@aigur/client - npm Package Compare versions

Comparing version 1.1.0 to 1.2.0

CHANGELOG.md

 # @aigur/client
 
+## 1.2.0
+
+### Minor Changes
+
+- 15d51cf1: Better Vercel helpers
+
 ## 1.1.0
@@ -4,0 +10,0 @@

dist/index.d.ts

@@ -149,7 +149,2 @@ import { z } from 'zod';
 
-declare function vercelGenericEdge(pipelines: any, req: any): Promise<Response | {
-    output: any;
-    pipeline: any;
-}>;
-
 declare const inputSchema$b: z.ZodObject<{
@@ -499,2 +494,9 @@ image: z.ZodString;
 
-export { Aigur, Pipeline, createClient, dalleBase64TextToImage, dalleUrlTextToImage, enhanceWithKeywords, googleImageLabeling, googleTextToSpeech, gpt3Prediction, gpt3PredictionStream, inputSchema$4 as inputSchema, output, outputSchema$4 as outputSchema, replaceMultipleStrings, replaceString, stabilityClipGuidancePreset, stabilityModel, stabilityTextToImage, stringToArrayBuffer, vercelGenericEdge, whisperApi };
+declare function vercelEdgeFunction(pipelines: Record<string, Pipeline<any, any, any>>): (req: any) => Promise<Response>;
+
+declare function vercelGenericEdge(pipelines: any, req: any): Promise<Response | {
+    output: any;
+    pipeline: any;
+}>;
+
+export { Aigur, Pipeline, createClient, dalleBase64TextToImage, dalleUrlTextToImage, enhanceWithKeywords, googleImageLabeling, googleTextToSpeech, gpt3Prediction, gpt3PredictionStream, inputSchema$4 as inputSchema, output, outputSchema$4 as outputSchema, replaceMultipleStrings, replaceString, stabilityClipGuidancePreset, stabilityModel, stabilityTextToImage, stringToArrayBuffer, vercelEdgeFunction, vercelGenericEdge, whisperApi };

