mirror of
https://github.com/Wx-2025/ST-Amily2-Chat-Optimisation.git
synced 2026-06-11 08:15:50 +00:00
ci: auto build & obfuscate [2026-04-06 00:50:28] (Jenkins #7)
This commit is contained in:
Jenkins CI
File diff suppressed because it is too large
Load Diff
@@ -1,171 +1,195 @@
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import { extension_settings } from "/scripts/extensions.js";
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import { getRequestHeaders } from "/script.js";
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import { extensionName } from "../../utils/settings.js";
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const DEFAULT_CONFIG = {
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apiUrl: "",
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apiKey: "",
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model: "",
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maxTokens: 4000,
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temperature: 0.7
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};
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export function getApiConfig(role) {
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const settings = extension_settings[extensionName] || {};
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const configKey = `acc_${role}_config`;
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return { ...DEFAULT_CONFIG, ...(settings[configKey] || {}) };
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}
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export function setApiConfig(role, config) {
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if (!extension_settings[extensionName]) {
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extension_settings[extensionName] = {};
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}
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const configKey = `acc_${role}_config`;
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extension_settings[extensionName][configKey] = { ...getApiConfig(role), ...config };
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}
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export async function callAi(role, messages, options = {}, onChunk = null) {
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const config = { ...getApiConfig(role), ...options };
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const roleName = role === 'executor' ? '执行者(模型A)' : '规划者(模型B)';
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if (!config.apiUrl || !config.apiKey || !config.model) {
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throw new Error(`[自动构建器] ${roleName} API 配置不完整，请检查 URL、Key 和模型设置。`);
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}
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console.log(`[自动构建器] 正在调用 AI (${roleName})...`, { model: config.model, messagesCount: messages.length, stream: !!onChunk });
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const body = {
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chat_completion_source: 'openai',
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messages: messages,
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model: config.model,
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reverse_proxy: config.apiUrl,
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proxy_password: config.apiKey,
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stream: !!onChunk,
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max_tokens: config.maxTokens > 0 ? config.maxTokens : undefined,
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temperature: config.temperature,
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top_p: 1,
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custom_prompt_post_processing: 'strict',
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enable_web_search: false,
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frequency_penalty: 0,
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presence_penalty: 0,
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};
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try {
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const response = await fetch('/api/backends/chat-completions/generate', {
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method: 'POST',
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headers: { ...getRequestHeaders(), 'Content-Type': 'application/json' },
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body: JSON.stringify(body)
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});
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if (!response.ok) {
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const errorText = await response.text();
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throw new Error(`API 请求失败: ${response.status} - ${errorText}`);
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}
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if (onChunk) {
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const reader = response.body.getReader();
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const decoder = new TextDecoder("utf-8");
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let fullContent = "";
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let buffer = "";
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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buffer += decoder.decode(value, { stream: true });
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const lines = buffer.split('\n');
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buffer = lines.pop();
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for (const line of lines) {
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const trimmedLine = line.trim();
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if (trimmedLine.startsWith('data: ')) {
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const dataStr = trimmedLine.slice(6).trim();
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if (dataStr === '[DONE]') continue;
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try {
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const data = JSON.parse(dataStr);
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const delta = data.choices[0].delta?.content || "";
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if (delta) {
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fullContent += delta;
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onChunk(delta);
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}
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} catch (e) {
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}
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}
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}
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}
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console.log(`[自动构建器] AI (${roleName}) 流式响应结束。长度: ${fullContent.length}`);
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return fullContent;
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} else {
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const responseData = await response.json();
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if (!responseData || !responseData.choices || responseData.choices.length === 0) {
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if (responseData.error) {
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throw new Error(`API 返回错误: ${responseData.error.message || JSON.stringify(responseData.error)}`);
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}
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throw new Error('API 返回了空响应。');
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}
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const content = responseData.choices[0].message?.content;
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if (!content) {
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console.warn(`[自动构建器] AI (${roleName}) 响应内容为空。完整响应:`, responseData);
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if (responseData.choices && responseData.choices[0]) {
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console.warn("Choices[0]:", responseData.choices[0]);
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}
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}
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console.log(`[自动构建器] AI (${roleName}) 响应接收成功。长度: ${content?.length}`);
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return content;
