[feat] improved supa/hypa memory
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@@ -1,18 +1,21 @@
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import localforage from "localforage";
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import { similarity } from "ml-distance";
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import { globalFetch } from "src/ts/storage/globalApi";
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import { runEmbedding } from "../embedding/transformers";
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export class HypaProcesser{
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oaikey:string
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vectors:memoryVector[]
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forage:LocalForage
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model:'ada'|'MiniLM'
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constructor(){
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constructor(model:'ada'|'MiniLM'){
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this.forage = localforage.createInstance({
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name: "hypaVector"
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})
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this.vectors = []
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this.model = model
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}
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async embedDocuments(texts: string[]): Promise<number[][]> {
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@@ -33,6 +36,25 @@ export class HypaProcesser{
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async getEmbeds(input:string[]|string) {
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if(this.model === 'MiniLM'){
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const inputs:string[] = Array.isArray(input) ? input : [input]
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let results:Float32Array[] = []
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for(let i=0;i<inputs.length;i++){
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const res = await runEmbedding(inputs[i])
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results.push(res)
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}
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//convert to number[][]
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const result:number[][] = []
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for(let i=0;i<results.length;i++){
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const res = results[i]
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const arr:number[] = []
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for(let j=0;j<res.length;j++){
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arr.push(res[j])
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}
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result.push(arr)
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}
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return result
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}
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const gf = await globalFetch("https://api.openai.com/v1/embeddings", {
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headers: {
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"Authorization": "Bearer " + this.oaikey
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@@ -202,7 +202,7 @@ export async function supaMemory(
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let hypaResult = ""
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if(arg.asHyper){
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const hypa = new HypaProcesser()
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const hypa = new HypaProcesser('MiniLM')
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hypa.oaikey = db.supaMemoryKey
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hypa.vectors = []
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hypaChunks = hypaChunks.filter((value) => value.length > 1)
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@@ -216,6 +216,7 @@ export async function supaMemory(
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role: "assistant",
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content: hypaResult
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})
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currentTokens += 10
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}
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while(currentTokens > maxContextTokens){
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@@ -264,10 +265,11 @@ export async function supaMemory(
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const tokens = await tokenizer.tokenizeChat(cont)
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if((chunkSize + tokens) > maxChunkSize){
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if(stringlizedChat === ''){
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if(cont.role !== 'function' && cont.role !== 'system'){
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stringlizedChat += `${cont.role === 'assistant' ? char.type === 'group' ? '' : char.name : db.username}: ${cont.content}\n\n`
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spiceLen += 1
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currentTokens -= tokens
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chunkSize += tokens
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}
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}
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lastId = cont.memo
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@@ -288,30 +290,21 @@ export async function supaMemory(
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}
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const tokenz = await tokenize(result + '\n\n')
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currentTokens += tokenz
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supaMemory += result.replace(/\n+/g,'\n') + '\n\n'
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hypaChunks.push(result.replace(/\n+/g,'\n'))
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let SupaMemoryList = supaMemory.split('\n\n')
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let SupaMemoryList = supaMemory.split('\n\n').filter((value) => value.length > 1)
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if(SupaMemoryList.length >= (arg.asHyper ? 3 : 4)){
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const oldSupaMemory = supaMemory
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let modifies:string[] = []
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for(let i=0;i<3;i++){
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modifies.push(SupaMemoryList.shift())
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}
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hypaChunks.push(...modifies)
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const result = await summarize(supaMemory)
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if(typeof(result) !== 'string'){
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return result
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}
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modifies.unshift(result.replace(/\n+/g,'\n'))
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supaMemory = modifies.join('\n\n') + '\n\n'
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supaMemory = result
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currentTokens -= await tokenize(oldSupaMemory)
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currentTokens += await tokenize(supaMemory)
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}
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console.log(supaMemory)
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currentTokens += tokenz
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supaMemory += result.replace(/\n+/g,'\n')
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}
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}
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