dist/index.js

@@ -1,2 +0,2 @@
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I=require("zod"),re=I.z.object({prompt:I.z.string(),size:I.z.enum(["256x256","512x512","1024x1024"]).default("512x512")}),et=I.z.object({url:I.z.string().url()});async function ie(n,e){let t=re.parse(n),r=await fetch("https://api.openai.com/v1/images/generations",{headers:{"Content-Type":"application/json",Authorization:`Bearer ${e.openai}`},method:"POST",body:JSON.stringify(t)}),{data:i}=await r.json();return{url:i[0].url}}var u=require("zod"),_=u.z.enum(["stable-diffusion-v1-5","stable-diffusion-512-v2-0","stable-diffusion-768-v2-0","stable-diffusion-512-v2-1","stable-diffusion-768-v2-1"]),k=u.z.enum(["NONE","FAST_BLUE","FAST_GREEN","SIMPLE","SLOW","SLOWER","SLOWEST"]),ae=u.z.object({text_prompts:u.z.array(u.z.object({text:u.z.string(),weight:u.z.number().min(-1).max(1).default(1)})).refine(n=>n.length>0,"Must have at least one text prompt"),model:_.default("stable-diffusion-v1-5"),clip_guidance_preset:k.optional(),steps:u.z.number().min(0).max(150).optional(),sampler:u.z.enum(["DDIM","DDPM","K_DPMPP_2M","K_DPMPP_2S_ANCESTRAL","K_DPM_2","K_DPM_2_ANCESTRAL","K_EULER","K_EULER_ANCESTRAL","K_HEUN","K_LMS"]).optional(),cfg_scale:u.z.number().min(0).max(35).optional(),seed:u.z.number().min(0).optional(),height:u.z.number().min(128).optional().refine(n=>typeof n<"u"?n%64===0:!0,"Must be a multiple of 64"),width:u.z.number().min(128).optional().refine(n=>typeof n<"u"?n%64===0:!0,"Must be a multiple of 64")}),nt=u.z.object({result:u.z.instanceof(ArrayBuffer)});async function se(n,e){let t=ae.parse(n),o=`https://api.stability.ai/v1beta/generation/${t.model}/text-to-image`;return{result:await(await fetch(o,{headers:{"Content-Type":"application/json",Accept:"image/png",Authorization:e.stability},method:"POST",body:JSON.stringify(t)})).arrayBuffer()}}var P=require("zod"),pe=P.z.object({text:P.z.string(),amount:P.z.number().optional().default(8)}),rt=P.z.object({text:P.z.string()}),ue={"Colonial-style home":"Colonial, traditional, classic, historical, timeless, elegant, regal, grand, spacious, architectural, wood-framed, brick-exterior, symmetrical, gabled roof, columns, portico, fireplace, formal, ornate, landscaped".split(", "),"High-end penthouse apartment":"Luxury, high-end, penthouse, apartment, upscale, contemporary, modern, stylish, designer, elite, high-rise, rooftop, panoramic, views, spacious, open-plan, top-floor, amenities, concierge, service, exclusive".split(", ")};function ce(n){return Object.entries(ue).map(([e,t])=>`Title: ${e}
 Description: ${t.slice(0,n).join(", ")}
@@ -7,2 +7,2 @@ `).join(`
 Title: ${e.text}
-Description:`}}var h=require("zod"),me=h.z.object({strings:h.z.record(h.z.string(),h.z.string()),modifier:h.z.string()}),at=h.z.object({text:h.z.string()});async function le(n){let e=me.parse(n);for(let t in e.strings)e.modifier=e.modifier.replace(new RegExp(`\\$\\(${t}\\)\\$`,"gm"),e.strings[t]);return{text:e.modifier}}var g=require("zod"),fe=g.z.object({text:g.z.string().or(g.z.array(g.z.string())),modifier:g.z.string()}),pt=g.z.object({text:g.z.string()});async function ye(n){let e=fe.parse(n);return{text:e.modifier.replace(/\$\(text\)\$/gm,Array.isArray(e.text)?e.text.join(", "):e.text)}}var