@earendil-works/pi-coding-agent/dist/bundle/chunks/chunk-IQUU5XIT.js

Coding agent CLI with read, bash, edit, write tools and session management

import { createRequire as __piCreateRequire } from "node:module"; const require = __piCreateRequire(import.meta.url);
import{isRecord,parseClassifierUsage,postClassifierRequest,requiredNumber}from"./chunk-ZBIZYD6W.js";import{formatProviderError,normalizeProviderError}from"./chunk-RKNK4Y6L.js";var IMAGE_OPT_IN_HEADERS={"TypeSafe-Danger-Zone-Images":"true"};function probabilities(label,value,id){if(!isRecord(value))throw new Error(`${label} returned invalid probabilities for ${id}`);return Object.fromEntries(Object.entries(value).map(([key,probability])=>[key,requiredNumber(label,probability,`probability for ${id}.${key}`)]))}function parseAnswers(label,value,context){if(!isRecord(value))throw new Error(`${label} returned an unexpected response`);let answers=[];for(let[id,question]of Object.entries(context.questions)){let answer=value[id];if(!isRecord(answer))throw new Error(`${label} did not return an answer for ${id}`);if(question.type==="choice"){if(answer.type!=="choice"||typeof answer.choice!="string")throw new Error(`${label} did not return a choice answer for ${id}`);answers.push([id,{type:"choice",choice:answer.choice,probabilities:probabilities(label,answer.probabilities,id),confidence:requiredNumber(label,answer.confidence,`confidence for ${id}`)}])}else if(question.type==="score"){if(answer.type!=="score")throw new Error(`${label} did not return a score answer for ${id}`);answers.push([id,{type:"score",score:requiredNumber(label,answer.score,`score for ${id}`),confidence:requiredNumber(label,answer.confidence,`confidence for ${id}`)}])}else{if(answer.type!=="noul")throw new Error(`${label} did not return a bool answer for ${id}`);answers.push([id,{type:"bool",probability:requiredNumber(label,answer.noul,`probability for ${id}`)}])}}return Object.fromEntries(answers)}var ASSET_FORMATS={"image/png":"png","image/jpeg":"jpeg"},DATA_URL_TYPES=new Set(["image/png","image/jpeg","image/webp"]),MAX_DATA_URL_IMAGES=4;function addImages(label,model,input,images,request){if(input==="images"){if(images.length>MAX_DATA_URL_IMAGES)throw new Error(`${label} accepts at most ${MAX_DATA_URL_IMAGES} images for ${model.id}, got ${images.length}`);request.images=images.map(image=>{if(!DATA_URL_TYPES.has(image.mimeType))throw new Error(`${label} accepts PNG, JPEG, and WebP images for ${model.id}, got ${image.mimeType}`);return`data:${image.mimeType};base64,${image.data}`});return}if(input==="state-image-urls"){let parts=images.map(image=>({type:"image_url",image_url:{url:`data:${image.mimeType};base64,${image.data}`}}));request.state=[...parts,request.state];return}let assets={};images.forEach((image,index)=>{let format=ASSET_FORMATS[image.mimeType];if(!format)throw new Error(`${label} accepts PNG and JPEG images for ${model.id}, got ${image.mimeType}`);assets[`<image-${index+1}>`]={type:"image",format,data_base64:image.data}}),request.assets=assets,request.state=[...Object.keys(assets),request.state]}function wireRequest(context){return{state:context.state,questions:Object.fromEntries(Object.entries(context.questions).map(([id,question])=>[id,question.type==="bool"?{...question,type:"noul"}:question]))}}async function classifySystemOne(transport,model,context,options){let output={api:model.api,provider:model.provider,model:model.id,answers:{},stopReason:"stop",timestamp:Date.now()};try{if(model.api!==transport.api)throw new Error(`Unsupported classifier API: ${model.api}`);let request=wireRequest(context),requestOptions=options;if(context.images?.length){if(!model.input.includes("image"))throw new Error(`${transport.label} does not support image input for ${model.id}`);let detected=transport.detectCompat(model),imageInput=model.compat?.imageInput??detected.imageInput;addImages(transport.label,model,imageInput,context.images,request),(model.compat?.sendImageOptInHeader??detected.sendImageOptInHeader)&&(requestOptions={...options,headers:{...IMAGE_OPT_IN_HEADERS,...options?.headers}})}let body=await postClassifierRequest(transport.label,transport.url(model),model,transport.payload(model,request),requestOptions),result=transport.output(body),usage=parseClassifierUsage(result.usage,model);return usage&&(output.usage=usage),output.answers=parseAnswers(transport.label,result.answers,context),output}catch(error){return output.stopReason=options?.signal?.aborted?"aborted":"error",output.errorMessage=formatProviderError(normalizeProviderError(error),`${transport.label} error`),output}}export{classifySystemOne};