name, (nameCounts.get(model.name) ?? 0) + 1);\n }\n const baseValues = models.map((model) =>\n nameCounts.get(model.name) === 1 ? model.name : `${model.name} · ${model.id}`,\n );\n const baseCounts = new Map();\n for (const value of baseValues) {\n baseCounts.set(value, (baseCounts.get(value) ?? 0) + 1);\n }\n const usedValues = new Map();\n return models.map((model, index) => {\n const baseValue = baseValues[index] ?? model.name;\n const qualified = baseCounts.get(baseValue) === 1 ? baseValue : `${baseValue} · ${model.key}`;\n const seen = usedValues.get(qualified) ?? 0;\n usedValues.set(qualified, seen + 1);\n const value = seen === 0 ? qualified : `${qualified} · ${seen + 1}`;\n return {\n model,\n optionId: `${listId}-option-${index}`,\n recommendationLabels: recommendations\n .filter((recommendation) => [model.key, model.id].includes(recommendation.model))\n .map((recommendation) => recommendation.label),\n value,\n qualifier: value === model.name ? undefined : value.slice(model.name.length + 3),\n };\n });\n}\n\nfunction renderSuggestions(\n suggestions: readonly ModelSuggestion[],\n selectedKey: string,\n activeKey: string | undefined,\n grouping: ModelGrouping,\n iconMode: ModelIconMode,\n): string {\n const empty = '';\n const recommended = suggestions.filter(\n (suggestion) => suggestion.recommendationLabels.length > 0,\n );\n const ordinary = suggestions.filter((suggestion) => suggestion.recommendationLabels.length === 0);\n const recommendationGroup =\n recommended.length === 0\n ? \"\"\n : `
Recommended
${recommended.map((suggestion) => renderSuggestion(suggestion, selectedKey, activeKey, iconMode)).join(\"\")}
`;\n if (grouping === \"none\") {\n const ordinaryGroup =\n ordinary.length === 0\n ? \"\"\n : `
${recommended.length === 0 ? \"\" : '
All models
'}${ordinary.map((suggestion) => renderSuggestion(suggestion, selectedKey, activeKey, iconMode)).join(\"\")}
`;\n return `${recommendationGroup}${ordinaryGroup}${empty}`;\n }\n const groups = new Map();\n for (const suggestion of ordinary) {\n const group = modelGroup(suggestion.model, grouping) ?? \"Other\";\n const values = groups.get(group) ?? [];\n values.push(suggestion);\n groups.set(group, values);\n }\n return `${recommendationGroup}${[...groups]\n .map(\n ([group, values]) =>\n `
${escapeHtml(group)}
${values.map((suggestion) => renderSuggestion(suggestion, selectedKey, activeKey, iconMode)).join(\"\")}
`,\n )\n .join(\"\")}${empty}`;\n}\n\nfunction renderSuggestion(\n suggestion: ModelSuggestion,\n selectedKey: string,\n activeKey: string | undefined,\n iconMode: ModelIconMode,\n): string {\n const icon = modelIcon(suggestion.model, iconMode);\n const isSelected = suggestion.model.key === selectedKey;\n const metadata = [suggestion.qualifier, ...suggestion.recommendationLabels].filter(\n (value): value is string => value !== undefined,\n );\n return ``;\n}\n\nfunction escapeHtml(value: string): string {\n return value.replace(\n /[&<>\"']/g,\n (character) =>\n ({ \"&\": \"&\", \"<\": \"<\", \">\": \">\", '\"': \""\", \"'\": \"'\" })[character] ??\n character,\n );\n}\n"},{"path":"source/packages/elements/src/styles.ts","content":"export const elementStyles = String.raw`\n :host {\n color: inherit;\n font: var(--models-font, 13px/1.5 ui-sans-serif, system-ui, sans-serif);\n }\n * { box-sizing: border-box; }\n [hidden] { display: none !important; }\n button, input, select { font: inherit; color: inherit; }\n button:focus-visible, input:focus-visible, select:focus-visible {\n outline: 1.5px solid var(--models-focus, #2563eb);\n outline-offset: 2px;\n }\n .field { display: grid; gap: 5px; }\n .label { color: var(--models-muted, #646464); font-size: var(--models-font-small, 12px); font-weight: 500; }\n .control {\n width: 100%; min-height: var(--models-control-height, 36px); border: 1px solid var(--models-border, #d6d6d6);\n border-radius: var(--models-radius, 7px); background: var(--models-surface, #fff);\n padding: 7px 9px;\n }\n .muted { color: var(--models-muted, #646464); }\n`;\n"},{"path":"source/packages/providers/src/anthropic.ts","content":"import {\n capability,\n liveApiSource,\n mapModelOptions,\n type MappedModelOptions,\n type ModelCatalog,\n type ModelDescriptor,\n type ProviderAdapter,\n} from \"../../core/src/index.ts\";\nimport { z } from \"zod\";\nimport { baseModel, mergeCapabilities } from \"./model.ts\";\nimport { anthropicConstraints, anthropicOptions } from \"./options.ts\";\nimport { fetchProviderJson, ProviderDiscoveryError, requireApiKey } from \"./shared.ts\";\n\nconst DEFAULT_ENDPOINT = \"https://api.anthropic.com/v1/models\";\nconst responseSchema = z.object({\n data: z.array(\n z\n .object({\n id: z.string(),\n display_name: z.string().optional(),\n created_at: z.string().optional(),\n max_input_tokens: z.number().nullable().optional(),\n max_tokens: z.number().nullable().optional(),\n capabilities: z.record(z.string(), z.unknown()).nullable().optional(),\n })\n .passthrough(),\n ),\n has_more: z.boolean().optional(),\n last_id: z.string().nullable().optional(),\n});\n\n/** Discover Anthropic models and explicit capability fields with pagination. */\nexport const anthropicAdapter: ProviderAdapter<\"anthropic\"> = {\n id: \"anthropic\",\n name: \"Anthropic\",\n catalogEndpoint: DEFAULT_ENDPOINT,\n requiresAuthentication: true,\n async discover(context = {}) {\n const apiKey = requireApiKey(context, \"Anthropic\");\n const endpoint = context.baseUrl ?? DEFAULT_ENDPOINT;\n const pages: Array[\"data\"][number]> = [];\n const seenAfterIds = new Set();\n let afterId: string | undefined;\n let fetchedAt = new Date().toISOString();\n do {\n const response = await fetchProviderJson(withAfterId(endpoint, afterId), context, {\n \"anthropic-version\": \"2023-06-01\",\n \"x-api-key\": apiKey,\n });\n fetchedAt = response.fetchedAt;\n const parsed = responseSchema.parse(response.value);\n pages.push(...parsed.data);\n if (parsed.has_more === true && parsed.last_id === null) {\n throw new ProviderDiscoveryError(\"Anthropic reported another model page without a cursor.\");\n }\n afterId = parsed.has_more === true ? (parsed.last_id ?? undefined) : undefined;\n if (afterId !== undefined && seenAfterIds.has(afterId)) {\n throw new ProviderDiscoveryError(\"Anthropic returned a repeated model-list cursor.\");\n }\n if (afterId !== undefined) {\n seenAfterIds.add(afterId);\n }\n } while (afterId !== undefined);\n const source = { ...liveApiSource(endpoint, fetchedAt), scope: \"account\" as const };\n const models = pages.map((raw): ModelDescriptor<\"anthropic\"> => {\n const model = baseModel({\n provider: \"anthropic\",\n id: raw.id,\n name: raw.display_name ?? raw.id,\n source,\n raw,\n options: anthropicOptions(raw.id, raw.capabilities ?? undefined),\n });\n const capabilities = raw.capabilities ?? {};\n return {\n ...model,\n ...(raw.created_at === undefined ? {} : { releasedAt: raw.created_at }),\n ...(typeof raw.max_input_tokens !== \"number\"\n ? {}\n : {\n contextWindow: {\n value: raw.max_input_tokens,\n confidence: \"provider-confirmed\" as const,\n sources: [source],\n },\n }),\n ...(typeof raw.max_tokens !== \"number\"\n ? {}\n : {\n maxOutputTokens: {\n value: raw.max_tokens,\n confidence: \"provider-confirmed\" as const,\n sources: [source],\n },\n }),\n capabilities: mergeCapabilities(model.capabilities, {\n reasoning: capability(capabilityStatus(capabilities, [\"thinking\", \"effort\"]), [source]),\n promptCaching: capability(capabilityStatus(capabilities, [\"prompt_caching\"]), [source]),\n tools: capability(capabilityStatus(capabilities, [\"tools\", \"tool_use\"]), [source]),\n }),\n interfaces: [\"anthropic-messages\"],\n constraints: anthropicConstraints(raw.id),\n requirements: [\n {\n id: \"anthropic-cache-breakpoints\",\n kind: \"content-annotation\",\n title: \"Cache breakpoints belong to prompt content\",\n description:\n \"Selecting a cache lifetime is not enough. The application must mark stable prompt blocks.\",\n support: capability(\"supported\", model.sources),\n sources: model.sources,\n },\n ...(/claude-opus-(?:5|4-8)(?:$|-)/.test(raw.id)\n ? [\n {\n id: \"anthropic-fast-beta\",\n kind: \"beta-contract\" as const,\n title: \"Fast mode requires provider access\",\n description:\n \"The fast selection only works for accounts and requests enrolled in Anthropic fast mode.\",\n support: capability(\"supported\", model.sources),\n sources: model.sources,\n },\n ]\n : []),\n ],\n };\n });\n return {\n schemaVersion: 1,\n provider: \"anthropic\",\n fetchedAt,\n source,\n models,\n } satisfies ModelCatalog<\"anthropic\">;\n },\n mapOptions(model, values) {\n const generic = mapModelOptions(model, values);\n const anthropic = {\n ...(generic.providerOptions.anthropic as Record | undefined),\n };\n const mode = values[\"reasoning.mode\"];\n if (mode === \"adaptive\") {\n anthropic.thinking = { type: \"adaptive\" };\n } else if (mode === \"disabled\") {\n anthropic.thinking = { type: \"disabled\" };\n } else if (mode === \"enabled\") {\n anthropic.thinking = {\n type: \"enabled\",\n ...(typeof values[\"reasoning.budgetTokens\"] === \"number\"\n ? { budgetTokens: values[\"reasoning.budgetTokens\"] }\n : {}),\n };\n }\n if (typeof values[\"caching.ttl\"] === \"string\") {\n anthropic.cacheControl = { type: \"ephemeral\", ttl: values[\"caching.ttl\"] };\n }\n if (values[\"speed.mode\"] === \"fast\") {\n const betaFeatures = Array.isArray(anthropic.anthropicBeta)\n ? anthropic.anthropicBeta.filter((value): value is string => typeof value === \"string\")\n : [];\n anthropic.anthropicBeta = [...new Set([...betaFeatures, \"fast-mode-2026-02-01\"])];\n }\n return {\n ...generic,\n providerOptions: { ...generic.providerOptions, anthropic },\n } satisfies MappedModelOptions;\n },\n};\n\nfunction withAfterId(endpoint: string, afterId?: string): string {\n const url = new URL(endpoint);\n if (afterId !== undefined) {\n url.searchParams.set(\"after_id\", afterId);\n }\n return url.toString();\n}\n\nfunction capabilityStatus(\n capabilities: Record,\n names: readonly string[],\n): \"supported\" | \"unknown\" {\n for (const name of names) {\n const value = capabilities[name];\n if (value === true) {\n return \"supported\";\n }\n if (\n typeof value === \"object\" &&\n value !== null &&\n (value as { supported?: unknown }).supported === true\n ) {\n return \"supported\";\n }\n }\n return \"unknown\";\n}\n"},{"path":"source/packages/providers/src/generated/modelIds.ts","content":"// Generated by pnpm catalog:refresh. Do not edit by hand.\n\n/** Model IDs in the reviewed vercel snapshot. */\nexport const knownVercelModelIds = [\n \"alibaba/qwen-3-14b\",\n \"alibaba/qwen-3-235b\",\n \"alibaba/qwen-3-30b\",\n \"alibaba/qwen-3-32b\",\n \"alibaba/qwen-3.6-max-preview\",\n \"alibaba/qwen3-235b-a22b-thinking\",\n \"alibaba/qwen3-coder\",\n \"alibaba/qwen3-coder-30b-a3b\",\n \"alibaba/qwen3-coder-next\",\n \"alibaba/qwen3-coder-plus\",\n \"alibaba/qwen3-embedding-0.6b\",\n \"alibaba/qwen3-embedding-4b\",\n \"alibaba/qwen3-embedding-8b\",\n \"alibaba/qwen3-max\",\n \"alibaba/qwen3-max-preview\",\n \"alibaba/qwen3-max-thinking\",\n \"alibaba/qwen3-next-80b-a3b-instruct\",\n \"alibaba/qwen3-next-80b-a3b-thinking\",\n \"alibaba/qwen3-vl-235b-a22b-instruct\",\n \"alibaba/qwen3-vl-instruct\",\n \"alibaba/qwen3-vl-thinking\",\n \"alibaba/qwen3.5-flash\",\n \"alibaba/qwen3.5-plus\",\n \"alibaba/qwen3.6-27b\",\n \"alibaba/qwen3.6-plus\",\n \"alibaba/qwen3.7-flash\",\n \"alibaba/qwen3.7-max\",\n \"alibaba/qwen3.7-plus\",\n \"alibaba/qwen3.8-2.4t-a95b\",\n \"alibaba/qwen3.8-27b\",\n \"alibaba/qwen3.8-flash\",\n \"alibaba/qwen3.8-flash-next\",\n \"alibaba/qwen3.8-max\",\n \"alibaba/wan-v2.5-t2v-preview\",\n \"alibaba/wan-v2.6-i2v\",\n \"alibaba/wan-v2.6-i2v-flash\",\n \"alibaba/wan-v2.6-r2v\",\n \"alibaba/wan-v2.6-r2v-flash\",\n \"alibaba/wan-v2.6-t2v\",\n \"alibaba/wan-v2.7-r2v\",\n \"alibaba/wan-v2.7-t2v\",\n \"alibaba/wan-v3.0-video\",\n \"alibaba/wan-v3.0-video-prime\",\n \"amazon/nova-2-lite\",\n \"amazon/nova-lite\",\n \"amazon/nova-micro\",\n \"amazon/nova-pro\",\n \"amazon/titan-embed-text-v2\",\n \"anthropic/claude-3-haiku\",\n \"anthropic/claude-fable-5\",\n \"anthropic/claude-haiku-4.5\",\n \"anthropic/claude-opus-4\",\n \"anthropic/claude-opus-4.5\",\n \"anthropic/claude-opus-4.6\",\n \"anthropic/claude-opus-4.7\",\n \"anthropic/claude-opus-4.8\",\n \"anthropic/claude-opus-4.8-fast\",\n \"anthropic/claude-opus-5\",\n \"anthropic/claude-opus-5-fast\",\n \"anthropic/claude-sonnet-4\",\n \"anthropic/claude-sonnet-4.5\",\n \"anthropic/claude-sonnet-4.6\",\n \"anthropic/claude-sonnet-5\",\n \"arcee-ai/trinity-large-thinking\",\n \"bfl/flux-2-flex\",\n \"bfl/flux-2-klein-4b\",\n \"bfl/flux-2-klein-9b\",\n \"bfl/flux-2-max\",\n \"bfl/flux-2-pro\",\n \"bfl/flux-3-video\",\n \"bfl/flux-kontext-max\",\n \"bfl/flux-kontext-pro\",\n \"bfl/flux-pro-1.0-fill\",\n \"bfl/flux-pro-1.1\",\n \"bfl/flux-pro-1.1-ultra\",\n \"bytedance/seed-1.6\",\n \"bytedance/seed-1.8\",\n \"bytedance/seedance-2.0\",\n \"bytedance/seedance-2.0-fast\",\n \"bytedance/seedance-2.0-mini\",\n \"bytedance/seedance-2.5\",\n \"bytedance/seedance-v1.0-pro\",\n \"bytedance/seedance-v1.0-pro-fast\",\n \"bytedance/seedance-v1.5-pro\",\n \"bytedance/seedream-4.0\",\n \"bytedance/seedream-4.5\",\n \"bytedance/seedream-5.0-lite\",\n \"bytedance/seedream-5.0-pro\",\n \"cohere/command-a\",\n \"cohere/embed-v4.0\",\n \"cohere/rerank-v3.5\",\n \"cohere/rerank-v4-fast\",\n \"cohere/rerank-v4-pro\",\n \"deepseek/deepseek-r1\",\n \"deepseek/deepseek-v3\",\n \"deepseek/deepseek-v3.1\",\n \"deepseek/deepseek-v3.1-terminus\",\n \"deepseek/deepseek-v3.2\",\n \"deepseek/deepseek-v3.2-thinking\",\n \"deepseek/deepseek-v4-flash\",\n \"deepseek/deepseek-v4-flash-0731\",\n \"deepseek/deepseek-v4-flash-vision-exp\",\n \"deepseek/deepseek-v4-pro\",\n \"deepseek/deepseek-v4-pro-0813\",\n \"fish-audio/s1\",\n \"fish-audio/s1-free\",\n \"fish-audio/s2-pro\",\n \"fish-audio/s2-pro-free\",\n \"fish-audio/s2.1-pro\",\n \"fish-audio/s2.1-pro-free\",\n \"fish-audio/transcribe-1\",\n \"fish-audio/transcribe-1-free\",\n \"google/gemini-2.5-flash\",\n \"google/gemini-2.5-flash-image\",\n \"google/gemini-2.5-flash-lite\",\n \"google/gemini-2.5-pro\",\n \"google/gemini-3-flash\",\n \"google/gemini-3-pro-image\",\n \"google/gemini-3.1-flash-image\",\n \"google/gemini-3.1-flash-image-preview\",\n \"google/gemini-3.1-flash-lite\",\n \"google/gemini-3.1-flash-lite-image\",\n \"google/gemini-3.1-pro-preview\",\n \"google/gemini-3.5-flash\",\n \"google/gemini-3.5-flash-lite\",\n \"google/gemini-3.5-transcribe\",\n \"google/gemini-3.5-transcribe-live\",\n \"google/gemini-3.6-flash\",\n \"google/gemini-3.7-flash\",\n \"google/gemini-embedding-001\",\n \"google/gemini-embedding-2\",\n \"google/gemini-omni-flash-preview\",\n \"google/gemma-4-26b-a4b-it\",\n \"google/gemma-4-31b-it\",\n \"google/text-embedding-005\",\n \"google/text-multilingual-embedding-002\",\n \"google/veo-3.0-fast-generate-001\",\n \"google/veo-3.0-generate-001\",\n \"google/veo-3.1-fast-generate-001\",\n \"google/veo-3.1-generate-001\",\n \"google/veo-3.1-lite-generate-001\",\n \"inception/mercury-2\",\n \"inception/mercury-coder-small\",\n \"inclusionai/ling-3.0-flash\",\n \"inclusionai/ling-3.0-flash-fin\",\n \"inclusionai/ling-3.0-flash-fin-free\",\n \"interfaze/interfaze-beta\",\n \"klingai/kling-v2.5-turbo-i2v\",\n \"klingai/kling-v2.5-turbo-t2v\",\n \"klingai/kling-v2.6-i2v\",\n \"klingai/kling-v2.6-motion-control\",\n \"klingai/kling-v2.6-t2v\",\n \"klingai/kling-v3.0-i2v\",\n \"klingai/kling-v3.0-motion-control\",\n \"klingai/kling-v3.0-t2v\",\n \"kwaipilot/kat-coder-air-v2.5\",\n \"kwaipilot/kat-coder-pro-v1\",\n \"kwaipilot/kat-coder-pro-v2\",\n \"kwaipilot/kat-coder-pro-v2.5\",\n \"meta/llama-3.1-70b\",\n \"meta/llama-3.1-8b\",\n \"meta/llama-3.3-70b\",\n \"meta/llama-4-maverick\",\n \"meta/llama-4-scout\",\n \"meta/muse-glimmer-30b\",\n \"meta/muse-image-1.0\",\n \"meta/muse-spark-1.1\",\n \"meta/muse-spark-1.2\",\n \"meta/muse-spark-1.2-contributor\",\n \"minimax/minimax-h3\",\n \"minimax/minimax-h3-max\",\n \"minimax/minimax-m2\",\n \"minimax/minimax-m2.1\",\n \"minimax/minimax-m2.1-lightning\",\n \"minimax/minimax-m2.5\",\n \"minimax/minimax-m2.5-highspeed\",\n \"minimax/minimax-m2.7\",\n \"minimax/minimax-m2.7-free\",\n \"minimax/minimax-m2.7-highspeed\",\n \"minimax/minimax-m3\",\n \"minimax/minimax-m3-free\",\n \"mistral/codestral\",\n \"mistral/codestral-embed\",\n \"mistral/devstral-2\",\n \"mistral/devstral-small-2\",\n \"mistral/ministral-14b\",\n \"mistral/ministral-3b\",\n \"mistral/ministral-8b\",\n \"mistral/mistral-embed\",\n \"mistral/mistral-large-3\",\n \"mistral/mistral-medium\",\n \"mistral/mistral-medium-3.5\",\n \"mistral/mistral-nemo\",\n \"mistral/mistral-small\",\n \"mistral/pixtral-12b\",\n \"moonshotai/kimi-k2\",\n \"moonshotai/kimi-k2-thinking\",\n \"moonshotai/kimi-k2.5\",\n \"moonshotai/kimi-k2.6\",\n \"moonshotai/kimi-k2.7-code\",\n \"moonshotai/kimi-k2.7-code-highspeed\",\n \"moonshotai/kimi-k3\",\n \"moonshotai/kimi-k3-fast\",\n \"morph/morph-v3-fast\",\n \"morph/morph-v3-large\",\n \"nvidia/nemotron-3-nano-30b-a3b\",\n \"nvidia/nemotron-3-super-120b-a12b\",\n \"nvidia/nemotron-3-ultra-550b-a55b\",\n \"nvidia/nemotron-3.5-lightning\",\n \"nvidia/nemotron-nano-12b-v2-vl\",\n \"nvidia/nemotron-nano-9b-v2\",\n \"openai/gpt-3.5-turbo\",\n \"openai/gpt-4-turbo\",\n \"openai/gpt-4.1\",\n \"openai/gpt-4.1-fast\",\n \"openai/gpt-4.1-mini\",\n \"openai/gpt-4.1-mini-fast\",\n \"openai/gpt-4.1-nano\",\n \"openai/gpt-4.1-nano-fast\",\n \"openai/gpt-4o\",\n \"openai/gpt-4o-fast\",\n \"openai/gpt-4o-mini\",\n \"openai/gpt-4o-mini-fast\",\n \"openai/gpt-4o-mini-transcribe\",\n \"openai/gpt-4o-transcribe\",\n \"openai/gpt-5\",\n \"openai/gpt-5-codex\",\n \"openai/gpt-5-fast\",\n \"openai/gpt-5-mini\",\n \"openai/gpt-5-mini-fast\",\n \"openai/gpt-5-nano\",\n \"openai/gpt-5-pro\",\n \"openai/gpt-5.1-codex\",\n \"openai/gpt-5.1-codex-max\",\n \"openai/gpt-5.1-codex-mini\",\n \"openai/gpt-5.1-thinking\",\n \"openai/gpt-5.1-thinking-fast\",\n \"openai/gpt-5.2\",\n \"openai/gpt-5.2-codex\",\n \"openai/gpt-5.2-fast\",\n \"openai/gpt-5.2-pro\",\n \"openai/gpt-5.3-codex\",\n \"openai/gpt-5.3-codex-fast\",\n \"openai/gpt-5.4\",\n \"openai/gpt-5.4-fast\",\n \"openai/gpt-5.4-mini\",\n \"openai/gpt-5.4-mini-fast\",\n \"openai/gpt-5.4-nano\",\n \"openai/gpt-5.4-pro\",\n \"openai/gpt-5.5\",\n \"openai/gpt-5.5-fast\",\n \"openai/gpt-5.5-pro\",\n \"openai/gpt-5.6-luna\",\n \"openai/gpt-5.6-luna-fast\",\n \"openai/gpt-5.6-sol\",\n \"openai/gpt-5.6-sol-fast\",\n \"openai/gpt-5.6-terra\",\n \"openai/gpt-5.6-terra-fast\",\n \"openai/gpt-image-1\",\n \"openai/gpt-image-1-mini\",\n \"openai/gpt-image-1.5\",\n \"openai/gpt-image-2\",\n \"openai/gpt-oss-120b\",\n \"openai/gpt-oss-20b\",\n \"openai/gpt-oss-safeguard-120b\",\n \"openai/gpt-oss-safeguard-20b\",\n \"openai/gpt-realtime-1.5\",\n \"openai/gpt-realtime-2\",\n \"openai/gpt-realtime-2.1\",\n \"openai/gpt-realtime-mini\",\n \"openai/gpt-realtime-whisper\",\n \"openai/o1\",\n \"openai/o3\",\n \"openai/o3-fast\",\n \"openai/o3-mini\",\n \"openai/o3-pro\",\n \"openai/o4-mini\",\n \"openai/o4-mini-fast\",\n \"openai/text-embedding-3-large\",\n \"openai/text-embedding-3-small\",\n \"openai/text-embedding-ada-002\",\n \"openai/tts-1\",\n \"openai/tts-1-hd\",\n \"openai/whisper-1\",\n \"perplexity/pplx-embed-v1-0.6b\",\n \"perplexity/pplx-embed-v1-4b\",\n \"perplexity/sonar\",\n \"perplexity/sonar-pro\",\n \"perplexity/sonar-reasoning-pro\",\n \"poolside/laguna-s-2.1\",\n \"poolside/laguna-s-2.1-free\",\n \"prodia/flux-fast-schnell\",\n \"quiverai/arrow-1.1\",\n \"recraft/recraft-v2\",\n \"recraft/recraft-v3\",\n \"recraft/recraft-v4\",\n \"recraft/recraft-v4-pro\",\n \"recraft/recraft-v4.1\",\n \"recraft/recraft-v4.1-pro\",\n \"recraft/recraft-v4.1-utility\",\n \"recraft/recraft-v4.1-utility-pro\",\n \"sakana/fugu-ultra\",\n \"sakana/namazu\",\n \"spacexai/grok-4.1-fast-non-reasoning\",\n \"spacexai/grok-4.1-fast-reasoning\",\n \"spacexai/grok-4.20-multi-agent\",\n \"spacexai/grok-4.20-multi-agent-beta\",\n \"spacexai/grok-4.20-non-reasoning\",\n \"spacexai/grok-4.20-non-reasoning-beta\",\n \"spacexai/grok-4.20-reasoning\",\n \"spacexai/grok-4.20-reasoning-beta\",\n \"spacexai/grok-4.3\",\n \"spacexai/grok-4.5\",\n \"spacexai/grok-4.6\",\n \"spacexai/grok-build-0.1\",\n \"spacexai/grok-imagine-image\",\n \"spacexai/grok-imagine-image-2.0\",\n \"spacexai/grok-imagine-video\",\n \"spacexai/grok-imagine-video-1.5\",\n \"spacexai/grok-imagine-video-1.5-preview\",\n \"spacexai/grok-stt\",\n \"spacexai/grok-tts\",\n \"spacexai/grok-voice-think-fast-1.0\",\n \"spacexai/grok-voice-think-fast-2.0\",\n \"stepfun/step-3.5-flash\",\n \"stepfun/step-3.7-flash\",\n \"tencent/hy-mt2-lite\",\n \"tencent/hy-mt2-plus\",\n \"tencent/hy-mt2-pro\",\n \"tencent/hy3\",\n \"tencent/hy4-preview\",\n \"thinkingmachines/inkling\",\n \"thinkingmachines/inkling-small\",\n \"voyage/rerank-2.5\",\n \"voyage/rerank-2.5-lite\",\n \"voyage/voyage-3-large\",\n \"voyage/voyage-3.5\",\n \"voyage/voyage-3.5-lite\",\n \"voyage/voyage-4\",\n \"voyage/voyage-4-large\",\n \"voyage/voyage-4-lite\",\n \"voyage/voyage-code-2\",\n \"voyage/voyage-code-3\",\n \"voyage/voyage-finance-2\",\n \"voyage/voyage-law-2\",\n \"xiaomi/mimo-v2.5\",\n \"xiaomi/mimo-v2.5-pro\",\n \"xiaomi/mimo-v2.5-pro-ultraspeed\",\n \"zai/glm-4.5\",\n \"zai/glm-4.5-air\",\n \"zai/glm-4.5v\",\n \"zai/glm-4.6\",\n \"zai/glm-4.7\",\n \"zai/glm-4.7-flash\",\n \"zai/glm-4.7-flashx\",\n \"zai/glm-5\",\n \"zai/glm-5-turbo\",\n \"zai/glm-5.1\",\n \"zai/glm-5.2\",\n \"zai/glm-5.2-fast\",\n \"zai/glm-5.3\",\n \"zai/glm-5.3-flash\",\n \"zai/glm-5v-turbo\"\n] as const;\n\n/** A model ID known when this package was generated. */\nexport type KnownVercelModelId = (typeof knownVercelModelIds)[number];\n\n/** Model IDs in the reviewed openrouter snapshot. */\nexport const knownOpenRouterModelIds = [\n \"aion-labs/aion-2.0\",\n \"aion-labs/aion-3.0\",\n \"aion-labs/aion-3.0-mini\",\n \"aion-labs/aion-rp-llama-3.1-8b\",\n \"alibaba/happyhorse-1.0\",\n \"alibaba/happyhorse-1.1\",\n \"alibaba/wan-2.6\",\n \"alibaba/wan-2.7\",\n \"alibaba/wan-3.0\",\n \"alibaba/wan-3.0-prime\",\n \"amazon/nova-2-lite-v1\",\n \"amazon/nova-lite-v1\",\n \"amazon/nova-micro-v1\",\n \"amazon/nova-premier-v1\",\n \"amazon/nova-pro-v1\",\n \"anthracite-org/magnum-v4-72b\",\n \"anthropic/claude-3-haiku\",\n \"anthropic/claude-fable-5\",\n \"anthropic/claude-fable-5:batch\",\n \"anthropic/claude-haiku-4.5\",\n \"anthropic/claude-haiku-4.5:batch\",\n \"anthropic/claude-opus-4\",\n \"anthropic/claude-opus-4.1\",\n \"anthropic/claude-opus-4.1:batch\",\n \"anthropic/claude-opus-4.5\",\n \"anthropic/claude-opus-4.5:batch\",\n \"anthropic/claude-opus-4.6\",\n \"anthropic/claude-opus-4.6:batch\",\n \"anthropic/claude-opus-4.7\",\n \"anthropic/claude-opus-4.7-fast\",\n \"anthropic/claude-opus-4.7:batch\",\n \"anthropic/claude-opus-4.8\",\n \"anthropic/claude-opus-4.8-fast\",\n \"anthropic/claude-opus-4.8:batch\",\n \"anthropic/claude-opus-5\",\n \"anthropic/claude-opus-5-fast\",\n \"anthropic/claude-opus-5:batch\",\n \"anthropic/claude-sonnet-4\",\n \"anthropic/claude-sonnet-4.5\",\n \"anthropic/claude-sonnet-4.5:batch\",\n \"anthropic/claude-sonnet-4.6\",\n \"anthropic/claude-sonnet-4.6:batch\",\n \"anthropic/claude-sonnet-5\",\n \"anthropic/claude-sonnet-5:batch\",\n \"arcee-ai/trinity-large-thinking\",\n \"baai/bge-base-en-v1.5\",\n \"baai/bge-large-en-v1.5\",\n \"baai/bge-m3\",\n \"baidu/ernie-4.5-vl-424b-a47b\",\n \"black-forest-labs/flux-3-video\",\n \"black-forest-labs/flux-video-upscale\",\n \"black-forest-labs/flux.2-flex\",\n \"black-forest-labs/flux.2-klein-4b\",\n \"black-forest-labs/flux.2-max\",\n \"black-forest-labs/flux.2-pro\",\n \"bytedance-seed/seed-1.6\",\n \"bytedance-seed/seed-1.6-flash\",\n \"bytedance-seed/seed-2-1-turbo\",\n \"bytedance-seed/seed-2.0-code\",\n \"bytedance-seed/seed-2.0-lite\",\n \"bytedance-seed/seed-2.0-mini\",\n \"bytedance-seed/seedream-4.5\",\n \"bytedance-seed/seedream-5-0-lite\",\n \"bytedance-seed/seedream-5-0-pro\",\n \"bytedance/seedance-1-5-pro\",\n \"bytedance/seedance-2.0\",\n \"bytedance/seedance-2.0-fast\",\n \"bytedance/seedance-2.0-mini\",\n \"bytedance/seedance-2.5\",\n \"bytedance/ui-tars-1.5-7b\",\n \"canopylabs/orpheus-3b-0.1-ft\",\n \"cognitivecomputations/dolphin-mistral-24b-venice-edition\",\n \"cohere/command-a\",\n \"cohere/command-r-08-2024\",\n \"cohere/command-r-plus-08-2024\",\n \"cohere/command-r7b-12-2024\",\n \"cohere/north-mini-code:free\",\n \"cohere/rerank-4-fast\",\n \"cohere/rerank-4-pro\",\n \"cohere/rerank-v3.5\",\n \"deepgram/aura-2\",\n \"deepgram/flux-tts:free\",\n \"deepgram/nova-3\",\n \"deepseek/deepseek-chat\",\n \"deepseek/deepseek-chat-v3-0324\",\n \"deepseek/deepseek-chat-v3.1\",\n \"deepseek/deepseek-r1\",\n \"deepseek/deepseek-r1-0528\",\n \"deepseek/deepseek-r1-distill-llama-70b\",\n \"deepseek/deepseek-v3.1-terminus\",\n \"deepseek/deepseek-v3.2\",\n \"deepseek/deepseek-v3.2-exp\",\n \"deepseek/deepseek-v4-flash\",\n \"deepseek/deepseek-v4-flash-0731\",\n \"deepseek/deepseek-v4-flash-0731:batch\",\n \"deepseek/deepseek-v4-flash-vision-exp\",\n \"deepseek/deepseek-v4-pro\",\n \"deepseek/deepseek-v4-pro-0813\",\n \"deepseek/deepseek-v4-pro-0813:batch\",\n \"dots-studio/dots-3-note-preview:free\",\n \"fish-audio/s1\",\n \"fish-audio/s2-pro\",\n \"fish-audio/s2.1-pro\",\n \"fish-audio/s2.1-pro-free:free\",\n \"fish-audio/transcribe-1\",\n \"google/chirp-3\",\n \"google/gemini-2.5-flash\",\n \"google/gemini-2.5-flash-image\",\n \"google/gemini-2.5-flash-lite\",\n \"google/gemini-2.5-flash-lite:batch\",\n \"google/gemini-2.5-flash:batch\",\n \"google/gemini-2.5-pro\",\n \"google/gemini-2.5-pro-preview\",\n \"google/gemini-2.5-pro-preview-05-06\",\n \"google/gemini-2.5-pro:batch\",\n \"google/gemini-3-flash-preview\",\n \"google/gemini-3-flash-preview:batch\",\n \"google/gemini-3-pro-image\",\n \"google/gemini-3-pro-image-preview\",\n \"google/gemini-3.1-flash-image\",\n \"google/gemini-3.1-flash-image-preview\",\n \"google/gemini-3.1-flash-lite\",\n \"google/gemini-3.1-flash-lite-image\",\n \"google/gemini-3.1-flash-lite-preview\",\n \"google/gemini-3.1-flash-lite:batch\",\n \"google/gemini-3.1-flash-tts-preview\",\n \"google/gemini-3.1-pro-preview\",\n \"google/gemini-3.1-pro-preview-customtools\",\n \"google/gemini-3.1-pro-preview:batch\",\n \"google/gemini-3.5-flash\",\n \"google/gemini-3.5-flash-lite\",\n \"google/gemini-3.5-flash-lite:batch\",\n \"google/gemini-3.5-flash:batch\",\n \"google/gemini-3.6-flash\",\n \"google/gemini-3.6-flash:batch\",\n \"google/gemini-3.7-flash\",\n \"google/gemini-3.7-flash:batch\",\n \"google/gemini-embedding-001\",\n \"google/gemini-embedding-2\",\n \"google/gemini-embedding-2-preview\",\n \"google/gemini-embedding-2:batch\",\n \"google/gemma-2-27b-it\",\n \"google/gemma-3-12b-it\",\n \"google/gemma-3-27b-it\",\n \"google/gemma-3-4b-it\",\n \"google/gemma-4-26b-a4b-it\",\n \"google/gemma-4-26b-a4b-it:free\",\n \"google/gemma-4-31b-it\",\n \"google/gemma-4-31b-it:batch\",\n \"google/gemma-4-31b-it:free\",\n \"google/lyria-3-clip-preview\",\n \"google/lyria-3-pro-preview\",\n \"google/veo-3.1\",\n \"google/veo-3.1-fast\",\n \"google/veo-3.1-lite\",\n \"gryphe/mythomax-l2-13b\",\n \"hexgrad/kokoro-82m\",\n \"heygen/avatar-iv\",\n \"ibm-granite/granite-4.0-h-micro\",\n \"ibm-granite/granite-4.1-8b\",\n \"ibm-granite/granite-4.2-8b\",\n \"inception/mercury-2\",\n \"inclusionai/ling-3.0-flash\",\n \"inclusionai/ling-3.0-flash-fin:free\",\n \"intfloat/e5-base-v2\",\n \"intfloat/e5-large-v2\",\n \"intfloat/multilingual-e5-large\",\n \"krea/krea-2-large\",\n \"krea/krea-2-medium\",\n \"krea/krea-2-medium-turbo\",\n \"kwaipilot/kat-coder-pro-v2\",\n \"kwaipilot/kat-coder-pro-v2.5\",\n \"kwaivgi/kling-v3.0-pro\",\n \"kwaivgi/kling-v3.0-std\",\n \"kwaivgi/kling-video-o1\",\n \"liquid/lfm-2.5-2.6b:free\",\n \"liquid/lfm-2.5-embedding-350m:free\",\n \"mancer/weaver\",\n \"meituan/longcat-2.0\",\n \"meta-llama/llama-3.1-70b-instruct\",\n \"meta-llama/llama-3.1-8b-instruct\",\n \"meta-llama/llama-3.2-1b-instruct\",\n \"meta-llama/llama-3.2-3b-instruct\",\n \"meta-llama/llama-3.3-70b-instruct\",\n \"meta-llama/llama-4-maverick\",\n \"meta-llama/llama-4-scout\",\n \"meta-llama/llama-guard-4-12b\",\n \"meta/muse-glimmer-30b\",\n \"meta/muse-glimmer-30b:batch\",\n \"meta/muse-image\",\n \"meta/muse-spark-1.1\",\n \"meta/muse-spark-1.2\",\n \"meta/muse-spark-1.2-contributor\",\n \"microsoft/mai-image-2.5\",\n \"microsoft/mai-image-2.5-pro\",\n \"microsoft/mai-transcribe-1.5\",\n \"microsoft/mai-voice-2\",\n \"microsoft/mai-voice-2-flash\",\n \"microsoft/phi-4\",\n \"microsoft/wizardlm-2-8x22b\",\n \"minimax/hailuo-2.3\",\n \"minimax/hailuo-3\",\n \"minimax/minimax-01\",\n \"minimax/minimax-m1\",\n \"minimax/minimax-m2\",\n \"minimax/minimax-m2-her\",\n \"minimax/minimax-m2.1\",\n \"minimax/minimax-m2.5\",\n \"minimax/minimax-m2.7\",\n \"minimax/minimax-m2.7:free\",\n \"minimax/minimax-m3\",\n \"minimax/minimax-m3:batch\",\n \"minimax/minimax-m3:free\",\n \"minimax/speech-2.8-hd\",\n \"minimax/speech-2.8-turbo\",\n \"mistralai/codestral-2508\",\n \"mistralai/codestral-embed-2505\",\n \"mistralai/devstral-2512\",\n \"mistralai/ministral-14b-2512\",\n \"mistralai/ministral-3b-2512\",\n \"mistralai/ministral-8b-2512\",\n \"mistralai/mistral-embed-2312\",\n \"mistralai/mistral-large\",\n \"mistralai/mistral-large-2407\",\n \"mistralai/mistral-large-2512\",\n \"mistralai/mistral-medium-3\",\n \"mistralai/mistral-medium-3-5\",\n \"mistralai/mistral-medium-3-5:batch\",\n \"mistralai/mistral-medium-3.1\",\n \"mistralai/mistral-nemo\",\n \"mistralai/mistral-saba\",\n \"mistralai/mistral-small-24b-instruct-2501\",\n \"mistralai/mistral-small-2603\",\n \"mistralai/mistral-small-3.1-24b-instruct\",\n \"mistralai/mistral-small-3.2-24b-instruct\",\n \"mistralai/mixtral-8x22b-instruct\",\n \"mistralai/voxtral-mini-3b-2507\",\n \"mistralai/voxtral-mini-transcribe\",\n \"mistralai/voxtral-mini-tts-2603\",\n \"mistralai/voxtral-small-24b-2507\",\n \"mistralai/voxtral-small-24b-2507-stt\",\n \"moonshotai/kimi-k2\",\n \"moonshotai/kimi-k2-0905\",\n \"moonshotai/kimi-k2-thinking\",\n \"moonshotai/kimi-k2.5\",\n \"moonshotai/kimi-k2.6\",\n \"moonshotai/kimi-k2.7-code\",\n \"moonshotai/kimi-k3\",\n \"moonshotai/kimi-k3:batch\",\n \"morph/morph-v3-fast\",\n \"morph/morph-v3-large\",\n \"nex-agi/nex-n2-mini\",\n \"nex-agi/nex-n2-pro\",\n \"nousresearch/hermes-3-llama-3.1-405b\",\n \"nousresearch/hermes-3-llama-3.1-70b\",\n \"nousresearch/hermes-4-405b\",\n \"nousresearch/hermes-4-70b\",\n \"nvidia/llama-nemotron-embed-vl-1b-v2:free\",\n \"nvidia/llama-nemotron-rerank-vl-1b-v2:free\",\n \"nvidia/nemotron-3-embed-1b:free\",\n \"nvidia/nemotron-3-nano-30b-a3b\",\n \"nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free\",\n \"nvidia/nemotron-3-super-120b-a12b\",\n \"nvidia/nemotron-3-super-120b-a12b:free\",\n \"nvidia/nemotron-3-ultra-550b-a55b\",\n \"nvidia/nemotron-3-ultra-550b-a55b:batch\",\n \"nvidia/nemotron-3-ultra-550b-a55b:free\",\n \"nvidia/nemotron-3.5-asr-streaming-multilingual-0.6b\",\n \"nvidia/nemotron-3.5-content-safety:free\",\n \"nvidia/nemotron-3.5-lightning\",\n \"nvidia/nemotron-3.5-lightning:free\",\n \"nvidia/parakeet-tdt-0.6b-v3\",\n \"openai/gpt-3.5-turbo\",\n \"openai/gpt-3.5-turbo-0613\",\n \"openai/gpt-3.5-turbo-16k\",\n \"openai/gpt-3.5-turbo-instruct\",\n \"openai/gpt-3.5-turbo:batch\",\n \"openai/gpt-4\",\n \"openai/gpt-4-turbo\",\n \"openai/gpt-4-turbo-preview\",\n \"openai/gpt-4-turbo:batch\",\n \"openai/gpt-4.1\",\n \"openai/gpt-4.1-mini\",\n \"openai/gpt-4.1-mini:batch\",\n \"openai/gpt-4.1-nano\",\n \"openai/gpt-4.1-nano:batch\",\n \"openai/gpt-4.1:batch\",\n \"openai/gpt-4o\",\n \"openai/gpt-4o-2024-05-13\",\n \"openai/gpt-4o-2024-08-06\",\n \"openai/gpt-4o-2024-11-20\",\n \"openai/gpt-4o-mini\",\n \"openai/gpt-4o-mini-2024-07-18\",\n \"openai/gpt-4o-mini-transcribe\",\n \"openai/gpt-4o-mini:batch\",\n \"openai/gpt-4o-transcribe\",\n \"openai/gpt-4o:batch\",\n \"openai/gpt-5\",\n \"openai/gpt-5-image\",\n \"openai/gpt-5-image-mini\",\n \"openai/gpt-5-mini\",\n \"openai/gpt-5-mini:batch\",\n \"openai/gpt-5-nano\",\n \"openai/gpt-5-nano:batch\",\n \"openai/gpt-5-pro\",\n \"openai/gpt-5-pro:batch\",\n \"openai/gpt-5.1\",\n \"openai/gpt-5.1-codex\",\n \"openai/gpt-5.1-codex-max\",\n \"openai/gpt-5.1-codex-mini\",\n \"openai/gpt-5.1:batch\",\n \"openai/gpt-5.2\",\n \"openai/gpt-5.2-chat\",\n \"openai/gpt-5.2-codex\",\n \"openai/gpt-5.2-pro\",\n \"openai/gpt-5.2-pro:batch\",\n \"openai/gpt-5.2:batch\",\n \"openai/gpt-5.3-codex\",\n \"openai/gpt-5.4\",\n \"openai/gpt-5.4-image-2\",\n \"openai/gpt-5.4-mini\",\n \"openai/gpt-5.4-mini:batch\",\n \"openai/gpt-5.4-nano\",\n \"openai/gpt-5.4-nano:batch\",\n \"openai/gpt-5.4-pro\",\n \"openai/gpt-5.4-pro:batch\",\n \"openai/gpt-5.4:batch\",\n \"openai/gpt-5.5\",\n \"openai/gpt-5.5-pro\",\n \"openai/gpt-5.5-pro:batch\",\n \"openai/gpt-5.5:batch\",\n \"openai/gpt-5.6-luna\",\n \"openai/gpt-5.6-luna-pro\",\n \"openai/gpt-5.6-luna-pro:batch\",\n \"openai/gpt-5.6-luna:batch\",\n \"openai/gpt-5.6-sol\",\n \"openai/gpt-5.6-sol-pro\",\n \"openai/gpt-5.6-sol-pro:batch\",\n \"openai/gpt-5.6-sol:batch\",\n \"openai/gpt-5.6-terra\",\n \"openai/gpt-5.6-terra-pro\",\n \"openai/gpt-5.6-terra-pro:batch\",\n \"openai/gpt-5.6-terra:batch\",\n \"openai/gpt-5:batch\",\n \"openai/gpt-audio\",\n \"openai/gpt-audio-mini\",\n \"openai/gpt-chat-latest\",\n \"openai/gpt-image-1\",\n \"openai/gpt-image-1-mini\",\n \"openai/gpt-image-2\",\n \"openai/gpt-oss-120b\",\n \"openai/gpt-oss-120b:batch\",\n \"openai/gpt-oss-20b\",\n \"openai/gpt-oss-20b:batch\",\n \"openai/gpt-oss-safeguard-20b\",\n \"openai/gpt-transcribe\",\n \"openai/o1\",\n \"openai/o1-pro\",\n \"openai/o3\",\n \"openai/o3-mini\",\n \"openai/o3-mini-high\",\n \"openai/o3-mini:batch\",\n \"openai/o3-pro\",\n \"openai/o3:batch\",\n \"openai/o4-mini\",\n \"openai/o4-mini-high\",\n \"openai/o4-mini:batch\",\n \"openai/sora-2-pro\",\n \"openai/text-embedding-3-large\",\n \"openai/text-embedding-3-large:batch\",\n \"openai/text-embedding-3-small\",\n \"openai/text-embedding-3-small:batch\",\n \"openai/text-embedding-ada-002\",\n \"openai/text-embedding-ada-002:batch\",\n \"openai/whisper-1\",\n \"openai/whisper-large-v3\",\n \"openai/whisper-large-v3-turbo\",\n \"openrouter/auto\",\n \"openrouter/auto-beta\",\n \"openrouter/bodybuilder\",\n \"openrouter/free\",\n \"openrouter/fusion\",\n \"openrouter/pareto-code\",\n \"perceptron/perceptron-mk1\",\n \"perplexity/pplx-embed-v1-0.6b\",\n \"perplexity/pplx-embed-v1-4b\",\n \"perplexity/sonar\",\n \"perplexity/sonar-deep-research\",\n \"perplexity/sonar-pro\",\n \"perplexity/sonar-pro-search\",\n \"perplexity/sonar-reasoning-pro\",\n \"poolside/laguna-s-2.1\",\n \"poolside/laguna-s-2.1:free\",\n \"poolside/laguna-xs-2.1\",\n \"poolside/laguna-xs-2.1:free\",\n \"qwen/qwen-2.5-72b-instruct\",\n \"qwen/qwen-2.5-7b-instruct\",\n \"qwen/qwen-2.5-coder-32b-instruct\",\n \"qwen/qwen-audio-3.0-tts-flash\",\n \"qwen/qwen-audio-3.0-tts-plus\",\n \"qwen/qwen-image-3\",\n \"qwen/qwen-image-3-pro\",\n \"qwen/qwen-plus\",\n \"qwen/qwen-plus-2025-07-28\",\n \"qwen/qwen2.5-vl-72b-instruct\",\n \"qwen/qwen3-14b\",\n \"qwen/qwen3-235b-a22b\",\n \"qwen/qwen3-235b-a22b-2507\",\n \"qwen/qwen3-235b-a22b-thinking-2507\",\n \"qwen/qwen3-30b-a3b\",\n \"qwen/qwen3-30b-a3b-instruct-2507\",\n \"qwen/qwen3-30b-a3b-thinking-2507\",\n \"qwen/qwen3-32b\",\n \"qwen/qwen3-8b\",\n \"qwen/qwen3-asr-0.6b\",\n \"qwen/qwen3-asr-1.7b\",\n \"qwen/qwen3-asr-flash-2026-02-10\",\n \"qwen/qwen3-coder\",\n \"qwen/qwen3-coder-30b-a3b-instruct\",\n \"qwen/qwen3-coder-flash\",\n \"qwen/qwen3-coder-next\",\n \"qwen/qwen3-coder-plus\",\n \"qwen/qwen3-embedding-4b\",\n \"qwen/qwen3-embedding-8b\",\n \"qwen/qwen3-max\",\n \"qwen/qwen3-max-thinking\",\n \"qwen/qwen3-next-80b-a3b-instruct\",\n \"qwen/qwen3-next-80b-a3b-thinking\",\n \"qwen/qwen3-reranker-8b\",\n \"qwen/qwen3-vl-235b-a22b-instruct\",\n \"qwen/qwen3-vl-235b-a22b-thinking\",\n \"qwen/qwen3-vl-30b-a3b-instruct\",\n \"qwen/qwen3-vl-30b-a3b-thinking\",\n \"qwen/qwen3-vl-32b-instruct\",\n \"qwen/qwen3-vl-8b-instruct\",\n \"qwen/qwen3-vl-8b-thinking\",\n \"qwen/qwen3.5-122b-a10b\",\n \"qwen/qwen3.5-27b\",\n \"qwen/qwen3.5-35b-a3b\",\n \"qwen/qwen3.5-397b-a17b\",\n \"qwen/qwen3.5-9b\",\n \"qwen/qwen3.5-9b:batch\",\n \"qwen/qwen3.5-flash-02-23\",\n \"qwen/qwen3.5-plus-02-15\",\n \"qwen/qwen3.5-plus-20260420\",\n \"qwen/qwen3.6-27b\",\n \"qwen/qwen3.6-35b-a3b\",\n \"qwen/qwen3.6-flash\",\n \"qwen/qwen3.6-max-preview\",\n \"qwen/qwen3.6-plus\",\n \"qwen/qwen3.7-flash\",\n \"qwen/qwen3.7-max\",\n \"qwen/qwen3.7-plus\",\n \"qwen/qwen3.8-2.4t-a95b\",\n \"qwen/qwen3.8-2.4t-a95b:batch\",\n \"qwen/qwen3.8-27b\",\n \"qwen/qwen3.8-flash\",\n \"qwen/qwen3.8-max\",\n \"recraft/recraft-v3\",\n \"recraft/recraft-v4\",\n \"recraft/recraft-v4-pro\",\n \"recraft/recraft-v4-pro-vector\",\n \"recraft/recraft-v4-styles\",\n \"recraft/recraft-v4-styles-pro\",\n \"recraft/recraft-v4-styles-pro-vector\",\n \"recraft/recraft-v4-styles-vector\",\n \"recraft/recraft-v4-vector\",\n \"recraft/recraft-v4.1\",\n \"recraft/recraft-v4.1-pro\",\n \"recraft/recraft-v4.1-pro-vector\",\n \"recraft/recraft-v4.1-utility\",\n \"recraft/recraft-v4.1-utility-pro\",\n \"recraft/recraft-v4.1-vector\",\n \"rekaai/reka-edge\",\n \"rekaai/reka-flash-3\",\n \"relace/relace-apply-3\",\n \"relace/relace-search\",\n \"runway/aleph-2\",\n \"runway/gen-4.5\",\n \"sakana/fugu-ultra\",\n \"sakana/sakana-namazu\",\n \"sao10k/l3-lunaris-8b\",\n \"sao10k/l3.1-euryale-70b\",\n \"sao10k/l3.3-euryale-70b\",\n \"sentence-transformers/all-minilm-l12-v2\",\n \"sentence-transformers/all-minilm-l6-v2\",\n \"sentence-transformers/all-mpnet-base-v2\",\n \"sentence-transformers/multi-qa-mpnet-base-dot-v1\",\n \"sentence-transformers/paraphrase-minilm-l6-v2\",\n \"sesame/csm-1b\",\n \"sourceful/riverflow-v2-fast\",\n \"sourceful/riverflow-v2-pro\",\n \"sourceful/riverflow-v2.5-fast\",\n \"sourceful/riverflow-v2.5-pro\",\n \"stepfun/step-3.5-flash\",\n \"stepfun/step-3.7-flash\",\n \"tencent/hunyuan-a13b-instruct\",\n \"tencent/hy-mt2-1.8b\",\n \"tencent/hy-mt2-30b-a3b\",\n \"tencent/hy-mt2-7b\",\n \"tencent/hy3\",\n \"tencent/hy3-preview\",\n \"tencent/hy4-preview\",\n \"thedrummer/cydonia-24b-v4.1\",\n \"thedrummer/skyfall-36b-v2\",\n \"thedrummer/unslopnemo-12b\",\n \"thenlper/gte-base\",\n \"thenlper/gte-large\",\n \"thinkingmachines/inkling\",\n \"thinkingmachines/inkling-small\",\n \"thinkingmachines/inkling-small:batch\",\n \"thinkingmachines/inkling-small:free\",\n \"thinkingmachines/inkling:batch\",\n \"thinkingmachines/inkling:free\",\n \"undi95/remm-slerp-l2-13b\",\n \"upstage/solar-pro-3\",\n \"upstage/solar-pro4\",\n \"voyageai/rerank-2.5\",\n \"voyageai/rerank-2.5-lite\",\n \"voyageai/voyage-4\",\n \"voyageai/voyage-4-large\",\n \"voyageai/voyage-4-lite\",\n \"voyageai/voyage-code-4\",\n \"voyageai/voyage-multimodal-3.5\",\n \"writer/palmyra-x5\",\n \"x-ai/grok-4.20\",\n \"x-ai/grok-4.20-multi-agent\",\n \"x-ai/grok-4.3\",\n \"x-ai/grok-4.5\",\n \"x-ai/grok-4.6\",\n \"x-ai/grok-build-0.1\",\n \"x-ai/grok-imagine-image-2.0\",\n \"x-ai/grok-imagine-image-quality\",\n \"x-ai/grok-imagine-video\",\n \"x-ai/grok-imagine-video-1.5\",\n \"x-ai/grok-stt-1.0\",\n \"x-ai/grok-voice-tts-1.0\",\n \"xiaomi/mimo-v2.5\",\n \"xiaomi/mimo-v2.5-pro\",\n \"z-ai/glm-4.5\",\n \"z-ai/glm-4.5-air\",\n \"z-ai/glm-4.5v\",\n \"z-ai/glm-4.6\",\n \"z-ai/glm-4.6v\",\n \"z-ai/glm-4.7\",\n \"z-ai/glm-4.7-flash\",\n \"z-ai/glm-5\",\n \"z-ai/glm-5-turbo\",\n \"z-ai/glm-5.1\",\n \"z-ai/glm-5.2\",\n \"z-ai/glm-5.2:free\",\n \"z-ai/glm-5.3\",\n \"z-ai/glm-5.3-flash\",\n \"z-ai/glm-5.3-flash:batch\",\n \"z-ai/glm-5v-turbo\",\n \"~anthropic/claude-fable-latest\",\n \"~anthropic/claude-haiku-latest\",\n \"~anthropic/claude-opus-latest\",\n \"~anthropic/claude-sonnet-latest\",\n \"~deepseek/deepseek-v4-flash-latest\",\n \"~google/gemini-flash-latest\",\n \"~google/gemini-pro-latest\",\n \"~moonshotai/kimi-latest\",\n \"~openai/gpt-latest\",\n \"~openai/gpt-mini-latest\",\n \"~x-ai/grok-latest\",\n \"~z-ai/glm-latest\"\n] as const;\n\n/** A model ID known when this package was generated. */\nexport type KnownOpenRouterModelId = (typeof knownOpenRouterModelIds)[number];\n\n/** A gateway model ID known when this package was generated. */\nexport type KnownGatewayModelId = KnownVercelModelId | KnownOpenRouterModelId;\n\n/** Exact selectable option values in the reviewed gateway snapshots. */\nexport interface KnownGatewayOptionValuesByKey {\n readonly \"openrouter:~anthropic/claude-fable-latest\": Readonly<{ readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~anthropic/claude-haiku-latest\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~anthropic/claude-opus-latest\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~anthropic/claude-sonnet-latest\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~deepseek/deepseek-v4-flash-latest\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~google/gemini-flash-latest\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~google/gemini-pro-latest\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~moonshotai/kimi-latest\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~openai/gpt-latest\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~openai/gpt-mini-latest\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~x-ai/grok-latest\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:~z-ai/glm-latest\": Readonly<{ readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:aion-labs/aion-2.0\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:aion-labs/aion-3.0\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:aion-labs/aion-3.0-mini\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:aion-labs/aion-rp-llama-3.1-8b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:alibaba/happyhorse-1.0\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:alibaba/happyhorse-1.1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:alibaba/wan-2.6\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:alibaba/wan-2.7\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:alibaba/wan-3.0\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:alibaba/wan-3.0-prime\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:amazon/nova-2-lite-v1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:amazon/nova-lite-v1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:amazon/nova-micro-v1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:amazon/nova-premier-v1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:amazon/nova-pro-v1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:anthracite-org/magnum-v4-72b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:anthropic/claude-3-haiku\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:anthropic/claude-fable-5\": Readonly<{ readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-fable-5:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-haiku-4.5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-haiku-4.5:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.1:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.5:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.6\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.6:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.7\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.7-fast\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.7:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.8\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.8-fast\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-4.8:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-5-fast\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-opus-5:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-sonnet-4\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-sonnet-4.5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-sonnet-4.5:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-sonnet-4.6\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-sonnet-4.6:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-sonnet-5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:anthropic/claude-sonnet-5:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:arcee-ai/trinity-large-thinking\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:baai/bge-base-en-v1.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:baai/bge-large-en-v1.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:baai/bge-m3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:baidu/ernie-4.5-vl-424b-a47b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:black-forest-labs/flux-3-video\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:black-forest-labs/flux-video-upscale\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:black-forest-labs/flux.2-flex\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:black-forest-labs/flux.2-klein-4b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:black-forest-labs/flux.2-max\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:black-forest-labs/flux.2-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:bytedance-seed/seed-1.6\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:bytedance-seed/seed-1.6-flash\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:bytedance-seed/seed-2-1-turbo\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:bytedance-seed/seed-2.0-code\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:bytedance-seed/seed-2.0-lite\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:bytedance-seed/seed-2.0-mini\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:bytedance-seed/seedream-4.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:bytedance-seed/seedream-5-0-lite\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:bytedance-seed/seedream-5-0-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:bytedance/seedance-1-5-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:bytedance/seedance-2.0\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:bytedance/seedance-2.0-fast\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:bytedance/seedance-2.0-mini\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:bytedance/seedance-2.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:bytedance/ui-tars-1.5-7b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:canopylabs/orpheus-3b-0.1-ft\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:cognitivecomputations/dolphin-mistral-24b-venice-edition\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:cohere/command-a\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:cohere/command-r-08-2024\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:cohere/command-r-plus-08-2024\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:cohere/command-r7b-12-2024\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:cohere/north-mini-code:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:cohere/rerank-4-fast\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:cohere/rerank-4-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:cohere/rerank-v3.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:deepgram/aura-2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:deepgram/flux-tts:free\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:deepgram/nova-3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:deepseek/deepseek-chat\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:deepseek/deepseek-chat-v3-0324\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:deepseek/deepseek-chat-v3.1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-r1\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-r1-0528\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-r1-distill-llama-70b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v3.1-terminus\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v3.2\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v3.2-exp\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v4-flash\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v4-flash-0731\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v4-flash-0731:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v4-flash-vision-exp\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v4-pro\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v4-pro-0813\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:deepseek/deepseek-v4-pro-0813:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:dots-studio/dots-3-note-preview:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:fish-audio/s1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:fish-audio/s2-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:fish-audio/s2.1-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:fish-audio/s2.1-pro-free:free\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:fish-audio/transcribe-1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/chirp-3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemini-2.5-flash\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-2.5-flash-image\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemini-2.5-flash-lite\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-2.5-flash-lite:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-2.5-flash:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-2.5-pro\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-2.5-pro-preview\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-2.5-pro-preview-05-06\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-2.5-pro:batch\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3-flash-preview\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3-flash-preview:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3-pro-image\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3-pro-image-preview\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.1-flash-image\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.1-flash-image-preview\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.1-flash-lite\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.1-flash-lite-image\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.1-flash-lite-preview\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.1-flash-lite:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.1-flash-tts-preview\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemini-3.1-pro-preview\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.1-pro-preview-customtools\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.1-pro-preview:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.5-flash\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.5-flash-lite\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.5-flash-lite:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.5-flash:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.6-flash\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.6-flash:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.7-flash\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-3.7-flash:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemini-embedding-001\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemini-embedding-2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemini-embedding-2-preview\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemini-embedding-2:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemma-2-27b-it\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemma-3-12b-it\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemma-3-27b-it\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemma-3-4b-it\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/gemma-4-26b-a4b-it\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemma-4-26b-a4b-it:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemma-4-31b-it\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemma-4-31b-it:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/gemma-4-31b-it:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:google/lyria-3-clip-preview\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/lyria-3-pro-preview\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/veo-3.1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/veo-3.1-fast\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:google/veo-3.1-lite\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:gryphe/mythomax-l2-13b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:hexgrad/kokoro-82m\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:heygen/avatar-iv\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:ibm-granite/granite-4.0-h-micro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:ibm-granite/granite-4.1-8b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:ibm-granite/granite-4.2-8b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:inception/mercury-2\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:inclusionai/ling-3.0-flash\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:inclusionai/ling-3.0-flash-fin:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:intfloat/e5-base-v2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:intfloat/e5-large-v2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:intfloat/multilingual-e5-large\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:krea/krea-2-large\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:krea/krea-2-medium\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:krea/krea-2-medium-turbo\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:kwaipilot/kat-coder-pro-v2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:kwaipilot/kat-coder-pro-v2.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:kwaivgi/kling-v3.0-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:kwaivgi/kling-v3.0-std\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:kwaivgi/kling-video-o1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:liquid/lfm-2.5-2.6b:free\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:liquid/lfm-2.5-embedding-350m:free\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mancer/weaver\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meituan/longcat-2.0\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:meta-llama/llama-3.1-70b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meta-llama/llama-3.1-8b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meta-llama/llama-3.2-1b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meta-llama/llama-3.2-3b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meta-llama/llama-3.3-70b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meta-llama/llama-4-maverick\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meta-llama/llama-4-scout\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meta-llama/llama-guard-4-12b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meta/muse-glimmer-30b\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:meta/muse-glimmer-30b:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:meta/muse-image\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:meta/muse-spark-1.1\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:meta/muse-spark-1.2\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:meta/muse-spark-1.2-contributor\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:microsoft/mai-image-2.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:microsoft/mai-image-2.5-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:microsoft/mai-transcribe-1.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:microsoft/mai-voice-2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:microsoft/mai-voice-2-flash\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:microsoft/phi-4\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:microsoft/wizardlm-2-8x22b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:minimax/hailuo-2.3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:minimax/hailuo-3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:minimax/minimax-01\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:minimax/minimax-m1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:minimax/minimax-m2\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:minimax/minimax-m2-her\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:minimax/minimax-m2.1\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:minimax/minimax-m2.5\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:minimax/minimax-m2.7\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:minimax/minimax-m2.7:free\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:minimax/minimax-m3\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:minimax/minimax-m3:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:minimax/minimax-m3:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:minimax/speech-2.8-hd\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:minimax/speech-2.8-turbo\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/codestral-2508\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/codestral-embed-2505\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/devstral-2512\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/ministral-14b-2512\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/ministral-3b-2512\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/ministral-8b-2512\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-embed-2312\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-large\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-large-2407\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-large-2512\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-medium-3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-medium-3-5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:mistralai/mistral-medium-3-5:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:mistralai/mistral-medium-3.1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-nemo\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-saba\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-small-24b-instruct-2501\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-small-2603\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:mistralai/mistral-small-3.1-24b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mistral-small-3.2-24b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/mixtral-8x22b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/voxtral-mini-3b-2507\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/voxtral-mini-transcribe\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/voxtral-mini-tts-2603\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/voxtral-small-24b-2507\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:mistralai/voxtral-small-24b-2507-stt\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:moonshotai/kimi-k2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