m=require("zod"),D=m.z.object({prompt:m.z.string(),model:m.z.enum(["text-davinci-003","text-curie-001","text-babbage-001","text-ada-001","code-davinci-002","code-cushman-002"]).default("text-davinci-003"),temperature:m.z.number().min(0).max(2).default(.7),top_p:m.z.number().min(0).max(1).default(1),frequency_penalty:m.z.number().min(-2).max(2).default(0),presence_penalty:m.z.number().min(-2).max(2).default(0),max_tokens:m.z.number().default(200),n:m.z.number().default(1)}),he=m.z.object({text:m.z.string()});async function ge(n,e){let t=D.parse(n);return{text:(await(await fetch("https://api.openai.com/v1/completions",{headers:{"Content-Type":"application/json",Authorization:`Bearer ${e.openai}`},method:"POST",body:JSON.stringify(t)})).json()).choices[0]?.text.replace(/^(?:\n)+/gm,"")}}var k=require("eventsource-parser"),N=require("zod");var Se=D.merge(N.z.object({stream:N.z.literal(!0).optional().default(!0)})),ft=N.z.object({stream:N.z.instanceof(globalThis.ReadableStream??Object)});async function xe(n,e){let t=Se.parse(n),o=await fetch("https://api.openai.com/v1/completions",{headers:{"Content-Type":"application/json",Authorization:`Bearer ${e.openai}`},method:"POST",body:JSON.stringify(t)});return{stream:await Ie(o)}}async function Ie(n){let e=new TextEncoder,t=new TextDecoder,o=0;return new ReadableStream({async start(i){function a(s){if(s.type==="event"){let d=s.data;if(d==="[DONE]"){i.close();return}try{let y=JSON.parse(d).choices[0].text;if(o<2&&(y.match(/\n/)||[]).length)return;let v=e.encode(y);i.enqueue(v),o++}catch(c){i.error(c)}}}let p=(0,k.createParser)(a);for await(let s of n.body)p.feed(t.decode(s))}})}var M=require("zod"),Pe=M.z.object({string:M.z.string()}),ht=M.z.object({arrayBuffer:M.z.instanceof(ArrayBuffer)});async function ve(n){let e=Pe.parse(n);return{arrayBuffer:Uint8Array.from(atob(e.string),o=>o.charCodeAt(0)).buffer}}var l=require("zod"),be=l.z.object({text:l.z.string(),speakingRate:l.z.number().min(.25).max(4).optional().default(1),pitch:l.z.number().min(-20).max(20).optional().default(0),encoding:l.z.enum(["MP3","FLAC","LINEAR16","MULAW","AMR","AMR_WB","OGG_OPUS","SPEEX_WITH_HEADER_BYTE","WEBM_OPUS"]).optional().default("MP3"),voice:l.z.object({language:l.z.string().optional().default("en-US"),name:l.z.enum(["en-US-Standard-A","en-US-Standard-C","en-US-Standard-D","en-US-Standard-E","en-US-Standard-F","en-US-Standard-G","en-US-Standard-H","en-US-Standard-I","en-US-Standard-J","en-US-Studio-M","en-US-Studio-O","en-US-Wavenet-A","en-US-Wavenet-B","en-US-Wavenet-C","en-US-Wavenet-D","en-US-Wavenet-E","en-US-Wavenet-F","en-US-Wavenet-G","en-US-Wavenet-H","en-US-Wavenet-I","en-US-Wavenet-J","en-US-News-K","en-US-News-L","en-US-News-M","en-US-News-N","en-US-Standard-A","en-US-Standard-B","en-US-Standard-C","en-US-Standard-D","en-US-Standard-E","en-US-Standard-F","en-US-Standard-G","en-US-Standard-H","en-US-Standard-I","en-US-Standard-J"]).or(l.z.string()).optional().default("en-US-Neural2-C")}).optional().default({language:"en-US",name:"en-US-Neural2-C"})}),St=l.z.object({audio:l.z.string()});async function we(n,e){let t=be.parse(n),o=`https://us-central1-texttospeech.googleapis.com/v1beta1/text:synthesize?key=${e.googleapis}`,r={input:{text:t.text},voice:{languageCode:t.voice.language,name:t.voice.name},audioConfig:{audioEncoding:t.encoding,speakingRate:t.speakingRate,pitch:t.pitch}};return{audio:(await(await fetch(o,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify(r)})).json()).audioContent}}var f=require("zod"),Ne="https://transcribe.whisperapi.com",Me=f.z.object({audioUrl:f.z.string().url(),language:f.z.string().default("en"),autoDetectLanguage:f.z.boolean().default(!1),fileType:f.z.string().default("mp3"),task:f.z.enum(["transcribe","translate"]).default("transcribe")}),It=f.z.object({text:f.z.string()});async