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}
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} catch (error) {
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console.error(`[自动构建器] AI (${roleName}) 调用失败:`, error);
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throw error;
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}
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}
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export async function testConnection(role, config = {}) {
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try {
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const response = await callAi(role, [
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{ role: 'user', content: 'Say hello' }
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], { maxTokens: 50, ...config });
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if (!response) {
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return { success: false, error: "API 返回了空内容 (可能是被安全过滤或模型无响应)" };
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}
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return { success: true };
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} catch (error) {
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console.error(`[自动构建器] ${role} 连接测试失败:`, error);
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return { success: false, error: error.message };
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}
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}
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export async function fetchModels(apiUrl, apiKey) {
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try {
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const response = await fetch('/api/backends/chat-completions/status', {
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method: 'POST',
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headers: { ...getRequestHeaders(), 'Content-Type': 'application/json' },
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body: JSON.stringify({
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reverse_proxy: apiUrl,
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proxy_password: apiKey,
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chat_completion_source: 'openai'
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})
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});
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if (!response.ok) throw new Error(`HTTP ${response.status}`);
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const data = await response.json();
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const models = Array.isArray(data) ? data : (data.data || data.models || []);
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return models.map(m => {
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const id = m.id || m.model || m.name || m;
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return typeof id === 'string' ? id : JSON.stringify(id);
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}).sort();
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} catch (error) {
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console.error('[自动构建器] 获取模型列表失败:', error);
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throw error;
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}
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}
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import { extension_settings } from "/scripts/extensions.js";
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import { getRequestHeaders } from "/script.js";
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import { extensionName } from "../../utils/settings.js";
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import { getSlotProfile } from '../api/api-resolver.js';
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const DEFAULT_CONFIG = {
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apiUrl: "",
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apiKey: "",
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model: "",
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maxTokens: 4000,
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temperature: 0.7
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};
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/** 同步读取旧版配置（UI 加载 / 保存用） */
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export function getApiConfig(role) {
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const settings = extension_settings[extensionName] || {};
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const configKey = `acc_${role}_config`;
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return { ...DEFAULT_CONFIG, ...(settings[configKey] || {}) };
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}
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/** 异步读取配置：Profile 优先，fallback 到旧版 */
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async function _resolveConfig(role) {
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const profile = await getSlotProfile('autoCharCard');
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if (profile) {
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return {
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apiUrl: profile.apiUrl,
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apiKey: profile.apiKey ?? '',
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model: profile.model,
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maxTokens: profile.maxTokens ?? DEFAULT_CONFIG.maxTokens,
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temperature: profile.temperature ?? DEFAULT_CONFIG.temperature,
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};
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}
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return getApiConfig(role);
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}
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export function setApiConfig(role, config) {
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if (!extension_settings[extensionName]) {
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extension_settings[extensionName] = {};
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}
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const configKey = `acc_${role}_config`;
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extension_settings[extensionName][configKey] = { ...getApiConfig(role), ...config };
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}
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export async function callAi(role, messages, options = {}, onChunk = null) {
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const config = { ...(await _resolveConfig(role)), ...options };
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const roleName = role === 'executor' ? '执行者(模型A)' : '规划者(模型B)';
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if (!config.apiUrl || !config.apiKey || !config.model) {
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throw new Error(`[自动构建器] ${roleName} API 配置不完整，请检查 URL、Key 和模型设置。`);
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}
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console.log(`[自动构建器] 正在调用 AI (${roleName})...`, { model: config.model, messagesCount: messages.length, stream: !!onChunk });
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const body = {
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chat_completion_source: 'openai',
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messages: messages,
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model: config.model,
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reverse_proxy: config.apiUrl,
|
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proxy_password: config.apiKey,
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stream: !!onChunk,
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max_tokens: config.maxTokens > 0 ? config.maxTokens : undefined,
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temperature: config.temperature,
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top_p: 1,
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custom_prompt_post_processing: 'strict',
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enable_web_search: false,
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frequency_penalty: 0,
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presence_penalty: 0,
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};
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try {