:moonshotai/kimi-k2-0905\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:moonshotai/kimi-k2-thinking\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:moonshotai/kimi-k2.5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:moonshotai/kimi-k2.6\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:moonshotai/kimi-k2.7-code\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:moonshotai/kimi-k3\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:moonshotai/kimi-k3:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:morph/morph-v3-fast\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:morph/morph-v3-large\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:nex-agi/nex-n2-mini\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nex-agi/nex-n2-pro\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nousresearch/hermes-3-llama-3.1-405b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:nousresearch/hermes-3-llama-3.1-70b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:nousresearch/hermes-4-405b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nousresearch/hermes-4-70b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/llama-nemotron-embed-vl-1b-v2:free\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:nvidia/llama-nemotron-rerank-vl-1b-v2:free\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:nvidia/nemotron-3-embed-1b:free\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:nvidia/nemotron-3-nano-30b-a3b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/nemotron-3-super-120b-a12b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"medium\" | \"low\"; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/nemotron-3-super-120b-a12b:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"medium\" | \"low\"; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/nemotron-3-ultra-550b-a55b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\"; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/nemotron-3-ultra-550b-a55b:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\"; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/nemotron-3-ultra-550b-a55b:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\"; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/nemotron-3.5-asr-streaming-multilingual-0.6b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:nvidia/nemotron-3.5-content-safety:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/nemotron-3.5-lightning\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/nemotron-3.5-lightning:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:nvidia/parakeet-tdt-0.6b-v3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-3.5-turbo\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-3.5-turbo-0613\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-3.5-turbo-16k\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-3.5-turbo-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-3.5-turbo:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4-turbo\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4-turbo-preview\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4-turbo:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4.1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4.1-mini\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4.1-mini:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4.1-nano\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4.1-nano:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4.1:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o-2024-05-13\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o-2024-08-06\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o-2024-11-20\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o-mini\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o-mini-2024-07-18\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o-mini-transcribe\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o-mini:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o-transcribe\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-4o:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-5\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5-image\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5-image-mini\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5-mini\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5-mini:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5-nano\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5-nano:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5-pro\": Readonly<{ readonly \"reasoning.effort\"?: \"high\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5-pro:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.1-codex\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.1-codex-max\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.1-codex-mini\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.1:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.2\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.2-chat\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-5.2-codex\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.2-pro\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.2-pro:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.2:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.3-codex\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.4\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.4-image-2\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.4-mini\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.4-mini:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.4-nano\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.4-nano:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.4-pro\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.4-pro:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.4:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.5-pro\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.5-pro:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.5:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-luna\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-luna-pro\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-luna-pro:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-luna:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-sol\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-sol-pro\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-sol-pro:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-sol:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-terra\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-terra-pro\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-terra-pro:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-5.6-terra:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-audio\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-audio-mini\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-chat-latest\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-image-1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-image-1-mini\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-image-2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/gpt-oss-120b\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-oss-120b:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-oss-20b\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-oss-20b:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-oss-safeguard-20b\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/gpt-transcribe\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/o1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o1-pro\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o3\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o3-mini\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o3-mini-high\": Readonly<{ readonly \"reasoning.effort\"?: \"high\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o3-mini:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o3-pro\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o3:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o4-mini\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o4-mini-high\": Readonly<{ readonly \"reasoning.effort\"?: \"high\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/o4-mini:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:openai/sora-2-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/text-embedding-3-large\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/text-embedding-3-large:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/text-embedding-3-small\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/text-embedding-3-small:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/text-embedding-ada-002\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/text-embedding-ada-002:batch\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/whisper-1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/whisper-large-v3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openai/whisper-large-v3-turbo\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openrouter/auto\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openrouter/auto-beta\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openrouter/bodybuilder\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openrouter/free\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openrouter/fusion\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:openrouter/pareto-code\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:perceptron/perceptron-mk1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:perplexity/pplx-embed-v1-0.6b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:perplexity/pplx-embed-v1-4b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:perplexity/sonar\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:perplexity/sonar-deep-research\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:perplexity/sonar-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:perplexity/sonar-pro-search\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:perplexity/sonar-reasoning-pro\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:poolside/laguna-s-2.1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:poolside/laguna-s-2.1:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:poolside/laguna-xs-2.1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:poolside/laguna-xs-2.1:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen-2.5-72b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen-2.5-7b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen-2.5-coder-32b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen-audio-3.0-tts-flash\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen-audio-3.0-tts-plus\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen-image-3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen-image-3-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen-plus\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen-plus-2025-07-28\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen2.5-vl-72b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-14b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-235b-a22b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-235b-a22b-2507\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-235b-a22b-thinking-2507\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-30b-a3b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-30b-a3b-instruct-2507\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-30b-a3b-thinking-2507\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-32b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-8b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-asr-0.6b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-asr-1.7b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-asr-flash-2026-02-10\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-coder\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-coder-30b-a3b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-coder-flash\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-coder-next\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-coder-plus\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-embedding-4b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-embedding-8b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-max\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-max-thinking\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-next-80b-a3b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-next-80b-a3b-thinking\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-reranker-8b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-vl-235b-a22b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-vl-235b-a22b-thinking\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-vl-30b-a3b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-vl-30b-a3b-thinking\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3-vl-32b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-vl-8b-instruct\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:qwen/qwen3-vl-8b-thinking\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.5-122b-a10b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.5-27b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.5-35b-a3b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.5-397b-a17b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.5-9b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.5-9b:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.5-flash-02-23\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.5-plus-02-15\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.5-plus-20260420\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.6-27b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.6-35b-a3b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.6-flash\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.6-max-preview\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.6-plus\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.7-flash\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.7-max\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.7-plus\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.8-2.4t-a95b\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.8-2.4t-a95b:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.8-27b\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.8-flash\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:qwen/qwen3.8-max\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\" | \"minimal\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:recraft/recraft-v3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4-pro-vector\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4-styles\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4-styles-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4-styles-pro-vector\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4-styles-vector\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4-vector\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4.1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4.1-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4.1-pro-vector\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4.1-utility\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4.1-utility-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:recraft/recraft-v4.1-vector\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:rekaai/reka-edge\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:rekaai/reka-flash-3\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:relace/relace-apply-3\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:relace/relace-search\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:runway/aleph-2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:runway/gen-4.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sakana/fugu-ultra\": Readonly<{ readonly \"reasoning.effort\"?: \"max\" | \"xhigh\" | \"high\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:sakana/sakana-namazu\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:sao10k/l3-lunaris-8b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sao10k/l3.1-euryale-70b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sao10k/l3.3-euryale-70b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sentence-transformers/all-minilm-l12-v2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sentence-transformers/all-minilm-l6-v2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sentence-transformers/all-mpnet-base-v2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sentence-transformers/multi-qa-mpnet-base-dot-v1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sentence-transformers/paraphrase-minilm-l6-v2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sesame/csm-1b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sourceful/riverflow-v2-fast\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sourceful/riverflow-v2-pro\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:sourceful/riverflow-v2.5-fast\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:sourceful/riverflow-v2.5-pro\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:stepfun/step-3.5-flash\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:stepfun/step-3.7-flash\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:tencent/hunyuan-a13b-instruct\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:tencent/hy-mt2-1.8b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:tencent/hy-mt2-30b-a3b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:tencent/hy-mt2-7b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:tencent/hy3\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:tencent/hy3-preview\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:tencent/hy4-preview\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:thedrummer/cydonia-24b-v4.1\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:thedrummer/skyfall-36b-v2\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:thedrummer/unslopnemo-12b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:thenlper/gte-base\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:thenlper/gte-large\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:thinkingmachines/inkling\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\" | \"minimal\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:thinkingmachines/inkling-small\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\" | \"minimal\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:thinkingmachines/inkling-small:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\" | \"minimal\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:thinkingmachines/inkling-small:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\" | \"minimal\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:thinkingmachines/inkling:batch\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\" | \"minimal\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:thinkingmachines/inkling:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"medium\" | \"low\" | \"minimal\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:undi95/remm-slerp-l2-13b\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:upstage/solar-pro-3\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:upstage/solar-pro4\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:voyageai/rerank-2.