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Object.setPrototypeOf(t, GeneratorFunctionPrototype) : (t.__proto__ = GeneratorFunctionPrototype, define(t, u, \"GeneratorFunction\")), t.prototype = Object.create(g), t;\n }, e.awrap = function (t) {\n return {\n __await: t\n };\n }, defineIteratorMethods(AsyncIterator.prototype), define(AsyncIterator.prototype, c, function () {\n return this;\n }), e.AsyncIterator = AsyncIterator, e.async = function (t, r, n, o, i) {\n void 0 === i && (i = Promise);\n var a = new AsyncIterator(wrap(t, r, n, o), i);\n return e.isGeneratorFunction(r) ? a : a.next().then(function (t) {\n return t.done ? t.value : a.next();\n });\n }, defineIteratorMethods(g), define(g, u, \"Generator\"), define(g, a, function () {\n return this;\n }), define(g, \"toString\", function () {\n return \"[object Generator]\";\n }), e.keys = function (t) {\n var e = Object(t),\n r = [];\n for (var n in e) r.push(n);\n return r.reverse(), function next() {\n for (; r.length;) {\n var t = r.pop();\n if (t in e) return next.value = t, next.done = !1, next;\n }\n return next.done = !0, next;\n };\n }, e.values = values, Context.prototype = {\n constructor: Context,\n reset: function reset(e) {\n if (this.prev = 0, this.next = 0, this.sent = this._sent = t, this.done = !1, this.delegate = null, this.method = \"next\", this.arg = t, this.tryEntries.forEach(resetTryEntry), !e) for (var r in this) \"t\" === r.charAt(0) && n.call(this, r) && !isNaN(+r.slice(1)) && (this[r] = t);\n },\n stop: function stop() {\n this.done = !0;\n var t = this.tryEntries[0].completion;\n if (\"throw\" === t.type) throw t.arg;\n return this.rval;\n },\n dispatchException: function dispatchException(e) {\n if (this.done) throw e;\n var r = this;\n function handle(n, o) {\n return a.type = \"throw\", a.arg = e, r.next = n, o && (r.method = \"next\", r.arg = t), !!o;\n }\n for (var o = this.tryEntries.length - 1; o >= 0; --o) {\n var i = this.tryEntries[o],\n a = i.completion;\n if (\"root\" === i.tryLoc) return handle(\"end\");\n if (i.tryLoc <= this.prev) {\n var c = n.call(i, \"catchLoc\"),\n u = n.call(i, \"finallyLoc\");\n if (c && u) {\n if (this.prev < i.catchLoc) return handle(i.catchLoc, !0);\n if (this.prev < i.finallyLoc) return handle(i.finallyLoc);\n } else if (c) {\n if (this.prev < i.catchLoc) return handle(i.catchLoc, !0);\n } else {\n if (!u) throw new Error(\"try statement without catch or finally\");\n if (this.prev < i.finallyLoc) return handle(i.finallyLoc);\n }\n }\n }\n },\n abrupt: function abrupt(t, e) {\n for (var r = this.tryEntries.length - 1; r >= 0; --r) {\n var o = this.tryEntries[r];\n if (o.tryLoc <= this.prev && n.call(o, \"finallyLoc\") && this.prev < o.finallyLoc) {\n var i = o;\n break;\n }\n }\n i && (\"break\" === t || \"continue\" === t) && i.tryLoc <= e && e <= i.finallyLoc && (i = null);\n var a = i ? i.completion : {};\n return a.type = t, a.arg = e, i ? (this.method = \"next\", this.next = i.finallyLoc, y) : this.complete(a);\n },\n complete: function complete(t, e) {\n if (\"throw\" === t.type) throw t.arg;\n return \"break\" === t.type || \"continue\" === t.type ? this.next = t.arg : \"return\" === t.type ? (this.rval = this.arg = t.arg, this.method = \"return\", this.next = \"end\") : \"normal\" === t.type && e && (this.next = e), y;\n },\n finish: function finish(t) {\n for (var e = this.tryEntries.length - 1; e >= 0; --e) {\n var r = this.tryEntries[e];\n if (r.finallyLoc === t) return this.complete(r.completion, r.afterLoc), resetTryEntry(r), y;\n }\n },\n \"catch\": function _catch(t) {\n for (var e = this.tryEntries.length - 1; e >= 0; --e) {\n var r = this.tryEntries[e];\n if (r.tryLoc === t) {\n var n = r.completion;\n if (\"throw\" === n.type) {\n var o = n.arg;\n resetTryEntry(r);\n }\n return o;\n }\n }\n throw new Error(\"illegal catch attempt\");\n },\n delegateYield: function delegateYield(e, r, n) {\n return this.delegate = {\n iterator: values(e),\n resultName: r,\n nextLoc: n\n }, \"next\" === this.method && (this.arg = t), y;\n }\n }, e;\n}","export default function _arrayLikeToArray(arr, len) {\n if (len == null || len > arr.length) len = arr.length;\n for (var i = 0, arr2 = new Array(len); i < len; i++) arr2[i] = arr[i];\n return arr2;\n}","export default function _iterableToArray(iter) {\n if (typeof Symbol !== \"undefined\" && iter[Symbol.iterator] != null || iter[\"@@iterator\"] != null) return Array.from(iter);\n}","import arrayLikeToArray from \"./arrayLikeToArray.js\";\nexport default function _unsupportedIterableToArray(o, minLen) {\n if (!o) return;\n if (typeof o === \"string\") return arrayLikeToArray(o, minLen);\n var n = Object.prototype.toString.call(o).slice(8, -1);\n if (n === \"Object\" && o.constructor) n = o.constructor.name;\n if (n === \"Map\" || n === \"Set\") return Array.from(o);\n if (n === \"Arguments\" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return arrayLikeToArray(o, minLen);\n}","import arrayWithoutHoles from \"./arrayWithoutHoles.js\";\nimport iterableToArray from \"./iterableToArray.js\";\nimport unsupportedIterableToArray from \"./unsupportedIterableToArray.js\";\nimport nonIterableSpread from \"./nonIterableSpread.js\";\nexport default function _toConsumableArray(arr) {\n return arrayWithoutHoles(arr) || iterableToArray(arr) || unsupportedIterableToArray(arr) || nonIterableSpread();\n}","import arrayLikeToArray from \"./arrayLikeToArray.js\";\nexport default function _arrayWithoutHoles(arr) {\n if (Array.isArray(arr)) return arrayLikeToArray(arr);\n}","export default function _nonIterableSpread() {\n throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}","function asyncGeneratorStep(gen, resolve, reject, _next, _throw, key, arg) {\n try {\n var info = gen[key](arg);\n var value = info.value;\n } catch (error) {\n reject(error);\n return;\n }\n if (info.done) {\n resolve(value);\n } else {\n Promise.resolve(value).then(_next, _throw);\n }\n}\nexport default function _asyncToGenerator(fn) {\n return function () {\n var self = this,\n args = arguments;\n return new Promise(function (resolve, reject) {\n var gen = fn.apply(self, args);\n function _next(value) {\n asyncGeneratorStep(gen, resolve, reject, _next, _throw, \"next\", value);\n }\n function _throw(err) {\n asyncGeneratorStep(gen, resolve, reject, _next, _throw, \"throw\", err);\n }\n _next(undefined);\n });\n };\n}","export default function _arrayWithHoles(arr) {\n if (Array.isArray(arr)) return arr;\n}","export default function _nonIterableRest() {\n throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}","import arrayWithHoles from \"./arrayWithHoles.js\";\nimport iterableToArrayLimit from \"./iterableToArrayLimit.js\";\nimport unsupportedIterableToArray from \"./unsupportedIterableToArray.js\";\nimport nonIterableRest from \"./nonIterableRest.js\";\nexport default function _slicedToArray(arr, i) {\n return arrayWithHoles(arr) || iterableToArrayLimit(arr, i) || unsupportedIterableToArray(arr, i) || nonIterableRest();\n}","export default function _iterableToArrayLimit(r, l) {\n var t = null == r ? null : \"undefined\" != typeof Symbol && r[Symbol.iterator] || r[\"@@iterator\"];\n if (null != t) {\n var e,\n n,\n i,\n u,\n a = [],\n f = !0,\n o = !1;\n try {\n if (i = (t = t.call(r)).next, 0 === l) {\n if (Object(t) !== t) return;\n f = !1;\n } else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0);\n } catch (r) {\n o = !0, n = r;\n } finally {\n try {\n if (!f && null != t[\"return\"] && (u = t[\"return\"](), Object(u) !== u)) return;\n } finally {\n if (o) throw n;\n }\n }\n return a;\n }\n}","import objectWithoutPropertiesLoose from \"./objectWithoutPropertiesLoose.js\";\nexport default function _objectWithoutProperties(source, excluded) {\n if (source == null) return {};\n var target = objectWithoutPropertiesLoose(source, excluded);\n var key, i;\n if (Object.getOwnPropertySymbols) {\n var sourceSymbolKeys = Object.getOwnPropertySymbols(source);\n for (i = 0; i < sourceSymbolKeys.length; i++) {\n key = sourceSymbolKeys[i];\n if (excluded.indexOf(key) >= 0) continue;\n if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue;\n target[key] = source[key];\n }\n }\n return target;\n}","export default function _objectWithoutPropertiesLoose(source, excluded) {\n if (source == null) return {};\n var target = {};\n var sourceKeys = Object.keys(source);\n var key, i;\n for (i = 0; i < sourceKeys.length; i++) {\n key = sourceKeys[i];\n if (excluded.indexOf(key) >= 0) continue;\n target[key] = source[key];\n }\n return target;\n}","import _typeof from \"./typeof.js\";\nimport toPrimitive from \"./toPrimitive.js\";\nexport default function _toPropertyKey(arg) {\n var key = toPrimitive(arg, \"string\");\n return _typeof(key) === \"symbol\" ? key : String(key);\n}","import _typeof from \"./typeof.js\";\nexport default function _toPrimitive(input, hint) {\n if (_typeof(input) !== \"object\" || input === null) return input;\n var prim = input[Symbol.toPrimitive];\n if (prim !== undefined) {\n var res = prim.call(input, hint || \"default\");\n if (_typeof(res) !== \"object\") return res;\n throw new TypeError(\"@@toPrimitive must return a primitive value.\");\n }\n return (hint === \"string\" ? String : Number)(input);\n}","import toPropertyKey from \"./toPropertyKey.js\";\nexport default function _defineProperty(obj, key, value) {\n key = toPropertyKey(key);\n if (key in obj) {\n Object.defineProperty(obj, key, {\n value: value,\n enumerable: true,\n configurable: true,\n writable: true\n });\n } else {\n obj[key] = value;\n }\n return obj;\n}","import defineProperty from \"./defineProperty.js\";\nfunction ownKeys(e, r) {\n var t = Object.keys(e);\n if (Object.getOwnPropertySymbols) {\n var o = Object.getOwnPropertySymbols(e);\n r && (o = o.filter(function (r) {\n return Object.getOwnPropertyDescriptor(e, r).enumerable;\n })), t.push.apply(t, o);\n }\n return t;\n}\nexport default function _objectSpread2(e) {\n for (var r = 1; r < arguments.length; r++) {\n var t = null != arguments[r] ? arguments[r] : {};\n r % 2 ? ownKeys(Object(t), !0).forEach(function (r) {\n defineProperty(e, r, t[r]);\n }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) {\n Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r));\n });\n }\n return e;\n}","function u(r,n,...a){if(r in n){let e=n[r];return typeof e==\"function\"?e(...a):e}let t=new Error(`Tried to handle \"${r}\" but there is no handler defined. Only defined handlers are: ${Object.keys(n).map(e=>`\"${e}\"`).join(\", \")}.`);throw Error.captureStackTrace&&Error.captureStackTrace(t,u),t}export{u as match};\n","import unsupportedIterableToArray from \"./unsupportedIterableToArray.js\";\nexport default function _createForOfIteratorHelper(o, allowArrayLike) {\n var it = typeof Symbol !== \"undefined\" && o[Symbol.iterator] || o[\"@@iterator\"];\n if (!it) {\n if (Array.isArray(o) || (it = unsupportedIterableToArray(o)) || allowArrayLike && o && typeof o.length === \"number\") {\n if (it) o = it;\n var i = 0;\n var F = function F() {};\n return {\n s: F,\n n: function n() {\n if (i >= o.length) return {\n done: true\n };\n return {\n done: false,\n value: o[i++]\n };\n },\n e: function e(_e) {\n throw _e;\n },\n f: F\n };\n }\n throw new TypeError(\"Invalid attempt to iterate non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n }\n var normalCompletion = true,\n didErr = false,\n err;\n return {\n s: function s() {\n it = it.call(o);\n },\n n: function n() {\n var step = it.next();\n normalCompletion = step.done;\n return step;\n },\n e: function e(_e2) {\n didErr = true;\n err = _e2;\n },\n f: function f() {\n try {\n if (!normalCompletion && it[\"return\"] != null) it[\"return\"]();\n } finally {\n if (didErr) throw err;\n }\n }\n };\n}","function t(...r){return Array.from(new Set(r.flatMap(n=>typeof n==\"string\"?n.split(\" \"):[]))).filter(Boolean).join(\" \")}export{t as classNames};\n","import{Fragment as T,cloneElement as x,createElement as E,forwardRef as b,isValidElement as h}from\"react\";import{classNames as F}from'./class-names.js';import{match as P}from'./match.js';var S=(a=>(a[a.None=0]=\"None\",a[a.RenderStrategy=1]=\"RenderStrategy\",a[a.Static=2]=\"Static\",a))(S||{}),j=(e=>(e[e.Unmount=0]=\"Unmount\",e[e.Hidden=1]=\"Hidden\",e))(j||{});function X({ourProps:r,theirProps:t,slot:e,defaultTag:a,features:s,visible:n=!0,name:f}){let o=N(t,r);if(n)return c(o,e,a,f);let u=s!=null?s:0;if(u&2){let{static:l=!1,...p}=o;if(l)return c(p,e,a,f)}if(u&1){let{unmount:l=!0,...p}=o;return P(l?0:1,{[0](){return null},[1](){return c({...p,hidden:!0,style:{display:\"none\"}},e,a,f)}})}return c(o,e,a,f)}function c(r,t={},e,a){let{as:s=e,children:n,refName:f=\"ref\",...o}=g(r,[\"unmount\",\"static\"]),u=r.ref!==void 0?{[f]:r.ref}:{},l=typeof n==\"function\"?n(t):n;\"className\"in o&&o.className&&typeof o.className==\"function\"&&(o.className=o.className(t));let p={};if(t){let i=!1,m=[];for(let[y,d]of Object.entries(t))typeof d==\"boolean\"&&(i=!0),d===!0&&m.push(y);i&&(p[\"data-headlessui-state\"]=m.join(\" \"))}if(s===T&&Object.keys(R(o)).length>0){if(!h(l)||Array.isArray(l)&&l.length>1)throw new Error(['Passing props on \"Fragment\"!',\"\",`The current component <${a} /> is rendering a \"Fragment\".`,\"However we need to passthrough the following props:\",Object.keys(o).map(d=>` - ${d}`).join(`\n`),\"\",\"You can apply a few solutions:\",['Add an `as=\"...\"` prop, to ensure that we render an actual element instead of a \"Fragment\".',\"Render a single element as the child so that we can forward the props onto that element.\"].map(d=>` - ${d}`).join(`\n`)].join(`\n`));let i=l.props,m=typeof(i==null?void 0:i.className)==\"function\"?(...d)=>F(i==null?void 0:i.className(...d),o.className):F(i==null?void 0:i.className,o.className),y=m?{className:m}:{};return x(l,Object.assign({},N(l.props,R(g(o,[\"ref\"]))),p,u,w(l.ref,u.ref),y))}return E(s,Object.assign({},g(o,[\"ref\"]),s!==T&&u,s!==T&&p),l)}function w(...r){return{ref:r.every(t=>t==null)?void 0:t=>{for(let e of r)e!=null&&(typeof e==\"function\"?e(t):e.current=t)}}}function N(...r){var a;if(r.length===0)return{};if(r.length===1)return r[0];let t={},e={};for(let s of r)for(let n in s)n.startsWith(\"on\")&&typeof s[n]==\"function\"?((a=e[n])!=null||(e[n]=[]),e[n].push(s[n])):t[n]=s[n];if(t.disabled||t[\"aria-disabled\"])return Object.assign(t,Object.fromEntries(Object.keys(e).map(s=>[s,void 0])));for(let s in e)Object.assign(t,{[s](n,...f){let o=e[s];for(let u of o){if((n instanceof Event||(n==null?void 0:n.nativeEvent)instanceof Event)&&n.defaultPrevented)return;u(n,...f)}}});return t}function D(r){var t;return Object.assign(b(r),{displayName:(t=r.displayName)!=null?t:r.name})}function R(r){let t=Object.assign({},r);for(let e in t)t[e]===void 0&&delete t[e];return t}function g(r,t=[]){let e=Object.assign({},r);for(let a of t)a in e&&delete e[a];return e}export{S as Features,j as RenderStrategy,R as compact,D as forwardRefWithAs,X as render};\n","export default function _classCallCheck(instance, Constructor) {\n if (!(instance instanceof Constructor)) {\n throw new TypeError(\"Cannot call a class as a function\");\n }\n}","import toPropertyKey from \"./toPropertyKey.js\";\nfunction _defineProperties(target, props) {\n for (var i = 0; i < props.length; i++) {\n var descriptor = props[i];\n descriptor.enumerable = descriptor.enumerable || false;\n descriptor.configurable = true;\n if (\"value\" in descriptor) descriptor.writable = true;\n Object.defineProperty(target, toPropertyKey(descriptor.key), descriptor);\n }\n}\nexport default function _createClass(Constructor, protoProps, staticProps) {\n if (protoProps) _defineProperties(Constructor.prototype, protoProps);\n if (staticProps) _defineProperties(Constructor, staticProps);\n Object.defineProperty(Constructor, \"prototype\", {\n writable: false\n });\n return Constructor;\n}","var i=Object.defineProperty;var d=(t,e,n)=>e in t?i(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n;var r=(t,e,n)=>(d(t,typeof e!=\"symbol\"?e+\"\":e,n),n);class o{constructor(){r(this,\"current\",this.detect());r(this,\"handoffState\",\"pending\");r(this,\"currentId\",0)}set(e){this.current!==e&&(this.handoffState=\"pending\",this.currentId=0,this.current=e)}reset(){this.set(this.detect())}nextId(){return++this.currentId}get isServer(){return this.current===\"server\"}get isClient(){return this.current===\"client\"}detect(){return typeof window==\"undefined\"||typeof document==\"undefined\"?\"server\":\"client\"}handoff(){this.handoffState===\"pending\"&&(this.handoffState=\"complete\")}get isHandoffComplete(){return this.handoffState===\"complete\"}}let s=new o;export{s as env};\n","import{useLayoutEffect as t,useEffect as c}from\"react\";import{env as i}from'../utils/env.js';let l=(e,f)=>{i.isServer?c(e,f):t(e,f)};export{l as useIsoMorphicEffect};\n","import{useRef as t}from\"react\";import{useIsoMorphicEffect as o}from'./use-iso-morphic-effect.js';function s(e){let r=t(e);return o(()=>{r.current=e},[e]),r}export{s as useLatestValue};\n","import a from\"react\";import{useLatestValue as n}from'./use-latest-value.js';let o=function(t){let e=n(t);return a.useCallback((...r)=>e.current(...r),[e])};export{o as useEvent};\n","var o;import t from\"react\";import{useIsoMorphicEffect as d}from'./use-iso-morphic-effect.js';import{useServerHandoffComplete as f}from'./use-server-handoff-complete.js';import{env as r}from'../utils/env.js';let I=(o=t.useId)!=null?o:function(){let n=f(),[e,u]=t.useState(n?()=>r.nextId():null);return d(()=>{e===null&&u(r.nextId())},[e]),e!=null?\"\"+e:void 0};export{I as useId};\n","import{useRef as l,useEffect as i}from\"react\";import{useEvent as r}from'./use-event.js';let u=Symbol();function T(t,n=!0){return Object.assign(t,{[u]:n})}function y(...t){let n=l(t);i(()=>{n.current=t},[t]);let c=r(e=>{for(let o of n.current)o!=null&&(typeof o==\"function\"?o(e):o.current=e)});return t.every(e=>e==null||(e==null?void 0:e[u]))?void 0:c}export{T as optionalRef,y as useSyncRefs};\n","import*as t from\"react\";import{env as f}from'../utils/env.js';function s(){let r=typeof document==\"undefined\";return\"useSyncExternalStore\"in t?(o=>o.useSyncExternalStore)(t)(()=>()=>{},()=>!1,()=>!r):!1}function l(){let r=s(),[e,n]=t.useState(f.isHandoffComplete);return e&&f.isHandoffComplete===!1&&n(!1),t.useEffect(()=>{e!==!0&&n(!0)},[e]),t.useEffect(()=>f.handoff(),[]),r?!1:e}export{l as useServerHandoffComplete};\n","var o=(r=>(r.Space=\" \",r.Enter=\"Enter\",r.Escape=\"Escape\",r.Backspace=\"Backspace\",r.Delete=\"Delete\",r.ArrowLeft=\"ArrowLeft\",r.ArrowUp=\"ArrowUp\",r.ArrowRight=\"ArrowRight\",r.ArrowDown=\"ArrowDown\",r.Home=\"Home\",r.End=\"End\",r.PageUp=\"PageUp\",r.PageDown=\"PageDown\",r.Tab=\"Tab\",r))(o||{});export{o as Keys};\n","function r(n){let e=n.parentElement,l=null;for(;e&&!(e instanceof HTMLFieldSetElement);)e instanceof HTMLLegendElement&&(l=e),e=e.parentElement;let t=(e==null?void 0:e.getAttribute(\"disabled\"))===\"\";return t&&i(l)?!1:t}function i(n){if(!n)return!1;let e=n.previousElementSibling;for(;e!==null;){if(e instanceof HTMLLegendElement)return!1;e=e.previousElementSibling}return!0}export{r as isDisabledReactIssue7711};\n","import l,{createContext as t,useContext as p}from\"react\";let n=t(null);n.displayName=\"OpenClosedContext\";var d=(e=>(e[e.Open=1]=\"Open\",e[e.Closed=2]=\"Closed\",e[e.Closing=4]=\"Closing\",e[e.Opening=8]=\"Opening\",e))(d||{});function C(){return p(n)}function c({value:o,children:r}){return l.createElement(n.Provider,{value:o},r)}export{c as OpenClosedProvider,d as State,C as useOpenClosed};\n","var t;import r from\"react\";let a=(t=r.startTransition)!=null?t:function(i){i()};export{a as startTransition};\n","import{useState as o}from\"react\";import{useIsoMorphicEffect as r}from'./use-iso-morphic-effect.js';function i(t){var n;if(t.type)return t.type;let e=(n=t.as)!=null?n:\"button\";if(typeof e==\"string\"&&e.toLowerCase()===\"button\")return\"button\"}function s(t,e){let[n,u]=o(()=>i(t));return r(()=>{u(i(t))},[t.type,t.as]),r(()=>{n||e.current&&e.current instanceof HTMLButtonElement&&!e.current.hasAttribute(\"type\")&&u(\"button\")},[n,e]),n}export{s as useResolveButtonType};\n","import{env as n}from'./env.js';function e(r){return n.isServer?null:r instanceof Node?r.ownerDocument:r!=null&&r.hasOwnProperty(\"current\")&&r.current instanceof Node?r.current.ownerDocument:document}export{e as getOwnerDocument};\n","import E,{Fragment as F,createContext as C,useContext as I,useEffect as h,useMemo as S,useReducer as N,useRef as g}from\"react\";import{match as x}from'../../utils/match.js';import{forwardRefWithAs as L,render as O,Features as U}from'../../utils/render.js';import{optionalRef as K,useSyncRefs as B}from'../../hooks/use-sync-refs.js';import{useId as _}from'../../hooks/use-id.js';import{Keys as m}from'../keyboard.js';import{isDisabledReactIssue7711 as G}from'../../utils/bugs.js';import{OpenClosedProvider as j,State as R,useOpenClosed as W}from'../../internal/open-closed.js';import{useResolveButtonType as $}from'../../hooks/use-resolve-button-type.js';import{getOwnerDocument as J}from'../../utils/owner.js';import{useEvent as A}from'../../hooks/use-event.js';import{startTransition as X}from'../../utils/start-transition.js';var q=(o=>(o[o.Open=0]=\"Open\",o[o.Closed=1]=\"Closed\",o))(q||{}),z=(t=>(t[t.ToggleDisclosure=0]=\"ToggleDisclosure\",t[t.CloseDisclosure=1]=\"CloseDisclosure\",t[t.SetButtonId=2]=\"SetButtonId\",t[t.SetPanelId=3]=\"SetPanelId\",t[t.LinkPanel=4]=\"LinkPanel\",t[t.UnlinkPanel=5]=\"UnlinkPanel\",t))(z||{});let Q={[0]:e=>({...e,disclosureState:x(e.disclosureState,{[0]:1,[1]:0})}),[1]:e=>e.disclosureState===1?e:{...e,disclosureState:1},[4](e){return e.linkedPanel===!0?e:{...e,linkedPanel:!0}},[5](e){return e.linkedPanel===!1?e:{...e,linkedPanel:!1}},[2](e,n){return e.buttonId===n.buttonId?e:{...e,buttonId:n.buttonId}},[3](e,n){return e.panelId===n.panelId?e:{...e,panelId:n.panelId}}},k=C(null);k.displayName=\"DisclosureContext\";function M(e){let n=I(k);if(n===null){let o=new Error(`<${e} /> is missing a parent component.`);throw Error.captureStackTrace&&Error.captureStackTrace(o,M),o}return n}let v=C(null);v.displayName=\"DisclosureAPIContext\";function w(e){let n=I(v);if(n===null){let o=new Error(`<${e} /> is missing a parent component.`);throw Error.captureStackTrace&&Error.captureStackTrace(o,w),o}return n}let H=C(null);H.displayName=\"DisclosurePanelContext\";function V(){return I(H)}function Y(e,n){return x(n.type,Q,e,n)}let Z=F;function ee(e,n){let{defaultOpen:o=!1,...u}=e,T=g(null),l=B(n,K(a=>{T.current=a},e.as===void 0||e.as===F)),t=g(null),f=g(null),s=N(Y,{disclosureState:o?0:1,linkedPanel:!1,buttonRef:f,panelRef:t,buttonId:null,panelId:null}),[{disclosureState:i,buttonId:c},D]=s,d=A(a=>{D({type:1});let r=J(T);if(!r||!c)return;let p=(()=>a?a instanceof HTMLElement?a:a.current instanceof HTMLElement?a.current:r.getElementById(c):r.getElementById(c))();p==null||p.focus()}),P=S(()=>({close:d}),[d]),b=S(()=>({open:i===0,close:d}),[i,d]),y={ref:l};return E.createElement(k.Provider,{value:s},E.createElement(v.Provider,{value:P},E.createElement(j,{value:x(i,{[0]:R.Open,[1]:R.Closed})},O({ourProps:y,theirProps:u,slot:b,defaultTag:Z,name:\"Disclosure\"}))))}let te=\"button\";function ne(e,n){let o=_(),{id:u=`headlessui-disclosure-button-${o}`,...T}=e,[l,t]=M(\"Disclosure.Button\"),f=V(),s=f===null?!1:f===l.panelId,i=g(null),c=B(i,n,s?null:l.buttonRef);h(()=>{if(!s)return t({type:2,buttonId:u}),()=>{t({type:2,buttonId:null})}},[u,t,s]);let D=A(r=>{var p;if(s){if(l.disclosureState===1)return;switch(r.key){case m.Space:case m.Enter:r.preventDefault(),r.stopPropagation(),t({type:0}),(p=l.buttonRef.current)==null||p.focus();break}}else switch(r.key){case m.Space:case m.Enter:r.preventDefault(),r.stopPropagation(),t({type:0});break}}),d=A(r=>{switch(r.key){case m.Space:r.preventDefault();break}}),P=A(r=>{var p;G(r.currentTarget)||e.disabled||(s?