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const response = await fetch('/api/backends/chat-completions/generate', {
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method: 'POST',
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headers: { ...getRequestHeaders(), 'Content-Type': 'application/json' },
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body: JSON.stringify(body)
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});
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|
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if (!response.ok) {
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const errorText = await response.text();
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throw new Error(`API 请求失败: ${response.status} - ${errorText}`);
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}
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|
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if (onChunk) {
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const reader = response.body.getReader();
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const decoder = new TextDecoder("utf-8");
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||||
let fullContent = "";
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let buffer = "";
|
||||
|
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while (true) {
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const { done, value } = await reader.read();
|
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if (done) break;
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||||
|
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buffer += decoder.decode(value, { stream: true });
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const lines = buffer.split('\n');
|
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buffer = lines.pop();
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||||
|
||||
for (const line of lines) {
|
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const trimmedLine = line.trim();
|
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if (trimmedLine.startsWith('data: ')) {
|
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const dataStr = trimmedLine.slice(6).trim();
|
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if (dataStr === '[DONE]') continue;
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try {
|
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const data = JSON.parse(dataStr);
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const delta = data.choices[0].delta?.content || "";
|
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if (delta) {
|
||||
fullContent += delta;
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onChunk(delta);
|
||||
}
|
||||
} catch (e) {
|
||||
|
||||
}
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||||
}
|
||||
}
|
||||
}
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console.log(`[自动构建器] AI (${roleName}) 流式响应结束。长度: ${fullContent.length}`);
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return fullContent;
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} else {
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const responseData = await response.json();
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||||
|
||||
if (!responseData || !responseData.choices || responseData.choices.length === 0) {
|
||||
if (responseData.error) {
|
||||
throw new Error(`API 返回错误: ${responseData.error.message || JSON.stringify(responseData.error)}`);
|
||||
}
|
||||
throw new Error('API 返回了空响应。');
|
||||
}
|
||||
|
||||
const content = responseData.choices[0].message?.content;
|
||||
|
||||
if (!content) {
|
||||
console.warn(`[自动构建器] AI (${roleName}) 响应内容为空。完整响应:`, responseData);
|
||||
if (responseData.choices && responseData.choices[0]) {
|
||||
console.warn("Choices[0]:", responseData.choices[0]);
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`[自动构建器] AI (${roleName}) 响应接收成功。长度: ${content?.length}`);
|
||||
return content;
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
console.error(`[自动构建器] AI (${roleName}) 调用失败:`, error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
export async function testConnection(role, config = {}) {
|
||||
try {
|
||||
const response = await callAi(role, [
|
||||
{ role: 'user', content: 'Say hello' }
|
||||
], { maxTokens: 50, ...config });
|
||||
|
||||
if (!response) {
|
||||
return { success: false, error: "API 返回了空内容 (可能是被安全过滤或模型无响应)" };
|
||||
}
|
||||
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error(`[自动构建器] ${role} 连接测试失败:`, error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
export async function fetchModels(apiUrl, apiKey) {
|
||||
// 若未传参，尝试从 Profile 或旧配置读取
|
||||
if (!apiUrl || !apiKey) {
|
||||
const resolved = await _resolveConfig('executor');
|
||||
apiUrl = apiUrl || resolved.apiUrl;
|
||||
apiKey = apiKey || resolved.apiKey;
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await fetch('/api/backends/chat-completions/status', {
|
||||
method: 'POST',
|
||||
headers: { ...getRequestHeaders(), 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
reverse_proxy: apiUrl,
|
||||
proxy_password: apiKey,
|
||||
chat_completion_source: 'openai'
|
||||
})
|
||||
});
|
||||
|
||||
if (!response.ok) throw new Error(`HTTP ${response.status}`);
|
||||
|
||||
const data = await response.json();
|
||||
const models = Array.isArray(data) ? data : (data.data || data.models || []);
|
||||
|
||||
return models.map(m => {
|
||||
const id = m.id || m.model || m.name || m;
|
||||
return typeof id === 'string' ? id : JSON.stringify(id);
|
||||
}).sort();
|
||||
|
||||
} catch (error) {
|
||||
console.error('[自动构建器] 获取模型列表失败:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,272 +1,272 @@
|
||||
import { characters, saveCharacterDebounced, this_chid, getCharacters, getRequestHeaders } from "/script.js";
|
||||
import { getContext } from "/scripts/extensions.js";
|
||||
import { extensionName } from "../../utils/settings.js";
|
||||
|
||||
async function saveCharacterById(chid) {
|
||||
let currentChid = undefined;
|
||||
|
||||
|
||||
try {
|
||||
const context = getContext();
|
||||
if (context) currentChid = context.characterId;
|
||||
} catch (e) {}
|
||||
|
||||
|
||||
if (currentChid === undefined) currentChid = this_chid;
|
||||
|
||||
|
||||
if (currentChid === undefined && typeof window !== 'undefined' && window.this_chid !== undefined) {
|
||||
currentChid = window.this_chid;
|
||||
}
|
||||
|
||||
|
||||
if (currentChid === undefined && typeof $ !== 'undefined') {
|
||||
|
||||
const selected = $('.character_select.selected, .character-list-item.selected');
|
||||
if (selected.length) {
|
||||
currentChid = selected.attr('chid');
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
if (typeof saveCharacterDebounced === 'function') {
|
||||
|
||||
|
||||
|
||||
if (currentChid === undefined || chid == currentChid) {
|
||||
saveCharacterDebounced();
|
||||
console.log(`[Amily2 CharAPI] Triggered saveCharacterDebounced for character ${chid} (Detected: ${currentChid})`);
|
||||
return { success: true };
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
try {
|
||||
const formData = new FormData();
|
||||
formData.append('avatar_url', char.avatar);
|
||||
formData.append('ch_name', char.name);
|
||||
formData.append('description', char.description || '');
|
||||
formData.append('personality', char.personality || '');
|
||||
formData.append('scenario', char.scenario || '');
|
||||
formData.append('first_mes', char.first_mes || '');
|
||||
formData.append('mes_example', char.mes_example || '');
|
||||
formData.append('creator', char.creator || '');
|
||||
formData.append('creator_notes', char.creator_notes || '');
|
||||
formData.append('tags', Array.isArray(char.tags) ? char.tags.join(',') : (char.tags || ''));
|
||||
formData.append('talkativeness', char.talkativeness || '0.5');
|
||||
formData.append('fav', char.fav || 'false');
|
||||
|
||||
if (char.data) {
|
||||
formData.append('extensions', JSON.stringify(char.data));
|
||||
}
|
||||
|
||||
|
||||
if (char.data && Array.isArray(char.data.alternate_greetings)) {
|
||||
for (const value of char.data.alternate_greetings) {
|
||||
formData.append('alternate_greetings', value);
|
||||
}
|
||||
}
|
||||
|
||||
const response = await fetch('/api/characters/edit', {
|
||||
method: 'POST',
|
||||
headers: getRequestHeaders({ omitContentType: true }),
|
||||
body: formData
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
const errorText = await response.text();
|
||||
console.error(`[Amily2 CharAPI] Failed to save character ${chid}:`, response.statusText, errorText);
|
||||
return { success: false, message: `Save failed: ${response.statusText}` };