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:voyageai/rerank-2.5-lite\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:voyageai/voyage-4\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:voyageai/voyage-4-large\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:voyageai/voyage-4-lite\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:voyageai/voyage-code-4\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:voyageai/voyage-multimodal-3.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:writer/palmyra-x5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:x-ai/grok-4.20\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:x-ai/grok-4.20-multi-agent\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:x-ai/grok-4.3\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\" | \"none\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:x-ai/grok-4.5\": Readonly<{ readonly \"reasoning.effort\"?: \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:x-ai/grok-4.6\": Readonly<{ readonly \"reasoning.effort\"?: \"xhigh\" | \"high\" | \"medium\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:x-ai/grok-build-0.1\": Readonly<{ readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:x-ai/grok-imagine-image-2.0\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:x-ai/grok-imagine-image-quality\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:x-ai/grok-imagine-video\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:x-ai/grok-imagine-video-1.5\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:x-ai/grok-stt-1.0\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:x-ai/grok-voice-tts-1.0\": Readonly<{ readonly [key: string]: never }>;\n readonly \"openrouter:xiaomi/mimo-v2.5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:xiaomi/mimo-v2.5-pro\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-4.5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-4.5-air\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-4.5v\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-4.6\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-4.6v\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-4.7\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-4.7-flash\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-5\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-5-turbo\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-5.1\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-5.2\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-5.2:free\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"xhigh\" | \"high\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-5.3\": Readonly<{ readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-5.3-flash\": Readonly<{ readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-5.3-flash:batch\": Readonly<{ readonly \"reasoning.effort\"?: \"max\" | \"high\" | \"low\"; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"openrouter:z-ai/glm-5v-turbo\": Readonly<{ readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.exclude\"?: boolean }>;\n readonly \"vercel:alibaba/qwen-3-14b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:alibaba/qwen-3-235b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen-3-30b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:alibaba/qwen-3-32b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen-3.6-max-preview\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3-235b-a22b-thinking\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3-coder\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-coder-30b-a3b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-coder-next\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-coder-plus\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-embedding-0.6b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-embedding-4b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-embedding-8b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-max\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-max-preview\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-max-thinking\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3-next-80b-a3b-instruct\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-next-80b-a3b-thinking\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3-vl-235b-a22b-instruct\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-vl-instruct\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3-vl-thinking\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3.5-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3.5-plus\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3.6-27b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3.6-plus\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3.7-flash\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3.7-max\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3.7-plus\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:alibaba/qwen3.8-2.4t-a95b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3.8-27b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3.8-flash\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3.8-flash-next\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/qwen3.8-max\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v2.5-t2v-preview\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v2.6-i2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v2.6-i2v-flash\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v2.6-r2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v2.6-r2v-flash\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v2.6-t2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v2.7-r2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v2.7-t2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v3.0-video\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:alibaba/wan-v3.0-video-prime\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:amazon/nova-2-lite\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:amazon/nova-lite\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:amazon/nova-micro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:amazon/nova-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:amazon/titan-embed-text-v2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:anthropic/claude-3-haiku\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:anthropic/claude-fable-5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"reasoning.mode\"?: \"adaptive\"; readonly \"caching.ttl\"?: \"5m\" | \"1h\"; readonly \"beta.features\"?: readonly string[] }>;\n readonly \"vercel:anthropic/claude-haiku-4.5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:anthropic/claude-opus-4\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:anthropic/claude-opus-4.5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:anthropic/claude-opus-4.6\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:anthropic/claude-opus-4.7\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\" }>;\n readonly \"vercel:anthropic/claude-opus-4.8\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\" }>;\n readonly \"vercel:anthropic/claude-opus-4.8-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\" }>;\n readonly \"vercel:anthropic/claude-opus-5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\"; readonly \"reasoning.mode\"?: \"adaptive\" | \"disabled\"; readonly \"caching.ttl\"?: \"5m\" | \"1h\"; readonly \"beta.features\"?: readonly string[]; readonly \"speed.mode\"?: \"standard\" | \"fast\" }>;\n readonly \"vercel:anthropic/claude-opus-5-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\"; readonly \"reasoning.mode\"?: \"adaptive\" | \"disabled\"; readonly \"caching.ttl\"?: \"5m\" | \"1h\"; readonly \"beta.features\"?: readonly string[]; readonly \"speed.mode\"?: \"standard\" | \"fast\" }>;\n readonly \"vercel:anthropic/claude-sonnet-4\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:anthropic/claude-sonnet-4.5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:anthropic/claude-sonnet-4.6\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:anthropic/claude-sonnet-5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"reasoning.mode\"?: \"adaptive\" | \"disabled\"; readonly \"caching.ttl\"?: \"5m\" | \"1h\"; readonly \"beta.features\"?: readonly string[] }>;\n readonly \"vercel:arcee-ai/trinity-large-thinking\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-2-flex\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-2-klein-4b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-2-klein-9b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-2-max\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-2-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-3-video\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-kontext-max\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-kontext-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-pro-1.0-fill\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-pro-1.1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bfl/flux-pro-1.1-ultra\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seed-1.6\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:bytedance/seed-1.8\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:bytedance/seedance-2.0\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedance-2.0-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedance-2.0-mini\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedance-2.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedance-v1.0-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedance-v1.0-pro-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedance-v1.5-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedream-4.0\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedream-4.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedream-5.0-lite\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:bytedance/seedream-5.0-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:cohere/command-a\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:cohere/embed-v4.0\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:cohere/rerank-v3.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:cohere/rerank-v4-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:cohere/rerank-v4-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:deepseek/deepseek-r1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:deepseek/deepseek-v3\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:deepseek/deepseek-v3.1\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:deepseek/deepseek-v3.1-terminus\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:deepseek/deepseek-v3.2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:deepseek/deepseek-v3.2-thinking\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:deepseek/deepseek-v4-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"xhigh\" }>;\n readonly \"vercel:deepseek/deepseek-v4-flash-0731\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:deepseek/deepseek-v4-flash-vision-exp\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:deepseek/deepseek-v4-pro\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"xhigh\" }>;\n readonly \"vercel:deepseek/deepseek-v4-pro-0813\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:fish-audio/s1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:fish-audio/s1-free\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:fish-audio/s2-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:fish-audio/s2-pro-free\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:fish-audio/s2.1-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:fish-audio/s2.1-pro-free\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:fish-audio/transcribe-1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:fish-audio/transcribe-1-free\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/gemini-2.5-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.budgetTokens\"?: number; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:google/gemini-2.5-flash-image\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.budgetTokens\"?: number }>;\n readonly \"vercel:google/gemini-2.5-flash-lite\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.budgetTokens\"?: number; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:google/gemini-2.5-pro\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.budgetTokens\"?: number; readonly \"reasoning.maxTokens\"?: number }>;\n readonly \"vercel:google/gemini-3-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.level\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"standard\" | \"flex\" | \"priority\"; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:google/gemini-3-pro-image\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.level\"?: \"low\" | \"high\"; readonly \"service.tier\"?: \"standard\" | \"flex\" | \"priority\" }>;\n readonly \"vercel:google/gemini-3.1-flash-image\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"high\" }>;\n readonly \"vercel:google/gemini-3.1-flash-image-preview\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"high\" }>;\n readonly \"vercel:google/gemini-3.1-flash-lite\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.level\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:google/gemini-3.1-flash-lite-image\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.level\"?: \"minimal\" | \"high\" }>;\n readonly \"vercel:google/gemini-3.1-pro-preview\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.level\"?: \"low\" | \"medium\" | \"high\"; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:google/gemini-3.5-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.level\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"standard\" | \"flex\" | \"priority\"; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:google/gemini-3.5-flash-lite\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.level\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"standard\" | \"flex\" | \"priority\" }>;\n readonly \"vercel:google/gemini-3.5-transcribe\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"service.tier\"?: \"standard\" | \"flex\" | \"priority\" }>;\n readonly \"vercel:google/gemini-3.5-transcribe-live\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"service.tier\"?: \"standard\" | \"flex\" | \"priority\" }>;\n readonly \"vercel:google/gemini-3.6-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.level\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"standard\" | \"flex\" | \"priority\" }>;\n readonly \"vercel:google/gemini-3.7-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.level\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"standard\" | \"flex\" | \"priority\"; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:google/gemini-embedding-001\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/gemini-embedding-2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/gemini-omni-flash-preview\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/gemma-4-26b-a4b-it\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/gemma-4-31b-it\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/text-embedding-005\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/text-multilingual-embedding-002\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/veo-3.0-fast-generate-001\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/veo-3.0-generate-001\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/veo-3.1-fast-generate-001\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/veo-3.1-generate-001\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:google/veo-3.1-lite-generate-001\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:inception/mercury-2\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:inception/mercury-coder-small\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:inclusionai/ling-3.0-flash\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:inclusionai/ling-3.0-flash-fin\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:inclusionai/ling-3.0-flash-fin-free\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:interfaze/interfaze-beta\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:klingai/kling-v2.5-turbo-i2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:klingai/kling-v2.5-turbo-t2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:klingai/kling-v2.6-i2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:klingai/kling-v2.6-motion-control\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:klingai/kling-v2.6-t2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:klingai/kling-v3.0-i2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:klingai/kling-v3.0-motion-control\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:klingai/kling-v3.0-t2v\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:kwaipilot/kat-coder-air-v2.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:kwaipilot/kat-coder-pro-v1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:kwaipilot/kat-coder-pro-v2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:kwaipilot/kat-coder-pro-v2.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:meta/llama-3.1-70b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:meta/llama-3.1-8b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:meta/llama-3.3-70b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:meta/llama-4-maverick\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:meta/llama-4-scout\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:meta/muse-glimmer-30b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:meta/muse-image-1.0\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:meta/muse-spark-1.1\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" }>;\n readonly \"vercel:meta/muse-spark-1.2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:meta/muse-spark-1.2-contributor\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-h3\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-h3-max\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m2.1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m2.1-lightning\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m2.