This commit is contained in:
Kwaroran
2025-05-24 20:39:53 +09:00
7 changed files with 280 additions and 105 deletions

View File

@@ -1974,7 +1974,7 @@ export async function fetchNative(url:string, arg:{
id: fetchId,
url: url,
headers: JSON.stringify(headers),
body: Buffer.from(realBody).toString('base64'),
body: realBody ? Buffer.from(realBody).toString('base64') : '',
method: arg.method
}).then((res) => {
try {
@@ -1994,7 +1994,7 @@ export async function fetchNative(url:string, arg:{
id: fetchId,
url: url,
headers: headers,
body: Buffer.from(realBody).toString('base64'),
body: realBody ? Buffer.from(realBody).toString('base64') : '',
}).then((res) => {
if(!res.success){
error = res.error

View File

@@ -857,6 +857,34 @@ export const LLMModels: LLMModel[] = [
parameters: ClaudeParameters,
tokenizer: LLMTokenizer.Claude
},
{
name: 'Claude 4 Opus (20250514) v1',
id: 'anthropic.claude-opus-4-20250514-v1:0',
provider: LLMProvider.AWS,
format: LLMFormat.AWSBedrockClaude,
flags: [
LLMFlags.hasPrefill,
LLMFlags.hasImageInput,
LLMFlags.hasFirstSystemPrompt,
LLMFlags.claudeThinking
],
parameters: [...ClaudeParameters, 'thinking_tokens'],
tokenizer: LLMTokenizer.Claude
},
{
name: 'Claude 4 Sonnet (20250514) v1',
id: 'anthropic.claude-sonnet-4-20250514-v1:0',
provider: LLMProvider.AWS,
format: LLMFormat.AWSBedrockClaude,
flags: [
LLMFlags.hasPrefill,
LLMFlags.hasImageInput,
LLMFlags.hasFirstSystemPrompt,
LLMFlags.claudeThinking
],
parameters: [...ClaudeParameters, 'thinking_tokens'],
tokenizer: LLMTokenizer.Claude
},
{
name: 'Claude 3.7 Sonnet (20250219) v1',
id: 'anthropic.claude-3-7-sonnet-20250219-v1:0',

View File

@@ -1,6 +1,6 @@
import { getChatVar, hasher, setChatVar, getGlobalChatVar, type simpleCharacterArgument, risuChatParser } from "../parser.svelte";
import { LuaEngine, LuaFactory } from "wasmoon";
import { getCurrentCharacter, getCurrentChat, getDatabase, setDatabase, type Chat, type character, type groupChat, type loreBook } from "../storage/database.svelte";
import { getCurrentCharacter, getCurrentChat, getDatabase, setDatabase, type Chat, type character, type groupChat, type triggerscript } from "../storage/database.svelte";
import { get } from "svelte/store";
import { ReloadGUIPointer, selectedCharID } from "../stores.svelte";
import { alertSelect, alertError, alertInput, alertNormal } from "../alert";
@@ -948,13 +948,16 @@ export async function runLuaEditTrigger<T extends any>(char:character|groupChat|
export async function runLuaButtonTrigger(char:character|groupChat|simpleCharacterArgument, data:string):Promise<any>{
let runResult
try {
const triggers = char.type === 'group' ? getModuleTriggers() : char.triggerscript.concat(getModuleTriggers())
const lowLevelAccess = char.type !== 'simple' ? char.lowLevelAccess ?? false : false
const triggers = char.type === 'group' ? getModuleTriggers() : char.triggerscript.map<triggerscript>((v) => ({
...v,
lowLevelAccess: char.type !== 'simple' ? char.lowLevelAccess ?? false : false
})).concat(getModuleTriggers())
for(let trigger of triggers){
if(trigger?.effect?.[0]?.type === 'triggerlua'){
runResult = await runLua(trigger.effect[0].code, {
char: char,
lowLevelAccess: lowLevelAccess,
lowLevelAccess: trigger.lowLevelAccess,
mode: 'onButtonClick',
data: data
})