(t({type:0}),(p=l.buttonRef.current)==null||p.focus()):t({type:0}))}),b=S(()=>({open:l.disclosureState===0}),[l]),y=$(e,i),a=s?{ref:c,type:y,onKeyDown:D,onClick:P}:{ref:c,id:u,type:y,\"aria-expanded\":l.disclosureState===0,\"aria-controls\":l.linkedPanel?l.panelId:void 0,onKeyDown:D,onKeyUp:d,onClick:P};return O({ourProps:a,theirProps:T,slot:b,defaultTag:te,name:\"Disclosure.Button\"})}let le=\"div\",oe=U.RenderStrategy|U.Static;function re(e,n){let o=_(),{id:u=`headlessui-disclosure-panel-${o}`,...T}=e,[l,t]=M(\"Disclosure.Panel\"),{close:f}=w(\"Disclosure.Panel\"),s=B(n,l.panelRef,P=>{X(()=>t({type:P?4:5}))});h(()=>(t({type:3,panelId:u}),()=>{t({type:3,panelId:null})}),[u,t]);let i=W(),c=(()=>i!==null?(i&R.Open)===R.Open:l.disclosureState===0)(),D=S(()=>({open:l.disclosureState===0,close:f}),[l,f]),d={ref:s,id:u};return E.createElement(H.Provider,{value:l.panelId},O({ourProps:d,theirProps:T,slot:D,defaultTag:le,features:oe,visible:c,name:\"Disclosure.Panel\"}))}let se=L(ee),ue=L(ne),ie=L(re),ve=Object.assign(se,{Button:ue,Panel:ie});export{ve as Disclosure};\n","export default function _assertThisInitialized(self) {\n if (self === void 0) {\n throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");\n }\n return self;\n}","export default function _getPrototypeOf(o) {\n _getPrototypeOf = Object.setPrototypeOf ? Object.getPrototypeOf.bind() : function _getPrototypeOf(o) {\n return o.__proto__ || Object.getPrototypeOf(o);\n };\n return _getPrototypeOf(o);\n}","import superPropBase from \"./superPropBase.js\";\nexport default function _get() {\n if (typeof Reflect !== \"undefined\" && Reflect.get) {\n _get = Reflect.get.bind();\n } else {\n _get = function _get(target, property, receiver) {\n var base = superPropBase(target, property);\n if (!base) return;\n var desc = Object.getOwnPropertyDescriptor(base, property);\n if (desc.get) {\n return desc.get.call(arguments.length < 3 ? target : receiver);\n }\n return desc.value;\n };\n }\n return _get.apply(this, arguments);\n}","import getPrototypeOf from \"./getPrototypeOf.js\";\nexport default function _superPropBase(object, property) {\n while (!Object.prototype.hasOwnProperty.call(object, property)) {\n object = getPrototypeOf(object);\n if (object === null) break;\n }\n return object;\n}","export default function _setPrototypeOf(o, p) {\n _setPrototypeOf = Object.setPrototypeOf ? Object.setPrototypeOf.bind() : function _setPrototypeOf(o, p) {\n o.__proto__ = p;\n return o;\n };\n return _setPrototypeOf(o, p);\n}","import setPrototypeOf from \"./setPrototypeOf.js\";\nexport default function _inherits(subClass, superClass) {\n if (typeof superClass !== \"function\" && superClass !== null) {\n throw new TypeError(\"Super expression must either be null or a function\");\n }\n subClass.prototype = Object.create(superClass && superClass.prototype, {\n constructor: {\n value: subClass,\n writable: true,\n configurable: true\n }\n });\n Object.defineProperty(subClass, \"prototype\", {\n writable: false\n });\n if (superClass) setPrototypeOf(subClass, superClass);\n}","export default function _isNativeReflectConstruct() {\n if (typeof Reflect === \"undefined\" || !Reflect.construct) return false;\n if (Reflect.construct.sham) return false;\n if (typeof Proxy === \"function\") return true;\n try {\n Boolean.prototype.valueOf.call(Reflect.construct(Boolean, [], function () {}));\n return true;\n } catch (e) {\n return false;\n }\n}","import _typeof from \"./typeof.js\";\nimport assertThisInitialized from \"./assertThisInitialized.js\";\nexport default function _possibleConstructorReturn(self, call) {\n if (call && (_typeof(call) === \"object\" || typeof call === \"function\")) {\n return call;\n } else if (call !== void 0) {\n throw new TypeError(\"Derived constructors may only return object or undefined\");\n }\n return assertThisInitialized(self);\n}","import getPrototypeOf from \"./getPrototypeOf.js\";\nimport isNativeReflectConstruct from \"./isNativeReflectConstruct.js\";\nimport possibleConstructorReturn from \"./possibleConstructorReturn.js\";\nexport default function _createSuper(Derived) {\n var hasNativeReflectConstruct = isNativeReflectConstruct();\n return function _createSuperInternal() {\n var Super = getPrototypeOf(Derived),\n result;\n if (hasNativeReflectConstruct) {\n var NewTarget = getPrototypeOf(this).constructor;\n result = Reflect.construct(Super, arguments, NewTarget);\n } else {\n result = Super.apply(this, arguments);\n }\n return possibleConstructorReturn(this, result);\n };\n}","import setPrototypeOf from \"./setPrototypeOf.js\";\nimport isNativeReflectConstruct from \"./isNativeReflectConstruct.js\";\nexport default function _construct(Parent, args, Class) {\n if (isNativeReflectConstruct()) {\n _construct = Reflect.construct.bind();\n } else {\n _construct = function _construct(Parent, args, Class) {\n var a = [null];\n a.push.apply(a, args);\n var Constructor = Function.bind.apply(Parent, a);\n var instance = new Constructor();\n if (Class) setPrototypeOf(instance, Class.prototype);\n return instance;\n };\n }\n return _construct.apply(null, arguments);\n}","import getPrototypeOf from \"./getPrototypeOf.js\";\nimport setPrototypeOf from \"./setPrototypeOf.js\";\nimport isNativeFunction from \"./isNativeFunction.js\";\nimport construct from \"./construct.js\";\nexport default function _wrapNativeSuper(Class) {\n var _cache = typeof Map === \"function\" ? new Map() : undefined;\n _wrapNativeSuper = function _wrapNativeSuper(Class) {\n if (Class === null || !isNativeFunction(Class)) return Class;\n if (typeof Class !== \"function\") {\n throw new TypeError(\"Super expression must either be null or a function\");\n }\n if (typeof _cache !== \"undefined\") {\n if (_cache.has(Class)) return _cache.get(Class);\n _cache.set(Class, Wrapper);\n }\n function Wrapper() {\n return construct(Class, arguments, getPrototypeOf(this).constructor);\n }\n Wrapper.prototype = Object.create(Class.prototype, {\n constructor: {\n value: Wrapper,\n enumerable: false,\n writable: true,\n configurable: true\n }\n });\n return setPrototypeOf(Wrapper, Class);\n };\n return _wrapNativeSuper(Class);\n}","export default function _isNativeFunction(fn) {\n return Function.toString.call(fn).indexOf(\"[native code]\") !== -1;\n}","export default function _asyncIterator(r) {\n var n,\n t,\n o,\n e = 2;\n for (\"undefined\" != typeof Symbol && (t = Symbol.asyncIterator, o = Symbol.iterator); e--;) {\n if (t && null != (n = r[t])) return n.call(r);\n if (o && null != (n = r[o])) return new AsyncFromSyncIterator(n.call(r));\n t = \"@@asyncIterator\", o = \"@@iterator\";\n }\n throw new TypeError(\"Object is not async iterable\");\n}\nfunction AsyncFromSyncIterator(r) {\n function AsyncFromSyncIteratorContinuation(r) {\n if (Object(r) !== r) return Promise.reject(new TypeError(r + \" is not an object.\"));\n var n = r.done;\n return Promise.resolve(r.value).then(function (r) {\n return {\n value: r,\n done: n\n };\n });\n }\n return AsyncFromSyncIterator = function AsyncFromSyncIterator(r) {\n this.s = r, this.n = r.next;\n }, AsyncFromSyncIterator.prototype = {\n s: null,\n n: null,\n next: function next() {\n return AsyncFromSyncIteratorContinuation(this.n.apply(this.s, arguments));\n },\n \"return\": function _return(r) {\n var n = this.s[\"return\"];\n return void 0 === n ? Promise.resolve({\n value: r,\n done: !0\n }) : AsyncFromSyncIteratorContinuation(n.apply(this.s, arguments));\n },\n \"throw\": function _throw(r) {\n var n = this.s[\"return\"];\n return void 0 === n ? Promise.reject(r) : AsyncFromSyncIteratorContinuation(n.apply(this.s, arguments));\n }\n }, new AsyncFromSyncIterator(r);\n}","export default function _OverloadYield(t, e) {\n this.v = t, this.k = e;\n}","import OverloadYield from \"./OverloadYield.js\";\nexport default function _awaitAsyncGenerator(e) {\n return new OverloadYield(e, 0);\n}","import OverloadYield from \"./OverloadYield.js\";\nexport default function AsyncGenerator(e) {\n var r, t;\n function resume(r, t) {\n try {\n var n = e[r](t),\n o = n.value,\n u = o instanceof OverloadYield;\n Promise.resolve(u ? o.v : o).then(function (t) {\n if (u) {\n var i = \"return\" === r ? \"return\" : \"next\";\n if (!o.k || t.done) return resume(i, t);\n t = e[i](t).value;\n }\n settle(n.done ? \"return\" : \"normal\", t);\n }, function (e) {\n resume(\"throw\", e);\n });\n } catch (e) {\n settle(\"throw\", e);\n }\n }\n function settle(e, n) {\n switch (e) {\n case \"return\":\n r.resolve({\n value: n,\n done: !0\n });\n break;\n case \"throw\":\n r.reject(n);\n break;\n default:\n r.resolve({\n value: n,\n done: !1\n });\n }\n (r = r.next) ? resume(r.key, r.arg) : t = null;\n }\n this._invoke = function (e, n) {\n return new Promise(function (o, u) {\n var i = {\n key: e,\n arg: n,\n resolve: o,\n reject: u,\n next: null\n };\n t ? t = t.next = i : (r = t = i, resume(e, n));\n });\n }, \"function\" != typeof e[\"return\"] && (this[\"return\"] = void 0);\n}\nAsyncGenerator.prototype[\"function\" == typeof Symbol && Symbol.asyncIterator || \"@@asyncIterator\"] = function () {\n return this;\n}, AsyncGenerator.prototype.next = function (e) {\n return this._invoke(\"next\", e);\n}, AsyncGenerator.prototype[\"throw\"] = function (e) {\n return this._invoke(\"throw\", e);\n}, AsyncGenerator.prototype[\"return\"] = function (e) {\n return this._invoke(\"return\", e);\n};","import AsyncGenerator from \"./AsyncGenerator.js\";\nexport default function _wrapAsyncGenerator(fn) {\n return function () {\n return new AsyncGenerator(fn.apply(this, arguments));\n };\n}","export const VERSION = '4.4.0'; // x-release-please-version\n","import type { Response } from './_shims/fetch.js';\n\ntype Bytes = string | ArrayBuffer | Uint8Array | Buffer | null | undefined;\n\ntype ServerSentEvent = {\n event: string | null;\n data: string;\n raw: string[];\n};\n\nexport class Stream implements AsyncIterable {\n controller: AbortController;\n\n private response: Response;\n private decoder: SSEDecoder;\n\n constructor(response: Response, controller: AbortController) {\n this.response = response;\n this.controller = controller;\n this.decoder = new SSEDecoder();\n }\n\n private async *iterMessages(): AsyncGenerator {\n if (!this.response.body) {\n this.controller.abort();\n throw new Error(`Attempted to iterate over a response with no body`);\n }\n const lineDecoder = new LineDecoder();\n\n const iter = readableStreamAsyncIterable(this.response.body);\n for await (const chunk of iter) {\n for (const line of lineDecoder.decode(chunk)) {\n const sse = this.decoder.decode(line);\n if (sse) yield sse;\n }\n }\n\n for (const line of lineDecoder.flush()) {\n const sse = this.decoder.decode(line);\n if (sse) yield sse;\n }\n }\n\n async *[Symbol.asyncIterator](): AsyncIterator {\n let done = false;\n try {\n for await (const sse of this.iterMessages()) {\n if (done) continue;\n\n if (sse.data.startsWith('[DONE]')) {\n done = true;\n continue;\n }\n\n if (sse.event === null) {\n try {\n yield JSON.parse(sse.data);\n } catch (e) {\n console.error(`Could not parse message into JSON:`, sse.data);\n console.error(`From chunk:`, sse.raw);\n throw e;\n }\n }\n }\n done = true;\n } catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (e instanceof Error && e.name === 'AbortError') return;\n throw e;\n } finally {\n // If the user `break`s, abort the ongoing request.\n if (!done) this.controller.abort();\n }\n }\n}\n\nclass SSEDecoder {\n private data: string[];\n private event: string | null;\n private chunks: string[];\n\n constructor() {\n this.event = null;\n this.data = [];\n this.chunks = [];\n }\n\n decode(line: string) {\n if (line.endsWith('\\r')) {\n line = line.substring(0, line.length - 1);\n }\n\n if (!line) {\n // empty line and we didn't previously encounter any messages\n if (!this.event && !this.data.length) return null;\n\n const sse: ServerSentEvent = {\n event: this.event,\n data: this.data.join('\\n'),\n raw: this.chunks,\n };\n\n this.event = null;\n this.data = [];\n this.chunks = [];\n\n return sse;\n }\n\n this.chunks.push(line);\n\n if (line.startsWith(':')) {\n return null;\n }\n\n let [fieldname, _, value] = partition(line, ':');\n\n if (value.startsWith(' ')) {\n value = value.substring(1);\n }\n\n if (fieldname === 'event') {\n this.event = value;\n } else if (fieldname === 'data') {\n this.data.push(value);\n }\n\n return null;\n }\n}\n\n/**\n * A re-implementation of httpx's `LineDecoder` in Python that handles incrementally\n * reading lines from text.\n *\n * https://github.com/encode/httpx/blob/920333ea98118e9cf617f246905d7b202510941c/httpx/_decoders.py#L258\n */\nclass LineDecoder {\n // prettier-ignore\n static NEWLINE_CHARS = new Set(['\\n', '\\r', '\\x0b', '\\x0c', '\\x1c', '\\x1d', '\\x1e', '\\x85', '\\u2028', '\\u2029']);\n static NEWLINE_REGEXP = /\\r\\n|[\\n\\r\\x0b\\x0c\\x1c\\x1d\\x1e\\x85\\u2028\\u2029]/g;\n\n buffer: string[];\n trailingCR: boolean;\n textDecoder: any; // TextDecoder found in browsers; not typed to avoid pulling in either \"dom\" or \"node\" types.\n\n constructor() {\n this.buffer = [];\n this.trailingCR = false;\n }\n\n decode(chunk: Bytes): string[] {\n let text = this.decodeText(chunk);\n\n if (this.trailingCR) {\n text = '\\r' + text;\n this.trailingCR = false;\n }\n if (text.endsWith('\\r')) {\n this.trailingCR = true;\n text = text.slice(0, -1);\n }\n\n if (!text) {\n return [];\n }\n\n const trailingNewline = LineDecoder.NEWLINE_CHARS.has(text[text.length - 1] || '');\n let lines = text.split(LineDecoder.NEWLINE_REGEXP);\n\n if (lines.length === 1 && !trailingNewline) {\n this.buffer.push(lines[0]!);\n return [];\n }\n\n if (this.buffer.length > 0) {\n lines = [this.buffer.join('') + lines[0], ...lines.slice(1)];\n this.buffer = [];\n }\n\n if (!trailingNewline) {\n this.buffer = [lines.pop() || ''];\n }\n\n return lines;\n }\n\n decodeText(bytes: Bytes): string {\n if (bytes == null) return '';\n if (typeof bytes === 'string') return bytes;\n\n // Node:\n if (typeof Buffer !== 'undefined') {\n if (bytes instanceof Buffer) {\n return bytes.toString();\n }\n if (bytes instanceof Uint8Array) {\n return Buffer.from(bytes).toString();\n }\n\n throw new Error(\n `Unexpected: received non-Uint8Array (${bytes.constructor.name}) stream chunk in an environment with a global \"Buffer\" defined, which this library assumes to be Node. Please report this error.`,\n );\n }\n\n // Browser\n if (typeof TextDecoder !== 'undefined') {\n if (bytes instanceof Uint8Array || bytes instanceof ArrayBuffer) {\n this.textDecoder ??= new TextDecoder('utf8');\n return this.textDecoder.decode(bytes);\n }\n\n throw new Error(\n `Unexpected: received non-Uint8Array/ArrayBuffer (${\n (bytes as any).constructor.name\n }) in a web platform. Please report this error.`,\n );\n }\n\n throw new Error(\n `Unexpected: neither Buffer nor TextDecoder are available as globals. Please report this error.`,\n );\n }\n\n flush(): string[] {\n if (!this.buffer.length && !this.trailingCR) {\n return [];\n }\n\n const lines = [this.buffer.join('')];\n this.buffer = [];\n this.trailingCR = false;\n return lines;\n }\n}\n\nfunction partition(str: string, delimiter: string): [string, string, string] {\n const index = str.indexOf(delimiter);\n if (index !== -1) {\n return [str.substring(0, index), delimiter, str.substring(index + delimiter.length)];\n }\n\n return [str, '', ''];\n}\n\n/**\n * Most browsers don't yet have async iterable support for ReadableStream,\n * and Node has a very different way of reading bytes from its \"ReadableStream\".\n *\n * This polyfill was pulled from https://github.com/MattiasBuelens/web-streams-polyfill/pull/122#issuecomment-1627354490\n */\nfunction readableStreamAsyncIterable(stream: any): AsyncIterableIterator {\n if (stream[Symbol.asyncIterator]) return stream;\n\n const reader = stream.getReader();\n return {\n async next() {\n try {\n const result = await reader.read();\n if (result?.done) reader.releaseLock(); // release lock when stream becomes closed\n return result;\n } catch (e) {\n reader.releaseLock(); // release lock when stream becomes errored\n throw e;\n }\n },\n async return() {\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n return { done: true, value: undefined };\n },\n [Symbol.asyncIterator]() {\n return this;\n },\n };\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport { castToError, Headers } from './core';\n\nexport class APIError extends Error {\n readonly status: number | undefined;\n readonly headers: Headers | undefined;\n readonly error: Object | undefined;\n\n readonly code: string | null | undefined;\n readonly param: string | null | undefined;\n readonly type: string | undefined;\n\n constructor(\n status: number | undefined,\n error: Object | undefined,\n message: string | undefined,\n headers: Headers | undefined,\n ) {\n super(APIError.makeMessage(error, message));\n this.status = status;\n this.headers = headers;\n\n const data = error as Record;\n this.error = data;\n this.code = data?.['code'];\n this.param = data?.['param'];\n this.type = data?.['type'];\n }\n\n private static makeMessage(error: any, message: string | undefined) {\n return (\n error?.message ?\n typeof error.message === 'string' ? error.message\n : JSON.stringify(error.message)\n : error ? JSON.stringify(error)\n : message || 'Unknown error occurred'\n );\n }\n\n static generate(\n status: number | undefined,\n errorResponse: Object | undefined,\n message: string | undefined,\n headers: Headers | undefined,\n ) {\n if (!status) {\n return new APIConnectionError({ cause: castToError(errorResponse) });\n }\n\n const error = (errorResponse as Record)?.['error'];\n\n if (status === 400) {\n return new BadRequestError(status, error, message, headers);\n }\n\n if (status === 401) {\n return new AuthenticationError(status, error, message, headers);\n }\n\n if (status === 403) {\n return new PermissionDeniedError(status, error, message, headers);\n }\n\n if (status === 404) {\n return new NotFoundError(status, error, message, headers);\n }\n\n if (status === 409) {\n return new ConflictError(status, error, message, headers);\n }\n\n if (status === 422) {\n return new UnprocessableEntityError(status, error, message, headers);\n }\n\n if (status === 429) {\n return new RateLimitError(status, error, message, headers);\n }\n\n if (status >= 500) {\n return new InternalServerError(status, error, message, headers);\n }\n\n return new APIError(status, error, message, headers);\n }\n}\n\nexport class APIUserAbortError extends APIError {\n override readonly status: undefined = undefined;\n\n constructor({ message }: { message?: string } = {}) {\n super(undefined, undefined, message || 'Request was aborted.', undefined);\n }\n}\n\nexport class APIConnectionError extends APIError {\n override readonly status: undefined = undefined;\n\n constructor({ message, cause }: { message?: string; cause?: Error | undefined }) {\n super(undefined, undefined, message || 'Connection error.', undefined);\n // in some environments the 'cause' property is already declared\n // @ts-ignore\n if (cause) this.cause = cause;\n }\n}\n\nexport class APIConnectionTimeoutError extends APIConnectionError {\n constructor() {\n super({ message: 'Request timed out.' });\n }\n}\n\nexport class BadRequestError extends APIError {\n override readonly status: 400 = 400;\n}\n\nexport class AuthenticationError extends APIError {\n override readonly status: 401 = 401;\n}\n\nexport class PermissionDeniedError extends APIError {\n override readonly status: 403 = 403;\n}\n\nexport class NotFoundError extends APIError {\n override readonly status: 404 = 404;\n}\n\nexport class ConflictError extends APIError {\n override readonly status: 409 = 409;\n}\n\nexport class UnprocessableEntityError extends APIError {\n override readonly status: 422 = 422;\n}\n\nexport class RateLimitError extends APIError {\n override readonly status: 429 = 429;\n}\n\nexport class InternalServerError extends APIError {}\n","/**\n * Disclaimer: modules in _shims aren't intended to be imported by SDK users.\n */\n\n// If we accidentally call fetch with the wrong this binding,\n// in the browser it would throw:\n// TypeError: Failed to execute 'fetch' on 'Window': Illegal invocation\nconst _fetch = fetch.bind(undefined);\nconst _Request = Request;\nconst _Response = Response;\nconst _Headers = Headers;\n\nexport const isPolyfilled = false;\n\nexport { _fetch as fetch, _Request as Request, _Response as Response, _Headers as Headers };\n","/**\n * Disclaimer: modules in _shims aren't intended to be imported by SDK users.\n */\n\nconst _FormData = FormData;\nconst _Blob = Blob;\n\nconst _File =\n typeof File !== 'undefined' ? File : (\n // Bun doesn't implement File yet, so just make a shim that throws a helpful error message\n class File extends Blob {\n constructor() {\n throw new Error(`file uploads aren't supported in this environment yet as 'File' is not defined`);\n }\n }\n );\n\nexport { _FormData as FormData, _File as File, _Blob as Blob };\n\nexport const isPolyfilled = false;\n","/**\n * Disclaimer: modules in _shims aren't intended to be imported by SDK users.\n */\n\nimport { FormData } from './formdata.js';\nimport type { RequestOptions } from '../core';\nimport { MultipartBody } from '../uploads';\n\nexport async function getMultipartRequestOptions>(\n form: FormData,\n opts: RequestOptions,\n): Promise> {\n return { ...opts, body: new MultipartBody(form) as any };\n}\n","/**\n * Disclaimer: modules in _shims aren't intended to be imported by SDK users.\n *\n * This is a stub that gets replaced by fileFromPath.node.js for node environments\n * in the package export map\n */\n\nimport type { FilePropertyBag, File } from './formdata.js';\n\nexport type FileFromPathOptions = Omit;\n\n/**\n * This is a stub for non-node environments that just throws an error.\n * In node environments, this module will be replaced by util/node/fileFromPath by the\n * package import map.\n */\nexport async function fileFromPath(path: string): Promise;\nexport async function fileFromPath(path: string, filename?: string): Promise;\nexport async function fileFromPath(path: string, options?: FileFromPathOptions): Promise;\nexport async function fileFromPath(\n path: string,\n filename?: string,\n options?: FileFromPathOptions,\n): Promise;\nexport async function fileFromPath(): Promise {\n throw new Error(\n 'The `fileFromPath` function is only supported in Node. See the README for more details: https://www.github.com/openai/openai-node#file-uploads',\n );\n}\n","import { type RequestOptions } from './core';\nimport { type Readable } from './_shims/node-readable';\nimport { type BodyInit } from './_shims/fetch.js';\nimport { FormData, File, type Blob, type FilePropertyBag } from './_shims/formdata.js';\nimport { getMultipartRequestOptions } from './_shims/getMultipartRequestOptions';\nimport { fileFromPath } from './_shims/fileFromPath';\nimport { type FsReadStream, isFsReadStream } from './_shims/node-readable';\n\nexport { fileFromPath };\n\ntype BlobLikePart = string | ArrayBuffer | ArrayBufferView | BlobLike | Uint8Array | DataView;\nexport type BlobPart = string | ArrayBuffer | ArrayBufferView | Blob | Uint8Array | DataView;\n\n/**\n * Typically, this is a native \"File\" class.\n *\n * We provide the {@link toFile} utility to convert a variety of objects\n * into the File class.