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m2.5-highspeed\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m2.7\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m2.7-free\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m2.7-highspeed\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m3\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:minimax/minimax-m3-free\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/codestral\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/codestral-embed\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/devstral-2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/devstral-small-2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/ministral-14b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/ministral-3b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/ministral-8b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/mistral-embed\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/mistral-large-3\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/mistral-medium\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/mistral-medium-3.5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"high\" }>;\n readonly \"vercel:mistral/mistral-nemo\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/mistral-small\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:mistral/pixtral-12b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:moonshotai/kimi-k2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:moonshotai/kimi-k2-thinking\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:moonshotai/kimi-k2.5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:moonshotai/kimi-k2.6\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:moonshotai/kimi-k2.7-code\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:moonshotai/kimi-k2.7-code-highspeed\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:moonshotai/kimi-k3\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:moonshotai/kimi-k3-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:morph/morph-v3-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:morph/morph-v3-large\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:nvidia/nemotron-3-nano-30b-a3b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:nvidia/nemotron-3-super-120b-a12b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:nvidia/nemotron-3-ultra-550b-a55b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:nvidia/nemotron-3.5-lightning\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:nvidia/nemotron-nano-12b-v2-vl\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:nvidia/nemotron-nano-9b-v2\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:openai/gpt-3.5-turbo\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4-turbo\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4.1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4.1-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4.1-mini\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4.1-mini-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4.1-nano\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4.1-nano-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4o\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4o-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4o-mini\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4o-mini-fast\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4o-mini-transcribe\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-4o-transcribe\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5-codex\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5-mini\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5-mini-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5-nano\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5-pro\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.1-codex\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.1-codex-max\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.1-codex-mini\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.1-thinking\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.1-thinking-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.2\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.2-codex\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.2-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.2-pro\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.3-codex\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.3-codex-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.4\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.4-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.4-mini\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.4-mini-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.4-nano\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.4-pro\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.5-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.5-pro\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"medium\" | \"high\" | \"xhigh\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.6-luna\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.6-luna-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.6-sol\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.6-sol-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.6-terra\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-5.6-terra-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" | \"max\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/gpt-image-1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-image-1-mini\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-image-1.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-image-2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-oss-120b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:openai/gpt-oss-20b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:openai/gpt-oss-safeguard-120b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-oss-safeguard-20b\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:openai/gpt-realtime-1.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-realtime-2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-realtime-2.1\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" }>;\n readonly \"vercel:openai/gpt-realtime-mini\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/gpt-realtime-whisper\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/o1\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/o3\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/o3-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/o3-mini\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/o3-pro\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/o4-mini\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/o4-mini-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\"; readonly \"service.tier\"?: \"auto\" | \"default\" | \"flex\" | \"fast\" | \"priority\" }>;\n readonly \"vercel:openai/text-embedding-3-large\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/text-embedding-3-small\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/text-embedding-ada-002\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/tts-1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/tts-1-hd\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:openai/whisper-1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:perplexity/pplx-embed-v1-0.6b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:perplexity/pplx-embed-v1-4b\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:perplexity/sonar\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:perplexity/sonar-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:perplexity/sonar-reasoning-pro\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"minimal\" | \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:poolside/laguna-s-2.1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:poolside/laguna-s-2.1-free\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:prodia/flux-fast-schnell\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:quiverai/arrow-1.1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:recraft/recraft-v2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:recraft/recraft-v3\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:recraft/recraft-v4\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:recraft/recraft-v4-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:recraft/recraft-v4.1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:recraft/recraft-v4.1-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:recraft/recraft-v4.1-utility\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:recraft/recraft-v4.1-utility-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:sakana/fugu-ultra\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:sakana/namazu\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-4.1-fast-non-reasoning\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-4.1-fast-reasoning\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-4.20-multi-agent\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\" }>;\n readonly \"vercel:spacexai/grok-4.20-multi-agent-beta\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" | \"xhigh\" }>;\n readonly \"vercel:spacexai/grok-4.20-non-reasoning\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-4.20-non-reasoning-beta\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-4.20-reasoning\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-4.20-reasoning-beta\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-4.3\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:spacexai/grok-4.5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:spacexai/grok-4.6\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-build-0.1\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-imagine-image\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-imagine-image-2.0\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-imagine-video\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-imagine-video-1.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-imagine-video-1.5-preview\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-stt\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-tts\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-voice-think-fast-1.0\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:spacexai/grok-voice-think-fast-2.0\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:stepfun/step-3.5-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:stepfun/step-3.7-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"low\" | \"medium\" | \"high\" }>;\n readonly \"vercel:tencent/hy-mt2-lite\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:tencent/hy-mt2-plus\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:tencent/hy-mt2-pro\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:tencent/hy3\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:tencent/hy4-preview\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:thinkingmachines/inkling\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.effort\"?: \"none\" | \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\" }>;\n readonly \"vercel:thinkingmachines/inkling-small\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/rerank-2.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/rerank-2.5-lite\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-3-large\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-3.5\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-3.5-lite\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-4\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-4-large\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-4-lite\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-code-2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-code-3\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-finance-2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:voyage/voyage-law-2\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:xiaomi/mimo-v2.5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:xiaomi/mimo-v2.5-pro\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:xiaomi/mimo-v2.5-pro-ultraspeed\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:zai/glm-4.5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-4.5-air\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-4.5v\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-4.6\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-4.7\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-4.7-flash\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-4.7-flashx\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-5\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-5-turbo\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-5.1\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n readonly \"vercel:zai/glm-5.2\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"xhigh\" }>;\n readonly \"vercel:zai/glm-5.2-fast\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean; readonly \"reasoning.effort\"?: \"high\" | \"xhigh\" }>;\n readonly \"vercel:zai/glm-5.3\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:zai/glm-5.3-flash\": Readonly<{ readonly \"caching.auto\"?: boolean }>;\n readonly \"vercel:zai/glm-5v-turbo\": Readonly<{ readonly \"caching.auto\"?: boolean; readonly \"reasoning.enabled\"?: boolean }>;\n}\n\n/** A provider-qualified gateway model key known when this package was generated. */\nexport type KnownGatewayModelKey = keyof KnownGatewayOptionValuesByKey;\n\n/** Exact option values for one reviewed gateway model. */\nexport type KnownGatewayOptionValues = KnownGatewayOptionValuesByKey[TKey];\n"},{"path":"source/packages/providers/src/google.ts","content":"import {\n capability,\n liveApiSource,\n mapModelOptions,\n type ModelCatalog,\n type ModelDescriptor,\n type ProviderAdapter,\n} from \"../../core/src/index.ts\";\nimport { z } from \"zod\";\nimport { baseModel, mergeCapabilities } from \"./model.ts\";\nimport { googleOptions } from \"./options.ts\";\nimport { fetchProviderJson, ProviderDiscoveryError, requireApiKey } from \"./shared.ts\";\n\nconst DEFAULT_ENDPOINT = \"https://generativelanguage.googleapis.com/v1beta/models\";\nconst responseSchema = z.object({\n models: z.array(\n z\n .object({\n name: z.string(),\n baseModelId: z.string().optional(),\n displayName: z.string().optional(),\n description: z.string().optional(),\n inputTokenLimit: z.number().optional(),\n outputTokenLimit: z.number().optional(),\n supportedGenerationMethods: z.array(z.string()).optional(),\n supportedActions: z.array(z.string()).optional(),\n thinking: z.boolean().optional(),\n })\n .passthrough(),\n ),\n nextPageToken: z.string().optional(),\n});\n\n/** Discover Google AI models, limits, methods, and general thinking support. */\nexport const googleAdapter: ProviderAdapter<\"google\"> = {\n id: \"google\",\n name: \"Google AI\",\n catalogEndpoint: DEFAULT_ENDPOINT,\n requiresAuthentication: true,\n async discover(context = {}) {\n const apiKey = requireApiKey(context, \"Google AI\");\n const endpoint = context.baseUrl ?? DEFAULT_ENDPOINT;\n const pages: Array[\"models\"][number]> = [];\n const seenPageTokens = new Set();\n let pageToken: string | undefined;\n let fetchedAt = new Date().toISOString();\n do {\n const response = await fetchProviderJson(withGooglePageToken(endpoint, pageToken), context, {\n \"x-goog-api-key\": apiKey,\n });\n fetchedAt = response.fetchedAt;\n const parsed = responseSchema.parse(response.value);\n pages.push(...parsed.models);\n pageToken = parsed.nextPageToken;\n if (pageToken !== undefined && seenPageTokens.has(pageToken)) {\n throw new ProviderDiscoveryError(\"Google AI returned a repeated model-list page token.\");\n }\n if (pageToken !== undefined) {\n seenPageTokens.add(pageToken);\n }\n } while (pageToken !== undefined);\n const source = { ...liveApiSource(endpoint, fetchedAt), scope: \"account\" as const };\n const models = pages.map((raw): ModelDescriptor<\"google\"> => {\n const id = raw.baseModelId ?? raw.name.replace(/^models\\//, \"\");\n const actions = raw.supportedActions ?? raw.supportedGenerationMethods ?? [];\n const kind = googleModelKind(actions);\n const model = baseModel({\n provider: \"google\",\n id,\n name: raw.displayName ?? id,\n source,\n raw,\n kind,\n options: googleOptions(id),\n });\n return {\n ...model,\n ...(raw.description === undefined ? {} : { description: raw.description }),\n ...(raw.inputTokenLimit === undefined\n ? {}\n : {\n contextWindow: {\n value: raw.inputTokenLimit,\n confidence: \"provider-confirmed\" as const,\n sources: [source],\n },\n }),\n ...(raw.outputTokenLimit === undefined\n ? {}\n : {\n maxOutputTokens: {\n value: raw.outputTokenLimit,\n confidence: \"provider-confirmed\" as const,\n sources: [source],\n },\n }),\n capabilities: mergeCapabilities(model.capabilities, {\n reasoning: capability(raw.thinking === true ? \"supported\" : \"unknown\", [source]),\n tools: capability(\"unknown\", [source]),\n }),\n interfaces: actions.includes(\"generateContent\") ? [\"google-generate-content\"] : [],\n requirements: [\n {\n id: \"google-server-discovery\",\n kind: \"server-only\",\n title: \"Direct discovery stays on the server\",\n description:\n \"The Google model endpoint requires a credential that must not enter browser components.\",\n support: capability(\"supported\", [source]),\n sources: [source],\n },\n ],\n };\n });\n return {\n schemaVersion: 1,\n provider: \"google\",\n fetchedAt,\n source,\n models,\n } satisfies ModelCatalog<\"google\">;\n },\n mapOptions(model, values) {\n return mapModelOptions(model, values);\n },\n};\n\nfunction withGooglePageToken(endpoint: string, pageToken?: string): string {\n const url = new URL(endpoint);\n if (pageToken !== undefined) {\n url.searchParams.set(\"pageToken\", pageToken);\n }\n return url.toString();\n}\n\nfunction googleModelKind(actions: readonly string[]): ModelDescriptor[\"kind\"] {\n if (actions.includes(\"embedContent\") || actions.includes(\"batchEmbedContents\")) {\n return \"embedding\";\n }\n return actions.includes(\"generateContent\") ? \"language\" : \"system\";\n}\n"},{"path":"source/packages/providers/src/index.ts","content":"export { anthropicAdapter } from \"./anthropic.ts\";\nexport { googleAdapter } from \"./google.ts\";\nexport { knownOpenRouterModelIds, knownVercelModelIds } from \"./generated/modelIds.ts\";\nexport type {\n KnownGatewayModelId,\n KnownGatewayModelKey,\n KnownGatewayOptionValues,\n KnownGatewayOptionValuesByKey,\n KnownOpenRouterModelId,\n KnownVercelModelId,\n} from \"./generated/modelIds.ts\";\nexport { openAiAdapter } from \"./openai.ts\";\nexport { openRouterAdapter } from \"./openrouter.ts\";\nexport { selectKnownGatewayModel } from \"./known.ts\";\nexport type { KnownGatewayModel, KnownGatewaySelection } from \"./known.ts\";\nexport {\n anthropicConstraints,\n anthropicOptions,\n googleOptions,\n openAiOptions,\n openRouterOptions,\n optionSources,\n vercelGatewayOptions,\n} from \"./options.ts\";\nexport { ProviderDiscoveryError } from \"./shared.ts\";\nexport { vercelGatewayAdapter } from \"./vercel.ts\";\n\nimport type { ProviderAdapter } from \"../../core/src/index.ts\";\nimport { anthropicAdapter } from \"./anthropic.ts\";\nimport { googleAdapter } from \"./google.ts\";\nimport { openAiAdapter } from \"./openai.ts\";\nimport { openRouterAdapter } from \"./openrouter.ts\";\nimport { vercelGatewayAdapter } from \"./vercel.ts\";\n\n/** All first-party provider adapters in stable display order. */\nexport const providerAdapters: readonly ProviderAdapter[] = [\n vercelGatewayAdapter,\n openRouterAdapter,\n openAiAdapter,\n anthropicAdapter,\n googleAdapter,\n];\n"},{"path":"source/packages/providers/src/known.ts","content":"import { selectModel, type ModelCatalog, type ModelDescriptor } from \"../../core/src/index.ts\";\nimport type { KnownGatewayModelKey, KnownGatewayOptionValues } from \"./generated/modelIds.ts\";\n\n/** A reviewed gateway model narrowed to its provider-qualified key. */\nexport type KnownGatewayModel = ModelDescriptor<\n TKey extends `${infer TProvider}:${string}` ? TProvider : never\n> & {\n readonly key: TKey;\n readonly id: TKey extends `${string}:${infer TId}` ? TId : never;\n};\n\n/** A compile-time exact selection from a reviewed gateway snapshot. */\nexport interface KnownGatewaySelection {\n readonly model: KnownGatewayModel;\n readonly options: KnownGatewayOptionValues;\n}\n\n/** Select a reviewed gateway model with its exact generated option type. */\nexport function selectKnownGatewayModel(\n catalogs: readonly ModelCatalog[],\n key: TKey,\n options: KnownGatewayOptionValues>,\n): KnownGatewaySelection {\n const model = catalogs.flatMap((catalog) => catalog.models).find((item) => item.key === key);\n if (model === undefined) {\n throw new RangeError(`The reviewed model ${key} is not present in these catalogs.