View File

@@ -41,7 +41,13 @@ export interface HypaV3Settings {
interface HypaV3Data {
summaries: Summary[];
lastSelectedSummaries?: number[];
lastSelectedSummaries?: number[]; // legacy
metrics?: {
lastImportantSummaries: number[];
lastRecentSummaries: number[];
lastSimilarSummaries: number[];
lastRandomSummaries: number[];
};
}
export interface SerializableHypaV3Data {
@@ -50,7 +56,13 @@ export interface SerializableHypaV3Data {
chatMemos: string[];
isImportant: boolean;
}[];
lastSelectedSummaries?: number[];
lastSelectedSummaries?: number[]; // legacy
metrics?: {
lastImportantSummaries: number[];
lastRecentSummaries: number[];
lastSimilarSummaries: number[];
lastRandomSummaries: number[];
};
}
interface Summary {
@@ -158,14 +170,11 @@ async function hypaMemoryV3MainExp(
currentTokens -= db.maxResponse;
// Load existing hypa data if available
let data: HypaV3Data = {
summaries: [],
lastSelectedSummaries: [],
};
if (room.hypaV3Data) {
data = toHypaV3Data(room.hypaV3Data);
}
const data: HypaV3Data = room.hypaV3Data
? toHypaV3Data(room.hypaV3Data)
: {
summaries: [],
};
// Clean orphaned summaries
if (!settings.preserveOrphanedMemory) {
@@ -464,11 +473,10 @@ async function hypaMemoryV3MainExp(
const selectedSummaries: Summary[] = [];
const randomMemoryRatio =
1 - settings.recentMemoryRatio - settings.similarMemoryRatio;
const selectedImportantSummaries: Summary[] = [];
// Select important summaries
{
const selectedImportantSummaries: Summary[] = [];
for (const summary of data.summaries) {
if (summary.isImportant) {
const summaryTokens = await tokenizer.tokenizeChat({
@@ -505,10 +513,9 @@ async function hypaMemoryV3MainExp(
availableMemoryTokens * settings.recentMemoryRatio
);
let consumedRecentMemoryTokens = 0;
const selectedRecentSummaries: Summary[] = [];
if (settings.recentMemoryRatio > 0) {
const selectedRecentSummaries: Summary[] = [];
// Target only summaries that haven't been selected yet
const unusedSummaries = data.summaries.filter(
(e) => !selectedSummaries.includes(e)
@@ -554,10 +561,9 @@ async function hypaMemoryV3MainExp(
availableMemoryTokens * settings.similarMemoryRatio
);
let consumedSimilarMemoryTokens = 0;
const selectedSimilarSummaries: Summary[] = [];
if (settings.similarMemoryRatio > 0) {
const selectedSimilarSummaries: Summary[] = [];
// Utilize unused token space from recent selection
if (randomMemoryRatio <= 0) {
const unusedRecentTokens =
@@ -769,10 +775,9 @@ async function hypaMemoryV3MainExp(
availableMemoryTokens * randomMemoryRatio
);
let consumedRandomMemoryTokens = 0;
const selectedRandomSummaries: Summary[] = [];
if (randomMemoryRatio > 0) {
const selectedRandomSummaries: Summary[] = [];
// Utilize unused token space from recent and similar selection
const unusedRecentTokens =
reservedRecentMemoryTokens - consumedRecentMemoryTokens;
@@ -872,9 +877,20 @@ async function hypaMemoryV3MainExp(
}
// Save last selected summaries
data.lastSelectedSummaries = selectedSummaries.map((selectedSummary) =>
data.summaries.findIndex((summary) => summary === selectedSummary)
);
data.metrics = {
lastImportantSummaries: selectedImportantSummaries.map((selected) =>
data.summaries.findIndex((sum) => sum === selected)
),
lastRecentSummaries: selectedRecentSummaries.map((selected) =>
data.summaries.findIndex((sum) => sum === selected)
),
lastSimilarSummaries: selectedSimilarSummaries.map((selected) =>
data.summaries.findIndex((sum) => sum === selected)