\n *\n * For convenience, you can also pass a fetch Response, or in Node,\n * the result of fs.createReadStream().\n */\nexport type Uploadable = FileLike | ResponseLike | FsReadStream;\n\n/**\n * Intended to match web.Blob, node.Blob, node-fetch.Blob, etc.\n */\nexport interface BlobLike {\n /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/size) */\n readonly size: number;\n /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/type) */\n readonly type: string;\n /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/text) */\n text(): Promise;\n /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/slice) */\n slice(start?: number, end?: number): BlobLike;\n // unfortunately @types/node-fetch@^2.6.4 doesn't type the arrayBuffer method\n}\n\n/**\n * Intended to match web.File, node.File, node-fetch.File, etc.\n */\nexport interface FileLike extends BlobLike {\n /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/File/lastModified) */\n readonly lastModified: number;\n /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/File/name) */\n readonly name: string;\n}\n\n/**\n * Intended to match web.Response, node.Response, node-fetch.Response, etc.\n */\nexport interface ResponseLike {\n url: string;\n blob(): Promise;\n}\n\nexport const isResponseLike = (value: any): value is ResponseLike =>\n value != null &&\n typeof value === 'object' &&\n typeof value.url === 'string' &&\n typeof value.blob === 'function';\n\nexport const isFileLike = (value: any): value is FileLike =>\n value != null &&\n typeof value === 'object' &&\n typeof value.name === 'string' &&\n typeof value.lastModified === 'number' &&\n isBlobLike(value);\n\n/**\n * The BlobLike type omits arrayBuffer() because @types/node-fetch@^2.6.4 lacks it; but this check\n * adds the arrayBuffer() method type because it is available and used at runtime\n */\nexport const isBlobLike = (value: any): value is BlobLike & { arrayBuffer(): Promise } =>\n value != null &&\n typeof value === 'object' &&\n typeof value.size === 'number' &&\n typeof value.type === 'string' &&\n typeof value.text === 'function' &&\n typeof value.slice === 'function' &&\n typeof value.arrayBuffer === 'function';\n\nexport const isUploadable = (value: any): value is Uploadable => {\n return isFileLike(value) || isResponseLike(value) || isFsReadStream(value);\n};\n\nexport type ToFileInput = Uploadable | Exclude | AsyncIterable;\n\n/**\n * Helper for creating a {@link File} to pass to an SDK upload method from a variety of different data formats\n * @param value the raw content of the file. Can be an {@link Uploadable}, {@link BlobLikePart}, or {@link AsyncIterable} of {@link BlobLikePart}s\n * @param {string=} name the name of the file. If omitted, toFile will try to determine a file name from bits if possible\n * @param {Object=} options additional properties\n * @param {string=} options.type the MIME type of the content\n * @param {number=} options.lastModified the last modified timestamp\n * @returns a {@link File} with the given properties\n */\nexport async function toFile(\n value: ToFileInput | PromiseLike,\n name?: string | null | undefined,\n options: FilePropertyBag | undefined = {},\n): Promise {\n // If it's a promise, resolve it.\n value = await value;\n\n if (isResponseLike(value)) {\n const blob = await value.blob();\n name ||= new URL(value.url).pathname.split(/[\\\\/]/).pop() ?? 'unknown_file';\n\n return new File([blob as any], name, options);\n }\n\n const bits = await getBytes(value);\n\n name ||= getName(value) ?? 'unknown_file';\n\n if (!options.type) {\n const type = (bits[0] as any)?.type;\n if (typeof type === 'string') {\n options = { ...options, type };\n }\n }\n\n return new File(bits, name, options);\n}\n\nasync function getBytes(value: ToFileInput): Promise> {\n let parts: Array = [];\n if (\n typeof value === 'string' ||\n ArrayBuffer.isView(value) || // includes Uint8Array, Buffer, etc.\n value instanceof ArrayBuffer\n ) {\n parts.push(value);\n } else if (isBlobLike(value)) {\n parts.push(await value.arrayBuffer());\n } else if (\n isAsyncIterableIterator(value) // includes Readable, ReadableStream, etc.\n ) {\n for await (const chunk of value) {\n parts.push(chunk as BlobPart); // TODO, consider validating?\n }\n } else {\n throw new Error(\n `Unexpected data type: ${typeof value}; constructor: ${\n value?.constructor?.name\n }; props: ${propsForError(value)}`,\n );\n }\n\n return parts;\n}\n\nfunction propsForError(value: any): string {\n const props = Object.getOwnPropertyNames(value);\n return `[${props.map((p) => `\"${p}\"`).join(', ')}]`;\n}\n\nfunction getName(value: any): string | undefined {\n return (\n getStringFromMaybeBuffer(value.name) ||\n getStringFromMaybeBuffer(value.filename) ||\n // For fs.ReadStream\n getStringFromMaybeBuffer(value.path)?.split(/[\\\\/]/).pop()\n );\n}\n\nconst getStringFromMaybeBuffer = (x: string | Buffer | unknown): string | undefined => {\n if (typeof x === 'string') return x;\n if (typeof Buffer !== 'undefined' && x instanceof Buffer) return String(x);\n return undefined;\n};\n\nconst isAsyncIterableIterator = (value: any): value is AsyncIterableIterator =>\n value != null && typeof value === 'object' && typeof value[Symbol.asyncIterator] === 'function';\n\nexport class MultipartBody {\n constructor(public body: Readable | BodyInit) {}\n get [Symbol.toStringTag](): string {\n return 'MultipartBody';\n }\n}\n\nexport const isMultipartBody = (body: any): body is MultipartBody =>\n body && typeof body === 'object' && body.body && body[Symbol.toStringTag] === 'MultipartBody';\n\n/**\n * Returns a multipart/form-data request if any part of the given request body contains a File / Blob value.\n * Otherwise returns the request as is.\n */\nexport const maybeMultipartFormRequestOptions = async >(\n opts: RequestOptions,\n): Promise> => {\n if (!hasUploadableValue(opts.body)) return opts;\n\n const form = await createForm(opts.body);\n return getMultipartRequestOptions(form, opts);\n};\n\nexport const multipartFormRequestOptions = async >(\n opts: RequestOptions,\n): Promise> => {\n const form = await createForm(opts.body);\n return getMultipartRequestOptions(form, opts);\n};\n\nexport const createForm = async >(body: T | undefined): Promise => {\n const form = new FormData();\n await Promise.all(Object.entries(body || {}).map(([key, value]) => addFormValue(form, key, value)));\n return form;\n};\n\nconst hasUploadableValue = (value: unknown): boolean => {\n if (isUploadable(value)) return true;\n if (Array.isArray(value)) return value.some(hasUploadableValue);\n if (value && typeof value === 'object') {\n for (const k in value) {\n if (hasUploadableValue((value as any)[k])) return true;\n }\n }\n return false;\n};\n\nconst addFormValue = async (form: FormData, key: string, value: unknown): Promise => {\n if (value === undefined) return;\n if (value == null) {\n throw new TypeError(\n `Received null for \"${key}\"; to pass null in FormData, you must use the string 'null'`,\n );\n }\n\n // TODO: make nested formats configurable\n if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') {\n form.append(key, String(value));\n } else if (isUploadable(value)) {\n const file = await toFile(value);\n form.append(key, file as File);\n } else if (Array.isArray(value)) {\n await Promise.all(value.map((entry) => addFormValue(form, key + '[]', entry)));\n } else if (typeof value === 'object') {\n await Promise.all(\n Object.entries(value).map(([name, prop]) => addFormValue(form, `${key}[${name}]`, prop)),\n );\n } else {\n throw new TypeError(\n `Invalid value given to form, expected a string, number, boolean, object, Array, File or Blob but got ${value} instead`,\n );\n }\n};\n","/**\n * Disclaimer: modules in _shims aren't intended to be imported by SDK users.\n */\n\n// shim these Node types to avoid importing @types/node and polluting the user's\n// type environment in non-node projects\n\nexport declare class Readable {\n readable: boolean;\n readonly readableEnded: boolean;\n readonly readableFlowing: boolean | null;\n readonly readableHighWaterMark: number;\n readonly readableLength: number;\n readonly readableObjectMode: boolean;\n destroyed: boolean;\n read(size?: number): any;\n pause(): this;\n resume(): this;\n isPaused(): boolean;\n destroy(error?: Error): this;\n [Symbol.asyncIterator](): AsyncIterableIterator;\n}\n\nexport declare class FsReadStream extends Readable {\n path: {}; // node type is string | Buffer\n}\n\nexport function isFsReadStream(value: any): value is FsReadStream {\n return false;\n}\n","import { VERSION } from './version';\nimport { Stream } from './streaming';\nimport { APIError, APIConnectionError, APIConnectionTimeoutError, APIUserAbortError } from './error';\nimport type { Readable } from './_shims/node-readable';\nimport { getDefaultAgent, type Agent } from './_shims/agent';\nimport {\n fetch,\n isPolyfilled as fetchIsPolyfilled,\n type RequestInfo,\n type RequestInit,\n type Response,\n type HeadersInit,\n} from './_shims/fetch.js';\nexport { type Response };\nimport { isMultipartBody } from './uploads';\nexport {\n maybeMultipartFormRequestOptions,\n multipartFormRequestOptions,\n createForm,\n type Uploadable,\n} from './uploads';\n\nconst MAX_RETRIES = 2;\n\nexport type Fetch = (url: RequestInfo, init?: RequestInit) => Promise;\n\ntype PromiseOrValue = T | Promise;\n\ntype APIResponseProps = {\n response: Response;\n options: FinalRequestOptions;\n controller: AbortController;\n};\n\nasync function defaultParseResponse(props: APIResponseProps): Promise {\n const { response } = props;\n if (props.options.stream) {\n // Note: there is an invariant here that isn't represented in the type system\n // that if you set `stream: true` the response type must also be `Stream`\n return new Stream(response, props.controller) as any;\n }\n\n const contentType = response.headers.get('content-type');\n if (contentType?.includes('application/json')) {\n const json = await response.json();\n\n debug('response', response.status, response.url, response.headers, json);\n\n return json as T;\n }\n\n // TODO handle blob, arraybuffer, other content types, etc.\n const text = await response.text();\n debug('response', response.status, response.url, response.headers, text);\n return text as T;\n}\n\n/**\n * A subclass of `Promise` providing additional helper methods\n * for interacting with the SDK.\n */\nexport class APIPromise extends Promise {\n private parsedPromise: Promise | undefined;\n\n constructor(\n private responsePromise: Promise,\n private parseResponse: (props: APIResponseProps) => PromiseOrValue = defaultParseResponse,\n ) {\n super((resolve) => {\n // this is maybe a bit weird but this has to be a no-op to not implicitly\n // parse the response body; instead .then, .catch, .finally are overridden\n // to parse the response\n resolve(null as any);\n });\n }\n\n _thenUnwrap(transform: (data: T) => U): APIPromise {\n return new APIPromise(this.responsePromise, async (props) => transform(await this.parseResponse(props)));\n }\n\n /**\n * Gets the raw `Response` instance instead of parsing the response\n * data.\n *\n * If you want to parse the response body but still get the `Response`\n * instance, you can use {@link withResponse()}.\n */\n asResponse(): Promise {\n return this.responsePromise.then((p) => p.response);\n }\n /**\n * Gets the parsed response data and the raw `Response` instance.\n *\n * If you just want to get the raw `Response` instance without parsing it,\n * you can use {@link asResponse()}.\n */\n async withResponse(): Promise<{ data: T; response: Response }> {\n const [data, response] = await Promise.all([this.parse(), this.asResponse()]);\n return { data, response };\n }\n\n private parse(): Promise {\n if (!this.parsedPromise) {\n this.parsedPromise = this.responsePromise.then(this.parseResponse);\n }\n return this.parsedPromise;\n }\n\n override then(\n onfulfilled?: ((value: T) => TResult1 | PromiseLike) | undefined | null,\n onrejected?: ((reason: any) => TResult2 | PromiseLike) | undefined | null,\n ): Promise {\n return this.parse().then(onfulfilled, onrejected);\n }\n\n override catch(\n onrejected?: ((reason: any) => TResult | PromiseLike) | undefined | null,\n ): Promise {\n return this.parse().catch(onrejected);\n }\n\n override finally(onfinally?: (() => void) | undefined | null): Promise {\n return this.parse().finally(onfinally);\n }\n}\n\nexport abstract class APIClient {\n baseURL: string;\n maxRetries: number;\n timeout: number;\n httpAgent: Agent | undefined;\n\n private fetch: Fetch;\n protected idempotencyHeader?: string;\n\n constructor({\n baseURL,\n maxRetries,\n timeout = 600000, // 10 minutes\n httpAgent,\n fetch: overridenFetch,\n }: {\n baseURL: string;\n maxRetries?: number | undefined;\n timeout: number | undefined;\n httpAgent: Agent | undefined;\n fetch: Fetch | undefined;\n }) {\n this.baseURL = baseURL;\n this.maxRetries = validatePositiveInteger('maxRetries', maxRetries ?? MAX_RETRIES);\n this.timeout = validatePositiveInteger('timeout', timeout);\n this.httpAgent = httpAgent;\n\n this.fetch = overridenFetch ?? fetch;\n }\n\n protected authHeaders(opts: FinalRequestOptions): Headers {\n return {};\n }\n\n /**\n * Override this to add your own default headers, for example:\n *\n * {\n * ...super.defaultHeaders(),\n * Authorization: 'Bearer 123',\n * }\n */\n protected defaultHeaders(opts: FinalRequestOptions): Headers {\n return {\n Accept: 'application/json',\n 'Content-Type': 'application/json',\n 'User-Agent': this.getUserAgent(),\n ...getPlatformHeaders(),\n ...this.authHeaders(opts),\n };\n }\n\n protected abstract defaultQuery(): DefaultQuery | undefined;\n\n /**\n * Override this to add your own headers validation:\n */\n protected validateHeaders(headers: Headers, customHeaders: Headers) {}\n\n protected defaultIdempotencyKey(): string {\n return `stainless-node-retry-${uuid4()}`;\n }\n\n get(path: string, opts?: PromiseOrValue>): APIPromise {\n return this.methodRequest('get', path, opts);\n }\n\n post(path: string, opts?: PromiseOrValue>): APIPromise {\n return this.methodRequest('post', path, opts);\n }\n\n patch(path: string, opts?: PromiseOrValue>): APIPromise {\n return this.methodRequest('patch', path, opts);\n }\n\n put(path: string, opts?: PromiseOrValue>): APIPromise {\n return this.methodRequest('put', path, opts);\n }\n\n delete(path: string, opts?: PromiseOrValue>): APIPromise {\n return this.methodRequest('delete', path, opts);\n }\n\n private methodRequest(\n method: HTTPMethod,\n path: string,\n opts?: PromiseOrValue>,\n ): APIPromise {\n return this.request(Promise.resolve(opts).then((opts) => ({ method, path, ...opts })));\n }\n\n getAPIList = AbstractPage>(\n path: string,\n Page: new (...args: any[]) => PageClass,\n opts?: RequestOptions,\n ): PagePromise {\n return this.requestAPIList(Page, { method: 'get', path, ...opts });\n }\n\n private calculateContentLength(body: unknown): string | null {\n if (typeof body === 'string') {\n if (typeof Buffer !== 'undefined') {\n return Buffer.byteLength(body, 'utf8').toString();\n }\n\n if (typeof TextEncoder !== 'undefined') {\n const encoder = new TextEncoder();\n const encoded = encoder.encode(body);\n return encoded.length.toString();\n }\n }\n\n return null;\n }\n\n buildRequest(\n options: FinalRequestOptions,\n ): { req: RequestInit; url: string; timeout: number } {\n const { method, path, query, headers: headers = {} } = options;\n\n const body =\n isMultipartBody(options.body) ? options.body.body\n : options.body ? JSON.stringify(options.body, null, 2)\n : null;\n const contentLength = this.calculateContentLength(body);\n\n const url = this.buildURL(path!, query);\n if ('timeout' in options) validatePositiveInteger('timeout', options.timeout);\n const timeout = options.timeout ?? this.timeout;\n const httpAgent = options.httpAgent ?? this.httpAgent ?? getDefaultAgent(url);\n const minAgentTimeout = timeout + 1000;\n if (\n typeof (httpAgent as any)?.options?.timeout === 'number' &&\n minAgentTimeout > ((httpAgent as any).options.timeout ?? 0)\n ) {\n // Allow any given request to bump our agent active socket timeout.\n // This may seem strange, but leaking active sockets should be rare and not particularly problematic,\n // and without mutating agent we would need to create more of them.\n // This tradeoff optimizes for performance.\n (httpAgent as any).options.timeout = minAgentTimeout;\n }\n\n if (this.idempotencyHeader && method !== 'get') {\n if (!options.idempotencyKey) options.idempotencyKey = this.defaultIdempotencyKey();\n headers[this.idempotencyHeader] = options.idempotencyKey;\n }\n\n const reqHeaders: Record = {\n ...(contentLength && { 'Content-Length': contentLength }),\n ...this.defaultHeaders(options),\n ...headers,\n };\n // let builtin fetch set the Content-Type for multipart bodies\n if (isMultipartBody(options.body) && !fetchIsPolyfilled) {\n delete reqHeaders['Content-Type'];\n }\n\n // Strip any headers being explicitly omitted with null\n Object.keys(reqHeaders).forEach((key) => reqHeaders[key] === null && delete reqHeaders[key]);\n\n const req: RequestInit = {\n method,\n ...(body && { body: body as any }),\n headers: reqHeaders,\n ...(httpAgent && { agent: httpAgent }),\n // @ts-ignore node-fetch uses a custom AbortSignal type that is\n // not compatible with standard web types\n signal: options.signal ?? null,\n };\n\n this.validateHeaders(reqHeaders, headers);\n\n return { req, url, timeout };\n }\n\n /**\n * Used as a callback for mutating the given `RequestInit` object.\n *\n * This is useful for cases where you want to add certain headers based off of\n * the request properties, e.g. `method` or `url`.\n */\n protected async prepareRequest(\n request: RequestInit,\n { url, options }: { url: string; options: FinalRequestOptions },\n ): Promise {}\n\n protected parseHeaders(headers: HeadersInit | null | undefined): Record {\n return (\n !headers ? {}\n : Symbol.iterator in headers ? Object.fromEntries(Array.from(headers).map((header) => [...header]))\n : { ...headers }\n );\n }\n\n protected makeStatusError(\n status: number | undefined,\n error: Object | undefined,\n message: string | undefined,\n headers: Headers | undefined,\n ) {\n return APIError.generate(status, error, message, headers);\n }\n\n request(\n options: PromiseOrValue>,\n remainingRetries: number | null = null,\n ): APIPromise {\n return new APIPromise(this.makeRequest(options, remainingRetries));\n }\n\n private async makeRequest(\n optionsInput: PromiseOrValue,\n retriesRemaining: number | null,\n ): Promise {\n const options = await optionsInput;\n if (retriesRemaining == null) {\n retriesRemaining = options.maxRetries ?? this.maxRetries;\n }\n\n const { req, url, timeout } = this.buildRequest(options);\n\n await this.prepareRequest(req, { url, options });\n\n debug('request', url, options, req.headers);\n\n if (options.signal?.aborted) {\n throw new APIUserAbortError();\n }\n\n const controller = new AbortController();\n const response = await this.fetchWithTimeout(url, req, timeout, controller).catch(castToError);\n\n if (response instanceof Error) {\n if (options.signal?.aborted) {\n throw new APIUserAbortError();\n }\n if (retriesRemaining) {\n return this.retryRequest(options, retriesRemaining);\n }\n if (response.name === 'AbortError') {\n throw new APIConnectionTimeoutError();\n }\n throw new APIConnectionError({ cause: response });\n }\n\n const responseHeaders = createResponseHeaders(response.headers);\n\n if (!response.ok) {\n if (retriesRemaining && this.shouldRetry(response)) {\n return this.retryRequest(options, retriesRemaining, responseHeaders);\n }\n\n const errText = await response.text().catch(() => 'Unknown');\n const errJSON = safeJSON(errText);\n const errMessage = errJSON ? undefined : errText;\n\n debug('response', response.status, url, responseHeaders, errMessage);\n\n const err = this.makeStatusError(response.status, errJSON, errMessage, responseHeaders);\n throw err;\n }\n\n return { response, options, controller };\n }\n\n requestAPIList = AbstractPage>(\n Page: new (...args: ConstructorParameters) => PageClass,\n options: FinalRequestOptions,\n ): PagePromise {\n const request = this.makeRequest(options, null);\n return new PagePromise(this, request, Page);\n }\n\n buildURL(path: string, query: Req | undefined): string {\n const url =\n isAbsoluteURL(path) ?\n new URL(path)\n : new URL(this.baseURL + (this.baseURL.endsWith('/') && path.startsWith('/') ? path.slice(1) : path));\n\n const defaultQuery = this.defaultQuery();\n if (!isEmptyObj(defaultQuery)) {\n query = { ...defaultQuery, ...query } as Req;\n }\n\n if (query) {\n url.search = this.stringifyQuery(query);\n }\n\n return url.toString();\n }\n\n protected stringifyQuery(query: Record): string {\n return Object.entries(query)\n .filter(([_, value]) => typeof value !== 'undefined')\n .map(([key, value]) => {\n if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') {\n return `${encodeURIComponent(key)}=${encodeURIComponent(value)}`;\n }\n if (value === null) {\n return `${encodeURIComponent(key)}=`;\n }\n throw new Error(\n `Cannot stringify type ${typeof value}; Expected string, number, boolean, or null. If you need to pass nested query parameters, you can manually encode them, e.g. { query: { 'foo[key1]': value1, 'foo[key2]': value2 } }, and please open a GitHub issue requesting better support for your use case.`,\n );\n })\n .join('&');\n }\n\n async fetchWithTimeout(\n url: RequestInfo,\n init: RequestInit | undefined,\n ms: number,\n controller: AbortController,\n ): Promise {\n const { signal, ...options } = init || {};\n if (signal) signal.addEventListener('abort', () => controller.abort());\n\n const timeout = setTimeout(() => controller.abort(), ms);\n\n return this.getRequestClient()\n .fetch(url, { signal: controller.signal as any, ...options })\n .finally(() => {\n clearTimeout(timeout);\n });\n }\n\n protected getRequestClient(): RequestClient {\n return { fetch: this.fetch };\n }\n\n private shouldRetry(response: Response): boolean {\n // Note this is not a standard header.\n const shouldRetryHeader = response.headers.get('x-should-retry');\n\n // If the server explicitly says whether or not to retry, obey.\n if (shouldRetryHeader === 'true') return true;\n if (shouldRetryHeader === 'false') return false;\n\n // Retry on lock timeouts.\n if (response.status === 409) return true;\n\n // Retry on rate limits.\n if (response.status === 429) return true;\n\n // Retry internal errors.\n if (response.status >= 500) return true;\n\n return false;\n }\n\n private async retryRequest(\n options: FinalRequestOptions,\n retriesRemaining: number,\n responseHeaders?: Headers | undefined,\n ): Promise {\n retriesRemaining -= 1;\n\n // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After\n //\n // TODO: we may want to handle the case where the header is using the http-date syntax: \"Retry-After: \".\n // See https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After#syntax for details.\n const retryAfter = parseInt(responseHeaders?.['retry-after'] || '');\n\n const maxRetries = options.maxRetries ?? this.maxRetries;\n const timeout = this.calculateRetryTimeoutSeconds(retriesRemaining, retryAfter, maxRetries) * 1000;\n await sleep(timeout);\n\n return this.makeRequest(options, retriesRemaining);\n }\n\n private calculateRetryTimeoutSeconds(\n retriesRemaining: number,\n retryAfter: number,\n maxRetries: number,\n ): number {\n const initialRetryDelay = 0.5;\n const maxRetryDelay = 2;\n\n // If the API asks us to wait a certain amount of time (and it's a reasonable amount),\n // just do what it says.