|
||||
} else {
|
||||
console.log(`[Amily2 CharAPI] Successfully saved character ${chid} (Background)`);
|
||||
return { success: true };
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(`[Amily2 CharAPI] Error saving character ${chid}:`, e);
|
||||
return { success: false, message: `Save error: ${e.message}` };
|
||||
}
|
||||
}
|
||||
|
||||
export function getCharacter(chid = this_chid) {
|
||||
if (chid === undefined || chid < 0 || !characters[chid]) {
|
||||
console.warn(`[Amily2 CharAPI] Invalid character ID: ${chid}`);
|
||||
return null;
|
||||
}
|
||||
return characters[chid];
|
||||
}
|
||||
|
||||
export async function updateCharacter(chid, updates) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return false;
|
||||
|
||||
let changed = false;
|
||||
const fields = ['name', 'description', 'personality', 'scenario', 'first_mes', 'mes_example'];
|
||||
|
||||
fields.forEach(field => {
|
||||
if (updates[field] !== undefined && char[field] !== updates[field]) {
|
||||
char[field] = updates[field];
|
||||
changed = true;
|
||||
}
|
||||
});
|
||||
|
||||
if (changed) {
|
||||
const success = await saveCharacterById(chid);
|
||||
if (success) {
|
||||
console.log(`[Amily2 CharAPI] Updated character ${chid}:`, Object.keys(updates));
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
export function getFirstMessages(chid) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return [];
|
||||
|
||||
const messages = [char.first_mes];
|
||||
if (char.data && Array.isArray(char.data.alternate_greetings)) {
|
||||
messages.push(...char.data.alternate_greetings);
|
||||
}
|
||||
return messages;
|
||||
}
|
||||
|
||||
export async function addFirstMessage(chid, message) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return false;
|
||||
|
||||
if (!char.data) char.data = {};
|
||||
if (!Array.isArray(char.data.alternate_greetings)) {
|
||||
char.data.alternate_greetings = [];
|
||||
}
|
||||
|
||||
char.data.alternate_greetings.push(message);
|
||||
const success = await saveCharacterById(chid);
|
||||
if (success) {
|
||||
console.log(`[Amily2 CharAPI] Added alternate greeting to character ${chid}`);
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
export async function updateFirstMessage(chid, index, message) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return false;
|
||||
|
||||
if (index === 0) {
|
||||
char.first_mes = message;
|
||||
} else {
|
||||
const altIndex = index - 1;
|
||||
if (char.data && Array.isArray(char.data.alternate_greetings) && char.data.alternate_greetings[altIndex] !== undefined) {
|
||||
char.data.alternate_greetings[altIndex] = message;
|
||||
} else {
|
||||
console.warn(`[Amily2 CharAPI] Alternate greeting index out of bounds: ${altIndex}`);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
const success = await saveCharacterById(chid);
|
||||
if (success) {
|
||||
console.log(`[Amily2 CharAPI] Updated greeting ${index} for character ${chid}`);
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
export async function removeFirstMessage(chid, index) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return false;
|
||||
|
||||
if (index === 0) {
|
||||
console.warn(`[Amily2 CharAPI] Cannot remove main greeting, clearing instead.`);
|
||||
char.first_mes = "";
|
||||
} else {
|
||||
const altIndex = index - 1;
|
||||
if (char.data && Array.isArray(char.data.alternate_greetings) && char.data.alternate_greetings[altIndex] !== undefined) {
|
||||
char.data.alternate_greetings.splice(altIndex, 1);
|
||||
} else {
|
||||
console.warn(`[Amily2 CharAPI] Alternate greeting index out of bounds: ${altIndex}`);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
const success = await saveCharacterById(chid);
|
||||
if (success) {
|
||||
console.log(`[Amily2 CharAPI] Removed greeting ${index} for character ${chid}`);
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
export async function createNewCharacter(name) {
|
||||
try {
|
||||
const formData = new FormData();
|
||||
formData.append('ch_name', name);
|
||||
formData.append('description', '');
|
||||
formData.append('personality', '');
|
||||
formData.append('scenario', '');
|
||||
formData.append('first_mes', 'Hello!');
|
||||
formData.append('mes_example', '');
|
||||
formData.append('creator', 'Amily2-AutoChar');
|
||||
formData.append('creator_notes', 'Character created automatically by Amily2 AutoChar Card.');
|
||||
formData.append('tags', '');
|
||||
formData.append('character_version', '1.0');
|
||||
formData.append('post_history_instructions', '');
|
||||
formData.append('system_prompt', '');
|
||||
formData.append('talkativeness', '0.5');
|
||||
formData.append('extensions', '{}');
|
||||
formData.append('fav', 'false');
|
||||
|
||||
formData.append('world', '');
|
||||
formData.append('depth_prompt_prompt', '');
|
||||
formData.append('depth_prompt_depth', '4');
|
||||
formData.append('depth_prompt_role', 'system');
|
||||
|
||||
try {
|
||||
const res = await fetch(`scripts/extensions/third-party/${extensionName}/core/auto-char-card/Amily.png`);
|
||||
if (res.ok) {
|
||||
const blob = await res.blob();
|
||||
formData.append('avatar', blob, 'default.png');
|
||||
} else {
|
||||
throw new Error('Failed to fetch default avatar');
|
||||
}
|
||||
} catch (e) {
|
||||
console.warn("[Amily2 CharAPI] Failed to load default avatar, using fallback 1x1 PNG.", e);
|
||||
const base64Png = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==";
|
||||
const byteCharacters = atob(base64Png);
|
||||
const byteNumbers = new Array(byteCharacters.length);
|
||||
for (let i = 0; i < byteCharacters.length; i++) {
|
||||
byteNumbers[i] = byteCharacters.charCodeAt(i);
|
||||
}
|
||||
const byteArray = new Uint8Array(byteNumbers);
|
||||
const blob = new Blob([byteArray], { type: 'image/png' });
|
||||
formData.append('avatar', blob, 'default.png');
|
||||
}
|
||||
|
||||
const response = await fetch('/api/characters/create', {
|
||||
method: 'POST',
|
||||
headers: getRequestHeaders({ omitContentType: true }),
|
||||
body: formData,
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
const avatarId = await response.text();
|
||||
console.log(`[Amily2 CharAPI] Created character: ${name}, Avatar ID: ${avatarId}`);
|
||||
|
||||
await getCharacters();
|
||||
|
||||
const newChid = characters.findIndex(c => c.avatar === avatarId);
|
||||
if (newChid !== -1) {
|
||||
return newChid;
|
||||
}
|
||||
|
||||
return -2;
|
||||
} else {
|
||||
console.error(`[Amily2 CharAPI] Failed to create character: ${response.statusText}`);
|
||||
return -1;
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`[Amily2 CharAPI] Error creating character:`, error);
|
||||
return -1;
|
||||
}
|
||||
}
|
||||
import { characters, saveCharacterDebounced, this_chid, getCharacters, getRequestHeaders } from "/script.js";
|
||||
import { getContext } from "/scripts/extensions.js";
|
||||
import { extensionName } from "../../utils/settings.js";
|
||||
|
||||
async function saveCharacterById(chid) {
|
||||
let currentChid = undefined;
|
||||
|
||||
|
||||
try {
|
||||
const context = getContext();
|
||||
if (context) currentChid = context.characterId;
|
||||
} catch (e) {}
|
||||
|
||||
|
||||
if (currentChid === undefined) currentChid = this_chid;
|
||||
|
||||
|
||||
if (currentChid === undefined && typeof window !== 'undefined' && window.this_chid !== undefined) {
|
||||
currentChid = window.this_chid;
|
||||
}
|
||||
|
||||
|
||||
if (currentChid === undefined && typeof $ !== 'undefined') {
|
||||
|
||||
const selected = $('.character_select.selected, .character-list-item.selected');
|
||||
if (selected.length) {
|
||||
currentChid = selected.attr('chid');
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
if (typeof saveCharacterDebounced === 'function') {
|
||||
|
||||
|
||||
|
||||
if (currentChid === undefined || chid == currentChid) {
|
||||
saveCharacterDebounced();
|
||||
console.log(`[Amily2 CharAPI] Triggered saveCharacterDebounced for character ${chid} (Detected: ${currentChid})`);
|
||||
return { success: true };
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
try {
|
||||
const formData = new FormData();
|
||||
formData.append('avatar_url', char.avatar);
|
||||
formData.append('ch_name', char.name);
|
||||
formData.append('description', char.description || '');
|
||||
formData.append('personality', char.personality || '');
|
||||
formData.append('scenario', char.scenario || '');
|
||||
formData.append('first_mes', char.first_mes || '');
|
||||
formData.append('mes_example', char.mes_example || '');
|
||||
formData.append('creator', char.creator || '');
|
||||
formData.append('creator_notes', char.creator_notes || '');
|
||||
formData.append('tags', Array.isArray(char.tags) ? char.tags.join(',') : (char.tags || ''));