`);\n }\n return selectModel(model, options) as unknown as KnownGatewaySelection;\n}\n"},{"path":"source/packages/providers/src/model.ts","content":"import {\n capability,\n unknownCapabilities,\n type CapabilitySupport,\n type ModelCapabilities,\n type ModelDescriptor,\n type Modality,\n type OptionDefinition,\n type ProviderId,\n type SourceReference,\n} from \"../../core/src/index.ts\";\n\n/** Build a model descriptor with conservative unknown defaults. */\nexport function baseModel(input: {\n readonly provider: TProvider;\n readonly id: string;\n readonly name: string;\n readonly kind?: ModelDescriptor[\"kind\"];\n readonly source: SourceReference;\n readonly raw: unknown;\n readonly options?: readonly OptionDefinition[];\n}): ModelDescriptor {\n return {\n key: `${input.provider}:${input.id}`,\n provider: input.provider,\n id: input.id,\n name: input.name,\n kind: input.kind ?? \"language\",\n lifecycle: \"unknown\",\n capabilities: unknownCapabilities(),\n interfaces: [],\n prices: [],\n routes: [],\n options: input.options ?? [],\n requirements: [],\n sources: [input.source],\n raw: input.raw,\n };\n}\n\n/** Convert declared media lists to evidence-backed capability maps. */\nexport function modalityCapabilities(\n modalities: readonly string[],\n source: SourceReference,\n): Readonly>> {\n const result: Partial> = {};\n for (const modality of modalities) {\n if (isModality(modality)) {\n result[modality] = capability(\"supported\", [source]);\n }\n }\n return result;\n}\n\n/** Merge partial capability facts while preserving unknown fields. */\nexport function mergeCapabilities(\n base: ModelCapabilities,\n patch: Partial,\n): ModelCapabilities {\n return {\n input: patch.input ?? base.input,\n output: patch.output ?? base.output,\n reasoning: patch.reasoning ?? base.reasoning,\n tools: patch.tools ?? base.tools,\n structuredOutput: patch.structuredOutput ?? base.structuredOutput,\n promptCaching: patch.promptCaching ?? base.promptCaching,\n };\n}\n\nfunction isModality(value: string): value is Modality {\n return [\"audio\", \"file\", \"image\", \"text\", \"video\"].includes(value);\n}\n"},{"path":"source/packages/providers/src/openai.ts","content":"import {\n liveApiSource,\n mapModelOptions,\n type ModelCatalog,\n type ModelDescriptor,\n type ProviderAdapter,\n} from \"../../core/src/index.ts\";\nimport { z } from \"zod\";\nimport { baseModel } from \"./model.ts\";\nimport { openAiOptions } from \"./options.ts\";\nimport { fetchProviderJson, requireApiKey } from \"./shared.ts\";\n\nconst DEFAULT_ENDPOINT = \"https://api.openai.com/v1/models\";\nconst responseSchema = z.object({\n data: z.array(\n z\n .object({\n id: z.string(),\n created: z.number().optional(),\n owned_by: z.string().optional(),\n shutdown_date: z.string().nullable().optional(),\n })\n .passthrough(),\n ),\n});\n\n/** Discover OpenAI model identity, then add dated official option overlays. */\nexport const openAiAdapter: ProviderAdapter<\"openai\"> = {\n id: \"openai\",\n name: \"OpenAI\",\n catalogEndpoint: DEFAULT_ENDPOINT,\n requiresAuthentication: true,\n async discover(context = {}) {\n const apiKey = requireApiKey(context, \"OpenAI\");\n const endpoint = context.baseUrl ?? DEFAULT_ENDPOINT;\n const response = await fetchProviderJson(endpoint, context, {\n Authorization: `Bearer ${apiKey}`,\n });\n const parsed = responseSchema.parse(response.value);\n const source = { ...liveApiSource(endpoint, response.fetchedAt), scope: \"account\" as const };\n const models = parsed.data.map((raw): ModelDescriptor<\"openai\"> => {\n const kind = openAiModelKind(raw.id);\n return {\n ...baseModel({\n provider: \"openai\",\n id: raw.id,\n name: raw.id,\n source,\n raw,\n options: openAiOptions(raw.id),\n kind,\n }),\n ...(raw.owned_by === undefined ? {} : { author: raw.owned_by }),\n ...(raw.created === undefined\n ? {}\n : { releasedAt: new Date(raw.created * 1000).toISOString() }),\n lifecycle:\n raw.shutdown_date === undefined || raw.shutdown_date === null ? \"unknown\" : \"deprecated\",\n interfaces: kind === \"language\" ? [\"openai-chat-completions\", \"openai-responses\"] : [],\n };\n });\n return {\n schemaVersion: 1,\n provider: \"openai\",\n fetchedAt: response.fetchedAt,\n source,\n models,\n } satisfies ModelCatalog<\"openai\">;\n },\n mapOptions(model, values) {\n return mapModelOptions(model, values);\n },\n};\n\nfunction openAiModelKind(modelId: string): ModelDescriptor[\"kind\"] {\n if (/^(?:text-embedding|embedding)/.test(modelId)) return \"embedding\";\n if (/^(?:dall-e|gpt-image)/.test(modelId)) return \"image\";\n if (/(?:transcribe|transcription|whisper|tts|audio)/.test(modelId)) return \"audio\";\n if (/(?:realtime|moderation|search)(?:-|$)/.test(modelId)) return \"system\";\n if (/^(?:gpt-|o[134](?:-|$)|chatgpt)/.test(modelId)) return \"language\";\n return \"system\";\n}\n"},{"path":"source/packages/providers/src/openrouter.ts","content":"import {\n capability,\n liveApiSource,\n mapModelOptions,\n type ModelCatalog,\n type ModelDescriptor,\n type PriceRate,\n type ProviderAdapter,\n} from \"../../core/src/index.ts\";\nimport { z } from \"zod\";\nimport { baseModel, mergeCapabilities, modalityCapabilities } from \"./model.ts\";\nimport { openRouterOptions } from \"./options.ts\";\nimport { fetchProviderJson } from \"./shared.ts\";\n\nconst DEFAULT_ENDPOINT = \"https://openrouter.ai/api/v1/models\";\n\nconst responseSchema = z.object({\n data: z.array(\n z\n .object({\n id: z.string(),\n name: z.string().optional(),\n description: z.string().optional(),\n created: z.number().optional(),\n context_length: z.number().optional(),\n architecture: z\n .object({\n input_modalities: z.array(z.string()).optional(),\n output_modalities: z.array(z.string()).optional(),\n })\n .passthrough()\n .optional(),\n pricing: z.record(z.string(), z.unknown()).optional(),\n supported_parameters: z.array(z.string()).optional(),\n reasoning: z\n .object({\n mandatory: z.boolean().optional(),\n default_enabled: z.boolean().optional(),\n supported_efforts: z.array(z.string()).nullable().optional(),\n default_effort: z.string().nullable().optional(),\n supports_max_tokens: z.boolean().optional(),\n })\n .passthrough()\n .nullable()\n .optional(),\n top_provider: z.record(z.string(), z.unknown()).optional(),\n })\n .passthrough(),\n ),\n});\n\n/** Discover the public OpenRouter catalog and its advertised parameter support. */\nexport const openRouterAdapter: ProviderAdapter<\"openrouter\"> = {\n id: \"openrouter\",\n name: \"OpenRouter\",\n catalogEndpoint: withAllOutputModalities(DEFAULT_ENDPOINT),\n requiresAuthentication: false,\n async discover(context = {}) {\n const endpoint = withAllOutputModalities(context.baseUrl ?? DEFAULT_ENDPOINT);\n const response = await fetchProviderJson(endpoint, context);\n const parsed = responseSchema.parse(response.value);\n const source = { ...liveApiSource(endpoint, response.fetchedAt), scope: \"endpoint\" as const };\n const models = parsed.data.map((raw): ModelDescriptor<\"openrouter\"> => {\n const supported = raw.supported_parameters ?? [];\n const model = baseModel({\n provider: \"openrouter\",\n id: raw.id,\n name: raw.name ?? raw.id,\n source,\n raw,\n kind: openRouterKind(raw.architecture?.output_modalities ?? []),\n options: openRouterOptions(\n raw.reasoning === undefined || raw.reasoning === null\n ? undefined\n : {\n ...(raw.reasoning.mandatory === undefined\n ? {}\n : { mandatory: raw.reasoning.mandatory }),\n ...(raw.reasoning.default_enabled === undefined\n ? {}\n : { defaultEnabled: raw.reasoning.default_enabled }),\n ...(raw.reasoning.supported_efforts === undefined ||\n raw.reasoning.supported_efforts === null\n ? {}\n : { supportedEfforts: raw.reasoning.supported_efforts }),\n ...(raw.reasoning.default_effort === undefined ||\n raw.reasoning.default_effort === null\n ? {}\n : { defaultEffort: raw.reasoning.default_effort }),\n ...(raw.reasoning.supports_max_tokens === undefined\n ? {}\n : { supportsMaxTokens: raw.reasoning.supports_max_tokens }),\n },\n ),\n });\n const supports = (name: string) => supported.includes(name);\n return {\n ...model,\n author: raw.id.split(\"/\")[0] ?? \"openrouter\",\n ...(raw.description === undefined ? {} : { description: raw.description }),\n ...(raw.created === undefined\n ? {}\n : { releasedAt: new Date(raw.created * 1000).toISOString() }),\n ...(raw.context_length === undefined\n ? {}\n : {\n contextWindow: {\n value: raw.context_length,\n confidence: \"provider-confirmed\" as const,\n sources: [source],\n },\n }),\n capabilities: mergeCapabilities(model.capabilities, {\n input: modalityCapabilities(raw.architecture?.input_modalities ?? [], source),\n output: modalityCapabilities(raw.architecture?.output_modalities ?? [], source),\n reasoning: capability(raw.reasoning === undefined ? \"unknown\" : \"supported\", [source]),\n tools: capability(supports(\"tools\") ? \"supported\" : \"unknown\", [source]),\n structuredOutput: capability(\n supports(\"structured_outputs\") || supports(\"response_format\") ? \"supported\" : \"unknown\",\n [source],\n ),\n promptCaching: capability(\n raw.pricing?.input_cache_read === undefined ? \"unknown\" : \"supported\",\n [source],\n ),\n }),\n interfaces: model.kind === \"language\" ? [\"openai-chat-completions\"] : [],\n prices: openRouterPrices(raw.pricing, source),\n routes: [],\n };\n });\n return {\n schemaVersion: 1,\n provider: \"openrouter\",\n fetchedAt: response.fetchedAt,\n source,\n models,\n } satisfies ModelCatalog<\"openrouter\">;\n },\n mapOptions(model, values) {\n return mapModelOptions(model, values);\n },\n};\n\nfunction openRouterKind(outputModalities: readonly string[]): ModelDescriptor[\"kind\"] {\n if (outputModalities.includes(\"text\")) {\n return \"language\";\n }\n for (const kind of [\"image\", \"audio\", \"video\"] as const) {\n if (outputModalities.includes(kind)) {\n return kind;\n }\n }\n if (outputModalities.includes(\"embeddings\")) {\n return \"embedding\";\n }\n return \"system\";\n}\n\nfunction withAllOutputModalities(endpoint: string): string {\n const url = new URL(endpoint);\n url.searchParams.set(\"output_modalities\", \"all\");\n return url.toString();\n}\n\nfunction openRouterPrices(\n pricing: Record | undefined,\n source: ReturnType,\n): readonly PriceRate[] {\n if (pricing === undefined) {\n return [];\n }\n const fields: ReadonlyArray = [\n [\"prompt\", \"input-token\"],\n [\"completion\", \"output-token\"],\n [\"input_cache_read\", \"cache-read-token\"],\n [\"input_cache_write\", \"cache-write-token\"],\n [\"image\", \"image\"],\n [\"request\", \"request\"],\n ];\n return fields.flatMap(([field, unit]) => {\n const usd = pricing[field];\n return typeof usd !== \"string\" || !/^\\d+(?:\\.\\d+)?$/.test(usd)\n ? []\n : [{ unit, usd, per: 1, evidence: [source] }];\n });\n}\n"},{"path":"source/packages/providers/src/options.ts","content":"import {\n capability,\n defineOptions,\n type OptionDefinition,\n type SelectionConstraint,\n type SourceReference,\n} from \"../../core/src/index.ts\";\nimport { docsSource } from \"./shared.ts\";\n\nconst OPENAI_RESPONSES = docsSource(\n \"https://developers.openai.com/api/reference/resources/responses/methods/create\",\n \"provider\",\n);\nconst ANTHROPIC_EFFORT = docsSource(\n \"https://platform.claude.com/docs/en/build-with-claude/effort\",\n \"provider\",\n);\nconst ANTHROPIC_THINKING = docsSource(\n \"https://platform.claude.com/docs/en/build-with-claude/extended-thinking\",\n \"provider\",\n);\nconst ANTHROPIC_FAST = docsSource(\n \"https://platform.claude.com/docs/en/build-with-claude/fast-mode\",\n \"model\",\n);\nconst ANTHROPIC_CACHE = docsSource(\n \"https://platform.claude.com/docs/en/build-with-claude/prompt-caching\",\n \"provider\",\n);\nconst ANTHROPIC_BETA = docsSource(\n \"https://platform.claude.com/docs/en/api/beta-headers\",\n \"provider\",\n);\nconst GOOGLE_THINKING = docsSource(\n \"https://ai.google.dev/gemini-api/docs/generate-content/thinking?hl=en\",\n \"model\",\n);\nconst GOOGLE_TIERS = docsSource(\n \"https://ai.google.dev/gemini-api/docs/optimization?hl=en\",\n \"provider\",\n);\nconst OPENROUTER_REASONING = docsSource(\n \"https://openrouter.ai/docs/guides/best-practices/reasoning-tokens\",\n \"endpoint\",\n);\nconst VERCEL_OPTIONS = docsSource(\n \"https://vercel.com/docs/ai-gateway/models-and-providers/provider-options\",\n \"endpoint\",\n);\n\n/** Current documented OpenAI request controls for recognized reasoning families. */\nexport function openAiOptions(modelId: string): readonly OptionDefinition[] {\n if (!/^(?:gpt-5|o[134])/.test(modelId)) {\n return [];\n }\n const efforts = modelId.startsWith(\"gpt-5.6\")\n ? ([\"none\", \"low\", \"medium\", \"high\", \"xhigh\", \"max\"] as const)\n : ([\"none\", \"low\", \"medium\", \"high\", \"xhigh\"] as const);\n return defineOptions([\n {\n key: \"reasoning.effort\",\n kind: \"enum\",\n label: \"Reasoning effort\",\n description: \"Controls how much work the model performs before answering.\",\n group: \"reasoning\",\n support: capability(\"supported\", [OPENAI_RESPONSES]),\n values: efforts,\n target: { kind: \"provider-option\", namespace: \"openai\", path: [\"reasoningEffort\"] },\n },\n {\n key: \"service.tier\",\n kind: \"enum\",\n label: \"Service tier\",\n description: \"Chooses standard, lower-cost flex, or faster processing when available.\",\n group: \"routing\",\n support: capability(\n \"supported\",\n [OPENAI_RESPONSES],\n \"Account and model entitlement can narrow these values.\",\n ),\n values: [\"auto\", \"default\", \"flex\", \"fast\", \"priority\"] as const,\n target: { kind: \"provider-option\", namespace: \"openai\", path: [\"serviceTier\"] },\n },\n ] as const);\n}\n\n/** Current Anthropic controls, narrowed by live model capabilities when provided. */\nexport function anthropicOptions(\n modelId: string,\n capabilities?: Record,\n): readonly OptionDefinition[] {\n const isDocumentedFamily = /claude-(?:fable|haiku|mythos|opus|sonnet)-(?:4-[5-9]|5)/.test(\n modelId,\n );\n if (!isDocumentedFamily && capabilities === undefined) {\n return [];\n }\n const effortValues =\n capabilities === undefined\n ? documentedAnthropicEffort(modelId)\n : supportedCapabilityKeys(capabilities[\"effort\"] ?? capabilities[\"reasoning_effort\"], [\n \"low\",\n \"medium\",\n \"high\",\n \"xhigh\",\n \"max\",\n ]);\n const thinkingModes =\n capabilities === undefined\n ? documentedAnthropicThinking(modelId)\n : supportedCapabilityKeys(asRecord(capabilities[\"thinking\"])?.[\"types\"], [\n \"adaptive\",\n \"enabled\",\n ]).filter((mode) => documentedAnthropicThinking(modelId).includes(mode));\n const canDisable = !/(?:fable-5|mythos-5|mythos-preview)/.test(modelId);\n const options: OptionDefinition[] = [];\n if (effortValues.length > 0) {\n options.push({\n key: \"reasoning.effort\",\n kind: \"enum\",\n label: \"Effort\",\n description: \"Controls total response work, including thinking and tool calls.\",\n group: \"reasoning\",\n support: capability(\"supported\", [ANTHROPIC_EFFORT]),\n values: effortValues,\n target: { kind: \"provider-option\", namespace: \"anthropic\", path: [\"effort\"] },\n });\n }\n if (thinkingModes.length > 0) {\n options.push({\n key: \"reasoning.mode\",\n kind: \"enum\",\n label: \"Thinking\",\n description: \"Uses only the thinking modes supported by this model.\",\n group: \"reasoning\",\n support: capability(\"supported\", [ANTHROPIC_THINKING]),\n values: [...thinkingModes, ...(canDisable ? [\"disabled\"] : [])],\n });\n }\n if (thinkingModes.includes(\"enabled\")) {\n options.push({\n key: \"reasoning.budgetTokens\",\n kind: \"integer\",\n label: \"Thinking budget\",\n description: \"Maximum thinking tokens for manual extended thinking.\",\n group: \"reasoning\",\n support: capability(\"supported\", [ANTHROPIC_THINKING]),\n min: 1024,\n step: 1024,\n visibleWhen: { key: \"reasoning.mode\", equals: \"enabled\" },\n });\n }\n if (isDocumentedFamily || capabilities !== undefined) {\n options.push({\n key: \"caching.ttl\",\n kind: \"enum\",\n label: \"Cache lifetime\",\n description: \"Marks content for Anthropic's ephemeral prompt cache.\",\n group: \"caching\",\n support: capability(\"supported\", [ANTHROPIC_CACHE]),\n values: [\"5m\", \"1h\"],\n target: { kind: \"provider-option\", namespace: \"anthropic\", path: [\"cacheControl\", \"ttl\"] },\n });\n options.push({\n key: \"beta.features\",\n kind: \"string-list\",\n label: \"Beta features\",\n description: \"Advanced opt-ins that can change request or response contracts.\",\n group: \"beta\",\n support: capability(\"supported\", [ANTHROPIC_BETA]),\n suggestions: isAnthropicFastModel(modelId) ? [\"fast-mode-2026-02-01\"] : [],\n target: { kind: \"provider-option\", namespace: \"anthropic\", path: [\"anthropicBeta\"] },\n });\n }\n if (isAnthropicFastModel(modelId)) {\n options.push({\n key: \"speed.mode\",\n kind: \"enum\",\n label: \"Speed\",\n description: \"Requests Anthropic fast mode when the account has access.\",\n group: \"speed\",\n support: capability(\n \"supported\",\n [ANTHROPIC_FAST],\n \"Requires account access and a beta contract.\",\n ),\n values: [\"standard\", \"fast\"],\n target: { kind: \"provider-option\", namespace: \"anthropic\", path: [\"speed\"] },\n });\n }\n return options;\n}\n\nfunction documentedAnthropicEffort(modelId: string): readonly string[] {\n const values = [\"low\", \"medium\", \"high\"];\n if (/(?:fable-5|mythos-(?:5|preview)|opus-(?:5|4-[678])|sonnet-(?:5|4-6))/.test(modelId)) {\n values.push(\"max\");\n }\n if (/(?:fable-5|mythos-5|opus-(?:5|4-[78])|sonnet-5)/.test(modelId)) {\n values.splice(3, 0, \"xhigh\");\n }\n return values;\n}\n\nfunction documentedAnthropicThinking(modelId: string): readonly string[] {\n return /(?:fable-5|mythos|opus-(?:5|4-[678])|sonnet-(?:5|4-6))/.test(modelId)\n ? [\"adaptive\"]\n : [\"enabled\"];\n}\n\nfunction isAnthropicFastModel(modelId: string): boolean {\n return /claude-opus-(?:5|4-8)(?:$|-)/.test(modelId);\n}\n\nfunction supportedCapabilityKeys(value: unknown, keys: readonly string[]): readonly string[] {\n const record = asRecord(value);\n return record === undefined\n ? []\n : keys.filter((key) => asRecord(record[key])?.[\"supported\"] === true);\n}\n\nfunction asRecord(value: unknown): Record | undefined {\n return typeof value === \"object\" && value !== null && !Array.isArray(value)\n ? (value as Record)\n : undefined;\n}\n\n/** Cross-field rules for Anthropic thinking controls. */\nexport function anthropicConstraints(modelId: string): readonly SelectionConstraint[] {\n if (\n !/claude-(?:fable|haiku|opus|sonnet)-(?:4-[5-9]|5)/.test(modelId) ||\n /(?:sonnet-4-6|opus-4-[678]|opus-5|sonnet-5|fable-5|mythos)/.test(modelId)\n ) {\n return [];\n }\n return [\n {\n kind: \"requires\",\n when: { key: \"reasoning.mode\", equals: \"enabled\" },\n key: \"reasoning.budgetTokens\",\n message: \"Manual thinking requires a token budget.\",\n },\n ];\n}\n\n/** Current documented Google reasoning and service-tier controls. */\nexport function googleOptions(modelId: string): readonly OptionDefinition[] {\n const options: OptionDefinition[] = [];\n const levels = googleThinkingLevels(modelId);\n if (levels.length > 0) {\n options.push({\n key: \"reasoning.level\",\n kind: \"enum\",\n label: \"Thinking level\",\n description: \"Balances latency and reasoning depth for Gemini 3 models.\",\n group: \"reasoning\",\n support: capability(\"supported\", [GOOGLE_THINKING]),\n values: levels,\n target: {\n kind: \"provider-option\",\n namespace: \"google\",\n path: [\"thinkingConfig\", \"thinkingLevel\"],\n },\n });\n } else {\n const range = googleThinkingBudgetRange(modelId);\n if (range !== undefined) {\n options.push({\n key: \"reasoning.budgetTokens\",\n kind: \"integer\",\n label: \"Thinking budget\",\n description: \"Guides the number of thinking tokens for Gemini 2.5 models.