\n if (Number.isInteger(retryAfter) && retryAfter <= 60) {\n return retryAfter;\n }\n\n const numRetries = maxRetries - retriesRemaining;\n\n // Apply exponential backoff, but not more than the max.\n const sleepSeconds = Math.min(initialRetryDelay * Math.pow(numRetries - 1, 2), maxRetryDelay);\n\n // Apply some jitter, plus-or-minus half a second.\n const jitter = Math.random() - 0.5;\n\n return sleepSeconds + jitter;\n }\n\n private getUserAgent(): string {\n return `${this.constructor.name}/JS ${VERSION}`;\n }\n}\n\nexport class APIResource {\n protected client: APIClient;\n constructor(client: APIClient) {\n this.client = client;\n\n this.get = client.get.bind(client);\n this.post = client.post.bind(client);\n this.patch = client.patch.bind(client);\n this.put = client.put.bind(client);\n this.delete = client.delete.bind(client);\n this.getAPIList = client.getAPIList.bind(client);\n }\n\n protected get: APIClient['get'];\n protected post: APIClient['post'];\n protected patch: APIClient['patch'];\n protected put: APIClient['put'];\n protected delete: APIClient['delete'];\n protected getAPIList: APIClient['getAPIList'];\n}\n\nexport type PageInfo = { url: URL } | { params: Record | null };\n\nexport abstract class AbstractPage implements AsyncIterable {\n #client: APIClient;\n protected options: FinalRequestOptions;\n\n protected response: Response;\n protected body: unknown;\n\n constructor(client: APIClient, response: Response, body: unknown, options: FinalRequestOptions) {\n this.#client = client;\n this.options = options;\n this.response = response;\n this.body = body;\n }\n\n /**\n * @deprecated Use nextPageInfo instead\n */\n abstract nextPageParams(): Partial> | null;\n abstract nextPageInfo(): PageInfo | null;\n\n abstract getPaginatedItems(): Item[];\n\n hasNextPage(): boolean {\n const items = this.getPaginatedItems();\n if (!items.length) return false;\n return this.nextPageInfo() != null;\n }\n\n async getNextPage(): Promise {\n const nextInfo = this.nextPageInfo();\n if (!nextInfo) {\n throw new Error(\n 'No next page expected; please check `.hasNextPage()` before calling `.getNextPage()`.',\n );\n }\n const nextOptions = { ...this.options };\n if ('params' in nextInfo) {\n nextOptions.query = { ...nextOptions.query, ...nextInfo.params };\n } else if ('url' in nextInfo) {\n const params = [...Object.entries(nextOptions.query || {}), ...nextInfo.url.searchParams.entries()];\n for (const [key, value] of params) {\n nextInfo.url.searchParams.set(key, value);\n }\n nextOptions.query = undefined;\n nextOptions.path = nextInfo.url.toString();\n }\n return await this.#client.requestAPIList(this.constructor as any, nextOptions);\n }\n\n async *iterPages() {\n // eslint-disable-next-line @typescript-eslint/no-this-alias\n let page: AbstractPage = this;\n yield page;\n while (page.hasNextPage()) {\n page = await page.getNextPage();\n yield page;\n }\n }\n\n async *[Symbol.asyncIterator]() {\n for await (const page of this.iterPages()) {\n for (const item of page.getPaginatedItems()) {\n yield item;\n }\n }\n }\n}\n\n/**\n * This subclass of Promise will resolve to an instantiated Page once the request completes.\n *\n * It also implements AsyncIterable to allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\nexport class PagePromise<\n PageClass extends AbstractPage,\n Item = ReturnType[number],\n >\n extends APIPromise\n implements AsyncIterable\n{\n constructor(\n client: APIClient,\n request: Promise,\n Page: new (...args: ConstructorParameters) => PageClass,\n ) {\n super(\n request,\n async (props) => new Page(client, props.response, await defaultParseResponse(props), props.options),\n );\n }\n\n /**\n * Allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\n async *[Symbol.asyncIterator]() {\n const page = await this;\n for await (const item of page) {\n yield item;\n }\n }\n}\n\nexport const createResponseHeaders = (\n headers: Awaited>['headers'],\n): Record => {\n return new Proxy(\n Object.fromEntries(\n // @ts-ignore\n headers.entries(),\n ),\n {\n get(target, name) {\n const key = name.toString();\n return target[key.toLowerCase()] || target[key];\n },\n },\n );\n};\n\ntype HTTPMethod = 'get' | 'post' | 'put' | 'patch' | 'delete';\n\nexport type RequestClient = { fetch: Fetch };\nexport type Headers = Record;\nexport type DefaultQuery = Record;\nexport type KeysEnum = { [P in keyof Required]: true };\n\nexport type RequestOptions | Readable> = {\n method?: HTTPMethod;\n path?: string;\n query?: Req | undefined;\n body?: Req | undefined;\n headers?: Headers | undefined;\n\n maxRetries?: number;\n stream?: boolean | undefined;\n timeout?: number;\n httpAgent?: Agent;\n signal?: AbortSignal | undefined | null;\n idempotencyKey?: string;\n};\n\n// This is required so that we can determine if a given object matches the RequestOptions\n// type at runtime. While this requires duplication, it is enforced by the TypeScript\n// compiler such that any missing / extraneous keys will cause an error.\nconst requestOptionsKeys: KeysEnum = {\n method: true,\n path: true,\n query: true,\n body: true,\n headers: true,\n\n maxRetries: true,\n stream: true,\n timeout: true,\n httpAgent: true,\n signal: true,\n idempotencyKey: true,\n};\n\nexport const isRequestOptions = (obj: unknown): obj is RequestOptions => {\n return (\n typeof obj === 'object' &&\n obj !== null &&\n !isEmptyObj(obj) &&\n Object.keys(obj).every((k) => hasOwn(requestOptionsKeys, k))\n );\n};\n\nexport type FinalRequestOptions | Readable> = RequestOptions & {\n method: HTTPMethod;\n path: string;\n};\n\ndeclare const Deno: any;\ndeclare const EdgeRuntime: any;\ntype Arch = 'x32' | 'x64' | 'arm' | 'arm64' | `other:${string}` | 'unknown';\ntype PlatformName =\n | 'MacOS'\n | 'Linux'\n | 'Windows'\n | 'FreeBSD'\n | 'OpenBSD'\n | 'iOS'\n | 'Android'\n | `Other:${string}`\n | 'Unknown';\ntype Browser = 'ie' | 'edge' | 'chrome' | 'firefox' | 'safari';\ntype PlatformProperties = {\n 'X-Stainless-Lang': 'js';\n 'X-Stainless-Package-Version': string;\n 'X-Stainless-OS': PlatformName;\n 'X-Stainless-Arch': Arch;\n 'X-Stainless-Runtime': 'node' | 'deno' | 'edge' | `browser:${Browser}` | 'unknown';\n 'X-Stainless-Runtime-Version': string;\n};\nconst getPlatformProperties = (): PlatformProperties => {\n if (typeof Deno !== 'undefined' && Deno.build != null) {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(Deno.build.os),\n 'X-Stainless-Arch': normalizeArch(Deno.build.arch),\n 'X-Stainless-Runtime': 'deno',\n 'X-Stainless-Runtime-Version': Deno.version,\n };\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': `other:${EdgeRuntime}`,\n 'X-Stainless-Runtime': 'edge',\n 'X-Stainless-Runtime-Version': process.version,\n };\n }\n // Check if Node.js\n if (Object.prototype.toString.call(typeof process !== 'undefined' ? process : 0) === '[object process]') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(process.platform),\n 'X-Stainless-Arch': normalizeArch(process.arch),\n 'X-Stainless-Runtime': 'node',\n 'X-Stainless-Runtime-Version': process.version,\n };\n }\n\n const browserInfo = getBrowserInfo();\n if (browserInfo) {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': `browser:${browserInfo.browser}`,\n 'X-Stainless-Runtime-Version': browserInfo.version,\n };\n }\n\n // TODO add support for Cloudflare workers, etc.\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': 'unknown',\n 'X-Stainless-Runtime-Version': 'unknown',\n };\n};\n\ntype BrowserInfo = {\n browser: Browser;\n version: string;\n};\n\ndeclare const navigator: { userAgent: string } | undefined;\n\n// Note: modified from https://github.com/JS-DevTools/host-environment/blob/b1ab79ecde37db5d6e163c050e54fe7d287d7c92/src/isomorphic.browser.ts\nfunction getBrowserInfo(): BrowserInfo | null {\n if (typeof navigator === 'undefined' || !navigator) {\n return null;\n }\n\n // NOTE: The order matters here!\n const browserPatterns = [\n { key: 'edge' as const, pattern: /Edge(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie' as const, pattern: /MSIE(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie' as const, pattern: /Trident(?:.*rv\\:(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'chrome' as const, pattern: /Chrome(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'firefox' as const, pattern: /Firefox(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'safari' as const, pattern: /(?:Version\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?(?:\\W+Mobile\\S*)?\\W+Safari/ },\n ];\n\n // Find the FIRST matching browser\n for (const { key, pattern } of browserPatterns) {\n const match = pattern.exec(navigator.userAgent);\n if (match) {\n const major = match[1] || 0;\n const minor = match[2] || 0;\n const patch = match[3] || 0;\n\n return { browser: key, version: `${major}.${minor}.${patch}` };\n }\n }\n\n return null;\n}\n\nconst normalizeArch = (arch: string): Arch => {\n // Node docs:\n // - https://nodejs.org/api/process.html#processarch\n // Deno docs:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n if (arch === 'x32') return 'x32';\n if (arch === 'x86_64' || arch === 'x64') return 'x64';\n if (arch === 'arm') return 'arm';\n if (arch === 'aarch64' || arch === 'arm64') return 'arm64';\n if (arch) return `other:${arch}`;\n return 'unknown';\n};\n\nconst normalizePlatform = (platform: string): PlatformName => {\n // Node platforms:\n // - https://nodejs.org/api/process.html#processplatform\n // Deno platforms:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n // - https://github.com/denoland/deno/issues/14799\n\n platform = platform.toLowerCase();\n\n // NOTE: this iOS check is untested and may not work\n // Node does not work natively on IOS, there is a fork at\n // https://github.com/nodejs-mobile/nodejs-mobile\n // however it is unknown at the time of writing how to detect if it is running\n if (platform.includes('ios')) return 'iOS';\n if (platform === 'android') return 'Android';\n if (platform === 'darwin') return 'MacOS';\n if (platform === 'win32') return 'Windows';\n if (platform === 'freebsd') return 'FreeBSD';\n if (platform === 'openbsd') return 'OpenBSD';\n if (platform === 'linux') return 'Linux';\n if (platform) return `Other:${platform}`;\n return 'Unknown';\n};\n\nlet _platformHeaders: PlatformProperties;\nconst getPlatformHeaders = () => {\n return (_platformHeaders ??= getPlatformProperties());\n};\n\nexport const safeJSON = (text: string) => {\n try {\n return JSON.parse(text);\n } catch (err) {\n return undefined;\n }\n};\n\n// https://stackoverflow.com/a/19709846\nconst startsWithSchemeRegexp = new RegExp('^(?:[a-z]+:)?//', 'i');\nconst isAbsoluteURL = (url: string): boolean => {\n return startsWithSchemeRegexp.test(url);\n};\n\nconst sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));\n\nconst validatePositiveInteger = (name: string, n: unknown): number => {\n if (typeof n !== 'number' || !Number.isInteger(n)) {\n throw new Error(`${name} must be an integer`);\n }\n if (n < 0) {\n throw new Error(`${name} must be a positive integer`);\n }\n return n;\n};\n\nexport const castToError = (err: any): Error => {\n if (err instanceof Error) return err;\n return new Error(err);\n};\n\nexport const ensurePresent = (value: T | null | undefined): T => {\n if (value == null) throw new Error(`Expected a value to be given but received ${value} instead.`);\n return value;\n};\n\n/**\n * Read an environment variable.\n *\n * Will return undefined if the environment variable doesn't exist or cannot be accessed.\n */\nexport const readEnv = (env: string): string | undefined => {\n if (typeof process !== 'undefined') {\n return process.env?.[env] ?? undefined;\n }\n if (typeof Deno !== 'undefined') {\n return Deno.env?.get?.(env);\n }\n return undefined;\n};\n\nexport const coerceInteger = (value: unknown): number => {\n if (typeof value === 'number') return Math.round(value);\n if (typeof value === 'string') return parseInt(value, 10);\n\n throw new Error(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\n\nexport const coerceFloat = (value: unknown): number => {\n if (typeof value === 'number') return value;\n if (typeof value === 'string') return parseFloat(value);\n\n throw new Error(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\n\nexport const coerceBoolean = (value: unknown): boolean => {\n if (typeof value === 'boolean') return value;\n if (typeof value === 'string') return value === 'true';\n return Boolean(value);\n};\n\nexport const maybeCoerceInteger = (value: unknown): number | undefined => {\n if (value === undefined) {\n return undefined;\n }\n return coerceInteger(value);\n};\n\nexport const maybeCoerceFloat = (value: unknown): number | undefined => {\n if (value === undefined) {\n return undefined;\n }\n return coerceFloat(value);\n};\n\nexport const maybeCoerceBoolean = (value: unknown): boolean | undefined => {\n if (value === undefined) {\n return undefined;\n }\n return coerceBoolean(value);\n};\n\n// https://stackoverflow.com/a/34491287\nexport function isEmptyObj(obj: Object | null | undefined): boolean {\n if (!obj) return true;\n for (const _k in obj) return false;\n return true;\n}\n\n// https://eslint.org/docs/latest/rules/no-prototype-builtins\nexport function hasOwn(obj: Object, key: string): boolean {\n return Object.prototype.hasOwnProperty.call(obj, key);\n}\n\nexport function debug(action: string, ...args: any[]) {\n if (typeof process !== 'undefined' && process.env['DEBUG'] === 'true') {\n console.log(`OpenAI:DEBUG:${action}`, ...args);\n }\n}\n\n/**\n * https://stackoverflow.com/a/2117523\n */\nconst uuid4 = () => {\n return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, (c) => {\n const r = (Math.random() * 16) | 0;\n const v = c === 'x' ? r : (r & 0x3) | 0x8;\n return v.toString(16);\n });\n};\n\nexport const isRunningInBrowser = () => {\n return (\n // @ts-ignore\n typeof window !== 'undefined' &&\n // @ts-ignore\n typeof window.document !== 'undefined' &&\n // @ts-ignore\n typeof navigator !== 'undefined'\n );\n};\n\nexport interface HeadersProtocol {\n get: (header: string) => string | null | undefined;\n}\nexport type HeadersLike = Record | HeadersProtocol;\n\nexport const isHeadersProtocol = (headers: any): headers is HeadersProtocol => {\n return typeof headers?.get === 'function';\n};\n\nexport const getHeader = (headers: HeadersLike, key: string): string | null | undefined => {\n const lowerKey = key.toLowerCase();\n if (isHeadersProtocol(headers)) return headers.get(key) || headers.get(lowerKey);\n const value = headers[key] || headers[lowerKey];\n if (Array.isArray(value)) {\n if (value.length <= 1) return value[0];\n console.warn(`Received ${value.length} entries for the ${key} header, using the first entry.`);\n return value[0];\n }\n return value;\n};\n\n/**\n * Encodes a string to Base64 format.\n */\nexport const toBase64 = (str: string | null | undefined): string => {\n if (!str) return '';\n if (typeof Buffer !== 'undefined') {\n return Buffer.from(str).toString('base64');\n }\n\n if (typeof btoa !== 'undefined') {\n return btoa(str);\n }\n\n throw new Error('Cannot generate b64 string; Expected `Buffer` or `btoa` to be defined');\n};\n","// File generated from our OpenAPI spec by Stainless.\n\nimport { AbstractPage, Response, APIClient, FinalRequestOptions, PageInfo } from './core';\n\nexport interface PageResponse {\n data: Array;\n\n object: string;\n}\n\n/**\n * Note: no pagination actually occurs yet, this is for forwards-compatibility.\n */\nexport class Page extends AbstractPage implements PageResponse {\n object: string;\n\n data: Array;\n\n constructor(client: APIClient, response: Response, body: PageResponse, options: FinalRequestOptions) {\n super(client, response, body, options);\n\n this.object = body.object;\n this.data = body.data;\n }\n\n getPaginatedItems(): Item[] {\n return this.data;\n }\n\n // @deprecated Please use `nextPageInfo()` instead\n /**\n * This page represents a response that isn't actually paginated at the API level\n * so there will never be any next page params.\n */\n nextPageParams(): null {\n return null;\n }\n\n nextPageInfo(): null {\n return null;\n }\n}\n\nexport interface CursorPageResponse {\n data: Array;\n}\n\nexport interface CursorPageParams {\n /**\n * Identifier for the last job from the previous pagination request.\n */\n after?: string;\n\n /**\n * Number of fine-tuning jobs to retrieve.\n */\n limit?: number;\n}\n\nexport class CursorPage\n extends AbstractPage\n implements CursorPageResponse\n{\n data: Array;\n\n constructor(\n client: APIClient,\n response: Response,\n body: CursorPageResponse,\n options: FinalRequestOptions,\n ) {\n super(client, response, body, options);\n\n this.data = body.data;\n }\n\n getPaginatedItems(): Item[] {\n return this.data;\n }\n\n // @deprecated Please use `nextPageInfo()` instead\n nextPageParams(): Partial | null {\n const info = this.nextPageInfo();\n if (!info) return null;\n if ('params' in info) return info.params;\n const params = Object.fromEntries(info.url.searchParams);\n if (!Object.keys(params).length) return null;\n return params;\n }\n\n nextPageInfo(): PageInfo | null {\n if (!this.data?.length) {\n return null;\n }\n\n const next = this.data[this.data.length - 1]?.id;\n if (!next) return null;\n return { params: { after: next } };\n }\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport type { OpenAI } from './index';\n\nexport class APIResource {\n protected client: OpenAI;\n constructor(client: OpenAI) {\n this.client = client;\n\n this.get = client.get.bind(client);\n this.post = client.post.bind(client);\n this.patch = client.patch.bind(client);\n this.put = client.put.bind(client);\n this.delete = client.delete.bind(client);\n this.getAPIList = client.getAPIList.bind(client);\n }\n\n protected get: OpenAI['get'];\n protected post: OpenAI['post'];\n protected patch: OpenAI['patch'];\n protected put: OpenAI['put'];\n protected delete: OpenAI['delete'];\n protected getAPIList: OpenAI['getAPIList'];\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../../core';\nimport { APIResource } from '../../resource';\nimport * as API from './index';\nimport { type Uploadable, multipartFormRequestOptions } from '../../core';\n\nexport class Transcriptions extends APIResource {\n /**\n * Transcribes audio into the input language.\n */\n create(body: TranscriptionCreateParams, options?: Core.RequestOptions): Core.APIPromise {\n return this.post('/audio/transcriptions', multipartFormRequestOptions({ body, ...options }));\n }\n}\n\nexport interface Transcription {\n text: string;\n}\n\nexport interface TranscriptionCreateParams {\n /**\n * The audio file object (not file name) to transcribe, in one of these formats:\n * flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.\n */\n file: Uploadable;\n\n /**\n * ID of the model to use. Only `whisper-1` is currently available.\n */\n model: (string & {}) | 'whisper-1';\n\n /**\n * The language of the input audio. Supplying the input language in\n * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will\n * improve accuracy and latency.\n */\n language?: string;\n\n /**\n * An optional text to guide the model's style or continue a previous audio\n * segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the\n * audio language.\n */\n prompt?: string;\n\n /**\n * The format of the transcript output, in one of these options: json, text, srt,\n * verbose_json, or vtt.\n */\n response_format?: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt';\n\n /**\n * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the\n * output more random, while lower values like 0.2 will make it more focused and\n * deterministic. If set to 0, the model will use\n * [log probability](https://en.wikipedia.org/wiki/Log_probability) to\n * automatically increase the temperature until certain thresholds are hit.\n */\n temperature?: number;\n}\n\nexport namespace Transcriptions {\n export import Transcription = API.Transcription;\n export import TranscriptionCreateParams = API.TranscriptionCreateParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../../core';\nimport { APIResource } from '../../resource';\nimport * as API from './index';\nimport { type Uploadable, multipartFormRequestOptions } from '../../core';\n\nexport class Translations extends APIResource {\n /**\n * Translates audio into English.\n */\n create(body: TranslationCreateParams, options?: Core.RequestOptions): Core.APIPromise {\n return this.post('/audio/translations', multipartFormRequestOptions({ body, ...options }));\n }\n}\n\nexport interface Translation {\n text: string;\n}\n\nexport interface TranslationCreateParams {\n /**\n * The audio file object (not file name) translate, in one of these formats: flac,\n * mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.\n */\n file: Uploadable;\n\n /**\n * ID of the model to use. Only `whisper-1` is currently available.\n */\n model: (string & {}) | 'whisper-1';\n\n /**\n * An optional text to guide the model's style or continue a previous audio\n * segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in\n * English.\n */\n prompt?: string;\n\n /**\n * The format of the transcript output, in one of these options: json, text, srt,\n * verbose_json, or vtt.\n */\n response_format?: string;\n\n /**\n * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the\n * output more random, while lower values like 0.2 will make it more focused and\n * deterministic. If set to 0, the model will use\n * [log probability](https://en.wikipedia.org/wiki/Log_probability) to\n * automatically increase the temperature until certain thresholds are hit.\n */\n temperature?: number;\n}\n\nexport namespace Translations {\n export import Translation = API.Translation;\n export import TranslationCreateParams = API.TranslationCreateParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport { APIResource } from '../../resource';\nimport { Transcriptions } from './transcriptions';\nimport { Translations } from './translations';\nimport * as API from './index';\n\nexport class Audio extends APIResource {\n transcriptions: Transcriptions = new Transcriptions(this.client);\n translations: Translations = new Translations(this.client);\n}\n\nexport namespace Audio {\n export import Transcriptions = API.Transcriptions;\n export import Transcription = API.Transcription;\n export import TranscriptionCreateParams = API.TranscriptionCreateParams;\n\n export import Translations = API.Translations;\n export import Translation = API.Translation;\n export import TranslationCreateParams = API.TranslationCreateParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../../core';\nimport { APIPromise } from '../../core';\nimport { APIResource } from '../../resource';\nimport * as Completions_ from '../completions';\nimport * as API from './index';\nimport { Stream } from '../../streaming';\n\nexport class Completions extends APIResource {\n /**\n * Creates a model response for the given chat conversation.\n */\n create(\n body: ChatCompletionCreateParamsNonStreaming,\n options?: Core.RequestOptions,\n ): APIPromise;\n create(\n body: ChatCompletionCreateParamsStreaming,\n options?: Core.RequestOptions,\n ): APIPromise>;\n create(\n body: ChatCompletionCreateParamsBase,\n options?: Core.RequestOptions,\n ): APIPromise | ChatCompletion>;\n create(\n body: ChatCompletionCreateParams,\n options?: Core.RequestOptions,\n ): APIPromise | APIPromise> {\n return this.post('/chat/completions', { body, ...options, stream: body.stream ?? false }) as\n | APIPromise\n | APIPromise>;\n }\n}\n\n/**\n * Represents a chat completion response returned by model, based on the provided\n * input.