function Ae(n,e){let t=Me.parse(n),o=new FormData;o.append("url",t.audioUrl),t.autoDetectLanguage||o.append("language",t.language),o.append("fileType",t.fileType),o.append("task",t.task);let r=await fetch(Ne,{method:"POST",headers:{contentType:"application/json",Authorization:"Bearer "+e.whisperapi},body:o});if(!r.ok)throw new Error(r.statusText);return{text:(await r.json()).text.trim()}}0&&(module.exports={Pipeline,createClient,dalleBase64TextToImage,dalleUrlTextToImage,enhanceWithKeywords,googleImageLabeling,googleTextToSpeech,gpt3Prediction,gpt3PredictionStream,inputSchema,output,outputSchema,replaceMultipleStrings,replaceString,stabilityClipGuidancePreset,stabilityModel,stabilityTextToImage,stringToArrayBuffer,vercelGenericEdge,whisperApi});
+Description:`}}var h=require("zod"),me=h.z.object({strings:h.z.record(h.z.string(),h.z.string()),modifier:h.z.string()}),at=h.z.object({text:h.z.string()});async function le(n){let e=me.parse(n);for(let t in e.strings)e.modifier=e.modifier.replace(new RegExp(`\\$\\(${t}\\)\\$`,"gm"),e.strings[t]);return{text:e.modifier}}var g=require("zod"),fe=g.z.object({text:g.z.string().or(g.z.array(g.z.string())),modifier:g.z.string()}),pt=g.z.object({text:g.z.string()});async function ye(n){let e=fe.parse(n);return{text:e.modifier.replace(/\$\(text\)\$/gm,Array.isArray(e.text)?e.text.join(", "):e.text)}}var m=require("zod"),R=m.z.object({prompt:m.z.string(),model:m.z.enum(["text-davinci-003","text-curie-001","text-babbage-001","text-ada-001","code-davinci-002","code-cushman-002"]).default("text-davinci-003"),temperature:m.z.number().min(0).max(2).default(.7),top_p:m.z.number().min(0).max(1).default(1),frequency_penalty:m.z.number().min(-2).max(2).default(0),presence_penalty:m.z.number().min(-2).max(2).default(0),max_tokens:m.z.number().default(200),n:m.z.number().default(1)}),he=m.z.object({text:m.z.string()});async function ge(n,e){let t=R.parse(n);return{text:(await(await fetch("https://api.openai.com/v1/completions",{headers:{"Content-Type":"application/json",Authorization:`Bearer ${e.openai}`},method:"POST",body:JSON.stringify(t)})).json()).choices[0]?.text.replace(/^(?:\n)+/gm,"")}}var K=require("eventsource-parser"),N=require("zod");var Se=R.merge(N.z.object({stream:N.z.literal(!0).optional().default(!0)})),ft=N.z.object({stream:N.z.instanceof(globalThis.ReadableStream??Object)});async function xe(n,e){let t=Se.parse(n),o=await fetch("https://api.openai.com/v1/completions",{headers:{"Content-Type":"application/json",Authorization:`Bearer ${e.openai}`},method:"POST",body:JSON.stringify(t)});return{stream:await Ie(o)}}async function Ie(n){let e=new TextEncoder,t=new TextDecoder,o=0;return new ReadableStream({async start(i){function a(s){if(s.type==="event"){let d=s.data;if(d==="[DONE]"){i.close();return}try{let y=JSON.parse(d).choices[0].text;if(o<2&&(y.match(/\n/)||[]).length)return;let v=e.encode(y);i.enqueue(v),o++}catch(c){i.error(c)}}}let p=(0,K.createParser)(a);for await(let s of n.body)p.feed(t.decode(s))}})}var M=require("zod"),Pe=M.z.object({string:M.z.string()}),ht=M.z.object({arrayBuffer:M.z.instanceof(ArrayBuffer)});async function ve(n){let e=Pe.parse(n);return{arrayBuffer:Uint8Array.from(atob(e.string),o=>o.charCodeAt(0)).buffer}}var