\",\n group: \"reasoning\",\n support: capability(\"supported\", [GOOGLE_THINKING]),\n min: range.min,\n max: range.max,\n step: 1,\n target: {\n kind: \"provider-option\",\n namespace: \"google\",\n path: [\"thinkingConfig\", \"thinkingBudget\"],\n },\n });\n }\n }\n if (/^gemini-(?:3\\.[5-7]|3-)/.test(modelId)) {\n options.push({\n key: \"service.tier\",\n kind: \"enum\",\n label: \"Service tier\",\n description: \"Chooses standard, lower-cost flex, or priority inference.\",\n group: \"routing\",\n support: capability(\n \"supported\",\n [GOOGLE_TIERS],\n \"Availability depends on API surface and account.\",\n ),\n values: [\"standard\", \"flex\", \"priority\"],\n target: { kind: \"provider-option\", namespace: \"google\", path: [\"serviceTier\"] },\n });\n }\n return options;\n}\n\nfunction googleThinkingLevels(modelId: string): readonly string[] {\n if (modelId.startsWith(\"gemini-3.7-flash\")) return [\"low\", \"medium\", \"high\"];\n if (/^gemini-3\\.(?:6|5)-flash(?!-lite)/.test(modelId)) {\n return [\"minimal\", \"low\", \"medium\", \"high\"];\n }\n if (modelId.startsWith(\"gemini-3.1-pro\")) return [\"low\", \"medium\", \"high\"];\n if (/^gemini-3\\.(?:5|1)-flash-lite(?!-image)/.test(modelId)) {\n return [\"minimal\", \"low\", \"medium\", \"high\"];\n }\n if (modelId.startsWith(\"gemini-3.1-flash-lite-image\")) return [\"minimal\", \"high\"];\n if (modelId.startsWith(\"gemini-3-flash\")) return [\"minimal\", \"low\", \"medium\", \"high\"];\n if (modelId.startsWith(\"gemini-3-pro\")) return [\"low\", \"high\"];\n return [];\n}\n\nfunction googleThinkingBudgetRange(\n modelId: string,\n): { readonly min: number; readonly max: number } | undefined {\n if (modelId.startsWith(\"gemini-2.5-pro\")) return { min: 128, max: 32_768 };\n if (modelId.startsWith(\"gemini-2.5-flash-lite\")) return { min: 512, max: 24_576 };\n if (modelId.startsWith(\"gemini-2.5-flash\")) return { min: 0, max: 24_576 };\n return undefined;\n}\n\n/** Live reasoning metadata returned by OpenRouter's model catalog. */\nexport interface OpenRouterReasoningMetadata {\n readonly mandatory?: boolean;\n readonly defaultEnabled?: boolean;\n readonly supportedEfforts?: readonly string[];\n readonly defaultEffort?: string;\n readonly supportsMaxTokens?: boolean;\n}\n\n/** OpenRouter controls derived from the exact live reasoning metadata. */\nexport function openRouterOptions(\n reasoning: OpenRouterReasoningMetadata | undefined,\n): readonly OptionDefinition[] {\n if (reasoning === undefined) {\n return [];\n }\n const options: OptionDefinition[] = [];\n if (reasoning.mandatory !== true) {\n options.push({\n key: \"reasoning.enabled\",\n kind: \"boolean\",\n label: \"Reasoning\",\n description: \"Enables reasoning with the model's default settings.\",\n group: \"reasoning\",\n support: capability(\"supported\", [OPENROUTER_REASONING]),\n ...(reasoning.defaultEnabled === undefined ? {} : { defaultValue: reasoning.defaultEnabled }),\n target: { kind: \"request-option\", path: [\"reasoning\", \"enabled\"] },\n });\n }\n const efforts = (reasoning.supportedEfforts ?? []).filter(\n (effort) => reasoning.mandatory !== true || effort !== \"none\",\n );\n if (efforts.length > 0) {\n options.push({\n key: \"reasoning.effort\",\n kind: \"enum\",\n label: \"Reasoning effort\",\n description: \"Uses only the effort levels advertised for this model.\",\n group: \"reasoning\",\n support: capability(\"supported\", [OPENROUTER_REASONING]),\n values: efforts,\n ...(reasoning.defaultEffort === undefined || !efforts.includes(reasoning.defaultEffort)\n ? {}\n : { defaultValue: reasoning.defaultEffort }),\n target: { kind: \"request-option\", path: [\"reasoning\", \"effort\"] },\n });\n }\n if (reasoning.supportsMaxTokens === true) {\n options.push({\n key: \"reasoning.maxTokens\",\n kind: \"integer\",\n label: \"Reasoning token budget\",\n description: \"Sets the maximum reasoning tokens when this model supports a direct budget.\",\n group: \"reasoning\",\n support: capability(\"supported\", [OPENROUTER_REASONING]),\n min: 1,\n step: 1,\n target: { kind: \"request-option\", path: [\"reasoning\", \"max_tokens\"] },\n });\n }\n options.push({\n key: \"reasoning.exclude\",\n kind: \"boolean\",\n label: \"Hide reasoning output\",\n description: \"Keeps reasoning active but excludes its trace from the response.\",\n group: \"reasoning\",\n support: capability(\"supported\", [OPENROUTER_REASONING]),\n target: { kind: \"request-option\", path: [\"reasoning\", \"exclude\"] },\n });\n return options;\n}\n\n/** Vercel Gateway controls that are independent of the upstream model provider. */\nexport function vercelGatewayOptions(): readonly OptionDefinition[] {\n return defineOptions([\n {\n key: \"caching.auto\",\n kind: \"boolean\",\n label: \"Automatic caching\",\n description: \"Lets AI Gateway apply provider-appropriate cache markers.\",\n group: \"caching\",\n support: capability(\"supported\", [VERCEL_OPTIONS]),\n },\n ] as const);\n}\n\n/** Sources used by generated option overlays. */\nexport function optionSources(): readonly SourceReference[] {\n return [\n OPENAI_RESPONSES,\n ANTHROPIC_EFFORT,\n ANTHROPIC_THINKING,\n ANTHROPIC_FAST,\n ANTHROPIC_CACHE,\n ANTHROPIC_BETA,\n GOOGLE_THINKING,\n GOOGLE_TIERS,\n OPENROUTER_REASONING,\n VERCEL_OPTIONS,\n ];\n}\n"},{"path":"source/packages/providers/src/shared.ts","content":"import type { DiscoveryContext, SourceReference } from \"../../core/src/index.ts\";\n\n/** A safe provider discovery failure with the response status when available. */\nexport class ProviderDiscoveryError extends Error {\n readonly status?: number;\n\n constructor(message: string, status?: number, options?: ErrorOptions) {\n super(message, options);\n this.name = \"ProviderDiscoveryError\";\n if (status !== undefined) {\n this.status = status;\n }\n }\n}\n\n/** Fetch and parse one provider response without exposing credentials in errors. */\nexport async function fetchProviderJson(\n url: string,\n context: DiscoveryContext,\n headers: Readonly> = {},\n): Promise<{ readonly value: unknown; readonly fetchedAt: string }> {\n const fetchImplementation = context.fetch ?? globalThis.fetch;\n let response: Response;\n try {\n response = await fetchImplementation(url, {\n headers,\n ...(context.signal === undefined ? {} : { signal: context.signal }),\n });\n } catch {\n throw new ProviderDiscoveryError(\"The provider catalog could not be reached.\");\n }\n\n if (!response.ok) {\n throw new ProviderDiscoveryError(\n `The provider catalog returned HTTP ${response.status}.`,\n response.status,\n );\n }\n\n try {\n return { value: await response.json(), fetchedAt: new Date().toISOString() };\n } catch {\n throw new ProviderDiscoveryError(\n \"The provider catalog returned invalid JSON.\",\n response.status,\n );\n }\n}\n\n/** Require a server-side provider credential for authenticated discovery. */\nexport function requireApiKey(context: DiscoveryContext, providerName: string): string {\n if (context.apiKey === undefined || context.apiKey.length === 0) {\n throw new ProviderDiscoveryError(\n `${providerName} model discovery requires a server-side API key.`,\n );\n }\n return context.apiKey;\n}\n\n/** Create a dated official-document source. */\nexport function docsSource(\n url: string,\n scope: SourceReference[\"scope\"] = \"provider\",\n): SourceReference {\n return {\n kind: \"provider-docs\",\n url,\n retrievedAt: \"2026-08-31T00:00:00.000Z\",\n scope,\n };\n}\n"},{"path":"source/packages/providers/src/vercel.ts","content":"import {\n capability,\n liveApiSource,\n mapModelOptions,\n type MappedModelOptions,\n type ModelCatalog,\n type ModelDescriptor,\n type OptionDefinition,\n type PriceRate,\n type ProviderAdapter,\n} from \"../../core/src/index.ts\";\nimport { z } from \"zod\";\nimport { baseModel, mergeCapabilities, modalityCapabilities } from \"./model.ts\";\nimport {\n anthropicConstraints,\n anthropicOptions,\n googleOptions,\n openAiOptions,\n vercelGatewayOptions,\n} from \"./options.ts\";\nimport { fetchProviderJson } from \"./shared.ts\";\n\nconst DEFAULT_ENDPOINT = \"https://ai-gateway.vercel.sh/v1/models\";\n\nconst responseSchema = z.object({\n data: z.array(\n z\n .object({\n id: z.string(),\n name: z.string().optional(),\n description: z.string().optional(),\n created: z.number().optional(),\n released: z.number().optional(),\n owned_by: z.string().optional(),\n context_window: z.number().optional(),\n max_tokens: z.number().optional(),\n type: z.string().optional(),\n tags: z.array(z.string()).optional(),\n supported_parameters: z.array(z.string()).optional(),\n modalities: z\n .object({\n input: z.array(z.string()).optional(),\n output: z.array(z.string()).optional(),\n })\n .passthrough()\n .optional(),\n reasoning_options: z\n .array(\n z\n .object({\n type: z.string(),\n values: z.array(z.string()).optional(),\n min: z.number().optional(),\n max: z.number().optional(),\n })\n .passthrough(),\n )\n .optional(),\n pricing: z.record(z.string(), z.unknown()).optional(),\n endpoints: z\n .array(\n z\n .object({\n name: z.string(),\n provider_name: z.string().optional(),\n pricing: z.record(z.string(), z.unknown()).optional(),\n status: z.number().optional(),\n })\n .passthrough(),\n )\n .optional(),\n })\n .passthrough(),\n ),\n});\n\n/** Discover Vercel AI Gateway's public catalog with capabilities and prices. */\nexport const vercelGatewayAdapter: ProviderAdapter<\"vercel\"> = {\n id: \"vercel\",\n name: \"Vercel AI Gateway\",\n catalogEndpoint: DEFAULT_ENDPOINT,\n requiresAuthentication: false,\n async discover(context = {}) {\n const endpoint = context.baseUrl ?? DEFAULT_ENDPOINT;\n const response = await fetchProviderJson(endpoint, context);\n const parsed = responseSchema.parse(response.value);\n const source = { ...liveApiSource(endpoint, response.fetchedAt), scope: \"endpoint\" as const };\n const models = parsed.data.map((raw): ModelDescriptor<\"vercel\"> => {\n const tags = raw.tags ?? [];\n const [upstream = \"\", ...modelParts] = raw.id.split(\"/\");\n const upstreamId = modelParts.join(\"/\");\n const liveReasoningOptions = vercelReasoningOptions(raw.reasoning_options, source);\n const options = mergeOptions(\n [\n ...vercelGatewayOptions(),\n ...upstreamOptions(upstream, upstreamId).filter(\n (option) => ![\"speed.mode\", \"service.tier\"].includes(option.key),\n ),\n ...vercelSpeedOptions(raw, source),\n ],\n liveReasoningOptions,\n );\n const model = baseModel({\n provider: \"vercel\",\n id: raw.id,\n name: raw.name ?? raw.id,\n kind: modelKind(raw.type),\n source,\n raw,\n options,\n });\n const prices = vercelPrices(raw.pricing, source);\n const supported = raw.supported_parameters ?? [];\n const supports = (name: string) => supported.includes(name);\n return {\n ...model,\n ...(raw.description === undefined ? {} : { description: raw.description }),\n ...(raw.owned_by === undefined ? {} : { author: raw.owned_by }),\n ...(raw.released === undefined\n ? {}\n : { releasedAt: new Date(raw.released * 1000).toISOString() }),\n ...(raw.context_window === undefined\n ? {}\n : {\n contextWindow: {\n value: raw.context_window,\n confidence: \"provider-confirmed\" as const,\n sources: [source],\n },\n }),\n ...(raw.max_tokens === undefined\n ? {}\n : {\n maxOutputTokens: {\n value: raw.max_tokens,\n confidence: \"provider-confirmed\" as const,\n sources: [source],\n },\n }),\n capabilities: mergeCapabilities(model.capabilities, {\n input: modalityCapabilities(raw.modalities?.input ?? [], source),\n output: modalityCapabilities(raw.modalities?.output ?? [], source),\n reasoning: capability(\n liveReasoningOptions.length > 0 || supports(\"reasoning\") ? \"supported\" : \"unknown\",\n [source],\n ),\n tools: capability(\n supports(\"tools\") || tags.includes(\"tool-use\") ? \"supported\" : \"unknown\",\n [source],\n ),\n structuredOutput: capability(\n supports(\"structured_outputs\") || tags.includes(\"structured-output\")\n ? \"supported\"\n : \"unknown\",\n [source],\n ),\n promptCaching: capability(\n raw.pricing?.input_cache_read === undefined ? \"unknown\" : \"supported\",\n [source],\n ),\n }),\n interfaces:\n model.kind === \"language\" ? [\"openai-chat-completions\", \"openai-responses\"] : [],\n prices,\n routes: (raw.endpoints ?? []).map((route) => ({\n id: route.name,\n ...(route.provider_name === undefined ? {} : { provider: route.provider_name }),\n prices: vercelPrices(route.pricing, source),\n sources: [source],\n raw: route,\n })),\n ...(upstreamConstraints(upstream, upstreamId).length === 0\n ? {}\n : { constraints: upstreamConstraints(upstream, upstreamId) }),\n };\n });\n return {\n schemaVersion: 1,\n provider: \"vercel\",\n fetchedAt: response.fetchedAt,\n source,\n models,\n } satisfies ModelCatalog<\"vercel\">;\n },\n mapOptions(model, values) {\n const mapped = mapModelOptions(model, values);\n const autoCaching = values[\"caching.auto\"];\n const gateway = { ...(mapped.providerOptions.gateway as Record | undefined) };\n const speed = values[\"speed.mode\"];\n if (speed === \"standard\" || speed === \"flex\" || speed === \"priority\") {\n delete gateway.speed;\n if (speed !== \"standard\") gateway.serviceTier = speed;\n }\n const normalized = { ...mapped.providerOptions, gateway };\n const upstream = model.id.split(\"/\")[0];\n const providerOptions =\n upstream === \"anthropic\" ? mapAnthropicOptions(normalized, values) : normalized;\n return {\n ...mapped,\n providerOptions:\n autoCaching === true\n ? mergeNested(providerOptions, { gateway: { caching: \"auto\" } })\n : providerOptions,\n warnings:\n upstream === \"anthropic\"\n ? mapped.warnings.filter(\n (warning) =>\n ![\"reasoning.mode\", \"reasoning.budgetTokens\"].some((key) =>\n warning.startsWith(`${key} `),\n ),\n )\n : mapped.warnings,\n } satisfies MappedModelOptions;\n },\n};\n\nfunction vercelSpeedOptions(\n raw: {\n type?: string | undefined;\n tags?: string[] | undefined;\n pricing?: Record | undefined;\n },\n source: ReturnType,\n): readonly OptionDefinition[] {\n if (raw.type !== \"language\") return [];\n const tiers = raw.pricing?.service_tiers;\n const values = [\"standard\"];\n if (typeof tiers === \"object\" && tiers !== null && !Array.isArray(tiers)) {\n for (const tier of [\"flex\", \"priority\"]) {\n if (Object.hasOwn(tiers, tier)) values.push(tier);\n }\n }\n if (raw.tags?.includes(\"fast\")) values.push(\"fast\");\n if (values.length === 1) return [];\n return [\n {\n key: \"speed.mode\",\n kind: \"enum\",\n label: \"Speed\",\n group: \"speed\",\n description:\n \"Flex trades latency for lower cost; priority and fast cost more. Requested tiers depend on provider capacity.\",\n support: capability(\"supported\", [source]),\n values,\n defaultValue: \"standard\",\n target: { kind: \"provider-option\", namespace: \"gateway\", path: [\"speed\"] },\n },\n ];\n}\n\nfunction mergeOptions(\n documented: readonly OptionDefinition[],\n live: readonly OptionDefinition[],\n): readonly OptionDefinition[] {\n const normalizedLive = live.filter(\n (option) =>\n option.key !== \"reasoning.enabled\" ||\n !documented.some((candidate) => candidate.key === \"reasoning.mode\"),\n );\n const liveByKey = new Map(normalizedLive.map((option) => [option.key, option]));\n return [\n ...documented.map((option) => liveByKey.get(option.key) ?? option),\n ...normalizedLive.filter(\n (option) => !documented.some((candidate) => candidate.key === option.key),\n ),\n ];\n}\n\nfunction mapAnthropicOptions(\n providerOptions: Readonly>,\n values: Readonly>,\n): Readonly> {\n const anthropic = {\n ...(providerOptions.anthropic as Record | undefined),\n };\n const mode = values[\"reasoning.mode\"];\n if (mode === \"adaptive\" || mode === \"disabled\") {\n anthropic.thinking = { type: mode };\n } else if (mode === \"enabled\") {\n anthropic.thinking = {\n type: \"enabled\",\n ...(typeof values[\"reasoning.budgetTokens\"] === \"number\"\n ? { budgetTokens: values[\"reasoning.budgetTokens\"] }\n : {}),\n };\n }\n if (typeof values[\"caching.ttl\"] === \"string\") {\n anthropic.cacheControl = { type: \"ephemeral\", ttl: values[\"caching.ttl\"] };\n }\n return { ...providerOptions, anthropic };\n}\n\nfunction upstreamOptions(provider: string, modelId: string): readonly OptionDefinition[] {\n switch (provider) {\n case \"anthropic\":\n return anthropicOptions(modelId);\n case \"google\":\n return googleOptions(modelId);\n case \"openai\":\n return openAiOptions(modelId);\n default:\n return [];\n }\n}\n\nfunction upstreamConstraints(\n provider: string,\n modelId: string,\n): NonNullable {\n return provider === \"anthropic\" ? anthropicConstraints(modelId) : [];\n}\n\nfunction vercelReasoningOptions(\n values:\n | readonly {\n readonly type: string;\n readonly values?: readonly string[] | undefined;\n readonly min?: number | undefined;\n readonly max?: number | undefined;\n }[]\n | undefined,\n source: ReturnType,\n): readonly OptionDefinition[] {\n const options: OptionDefinition[] = [];\n for (const value of values ?? []) {\n if (value.type === \"toggle\") {\n options.push({\n key: \"reasoning.enabled\",\n kind: \"boolean\",\n label: \"Reasoning\",\n description: \"Enables or disables reasoning for this model.\",\n group: \"reasoning\",\n support: capability(\"supported\", [source]),\n target: { kind: \"request-option\", path: [\"reasoning\", \"enabled\"] },\n });\n } else if (value.type === \"effort\" && (value.values?.length ?? 0) > 0) {\n options.push({\n key: \"reasoning.effort\",\n kind: \"enum\",\n label: \"Reasoning effort\",\n description: \"Uses only the effort levels advertised by AI Gateway.\",\n group: \"reasoning\",\n support: capability(\"supported\", [source]),\n values: value.values ?? [],\n target: { kind: \"request-option\", path: [\"reasoning\", \"effort\"] },\n });\n } else if (value.type === \"budget_tokens\") {\n options.push({\n key: \"reasoning.maxTokens\",\n kind: \"integer\",\n label: \"Reasoning token budget\",\n description: \"Sets the reasoning token budget within the advertised limits.\",\n group: \"reasoning\",\n support: capability(\"supported\", [source]),\n ...(value.min === undefined ? {} : { min: value.min }),\n ...(value.max === undefined ? {} : { max: value.max }),\n step: 1,\n target: { kind: \"request-option\", path: [\"reasoning\", \"max_tokens\"] },\n });\n }\n }\n return options;\n}\n\nfunction modelKind(type: string | undefined): ModelDescriptor[\"kind\"] {\n switch (type) {\n case \"audio\":\n case \"embedding\":\n case \"image\":\n case \"language\":\n case \"video\":\n return type;\n default:\n return \"system\";\n }\n}\n\nfunction vercelPrices(\n pricing: Record | undefined,\n source: ReturnType,\n): readonly PriceRate[] {\n if (pricing === undefined) {\n return [];\n }\n const fields: ReadonlyArray = [\n [\"input\", \"input-token\", 1],\n [\"output\", \"output-token\", 1],\n [\"input_cache_read\", \"cache-read-token\", 1],\n [\"input_cache_write\", \"cache-write-token\", 1],\n [\"image\", \"image\", 1],\n [\"web_search\", \"request\", 1_000],\n ];\n return fields.flatMap(([field, unit, per]) => {\n const usd = pricing[field];\n return typeof usd !== \"string\" || !/^\\d+(?:\\.\\d+)?$/.test(usd)\n ? []\n : [{ unit, usd, per, evidence: [source] }];\n });\n}\n\nfunction mergeNested(\n left: Readonly>,\n right: Readonly>,\n): Readonly> {\n const output: Record = { ...left };\n for (const [key, value] of Object.entries(right)) {\n const existing = output[key];\n output[key] =\n typeof existing === \"object\" &&\n existing !== null &&\n !Array.isArray(existing) &&\n typeof value === \"object\" &&\n value !== null &&\n !Array.isArray(value)\n ? mergeNested(existing as Record, value as Record)\n : value;\n }\n return output;\n}\n"}]}