\n */\nexport interface ChatCompletion {\n /**\n * A unique identifier for the chat completion.\n */\n id: string;\n\n /**\n * A list of chat completion choices. Can be more than one if `n` is greater\n * than 1.\n */\n choices: Array;\n\n /**\n * A unix timestamp of when the chat completion was created.\n */\n created: number;\n\n /**\n * The model used for the chat completion.\n */\n model: string;\n\n /**\n * The object type, which is always `chat.completion`.\n */\n object: string;\n\n /**\n * Usage statistics for the completion request.\n */\n usage?: Completions_.CompletionUsage;\n}\n\nexport namespace ChatCompletion {\n export interface Choice {\n /**\n * The reason the model stopped generating tokens. This will be `stop` if the model\n * hit a natural stop point or a provided stop sequence, `length` if the maximum\n * number of tokens specified in the request was reached, or `function_call` if the\n * model called a function.\n */\n finish_reason: 'stop' | 'length' | 'function_call';\n\n /**\n * The index of the choice in the list of choices.\n */\n index: number;\n\n /**\n * A chat completion message generated by the model.\n */\n message: ChatCompletionMessage;\n }\n}\n\n/**\n * Represents a streamed chunk of a chat completion response returned by model,\n * based on the provided input.\n */\nexport interface ChatCompletionChunk {\n /**\n * A unique identifier for the chat completion chunk.\n */\n id: string;\n\n /**\n * A list of chat completion choices. Can be more than one if `n` is greater\n * than 1.\n */\n choices: Array;\n\n /**\n * A unix timestamp of when the chat completion chunk was created.\n */\n created: number;\n\n /**\n * The model to generate the completion.\n */\n model: string;\n\n /**\n * The object type, which is always `chat.completion.chunk`.\n */\n object: string;\n}\n\nexport namespace ChatCompletionChunk {\n export interface Choice {\n /**\n * A chat completion delta generated by streamed model responses.\n */\n delta: Choice.Delta;\n\n /**\n * The reason the model stopped generating tokens. This will be `stop` if the model\n * hit a natural stop point or a provided stop sequence, `length` if the maximum\n * number of tokens specified in the request was reached, or `function_call` if the\n * model called a function.\n */\n finish_reason: 'stop' | 'length' | 'function_call' | null;\n\n /**\n * The index of the choice in the list of choices.\n */\n index: number;\n }\n\n export namespace Choice {\n /**\n * A chat completion delta generated by streamed model responses.\n */\n export interface Delta {\n /**\n * The contents of the chunk message.\n */\n content?: string | null;\n\n /**\n * The name and arguments of a function that should be called, as generated by the\n * model.\n */\n function_call?: Delta.FunctionCall;\n\n /**\n * The role of the author of this message.\n */\n role?: 'system' | 'user' | 'assistant' | 'function';\n }\n\n export namespace Delta {\n /**\n * The name and arguments of a function that should be called, as generated by the\n * model.\n */\n export interface FunctionCall {\n /**\n * The arguments to call the function with, as generated by the model in JSON\n * format. Note that the model does not always generate valid JSON, and may\n * hallucinate parameters not defined by your function schema. Validate the\n * arguments in your code before calling your function.\n */\n arguments?: string;\n\n /**\n * The name of the function to call.\n */\n name?: string;\n }\n }\n }\n}\n\n/**\n * A chat completion message generated by the model.\n */\nexport interface ChatCompletionMessage {\n /**\n * The contents of the message.\n */\n content: string | null;\n\n /**\n * The role of the author of this message.\n */\n role: 'system' | 'user' | 'assistant' | 'function';\n\n /**\n * The name and arguments of a function that should be called, as generated by the\n * model.\n */\n function_call?: ChatCompletionMessage.FunctionCall;\n}\n\nexport namespace ChatCompletionMessage {\n /**\n * The name and arguments of a function that should be called, as generated by the\n * model.\n */\n export interface FunctionCall {\n /**\n * The arguments to call the function with, as generated by the model in JSON\n * format. Note that the model does not always generate valid JSON, and may\n * hallucinate parameters not defined by your function schema. Validate the\n * arguments in your code before calling your function.\n */\n arguments: string;\n\n /**\n * The name of the function to call.\n */\n name: string;\n }\n}\n\nexport interface ChatCompletionMessageParam {\n /**\n * The contents of the message. `content` is required for all messages, and may be\n * null for assistant messages with function calls.\n */\n content: string | null;\n\n /**\n * The role of the messages author. One of `system`, `user`, `assistant`, or\n * `function`.\n */\n role: 'system' | 'user' | 'assistant' | 'function';\n\n /**\n * The name and arguments of a function that should be called, as generated by the\n * model.\n */\n function_call?: ChatCompletionMessageParam.FunctionCall;\n\n /**\n * The name of the author of this message. `name` is required if role is\n * `function`, and it should be the name of the function whose response is in the\n * `content`. May contain a-z, A-Z, 0-9, and underscores, with a maximum length of\n * 64 characters.\n */\n name?: string;\n}\n\nexport namespace ChatCompletionMessageParam {\n /**\n * The name and arguments of a function that should be called, as generated by the\n * model.\n */\n export interface FunctionCall {\n /**\n * The arguments to call the function with, as generated by the model in JSON\n * format. Note that the model does not always generate valid JSON, and may\n * hallucinate parameters not defined by your function schema. Validate the\n * arguments in your code before calling your function.\n */\n arguments: string;\n\n /**\n * The name of the function to call.\n */\n name: string;\n }\n}\n\n/**\n * @deprecated ChatCompletionMessageParam should be used instead\n */\nexport type CreateChatCompletionRequestMessage = ChatCompletionMessageParam;\n\nexport type ChatCompletionCreateParams =\n | ChatCompletionCreateParamsNonStreaming\n | ChatCompletionCreateParamsStreaming;\n\nexport interface ChatCompletionCreateParamsBase {\n /**\n * A list of messages comprising the conversation so far.\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb).\n */\n messages: Array;\n\n /**\n * ID of the model to use. See the\n * [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table\n * for details on which models work with the Chat API.\n */\n model:\n | (string & {})\n | 'gpt-4'\n | 'gpt-4-0314'\n | 'gpt-4-0613'\n | 'gpt-4-32k'\n | 'gpt-4-32k-0314'\n | 'gpt-4-32k-0613'\n | 'gpt-3.5-turbo'\n | 'gpt-3.5-turbo-16k'\n | 'gpt-3.5-turbo-0301'\n | 'gpt-3.5-turbo-0613'\n | 'gpt-3.5-turbo-16k-0613';\n\n /**\n * Number between -2.0 and 2.0. Positive values penalize new tokens based on their\n * existing frequency in the text so far, decreasing the model's likelihood to\n * repeat the same line verbatim.\n *\n * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)\n */\n frequency_penalty?: number | null;\n\n /**\n * Controls how the model responds to function calls. \"none\" means the model does\n * not call a function, and responds to the end-user. \"auto\" means the model can\n * pick between an end-user or calling a function. Specifying a particular function\n * via `{\"name\":\\ \"my_function\"}` forces the model to call that function. \"none\" is\n * the default when no functions are present. \"auto\" is the default if functions\n * are present.\n */\n function_call?: 'none' | 'auto' | ChatCompletionCreateParams.FunctionCallOption;\n\n /**\n * A list of functions the model may generate JSON inputs for.\n */\n functions?: Array;\n\n /**\n * Modify the likelihood of specified tokens appearing in the completion.\n *\n * Accepts a json object that maps tokens (specified by their token ID in the\n * tokenizer) to an associated bias value from -100 to 100. Mathematically, the\n * bias is added to the logits generated by the model prior to sampling. The exact\n * effect will vary per model, but values between -1 and 1 should decrease or\n * increase likelihood of selection; values like -100 or 100 should result in a ban\n * or exclusive selection of the relevant token.\n */\n logit_bias?: Record | null;\n\n /**\n * The maximum number of [tokens](/tokenizer) to generate in the chat completion.\n *\n * The total length of input tokens and generated tokens is limited by the model's\n * context length.\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb)\n * for counting tokens.\n */\n max_tokens?: number;\n\n /**\n * How many chat completion choices to generate for each input message.\n */\n n?: number | null;\n\n /**\n * Number between -2.0 and 2.0. Positive values penalize new tokens based on\n * whether they appear in the text so far, increasing the model's likelihood to\n * talk about new topics.\n *\n * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)\n */\n presence_penalty?: number | null;\n\n /**\n * Up to 4 sequences where the API will stop generating further tokens.\n */\n stop?: string | null | Array;\n\n /**\n * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be\n * sent as data-only\n * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)\n * as they become available, with the stream terminated by a `data: [DONE]`\n * message.\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb).\n */\n stream?: boolean | null;\n\n /**\n * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will\n * make the output more random, while lower values like 0.2 will make it more\n * focused and deterministic.\n *\n * We generally recommend altering this or `top_p` but not both.\n */\n temperature?: number | null;\n\n /**\n * An alternative to sampling with temperature, called nucleus sampling, where the\n * model considers the results of the tokens with top_p probability mass. So 0.1\n * means only the tokens comprising the top 10% probability mass are considered.\n *\n * We generally recommend altering this or `temperature` but not both.\n */\n top_p?: number | null;\n\n /**\n * A unique identifier representing your end-user, which can help OpenAI to monitor\n * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n */\n user?: string;\n}\n\nexport namespace ChatCompletionCreateParams {\n export interface FunctionCallOption {\n /**\n * The name of the function to call.\n */\n name: string;\n }\n\n export interface Function {\n /**\n * The name of the function to be called. Must be a-z, A-Z, 0-9, or contain\n * underscores and dashes, with a maximum length of 64.\n */\n name: string;\n\n /**\n * The parameters the functions accepts, described as a JSON Schema object. See the\n * [guide](/docs/guides/gpt/function-calling) for examples, and the\n * [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for\n * documentation about the format.\n *\n * To describe a function that accepts no parameters, provide the value\n * `{\"type\": \"object\", \"properties\": {}}`.\n */\n parameters: Record;\n\n /**\n * A description of what the function does, used by the model to choose when and\n * how to call the function.\n */\n description?: string;\n }\n\n export type ChatCompletionCreateParamsNonStreaming = API.ChatCompletionCreateParamsNonStreaming;\n export type ChatCompletionCreateParamsStreaming = API.ChatCompletionCreateParamsStreaming;\n}\n\n/**\n * @deprecated Use ChatCompletionCreateParams instead\n */\nexport type CompletionCreateParams = ChatCompletionCreateParams;\n\nexport interface ChatCompletionCreateParamsNonStreaming extends ChatCompletionCreateParamsBase {\n /**\n * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be\n * sent as data-only\n * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)\n * as they become available, with the stream terminated by a `data: [DONE]`\n * message.\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb).\n */\n stream?: false | null;\n}\n\n/**\n * @deprecated Use ChatCompletionCreateParamsNonStreaming instead\n */\nexport type CompletionCreateParamsNonStreaming = ChatCompletionCreateParamsNonStreaming;\n\nexport interface ChatCompletionCreateParamsStreaming extends ChatCompletionCreateParamsBase {\n /**\n * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be\n * sent as data-only\n * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)\n * as they become available, with the stream terminated by a `data: [DONE]`\n * message.\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb).\n */\n stream: true;\n}\n\n/**\n * @deprecated Use ChatCompletionCreateParamsStreaming instead\n */\nexport type CompletionCreateParamsStreaming = ChatCompletionCreateParamsStreaming;\n\nexport namespace Completions {\n export import ChatCompletion = API.ChatCompletion;\n export import ChatCompletionChunk = API.ChatCompletionChunk;\n export import ChatCompletionMessage = API.ChatCompletionMessage;\n export import ChatCompletionMessageParam = API.ChatCompletionMessageParam;\n export import CreateChatCompletionRequestMessage = API.CreateChatCompletionRequestMessage;\n export import ChatCompletionCreateParams = API.ChatCompletionCreateParams;\n export import CompletionCreateParams = API.CompletionCreateParams;\n export import ChatCompletionCreateParamsNonStreaming = API.ChatCompletionCreateParamsNonStreaming;\n export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming;\n export import ChatCompletionCreateParamsStreaming = API.ChatCompletionCreateParamsStreaming;\n export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport { APIResource } from '../../resource';\nimport { Completions } from './completions';\nimport * as API from './index';\n\nexport class Chat extends APIResource {\n completions: Completions = new Completions(this.client);\n}\n\nexport namespace Chat {\n export import Completions = API.Completions;\n export import ChatCompletion = API.ChatCompletion;\n export import ChatCompletionChunk = API.ChatCompletionChunk;\n export import ChatCompletionMessage = API.ChatCompletionMessage;\n export import ChatCompletionMessageParam = API.ChatCompletionMessageParam;\n export import CreateChatCompletionRequestMessage = API.CreateChatCompletionRequestMessage;\n export import ChatCompletionCreateParams = API.ChatCompletionCreateParams;\n export import CompletionCreateParams = API.CompletionCreateParams;\n export import ChatCompletionCreateParamsNonStreaming = API.ChatCompletionCreateParamsNonStreaming;\n export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming;\n export import ChatCompletionCreateParamsStreaming = API.ChatCompletionCreateParamsStreaming;\n export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../core';\nimport { APIPromise } from '../core';\nimport { APIResource } from '../resource';\nimport * as API from './index';\nimport { Stream } from '../streaming';\n\nexport class Completions extends APIResource {\n /**\n * Creates a completion for the provided prompt and parameters.\n */\n create(body: CompletionCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise;\n create(\n body: CompletionCreateParamsStreaming,\n options?: Core.RequestOptions,\n ): APIPromise>;\n create(\n body: CompletionCreateParamsBase,\n options?: Core.RequestOptions,\n ): APIPromise | Completion>;\n create(\n body: CompletionCreateParams,\n options?: Core.RequestOptions,\n ): APIPromise | APIPromise> {\n return this.post('/completions', { body, ...options, stream: body.stream ?? false }) as\n | APIPromise\n | APIPromise>;\n }\n}\n\n/**\n * Represents a completion response from the API. Note: both the streamed and\n * non-streamed response objects share the same shape (unlike the chat endpoint).\n */\nexport interface Completion {\n /**\n * A unique identifier for the completion.\n */\n id: string;\n\n /**\n * The list of completion choices the model generated for the input prompt.\n */\n choices: Array;\n\n /**\n * The Unix timestamp of when the completion was created.\n */\n created: number;\n\n /**\n * The model used for completion.\n */\n model: string;\n\n /**\n * The object type, which is always \"text_completion\"\n */\n object: string;\n\n /**\n * Usage statistics for the completion request.\n */\n usage?: CompletionUsage;\n}\n\nexport interface CompletionChoice {\n /**\n * The reason the model stopped generating tokens. This will be `stop` if the model\n * hit a natural stop point or a provided stop sequence, or `length` if the maximum\n * number of tokens specified in the request was reached.\n */\n finish_reason: 'stop' | 'length';\n\n index: number;\n\n logprobs: CompletionChoice.Logprobs | null;\n\n text: string;\n}\n\nexport namespace CompletionChoice {\n export interface Logprobs {\n text_offset?: Array;\n\n token_logprobs?: Array;\n\n tokens?: Array;\n\n top_logprobs?: Array>;\n }\n}\n\n/**\n * Usage statistics for the completion request.\n */\nexport interface CompletionUsage {\n /**\n * Number of tokens in the generated completion.\n */\n completion_tokens: number;\n\n /**\n * Number of tokens in the prompt.\n */\n prompt_tokens: number;\n\n /**\n * Total number of tokens used in the request (prompt + completion).\n */\n total_tokens: number;\n}\n\nexport type CompletionCreateParams = CompletionCreateParamsNonStreaming | CompletionCreateParamsStreaming;\n\nexport interface CompletionCreateParamsBase {\n /**\n * ID of the model to use. You can use the\n * [List models](/docs/api-reference/models/list) API to see all of your available\n * models, or see our [Model overview](/docs/models/overview) for descriptions of\n * them.\n */\n model:\n | (string & {})\n | 'babbage-002'\n | 'davinci-002'\n | 'text-davinci-003'\n | 'text-davinci-002'\n | 'text-davinci-001'\n | 'code-davinci-002'\n | 'text-curie-001'\n | 'text-babbage-001'\n | 'text-ada-001';\n\n /**\n * The prompt(s) to generate completions for, encoded as a string, array of\n * strings, array of tokens, or array of token arrays.\n *\n * Note that <|endoftext|> is the document separator that the model sees during\n * training, so if a prompt is not specified the model will generate as if from the\n * beginning of a new document.\n */\n prompt: string | Array | Array | Array> | null;\n\n /**\n * Generates `best_of` completions server-side and returns the \"best\" (the one with\n * the highest log probability per token). Results cannot be streamed.\n *\n * When used with `n`, `best_of` controls the number of candidate completions and\n * `n` specifies how many to return – `best_of` must be greater than `n`.\n *\n * **Note:** Because this parameter generates many completions, it can quickly\n * consume your token quota. Use carefully and ensure that you have reasonable\n * settings for `max_tokens` and `stop`.\n */\n best_of?: number | null;\n\n /**\n * Echo back the prompt in addition to the completion\n */\n echo?: boolean | null;\n\n /**\n * Number between -2.0 and 2.0. Positive values penalize new tokens based on their\n * existing frequency in the text so far, decreasing the model's likelihood to\n * repeat the same line verbatim.\n *\n * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)\n */\n frequency_penalty?: number | null;\n\n /**\n * Modify the likelihood of specified tokens appearing in the completion.\n *\n * Accepts a json object that maps tokens (specified by their token ID in the GPT\n * tokenizer) to an associated bias value from -100 to 100. You can use this\n * [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to\n * convert text to token IDs. Mathematically, the bias is added to the logits\n * generated by the model prior to sampling. The exact effect will vary per model,\n * but values between -1 and 1 should decrease or increase likelihood of selection;\n * values like -100 or 100 should result in a ban or exclusive selection of the\n * relevant token.\n *\n * As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token\n * from being generated.\n */\n logit_bias?: Record | null;\n\n /**\n * Include the log probabilities on the `logprobs` most likely tokens, as well the\n * chosen tokens. For example, if `logprobs` is 5, the API will return a list of\n * the 5 most likely tokens. The API will always return the `logprob` of the\n * sampled token, so there may be up to `logprobs+1` elements in the response.\n *\n * The maximum value for `logprobs` is 5.\n */\n logprobs?: number | null;\n\n /**\n * The maximum number of [tokens](/tokenizer) to generate in the completion.\n *\n * The token count of your prompt plus `max_tokens` cannot exceed the model's\n * context length.\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb)\n * for counting tokens.\n */\n max_tokens?: number | null;\n\n /**\n * How many completions to generate for each prompt.\n *\n * **Note:** Because this parameter generates many completions, it can quickly\n * consume your token quota. Use carefully and ensure that you have reasonable\n * settings for `max_tokens` and `stop`.\n */\n n?: number | null;\n\n /**\n * Number between -2.0 and 2.0. Positive values penalize new tokens based on\n * whether they appear in the text so far, increasing the model's likelihood to\n * talk about new topics.\n *\n * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)\n */\n presence_penalty?: number | null;\n\n /**\n * Up to 4 sequences where the API will stop generating further tokens. The\n * returned text will not contain the stop sequence.\n */\n stop?: string | null | Array;\n\n /**\n * Whether to stream back partial progress. If set, tokens will be sent as\n * data-only\n * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)\n * as they become available, with the stream terminated by a `data: [DONE]`\n * message.\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb).\n */\n stream?: boolean | null;\n\n /**\n * The suffix that comes after a completion of inserted text.\n */\n suffix?: string | null;\n\n /**\n * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will\n * make the output more random, while lower values like 0.2 will make it more\n * focused and deterministic.\n *\n * We generally recommend altering this or `top_p` but not both.\n */\n temperature?: number | null;\n\n /**\n * An alternative to sampling with temperature, called nucleus sampling, where the\n * model considers the results of the tokens with top_p probability mass. So 0.1\n * means only the tokens comprising the top 10% probability mass are considered.\n *\n * We generally recommend altering this or `temperature` but not both.\n */\n top_p?: number | null;\n\n /**\n * A unique identifier representing your end-user, which can help OpenAI to monitor\n * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n */\n user?: string;\n}\n\nexport namespace CompletionCreateParams {\n export type CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming;\n export type CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming;\n}\n\nexport interface CompletionCreateParamsNonStreaming extends CompletionCreateParamsBase {\n /**\n * Whether to stream back partial progress. If set, tokens will be sent as\n * data-only\n * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)\n * as they become available, with the stream terminated by a `data: [DONE]`\n * message.\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb).\n */\n stream?: false | null;\n}\n\nexport interface CompletionCreateParamsStreaming extends CompletionCreateParamsBase {\n /**\n * Whether to stream back partial progress. If set, tokens will be sent as\n * data-only\n * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)\n * as they become available, with the stream terminated by a `data: [DONE]`\n * message.