|
||||
formData.append('talkativeness', char.talkativeness || '0.5');
|
||||
formData.append('fav', char.fav || 'false');
|
||||
|
||||
if (char.data) {
|
||||
formData.append('extensions', JSON.stringify(char.data));
|
||||
}
|
||||
|
||||
|
||||
if (char.data && Array.isArray(char.data.alternate_greetings)) {
|
||||
for (const value of char.data.alternate_greetings) {
|
||||
formData.append('alternate_greetings', value);
|
||||
}
|
||||
}
|
||||
|
||||
const response = await fetch('/api/characters/edit', {
|
||||
method: 'POST',
|
||||
headers: getRequestHeaders({ omitContentType: true }),
|
||||
body: formData
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
const errorText = await response.text();
|
||||
console.error(`[Amily2 CharAPI] Failed to save character ${chid}:`, response.statusText, errorText);
|
||||
return { success: false, message: `Save failed: ${response.statusText}` };
|
||||
} else {
|
||||
console.log(`[Amily2 CharAPI] Successfully saved character ${chid} (Background)`);
|
||||
return { success: true };
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(`[Amily2 CharAPI] Error saving character ${chid}:`, e);
|
||||
return { success: false, message: `Save error: ${e.message}` };
|
||||
}
|
||||
}
|
||||
|
||||
export function getCharacter(chid = this_chid) {
|
||||
if (chid === undefined || chid < 0 || !characters[chid]) {
|
||||
console.warn(`[Amily2 CharAPI] Invalid character ID: ${chid}`);
|
||||
return null;
|
||||
}
|
||||
return characters[chid];
|
||||
}
|
||||
|
||||
export async function updateCharacter(chid, updates) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return false;
|
||||
|
||||
let changed = false;
|
||||
const fields = ['name', 'description', 'personality', 'scenario', 'first_mes', 'mes_example'];
|
||||
|
||||
fields.forEach(field => {
|
||||
if (updates[field] !== undefined && char[field] !== updates[field]) {
|
||||
char[field] = updates[field];
|
||||
changed = true;
|
||||
}
|
||||
});
|
||||
|
||||
if (changed) {
|
||||
const success = await saveCharacterById(chid);
|
||||
if (success) {
|
||||
console.log(`[Amily2 CharAPI] Updated character ${chid}:`, Object.keys(updates));
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
export function getFirstMessages(chid) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return [];
|
||||
|
||||
const messages = [char.first_mes];
|
||||
if (char.data && Array.isArray(char.data.alternate_greetings)) {
|
||||
messages.push(...char.data.alternate_greetings);
|
||||
}
|
||||
return messages;
|
||||
}
|
||||
|
||||
export async function addFirstMessage(chid, message) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return false;
|
||||
|
||||
if (!char.data) char.data = {};
|
||||
if (!Array.isArray(char.data.alternate_greetings)) {
|
||||
char.data.alternate_greetings = [];
|
||||
}
|
||||
|
||||
char.data.alternate_greetings.push(message);
|
||||
const success = await saveCharacterById(chid);
|
||||
if (success) {
|
||||
console.log(`[Amily2 CharAPI] Added alternate greeting to character ${chid}`);
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
export async function updateFirstMessage(chid, index, message) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return false;
|
||||
|
||||
if (index === 0) {
|
||||
char.first_mes = message;
|
||||
} else {
|
||||
const altIndex = index - 1;
|
||||
if (char.data && Array.isArray(char.data.alternate_greetings) && char.data.alternate_greetings[altIndex] !== undefined) {
|
||||
char.data.alternate_greetings[altIndex] = message;
|
||||
} else {
|
||||
console.warn(`[Amily2 CharAPI] Alternate greeting index out of bounds: ${altIndex}`);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
const success = await saveCharacterById(chid);
|
||||
if (success) {
|
||||
console.log(`[Amily2 CharAPI] Updated greeting ${index} for character ${chid}`);
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
export async function removeFirstMessage(chid, index) {
|
||||
const char = getCharacter(chid);
|
||||
if (!char) return false;
|
||||
|
||||
if (index === 0) {
|
||||
console.warn(`[Amily2 CharAPI] Cannot remove main greeting, clearing instead.`);
|
||||
char.first_mes = "";
|
||||
} else {
|
||||
const altIndex = index - 1;
|
||||
if (char.data && Array.isArray(char.data.alternate_greetings) && char.data.alternate_greetings[altIndex] !== undefined) {
|
||||
char.data.alternate_greetings.splice(altIndex, 1);
|
||||
} else {
|
||||
console.warn(`[Amily2 CharAPI] Alternate greeting index out of bounds: ${altIndex}`);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
const success = await saveCharacterById(chid);
|
||||
if (success) {
|
||||
console.log(`[Amily2 CharAPI] Removed greeting ${index} for character ${chid}`);
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
export async function createNewCharacter(name) {
|
||||
try {
|
||||
const formData = new FormData();
|
||||
formData.append('ch_name', name);
|
||||
formData.append('description', '');
|
||||
formData.append('personality', '');
|
||||
formData.append('scenario', '');
|
||||
formData.append('first_mes', 'Hello!');
|
||||
formData.append('mes_example', '');
|
||||
formData.append('creator', 'Amily2-AutoChar');
|
||||
formData.append('creator_notes', 'Character created automatically by Amily2 AutoChar Card.');
|
||||
formData.append('tags', '');
|
||||
formData.append('character_version', '1.0');
|
||||
formData.append('post_history_instructions', '');
|
||||
formData.append('system_prompt', '');
|
||||
formData.append('talkativeness', '0.5');
|
||||
formData.append('extensions', '{}');
|
||||
formData.append('fav', 'false');
|
||||
|
||||
formData.append('world', '');
|
||||
formData.append('depth_prompt_prompt', '');
|
||||
formData.append('depth_prompt_depth', '4');
|
||||
formData.append('depth_prompt_role', 'system');
|
||||
|
||||
try {
|
||||
const res = await fetch(`scripts/extensions/third-party/${extensionName}/core/auto-char-card/Amily.png`);
|
||||
if (res.ok) {
|
||||
const blob = await res.blob();
|
||||
formData.append('avatar', blob, 'default.png');
|
||||
} else {
|
||||
throw new Error('Failed to fetch default avatar');
|
||||
}
|
||||
} catch (e) {
|
||||
console.warn("[Amily2 CharAPI] Failed to load default avatar, using fallback 1x1 PNG.", e);
|
||||
const base64Png = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==";
|
||||
const byteCharacters = atob(base64Png);
|
||||
const byteNumbers = new Array(byteCharacters.length);
|
||||
for (let i = 0; i < byteCharacters.length; i++) {
|
||||
byteNumbers[i] = byteCharacters.charCodeAt(i);
|
||||
}
|
||||
const byteArray = new Uint8Array(byteNumbers);
|
||||
const blob = new Blob([byteArray], { type: 'image/png' });
|
||||
formData.append('avatar', blob, 'default.png');
|
||||
}
|
||||
|
||||
const response = await fetch('/api/characters/create', {
|
||||
method: 'POST',
|
||||
headers: getRequestHeaders({ omitContentType: true }),
|
||||
body: formData,
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
const avatarId = await response.text();
|
||||
console.log(`[Amily2 CharAPI] Created character: ${name}, Avatar ID: ${avatarId}`);
|
||||
|
||||
await getCharacters();
|
||||
|
||||
const newChid = characters.findIndex(c => c.avatar === avatarId);
|
||||
if (newChid !== -1) {
|
||||
return newChid;
|
||||
}
|
||||
|
||||
return -2;
|
||||
} else {
|
||||
console.error(`[Amily2 CharAPI] Failed to create character: ${response.statusText}`);
|
||||
return -1;
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`[Amily2 CharAPI] Error creating character:`, error);
|
||||
return -1;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,128 +1,156 @@
|
||||
export class ContextManager {
|
||||
constructor() {
|
||||
this.keepToolOutputTurns = 5;
|
||||
this.tokenLimit = 100000;
|
||||
this.rules = [];
|
||||
this.worldInfo = [];
|
||||
this.activeWorldInfoCache = new Map();
|
||||
this.cacheDuration = 3;
|
||||
}
|
||||
|
||||
addRule(rule) {
|
||||
this.rules.push({
|
||||
id: rule.id || Date.now().toString(),
|
||||
keyword: rule.keyword || null,
|
||||
content: rule.content,
|
||||
enabled: rule.enabled !== undefined ? rule.enabled : true
|
||||
});
|
||||
}
|
||||
|
||||
setWorldInfo(entries) {
|
||||
this.worldInfo = entries.map(entry => {
|
||||
let keys = [];
|
||||
if (Array.isArray(entry.key)) {
|
||||
keys = entry.key;
|
||||
} else if (typeof entry.key === 'string') {
|
||||
keys = entry.key.split(',').map(k => k.trim()).filter(k => k);
|
||||
}
|
||||
|
||||
return {
|
||||
id: entry.uid,
|
||||
keys: keys,
|
||||
content: entry.content,
|
||||
enabled: entry.enabled !== false
|
||||
};
|
||||
});
|
||||
}
|
||||
|
||||
getRelevantContext(contextText) {
|
||||
