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eve

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Filesystem-first framework for durable backend AI agents that run anywhere.

github.com/vercel/eve

vercel/eve

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The ${e.provider} model "${e.modelId}" can only embed up to ${e.maxEmbeddingsPerCall} values per call, but ${e.values.length} values were provided.`}),this[ke]=!0,this.provider=e.provider,this.modelId=e.modelId,this.maxEmbeddingsPerCall=e.maxEmbeddingsPerCall,this.values=e.values}static isInstance(e){return i.hasMarker(e,De)}},Me=`AI_TypeValidationError`,Ne=`vercel.ai.error.${Me}`,Pe=Symbol.for(Ne),Fe,Q,Ie=class e extends (Q=i,Fe=Pe,Q){constructor({value:e,cause:t,context:n}){let r=`Type validation failed`;if(n?.field&&(r+=` for ${n.field}`),n?.entityName||n?.entityId){r+=` (`;let e=[];n.entityName&&e.push(n.entityName),n.entityId&&e.push(`id: "${n.entityId}"`),r+=e.join(`, `),r+=`)`}super({name:Me,message:`${r}: Value: ${JSON.stringify(e)}. Error message: ${_(t)}`,cause:t}),this[Fe]=!0,this.value=e,this.context=n}static isInstance(e){return i.hasMarker(e,Ne)}static wrap({value:t,cause:n,context:r}){return e.isInstance(n)&&n.value===t&&n.context?.field===r?.field&&n.context?.entityName===r?.entityName&&n.context?.entityId===r?.entityId?n:new e({value:t,cause:n,context:r})}},Le=`AI_UnsupportedFunctionalityError`,Re=`vercel.ai.error.${Le}`,ze=Symbol.for(Re),Be,Ve,He=class extends (Ve=i,Be=ze,Ve){constructor({functionality:e,message:t=`'${e}' functionality not supported.`}){super({name:Le,message:t}),this[Be]=!0,this.functionality=e}static isInstance(e){return i.hasMarker(e,Re)}};function $(e){return e===null||typeof e==`string`||typeof e==`number`||typeof e==`boolean`?!0:Array.isArray(e)?e.every($):typeof e==`object`&&Object.entries(e).every(([e,t])=>typeof e==`string`&&(t===void 0||$(t)))}function Ue(e){return Array.isArray(e)&&e.every($)}function We(e){return typeof e==`object`&&!!e&&Object.entries(e).every(([e,t])=>typeof e==`string`&&(t===void 0||$(t)))}export{i as AISDKError,c as APICallError,re as EmptyResponseBodyError,ae as Experimental_EvaluationUnsupportedQuestionTypeError,se as InvalidArgumentError,le as InvalidPromptError,de as InvalidResponseDataError,pe as JSONParseError,he as LoadAPIKeyError,ve as LoadSettingError,be as NoContentGeneratedError,Se as NoSuchModelError,Te as NoSuchProviderReferenceError,je as TooManyEmbeddingValuesForCallError,Ie as TypeValidationError,He as UnsupportedFunctionalityError,_ as getErrorMessage,Ue as isJSONArray,We as isJSONObject,$ as isJSONValue};