\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb).\n */\n stream: true;\n}\n\nexport namespace Completions {\n export import Completion = API.Completion;\n export import CompletionChoice = API.CompletionChoice;\n export import CompletionUsage = API.CompletionUsage;\n export import CompletionCreateParams = API.CompletionCreateParams;\n export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming;\n export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../core';\nimport { APIResource } from '../resource';\nimport * as API from './index';\n\nexport class Embeddings extends APIResource {\n /**\n * Creates an embedding vector representing the input text.\n */\n create(\n body: EmbeddingCreateParams,\n options?: Core.RequestOptions,\n ): Core.APIPromise {\n return this.post('/embeddings', { body, ...options });\n }\n}\n\nexport interface CreateEmbeddingResponse {\n /**\n * The list of embeddings generated by the model.\n */\n data: Array;\n\n /**\n * The name of the model used to generate the embedding.\n */\n model: string;\n\n /**\n * The object type, which is always \"embedding\".\n */\n object: string;\n\n /**\n * The usage information for the request.\n */\n usage: CreateEmbeddingResponse.Usage;\n}\n\nexport namespace CreateEmbeddingResponse {\n /**\n * The usage information for the request.\n */\n export interface Usage {\n /**\n * The number of tokens used by the prompt.\n */\n prompt_tokens: number;\n\n /**\n * The total number of tokens used by the request.\n */\n total_tokens: number;\n }\n}\n\n/**\n * Represents an embedding vector returned by embedding endpoint.\n */\nexport interface Embedding {\n /**\n * The embedding vector, which is a list of floats. The length of vector depends on\n * the model as listed in the [embedding guide](/docs/guides/embeddings).\n */\n embedding: Array;\n\n /**\n * The index of the embedding in the list of embeddings.\n */\n index: number;\n\n /**\n * The object type, which is always \"embedding\".\n */\n object: string;\n}\n\nexport interface EmbeddingCreateParams {\n /**\n * Input text to embed, encoded as a string or array of tokens. To embed multiple\n * inputs in a single request, pass an array of strings or array of token arrays.\n * Each input must not exceed the max input tokens for the model (8191 tokens for\n * `text-embedding-ada-002`).\n * [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb)\n * for counting tokens.\n */\n input: string | Array | Array | Array>;\n\n /**\n * ID of the model to use. You can use the\n * [List models](/docs/api-reference/models/list) API to see all of your available\n * models, or see our [Model overview](/docs/models/overview) for descriptions of\n * them.\n */\n model: (string & {}) | 'text-embedding-ada-002';\n\n /**\n * A unique identifier representing your end-user, which can help OpenAI to monitor\n * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n */\n user?: string;\n}\n\nexport namespace Embeddings {\n export import CreateEmbeddingResponse = API.CreateEmbeddingResponse;\n export import Embedding = API.Embedding;\n export import EmbeddingCreateParams = API.EmbeddingCreateParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../core';\nimport { APIResource } from '../resource';\nimport * as Completions from './completions';\nimport * as API from './index';\n\nexport class Edits extends APIResource {\n /**\n * Creates a new edit for the provided input, instruction, and parameters.\n *\n * @deprecated The Edits API is deprecated; please use Chat Completions instead.\n *\n * https://openai.com/blog/gpt-4-api-general-availability#deprecation-of-the-edits-api\n */\n create(body: EditCreateParams, options?: Core.RequestOptions): Core.APIPromise {\n return this.post('/edits', { body, ...options });\n }\n}\n\nexport interface Edit {\n /**\n * A list of edit choices. Can be more than one if `n` is greater than 1.\n */\n choices: Array;\n\n /**\n * A unix timestamp of when the edit was created.\n */\n created: number;\n\n /**\n * The object type, which is always `edit`.\n */\n object: string;\n\n /**\n * Usage statistics for the completion request.\n */\n usage: Completions.CompletionUsage;\n}\n\nexport namespace Edit {\n export interface Choice {\n /**\n * The reason the model stopped generating tokens. This will be `stop` if the model\n * hit a natural stop point or a provided stop sequence, or `length` if the maximum\n * number of tokens specified in the request was reached.\n */\n finish_reason: 'stop' | 'length';\n\n /**\n * The index of the choice in the list of choices.\n */\n index: number;\n\n /**\n * The edited result.\n */\n text: string;\n }\n}\n\nexport interface EditCreateParams {\n /**\n * The instruction that tells the model how to edit the prompt.\n */\n instruction: string;\n\n /**\n * ID of the model to use. You can use the `text-davinci-edit-001` or\n * `code-davinci-edit-001` model with this endpoint.\n */\n model: (string & {}) | 'text-davinci-edit-001' | 'code-davinci-edit-001';\n\n /**\n * The input text to use as a starting point for the edit.\n */\n input?: string | null;\n\n /**\n * How many edits to generate for the input and instruction.\n */\n n?: number | null;\n\n /**\n * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will\n * make the output more random, while lower values like 0.2 will make it more\n * focused and deterministic.\n *\n * We generally recommend altering this or `top_p` but not both.\n */\n temperature?: number | null;\n\n /**\n * An alternative to sampling with temperature, called nucleus sampling, where the\n * model considers the results of the tokens with top_p probability mass. So 0.1\n * means only the tokens comprising the top 10% probability mass are considered.\n *\n * We generally recommend altering this or `temperature` but not both.\n */\n top_p?: number | null;\n}\n\nexport namespace Edits {\n export import Edit = API.Edit;\n export import EditCreateParams = API.EditCreateParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../core';\nimport { APIResource } from '../resource';\nimport * as API from './index';\nimport { type Uploadable, multipartFormRequestOptions } from '../core';\nimport { Page } from '../pagination';\n\nexport class Files extends APIResource {\n /**\n * Upload a file that contains document(s) to be used across various\n * endpoints/features. Currently, the size of all the files uploaded by one\n * organization can be up to 1 GB. Please contact us if you need to increase the\n * storage limit.\n */\n create(body: FileCreateParams, options?: Core.RequestOptions): Core.APIPromise {\n return this.post('/files', multipartFormRequestOptions({ body, ...options }));\n }\n\n /**\n * Returns information about a specific file.\n */\n retrieve(fileId: string, options?: Core.RequestOptions): Core.APIPromise {\n return this.get(`/files/${fileId}`, options);\n }\n\n /**\n * Returns a list of files that belong to the user's organization.\n */\n list(options?: Core.RequestOptions): Core.PagePromise {\n return this.getAPIList('/files', FileObjectsPage, options);\n }\n\n /**\n * Delete a file.\n */\n del(fileId: string, options?: Core.RequestOptions): Core.APIPromise {\n return this.delete(`/files/${fileId}`, options);\n }\n\n /**\n * Returns the contents of the specified file\n */\n retrieveContent(fileId: string, options?: Core.RequestOptions): Core.APIPromise {\n return this.get(`/files/${fileId}/content`, {\n ...options,\n headers: { Accept: 'application/json', ...options?.headers },\n });\n }\n}\n\n/**\n * Note: no pagination actually occurs yet, this is for forwards-compatibility.\n */\nexport class FileObjectsPage extends Page {}\n// alias so we can export it in the namespace\ntype _FileObjectsPage = FileObjectsPage;\n\nexport type FileContent = string;\n\nexport interface FileDeleted {\n id: string;\n\n deleted: boolean;\n\n object: string;\n}\n\n/**\n * The `File` object represents a document that has been uploaded to OpenAI.\n */\nexport interface FileObject {\n /**\n * The file identifier, which can be referenced in the API endpoints.\n */\n id: string;\n\n /**\n * The size of the file in bytes.\n */\n bytes: number;\n\n /**\n * The unix timestamp for when the file was created.\n */\n created_at: number;\n\n /**\n * The name of the file.\n */\n filename: string;\n\n /**\n * The object type, which is always \"file\".\n */\n object: string;\n\n /**\n * The intended purpose of the file. Currently, only \"fine-tune\" is supported.\n */\n purpose: string;\n\n /**\n * The current status of the file, which can be either `uploaded`, `processed`,\n * `pending`, `error`, `deleting` or `deleted`.\n */\n status?: string;\n\n /**\n * Additional details about the status of the file. If the file is in the `error`\n * state, this will include a message describing the error.\n */\n status_details?: string | null;\n}\n\nexport interface FileCreateParams {\n /**\n * Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be\n * uploaded.\n *\n * If the `purpose` is set to \"fine-tune\", the file will be used for fine-tuning.\n */\n file: Uploadable;\n\n /**\n * The intended purpose of the uploaded documents.\n *\n * Use \"fine-tune\" for [fine-tuning](/docs/api-reference/fine-tuning). This allows\n * us to validate the format of the uploaded file.\n */\n purpose: string;\n}\n\nexport namespace Files {\n export import FileContent = API.FileContent;\n export import FileDeleted = API.FileDeleted;\n export import FileObject = API.FileObject;\n export type FileObjectsPage = _FileObjectsPage;\n export import FileCreateParams = API.FileCreateParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../core';\nimport { APIPromise } from '../core';\nimport { APIResource } from '../resource';\nimport * as Files from './files';\nimport * as API from './index';\nimport { Page } from '../pagination';\nimport { Stream } from '../streaming';\n\nexport class FineTunes extends APIResource {\n /**\n * Creates a job that fine-tunes a specified model from a given dataset.\n *\n * Response includes details of the enqueued job including job status and the name\n * of the fine-tuned models once complete.\n *\n * [Learn more about fine-tuning](/docs/guides/legacy-fine-tuning)\n */\n create(body: FineTuneCreateParams, options?: Core.RequestOptions): Core.APIPromise {\n return this.post('/fine-tunes', { body, ...options });\n }\n\n /**\n * Gets info about the fine-tune job.\n *\n * [Learn more about fine-tuning](/docs/guides/legacy-fine-tuning)\n */\n retrieve(fineTuneId: string, options?: Core.RequestOptions): Core.APIPromise {\n return this.get(`/fine-tunes/${fineTuneId}`, options);\n }\n\n /**\n * List your organization's fine-tuning jobs\n */\n list(options?: Core.RequestOptions): Core.PagePromise {\n return this.getAPIList('/fine-tunes', FineTunesPage, options);\n }\n\n /**\n * Immediately cancel a fine-tune job.\n */\n cancel(fineTuneId: string, options?: Core.RequestOptions): Core.APIPromise {\n return this.post(`/fine-tunes/${fineTuneId}/cancel`, options);\n }\n\n /**\n * Get fine-grained status updates for a fine-tune job.\n */\n listEvents(\n fineTuneId: string,\n query?: FineTuneListEventsParamsNonStreaming,\n options?: Core.RequestOptions,\n ): APIPromise;\n listEvents(\n fineTuneId: string,\n query: FineTuneListEventsParamsStreaming,\n options?: Core.RequestOptions,\n ): APIPromise>;\n listEvents(\n fineTuneId: string,\n query?: FineTuneListEventsParamsBase | undefined,\n options?: Core.RequestOptions,\n ): APIPromise | FineTuneEventsListResponse>;\n listEvents(\n fineTuneId: string,\n query?: FineTuneListEventsParams | undefined,\n options?: Core.RequestOptions,\n ): APIPromise | APIPromise> {\n return this.get(`/fine-tunes/${fineTuneId}/events`, {\n query,\n timeout: 86400000,\n ...options,\n stream: query?.stream ?? false,\n }) as APIPromise | APIPromise>;\n }\n}\n\n/**\n * Note: no pagination actually occurs yet, this is for forwards-compatibility.\n */\nexport class FineTunesPage extends Page {}\n// alias so we can export it in the namespace\ntype _FineTunesPage = FineTunesPage;\n\n/**\n * The `FineTune` object represents a legacy fine-tune job that has been created\n * through the API.\n */\nexport interface FineTune {\n /**\n * The object identifier, which can be referenced in the API endpoints.\n */\n id: string;\n\n /**\n * The unix timestamp for when the fine-tuning job was created.\n */\n created_at: number;\n\n /**\n * The name of the fine-tuned model that is being created.\n */\n fine_tuned_model: string | null;\n\n /**\n * The hyperparameters used for the fine-tuning job. See the\n * [fine-tuning guide](/docs/guides/legacy-fine-tuning/hyperparameters) for more\n * details.\n */\n hyperparams: FineTune.Hyperparams;\n\n /**\n * The base model that is being fine-tuned.\n */\n model: string;\n\n /**\n * The object type, which is always \"fine-tune\".\n */\n object: string;\n\n /**\n * The organization that owns the fine-tuning job.\n */\n organization_id: string;\n\n /**\n * The compiled results files for the fine-tuning job.\n */\n result_files: Array;\n\n /**\n * The current status of the fine-tuning job, which can be either `created`,\n * `running`, `succeeded`, `failed`, or `cancelled`.\n */\n status: string;\n\n /**\n * The list of files used for training.\n */\n training_files: Array;\n\n /**\n * The unix timestamp for when the fine-tuning job was last updated.\n */\n updated_at: number;\n\n /**\n * The list of files used for validation.\n */\n validation_files: Array;\n\n /**\n * The list of events that have been observed in the lifecycle of the FineTune job.\n */\n events?: Array;\n}\n\nexport namespace FineTune {\n /**\n * The hyperparameters used for the fine-tuning job. See the\n * [fine-tuning guide](/docs/guides/legacy-fine-tuning/hyperparameters) for more\n * details.\n */\n export interface Hyperparams {\n /**\n * The batch size to use for training. The batch size is the number of training\n * examples used to train a single forward and backward pass.\n */\n batch_size: number;\n\n /**\n * The learning rate multiplier to use for training.\n */\n learning_rate_multiplier: number;\n\n /**\n * The number of epochs to train the model for. An epoch refers to one full cycle\n * through the training dataset.\n */\n n_epochs: number;\n\n /**\n * The weight to use for loss on the prompt tokens.\n */\n prompt_loss_weight: number;\n\n /**\n * The number of classes to use for computing classification metrics.\n */\n classification_n_classes?: number;\n\n /**\n * The positive class to use for computing classification metrics.\n */\n classification_positive_class?: string;\n\n /**\n * The classification metrics to compute using the validation dataset at the end of\n * every epoch.\n */\n compute_classification_metrics?: boolean;\n }\n}\n\nexport interface FineTuneEvent {\n created_at: number;\n\n level: string;\n\n message: string;\n\n object: string;\n}\n\nexport interface FineTuneEventsListResponse {\n data: Array;\n\n object: string;\n}\n\nexport interface FineTuneCreateParams {\n /**\n * The ID of an uploaded file that contains training data.\n *\n * See [upload file](/docs/api-reference/files/upload) for how to upload a file.\n *\n * Your dataset must be formatted as a JSONL file, where each training example is a\n * JSON object with the keys \"prompt\" and \"completion\". Additionally, you must\n * upload your file with the purpose `fine-tune`.\n *\n * See the\n * [fine-tuning guide](/docs/guides/legacy-fine-tuning/creating-training-data) for\n * more details.\n */\n training_file: string;\n\n /**\n * The batch size to use for training. The batch size is the number of training\n * examples used to train a single forward and backward pass.\n *\n * By default, the batch size will be dynamically configured to be ~0.2% of the\n * number of examples in the training set, capped at 256 - in general, we've found\n * that larger batch sizes tend to work better for larger datasets.\n */\n batch_size?: number | null;\n\n /**\n * If this is provided, we calculate F-beta scores at the specified beta values.\n * The F-beta score is a generalization of F-1 score. This is only used for binary\n * classification.\n *\n * With a beta of 1 (i.e. the F-1 score), precision and recall are given the same\n * weight. A larger beta score puts more weight on recall and less on precision. A\n * smaller beta score puts more weight on precision and less on recall.\n */\n classification_betas?: Array | null;\n\n /**\n * The number of classes in a classification task.\n *\n * This parameter is required for multiclass classification.\n */\n classification_n_classes?: number | null;\n\n /**\n * The positive class in binary classification.\n *\n * This parameter is needed to generate precision, recall, and F1 metrics when\n * doing binary classification.\n */\n classification_positive_class?: string | null;\n\n /**\n * If set, we calculate classification-specific metrics such as accuracy and F-1\n * score using the validation set at the end of every epoch. These metrics can be\n * viewed in the\n * [results file](/docs/guides/legacy-fine-tuning/analyzing-your-fine-tuned-model).\n *\n * In order to compute classification metrics, you must provide a\n * `validation_file`. Additionally, you must specify `classification_n_classes` for\n * multiclass classification or `classification_positive_class` for binary\n * classification.\n */\n compute_classification_metrics?: boolean | null;\n\n /**\n * The learning rate multiplier to use for training. The fine-tuning learning rate\n * is the original learning rate used for pretraining multiplied by this value.\n *\n * By default, the learning rate multiplier is the 0.05, 0.1, or 0.2 depending on\n * final `batch_size` (larger learning rates tend to perform better with larger\n * batch sizes). We recommend experimenting with values in the range 0.02 to 0.2 to\n * see what produces the best results.\n */\n learning_rate_multiplier?: number | null;\n\n /**\n * The name of the base model to fine-tune. You can select one of \"ada\", \"babbage\",\n * \"curie\", \"davinci\", or a fine-tuned model created after 2022-04-21 and before\n * 2023-08-22. To learn more about these models, see the [Models](/docs/models)\n * documentation.\n */\n model?: (string & {}) | 'ada' | 'babbage' | 'curie' | 'davinci' | null;\n\n /**\n * The number of epochs to train the model for. An epoch refers to one full cycle\n * through the training dataset.\n */\n n_epochs?: number | null;\n\n /**\n * The weight to use for loss on the prompt tokens. This controls how much the\n * model tries to learn to generate the prompt (as compared to the completion which\n * always has a weight of 1.0), and can add a stabilizing effect to training when\n * completions are short.\n *\n * If prompts are extremely long (relative to completions), it may make sense to\n * reduce this weight so as to avoid over-prioritizing learning the prompt.\n */\n prompt_loss_weight?: number | null;\n\n /**\n * A string of up to 40 characters that will be added to your fine-tuned model\n * name.\n *\n * For example, a `suffix` of \"custom-model-name\" would produce a model name like\n * `ada:ft-your-org:custom-model-name-2022-02-15-04-21-04`.\n */\n suffix?: string | null;\n\n /**\n * The ID of an uploaded file that contains validation data.\n *\n * If you provide this file, the data is used to generate validation metrics\n * periodically during fine-tuning. These metrics can be viewed in the\n * [fine-tuning results file](/docs/guides/legacy-fine-tuning/analyzing-your-fine-tuned-model).\n * Your train and validation data should be mutually exclusive.\n *\n * Your dataset must be formatted as a JSONL file, where each validation example is\n * a JSON object with the keys \"prompt\" and \"completion\". Additionally, you must\n * upload your file with the purpose `fine-tune`.\n *\n * See the\n * [fine-tuning guide](/docs/guides/legacy-fine-tuning/creating-training-data) for\n * more details.\n */\n validation_file?: string | null;\n}\n\nexport type FineTuneListEventsParams =\n | FineTuneListEventsParamsNonStreaming\n | FineTuneListEventsParamsStreaming;\n\nexport interface FineTuneListEventsParamsBase {\n /**\n * Whether to stream events for the fine-tune job. If set to true, events will be\n * sent as data-only\n * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)\n * as they become available. The stream will terminate with a `data: [DONE]`\n * message when the job is finished (succeeded, cancelled, or failed).\n *\n * If set to false, only events generated so far will be returned.\n */\n stream?: boolean;\n}\n\nexport namespace FineTuneListEventsParams {\n export type FineTuneListEventsParamsNonStreaming = API.FineTuneListEventsParamsNonStreaming;\n export type FineTuneListEventsParamsStreaming = API.FineTuneListEventsParamsStreaming;\n}\n\nexport interface FineTuneListEventsParamsNonStreaming extends FineTuneListEventsParamsBase {\n /**\n * Whether to stream events for the fine-tune job. If set to true, events will be\n * sent as data-only\n * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)\n * as they become available. The stream will terminate with a `data: [DONE]`\n * message when the job is finished (succeeded, cancelled, or failed).\n *\n * If set to false, only events generated so far will be returned.\n */\n stream?: false;\n}\n\nexport interface FineTuneListEventsParamsStreaming extends FineTuneListEventsParamsBase {\n /**\n * Whether to stream events for the fine-tune job. If set to true, events will be\n * sent as data-only\n * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)\n * as they become available. The stream will terminate with a `data: [DONE]`\n * message when the job is finished (succeeded, cancelled, or failed).\n *\n * If set to false, only events generated so far will be returned.\n */\n stream: true;\n}\n\nexport namespace FineTunes {\n export import FineTune = API.FineTune;\n export import FineTuneEvent = API.FineTuneEvent;\n export import FineTuneEventsListResponse = API.FineTuneEventsListResponse;\n export type FineTunesPage = _FineTunesPage;\n export import FineTuneCreateParams = API.FineTuneCreateParams;\n export import FineTuneListEventsParams = API.FineTuneListEventsParams;\n export import FineTuneListEventsParamsNonStreaming = API.FineTuneListEventsParamsNonStreaming;\n export import FineTuneListEventsParamsStreaming = API.FineTuneListEventsParamsStreaming;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../../core';\nimport { APIResource } from '../../resource';\nimport { isRequestOptions } from '../../core';\nimport * as Files from '../files';\nimport * as API from './index';\nimport { CursorPage, CursorPageParams } from '../../pagination';\n\nexport class Jobs extends APIResource {\n /**\n * Creates a job that fine-tunes a specified model from a given dataset.\n *\n * Response includes details of the enqueued job including job status and the name\n * of the fine-tuned models once complete.\n *\n * [Learn more about fine-tuning](/docs/guides/fine-tuning)\n */\n create(body: JobCreateParams, options?: Core.RequestOptions): Core.APIPromise {\n return this.post('/fine_tuning/jobs', { body, ...options });\n }\n\n /**\n * Get info about a fine-tuning job.\n *\n * [Learn more about fine-tuning](/docs/guides/fine-tuning)\n */\n retrieve(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise {\n return this.get(`/fine_tuning/jobs/${fineTuningJobId}`, options);\n }\n\n /**\n * List your organization's fine-tuning jobs\n */\n list(\n query?: JobListParams,\n options?: Core.RequestOptions,\n ): Core.PagePromise;\n list(options?: Core.RequestOptions): Core.PagePromise;\n list(\n query: JobListParams | Core.RequestOptions = {},\n options?: Core.RequestOptions,\n ): Core.PagePromise {\n if (isRequestOptions(query)) {\n return this.list({}, query);\n }\n return this.getAPIList('/fine_tuning/jobs', FineTuningJobsPage, { query, ...options });\n }\n\n /**\n * Immediately cancel a fine-tune job.