const relevantRules = this.rules.filter(rule => {
|
||||
if (!rule.enabled) return false;
|
||||
if (!rule.keyword) return true;
|
||||
return contextText.includes(rule.keyword);
|
||||
});
|
||||
|
||||
const currentMatches = this.worldInfo.filter(entry => {
|
||||
if (!entry.enabled) return false;
|
||||
if (!entry.keys || entry.keys.length === 0) return false;
|
||||
return entry.keys.some(key => contextText.includes(key));
|
||||
});
|
||||
|
||||
for (const [uid, data] of this.activeWorldInfoCache) {
|
||||
data.turnsLeft--;
|
||||
if (data.turnsLeft <= 0) {
|
||||
this.activeWorldInfoCache.delete(uid);
|
||||
}
|
||||
}
|
||||
|
||||
currentMatches.forEach(entry => {
|
||||
this.activeWorldInfoCache.set(entry.id, { turnsLeft: this.cacheDuration });
|
||||
});
|
||||
|
||||
const allRelevantUIDs = new Set([...currentMatches.map(e => e.id), ...this.activeWorldInfoCache.keys()]);
|
||||
|
||||
const relevantWorldInfo = this.worldInfo.filter(entry => allRelevantUIDs.has(entry.id));
|
||||
|
||||
return {
|
||||
rules: relevantRules,
|
||||
worldInfo: relevantWorldInfo
|
||||
};
|
||||
}
|
||||
|
||||
estimateTokens(text) {
|
||||
return Math.ceil((text || '').length / 3.5);
|
||||
}
|
||||
|
||||
buildMessages(systemPrompt, history, maxTokens) {
|
||||
const limit = maxTokens || this.tokenLimit;
|
||||
const systemTokens = this.estimateTokens(systemPrompt);
|
||||
let availableTokens = limit - systemTokens - 1000;
|
||||
|
||||
if (availableTokens < 0) availableTokens = 1000;
|
||||
|
||||
const optimizedHistory = this.optimizeToolOutputs(history);
|
||||
|
||||
const finalMessages = [];
|
||||
let currentTokens = 0;
|
||||
|
||||
for (let i = optimizedHistory.length - 1; i >= 0; i--) {
|
||||
const msg = optimizedHistory[i];
|
||||
const msgTokens = this.estimateTokens(msg.content);
|
||||
|
||||
if (currentTokens + msgTokens > availableTokens) {
|
||||
finalMessages.unshift({ role: 'system', content: "[Earlier history truncated to save tokens]" });
|
||||
break;
|
||||
}
|
||||
|
||||
finalMessages.unshift(msg);
|
||||
currentTokens += msgTokens;
|
||||
}
|
||||
|
||||
return [
|
||||
{ role: 'system', content: systemPrompt },
|
||||
...finalMessages
|
||||
];
|
||||
}
|
||||
|
||||
optimizeToolOutputs(history) {
|
||||
let toolOutputCount = 0;
|
||||
const reversedHistory = [...history].reverse();
|
||||
|
||||
const processedReversed = reversedHistory.map((msg) => {
|
||||
if (msg.role === 'user' && msg.content.startsWith('[Tool Result')) {
|
||||
toolOutputCount++;
|
||||
|
||||
if (toolOutputCount > this.keepToolOutputTurns) {
|
||||
const firstLine = msg.content.split('\n')[0];
|
||||
return {
|
||||
role: msg.role,
|
||||
content: `${firstLine}\n[Content hidden to save tokens. The tool was executed successfully.]`
|
||||
};
|
||||
}
|
||||
}
|
||||
return msg;
|
||||
});
|
||||
|
||||
return processedReversed.reverse();
|
||||
}
|
||||
}
|
||||
export class ContextManager {
|
||||
constructor() {
|
||||
this.keepToolOutputTurns = 5;
|
||||
this.tokenLimit = 100000;
|
||||
this.rules = this.loadRules();
|
||||
this.worldInfo = [];
|
||||
this.activeWorldInfoCache = new Map();
|
||||
this.cacheDuration = 3;
|
||||
}
|
||||
|
||||
loadRules() {
|
||||
try {
|
||||
const savedRules = localStorage.getItem('amily2_acc_rules');
|
||||
if (savedRules) {
|
||||
return JSON.parse(savedRules);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error('[AutoCharCard] Failed to load rules:', e);
|
||||
}
|
||||
return [];
|
||||
}
|
||||
|
||||
saveRules() {
|
||||
try {
|
||||
localStorage.setItem('amily2_acc_rules', JSON.stringify(this.rules));
|
||||
} catch (e) {
|
||||
console.error('[AutoCharCard] Failed to save rules:', e);
|
||||
}
|
||||
}
|
||||
|
||||
addRule(rule) {
|
||||
this.rules.push({
|
||||
id: rule.id || Date.now().toString(),
|
||||
keyword: rule.keyword || null,
|
||||
content: rule.content,
|
||||
enabled: rule.enabled !== undefined ? rule.enabled : true
|
||||
});
|
||||
this.saveRules();
|
||||
}
|
||||
|
||||
removeRule(index) {
|
||||
if (index >= 0 && index < this.rules.length) {
|
||||
this.rules.splice(index, 1);
|
||||
this.saveRules();
|
||||
}
|
||||
}
|
||||
|
||||
setWorldInfo(entries) {
|
||||
this.worldInfo = entries.map(entry => {
|
||||
let keys = [];
|
||||
if (Array.isArray(entry.key)) {
|
||||
keys = entry.key;
|
||||
} else if (typeof entry.key === 'string') {
|
||||
keys = entry.key.split(',').map(k => k.trim()).filter(k => k);
|
||||
}
|
||||
|
||||
return {
|
||||
id: entry.uid,
|
||||
keys: keys,
|
||||
content: entry.content,
|
||||
enabled: entry.enabled !== false
|
||||
};
|
||||
});
|
||||
}
|
||||
|
||||
getRelevantContext(contextText) {
|
||||
const relevantRules = this.rules.filter(rule => {
|
||||
if (!rule.enabled) return false;
|
||||
if (!rule.keyword) return true;
|
||||
return contextText.includes(rule.keyword);
|
||||
});
|
||||
|
||||
const currentMatches = this.worldInfo.filter(entry => {
|
||||
if (!entry.enabled) return false;
|
||||
if (!entry.keys || entry.keys.length === 0) return false;
|
||||
return entry.keys.some(key => contextText.includes(key));
|
||||
});
|
||||
|
||||
for (const [uid, data] of this.activeWorldInfoCache) {
|
||||
data.turnsLeft--;
|
||||
if (data.turnsLeft <= 0) {
|
||||
this.activeWorldInfoCache.delete(uid);
|
||||
}
|
||||
}
|
||||
|
||||
currentMatches.forEach(entry => {
|
||||
this.activeWorldInfoCache.set(entry.id, { turnsLeft: this.cacheDuration });
|
||||
});
|
||||
|
||||
const allRelevantUIDs = new Set([...currentMatches.map(e => e.id), ...this.activeWorldInfoCache.keys()]);
|
||||
|
||||
const relevantWorldInfo = this.worldInfo.filter(entry => allRelevantUIDs.has(entry.id));
|
||||
|
||||
return {
|
||||
rules: relevantRules,
|
||||
worldInfo: relevantWorldInfo
|
||||
};
|
||||
}
|
||||
|
||||
estimateTokens(text) {
|
||||
return Math.ceil((text || '').length / 3.5);
|
||||
}
|
||||
|
||||
buildMessages(systemPrompt, history, maxTokens) {
|
||||
const limit = maxTokens || this.tokenLimit;
|
||||
const systemTokens = this.estimateTokens(systemPrompt);
|
||||
let availableTokens = limit - systemTokens - 1000;
|
||||
|
||||
if (availableTokens < 0) availableTokens = 1000;
|
||||
|
||||
const optimizedHistory = this.optimizeToolOutputs(history);
|
||||
|
||||
const finalMessages = [];
|
||||
let currentTokens = 0;
|
||||
|
||||
for (let i = optimizedHistory.length - 1; i >= 0; i--) {
|
||||
const msg = optimizedHistory[i];
|
||||
const msgTokens = this.estimateTokens(msg.content);
|
||||
|
||||
if (currentTokens + msgTokens > availableTokens) {
|
||||
finalMessages.unshift({ role: 'system', content: "[Earlier history truncated to save tokens]" });
|
||||
break;
|
||||
}
|
||||
|
||||
finalMessages.unshift(msg);
|
||||
currentTokens += msgTokens;
|
||||
}
|
||||
|
||||
return [
|
||||
{ role: 'system', content: systemPrompt },
|
||||
...finalMessages
|
||||
];
|
||||
}
|
||||
|
||||
optimizeToolOutputs(history) {
|
||||
let toolOutputCount = 0;
|
||||
const reversedHistory = [...history].reverse();
|
||||
|
||||
const processedReversed = reversedHistory.map((msg) => {
|
||||
if (msg.role === 'user' && msg.content.startsWith('[Tool Result')) {
|
||||
toolOutputCount++;
|
||||
|
||||
if (toolOutputCount > this.keepToolOutputTurns) {
|
||||
const firstLine = msg.content.split('\n')[0];
|
||||
return {
|
||||
role: msg.role,
|
||||
content: `${firstLine}\n[Content hidden to save tokens. The tool was executed successfully.]`
|
||||
};
|
||||
}
|
||||
}
|
||||
return msg;
|
||||
});
|
||||
|
||||
return processedReversed.reverse();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,91 +1,91 @@
|
||||
import { callAi, getApiConfig } from "./api.js";
|
||||
|
||||
export class MemorySystem {
|
||||
constructor() {
|
||||
this.summarizePrompt = `
|
||||
The current conversation context is growing large. Your task is to create a comprehensive, structured summary of the character/world generation process so far.
|
||||
This summary will be used as the "Memory" for the next steps, so it must be detailed enough to prevent information loss.
|
||||
|
||||
Please summarize the following:
|
||||
1. **Core Identity**: Name, Age, Gender, Role, etc.
|
||||
2. **Personality & Traits**: Key personality keywords, behavioral quirks, speech patterns.
|
||||
3. **Appearance**: Physical description, clothing, accessories.
|
||||
4. **Background & Lore**: Backstory, world setting, important relationships.
|
||||
5. **Current Progress**: What has been completed, what is currently being worked on, and what is left to do.
|
||||
6. **User Preferences**: Any specific constraints or requests made by the user (e.g., "Make her tsundere", "Don't use modern technology").
|
||||
|
||||
Format your response as a structured Markdown block.