l=require("zod"),be=l.z.object({text:l.z.string(),speakingRate:l.z.number().min(.25).max(4).optional().default(1),pitch:l.z.number().min(-20).max(20).optional().default(0),encoding:l.z.enum(["MP3","FLAC","LINEAR16","MULAW","AMR","AMR_WB","OGG_OPUS","SPEEX_WITH_HEADER_BYTE","WEBM_OPUS"]).optional().default("MP3"),voice:l.z.object({language:l.z.string().optional().default("en-US"),name:l.z.enum(["en-US-Standard-A","en-US-Standard-C","en-US-Standard-D","en-US-Standard-E","en-US-Standard-F","en-US-Standard-G","en-US-Standard-H","en-US-Standard-I","en-US-Standard-J","en-US-Studio-M","en-US-Studio-O","en-US-Wavenet-A","en-US-Wavenet-B","en-US-Wavenet-C","en-US-Wavenet-D","en-US-Wavenet-E","en-US-Wavenet-F","en-US-Wavenet-G","en-US-Wavenet-H","en-US-Wavenet-I","en-US-Wavenet-J","en-US-News-K","en-US-News-L","en-US-News-M","en-US-News-N","en-US-Standard-A","en-US-Standard-B","en-US-Standard-C","en-US-Standard-D","en-US-Standard-E","en-US-Standard-F","en-US-Standard-G","en-US-Standard-H","en-US-Standard-I","en-US-Standard-J"]).or(l.z.string()).optional().default("en-US-Neural2-C")}).optional().default({language:"en-US",name:"en-US-Neural2-C"})}),St=l.z.object({audio:l.z.string()});async function we(n,e){let t=be.parse(n),o=`https://us-central1-texttospeech.googleapis.com/v1beta1/text:synthesize?key=${e.googleapis}`,r={input:{text:t.text},voice:{languageCode:t.voice.language,name:t.voice.name},audioConfig:{audioEncoding:t.encoding,speakingRate:t.speakingRate,pitch:t.pitch}};return{audio:(await(await fetch(o,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify(r)})).json()).audioContent}}var f=require("zod"),Ne="https://transcribe.whisperapi.com",Me=f.z.object({audioUrl:f.z.string().url(),language:f.z.string().default("en"),autoDetectLanguage:f.z.boolean().default(!1),fileType:f.z.string().default("mp3"),task:f.z.enum(["transcribe","translate"]).default("transcribe")}),It=f.z.object({text:f.z.string()});async function Te(n,e){let t=Me.parse(n),o=new FormData;o.append("url",t.audioUrl),t.autoDetectLanguage||o.append("language",t.language),o.append("fileType",t.fileType),o.append("task",t.task);let r=await fetch(Ne,{method:"POST",headers:{contentType:"application/json",Authorization:"Bearer "+e.whisperapi},body:o});if(!r.ok)throw new Error(r.statusText);return{text:(await r.json()).text.trim()}}async function j(n,e){let{pipelineInstanceId:t,userId:o,input:r}=await e.json(),{searchParams:i}=new URL(e.url);if(!i.has("id"))return new Response("Missing id",{status:400});let a=i.get("id"),p=n[a];return{output:await p.invoke(r,{pipelineInstanceId:t,userId:o}),pipeline:p}}function Ae(n){return async e=>{let t=await j(n,e);return t instanceof Response?t:t.pipeline.conf.stream&&t.output instanceof ReadableStream?new Response(t.output):new Response(JSON.stringify(t.output,null,2),{headers:{"content-type":"application/json;charset=UTF-8"}})}}0&&(module.exports={Pipeline,createClient,dalleBase64TextToImage,dalleUrlTextToImage,enhanceWithKeywords,googleImageLabeling,googleTextToSpeech,gpt3Prediction,gpt3PredictionStream,inputSchema,output,outputSchema,replaceMultipleStrings,replaceString,stabilityClipGuidancePreset,stabilityModel,stabilityTextToImage,stringToArrayBuffer,vercelEdgeFunction,vercelGenericEdge,whisperApi});

package.json

 {
   "name": "@aigur/client",
-  "version": "1.1.0",
+  "version": "1.2.0",
   "description": "",
@@ -5,0 +5,0 @@ "main": "./dist/index.js",

src/index.ts

 export * from './Aigur';
+export * from './nodes/nodesDefinitions';
 export * from './Pipeline';
+export * from './vercelEdgeFunction';
 export * from './vercelGenericEdge';
-export * from './nodes/nodesDefinitions';

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