\n */\n cancel(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise {\n return this.post(`/fine_tuning/jobs/${fineTuningJobId}/cancel`, options);\n }\n\n /**\n * Get status updates for a fine-tuning job.\n */\n listEvents(\n fineTuningJobId: string,\n query?: JobListEventsParams,\n options?: Core.RequestOptions,\n ): Core.PagePromise;\n listEvents(\n fineTuningJobId: string,\n options?: Core.RequestOptions,\n ): Core.PagePromise;\n listEvents(\n fineTuningJobId: string,\n query: JobListEventsParams | Core.RequestOptions = {},\n options?: Core.RequestOptions,\n ): Core.PagePromise {\n if (isRequestOptions(query)) {\n return this.listEvents(fineTuningJobId, {}, query);\n }\n return this.getAPIList(`/fine_tuning/jobs/${fineTuningJobId}/events`, FineTuningJobEventsPage, {\n query,\n ...options,\n });\n }\n}\n\nexport class FineTuningJobsPage extends CursorPage {}\n// alias so we can export it in the namespace\ntype _FineTuningJobsPage = FineTuningJobsPage;\n\nexport class FineTuningJobEventsPage extends CursorPage {}\n// alias so we can export it in the namespace\ntype _FineTuningJobEventsPage = FineTuningJobEventsPage;\n\n/**\n * The `fine_tuning.job` object represents a fine-tuning job that has been created\n * through the API.\n */\nexport interface FineTuningJob {\n /**\n * The object identifier, which can be referenced in the API endpoints.\n */\n id: string;\n\n /**\n * The unix timestamp for when the fine-tuning job was created.\n */\n created_at: number;\n\n /**\n * The name of the fine-tuned model that is being created.\n */\n fine_tuned_model: string | null;\n\n /**\n * The hyperparameters used for the fine-tuning job. See the\n * [fine-tuning guide](/docs/guides/fine-tuning) for more details.\n */\n hyperparameters: FineTuningJob.Hyperparameters;\n\n /**\n * The base model that is being fine-tuned.\n */\n model: string;\n\n /**\n * The object type, which is always \"fine_tuning.job\".\n */\n object: string;\n\n /**\n * The organization that owns the fine-tuning job.\n */\n organization_id: string;\n\n /**\n * The compiled results files for the fine-tuning job.\n */\n result_files: Array;\n\n /**\n * The current status of the fine-tuning job, which can be either `created`,\n * `pending`, `running`, `succeeded`, `failed`, or `cancelled`.\n */\n status: string;\n\n /**\n * The total number of billable tokens processed by this fine tuning job.\n */\n trained_tokens: number;\n\n /**\n * The file ID used for training.\n */\n training_file: string;\n\n /**\n * The file ID used for validation.\n */\n validation_file: string;\n\n /**\n * The unix timestamp for when the fine-tuning job was finished.\n */\n finished_at?: number;\n}\n\nexport namespace FineTuningJob {\n /**\n * The hyperparameters used for the fine-tuning job. See the\n * [fine-tuning guide](/docs/guides/fine-tuning) for more details.\n */\n export interface Hyperparameters {\n /**\n * The number of epochs to train the model for. An epoch refers to one full cycle\n * through the training dataset. \"Auto\" decides the optimal number of epochs based\n * on the size of the dataset. If setting the number manually, we support any\n * number between 1 and 50 epochs.\n */\n n_epochs?: 'auto' | number;\n }\n}\n\nexport interface FineTuningJobEvent {\n id: string;\n\n created_at: number;\n\n level: 'info' | 'warn' | 'error';\n\n message: string;\n\n object: string;\n}\n\nexport interface JobCreateParams {\n /**\n * The name of the model to fine-tune. You can select one of the\n * [supported models](/docs/guides/fine-tuning/what-models-can-be-fine-tuned).\n */\n model: (string & {}) | 'babbage-002' | 'davinci-002' | 'gpt-3.5-turbo';\n\n /**\n * The ID of an uploaded file that contains training data.\n *\n * See [upload file](/docs/api-reference/files/upload) for how to upload a file.\n *\n * Your dataset must be formatted as a JSONL file. Additionally, you must upload\n * your file with the purpose `fine-tune`.\n *\n * See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.\n */\n training_file: string;\n\n /**\n * The hyperparameters used for the fine-tuning job.\n */\n hyperparameters?: JobCreateParams.Hyperparameters;\n\n /**\n * A string of up to 40 characters that will be added to your fine-tuned model\n * name.\n *\n * For example, a `suffix` of \"custom-model-name\" would produce a model name like\n * `ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel`.\n */\n suffix?: string | null;\n\n /**\n * The ID of an uploaded file that contains validation data.\n *\n * If you provide this file, the data is used to generate validation metrics\n * periodically during fine-tuning. These metrics can be viewed in the fine-tuning\n * results file. The same data should not be present in both train and validation\n * files.\n *\n * Your dataset must be formatted as a JSONL file. You must upload your file with\n * the purpose `fine-tune`.\n *\n * See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.\n */\n validation_file?: string | null;\n}\n\nexport namespace JobCreateParams {\n /**\n * The hyperparameters used for the fine-tuning job.\n */\n export interface Hyperparameters {\n /**\n * The number of epochs to train the model for. An epoch refers to one full cycle\n * through the training dataset.\n */\n n_epochs?: 'auto' | number;\n }\n}\n\nexport interface JobListParams extends CursorPageParams {}\n\nexport interface JobListEventsParams extends CursorPageParams {}\n\nexport namespace Jobs {\n export import FineTuningJob = API.FineTuningJob;\n export import FineTuningJobEvent = API.FineTuningJobEvent;\n export type FineTuningJobsPage = _FineTuningJobsPage;\n export type FineTuningJobEventsPage = _FineTuningJobEventsPage;\n export import JobCreateParams = API.JobCreateParams;\n export import JobListParams = API.JobListParams;\n export import JobListEventsParams = API.JobListEventsParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport { APIResource } from '../../resource';\nimport { Jobs } from './jobs';\nimport * as API from './index';\n\nexport class FineTuning extends APIResource {\n jobs: Jobs = new Jobs(this.client);\n}\n\nexport namespace FineTuning {\n export import Jobs = API.Jobs;\n export import FineTuningJob = API.FineTuningJob;\n export import FineTuningJobEvent = API.FineTuningJobEvent;\n export import FineTuningJobsPage = API.FineTuningJobsPage;\n export import FineTuningJobEventsPage = API.FineTuningJobEventsPage;\n export import JobCreateParams = API.JobCreateParams;\n export import JobListParams = API.JobListParams;\n export import JobListEventsParams = API.JobListEventsParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../core';\nimport { APIResource } from '../resource';\nimport * as API from './index';\nimport { type Uploadable, multipartFormRequestOptions } from '../core';\n\nexport class Images extends APIResource {\n /**\n * Creates a variation of a given image.\n */\n createVariation(\n body: ImageCreateVariationParams,\n options?: Core.RequestOptions,\n ): Core.APIPromise {\n return this.post('/images/variations', multipartFormRequestOptions({ body, ...options }));\n }\n\n /**\n * Creates an edited or extended image given an original image and a prompt.\n */\n edit(body: ImageEditParams, options?: Core.RequestOptions): Core.APIPromise {\n return this.post('/images/edits', multipartFormRequestOptions({ body, ...options }));\n }\n\n /**\n * Creates an image given a prompt.\n */\n generate(body: ImageGenerateParams, options?: Core.RequestOptions): Core.APIPromise {\n return this.post('/images/generations', { body, ...options });\n }\n}\n\n/**\n * Represents the url or the content of an image generated by the OpenAI API.\n */\nexport interface Image {\n /**\n * The base64-encoded JSON of the generated image, if `response_format` is\n * `b64_json`.\n */\n b64_json?: string;\n\n /**\n * The URL of the generated image, if `response_format` is `url` (default).\n */\n url?: string;\n}\n\nexport interface ImagesResponse {\n created: number;\n\n data: Array;\n}\n\nexport interface ImageCreateVariationParams {\n /**\n * The image to use as the basis for the variation(s). Must be a valid PNG file,\n * less than 4MB, and square.\n */\n image: Uploadable;\n\n /**\n * The number of images to generate. Must be between 1 and 10.\n */\n n?: number | null;\n\n /**\n * The format in which the generated images are returned. Must be one of `url` or\n * `b64_json`.\n */\n response_format?: 'url' | 'b64_json' | null;\n\n /**\n * The size of the generated images. Must be one of `256x256`, `512x512`, or\n * `1024x1024`.\n */\n size?: '256x256' | '512x512' | '1024x1024' | null;\n\n /**\n * A unique identifier representing your end-user, which can help OpenAI to monitor\n * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n */\n user?: string;\n}\n\nexport interface ImageEditParams {\n /**\n * The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask\n * is not provided, image must have transparency, which will be used as the mask.\n */\n image: Uploadable;\n\n /**\n * A text description of the desired image(s). The maximum length is 1000\n * characters.\n */\n prompt: string;\n\n /**\n * An additional image whose fully transparent areas (e.g. where alpha is zero)\n * indicate where `image` should be edited. Must be a valid PNG file, less than\n * 4MB, and have the same dimensions as `image`.\n */\n mask?: Uploadable;\n\n /**\n * The number of images to generate. Must be between 1 and 10.\n */\n n?: number | null;\n\n /**\n * The format in which the generated images are returned. Must be one of `url` or\n * `b64_json`.\n */\n response_format?: 'url' | 'b64_json' | null;\n\n /**\n * The size of the generated images. Must be one of `256x256`, `512x512`, or\n * `1024x1024`.\n */\n size?: '256x256' | '512x512' | '1024x1024' | null;\n\n /**\n * A unique identifier representing your end-user, which can help OpenAI to monitor\n * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n */\n user?: string;\n}\n\nexport interface ImageGenerateParams {\n /**\n * A text description of the desired image(s). The maximum length is 1000\n * characters.\n */\n prompt: string;\n\n /**\n * The number of images to generate. Must be between 1 and 10.\n */\n n?: number | null;\n\n /**\n * The format in which the generated images are returned. Must be one of `url` or\n * `b64_json`.\n */\n response_format?: 'url' | 'b64_json' | null;\n\n /**\n * The size of the generated images. Must be one of `256x256`, `512x512`, or\n * `1024x1024`.\n */\n size?: '256x256' | '512x512' | '1024x1024' | null;\n\n /**\n * A unique identifier representing your end-user, which can help OpenAI to monitor\n * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n */\n user?: string;\n}\n\nexport namespace Images {\n export import Image = API.Image;\n export import ImagesResponse = API.ImagesResponse;\n export import ImageCreateVariationParams = API.ImageCreateVariationParams;\n export import ImageEditParams = API.ImageEditParams;\n export import ImageGenerateParams = API.ImageGenerateParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../core';\nimport { APIResource } from '../resource';\nimport * as API from './index';\nimport { Page } from '../pagination';\n\nexport class Models extends APIResource {\n /**\n * Retrieves a model instance, providing basic information about the model such as\n * the owner and permissioning.\n */\n retrieve(model: string, options?: Core.RequestOptions): Core.APIPromise {\n return this.get(`/models/${model}`, options);\n }\n\n /**\n * Lists the currently available models, and provides basic information about each\n * one such as the owner and availability.\n */\n list(options?: Core.RequestOptions): Core.PagePromise {\n return this.getAPIList('/models', ModelsPage, options);\n }\n\n /**\n * Delete a fine-tuned model. You must have the Owner role in your organization.\n */\n del(model: string, options?: Core.RequestOptions): Core.APIPromise {\n return this.delete(`/models/${model}`, options);\n }\n}\n\n/**\n * Note: no pagination actually occurs yet, this is for forwards-compatibility.\n */\nexport class ModelsPage extends Page {}\n// alias so we can export it in the namespace\ntype _ModelsPage = ModelsPage;\n\n/**\n * Describes an OpenAI model offering that can be used with the API.\n */\nexport interface Model {\n /**\n * The model identifier, which can be referenced in the API endpoints.\n */\n id: string;\n\n /**\n * The date and time when the model was created.\n */\n created: number;\n\n /**\n * The object type, which is always \"model\".\n */\n object: string;\n\n /**\n * The organization that owns the model.\n */\n owned_by: string;\n}\n\nexport interface ModelDeleted {\n id: string;\n\n deleted: boolean;\n\n object: string;\n}\n\nexport namespace Models {\n export import Model = API.Model;\n export import ModelDeleted = API.ModelDeleted;\n export type ModelsPage = _ModelsPage;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from '../core';\nimport { APIResource } from '../resource';\nimport * as API from './index';\n\nexport class Moderations extends APIResource {\n /**\n * Classifies if text violates OpenAI's Content Policy\n */\n create(\n body: ModerationCreateParams,\n options?: Core.RequestOptions,\n ): Core.APIPromise {\n return this.post('/moderations', { body, ...options });\n }\n}\n\nexport interface Moderation {\n /**\n * A list of the categories, and whether they are flagged or not.\n */\n categories: Moderation.Categories;\n\n /**\n * A list of the categories along with their scores as predicted by model.\n */\n category_scores: Moderation.CategoryScores;\n\n /**\n * Whether the content violates\n * [OpenAI's usage policies](/policies/usage-policies).\n */\n flagged: boolean;\n}\n\nexport namespace Moderation {\n /**\n * A list of the categories, and whether they are flagged or not.\n */\n export interface Categories {\n /**\n * Content that expresses, incites, or promotes harassing language towards any\n * target.\n */\n harassment: boolean;\n\n /**\n * Harassment content that also includes violence or serious harm towards any\n * target.\n */\n 'harassment/threatening': boolean;\n\n /**\n * Content that expresses, incites, or promotes hate based on race, gender,\n * ethnicity, religion, nationality, sexual orientation, disability status, or\n * caste. Hateful content aimed at non-protected groups (e.g., chess players) is\n * harrassment.\n */\n hate: boolean;\n\n /**\n * Hateful content that also includes violence or serious harm towards the targeted\n * group based on race, gender, ethnicity, religion, nationality, sexual\n * orientation, disability status, or caste.\n */\n 'hate/threatening': boolean;\n\n /**\n * Content that promotes, encourages, or depicts acts of self-harm, such as\n * suicide, cutting, and eating disorders.\n */\n 'self-harm': boolean;\n\n /**\n * Content that encourages performing acts of self-harm, such as suicide, cutting,\n * and eating disorders, or that gives instructions or advice on how to commit such\n * acts.\n */\n 'self-harm/instructions': boolean;\n\n /**\n * Content where the speaker expresses that they are engaging or intend to engage\n * in acts of self-harm, such as suicide, cutting, and eating disorders.\n */\n 'self-harm/intent': boolean;\n\n /**\n * Content meant to arouse sexual excitement, such as the description of sexual\n * activity, or that promotes sexual services (excluding sex education and\n * wellness).\n */\n sexual: boolean;\n\n /**\n * Sexual content that includes an individual who is under 18 years old.\n */\n 'sexual/minors': boolean;\n\n /**\n * Content that depicts death, violence, or physical injury.\n */\n violence: boolean;\n\n /**\n * Content that depicts death, violence, or physical injury in graphic detail.\n */\n 'violence/graphic': boolean;\n }\n\n /**\n * A list of the categories along with their scores as predicted by model.\n */\n export interface CategoryScores {\n /**\n * The score for the category 'harassment'.\n */\n harassment: number;\n\n /**\n * The score for the category 'harassment/threatening'.\n */\n 'harassment/threatening': number;\n\n /**\n * The score for the category 'hate'.\n */\n hate: number;\n\n /**\n * The score for the category 'hate/threatening'.\n */\n 'hate/threatening': number;\n\n /**\n * The score for the category 'self-harm'.\n */\n 'self-harm': number;\n\n /**\n * The score for the category 'self-harm/instructions'.\n */\n 'self-harm/instructions': number;\n\n /**\n * The score for the category 'self-harm/intent'.\n */\n 'self-harm/intent': number;\n\n /**\n * The score for the category 'sexual'.\n */\n sexual: number;\n\n /**\n * The score for the category 'sexual/minors'.\n */\n 'sexual/minors': number;\n\n /**\n * The score for the category 'violence'.\n */\n violence: number;\n\n /**\n * The score for the category 'violence/graphic'.\n */\n 'violence/graphic': number;\n }\n}\n\n/**\n * Represents policy compliance report by OpenAI's content moderation model against\n * a given input.\n */\nexport interface ModerationCreateResponse {\n /**\n * The unique identifier for the moderation request.\n */\n id: string;\n\n /**\n * The model used to generate the moderation results.\n */\n model: string;\n\n /**\n * A list of moderation objects.\n */\n results: Array;\n}\n\nexport interface ModerationCreateParams {\n /**\n * The input text to classify\n */\n input: string | Array;\n\n /**\n * Two content moderations models are available: `text-moderation-stable` and\n * `text-moderation-latest`.\n *\n * The default is `text-moderation-latest` which will be automatically upgraded\n * over time. This ensures you are always using our most accurate model. If you use\n * `text-moderation-stable`, we will provide advanced notice before updating the\n * model. Accuracy of `text-moderation-stable` may be slightly lower than for\n * `text-moderation-latest`.\n */\n model?: (string & {}) | 'text-moderation-latest' | 'text-moderation-stable';\n}\n\nexport namespace Moderations {\n export import Moderation = API.Moderation;\n export import ModerationCreateResponse = API.ModerationCreateResponse;\n export import ModerationCreateParams = API.ModerationCreateParams;\n}\n","// File generated from our OpenAPI spec by Stainless.\n\nimport * as Core from './core';\nimport * as Pagination from './pagination';\nimport * as API from './resources/index';\nimport * as Errors from './error';\nimport type { Agent } from './_shims/agent';\nimport * as Uploads from './uploads';\n\nexport interface ClientOptions {\n /**\n * Defaults to process.env[\"OPENAI_API_KEY\"].\n */\n apiKey?: string;\n\n /**\n * Override the default base URL for the API, e.g., \"https://api.example.com/v2/\"\n */\n baseURL?: string;\n\n /**\n * The maximum amount of time (in milliseconds) that the client should wait for a response\n * from the server before timing out a single request.\n *\n * Note that request timeouts are retried by default, so in a worst-case scenario you may wait\n * much longer than this timeout before the promise succeeds or fails.\n */\n timeout?: number;\n\n /**\n * An HTTP agent used to manage HTTP(S) connections.\n *\n * If not provided, an agent will be constructed by default in the Node.js environment,\n * otherwise no agent is used.\n */\n httpAgent?: Agent;\n\n /**\n * Specify a custom `fetch` function implementation.\n *\n * If not provided, we use `node-fetch` on Node.js and otherwise expect that `fetch` is\n * defined globally.\n */\n fetch?: Core.Fetch | undefined;\n\n /**\n * The maximum number of times that the client will retry a request in case of a\n * temporary failure, like a network error or a 5XX error from the server.\n *\n * @default 2\n */\n maxRetries?: number;\n\n /**\n * Default headers to include with every request to the API.\n *\n * These can be removed in individual requests by explicitly setting the\n * header to `undefined` or `null` in request options.\n */\n defaultHeaders?: Core.Headers;\n\n /**\n * Default query parameters to include with every request to the API.\n *\n * These can be removed in individual requests by explicitly setting the\n * param to `undefined` in request options.\n */\n defaultQuery?: Core.DefaultQuery;\n\n /**\n * By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers.\n * Only set this option to `true` if you understand the risks and have appropriate mitigations in place.\n */\n dangerouslyAllowBrowser?: boolean;\n\n organization?: string | null;\n}\n\n/** API Client for interfacing with the OpenAI API. */\nexport class OpenAI extends Core.APIClient {\n apiKey: string;\n organization?: string | null;\n\n private _options: ClientOptions;\n\n /**\n * API Client for interfacing with the OpenAI API.\n *\n * @param {string} [opts.apiKey=process.env['OPENAI_API_KEY']] - The API Key to send to the API.\n * @param {string} [opts.baseURL] - Override the default base URL for the API.\n * @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out.\n * @param {number} [opts.httpAgent] - An HTTP agent used to manage HTTP(s) connections.\n * @param {Core.Fetch} [opts.fetch] - Specify a custom `fetch` function implementation.\n * @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request.\n * @param {Core.Headers} opts.defaultHeaders - Default headers to include with every request to the API.\n * @param {Core.DefaultQuery} opts.defaultQuery - Default query parameters to include with every request to the API.\n * @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers.\n * @param {string | null} [opts.organization]\n */\n constructor({\n apiKey = Core.readEnv('OPENAI_API_KEY'),\n organization = Core.readEnv('OPENAI_ORG_ID') ?? null,\n ...opts\n }: ClientOptions = {}) {\n if (apiKey === undefined) {\n throw new Error(\n \"The OPENAI_API_KEY environment variable is missing or empty; either provide it, or instantiate the OpenAI client with an apiKey option, like new OpenAI({ apiKey: 'my apiKey' }).\",\n );\n }\n\n const options: ClientOptions = {\n apiKey,\n organization,\n baseURL: `https://api.openai.com/v1`,\n ...opts,\n };\n\n if (!options.dangerouslyAllowBrowser && Core.isRunningInBrowser()) {\n throw new Error(\n \"It looks like you're running in a browser-like environment.\\n\\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\\nIf you understand the risks and have appropriate mitigations in place,\\nyou can set the `dangerouslyAllowBrowser` option to `true`, e.g.,\\n\\nnew OpenAI({ apiKey, dangerouslyAllowBrowser: true });\\n\\nhttps://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety\\n\",\n );\n }\n\n super({\n baseURL: options.baseURL!,\n timeout: options.timeout ?? 