),
lastRandomSummaries: selectedRandomSummaries.map((selected) =>
data.summaries.findIndex((sum) => sum === selected)
),
};
const newChats: OpenAIChat[] = [
{
@@ -927,14 +943,11 @@ async function hypaMemoryV3Main(
currentTokens -= db.maxResponse;
// Load existing hypa data if available
let data: HypaV3Data = {
summaries: [],
lastSelectedSummaries: [],
};
if (room.hypaV3Data) {
data = toHypaV3Data(room.hypaV3Data);
}
const data: HypaV3Data = room.hypaV3Data
? toHypaV3Data(room.hypaV3Data)
: {
summaries: [],
};
// Clean orphaned summaries
if (!settings.preserveOrphanedMemory) {
@@ -1171,11 +1184,10 @@ async function hypaMemoryV3Main(
const selectedSummaries: Summary[] = [];
const randomMemoryRatio =
1 - settings.recentMemoryRatio - settings.similarMemoryRatio;
const selectedImportantSummaries: Summary[] = [];
// Select important summaries
{
const selectedImportantSummaries: Summary[] = [];
for (const summary of data.summaries) {
if (summary.isImportant) {
const summaryTokens = await tokenizer.tokenizeChat({
@@ -1212,10 +1224,9 @@ async function hypaMemoryV3Main(
availableMemoryTokens * settings.recentMemoryRatio
);
let consumedRecentMemoryTokens = 0;
const selectedRecentSummaries: Summary[] = [];
if (settings.recentMemoryRatio > 0) {
const selectedRecentSummaries: Summary[] = [];
// Target only summaries that haven't been selected yet
const unusedSummaries = data.summaries.filter(
(e) => !selectedSummaries.includes(e)
@@ -1261,10 +1272,9 @@ async function hypaMemoryV3Main(
availableMemoryTokens * settings.similarMemoryRatio
);
let consumedSimilarMemoryTokens = 0;
const selectedSimilarSummaries: Summary[] = [];
if (settings.similarMemoryRatio > 0) {
const selectedSimilarSummaries: Summary[] = [];
// Utilize unused token space from recent selection
if (randomMemoryRatio <= 0) {
const unusedRecentTokens =
@@ -1441,10 +1451,9 @@ async function hypaMemoryV3Main(
availableMemoryTokens * randomMemoryRatio
);
let consumedRandomMemoryTokens = 0;
const selectedRandomSummaries: Summary[] = [];
if (randomMemoryRatio > 0) {
const selectedRandomSummaries: Summary[] = [];
// Utilize unused token space from recent and similar selection
const unusedRecentTokens =
reservedRecentMemoryTokens - consumedRecentMemoryTokens;
@@ -1546,9 +1555,20 @@ async function hypaMemoryV3Main(
}
// Save last selected summaries
data.lastSelectedSummaries = selectedSummaries.map((selectedSummary) =>
data.summaries.findIndex((summary) => summary === selectedSummary)
);
data.metrics = {
lastImportantSummaries: selectedImportantSummaries.map((selected) =>
data.summaries.findIndex((sum) => sum === selected)
),
lastRecentSummaries: selectedRecentSummaries.map((selected) =>
data.summaries.findIndex((sum) => sum === selected)
),
lastSimilarSummaries: selectedSimilarSummaries.map((selected) =>
data.summaries.findIndex((sum) => sum === selected)
),
lastRandomSummaries: selectedRandomSummaries.map((selected) =>
data.summaries.findIndex((sum) => sum === selected)
),
};
const newChats: OpenAIChat[] = [
{
@@ -1578,8 +1598,11 @@ async function hypaMemoryV3Main(
}
function toHypaV3Data(serialData: SerializableHypaV3Data): HypaV3Data {
// Remove legacy property
const { lastSelectedSummaries, ...restData } = serialData;
return {
...serialData,
...restData,
summaries: serialData.summaries.map((summary) => ({
...summary,
// Convert null back to undefined (JSON serialization converts undefined to null)