|
||||
`;
|
||||
}
|
||||
|
||||
async extractKeyFacts(history) {
|
||||
const extractionPrompt = `
|
||||
Analyze the recent conversation and extract "Key Facts" that should be remembered long-term.
|
||||
Key Facts include:
|
||||
- Specific decisions made (e.g., "Character has blue eyes", "Weapon is a sword").
|
||||
- User preferences stated (e.g., "User dislikes horror").
|
||||
- Completed milestones.
|
||||
|
||||
Do NOT include temporary conversation details or planning steps.
|
||||
Return the facts as a JSON array of strings. Example: ["Eyes: Blue", "Class: Mage"].
|
||||
Output ONLY valid JSON.
|
||||
`;
|
||||
const recentHistory = history.slice(-5);
|
||||
const messages = [
|
||||
{ role: 'system', content: extractionPrompt },
|
||||
...recentHistory
|
||||
];
|
||||
|
||||
try {
|
||||
const response = await callAi('executor', messages, {
|
||||
max_tokens: 500,
|
||||
temperature: 0.3
|
||||
});
|
||||
const cleanResponse = response.replace(/```json/g, '').replace(/```/g, '').trim();
|
||||
const facts = JSON.parse(cleanResponse);
|
||||
return Array.isArray(facts) ? facts : [];
|
||||
} catch (error) {
|
||||
console.warn("Failed to extract key facts:", error);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
async summarize(history, taskState) {
|
||||
const config = getApiConfig('executor');
|
||||
|
||||
const newFacts = await this.extractKeyFacts(history);
|
||||
if (newFacts.length > 0) {
|
||||
taskState.addKeyFacts(newFacts);
|
||||
}
|
||||
|
||||
const contextMsg = `
|
||||
[System Note]: The following is the current Task State. Use this to inform your summary.
|
||||
${taskState.getPromptContext()}
|
||||
`;
|
||||
|
||||
const messages = [
|
||||
{ role: 'system', content: this.summarizePrompt },
|
||||
...history.slice(-10),
|
||||
{ role: 'user', content: `Please summarize the session based on the history above. ${contextMsg}` }
|
||||
];
|
||||
|
||||
try {
|
||||
const response = await callAi('executor', messages, {
|
||||
max_tokens: 2000,
|
||||
temperature: 0.5
|
||||
});
|
||||
|
||||
return response;
|
||||
} catch (error) {
|
||||
console.error("Failed to generate summary:", error);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
shouldSummarize(history, tokenCount, maxTokens) {
|
||||
const tokenUsageRatio = tokenCount / maxTokens;
|
||||
if (tokenUsageRatio > 0.7) return true;
|
||||
if (history.length > 35) return true;
|
||||
return false;
|
||||
}
|
||||
}
|
||||
import { callAi, getApiConfig } from "./api.js";
|
||||
|
||||
export class MemorySystem {
|
||||
constructor() {
|
||||
this.summarizePrompt = `
|
||||
The current conversation context is growing large. Your task is to create a comprehensive, structured summary of the character/world generation process so far.
|
||||
This summary will be used as the "Memory" for the next steps, so it must be detailed enough to prevent information loss.
|
||||
|
||||
Please summarize the following:
|
||||
1. **Core Identity**: Name, Age, Gender, Role, etc.
|
||||
2. **Personality & Traits**: Key personality keywords, behavioral quirks, speech patterns.
|
||||
3. **Appearance**: Physical description, clothing, accessories.
|
||||
4. **Background & Lore**: Backstory, world setting, important relationships.
|
||||
5. **Current Progress**: What has been completed, what is currently being worked on, and what is left to do.
|
||||
6. **User Preferences**: Any specific constraints or requests made by the user (e.g., "Make her tsundere", "Don't use modern technology").
|
||||
|
||||
Format your response as a structured Markdown block.
|
||||
`;
|
||||
}
|
||||
|
||||
async extractKeyFacts(history) {
|
||||
const extractionPrompt = `
|
||||
Analyze the recent conversation and extract "Key Facts" that should be remembered long-term.
|
||||
Key Facts include:
|
||||
- Specific decisions made (e.g., "Character has blue eyes", "Weapon is a sword").
|
||||
- User preferences stated (e.g., "User dislikes horror").
|
||||
- Completed milestones.
|
||||
|
||||
Do NOT include temporary conversation details or planning steps.
|
||||
Return the facts as a JSON array of strings. Example: ["Eyes: Blue", "Class: Mage"].
|
||||
Output ONLY valid JSON.
|
||||
`;
|
||||
const recentHistory = history.slice(-5);
|
||||
const messages = [
|
||||
{ role: 'system', content: extractionPrompt },
|
||||
...recentHistory
|
||||
];
|
||||
|
||||
try {
|
||||
const response = await callAi('executor', messages, {
|
||||
max_tokens: 500,
|
||||
temperature: 0.3
|
||||
});
|
||||
const cleanResponse = response.replace(/```json/g, '').replace(/```/g, '').trim();
|
||||
const facts = JSON.parse(cleanResponse);
|
||||
return Array.isArray(facts) ? facts : [];
|
||||
} catch (error) {
|
||||
console.warn("Failed to extract key facts:", error);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
async summarize(history, taskState) {
|
||||
const config = getApiConfig('executor');
|
||||
|
||||
const newFacts = await this.extractKeyFacts(history);
|
||||
if (newFacts.length > 0) {
|
||||
taskState.addKeyFacts(newFacts);
|
||||
}
|
||||
|
||||
const contextMsg = `
|
||||
[System Note]: The following is the current Task State. Use this to inform your summary.