600000 /* 10 minutes */,\n httpAgent: options.httpAgent,\n maxRetries: options.maxRetries,\n fetch: options.fetch,\n });\n this._options = options;\n\n this.apiKey = apiKey;\n this.organization = organization;\n }\n\n completions: API.Completions = new API.Completions(this);\n chat: API.Chat = new API.Chat(this);\n edits: API.Edits = new API.Edits(this);\n embeddings: API.Embeddings = new API.Embeddings(this);\n files: API.Files = new API.Files(this);\n images: API.Images = new API.Images(this);\n audio: API.Audio = new API.Audio(this);\n moderations: API.Moderations = new API.Moderations(this);\n models: API.Models = new API.Models(this);\n fineTuning: API.FineTuning = new API.FineTuning(this);\n fineTunes: API.FineTunes = new API.FineTunes(this);\n\n protected override defaultQuery(): Core.DefaultQuery | undefined {\n return this._options.defaultQuery;\n }\n\n protected override defaultHeaders(opts: Core.FinalRequestOptions): Core.Headers {\n return {\n ...super.defaultHeaders(opts),\n 'OpenAI-Organization': this.organization,\n ...this._options.defaultHeaders,\n };\n }\n\n protected override authHeaders(opts: Core.FinalRequestOptions): Core.Headers {\n return { Authorization: `Bearer ${this.apiKey}` };\n }\n\n static OpenAI = this;\n\n static APIError = Errors.APIError;\n static APIConnectionError = Errors.APIConnectionError;\n static APIConnectionTimeoutError = Errors.APIConnectionTimeoutError;\n static APIUserAbortError = Errors.APIUserAbortError;\n static NotFoundError = Errors.NotFoundError;\n static ConflictError = Errors.ConflictError;\n static RateLimitError = Errors.RateLimitError;\n static BadRequestError = Errors.BadRequestError;\n static AuthenticationError = Errors.AuthenticationError;\n static InternalServerError = Errors.InternalServerError;\n static PermissionDeniedError = Errors.PermissionDeniedError;\n static UnprocessableEntityError = Errors.UnprocessableEntityError;\n}\n\nexport const {\n APIError,\n APIConnectionError,\n APIConnectionTimeoutError,\n APIUserAbortError,\n NotFoundError,\n ConflictError,\n RateLimitError,\n BadRequestError,\n AuthenticationError,\n InternalServerError,\n PermissionDeniedError,\n UnprocessableEntityError,\n} = Errors;\n\nexport import toFile = Uploads.toFile;\nexport import fileFromPath = Uploads.fileFromPath;\n\nexport namespace OpenAI {\n // Helper functions\n export import toFile = Uploads.toFile;\n export import fileFromPath = Uploads.fileFromPath;\n\n export import RequestOptions = Core.RequestOptions;\n\n export import Page = Pagination.Page;\n export import PageResponse = Pagination.PageResponse;\n\n export import CursorPage = Pagination.CursorPage;\n export import CursorPageParams = Pagination.CursorPageParams;\n export import CursorPageResponse = Pagination.CursorPageResponse;\n\n export import Completions = API.Completions;\n export import Completion = API.Completion;\n export import CompletionChoice = API.CompletionChoice;\n export import CompletionUsage = API.CompletionUsage;\n export import CompletionCreateParams = API.CompletionCreateParams;\n export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming;\n export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming;\n\n export import Chat = API.Chat;\n\n export import Edits = API.Edits;\n export import Edit = API.Edit;\n export import EditCreateParams = API.EditCreateParams;\n\n export import Embeddings = API.Embeddings;\n export import CreateEmbeddingResponse = API.CreateEmbeddingResponse;\n export import Embedding = API.Embedding;\n export import EmbeddingCreateParams = API.EmbeddingCreateParams;\n\n export import Files = API.Files;\n export import FileContent = API.FileContent;\n export import FileDeleted = API.FileDeleted;\n export import FileObject = API.FileObject;\n export import FileObjectsPage = API.FileObjectsPage;\n export import FileCreateParams = API.FileCreateParams;\n\n export import Images = API.Images;\n export import Image = API.Image;\n export import ImagesResponse = API.ImagesResponse;\n export import ImageCreateVariationParams = API.ImageCreateVariationParams;\n export import ImageEditParams = API.ImageEditParams;\n export import ImageGenerateParams = API.ImageGenerateParams;\n\n export import Audio = API.Audio;\n\n export import Moderations = API.Moderations;\n export import Moderation = API.Moderation;\n export import ModerationCreateResponse = API.ModerationCreateResponse;\n export import ModerationCreateParams = API.ModerationCreateParams;\n\n export import Models = API.Models;\n export import Model = API.Model;\n export import ModelDeleted = API.ModelDeleted;\n export import ModelsPage = API.ModelsPage;\n\n export import FineTuning = API.FineTuning;\n\n export import FineTunes = API.FineTunes;\n export import FineTune = API.FineTune;\n export import FineTuneEvent = API.FineTuneEvent;\n export import FineTuneEventsListResponse = API.FineTuneEventsListResponse;\n export import FineTunesPage = API.FineTunesPage;\n export import FineTuneCreateParams = API.FineTuneCreateParams;\n export import FineTuneListEventsParams = API.FineTuneListEventsParams;\n export import FineTuneListEventsParamsNonStreaming = API.FineTuneListEventsParamsNonStreaming;\n export import FineTuneListEventsParamsStreaming = API.FineTuneListEventsParamsStreaming;\n}\n\nexport default OpenAI;\n","var __extends = (this && this.__extends) || (function () {\n var extendStatics = function (d, b) {\n extendStatics = Object.setPrototypeOf ||\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n return extendStatics(d, b);\n };\n return function (d, b) {\n if (typeof b !== \"function\" && b !== null)\n throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n extendStatics(d, b);\n function __() { this.constructor = d; }\n d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n };\n})();\nvar AssertionError = /** @class */ (function (_super) {\n __extends(AssertionError, _super);\n function AssertionError(message) {\n var _this = _super.call(this, message) || this;\n _this.name = 'AssertionError';\n return _this;\n }\n return AssertionError;\n}(Error));\nexport default function assert(value, message) {\n if (!value) {\n throw new AssertionError(message);\n }\n}\n","export default function objectToGetParams(object) {\n var params = Object.entries(object)\n .filter(function (_a) {\n var value = _a[1];\n return value !== undefined && value !== null;\n })\n .map(function (_a) {\n var key = _a[0], value = _a[1];\n return \"\".concat(encodeURIComponent(key), \"=\").concat(encodeURIComponent(String(value)));\n });\n return params.length > 0 ? \"?\".concat(params.join('&')) : '';\n}\n","var __extends = (this && this.__extends) || (function () {\n var extendStatics = function (d, b) {\n extendStatics = Object.setPrototypeOf ||\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n return extendStatics(d, b);\n };\n return function (d, b) {\n if (typeof b !== \"function\" && b !== null)\n throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n extendStatics(d, b);\n function __() { this.constructor = d; }\n d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n };\n})();\nvar __assign = (this && this.__assign) || function () {\n __assign = Object.assign || function(t) {\n for (var s, i = 1, n = arguments.length; i < n; i++) {\n s = arguments[i];\n for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))\n t[p] = s[p];\n }\n return t;\n };\n return __assign.apply(this, arguments);\n};\nvar __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {\n function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }\n return new (P || (P = Promise))(function (resolve, reject) {\n function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\n function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\n function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }\n step((generator = generator.apply(thisArg, _arguments || [])).next());\n });\n};\nvar __generator = (this && this.__generator) || function (thisArg, body) {\n var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;\n return g = { next: verb(0), \"throw\": verb(1), \"return\": verb(2) }, typeof Symbol === \"function\" && (g[Symbol.iterator] = function() { return this; }), g;\n function verb(n) { return function (v) { return step([n, v]); }; }\n function step(op) {\n if (f) throw new TypeError(\"Generator is already executing.\");\n while (_) try {\n if (f = 1, y && (t = op[0] & 2 ? y[\"return\"] : op[0] ? y[\"throw\"] || ((t = y[\"return\"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;\n if (y = 0, t) op = [op[0] & 2, t.value];\n switch (op[0]) {\n case 0: case 1: t = op; break;\n case 4: _.label++; return { value: op[1], done: false };\n case 5: _.label++; y = op[1]; op = [0]; continue;\n case 7: op = _.ops.pop(); _.trys.pop(); continue;\n default:\n if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }\n if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }\n if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }\n if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }\n if (t[2]) _.ops.pop();\n _.trys.pop(); continue;\n }\n op = body.call(thisArg, _);\n } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }\n if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };\n }\n};\nvar __rest = (this && this.__rest) || function (s, e) {\n var t = {};\n for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)\n t[p] = s[p];\n if (s != null && typeof Object.getOwnPropertySymbols === \"function\")\n for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {\n if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))\n t[p[i]] = s[p[i]];\n }\n return t;\n};\nimport React, { Component } from 'react';\nimport cx from 'classnames';\nvar isPromise = function (obj) {\n return !!obj && (typeof obj === 'object' || typeof obj === 'function') && typeof obj.then === 'function';\n};\nvar getBoxPositionOnWindowCenter = function (width, height) { return ({\n left: window.outerWidth / 2 + (window.screenX || window.screenLeft || 0) - width / 2,\n top: window.outerHeight / 2 + (window.screenY || window.screenTop || 0) - height / 2,\n}); };\nvar getBoxPositionOnScreenCenter = function (width, height) { return ({\n top: (window.screen.height - height) / 2,\n left: (window.screen.width - width) / 2,\n}); };\nfunction windowOpen(url, _a, onClose) {\n var height = _a.height, width = _a.width, configRest = __rest(_a, [\"height\", \"width\"]);\n var config = __assign({ height: height, width: width, location: 'no', toolbar: 'no', status: 'no', directories: 'no', menubar: 'no', scrollbars: 'yes', resizable: 'no', centerscreen: 'yes', chrome: 'yes' }, configRest);\n var shareDialog = window.open(url, '', Object.keys(config)\n .map(function (key) { return \"\".concat(key, \"=\").concat(config[key]); })\n .join(', '));\n if (onClose) {\n var interval_1 = window.setInterval(function () {\n try {\n if (shareDialog === null || shareDialog.closed) {\n window.clearInterval(interval_1);\n onClose(shareDialog);\n }\n }\n catch (e) {\n /* eslint-disable no-console */\n console.error(e);\n /* eslint-enable no-console */\n }\n }, 1000);\n }\n return shareDialog;\n}\nvar ShareButton = /** @class */ (function (_super) {\n __extends(ShareButton, _super);\n function ShareButton() {\n var _this = _super !== null && _super.apply(this, arguments) || this;\n _this.openShareDialog = function (link) {\n var _a = _this.props, onShareWindowClose = _a.onShareWindowClose, _b = _a.windowHeight, windowHeight = _b === void 0 ? 400 : _b, _c = _a.windowPosition, windowPosition = _c === void 0 ? 'windowCenter' : _c, _d = _a.windowWidth, windowWidth = _d === void 0 ? 550 : _d;\n var windowConfig = __assign({ height: windowHeight, width: windowWidth }, (windowPosition === 'windowCenter'\n ? getBoxPositionOnWindowCenter(windowWidth, windowHeight)\n : getBoxPositionOnScreenCenter(windowWidth, windowHeight)));\n windowOpen(link, windowConfig, onShareWindowClose);\n };\n _this.handleClick = function (event) { return __awaiter(_this, void 0, void 0, function () {\n var _a, beforeOnClick, disabled, networkLink, onClick, url, openShareDialogOnClick, opts, link, returnVal;\n return __generator(this, function (_b) {\n switch (_b.label) {\n case 0:\n _a = this.props, beforeOnClick = _a.beforeOnClick, disabled = _a.disabled, networkLink = _a.networkLink, onClick = _a.onClick, url = _a.url, openShareDialogOnClick = _a.openShareDialogOnClick, opts = _a.opts;\n link = networkLink(url, opts);\n if (disabled) {\n return [2 /*return*/];\n }\n event.preventDefault();\n if (!beforeOnClick) return [3 /*break*/, 2];\n returnVal = beforeOnClick();\n if (!isPromise(returnVal)) return [3 /*break*/, 2];\n return [4 /*yield*/, returnVal];\n case 1:\n _b.sent();\n _b.label = 2;\n case 2:\n if (openShareDialogOnClick) {\n this.openShareDialog(link);\n }\n if (onClick) {\n onClick(event, link);\n }\n return [2 /*return*/];\n }\n });\n }); };\n return _this;\n }\n ShareButton.prototype.render = function () {\n var _a = this.props, beforeOnClick = _a.beforeOnClick, children = _a.children, className = _a.className, disabled = _a.disabled, disabledStyle = _a.disabledStyle, forwardedRef = _a.forwardedRef, networkLink = _a.networkLink, networkName = _a.networkName, onShareWindowClose = _a.onShareWindowClose, openShareDialogOnClick = _a.openShareDialogOnClick, opts = _a.opts, resetButtonStyle = _a.resetButtonStyle, style = _a.style, url = _a.url, windowHeight = _a.windowHeight, windowPosition = _a.windowPosition, windowWidth = _a.windowWidth, rest = __rest(_a, [\"beforeOnClick\", \"children\", \"className\", \"disabled\", \"disabledStyle\", \"forwardedRef\", \"networkLink\", \"networkName\", \"onShareWindowClose\", \"openShareDialogOnClick\", \"opts\", \"resetButtonStyle\", \"style\", \"url\", \"windowHeight\", \"windowPosition\", \"windowWidth\"]);\n var newClassName = cx('react-share__ShareButton', {\n 'react-share__ShareButton--disabled': !!disabled,\n disabled: !!disabled,\n }, className);\n var newStyle = resetButtonStyle\n ? __assign(__assign({ backgroundColor: 'transparent', border: 'none', padding: 0, font: 'inherit', color: 'inherit', cursor: 'pointer' }, style), (disabled && disabledStyle)) : __assign(__assign({}, style), (disabled && disabledStyle));\n return (React.createElement(\"button\", __assign({}, rest, { \"aria-label\": rest['aria-label'] || networkName, className: newClassName, onClick: this.handleClick, ref: forwardedRef, style: newStyle }), children));\n };\n ShareButton.defaultProps = {\n disabledStyle: { opacity: 0.6 },\n openShareDialogOnClick: true,\n resetButtonStyle: true,\n };\n return ShareButton;\n}(Component));\nexport default ShareButton;\n","var __assign = (this && this.__assign) || function () {\n __assign = Object.assign || function(t) {\n for (var s, i = 1, n = arguments.length; i < n; i++) {\n s = arguments[i];\n for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))\n t[p] = s[p];\n }\n return t;\n };\n return __assign.apply(this, arguments);\n};\nimport React, { forwardRef } from 'react';\nimport ShareButton from '../ShareButton';\nfunction createShareButton(networkName, link, optsMap, defaultProps) {\n function CreatedButton(props, ref) {\n var opts = optsMap(props);\n var passedProps = __assign({}, props);\n // remove keys from passed props that are passed as opts\n var optsKeys = Object.keys(opts);\n optsKeys.forEach(function (key) {\n delete passedProps[key];\n });\n return (React.createElement(ShareButton, __assign({}, defaultProps, passedProps, { forwardedRef: ref, networkName: networkName, networkLink: link, opts: optsMap(props) })));\n }\n CreatedButton.displayName = \"ShareButton-\".concat(networkName);\n return forwardRef(CreatedButton);\n}\nexport default createShareButton;\n","import assert from './utils/assert';\nimport objectToGetParams from './utils/objectToGetParams';\nimport createShareButton from './hocs/createShareButton';\nfunction twitterLink(url, _a) {\n var title = _a.title, via = _a.via, _b = _a.hashtags, hashtags = _b === void 0 ? [] : _b, _c = _a.related, related = _c === void 0 ? [] : _c;\n assert(url, 'twitter.url');\n assert(Array.isArray(hashtags), 'twitter.hashtags is not an array');\n assert(Array.isArray(related), 'twitter.related is not an array');\n return ('https://twitter.com/share' +\n objectToGetParams({\n url: url,\n text: title,\n via: via,\n hashtags: hashtags.length > 0 ? hashtags.join(',') : undefined,\n related: related.length > 0 ? related.join(',') : undefined,\n }));\n}\nvar TwitterShareButton = createShareButton('twitter', twitterLink, function (props) { return ({\n hashtags: props.hashtags,\n title: props.title,\n via: props.via,\n related: props.related,\n}); }, {\n windowWidth: 550,\n windowHeight: 400,\n});\nexport default TwitterShareButton;\n","var __assign = (this && this.__assign) || function () {\n __assign = Object.assign || function(t) {\n for (var s, i = 1, n = arguments.length; i < n; i++) {\n s = arguments[i];\n for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))\n t[p] = s[p];\n }\n return t;\n };\n return __assign.apply(this, arguments);\n};\nvar __rest = (this && this.__rest) || function (s, e) {\n var t = {};\n for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)\n t[p] = s[p];\n if (s != null && typeof Object.getOwnPropertySymbols === \"function\")\n for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {\n if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))\n t[p[i]] = s[p[i]];\n }\n return t;\n};\nimport React from 'react';\nexport default function createIcon(iconConfig) {\n var Icon = function (_a) {\n var bgStyle = _a.bgStyle, borderRadius = _a.borderRadius, iconFillColor = _a.iconFillColor, round = _a.round, size = _a.size, rest = __rest(_a, [\"bgStyle\", \"borderRadius\", \"iconFillColor\", \"round\", \"size\"]);\n return (React.createElement(\"svg\", __assign({ viewBox: \"0 0 64 64\", width: size, height: size }, rest),\n round ? (React.createElement(\"circle\", { cx: \"32\", cy: \"32\", r: \"31\", fill: iconConfig.color, style: bgStyle })) : (React.createElement(\"rect\", { width: \"64\", height: \"64\", rx: borderRadius, ry: borderRadius, fill: iconConfig.color, style: bgStyle })),\n React.createElement(\"path\", { d: iconConfig.path, fill: iconFillColor })));\n };\n Icon.defaultProps = {\n bgStyle: {},\n borderRadius: 0,\n iconFillColor: 'white',\n size: 64,\n };\n return Icon;\n}\n","import createIcon from './hocs/createIcon';\nvar TwitterIcon = createIcon({\n color: '#00aced',\n networkName: 'twitter',\n path: 'M48,22.1c-1.2,0.5-2.4,0.9-3.8,1c1.4-0.8,2.4-2.1,2.9-3.6c-1.3,0.8-2.7,1.3-4.2,1.6 C41.7,19.8,40,19,38.2,19c-3.6,0-6.6,2.9-6.6,6.6c0,0.5,0.1,1,0.2,1.5c-5.5-0.3-10.3-2.9-13.5-6.9c-0.6,1-0.9,2.1-0.9,3.3 c0,2.3,1.2,4.3,2.9,5.5c-1.1,0-2.1-0.3-3-0.8c0,0,0,0.1,0,0.1c0,3.2,2.3,5.8,5.3,6.4c-0.6,0.1-1.1,0.2-1.7,0.2c-0.4,0-0.8,0-1.2-0.1 c0.8,2.6,3.3,4.5,6.1,4.6c-2.2,1.8-5.1,2.8-8.2,2.8c-0.5,0-1.1,0-1.6-0.1c2.9,1.9,6.4,2.9,10.1,2.9c12.1,0,18.7-10,18.7-18.7 c0-0.3,0-0.6,0-0.8C46,24.5,47.1,23.4,48,22.1z',\n});\nexport default TwitterIcon;\n","import assert from './utils/assert';\nimport objectToGetParams from './utils/objectToGetParams';\nimport createShareButton from './hocs/createShareButton';\nfunction facebookLink(url, _a) {\n var quote = _a.quote, hashtag = _a.hashtag;\n assert(url, 'facebook.url');\n return ('https://www.facebook.com/sharer/sharer.php' +\n objectToGetParams({\n u: url,\n quote: quote,\n hashtag: hashtag,\n }));\n}\nvar FacebookShareButton = createShareButton('facebook', facebookLink, function (props) { return ({\n quote: props.quote,\n hashtag: props.hashtag,\n}); }, {\n windowWidth: 550,\n windowHeight: 400,\n});\nexport default FacebookShareButton;\n","import createIcon from './hocs/createIcon';\nvar FacebookIcon = createIcon({\n color: '#3b5998',\n networkName: 'facebook',\n path: 'M34.1,47V33.3h4.6l0.7-5.3h-5.3v-3.4c0-1.5,0.4-2.6,2.6-2.6l2.8,0v-4.8c-0.5-0.1-2.2-0.2-4.1-0.2 c-4.1,0-6.9,2.5-6.9,7V28H24v5.3h4.6V47H34.1z',\n});\nexport default FacebookIcon;\n","import assert from './utils/assert';\nimport objectToGetParams from './utils/objectToGetParams';\nimport createShareButton from './hocs/createShareButton';\nfunction linkedinLink(url, _a) {\n var title = _a.title, summary = _a.summary, source = _a.source;\n assert(url, 'linkedin.url');\n return ('https://linkedin.com/shareArticle' +\n objectToGetParams({ url: url, mini: 'true', title: title, summary: summary, source: source }));\n}\nvar LinkedinShareButton = createShareButton('linkedin', linkedinLink, function (_a) {\n var title = _a.title, summary = _a.summary, source = _a.source;\n return ({ title: title, summary: summary, source: source });\n}, {\n windowWidth: 750,\n windowHeight: 600,\n});\nexport default LinkedinShareButton;\n","import createIcon from './hocs/createIcon';\nvar LinkedinIcon = createIcon({\n color: '#007fb1',\n networkName: 'linkedin',\n path: 'M20.4,44h5.4V26.6h-5.4V44z M23.1,18c-1.7,0-3.1,1.4-3.1,3.1c0,1.7,1.4,3.1,3.1,3.1 c1.7,0,3.1-1.4,3.1-3.1C26.2,19.4,24.8,18,23.1,18z M39.5,26.2c-2.6,0-4.4,1.4-5.1,2.8h-0.1v-2.4h-5.2V44h5.4v-8.6 c0-2.3,0.4-4.5,3.2-4.5c2.8,0,2.8,2.6,2.8,4.6V44H46v-9.5C46,29.8,45,26.2,39.5,26.2z',\n});\nexport default LinkedinIcon;\n","import assert from './utils/assert';\nimport objectToGetParams from './utils/objectToGetParams';\nimport createShareButton from './hocs/createShareButton';\nfunction redditLink(url, _a) {\n var title = _a.title;\n assert(url, 'reddit.url');\n return ('https://www.reddit.com/submit' +\n objectToGetParams({\n url: url,\n title: title,\n }));\n}\nvar RedditShareButton = createShareButton('reddit', redditLink, function (props) { return ({\n title: props.title,\n}); }, {\n windowWidth: 660,\n windowHeight: 460,\n windowPosition: 'windowCenter',\n});\nexport default RedditShareButton;\n","import createIcon from './hocs/createIcon';\nvar RedditIcon = createIcon({\n color: '#ff4500',\n networkName: 'reddit',\n path: 'm 52.8165,31.942362 c 0,-2.4803 -2.0264,-4.4965 -4.5169,-4.4965 -1.2155,0 -2.3171,0.4862 -3.128,1.2682 -3.077,-2.0247 -7.2403,-3.3133 -11.8507,-3.4782 l 2.5211,-7.9373 6.8272,1.5997 -0.0102,0.0986 c 0,2.0281 1.6575,3.6771 3.6958,3.6771 2.0366,0 3.6924,-1.649 3.6924,-3.6771 0,-2.0281 -1.6575,-3.6788 -3.6924,-3.6788 -1.564,0 -2.8968,0.9758 -3.4357,2.3443 l -7.3593,-1.7255 c -0.3213,-0.0782 -0.6477,0.1071 -0.748,0.4233 L 32,25.212062 c -4.8246,0.0578 -9.1953,1.3566 -12.41,3.4425 -0.8058,-0.7446 -1.8751,-1.2104 -3.0583,-1.2104 -2.4905,0 -4.5152,2.0179 -4.5152,4.4982 0,1.649 0.9061,3.0787 2.2389,3.8607 -0.0884,0.4794 -0.1462,0.9639 -0.1462,1.4569 0,6.6487 8.1736,12.0581 18.2223,12.0581 10.0487,0 18.224,-5.4094 18.224,-12.0581 0,-0.4658 -0.0493,-0.9248 -0.1275,-1.377 1.4144,-0.7599 2.3885,-2.2304 2.3885,-3.9406 z m -29.2808,3.0872 c 0,-1.4756 1.207,-2.6775 2.6894,-2.6775 1.4824,0 2.6877,1.2019 2.6877,2.6775 0,1.4756 -1.2053,2.6758 -2.6877,2.6758 -1.4824,0 -2.6894,-1.2002 -2.6894,-2.6758 z m 15.4037,7.9373 c -1.3549,1.3481 -3.4816,2.0043 -6.5008,2.0043 l -0.0221,-0.0051 -0.0221,0.0051 c -3.0209,0 -5.1476,-0.6562 -6.5008,-2.0043 -0.2465,-0.2448 -0.2465,-0.6443 0,-0.8891 0.2465,-0.2465 0.6477,-0.2465 0.8942,0 1.105,1.0999 2.9393,1.6337 5.6066,1.6337 l 0.0221,0.0051 0.0221,-0.0051 c 2.6673,0 4.5016,-0.5355 5.6066,-1.6354 0.2465,-0.2465 0.6477,-0.2448 0.8942,0 0.2465,0.2465 0.2465,0.6443 0,0.8908 z m -0.3213,-5.2615 c -1.4824,0 -2.6877,-1.2002 -2.6877,-2.6758 0,-1.4756 1.2053,-2.6775 2.6877,-2.6775 1.4824,0 2.6877,1.2019 2.6877,2.6775 0,1.4756 -1.2053,2.6758 -2.6877,2.6758 z',\n});\nexport default RedditIcon;\n","import parseTag from './parse-tag'\n\nconst tagRE = /<[a-zA-Z0-9\\-\\!\\/](?:\"[^\"]*\"|'[^']*'|[^'\">])*>/g\nconst whitespaceRE = /^\\s*$/\n\n// re-used obj for quick lookups of components\nconst empty = Object.create(null)\n\nexport default function parse(html, options) {\n options || (options = {})\n options.components || (options.components = empty)\n const result = []\n const arr = []\n let current\n let level = -1\n let inComponent = false\n\n // handle text at top level\n if (html.indexOf('<') !== 0) {\n var end = html.indexOf('<')\n result.push({\n type: 'text',\n content: end === -1 ? html : html.substring(0, end),\n })\n }\n\n html.replace(tagRE, function (tag, index) {\n if (inComponent) {\n if (tag !== '') {\n return\n } else {\n inComponent = false\n }\n }\n const isOpen = tag.charAt(1) !== '/'\n const isComment = tag.startsWith('