|
||||
${taskState.getPromptContext()}
|
||||
`;
|
||||
|
||||
const messages = [
|
||||
{ role: 'system', content: this.summarizePrompt },
|
||||
...history.slice(-10),
|
||||
{ role: 'user', content: `Please summarize the session based on the history above. ${contextMsg}` }
|
||||
];
|
||||
|
||||
try {
|
||||
const response = await callAi('executor', messages, {
|
||||
max_tokens: 2000,
|
||||
temperature: 0.5
|
||||
});
|
||||
|
||||
return response;
|
||||
} catch (error) {
|
||||
console.error("Failed to generate summary:", error);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
shouldSummarize(history, tokenCount, maxTokens) {
|
||||
const tokenUsageRatio = tokenCount / maxTokens;
|
||||
if (tokenUsageRatio > 0.7) return true;
|
||||
if (history.length > 35) return true;
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,109 +1,109 @@
|
||||
export class TaskState {
|
||||
constructor() {
|
||||
this.reset();
|
||||
}
|
||||
|
||||
reset() {
|
||||
this.originalRequest = "";
|
||||
this.currentGoal = "";
|
||||
this.completedSteps = [];
|
||||
this.pendingSteps = [];
|
||||
this.summary = "";
|
||||
this.generatedData = {};
|
||||
this.style_reference = "";
|
||||
this.keyFacts = [];
|
||||
this.lastSummaryTimestamp = 0;
|
||||
}
|
||||
|
||||
init(request) {
|
||||
this.reset();
|
||||
this.originalRequest = request;
|
||||
this.currentGoal = "Analyze request and plan steps";
|
||||
this.lastSummaryTimestamp = Date.now();
|
||||
}
|
||||
|
||||
updateSummary(newSummary) {
|
||||
this.summary = newSummary;
|
||||
this.lastSummaryTimestamp = Date.now();
|
||||
}
|
||||
|
||||
addCompletedStep(step) {
|
||||
this.completedSteps.push(step);
|
||||
}
|
||||
|
||||
setPendingSteps(steps) {
|
||||
this.pendingSteps = steps;
|
||||
}
|
||||
|
||||
setCurrentGoal(goal) {
|
||||
this.currentGoal = goal;
|
||||
}
|
||||
|
||||
updateGeneratedData(key, value) {
|
||||
this.generatedData[key] = value;
|
||||
}
|
||||
|
||||
setStyle(style) {
|
||||
this.style_reference = style;
|
||||
}
|
||||
|
||||
addKeyFacts(facts) {
|
||||
this.keyFacts.push(...facts);
|
||||
}
|
||||
|
||||
getPromptContext() {
|
||||
let context = `\n# Task State\n`;
|
||||
context += `- **Original Request**: ${this.originalRequest}\n`;
|
||||
context += `- **Current Goal**: ${this.currentGoal}\n`;
|
||||
|
||||
if (this.style_reference) {
|
||||
context += `- **Style Reference**: ${this.style_reference}\n`;
|
||||
}
|
||||
|
||||
if (this.completedSteps.length > 0) {
|
||||
context += `- **Completed Steps**:\n${this.completedSteps.map(s => ` - ${s}`).join('\n')}\n`;
|
||||
}
|
||||
|
||||
if (this.pendingSteps.length > 0) {
|
||||
context += `- **Pending Steps**:\n${this.pendingSteps.map(s => ` - ${s}`).join('\n')}\n`;
|
||||
}
|
||||
|
||||
if (this.keyFacts.length > 0) {
|
||||
context += `\n# Key Facts (Long Term Memory)\n`;
|
||||
this.keyFacts.forEach(fact => context += `- ${fact}\n`);
|
||||
}
|
||||
|
||||
if (this.summary) {
|
||||
context += `\n# Recent Context Summary\n${this.summary}\n`;
|
||||
}
|
||||
|
||||
return context;
|
||||
}
|
||||
|
||||
toJSON() {
|
||||
return {
|
||||
originalRequest: this.originalRequest,
|
||||
currentGoal: this.currentGoal,
|
||||
completedSteps: this.completedSteps,
|
||||
pendingSteps: this.pendingSteps,
|
||||
summary: this.summary,
|
||||
generatedData: this.generatedData,
|
||||
style_reference: this.style_reference,
|
||||
keyFacts: this.keyFacts,
|
||||
lastSummaryTimestamp: this.lastSummaryTimestamp
|
||||
};
|
||||
}
|
||||
|
||||
fromJSON(json) {
|
||||
if (!json) return;
|
||||
this.originalRequest = json.originalRequest || "";
|
||||
this.currentGoal = json.currentGoal || "";
|
||||
this.completedSteps = json.completedSteps || [];
|
||||
this.pendingSteps = json.pendingSteps || [];
|
||||
this.summary = json.summary || "";
|
||||
this.generatedData = json.generatedData || {};
|
||||
this.style_reference = json.style_reference || "";
|
||||
this.keyFacts = json.keyFacts || [];
|
||||
this.lastSummaryTimestamp = json.lastSummaryTimestamp || 0;
|
||||
}
|
||||
}
|
||||
export class TaskState {
|
||||
constructor() {
|
||||
this.reset();
|
||||
}
|
||||
|
||||
reset() {
|
||||
this.originalRequest = "";
|
||||
this.currentGoal = "";
|
||||
this.completedSteps = [];
|
||||
this.pendingSteps = [];
|
||||
this.summary = "";
|
||||
this.generatedData = {};
|
||||
this.style_reference = "";
|
||||
this.keyFacts = [];
|
||||
this.lastSummaryTimestamp = 0;
|
||||
}
|
||||
|
||||
init(request) {
|
||||
this.reset();
|
||||
this.originalRequest = request;
|
||||
this.currentGoal = "Analyze request and plan steps";
|
||||
this.lastSummaryTimestamp = Date.now();
|
||||
}
|
||||
|
||||
updateSummary(newSummary) {
|
||||
this.summary = newSummary;
|
||||
this.lastSummaryTimestamp = Date.now();
|
||||
}
|
||||
|
||||
addCompletedStep(step) {
|
||||
this.completedSteps.push(step);
|
||||
}
|
||||
|
||||
setPendingSteps(steps) {
|
||||
this.pendingSteps = steps;
|
||||
}
|
||||
|
||||
setCurrentGoal(goal) {
|
||||
this.currentGoal = goal;
|
||||
}
|
||||
|
||||
updateGeneratedData(key, value) {
|
||||
this.generatedData[key] = value;
|
||||
}
|
||||
|
||||
setStyle(style) {
|
||||
this.style_reference = style;
|
||||
}
|
||||
|
||||
addKeyFacts(facts) {
|
||||
this.keyFacts.push(...facts);
|
||||
}
|
||||
|
||||
getPromptContext() {
|
||||
let context = `\n# Task State\n`;
|
||||
context += `- **Original Request**: ${this.originalRequest}\n`;
|
||||
context += `- **Current Goal**: ${this.currentGoal}\n`;
|
||||
|
||||
if (this.style_reference) {
|
||||
context += `- **Style Reference**: ${this.style_reference}\n`;
|
||||
}
|
||||
|
||||
if (this.completedSteps.length > 0) {
|
||||
context += `- **Completed Steps**:\n${this.completedSteps.map(s => ` - ${s}`).join('\n')}\n`;
|
||||
}
|
||||
|
||||
if (this.pendingSteps.length > 0) {
|
||||
context += `- **Pending Steps**:\n${this.pendingSteps.map(s => ` - ${s}`).join('\n')}\n`;
|
||||
}
|
||||
|
||||
if (this.keyFacts.length > 0) {
|
||||
context += `\n# Key Facts (Long Term Memory)\n`;
|
||||
this.keyFacts.forEach(fact => context += `- ${fact}\n`);
|
||||
}
|
||||
|
||||
if (this.summary) {
|
||||
context += `\n# Recent Context Summary\n${this.summary}\n`;
|
||||
}
|
||||
|
||||
return context;
|
||||
}
|
||||
|
||||
toJSON() {
|
||||
return {
|
||||
originalRequest: this.originalRequest,
|
||||
currentGoal: this.currentGoal,
|
||||
completedSteps: this.completedSteps,
|
||||
pendingSteps: this.pendingSteps,
|
||||
summary: this.summary,
|
||||
generatedData: this.generatedData,
|
||||
style_reference: this.style_reference,
|
||||
keyFacts: this.keyFacts,
|
||||
lastSummaryTimestamp: this.lastSummaryTimestamp
|
||||
};
|
||||
}
|
||||
|
||||
fromJSON(json) {
|
||||
if (!json) return;
|
||||
this.originalRequest = json.originalRequest || "";
|
||||
this.currentGoal = json.currentGoal || "";
|
||||
this.completedSteps = json.completedSteps || [];
|
||||
this.pendingSteps = json.pendingSteps || [];
|
||||
this.summary = json.summary || "";
|
||||
this.generatedData = json.generatedData || {};
|
||||
this.style_reference = json.style_reference || "";
|
||||
this.keyFacts = json.keyFacts || [];
|
||||
this.lastSummaryTimestamp = json.lastSummaryTimestamp || 0;
|
||||
}
|
||||
}
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user